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1 – 10 of over 193000Siti Hajar Hussein, Suhal Kusairi and Fathilah Ismail
This study aims to develop an educational tourism demand model, particularly in respect to dynamic effects, university quality (QU) and competitor countries. Educational tourism…
Abstract
Purpose
This study aims to develop an educational tourism demand model, particularly in respect to dynamic effects, university quality (QU) and competitor countries. Educational tourism has been identified as a new tourism sub-sector with high potential, and is thus expected to boost economic growth and sustainability.
Design/methodology/approach
This study reviews the literature on the determinants of educational tourism demand. Even though the existing literature is intensively discussed, mostly focusing on the educational tourism demand from an individual consumer's perspective, this study makes an innovation in line with the aggregate demand view. The study uses data that consist of the enrolment of international students from 47 home countries who studied in Malaysia from 2008 to 2017. The study utilised the dynamic panel method of analysis.
Findings
This study affirms that income per capita, educational tourism price, price of competitor countries and quality of universities based on accredited programmes and world university ranking are the determinants of educational tourism demand in both the short and the long term. Also, a dynamic effect exists in educational tourism demand.
Research limitations/implications
The results imply that government should take the quality of services for existing students, price decisions and QU into account to promote the country as a tertiary education hub and achieve sustainable development.
Originality/value
Research on the determinants of the demand for educational tourism is rare in terms of macro data, and this study includes the roles of QU, competitor countries and dynamic effects.
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The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry…
Abstract
The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.
This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.
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Doris Chenguang Wu, Haiyan Song and Shujie Shen
The purpose of this paper is to review recent studies published from 2007 to 2015 on tourism and hotel demand modeling and forecasting with a view to identifying the emerging…
Abstract
Purpose
The purpose of this paper is to review recent studies published from 2007 to 2015 on tourism and hotel demand modeling and forecasting with a view to identifying the emerging topics and methods studied and to pointing future research directions in the field.
Design/methodology/approach
Articles on tourism and hotel demand modeling and forecasting published mostly in both science citation index and social sciences citation index journals were identified and analyzed.
Findings
This review finds that the studies focused on hotel demand are relatively less than those on tourism demand. It is also observed that more and more studies have moved away from the aggregate tourism demand analysis, whereas disaggregate markets and niche products have attracted increasing attention. Some studies have gone beyond neoclassical economic theory to seek additional explanations of the dynamics of tourism and hotel demand, such as environmental factors, tourist online behavior and consumer confidence indicators, among others. More sophisticated techniques such as nonlinear smooth transition regression, mixed-frequency modeling technique and nonparametric singular spectrum analysis have also been introduced to this research area.
Research limitations/implications
The main limitation of this review is that the articles included in this study only cover the English literature. Future review of this kind should also include articles published in other languages. The review provides a useful guide for researchers who are interested in future research on tourism and hotel demand modeling and forecasting.
Practical implications
This review provides important suggestions and recommendations for improving the efficiency of tourism and hospitality management practices.
Originality/value
The value of this review is that it identifies the current trends in tourism and hotel demand modeling and forecasting research and points out future research directions.
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Mrs. Agueda Esteban Talaya and Mrs. Eva Reinares Lara
This paper analyzes the evolution of research undertaken in the last 35 years on tourist demand in Spain. The research considered has been classified into three fields with their…
Abstract
This paper analyzes the evolution of research undertaken in the last 35 years on tourist demand in Spain. The research considered has been classified into three fields with their own specific touristic characteristics; research projects that have been oriented toward the study of demand as a whole, those that study the origin of demand in specific zones and destinations and thirdly, those that address the demand of concrete tourist products and services. Forecast studies on tourist demand which are included in some of the above will also be included in this paper. The revision of these studies will take three basic factors into account: the area and the objectives of the project, the method used and the application and practical utility of the study.
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The purpose of this paper is to examine the mediating role of organizational commitment in the relationship between job demands and job search behavior. The study also explores…
Abstract
Purpose
The purpose of this paper is to examine the mediating role of organizational commitment in the relationship between job demands and job search behavior. The study also explores the moderating role of worker cooperatives in the relationship between job demands and organizational commitment. There is little extant research on the relationships of job demands with employee behaviors, and the roles of worker cooperatives in those relationships.
Design/methodology/approach
Using the multi-level moderated mediation model, this study analyzed surveys conducted in capitalist firms and worker cooperatives in the metropolitan area of Seoul in 2016.
Findings
This study provided evidence that organizational commitment mediated the relationship between job demands and job search behavior in the total sample. The findings revealed that worker cooperatives moderated the relationship between job demands and organizational commitment. In other words, while the negative relationship between job demands and organizational commitment was significant in capitalist firms, it was not maintained in worker cooperatives.
Research limitations/implications
This study provides implications on how job demands are related to job search behavior, and how worker cooperatives may alleviate the adverse effects of job demands on employee attitudes and behaviors. A potential limitation of the present study is that individual-level variables were measured by self-reports.
Originality/value
While previous studies on the JDR model have examined the interaction between job demands and individual levels of resources, the current study investigated the interaction between job demands and organizational levels of resources.
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The goal of the paper is twofold. First, it aims to empirically conceptualize whether a wide array of fragmented demand planning activities, performed in supply chains, can be…
Abstract
Purpose
The goal of the paper is twofold. First, it aims to empirically conceptualize whether a wide array of fragmented demand planning activities, performed in supply chains, can be logically categorized into actionable sets of practices, which then form a broader conceptualization of the demand planning process. Second, regarding certain contextual factors, our research seeks to investigate the contribution of demand planning, as a higher-order construct, to mitigating disruptions induced by operational risks in supply chains.
