The purpose of this paper is to explore the impact of human resource (HR) management practices on achieving competitive advantage through studying the mediating role of employee satisfaction in the context of five-star hotels in Northern Cyprus.
To produce numeric data as well as to test the hypothesis, the researchers employed structural equation modeling and AMOS. The testing included (n=439) questionnaires. The model suggested by the authors examined the tourism sector, and in particular, five-star hotels located in Northern Cyprus.
The main research findings revealed that HR practices had a significant effect on competitive advantage. By comparison, the research findings revealed that the mediator variable had no effect on achieving competitive advantage for five-star hotels in Northern Cyprus.
This study demonstrates originality by responding to the recommendations of prior studies conducted on HR in Northern Cyprus Island. This makes a theoretical contribution to the field, since only Turkey recognizes Northern Cyprus, which makes conducting research on this country a challenge for researchers worldwide. Based on this study’s outcomes, this paper discusses its theoretical and practical implications, as well as recommendations for future research.
Elrehail, H., Harazneh, I., Abuhjeeleh, M., Alzghoul, A., Alnajdawi, S. and Ibrahim, H. (2019), "Employee satisfaction, human resource management practices and competitive advantage", European Journal of Management and Business Economics, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/EJMBE-01-2019-0001Download as .RIS
Emerald Publishing Limited
Copyright © 2019, Hamzah Elrehail, Ibrahim Harazneh, Mohammad Abuhjeeleh, Amro Alzghoul, Sakher Alnajdawi and Hussein M. Hussein Ibrahim
Published in European Journal of Management and Business Economics. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
The hotel industry is a growing global industry today due to growth in tourism worldwide. Similar to other industries, this industry is characterized by intense competition between companies. Each company must optimize its position to gain competitive advantage in order to survive and succeed in the market. Competitive advantage refers to a firm’s advantages over rival firms that help it to increase its sales (Solnet and Hood, 2008; Brown et al., 2015). In this respect, the firm needs to find the right strategy to confront the challenges faced by its industry. The firm needs to identify its strengths, weaknesses, opportunities and threats; it must design its strategies accordingly to achieve its organizational mission and vision (Uysal, 2013).
The world is experiencing massive changes with respect to technology, development, organizational practices, market structures and government policies (Collins and Smith, 2006; Lall and Teubal, 1998; Malik and Kotabe, 2009). All fields of production are increasingly competitive, and companies face intense competition with rival companies in their industry (Coad and Teruel, 2013). Nowadays, a company cannot succeed and maintain its position in the market if it does not execute strategic planning and resource optimization (Ahlvik et al., 2016). In the global economy, an organization needs to strengthen itself through prudent design of commercial policies to achieve success and sustainability in the industry. Human resources (HR) is a vital resource for any organization, and adequate management of HR can help an organization achieve its goals and objectives (Abdul-Halim et al., 2016).
A review of the literature reveals an increasing interest in the impact of HR management (HRM) practices on the competitive advantage of hotels (Albrecht et al., 2015; Chand and Katou, 2007; Hrout and Mohamed, 2014). Several studies have recognized the importance of HRM to improve an organization’s competitive advantage. However, a detailed study of the hotel industry that identifies the factors that can affect employee satisfaction, such as practical compensation in the hotel sector, does not exist (Pan, 2015). The researchers identified this gap, noting that only few studies examine how hotels implement HRM practices to obtain strong competitive advantages over their competitors (Domínguez-Falcón et al., 2016; Young-Thelin and Boluk, 2012). In this study, we consider HR practices as result-oriented practices that enable firms to become more effective and gain core competitive advantage. HR practices are defined as a group of internally coherent and consistent HR practices that are designed to promote employee competence, motivation, as well as commitment. Therefore, these practices are already oriented to superior business performance and to reach a competitive advantage.
Locke (1969) defined employee satisfaction as “the pleasurable emotional state resulting from the appraisal of one’s job as achieving or facilitating the achievement of one’s job values.” Many studies forget the power of employees for attaining competitive advantage (Pfeffer, 1994; Rose et al., 2010; Campbell et al., 2012; Pan, 2015). Employee commitment and satisfaction present a great opportunity for any organization (Walk, 2012). Cao and Chen (2016) mentioned that employee satisfaction can change from time to time and from one organization to another. Further, the more the employee satisfaction, the more will be the economic benefits obtained by the organization (Chi and Gursoy, 2009). Some studies pointed out that HRM practices lead to employee satisfaction and engagement; if embedded in organizational polices, these factors can help an organization to achieve competitive advantage and maintain a good level of organizational performance (Abubakar, Namin, Harazneh, Arasli and Tunç, 2017; Abubakar, Elrehail, Alatailat and Elçi, 2017; Albrecht et al., 2015; Parvin and Karbin, 2011; Ukil, 2016). Several additional studies noted that satisfied employees will generate competitive advantages (Ellinger et al., 2003; Matzler and Renzl, 2007).
Therefore, given the aforementioned gap in the existing literature, this study aimed to establish several important relationships that have not been well explored in the hotel sector in Northern Cyprus. First, this study examined the mediating role of employee satisfaction in the relationship between HRM practices and the competitive advantage of five-star hotels in which these factors have not been explored in the north of Cyprus or in the tourism sector. Second, this study contributes to the field of HRM in the hotel and tourism industry by offering an in-depth look at the existing literature. Third, it considers the mediation effect of employee satisfaction, which was initially introduced in hotel management and tourism. Finally, such complex relationships expand the dimension of research conducted in HRM and competitive advantage. The paper is organized as follows: it starts with hypothesis development, followed by methods, item measurements, data analysis, and discussion, and it finally concludes with implications and future direction.
Background and hypothesis development
Human resource planning, employee satisfaction and competitive advantage
Practitioners have long argued that competitive advantage is an advantage over rivals gained by offering a greater value to consumers. In other words, competitive advantage is the thing that differentiates a firm from its rivals. Drawing on the resource-based theory, competitive advantage can be achieved when a firm has a set of heterogeneous resources that is immovable. Wright et al. (1994) added that “a sustained competitive advantage exists only when other firms are incapable of duplicating the benefits of a competitive advantage.” In the context of HR planning, the employment and other employee-related issues are critical factors that must be considered.
In particular, the HR planning process must encompass human capital and the current and potential skills of employees, as well as organizational planning with respect to staffing. The scientific current of the theoretical foundations of management (Taylor, 1911), places more emphasis on the design of jobs to efficiently and appropriately use the human skills in question. Wright et al. (1994) noted that “human resources can be characterized as a commodity rather than a rare resource; however, to the extent that jobs require skills that allow for variation in individual contributions (i.e. when it is no longer a commodity), these skills should normally be distributed in the population.” Further, the organizations neglected the role of HRM in the innovation process that is essential to give the organization competitive advantage; to do so, the organization should adopt innovative behavior in HRM planning linked with a reward system to increase the level of employee satisfaction (Amarakoon et al., 2018; Elrehail et al., 2018).
Michael Porter noted that some firms are able to achieve technological superiority and they are able to differentiate and produce better-quality products or products that are more attuned to customer needs than their competitors. Staffing is the first step to realize this achievement, as happy and satisfied employees are productive employees. According to Ivancevich (2006), HR planning influences employee job satisfaction positively, because this allows employees to participate in organizing their own careers and making specific employment decisions. Coyle-Shapiro et al. (2013) added that sound HR planning can motivate employees, which influences their happiness, and happy employees are productive employees. Based on the extant literature, this study proposed the following hypotheses:
HR planning has a statistically significant impact on the competitive advantage.
Employee satisfaction would fully mediate the association between HR planning and the competitive advantage.
HR job analysis and design, employee satisfaction and competitive advantage
According to Klaus et al. (2003), an analysis of planned work and work design helps employees to show a greater commitment to work and the organization, which, in turn, influences individual and organizational performance as a result of employee satisfaction. A Randstad Engagement Index (2012) report suggested that the HR practices of job and task design, training and development, analysis and design of HR work have a profound effect on labor and work commitments. The report also urged new millennium organizations to enrich and provide various work-related duties and tasks. Further, significance and autonomy add enthusiasm to work commitments and pave the way to the building of trust.
Empirical findings show that work engagement is positively related to job satisfaction (Giallonardo et al., 2010; Karatepe and Olugbade, 2009; Yeh, 2013; Zopiatis et al., 2014). Intuitively speaking, an engaged employee is a satisfied employee. Therefore, if HR job analysis and design are rightly performed, employee satisfaction is expected to rise. The first type of activities relates to job enrichment, which entails task enrichment and assigning complex and challenging tasks. The second is job enlargement, which entails broadening the scope of a worker’s tasks. These activities are critical motivators that could enhance work engagement, which heightens employee satisfaction (Randstad Engagement Index, 2012).
Assigning tasks with greater autonomy and freedom, as well as variety, is thought to trigger internal motivation and enact personal responsibility. More specifically, success in such tasks will produce and enhance internal employee satisfaction, which will promote increased employee willingness to pursue both prescribed and voluntary work, thereby indirectly granting the focal organization a competitive advantage. This study argues that employee satisfaction may mediate the relationship between HR job analysis and design and competitive advantage. Based on the extant literature, the study proposed the following hypotheses:
Job analysis and design has a statistically significant impact on competitive advantage.
Employee satisfaction would fully mediate the relationship between job analysis and design and competitive advantage.
Employee performance appraisal, employee satisfaction and competitive advantage
Enterprises seeking to gain a competitive advantage should input processes and manipulate some resources over which they possess both direct and indirect control, including materials and human capital, to generate and achieve sustainability in the marketplace. On the contrary, employee performance appraisal is a meticulous process that involves a systematic evaluation of an employee’s work-related performance and productivity after a certain period. Performance appraisal can result in a rise in pay, promotion and other types of compensations. It is assumed that a better performance appraisal can have an impact on employee job satisfaction.
