Search results

While today's customer steadily adapts to various modes of shopping, their beliefs around fluency through each shopping channel, and personal factors such as income level, can impact their intention to patronage or purchase from omnichannel department stores. Hence, this study analysed the customers of omnichannel fashion department stores, using perceived fluency and income as indirect factors that help understand customers' patronage intention and purchase intention.

The overarching framework for this research is the theory of reasoned action, in which patronage and purchase intentions represent the specific likelihood-of-performance behaviours. A Seemingly Unrelated Regression model was empirically used to analyse the relationships between generational cohorts, income, and perceived channel fluency and the behaviours that lead to patronage intention and purchase intention. Researchers conducted a survey among 552 omnichannel fashion department store consumers to examine today's retail environment.

The results of this study suggest that (1) consumers between the ages of 50 and 69 years, including older Generation X and younger Baby Boomers, who earn between $60,000 and $79,999 in annual salary show a significantly positive relationship with both patronage and purchase intentions through perceived fluency and (2) consumers between the ages of 38 and 49 years, including older Millennials and younger Generation X, who earn between $80,000 and $99,999 in annual salary show a significantly positive relationship with purchase intention through perceived fluency

This study analyses correlations between a generational cohort, perceived fluency as moderated by income and the relationship between these variables and customers' patronage and purchase intentions, which has not been studied before.

The COVID-19 pandemic has generated unprecedented public fear, impeding both individuals’ social life and the travel industry as a whole. China was one of the first major countries to experience the COVID-19 outbreaks and recovery from the pandemic. The demand for outings is increasing in the post-COVID-19 world, leading to the recovery of the ride-sharing industry. Integrating protection motivation theory and the theory of reasoned action, this study aims to investigate ride-sharing customers’ self-protection motivation to provide anti-pandemic measures and promote the resilience of ride-sharing industry.

This study followed a two-phase mixed-methods design. In the first phase, the authors executed a qualitative study with 30 interviews. In the second phase, the authors used the results of the interviews to inform the design of a survey, with which 272 responses were collected. Both studies were conducted in China.

The present results indicate that customers’ perceived vulnerability of COVID-19 and perceived COVID protection efficacy (self-efficacy and response efficacy) are positively correlated with their attitude toward self-protection, thus leading to their self-protection motivation during the rides. Moreover, subjective norms and customers’ distrust appear to also impact their self-protection motivation during the ride-sharing service.

The present research provides one of the first in-depth studies, to the best of the authors’ knowledge, on customers’ protection motivation in ride-sharing services in the new normal. The empirical evidence provides important insights for ride-sharing service providers and managers in the post-pandemic world and promote the resilience of ride-sharing industry.

In order to improve the computation efficiency of the four-point rainflow algorithm, a new fast four-point rainflow cycle counting algorithm (FFRA) using a novel loop iteration mode is proposed.

In this new algorithm, the loop iteration mode is simplified by reducing the number of iterations, tests and deletions. The high efficiency of the new algorithm makes it a preferable candidate in fatigue life online estimation of structural health monitoring systems.

The extensive simulation results show that the extracted cycles by the new FFRA are the same as those by the four-point rainflow cycle counting algorithm (FRA) and the three-point rainflow cycle counting algorithm (TRA). Especially, the simulation results indicate that the computation efficiency of the FFRA has improved an average of 12.4 times compared to the FRA and an average of 8.9 times compared to the TRA. Moreover, the equivalence of cycle extraction results between the FFRA and the FRA is proved mathematically by utilizing some fundamental properties of the rainflow algorithm. Theoretical proof of the efficiency improvement of the FFRA in comparison to the FRA is also given.

This merit makes the FFRA preferable in online monitoring systems of structures where fatigue life estimation needs to be accomplished online based on massive measured data. It is noticeable that the high efficiency of the FFRA attributed to the simple loop iteration, which provides beneficial guidance to improve the efficiency of existing algorithms.

This study aims to determine the impact of attitude toward content creators, subjective norm and perceived content quality in affecting people’s intention and behavior to watch videos posted on YouTube in Indonesia.