Design/methodology/approach
In this study, PLS-SEM was used to estimate the reflective-formative nature of the model. The results of PLS-SEM were additionally complemented by the assessment of the predictive power of our model. Finally, to reveal possible contingency effects, the multigroup analysis (MGA) was conducted.
Findings
The study suggests that demand planning process (DPP) is a second-order construct that is composed of four sets of practices, including goal setting, data gathering, demand forecasting, communicating the demand predictions and synchronizing supply with demand. The study also reveals that the demand planning practices, only when considered together, as a higher-order factor, significantly contribute to mitigating disruptions driven by operational risks. Finally, the research shows that the strength of the impact of demand planning on disruptions is contextually dependent.
Research limitations/implications
While the study makes some important contributions, the obtained findings ought to be considered within the context of limitations. First, the study only investigates disruptions driven by operational risks, ignoring the negative consequences of environmental risks (terrorist attacks, natural disasters, etc.), which may have a far more negative impact on supply chains. Second, the sample is mostly composed of medium and large companies, not necessarily representative of demand planning performed by the entire spectrum of companies operating in the market.
Practical implications
The study shows that to effectively mitigate disruptions induced by operational risks, the demand planning practices should be integrated into a higher-order construct. Likewise, our research demonstrates that the intensity of demand planning process is contingent upon a number of contextual factors, including firm size, demand variability and demand volume.
Social implications
The study indicates that to mitigate disruptions of operational risk, demand planning as a higher-order dynamic capability can be referred to the concept of organizational learning, which contributes to forming a critical common ground, ensuring the balance between formal and informal dynamic routines.
Originality/value
The paper depicts that to fully deal with disruptions, the demand planning practices need to be integrated and categorized into the dedicated higher-order. This may lead to forming demand planning as a higher-order dynamic capability that provides a more rapid and efficient rebuttal to any disruptions triggered by operational risks.
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Liangjun Zhou and James J. Zhang
The purpose of this paper is to examine the market demand of sport lottery in China from the following perspectives: available types and varieties of sport lottery, number of…
Abstract
Purpose
The purpose of this paper is to examine the market demand of sport lottery in China from the following perspectives: available types and varieties of sport lottery, number of retail outlets, public welfare funds, promotion costs, per capita income, and population.
Design/methodology/approach
As the earliest province of issuing the sales of sport lottery and having one of the largest sales volumes in China, Guangdong Province was chosen for conducting the current study. Data were obtained from 14 sport lottery administration and distribution centers and statistics bureaus of 14 corresponding municipal cities. Multiple regression analysis was used.
Findings
Multiple regression analyses revealed that number of retail outlets, promotion cost, per capita income, and public welfare funds were positively (p<0.05) predictive of sport lottery sales; however, available types and varieties of sport lottery were not found to be significantly (p>0.05) related to total sport lottery sales. The findings are discussed in the context of theories and practices in the marketing and administration of sport lottery sales in China.
Research limitations/implications
Similar studies are suggested to be conducted in provinces and regions beyond Guangdong Province.
Originality/value
This study combined socioeconomic characteristics of the population, lottery game characteristics and management factors for the first time.
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Robbert-Jan van der Burg, Kees Ahaus, Hans Wortmann and George B. Huitema
Technological developments and new customer expectations of immediacy have driven businesses to adopt on-demand service models. The purpose of this paper is to study the…
Abstract
Purpose
Technological developments and new customer expectations of immediacy have driven businesses to adopt on-demand service models. The purpose of this paper is to study the characteristics of a range of on-demand services in order to better understand the meaning of “on-demand” and its implications for service management. This enables the on-demand service logic to be applied to other service contexts, where it may add value for customers.
Design/methodology/approach
The study starts with a focused literature review and continues with a multiple case study methodology, as the on-demand service concept is in the early stages of theory development. Seven cases were studied, based on a maximum variation sampling strategy.
Findings
The results show that on-demand services are characterized by three interrelated characteristics: being highly available, responsive and scalable. Analysis further reveals that on-demand services display differences within the conceptual boundaries of these characteristics, i.e. they vary in terms of their availability, responsiveness and scalability.
Originality/value
Drawing on these findings, the study contributes to the service literature by being the first to specifically conceptualize and define the on-demand services concept and reveal three key characteristics that clarify the distinctive nature of this service type. Accordingly, on-demand services are clearly differentiated from other services. Additionally, the paper discusses the variety within on-demand services and develops an on-demand service continuum that gives detailed insights into the conceptual variations within such services.
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Iman Ghalehkhondabi, Ehsan Ardjmand, William A. Young and Gary R. Weckman
The purpose of this paper is to review the current literature in the field of tourism demand forecasting.
Abstract
Purpose
The purpose of this paper is to review the current literature in the field of tourism demand forecasting.
Design/methodology/approach
Published papers in the high quality journals are studied and categorized based their used forecasting method.
Findings
There is no forecasting method which can develop the best forecasts for all of the problems. Combined forecasting methods are providing better forecasts in comparison to the traditional forecasting methods.
Originality/value
This paper reviews the available literature from 2007 to 2017. There is not such a review available in the literature.
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The subject of part‐time work is one which has become increasingly important in industrialised economies where it accounts for a substantial and growing proportion of total…
Abstract
The subject of part‐time work is one which has become increasingly important in industrialised economies where it accounts for a substantial and growing proportion of total employment. It is estimated that in 1970, average annual hours worked per employee amounted to only 60% of those for 1870. Two major factors are attributed to explaining the underlying trend towards a reduction in working time: (a) the increase in the number of voluntary part‐time employees and (b) the decrease in average annual number of days worked per employee (Kok and de Neubourg, 1986). The authors noted that the growth rate of part‐time employment in many countries was greater than the corresponding rate of growth in full‐time employment.