Supercilious performance among firms in the same sector and pomposity in production resources reflect a competitive advantage. As such, the ability to stay ahead of industry rivals creates an opportunity for firms to ensure market leadership. In particular, competitive advantage depicts the interplay between the types of competitive advantages, that is cost, differentiation and scope of a firm’s activities. Reportedly, modern appraisal systems improve employee satisfaction through personal recognition (Cowling and Newman, 1995). More specifically, an appraisal system that emphasizes employee development and personal growth will have a positive impact on employee satisfaction (Truss et al., 2010; Teagarden et al., 1992; Porter and Spear, 2010). Employee performance appraisal “is a process – often combining both written and oral elements – whereby management evaluates and provides feedback on employee job performance, including steps to improve or redirect activities as needed.”
Wayne and Kacmar (1991) noted that performance appraisal is an aversive process due to its ability to cause undesirable social consequences (i.e. workplace confrontation, conflicts and incivility), which may arise from poor appraisal practices through low and/or unfair ratings. Notably, employees who are satisfied with their workplace performance appraisal are often effective and efficient in their task. For instance, Khan (2009) examined the effect of performance appraisal on faculty member’s job performance and satisfaction. The author concluded that the absence of a proper performance appraisal system hindered faculty members’ job performance and satisfaction. Ahmed and Ahmed (2010) diagnosed the impact of performance appraisal on employee attitudinal and organizational outcomes in Pakistan. The authors concluded that a good performance appraisal system could decrease turnover and increase employee job satisfaction. This notion received similar empirical support from Darehzereshki (2013) and Deepa and Kuppusamy (2014). Hence, performance appraisal can trigger satisfaction among employees, which might translate into a competitive advantage for firms. Based on the extant literature, this study proposed the following hypotheses:
Employee performance appraisal has a statistically significant impact on the competitive advantage.
Employee satisfaction would fully mediate the relationship between employee performance appraisal and the competitive advantage.
HR recruitment, selection and placement; employee satisfaction; and competitive advantage
From various HRM approaches, we found that a major source of competitive advantage to a firm is finding the right employees, that is, HR recruitment, selection and placement. Existing research delineates that a substantial number of applicants are searching for jobs in roles that provide opportunities for challenge, growth, engagement and satisfaction (Mishra et al., 2014; Harter and Blacksmith, 2009; Xu and Cooper Thomas, 2011). Henceforth, “to attract and retain high caliber, high achieving, productive, committed and ‘engaged’ employees, organizations need to provide working contexts that provides a good ‘fit’ between the role expectations of prospective employees and their subsequent working environment” (Morgeson and Dierdorff, 2011). As noted by Sikora et al. (2016), organizations should employ qualified employees to achieve competitive advantage by using their skills and ability to perform their tasks in a proper way.
With respect to a strategic HR focus on employee satisfaction as a source of competitive advantage, existing research suggests that researchers have turned red to this HR utility. Therefore, this study attempts to fill this research void. Meyer and Gagné (2008), Macey and Schneider (2008) and Guest (2014) recommended that organizations who want dedicated, happy and energetic workers should use evidence-based selection processes to predict from a group of applicants those who are most likely to be engaged on the job. Nevertheless, it is important to note that employees who are engaged are satisfied employees, and this is a consequence of workers’ interaction with their situational context.
Clearly, whenever possible, “recruit current employees for new, more desirable jobs, rather than going outside the organization. By drawing on available workers who are already loyal to the firm and understand its mission, a good fit is more likely, thus enhancing employee engagement (Alatailat et al., 2019). For example, the Randstad Engagement Index found that 61 percent of employees expect to grow their careers with their current employers and just over one-third plan to seek a new position within their current company” (Randstad Engagement Index, 2012). In this respect, the paper argues that firms that want to enhance worker satisfaction should put more efforts to select the candidates who are best suited to the job and the firm’s culture.
As noted earlier, recruitment, selection and placement comprise the decision-making process used to determine and select the right candidate for a specific job. These practices aim to ensure job‒person fit and person‒organization fit. The point here is to diagnose compatibility between employees and their jobs, and compatibility between employees and their organizations; this eventually creates a better work environment (Tzafrir, 2006; Wright et al., 2005; Beh and Loo, 2013). A study by Katou and Budhwar (2006) found that recruitment, selection and placement correlated positively with some organizational and employee outcomes (e.g. employee satisfaction, effectiveness, efficiency, innovation and quality). In sum, strategic HR practices encourage high individual performance through employee satisfaction and subsequently promote competitive advantage. This results in two hypotheses:
Recruitment, selection and placement has a statistically significant impact on the competitive advantage.
Employee satisfaction would fully mediate the relationship between recruitment, selection and placement and the competitive advantage.
HR compensation and reward, employee satisfaction and competitive advantage
According to Sparrow et al. (1994), “the act of linking goal setting and rewards, coaching for performance, aspects of career development and performance evaluation and appraisal into an integrated process.” Most organizations try to get and tap the best out of their staff members, getting the best out of employees equals to individual performance, which is subsequently translated into organizational performance therefore creating competitive advantage. This is because the nature of global competition makes it compulsory for firms to measure and motivate services, quality, innovation and risk-taking behavior (Peters, 1992).
According to Dessler (2008, p. 390), reward and compensation are a form of pay given to workers as a result of their employment status. Such type of pay is very important for employees, for instance Aswathappa (2013) noted that compensation can influence employees living standard, status in the society, productivity and lastly employee work and organizational satisfaction. A study conducted in the USA suggests that public servants working for the US Government job satisfaction were influenced by compensation and reward (Ting, 1997). Handel (2000) showed that compensation and remunerations in form of commissions, stock options and cash recognitions increase employee satisfaction.
A similar research found that less remunerated and compensated employees are less satisfied than those who are highly compensated (Frye, 2004). In addition, empirical evidence asserted that a professionally designed compensation and reward system can enhance satisfaction, and it can also attract and retain talented employees, which leads to competitive advantage. Okpara (2004) stated that employee satisfaction is contingent on various factors, which subsume compensation, supervisor and co-workers support, appraisal and promotion. In this view, HR compensation and reward practices in a firm can enhance employee job satisfaction, which, in turn, enhance organizational performance. The greater the performance of an organization, the more likely that organization will achieve the competitive advantage. This study argues that employee satisfaction may mediate the relationship between HR compensation and reward, and competitive advantage. Based on the extant literature, the following hypotheses are proposed:
Compensation and reward has a statistically significant impact on the competitive advantage.
Employee satisfaction would fully mediate the association between compensation and reward and the competitive advantage.
Training and development, employee satisfaction and competitive advantage
Porter (1980) argued that for firms to gain competitive advantage, they should initiate strategic and managerial activities that rivals cannot easily imitate. Following this suggestion, scholars applied this concept to HRM (see e.g. Heimlich, 1990; Schuler and MacMillan, 1984). The majority of these researchers suggested that HR practices can be used to gain competitive advantage, as these practices are not easy for competitors to imitate. More specifically, capital and technology can be acquired easily at any time. However, it is “rather difficult to acquire a ready pool of highly qualified and highly motivated employees” (Sparrow et al., 1994).
Enterprises can gain a competitive advantage by using superior HR practices in numerous ways, including culture management; staffing and organizational structure; performance management, training and development and resourcing (Taamneh et al., 2018). Besides motivating employees, it is important to outsource certain tasks to appropriate and qualified individuals (external resourcing), and to train and develop employees concerning technology and business engineering. According to Beer et al. (1985), these issues are related to HR and human capital flow policy, which have an intimate relationship with employee satisfaction, as they tend to be more competent and comfortable with their assigned task and the work atmosphere itself.
Training and development denotes efforts and strategies by an organization to improve the skills, abilities and knowledge of current employees (Jiang et al., 2012; Chadwick and Dabu, 2009; Shaw et al., 2013). Albrecht et al. (2015) suggested that firms should do their best to mitigate feelings of anxiety and uncertainty among new employees, that is the excitement and enthusiasm of new workers should be built upon and translated into high levels of engagement. This process of “organizational socialization help newcomers to appreciate the values, abilities, expected behaviors, and social knowledge essential for assuming an organizational role and for participating as an organizational member” (Albrecht et al., 2015).
Nguyen et al. (2010) pointed out that training and development leads to the accumulation of knowledge and the development of human capital, which eventually influences the welfare of employees and job satisfaction. This is because employees can carry out assigned tasks easily and without difficulties. Broadly, employee job satisfaction improves the financial and non-financial performance of an organization. As a result, over the long term, employee job satisfaction creates a competitive advantage for the organization. In this sense, training and development has a significant impact on employee satisfaction, and satisfied employees contribute to competitive advantage. Based on the existing literature, this study proposed the following hypotheses:
Training and development has a statistically significant impact on the competitive advantage.
Employee satisfaction would fully mediate the association between training and development and the competitive advantage.
Some studies have examined the state of HRM practices in the hotel industry in Northern Cyprus. Although these studies provide insight into the industry, they do not comprehensively represent the players in the sector. In particular, indigenous-owned five-star hotels are the main focus, as they do not receive any aid or support from the government. Moreover, for determining the appropriate sample size, the researchers used 95 percent confidence level, 5 percent margin of error. According to Saunders et al. (2012), these percentages are appropriate for social science researchers.
The researchers applied IBM SPSS AMOS v21 to the data set, undertaking structural equation modeling (SEM) to diagnose the research model and identifying the data set’s underlying structure. Before testing the hypotheses, the researchers carried out confirmatory factor analysis (CFA) to assess the structure and properties of the measurement variables, as well as to corroborate convergent, discriminant and construct validity of the variables. More specifically, SEM is useful for evaluating complicated models, especially the ones that have mediation or a moderator. In this study, we have a mediation effect; as such, SEM can help uncover important relationships. This procedure has been used before in studies conducted in the same field (Elrehail, 2018; Abubakar, Namin, Harazneh, Arasli and Tunç, 2017; Abubakar, Elrehail, Alatailat and Elçi, 2017). Other methods, such as regression, cannot uncover measurement error, and thus may result in an inflated outcome (Raykov and Traynor, 2016).
HRM practices: the employees of the hotel were asked the extent to which they agreed with statements about HRM practices in their respective hotels. All response scales for the measures were on a five-point Likert scale, ranging from 1 (I strongly disagree) to 5 (I strongly agree). HRM practices were assessed with 24 items, for example: “the HR manager is involved in business strategy planning,” “the hotel has clearly defined and documented policies and procedures in place for recruitment and selection” and “the hotel executes needs-based training and development criteria” which were adapted from Wang and Zang (2005) and Alnajdawi et al. (2017).