Using questionnaire, data from the total of 112 individuals living in Indonesia were gathered in this study, and these respondents are individuals who have been watching YouTube contents at least 3 h a day for the past eight months. Moreover, all of these data were processed and analyzed using PLS method to determine the impact given by one variable toward the other.

Based on the results of the analysis, the authors concluded that both factors, namely, content credibility and perceived content quality, play significant and positive roles in determining people’s intention to watch – and ultimately behavior to watch – contents or videos published on YouTube, with the former turned out to be the stronger predictor.

The current study attempts to modify and merge both the concept of theory of reasoned action and product quality theory to explain Indonesians’ behavior toward watching contents published on YouTube, and to the best of the authors’ knowledge, this type of studies is still in rarity.

Based on the theory of reasoned action, this study aims to illustrate how employees’ safety behavior can be enhanced in the workplace by specifically examining how anticipated regret leads to workplace safety behavior and the contextual factor of organizational ethical climate.

The authors adopted a quantitative approach and designed their survey from validated scales in prior studies. Data were obtained from two different sources, including 149 employees and 31 immediate supervisors. Hierarchical linear modeling techniques were applied to test the hypotheses.

The results showed that anticipated regret was significantly related to safety compliance and safety participation; egoistic ethical climate was negatively correlated with safety compliance and safety participation, while benevolent ethical climate was only positively correlated with safety participation. For cross-level moderating effects, both benevolent and principle ethical climate moderate the relationship between anticipated regret and safety participation, whereas all three ethical climates did not moderate the relationship between anticipated regret and safety compliance.

It contributes to current literature by identifying critical determinants of employees’ safety behavior, which would enable practitioners to manage safety in the workplace and foster a safe working environment. Specifically, fostering benevolent ethical climate can better promote employees’ perceptions of the importance of discretionary safety behavior.

This study suggests that organizational practitioners could use the salience of anticipated regret to promote the safety behavioral intentions of employees in the workplace. Further, the authors examined a multilevel framework, which elaborates individual- and organizational-level antecedents of employee safety behavior as well as the impact of cross-level interactions on employee safety behavior.

This study aimed to examine the direct impact of work–life balance on employee retention and turnover intentions among doctors in Pakistan. Further, it also aimed to test the mediating role of job satisfaction on these relationships.

This study's data were collected from 394 doctors working in public hospitals in Pakistan, using survey-based questionnaires and stratified random sampling technique. For data analysis, structural equation modelling was utilised to investigate the direct and indirect associations among the variables, while Statistical Software for the Social Sciences (SPSS) was used for data management.

Work–life balance was found to have a positive association with employee retention and a negative association with turnover intention. Results suggest that a fair work–life balance is a significant predictor of employee retention and turnover intention. Also, job satisfaction significantly mediated the relationship between work–life balance and employee retention and between work–life balance and turnover intention.

This study's focus was limited to doctors working in public hospitals. Thus, future research can extend the scope to other segments such as nurses, paramedics and pharmacists from both public and private organisations.

Human resource (HR) executives can improve employee retention and turnover intentions through strategic implementation of work–life balance practices. Policymakers should stress upon hospitals to implement favourable working hours that are satisfactory to employees to reduce turnover intention.

In the healthcare industry, suitable work–life balance strategies will help improve employees' lifestyle, which will positively impact their family and social relationships.

This study is expected to contribute to the existing healthcare literature in the context of Pakistan by explaining the process by which work–life balance affects employee retention and turnover intention. Specifically, job satisfaction is the mechanism that explains these relationships.

The purpose of this study is to review the role of knowledge-sharing and its association with the Theory of Planned Behavior (TPB). TPB is the most used theory in understanding knowledge-sharing behavior in many contexts.

Based on the bibliometric approach, this study extracted and analyzed 229 journal articles on the Web of Science. In addition, two analyses (bibliographic coupling and co-word) were performed to provide science mapping in presenting the knowledge structure on the present and future research direction on knowledge-sharing and TPB.