Employee satisfaction: the study asked employees to describe their satisfaction with six items, for example: “satisfied with how the organization addresses internal issues impacting services and products” and “satisfied with rewards program,” as developed and validated by Dotson and Allenby (2010).
Competitive advantage: this indicates the degree to which a hotel has a disadvantage/advantage compared to primary competitors. The study measured this variable using nine items adopted from Lai et al. (2006), for example: “offers a similar product at a lower price,” “offers a low service cost,” “provides requested and customized services” and “promptly follows up with customer claims and complaints.”
This section clarifies the procedure used to improve the model, including the techniques used to improve the instrument, collect data and analyze the data. Therefore, it tested each aspect of the hypothetical model through HR planning, job analysis, recruitment, selection and placement, compensation, training and development, evaluation of employee performance, competitive advantage and employee satisfaction as mediating variables.
SEM assumes normality of the data set. Raykov et al. (2016) stated that “model fit permits one to obtain estimates of the model parameters with desirable properties, such as consistency and asymptotic unbiasedness and normality.” Rucker et al. (2011) noted that “mediation analyses focuses on examining the magnitude of indirect effects,” and such effects are best accessed via SEM analyses. Thus, this paper employed SEM and then used CFA as the fundamental research methodology. The researchers collected two independent models with the harnessed data to rule out the probability of common method variance and to discover the most suitable alternative model for the data (Elrehail, 2018). The next few paragraphs provide a detailed overview.
Next, the researchers diagnosed demographic variables (see Table I). The researchers sent a total of 600 questionnaires to hotel employees, and 451 employees responded, yielding a response rate of about 75 percent. Out of the 451 responses, 12 had missing data, and as such were eliminated from the analyses. Out of the 439 valid responses, 76 percent (337) of respondents were male, and the rest were female. The majority of the employees (89.7 percent) were aged between 18 and 30 years, about 10 percent were aged between 31 and 40 years old, and the rest were above 40 years. This outcome provided support to the existing demographic finding of the employee age distribution in the hospitality industry. According to a report by hostelmanagement.com, the average age of hotel employees is between 18 and 36 years. Similarly, the Institute of the Hospitality in the UK reported that the majority of the hospitality workforce is less than 29 years of age. In terms of education levels, an overwhelming number of the employees in Northern Cyprus hotels (81 percent) had bachelor’s degree, 13 percent had some college degrees and the rest had high school and/or higher degrees. Previous studies have shown that the literacy rate in Northern Cyprus is high, with approximately 90 percent of the population having a university education (Nadiri and Tanova, 2010). This highlights the unique nature of the high demand for university education in the country. Most participants (82 percent) had a monthly income between 1,500 and 1,999 Turkish Lira, and 15 percent had a monthly income between 2,000 and 2,499 Turkish Lira, and the rest exceeded 2,500 Turkish Lira. Finally, we observed the organizational tenure of the respondents; the results show that 76 percent of the participants worked for their organization between one and three years, 16 percent worked between four and seven years, and the rest worked above seven years.
First, the researchers tested a model in which all items from all constructs were designed to load on a single-factor model. The diagnosed single-factor model resulted in poor goodness-of-fit indices: (χ2=10,136.658, df=741; p<0.000; CFI=0.287, IFI=0.289, GFI=0.386, NFI=0.274, RMSEA=0.170, RMR=0.057). Next, the researchers tested the data on a ten-factor model. Overall, the outcome shows a good fit for the ten-factor model, as the model fit indices were stronger and better than the previous model, which supports the discriminant validity of our scales: (χ2=1,966.09, df=680; p<0.000; CFI=0.902, IFI=0.903, GFI=0.828, NFI=0.859, RMSEA=0.066, RMR=0.024).
In addition to aforementioned validity test and goodness-of-fit indices check, the researchers assessed construct, convergent, and discriminant validity by evaluating the items’ factor loadings. Overall, the factor loadings were above the cutoff point of 0.40, as recommended by Bagozzi and Yi (1988) and Byrne (2010). The factor loadings of the measurement variables ranged from 0.42 as the lowest value to 0.98 as the highest value. Only one item was eliminated from the study.
Consequently, the researchers also used the average variance extracted (AVE) to examine the convergent and discriminant validities of each construct. According to Fornell and Larcker (1981), to ensure convergent and discriminant validity, the AVE value of a given construct should account for more than 50 percent of the corresponding items. Table II shows that AVE accounted for more than 50 percent for each construct, respectively. Next, the study evaluated composite reliability (CR). Scholars such as Bagozzi and Edwards (1998) and Bagozzi and Yi (1988) asserted that CR value should exceed 0.60; inferring from Table II, all the CR exceeded the recommended cutoff value.
Furthermore, the researchers tested the scale item reliability using Cronbach’s α. Nunnally (1978) noted that α values that exceed 0.70 represent and suggest scale reliability as well as internal consistency of the research variables. Inferring from Table II, all α value of the constructs exceeded the recommended cutoff value. Overall, this outcome provides additional support for construct validity, convergent validity and discriminant validity for the constructs in the model. The results collectively provide evidence of convergent validity and internal consistency for the full measurement model and same results for paper recently published in the field (Alzghoul et al., 2018).
HRM practices have six dimensions. This study used the six dimensions as independent variables. Therefore, the potential threat of collinearity in the measurement model needs to be diagnosed. According to O’Brien (2007), “the VIF value of 5 or 10 or higher indicates a multicollinearity problem.” All values were below cutoff point 5 used by Alnajdawi et al. (2017). In general, the findings suggest that multicollinearity is not a major concern with the data set and that we can continue with the analysis.
Before testing the research hypothesis, several multivariate assumptions must be made for the SEM analysis to be carried out, namely, fit of the model, normality of the data set, and collinearity, reliability and validity of the construct. In particular, the current study’s sample size is equal to 439, which is considered adequate for the SEM analysis (Hair et al., 2010). The absolute maximum values of bias and kurtosis are 1,036 (<±1.5) and 1.54 (<±2), respectively (Kline, 2011). The highest VIF is 2.17 (<10) and the lowest tolerance is 0.46 (>0.1). In addition, no correlation coefficients are greater than 0.8, which shows that multicollinearity did not occur (Jahmani et al., 2018; Kline, 2011).
To proceed with the proposed model and test the hypothesized relationships, the researchers began initial testing using descriptive statistics and simple correlation analyses to examine the correlation and the nature of linkages between the study variables. Table III presents summary statistics and correlations as well as the discriminant validity of study variables. The results suggest that HR planning and job design and analysis did not positively correlate with employee satisfaction (r=0.072, p>0.05) and (r=0.083, p>0.05), respectively. However, employee performance appraisal (r=0.247, p<0.001), recruitment, selection and placement (r=0.309, p<0.001), compensation and rewards (r=0.355, p<0.001) and training and development (r=0.285, p<0.001) correlated positively with employee satisfaction. Next, employee satisfaction did not relate with service variety advantage. However, employee satisfaction was negatively related with cost advantage (r=−0.121, p<0.05) and service quality advantage (r=−0.105, p<0.05).
As indicated in Tables IV and V, a significant relationship exists between the independent variables and the dependent variable.
H1 predicted that HR planning would have a significant impact on the competitive advantage of five-star hotels. The path coefficient from HR planning to competitive advantage was significant and positive (β=0.172, p=0.019). Therefore, H1 received support.
H2 predicted that HR job analysis and design would have a significant impact on the competitive advantage of five-star hotels. The path coefficient from HR job analysis and design to competitive advantage was significant and negative (β=−0.271, p=0.000). Therefore, H2 received support.
H3 predicted that employee performance appraisal would have a significant impact on the competitive advantage of five-star hotels. The path coefficient from employee performance appraisal to competitive advantage was positive and significant (β=0.138, p=0.000). Therefore, H3 received support.
H4 predicted that HR recruitment, selection and placement would have a significant impact on the competitive advantage of five-star hotels. The path coefficient from HR recruitment, selection and placement to competitive advantage was significant and negative (β=−0.086, p<0.001). Therefore, H4 received support.
H5 predicted that HR compensation and rewards would have a significant impact on the competitive advantage of five-star hotels. The path coefficient from HR compensation and rewards to competitive advantage was not significant (β=0.033, p=0.318). Therefore, H5 did not receive support.
H6 predicted that training and development would have a significant impact on the competitive advantage of five-star hotels. The path coefficient from training and development to competitive advantage was negative and significant (β=−0.226, p=0.000). Therefore, H6 received support.
H7 proposed that employee satisfaction would fully mediate the association between HR planning and the competitive advantage of five-star hotels. Following the convention for testing mediation effects (Baron and Kenny, 1986), the researchers tested whether the predictor variable “HR planning” had an association with the proposed mediator and then with the dependent variable. The independent variable had a significant association with the dependent variable but not with the mediator. This violated the mediation assumptions; thus, H7 was rejected.
H8 proposed that employee satisfaction would fully mediate the association between HR job analysis and design and the competitive advantage of five-star hotels. Following the convention for testing mediation effects (Baron and Kenny, 1986), the researchers tested whether the predictor variables “HR job analysis and design” had an association with the proposed mediator and then with the dependent variable. The independent variable had a significant association with the dependent variable but not with the mediator. This violated the assumptions of mediation; thus, H8 was rejected.
H9 proposed that employee satisfaction would completely mediate employee performance evaluation associations and the competitive advantage of five-star hotels. After the conventions to test the effects of mediation (Baron and Kenny, 1986), the researchers tested whether the predictor variable “employee performance evaluation” had an association with the proposed mediator and then with the dependent variable. The independent variable had a significant association with the mediator but not with the dependent variable. This violated the mediation assumptions; thus, H9 was rejected.
H10 proposed that employee satisfaction would fully mediate the association between HR recruitment, selection and placement and the competitive advantage of five-star hotels. Following the convention for testing mediation effects (Baron and Kenny, 1986), the researchers tested whether the predictor variable “HR recruitment, selection, and placement” had an association with the proposed mediator and then with the dependent variable. The independent variable had a significant association with the dependent variable and with the mediator. To augment the mediation effect, bootstrap results with a 95 percent confidence interval, using 5,000 bootstrap simulation samples following the recommendation by Hayes and Preacher (2010), also confirmed that the indirect effect was insignificant. This, therefore, suggests that employee satisfaction does not mediate the association between HR recruitment, selection and placement and the competitive advantage of five-star hotels. Hence, H10 was rejected.
H11 proposed that employee satisfaction would fully mediate the associations between HR compensation and rewards and the competitive advantage of five-star hotels. Following the convention for testing mediation effects (Baron and Kenny, 1986), the researchers tested whether the predictor variable “HR compensation and reward” had an association with the proposed mediator and then with the dependent variable. The independent variable had a significant association with the mediator but not with the dependent variable. This violated the mediation assumptions; thus, H11 was rejected.
H12 proposed that employee satisfaction would fully mediate the association between training and development and the competitive advantage of five-star hotels. Following the convention for testing mediation effects (Baron and Kenny, 1986), the researchers tested whether the predictor variable “training and development” had an association with the proposed mediator and then with the dependent variable. The independent variable had a significant association with the mediator and with the dependent variable. To increase the mediation effect, the bootstrap results with a 95 percent confidence interval, using 5,000 bootstrap simulation samples following the recommendation by Hayes and Preacher (2010), also confirmed that the indirect effect was negligible. Therefore, the results suggest that employee satisfaction does not mediate training and development associations and the competitive advantage of five-star hotels. Therefore, H12 was rejected.
Discussion and conclusion
This study examined the role of HR practices in shaping the competitive advantage of five-star hotels in Northern Cyprus. We presented and diagnosed a model that included three precedents of competitive advantage (cost advantage, service quality advantage and variety of service advantage) that have not been considered until now, namely, HR planning; analysis and work design; evaluation of employee performance; hiring, selection and placement; compensation and rewards; and training and development. The framework also engulfs a mediating variable, namely, employee satisfaction. Previous work concerning the association between HR practices and employee or organizational outcomes focused on indicators like employee performance, creativity, team cohesion, teamwork, work values, work commitment, psychological capital and workplace climate. HR can serve a competitive advantage to the business organization. However, research showed that practice-oriented perspective is more important, as it explores the value of HR practices in spite of the quality of HR pool. Narasimha (2008) discussed this topic through the target/thrust matrix, which described the potential for capitalization in superior HRM to gain and maintain a competitive advantage. Further, Altarawmneh and Al-Kilani (2010) mentioned that five-star hotels are mostly more profitable compared to other ranked hotels. Moreover, “that convention is simply because high performing organizations have the resources to divert to the development activities that low performing organizations find difficult to provide” (Altarawmneh and Al-Kilani, 2010, p. 49). Zheng et al. (2006) noted that “human resource value creation processes that are based on the appropriate application of the key HRM practices are more likely to encourage businesses and organizations.” From the point of view of hotel industry, efficiency and quality improvement are mandatory for competitive advantage in five-star hotels (Serafini and Szamosi, 2015). Moreover, the hotel industry needs to handle the employees effectively. This study took these key HRM practices into account as predictors of competitive advantage in the Northern Cyprus hotel industry.
H1 predicted that HR planning would have a significant impact on the competitive advantage of five-star hotels. This hypothesis received empirical support; a plausible explanation can be inferred from prior work. According to Becker and Huselid (1998), HR planning is strongly linked with positive enterprise outcomes, through work engagement (Batt, 2002); creative and innovative behaviors (MacDuffie, 1995); and firm economic performance (Sánchez et al., 2015), and subsequently competitive advantage. Notably, proper HR planning can promote unique skills in employees that accord with the attainment of a sustainable competitive advantage for the organization. This notion has received empirical support (Chen et al., 2009; Collins and Clark, 2003). HR planning contributes to the competitive advantage of five-star hotels in Northern Cyprus, in the sense that it ensures that hotels achieve and maintain sustainability.
H2 received empirical support; a plausible explanation can be inferred from prior work. In their study, Brannick and Levine (2002) suggested that HR job analysis and design is useful as it helps firms to identify future workforce needs and skills; firms with proper personnel management system can maximize their work process efficiencies, which is linked with business performance (Bowin and Harvey, 2001). The finding in this study suggests that HR job analysis and design can be linked with a competitive advantage for five-star hotels. However, five-star hotels in Northern Cyprus should revisit and reorganize their HR job analysis and design attribute to change the negative perception, as evident from the negative relationship between the two variables.
This paper reveals a positive relationship between the evaluation of employee performance and the competitive advantage of five-star hotels, which supports H3. In a recent research, Aladwan et al. (2015) stated that “developing an evaluation system that accurately reflects employee satisfaction and commitment is a crucial and difficult task.” Matic (2008) added that workers who can match their work values with their workplace assessment system have a greater organizational commitment and are less likely to leave the organization. van Vianen et al. (2007) added that inferring from person‒organization fit theory, one could speculate that human behavior is a function of both the person and his/her environment. Notably, apart from the abovementioned work, this paper is the only one to have considered the role of performance appraisal in shaping competitive advantage in hotels. Technically, this study extended prior findings, as it focused specifically on competitive advantage as an organizational outcome.
This study found that HR recruitment, selection and placement has a significant impact on the competitive advantage of five-star hotels, thus providing empirical support for H4. Research shows that HR recruitment, selection and placement is associated with the selection of individuals who are motivated, qualified and the right person for a specific job. If such individuals are provided with the necessary incentives, their motivation increases; from a firm’s point of view, this may enhance the retention of quality employees and subsequently enhance individual and/or organizational performance (Sánchez et al., 2015). However, extant research has made no attempt to link HR recruitment, selection, placement and competitive advantage. This study fills this gap by identifying the nature of the relationship between HR recruitment, selection, placement and competitive advantage. This study’s outcome proposes a material implication for five-star hotels in Northern Cyprus: the researchers suggest that HR recruitment, selection and placement needs to be improved, as the current system seems to mitigate competitive advantage due to a negative relationship.
This study uncovered no significant relationship between HR compensation and rewards and the competitive advantage of five-star hotels. This is surprising as existing theoretical framework suggested that HR compensation and reward policies have a positive and significant impact on related organizational concepts, for example, organizational commitment and organizational performance (Aladwan et al., 2015). Intuitively speaking, the researchers expected such a relationship with competitive advantage, because the competitive advantage is a construct similar to the aforementioned ones. Notwithstanding, in an “ever-competitive local and global business environment, many organizations are trying to develop effective reward strategies that are directly linked to the enhancement of employee and organizational performance” (Milne, 2007; Yeganeh and Su, 2008). Thus, “employee motivation is arguably a crucial intermediate variable between a performance-based compensation system and performance” (Fey et al., 2000).
Expectancy theory states that if firms provide employees with desired compensation and rewards, they are likely to perform in a way to obtain the reward. Nevertheless, the association in the data set is insignificant; Huselid (1995) noted that “performance-based compensation and merit-based promotion are ingredients in organizational incentive systems that serve to encourage individual performance and retention.” The two compensation and reward system should be balanced to have the desired organizational outcome. This study’s findings led the researchers to reject H5; a compensation and reward system did not enhance competitive advantage of five-star hotels. Based on this, the researchers call on five-star hotel establishments in Northern Cyprus to balance and monitor their compensation and reward system, because other underlying factors may be creating the current causal effect with the variables in question.
H6 predicted that training and development would have a significant impact on the competitive advantage of five-star hotels. This hypothesis received empirical support; a plausible explanation can be inferred from prior work. Recent findings by Sánchez et al. (2015) suggested that “training and development improve the knowledge, skills, and abilities of a firm’s current and potential employees.” Training and development was positively linked with organizational commitment (Feldman and Ng, 2007). Further, Tzafrir (2006) added that training and development was closely associated with work values, performance and organizational commitment. However, this study found that the relationship is inverse. Hence, the researchers suggest that training and development programs in five-star hotels in Northern Cyprus must be reframed, as employees seem to hold a negative perception of the policy.
Furthermore, the study found that employee satisfaction did not mediate the relationship between the six HRM practice dimensions – namely, HR planning; job analysis and design; employee performance appraisal; recruitment, selection and placement; compensation and rewards; and training and development – and competitive advantage. Thus, H7–H12 were rejected. However, existing literature suggests that a potential linkage exists. The number of theoretical and empirical frameworks denotes that HR practices have a profound effect on organizational climate (Bowen and Ostroff, 2004). In fact, well-designed and consistent “HRM policies, practices, and procedures communicate to employees expectations about the skills, knowledge, motivations, attitudes, norms, values, and behaviors expected within their organization” (Bowen and Ostroff, 2004). Henceforth, a favorable organizational climate may inflate employee engagement, which can be a source of competitive advantage (Albrecht et al., 2015).
Some meta-analyses have argued that work engagement influences the attitudinal, behavioral and performance of employees (e.g. Halbesleben, 2010). In this regard, Demerouti et al. (2010) cautioned that competitive advantage is a complex and multifaceted construct. The current findings advance our knowledge on the associations between the six HRM practices and competitive advantage by showing that such an association does not exist. This means that a firm’s competitive advantage does not share any variance with employee satisfaction as evident and applicable to work engagement. A plausible explanation for the current outcome might be that competitive advantage is more related to strategic HRM practices and not to an individual variable, such as employee satisfaction. That is, “greater potential for sustainable competitive advantage stems from investments in firm-specific skills, skills that cannot be easily duplicated by competitors”. The current outcome, which is the absence of mediation, is groundbreaking; hence, further research is needed before other alternatives could be ruled out and the present findings archived.