The findings of this study suggest that two stand-out clusters are determinants and antecedents of knowledge-sharing behavior based on TPB and the role of the virtual platform and social media in facilitating knowledge-sharing among users.

This study will benefit researchers and scholars in studying individual behavioral traits underpinning TPB in achieving organizational excellence.

This study extends the findings of the previous review because of their limitations on methods. This study confirms the determinants of knowledge-sharing intention and behavior. However, this study suggests integrating TPB with other theories to provide more insights into knowledge-sharing behavior and use online and technology-based platforms to facilitate knowledge-sharing behavior.

This study aims to assess both internal and external factors that impact consumer attitudes and intentions with regard to the purchase of non-deceptive counterfeits. More specifically, this study examines the impact of integrity, brand consciousness, performance risk and social risk on the attitude and in turn on the purchase intention of consumers towards non-deceptive counterfeits.

A total of 679 valid responses from the university students in two different Gulf countries, namely, Oman (264) and Qatar (415) were gathered through a self-administered structured questionnaire and analysed through partial least square‐structural equation modeling.

All the predictors of consumer attitude appeared significant in both country samples except integrity. However, brand consciousness appeared insignificant in the sample of Oman. In addition, Purchase intention towards the non-deceptive counterfeits was significantly predicted by attitude and subjective norm in both samples.

In the domain of non-deceptive counterfeit literature, the findings of the study will substantially add value. Particularly, in the Gulf country context, the impact of internal psychological and external risk factors on the attitude and purchase intention of non-deceptive counterfeits will enhance the insights of existing literature and extend and proof the robustness of the theory of reasoned action.

Despite the plethora of research into country-of-origin (COO) effects, research that investigates the cognitive structures behind elite consumers' preferences for foreign brands remains limited. Hence, this study aims to investigate the cognitive structures behind foreign brand preference among professional elites in Sri Lanka.

Using the means-end chain (MEC) theory as the theoretical lens and building on the findings of 30 laddering interviews (semi-structured), a survey was conducted among 311 professional elites to uncover the key elements of the cognitive structures behind foreign brand preference.

The findings revealed that the cognitive structures behind foreign brand preference are influenced by a bundle of brand attributes, brand consequences and personal values of elites', which significantly influence their attitudes towards foreign brands. Multi-group analysis further revealed that the relationship between brand attributes and attitudes significantly differs across Chinese and US COOs where the path coefficient is stronger for elites' preference for Chinese brands.

This study is the first of its kind to explore the COO effects on consumer cognitive structures. The findings contribute to MEC theory and shed light on the understanding towards elites' preference for foreign brands.

This study analyzed the relationship between mobile financial services (MFS) usage and customer satisfaction with MFS in Bangladesh, considering perception, purpose of use and technical challenges as the primary factors influencing customer satisfaction with MFS. The aim is to determine the factors most influencing the use of MFS.

Data were collected from 400 MFS users through a structured web survey using snowball sampling that is consistent with the nature of MFS users who are difficult to identify or locate. Structural equation modeling (SEM) was used to analyze the data and evaluate the reliability and validity of the measurement model.

The results show that customers’ perceptions and satisfaction significantly impact their intention to use MFS. Specifically, customers’ perceptions strongly influence their satisfaction with MFS, and the purpose of use significantly predicts both perception and satisfaction. Technical problems and challenges were found to have no significant impact on satisfaction levels, but other factors were more critical. Furthermore, the integration of innovative technological solutions is crucial for fostering sustainability in MFS, as it enhances reliability and efficiency while minimizing environmental footprints.

The study was conducted in a single country, relied on self-reported data, and used a cross-sectional design, which limits the ability to draw causal inferences. Future research could explore the factors that influence customer satisfaction with MFS in different countries and regions and incorporate additional variables to provide a more comprehensive understanding of the drivers of customer satisfaction with MFS.

This study significantly contributes by extending the technology acceptance model (TAM) framework with the innovation resistance theory, offering a nuanced understanding of MFS adoption. The findings challenge conventional wisdom, highlighting the limited impact of technical problems on satisfaction and emphasizing the central role of user perceptions in shaping satisfaction and intention to use.