Theoretical and practical implications
Few studies have attempted to explore the relationship between HR practices and competitive advantage. The scarcity of existing studies has resulted in various approaches to causality between HR practices, work engagement and firm performance (Albrecht et al., 2015). This paper goes beyond the typical vision of work engagement as a mediator of the relationship between HR practices and organizational performance (Huselid, 1995). It proposes an alternative model that links the role of strategic HR practices as a catalyst for shaping the competitive advantage of hotels. Thus, it fills an important gap in the research area, as indicated by a review of the literature (Jiang et al., 2013; Jackson et al., 2014), which calls for studies interaction between HR practices, firm performance and competitive advantage. This paper shows that HR practices may result in additional organizational outcomes in the workplace.
Based on this study’s mixed results, the researchers recommend that hotel management should “change [its] mind set from the traditional sub-functional (selection, training, appraisal, compensation, etc.) view of HR to one where all of these independent sub-functions are viewed as interrelated components of a highly interdependent system.” Given the need to understand the system clearly, rivals would find it difficult to identify or replicate a firm’s strategy, since it requires time and energy and all the components to complement each other. In order to gain a quality advantage, the HR department of a company needs to adopt proper selection and growth strategy. The HR department needs to focus on developing healthy working environment, where employees can fulfill all the demands of customers. HR managers also need to take care of the health and safety of employees in the workplace. They need to develop appropriate incentive and appraisal structure for employees so that they work in accordance with the company objectives. For example, in the hotel industry, it is the primary requirement of hotels to meet the demands of customers. Hence, management of the hotels has to give incentives to the employees who responded quickly to the queries of customers.
Hotel managers need to seek ways to trigger employees, by establishing such initiatives to make the employees more innovative and valuing them via rewards or engaging them in the decision-making process (Karatepe, 2012; Abuhjeeleh et al., 2018). Besides, human capital is one the most important resources that gives any organization a competitive advantage and a leading strategic position among the competitors in the market (Takeuchi et al., 2003). The outcome of this study also highlights that top management may be interested in benchmarking in relation to HR practices. Barney and Wright (1997) noted that “benchmarking identifies the rules of competition in an industry and can be maximally valuable in providing information on two issues. First, it helps firms to identify what superior practices the competition is engaged in which might provide them a competitive advantage until other firms can imitate it. Second, benchmarking should be used to identify ways to leapfrog competitors. This is accomplished through developing innovative HR practices, and is especially successful if they are ones that competitors will find it costly or difficult to imitate.”
Research limitations and directions for future research
This study had some limitations. First, the researchers obtained ratings of HR practices, employee satisfaction and competitive advantage at the same time. The researchers cannot rule out that individual ratings may have influenced or biased their ratings of the hotel’s HR practices and competitive advantage. However, results from our confirmatory factor analyses and Harman’s one-factor test suggest no significant concerns regarding common method bias. Nevertheless, relying on the same source measures may cause an underlying methodological problem. In other words, this study’s cross-sectional design may have a profound effect on the findings. The findings are also only applicable to the Northern Cyprus hotel industry and, more specifically, to five-star hotels in that industry.
Thus, the researchers caution readers that the findings are only applicable to established hotels and industries. “Longitudinal studies and multilevel analytic approaches to differentiate and disaggregate variance at individual, group and organizational levels can help map the strength of proposed direct and indirect relationships.” Further theoretical research is needed to determine how HR practices interact with other variables with an inclusive, competitive advantage in other industries or cultural settings. Fortunately, our model can stimulate and guide future research and promote a greater understanding of the importance of strategically orienting HRM practices to stimulate competitive advantage.
|More than 40||2||0.5|
|Income in TL|
|More than 3,000||2||0.5|
|Diploma or associate degree||59||13.4|
Note: TL, Turkish Lira
Reliability and validity of the research variables
|Human resource planning||0.83||0.67||0.84|
|Job analysis and design||0.72||0.88||0.86|
|Employee’s performance appraisal||0.53||0.81||0.81|
|Recruitment, selection and placement||0.55||0.86||0.85|
|Compensation and rewards||0.73||0.91||0.92|
|Training and development||0.61||0.89||0.89|
|Service variety advantage||0.61||0.85||0.85|
|Service quality advantage||0.69||0.92||0.92|
Notes: AVE, average variance extracted; CR, composite reliability; α, Cronbach’s α
Descriptive statistics and correlations between the study variables
|1. Human resource planning||–|
|2. Job analysis and design||0.626**||–|
|3. Employee performance appraisal||0.191**||0.282**||–|
|4. Recruitment, selection, and placement||0.391**||0.402**||0.487**||–|
|5. Compensation and rewards||0.287**||0.236**||0.444**||0.645**||–|
|6. Training and development||0.341**||0.320**||0.441**||0.560**||0.567**||–|
|7. Employee satisfaction||0.072||0.083||0.247**||0.309**||0.355**||0.285**||–|
|8. Cost advantage||−0.146**||−0.241**||−0.066||−0.233**||−0.172**||−0.225**||−0.121*||–|
|9. Service variety advantage||−0.078||−0.218**||−0.070||−0.045||0.063||−0.114*||0.065||0.401**||–|
|10. Service quality advantage||−0.170**||−0.277**||−0.064||−0.182**||−0.163**||−0.229**||−0.105*||0.524**||0.418**||–|
Notes: Composite scores for each variable were computed by averaging respective item scores. *,**Significant at the 0.05 and 0.01 levels, respectively
Path analysis for the research model
|Independent variables||Dependent variables||β||t-value||Sig. level||Decision|
|Human resource planning||Competitive advantage||0.172||2.338||0.019||Accepted|
|Job analysis and design||Competitive advantage||−0.271||−7.377||***||Accepted|
|Employee performance appraisal||Competitive advantage||0.138||3.845||***||Accepted|
|Recruitment and selection||Competitive advantage||−0.086||−1.946||0.052||Accepted|
|Compensation and rewards||Competitive advantage||0.033||1.000||0.318||Rejected|
|Training and development||Competitive advantage||−0.226||−4.843||***||Accepted|
|Human resource planning||Employee satisfaction||−0.118||−1.541||0.123|
|Job analysis and design||Employee satisfaction||−0.020||−0.522||0.601|
|Employee performance appraisal||Employee satisfaction||0.060||1.606||0.108|
|Recruitment and selection||Employee satisfaction||0.120||2.613||0.009|
|Compensation and rewards||Employee satisfaction||0.171||5.029||***|
|Training and development||Employee satisfaction||0.104||2.146||0.032|
Notes: *p<0.1 level (two-tailed); **p<0.05 level (two-tailed); ***p<0.01 level (two-tailed)
Effect breakdown and distribution
|Independent variables||Dependent variables||Total effect||Direct effect||Indirect effect||p-value||Decision|
|Human resource planning→||Employee satisfaction→ Competitive advantage||0.172||0.170||0.002||0.538||Reject|
|Job analysis and design→||Employee satisfaction→ Competitive advantage||−0.271||−0.271||0.000||0.649||Reject|
|Employee performance appraisal→||Employee satisfaction→ Competitive advantage||0.137||0.138||−0.001||0.573||Reject|
|Recruitment and selection→||Employee satisfaction→ Competitive advantage||−0.088||−0.086||−0.002||0.609||Reject|
|Compensation and rewards→||Employee satisfaction→ Competitive advantage||0.031||0.033||−0.002||0.763||Reject|
|Training and development→||Employee satisfaction→ Competitive advantage||−0.228||0.227||−0.001||0.590||Reject|
Abdul-Halim, H., Che-Ha, N., Geare, A. and Ramayah, T. (2016), “The pursuit of HR outsourcing in an emerging economy: the effects of HRM strategy on HR labour costs”, Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l’Administration, Vol. 33 No. 2, pp. 153-168, available at: https://doi.org/10.1002/cjas.1370
Abubakar, A.M., Elrehail, H., Alatailat, M.A. and Elçi, A. (2017), “Knowledge management, decision-making style and organizational performance”, Journal of Innovation & Knowledge, Vol. 4 No. 2, pp. 104-114, available at: https://doi.org/10.1016/J.JIK.2017.07.003
Abubakar, A.M., Namin, B.H., Harazneh, I., Arasli, H. and Tunç, T. (2017), “Does gender moderates the relationship between favoritism/nepotism, supervisor incivility, cynicism and workplace withdrawal: a neural network and SEM approach”, Tourism Management Perspectives, Vol. 23, pp. 129-139, available at: https://doi.org/10.1016/j.tmp.2017.06.001
Abuhjeeleh, M., Elrehail, H. and Harazneh, I. (2018), “The experiential image of North Cyprus destination as perceived by German tourists”, Journal of Global Business Advancement, Vol. 11 No. 5, pp. 630-649.
Ahlvik, C., Smale, A. and Sumelius, J. (2016), “Aligning corporate transfer intentions and subsidiary HRM practice implementation in multinational corporations”, Journal of World Business, Vol. 51 No. 3, pp. 343-355, doi: 10.1016/j.jwb.2015.04.003.
Ahmed, A. and Ahmed, S. (2010), “Performance appraisals impact on attitudinal outcomes and organisational performance”, International Journal of Business and Management, Vol. 5 No. 10, pp. 62-68.
Aladwan, K., Bhanugopan, R. and D’Netto, B. (2015), “The effects of human resource management practices on employees’ organisational commitment”, International Journal of Organizational Analysis, Vol. 23 No. 3, pp. 472-492, doi: 10.1108/IJOA-11-2014-0822.
Alatailat, M., Elrehail, H. and Emeagwali, O.L. (2019), “High performance work practices, organizational performance and strategic thinking”, International Journal of Organizational Analysis, Vol. 27 No. 3, pp. 370-395.
Albrecht, S.L., Bakker, A.B., Gruman, J.A., Macey, W.H. and Saks, A.M. (2015), “Employee engagement, human resource management practices and competitive advantage”, Journal of Organizational Effectiveness: People and Performance, Vol. 2 No. 1, pp. 7-35, available at: https://doi.org/10.1108/JOEPP-08-2014-0042
Alnajdawi, S., Emeagwali, O.L. and Elrehail, H. (2017), “The interplay among green human resource practices, organization citizenship behavior for environment and sustainable corporate performance: evidence from Jordan”, Journal of Environmental Accounting and Management, Vol. 5 No. 3, pp. 169-182, doi: 10.5890/JEAM.2017.9.001.
Altarawmneh, I. and Al-Kilani, M.H. (2010), “Human resource management and turnover intentions in the Jordanian hotel sector”, Research and Practice in Human Resource Management, Vol. 18 No. 1, pp. 46-59, available at: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.731.482&rep=rep1&type=pdf (accessed March 9, 2019).
Alzghoul, A., Elrehail, H., Emeagwali, O.L. and AlShboul, M.K. (2018), “Knowledge management, workplace climate, creativity and performance”, Journal of Workplace Learning, Vol. 30 No. 8, pp. 592-612, available at: https://doi.org/10.1108/jwl-12-2017-0111
Amarakoon, U., Weerawardena, J. and Verreynne, M.L. (2018), “Learning capabilities, human resource management innovation and competitive advantage”, The International Journal of Human Resource Management, Vol. 29 No. 10, pp. 1736-1766.
Aswathappa, K. (2013), Human Resource Management: Text and Cases, McGraw Hill Education, New Delhi, available at: https://books.google.ae/books/about/Human_Resource_Management.html?id=uxJ_AgAAQBAJ&redir_esc=y (accessed July 3, 2019).
Bagozzi, R.P. and Edwards, J.R. (1998), “A general approach for representing constructs in organizational research”, Organizational Research Methods, Vol. 1 No. 1, pp. 45-87, doi: 10.1177/109442819800100104.
Bagozzi, R.P. and Yi, Y. (1988), “On the evaluation of structural equation models”, Journal of the Academy of Marketing Science, Vol. 16 No. 1, pp. 74-94.
Barney, J.B. and Wright, P.M. (1997), “On becoming a strategic partner: the role of human resources in gaining competitive advantage”, Human Resource Management, Vol. 37 No. 1, pp. 31-46, doi: 10.1002/(SICI)1099-050X(199821)37:1<31::AID-HRM4>3.0.CO;2-W.
Baron, R.M. and Kenny, D.A. (1986), “The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations”, Journal of Personality and Social Psychology, Vol. 51 No. 6, pp. 1173-1182, doi: 10.1037/0022-35188.8.131.523.
Batt, R. (2002), “Managing customer services: human resource practices, quit rates, and sales growth”, Academy of Management Journal, Vol. 45 No. 3, pp. 587-597, doi: 10.2307/3069383.
Becker, B.E. and Huselid, M.A. (1998), “High performance work systems and firm performance: a synthesis of research and”, Research in Personnel and Human Resource Management, Vol. 16, pp. 53-101, available at: www.markhuselid.com/pdfs/articles/1998_Research_in_PHRM_Paper.pdf
Beer, M., Spector, B., Lawrence, P.R. and Mills, D.Q. (1985), “Managing human assets: I. A general manager’s perspective”, Personnel Administrator, Vol. 30 No. 1, pp. 60-69, available at: http://psycnet.apa.org/psycinfo/1987-23603-001
Beh, L. and Loo, L. (2013), “Human resource management best practices and firm performance: a universalistic perspective approach”, Serbian Journal of Management, Vol. 8 No. 2, pp. 155-167, doi: 10.5937/sjm8-4573.
Bowen, D.E. and Ostroff, C. (2004), “Understanding HRM-firm performance linkages: the role of the ‘strength’ of the HRM system”, Academy of Management Review, Vol. 29 No. 2, pp. 203-221.
Bowin, R.B. and Harvey, D. (2001), Human Resource Management: An Experiential Approach, Prentice Hall, Englewood Cliffs, NJ.
Brannick, M.T. and Levine, E.L. (2002), Job Analysis: Methods, Research, and Applications for Human Resource Management in the New Millennium, 1st ed., SAGE Publications, Inc., Thousand Oaks, CA, January 16.
Brown, E.A., Thomas, N.J. and Bosselman, R.H. (2015), “Are they leaving or staying: a qualitative analysis of turnover issues for Generation Y hospitality employees with a hospitality education”, International Journal of Hospitality Management, Vol. 46, pp. 130-137, available at: https://doi.org/10.1016/j.ijhm.2015.01.011
Byrne, B.M. (2010), Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming, Routledge, New York, NY, doi: 10.4324/9781410600219.
Campbell, B.A., Coff, R. and Kryscynski, D. (2012), “Rethinking sustained competitive advantage from human capital”, Academy of Management Review, Vol. 37 No. 3, pp. 376-395, doi: 10.5465/amr.2010.0276.
Cao, C.X. and Chen, C. (2016), “Value of employee satisfaction during the financial crisis”, Managerial Finance, Vol. 42 No. 12, pp. 1208-1225, doi: 10.1108/MF-10-2015-0288.
Chadwick, C. and Dabu, A. (2009), “Human resources, human resource management, and the competitive advantage of firms: toward a more comprehensive model of causal linkages”, Organization Science, Vol. 20 No. 1, pp. 253-272, doi: 10.1287/orsc.1080.0375.
Chand, M. and Katou, A.A. (2007), “The impact of HRM practices on organisational performance in the Indian hotel industry”, Employee Relations, Vol. 29 No. 6, pp. 576-594, doi: 10.1108/01425450710826096.
Chen, E.T., Monahan, J. and Feng, D. (2009), “A longitudinal cross-section examination of the implementation of knowledge management systems and firm performance”, Journal of International Technology and Information Management, Vol. 18 No. 2, pp. 223-238.
Chi, C.G. and Gursoy, D. (2009), “Employee satisfaction, customer satisfaction, and financial performance: an empirical examination”, International Journal of Hospitality Management, Vol. 28 No. 2, pp. 245-253, doi: 10.1016/j.ijhm.2008.08.003.
Coad, A. and Teruel, M. (2013), “Inter-firm rivalry and firm growth: is there any evidence of direct competition between firms?”, Industrial and Corporate Change, Vol. 22 No. 2, pp. 397-425, doi: 10.1093/icc/dts018.
Collins, C.J. and Clark, K.D. (2003), “Strategic human resource practices, top management team social networks, and firm performance: the role of human resource practices in creating organizational competitive advantage”, Academy of Management Journal, Vol. 46 No. 6, pp. 740-751.
Collins, C.J. and Smith, K.G. (2006), “Knowledge exchange and combination: the role of human resource practices in the performance of high-technology firms”, Academy of Management Journal, Vol. 49 No. 3, pp. 544-560, doi: 10.5465/AMJ.2006.21794671.
Cowling, A. and Newman, K. (1995), “Banking on people”, Personnel Review, Vol. 24 No. 7, pp. 25-40, doi: 10.1108/00483489510095789.
Coyle-Shapiro, J. et al. (2013), Human Resource Management, University of London, only first 3 chapters, London.
Darehzereshki, M. (2013), “Effects of performance appraisal politics on job satisfaction and turnover”, International Journal of Enterprise Computing and Business Systems, Vol. 2 No. 1, pp. 1-18, doi: 10.1108/00483480410528850.
Deepa, E. and Kuppusamy, S. (2014), “Impact of performance appraisal system on job satisfaction, employee engagement, organizational citizenship behavior and productivity”, Indian Journal of Applied Research, Vol. 4 No. 2, pp. 4-6, available at: www.worldwidejournals.com/indian-journal-of-applied-research-(IJAR)/file.php?val=February_2014_1392373752_d5a23_55.pdf
Demerouti, E., Cropanzano, R., Bakker, A. and Leiter, M. (2010), “From thought to action: employee work engagement and job performance”, Work Engagement: A Handbook of Essential Theory and Research, Vol. 65, pp. 147-163.
Dessler, G. (2008), Human Resource Management, Prentice Hall of India Private Limited, New Delhi, doi: 10.1017/CBO9781107415324.004.
Domínguez-Falcón, C., Martín-Santana, J.D. and De Saá-Pérez, P. (2016), “Human resources management and performance in the hotel industry”, International Journal of Contemporary Hospitality Management, Vol. 28 No. 3, pp. 490-515, doi: 10.1108/IJCHM-08-2014-0386.
Dotson, J.P. and Allenby, G.M. (2010), “Investigating the strategic influence of customer and employee satisfaction on firm financial performance”, Marketing Science, Vol. 29 No. 5, pp. 895-908, doi: 10.1287/mksc.1100.0584.
Ellinger, A.D., Ellinger, A.E. and Keller, S.B. (2003), “Supervisory coaching behavior, employee satisfaction, and warehouse employee performance: a dyadic perspective in the distribution industry”, Human Resource Development Quarterly, Vol. 14 No. 4, pp. 435-458, doi: 10.1002/hrdq.1078.
Elrehail, H. (2018), “The relationship among leadership, innovation and knowledge sharing: a guidance for analysis”, Data in Brief, Vol. 19, pp. 128-133.
Elrehail, H., Emeagwali, O.L., Alsaad, A. and Alzghoul, A. (2018), “The impact of transformational and authentic leadership on innovation in higher education: the contingent role of knowledge sharing”, Telematics and Informatics, Vol. 35 No. 1, pp. 55-67, available at: https://doi.org/10.1016/j.tele.2017.09.018
Feldman, D.C. and Ng, T.W.H. (2007), “Careers: mobility, embeddedness, and success”, Journal of Management, Vol. 33 No. 3, pp. 350-377, doi: 10.1177/0149206307300815.
Fey, C.F., Björkman, I. and Pavlovskaya, A. (2000), “The effect of human resource management practices on firm performance in Russia”, International Journal of Human Resource Management, Vol. 11 No. 1, pp. 1-18, doi: 10.1080/095851900339963.
Fornell, V. and Larcker, C. (1981), “Evaluating structural equation models with observable variables and measurement error”, Journal of Marketing, Vol. 18 No. 1, pp. 39-50.
Frye, M.B. (2004), “Equity-based compensation for employees: firm performance and determinants”, Journal of Financial Research, Vol. 27 No. 1, pp. 31-54, doi: 10.1111/j.1475-6803.2004.00076.x.
Giallonardo, L.M., Wong, C.A. and Iwasiw, C.L. (2010), “Authentic leadership of preceptors: predictor of new graduate nurses’ work engagement and job satisfaction”, Journal of Nursing Management, Vol. 18 No. 8, pp. 993-1003, doi: 10.1111/j.1365-2834.2010.01126.x.
Guest, D. (2014), “Employee engagement: a sceptical analysis”, Journal of Organizational Effectiveness: People and Performance, Vol. 1 No. 2, pp. 141-156, doi: 10.1108/JOEPP-04-2014-0017.
Hair, J.F., Black, W.C., Babin, B.J. and Anderson, R.E. (2010), Multivariate Data Analysis, 7th ed., Prentice Hall, Upper Saddle River, NJ.
Halbesleben, J.R.B. (2010), “A meta-analysis of work engagement: relationships with burnout, demands, resources, and consequences”, Work Engagement: A Handbook of Essential Theory and Research, pp. 102-117, doi: 10.4324/9780203853047.
Handel, J. (2000), “Job value: employees are in the driver’s seat”, Journal of Workspace, Vol. 46 No. 6, pp. 28-32.
Harter, J.K. and Blacksmith, N. (2009), “Employee engagement and the psychology of joining, staying in, and leaving organizations”, in Garcea, N., Harrington, S. and Linley, P.A. (Eds), Oxford Handbook of Positive Psychology and Work, Psychology, Organizational Psychology, Social Psychology, Oxford University Press, doi: 10.1093/oxfordhb/9780195335446.013.0010.
Hayes, A.F. and Preacher, K.J. (2010), “Quantifying and testing indirect effects in simple mediation models when the constituent paths are nonlinear”, Multivariate Behavioral Research, Vol. 45 No. 4, pp. 627-660, available at: https://doi.org/10.1080/00273171.2010.498290
Heimlich, R.W. (1990), “Calling into question ‘WHO is us?’”, Harvard Business Review, Vol. 68 No. 3, pp. 198-202, available at: http://ezproxy.library.usyd.edu.au/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=buh&AN=9917073&site=ehost-live&scope=cite
Hrout, S.A.A. and Mohamed, B. (2014), “Human resource management practice tourism and hotel industry 2 factors affecting HRM practices”, SHS Web of Conferences, p. 5, doi: 10.1051/shsconf/20141201076.
Huselid, M.A. (1995), “The impact of human resource management practices on turnover, productivity, and corporate financial performance”, Academy of Management Journal, Vol. 38 No. 3, pp. 635-672, doi: 10.5465/256741.
Ivancevich, J.M. (2006), Human Resource Management, 10th International ed., McGraw-Hill/Irwin, book, New York, NY, available at: http://images.china-pub.com/ebook195001-200000/198084/ch02.pdf?chinapub=eqf&website_id=437082&eu_id=005a6af7765edc0f6e07&ref=yqf
Jackson, S.E., Schuler, R.S. and Jiang, K. (2014), “An aspirational framework for strategic human resource management”, The Academy of Management Annals, Vol. 8 No. 1, pp. 1-56.
Jahmani, K., Fadiya, S.O., Abubakar, A.M. and Elrehail, H. (2018), “Knowledge management system content quality, perceived usefulness, use for sharing and retrieval: a flock leadership application”, VINE Journal of Information and Knowledge Management Systems, Vol. 48 No. 4, available at: https://doi.org/10.1108/VJIKMS-08-2017-0054
Jiang, K., Takeuchi, R. and Lepak, D.P. (2013), “Where do we go from here? New perspectives on the black box in strategic human resource management research”, Journal of Management Studies, Vol. 50 No. 8, pp. 1448-1480, available at: https://doi.org/10.1111/joms.12057
Jiang, K., Lepak, D.P., Han, K., Hong, Y., Kim, A. and Winkler, A.L. (2012), “Clarifying the construct of human resource systems: relating human resource management to employee performance”, Human Resource Management Review, Vol. 22 No. 2, pp. 73-85, available at: https://doi.org/10.1016/j.hrmr.2011.11.005
Karatepe, O.M. (2012), “Perceived organizational support, career satisfaction, and performance outcomes”, International Journal of Contemporary Hospitality Management, Vol. 24 No. 5, pp. 735-752, doi: 10.1108/09596111211237273.
Karatepe, O.M. and Olugbade, O.A. (2009), “The effects of job and personal resources on hotel employees’ work engagement”, International Journal of Hospitality Management, Vol. 28 No. 4, pp. 504-512, doi: 10.1016/j.ijhm.2009.02.003.
Katou, A.A. and Budhwar, P.S. (2006), “Human resource management systems and organizational performance: a test of a mediating model in the Greek manufacturing context”, The International Journal of Human Resource Management, Vol. 17 No. 7, pp. 1223-1253.
Khan, A. (2009), “Performance appraisal system: it’s effectiveness and impact on performance and job satisfaction of technical education and manpower training department’s faculty”, Qurtuba University of Science & Information Technology, DI Khan.
Klaus, T., LeRouge, C. and Blanton, J.E. (2003), “An examination of the relationships between select nature of work characteristics and organizational commitment of IT professionals”, ACM SIGMIS Computer Personel Research, ACM Press, New York, NY, p. 147, available at: https://doi.org/10.1145/761849.761875
Kline, R.B. (2011), Principles and Practice of Structural Equation Modeling, 3rd ed., p. 366.
Lai, F., Zhao, X. and Wang, Q. (2006), “The impact of information technology on the competitive advantage of logistics firms in China”, Industrial Management & Data Systems, Vol. 106 No. 9, pp. 1249-1271, doi: 10.1108/02635570610712564.
Lall, S. and Teubal, M. (1998), “‘Market-stimulating’ technology policies in developing countries: a framework with examples from East Asia”, World Development, Vol. 26 No. 8, pp. 1369-1385, doi: 10.1016/S0305-750X(98)00071-0.
Locke, E.A. (1969), “What is job satisfaction?”, Organizational Behavior and Human Performance, Vol. 4 No. 4, pp. 309-336, doi: 10.1016/0030-5073(69)90013-0.
MacDuffie, J.P. (1995), “Human resource bundles and manufacturing performance: organizational logic and flexible production systems in the world auto industry”, Industrial and Labor Relations Review, Vol. 48 No. 2, pp. 197-221, doi: 10.2307/2524483.
Macey, W.H. and Schneider, B. (2008), “The meaning of employee engagement”, Industrial and Organizational Psychology, Vol. 1 No. 1, pp. 3-30, doi: 10.1111/j.1754-9434.2007.0002.x.
Malik, O.R. and Kotabe, M. (2009), “Dynamic capabilities, government policies, and performance in firms from emerging economies: evidence from India and Pakistan”, Journal of Management Studies, Vol. 46 No. 3, pp. 421-450, doi: 10.1111/j.1467-6486.2008.00817.x.
Matic, J.L. (2008), “Cultural differences in employee work values and their implications for management”, Management, Vol. 13 No. 2, pp. 93-104, available at: http://hrcak.srce.hr/management?lang=en%0Ahttp://search.ebscohost.com/login.aspx?direct=true&db=eoh&AN=1026460&lang=de&site=eds-live
Matzler, K. and Renzl, B. (2007), “Assessing asymmetric effects in the formation of employee satisfaction”, Tourism Management, Vol. 28 No. 4, pp. 1093-1103, doi: 10.1016/j.tourman.2006.07.009.
Meyer, J.P. and Gagné, M. (2008), “Employee engagement from a self-determination theory perspective”, Industrial and Organizational Psychology, Vol. 1 No. 1, pp. 60-62, doi: 10.1111/j.1754-9434.2007.00010.x.
Milne, P. (2007), “Motivation, incentives and organisational culture”, Journal of Knowledge Management, Vol. 11 No. 6, pp. 28-38, doi: 10.1108/13673270710832145.
Mishra, K., Boynton, L. and Mishra, A. (2014), “Driving employee engagement: the expanded role of internal communications”, International Journal of Business Communication, Vol. 51 No. 2, pp. 183-202, doi: 10.1177/2329488414525399.
Morgeson, F.P. and Dierdorff, E.C. (2011), “Work analysis: from technique to theory”, APA Handbook of Industrial and Organizational Psychology, Vol. 2: Selecting and Developing Members for the Organization, Vol. 2, pp. 3-41, available at: http://psycnet.apa.orgbooks/12170/001
Nadiri, H. and Tanova, C. (2010), “An investigation of the role of justice in turnover intentions, job satisfaction, and organizational citizenship behavior in hospitality industry”, International Journal of Hospitality Management, Vol. 29 No. 1, pp. 33-41, doi: 10.1016/j.ijhm.2009.05.001.
Narasimha, S. (2008), “Organizational knowledge, human resource management, and sustained competitive advantage: toward a framework”, Competitiveness Review, Vol. 10 No. 1, pp. 123-135, doi: 10.1108/eb046392.
Nguyen, T.N., Truong, Q. and Buyens, D. (2010), “The relationship between training and firm performance : a literature review”, Research and Practice in Human Resource Management, Vol. 18, January, pp. 36-45.
Nunnally, J.C. (1978), Psychometric Theory, McGraw-Hill Series in Psychology, New York, NY.
O’Brien, R.M. (2007), “A caution regarding rules of thumb for variance inflation factors”, Quality and Quantity, Vol. 41 No. 5, pp. 673-690, doi: 10.1007/s11135-006-9018-6.
Okpara, J.O. (2004), “The impact of salary differential on managerial job satisfaction: a study of the gender gap and its implications for management education and practice in a developing economy”, The Journal of Business in Developing Nations, Vol. 8 No. 8, pp. 65-92.
Pan, F.C. (2015), “Practical application of importance-performance analysis in determining critical job satisfaction factors of a tourist hotel”, Tourism Management, Vol. 46, pp. 84-94, available at: https://doi.org/10.1016/j.tourman.2014.06.004
Parvin, M.M. and Karbin, M.M.N. (2011), “Factors affecting employee job satisfaction of pharmaceutical sector”, Journal of Business and Management Research, Vol. 1 No. 9, pp. 113-123.
Peters, T. (1992), Liberation Management Necessary Disorganization for the Nanosecond Nineties, Random House Audio, Random House Audio, New York, NY, doi: 10.1097/00005110-199311000-00004.
Pfeffer, J. (1994), “Competitive advantage through people”, California Management Review, Vol. 36 No. 2, pp. 9-28, doi: 10.2307/41165742.
Porter, C. and Spear, B. (2010), “Strategic human resource management”, Human Resource Management Review, Vol. 14, pp. 365-382.
Porter, M.E. (1980), “Competitive strategy: techniques for analyzing industries and competitors”, Competitive Strategy, Vol. 1 No. 6, pp. 396-410, doi: 10.1002/smj.4250020110.
Randstad Engagement Index (2012), “Randstad Engagement Index”.
Raykov, T. and Traynor, A. (2016), “Evaluation of multicomponent measuring instrument reliability in complex design studies”, Structural Equation Modeling: A Multidisciplinary Journal, Vol. 23 No. 2, pp. 270-277, doi: 10.1080/10705511.2014.938219.
Raykov, T., Lee, C.-L. and Marcoulides, G.A. (2016), “Examining normality in incomplete data sets: a note on a multiple testing approach”, Structural Equation Modeling: A Multidisciplinary Journal, Vol. 23 No. 4, pp. 595-600, doi: 10.1080/10705511.2014.938218.
Rose, R.C., Abdullah, H. and Ismad, A.I. (2010), “A review on the relationship between organizational resources, competitive advantage and performance”, The Journal of International Social Research, Vol. 3, pp. 1-11, available at: https://doi.org/10.3923/ibm.2012.286.293
Rucker, D.D., Preacher, K.J., Tormala, Z.L. and Petty, R.E. (2011), “Mediation analysis in social psychology: current practices and new recommendations”, Social and Personality Psychology Compass, Vol. 5 No. 6, pp. 359-371, available at: https://doi.org/10.1111/j.1751-9004.2011.00355.x
Sánchez, A.A., Marín, G.S. and Morales, A.M. (2015), “The mediating effect of strategic human resource practices on knowledge management and firm performance”, Revista Europea de Direccion y Economia de la Empresa, Vol. 24 No. 3, pp. 138-148, doi: 10.1016/j.redee.2015.03.003.
Saunders, M., Lewis, P. and Thornhill, A. (2012), Research Methods for Business Students, Pearson Education India, New Delhi.
Schuler, R.S. and MacMillan, I.C. (1984), “Gaining competitive advantage through human resource management practices”, Human Resource Management, Vol. 23 No. 3, pp. 241-255, doi: 10.1002/hrm.3930230304.
Serafini, G.O. and Szamosi, L.T. (2015), “Five star hotels of a multinational enterprise in countries of the transitional periphery: a case study in human resources management”, International Business Review, Vol. 24 No. 6, pp. 972-983.
Shaw, J.D., Park, T.Y. and Kim, E. (2013), “A resource-based perspective on human capital losses, HRM investments, and organizational performance”, Strategic Management Journal, Vol. 34 No. 5, pp. 572-589, doi: 10.1002/smj.2025.
Sikora, D.M., Thompson, K.W., Russell, Z.A. and Ferris, G.R. (2016), “Reimagining overqualified human resources to promote organizational effectiveness and competitive advantage”, Journal of Organizational Effectiveness: People and Performance, Vol. 3 No. 1, pp. 23-42, available at: https://doi.org/10.1108/JOEPP-03-2015-0012
Solnet, D. and Hood, A. (2008), “Generation Y as hospitality employees: framing a research agenda”, Journal of Hospitality and Tourism Management, Vol. 15 No. 1, pp. 59-68, doi: 10.1375/jhtm.15.59.
Sparrow, P., Schuler, R.S. and Jackson, S.E. (1994), “Convergence or divergence: human resource practices and policies for competitive advantage worldwide”, The International Journal of Human Resource Management, Vol. 5 No. 2, pp. 267-299, doi: 10.1080/09585199400000019.
Taamneh, A., Alsaad, A.K. and Elrehail, H. (2018), “HRM practices and the multifaceted nature of organization performance”, EuroMed Journal of Business, Vol. 13 No. 3, pp. 315-334, doi: 10.1108/EMJB-02-2018-0010.
Takeuchi, N., Wakabayashi, M. and Chen, Z. (2003), “The strategic HRM configuration for competitive advantage: evidence from Japanese firms in China and Taiwan”, Asia Pacific Journal of Management, Vol. 20 No. 4, pp. 447-480, doi: 10.1023/A:1026386925473.
Taylor, F.W. (1911), The Principles of Scientific Management, New York, NY, p. 202.
Teagarden, M.B., Butler, M.C. and Von Glinow, M.A. (1992), “Mexico’s maquiladora industry: where strategic human resource management makes a difference”, Organizational Dynamics, Vol. 20 No. 3, pp. 34-47, doi: 10.1016/0090-2616(92)90023-G.
Ting, Y. (1997), “Determinants of job satisfaction of federal government employees”, Personnel Administration, Vol. 26 No. 3, pp. 313-334, doi: 10.1177/009102609702600302.
Truss, C., Mankin, D. and Kelliher, C. (2010), “Strategic human resource management”, Human Resource Management, Vol. 14, pp. 365-382, available at: https://doi.org/10.1177/097135570401400104
Tzafrir, S.S. (2006), “A universalistic perspective for explaining the relationship between HRM practices and firm performance at different points in time”, Journal of Managerial Psychology, Vol. 21 No. 2, pp. 109-130, doi: 10.1108/02683940610650730.
Ukil, M.I. (2016), “The impact of employee empowerment on employee satisfaction and service quality: empirical evidence from financial enterprizes in Bangladesh”, Verslas: Teorija Ir Praktika, Vol. 17 No. 2, pp. 178-189, doi: 10.3846/btp.2016.651.
Uysal, G. (2013), “SHRM: progress and return”, China USA Business Review, Vol. 12 No. 11, pp. 1096-1104, available at: http://ssrn.com/abstract=2564017 (accessed June 7, 2017).
van Vianen, A.E.M., De Pater, I.E. and Van Dijk, F. (2007), “Work value fit and turnover intention: same-source or different-source fit”, Journal of Managerial Psychology, Vol. 22 No. 2, pp. 188-202, doi: 10.1108/02683940710726438.
Walk, T. (2012), “Employee engagement: tools for analysis, practice, and competitive advantage”, in Macey, W.H., Schneider, B., Barbera, K.M. and Young, S.A. (Eds), Personnel Psychology, Vol. 65 pp. 207-210, available at: https://doi.org/10.1111/j.1744-6570.2011.01242_3.x
Wang, Z. and Zang, Z. (2005), “Strategic human resources, innovation and entrepreneurship fit: a cross-regional comparative model”, International Journal of Manpower, Vol. 26 No. 6, pp. 544-559, doi: 10.1108/01437720510625458.
Wayne, S.J. and Kacmar, K.M. (1991), “The effects of impression management on the performance appraisal process”, Organizational Behavior and Human Decision Processes, Vol. 48 No. 1, pp. 70-88, doi: 10.1016/0749-5978(91)90006-F.
Wright, P.M., McMahan, G.C. and McWilliams, A. (1994), “Human resources and sustained competitive advantage: a resource-based perspective”, The International Journal of Human Resource Management, Vol. 5 No. 2, pp. 301-326, doi: 10.1080/09585199400000020.
Wright, P.M., Gardner, T.M., Moynihan, L.M. and Allen, M.R. (2005), “The relationship between HR practices and firm performance: examining causal order”, Personnel Psychology, Vol. 58 No. 2, pp. 409-446, available at: https://doi.org/10.1111/j.1744-6570.2005.00487.x
Xu, J. and Cooper Thomas, H. (2011), “How can leaders achieve high employee engagement?”, Leadership & Organization Development Journal, Vol. 32 No. 4, pp. 399-416, doi: 10.1108/01437731111134661.
Yeganeh, H. and Su, Z. (2008), “An examination of human resource management practices in Iranian public sector”, Personnel Review, Vol. 37 No. 2, pp. 203-221, doi: 10.1108/00483480810850542.
Yeh, C.M. (2013), “Tourism involvement, work engagement and job satisfaction among frontline hotel employees”, Annals of Tourism Research, Vol. 42, pp. 214-239, available at: https://doi.org/10.1016/j.annals.2013.02.002
Young-Thelin, L. and Boluk, K. (2012), “A case study of human resource practices in small hotels in Sweden”, Journal of Human Resources in Hospitality & Tourism, Vol. 11 No. 4, pp. 327-353, doi: 10.1080/15332845.2012.690683.
Zheng, C., Morrison, M. and O’Neill, G. (2006), “An empirical study of high performance HRM practices in Chinese SMEs”, International Journal of Human Resource Management, Vol. 17 No. 10, pp. 1772-1803, doi: 10.1080/09585190600965282.
Zopiatis, A., Constanti, P. and Theocharous, A.L. (2014), “Job involvement, commitment, satisfaction and turnover: evidence from hotel employees in Cyprus”, Tourism Management, Vol. 41, pp. 129-140, available at: https://doi.org/10.1016/j.tourman.2013.09.013
About the authors
Dr Hamzah Elrehail is Assistant Professor at the Skyline University College, Business Management Department. His research focuses in leadership, innovation management, knowledge management and HRM/GHRM. Elrehail published several papers in ISI journal like Computer in Human Behavior, The Journal of Business Excellence, Journal of Innovation & Knowledge and Telematics and Informatics.
Dr Ibrahim Harazneh is Assistant Professor at Middle East University in Jordan, Tourism Management Department. His research spans HRM in tourism sector, CRM, competitive advantage in hotels. Hazrazneh published papers in high reputed journal like Tourism Management Perspective.
Dr Mohammad Abuhjeeleh is Assistant Professor at Middle East University in Jordan, Tourism Management Department.
Dr Amro Alzghoul recently finished his PhD Degree in Business Management from Girne American University, North Cyprus. His research focuses on leadership, business development and employees creativity.
Dr Sakher Alnajdawi is currently working as Assistant Professor of HRM at Amman Arab University, Jordan; his research spans HRM and OB and Green HRM practices.
Dr Hussein M. Hussein Ibrahim is PhD in Tourism and Hospitality Management and Assistance Professor at School of Archeology and Tourism, the University of Jordan; his research spans HRM, tourism, hospitality and marketing.