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1 – 10 of 154Md Asadul Islam, Dieu Hack-Polay, Mahfuzur Rahman, Mosharrof Hosen, Abigail Hunt and Sujana Shafique
This study examines the relationship between HR practices and millennial employee retention in the tourism industry in Bangladesh. It investigates the moderating role of the work…
Abstract
Purpose
This study examines the relationship between HR practices and millennial employee retention in the tourism industry in Bangladesh. It investigates the moderating role of the work environment in the relationship between HR practices and employee retention in the industry.
Design/methodology/approach
The researchers used non-probability judgemental sampling to collect 384 questionnaires through a survey of millennial employees. Partial least square-based structural equation model (PLS-SEM) was used to analyse the data.
Findings
The results reveal that HR practices included in this paper have significant relationships with millennial employee retention in the tourism industry in Bangladesh, except employee participation in decision-making. In addition, the results show that the work environment only moderates the relationship between two HR practices (compensation, training and development) and millennial employee retention.
Practical implications
The results suggest that managers in tourism organisations must develop HR practices and foster a positive work environment to retain millennials.
Originality/value
This is the only study that examines the moderating role of the work environment on the relationship between five selected HR practices (training and development, job security, performance appraisal, employee participation, compensation) and millennial employee retention. Previous studies used fewer HR variables.
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Weihua Wang, Dong Yang and Yaqin Zheng
The purpose of this study is to understand the psychological mechanism that affects consumer trust by focusing on the formation and influence process of psychological contracts…
Abstract
Purpose
The purpose of this study is to understand the psychological mechanism that affects consumer trust by focusing on the formation and influence process of psychological contracts, and taking this opportunity, explore the influence paths of food quality, food safety and service quality on consumer trust in the online food market, and provide theoretical suggestions for building trust in food businesses' consumers.
Design/methodology/approach
This study is based on an empirical investigation and uses partial least square structural equation modeling for analysis. Survey data were collected online from 359 APP users of online food transaction platforms in China.
Findings
Food quality, food safety and service quality influence consumer trust through the mediating effects of relational and transactional psychological contracts. However, the differences between these influencing paths are obvious and shift with changes in the marketing channels.
Practical implications
This study contributes to the body of consumer trust research by exploring online food transactions as an emerging trend in China. Some optimization strategies for food quality, food safety and service quality are provided for enterprises involved in online food transactions.
Originality/value
This is a pioneering study revealing psychological contracts as a missing but significant mediator between consumer trust and its antecedents.
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Rob Law, Katsy Jiaxin Lin, Huiyue Ye and Davis Ka Chio Fong
The purpose of this study is to analyze state-of-the-art knowledge of artificial intelligence (AI) research in hospitality.
Abstract
Purpose
The purpose of this study is to analyze state-of-the-art knowledge of artificial intelligence (AI) research in hospitality.
Design/methodology/approach
This study adopts the theory-context-methods framework to systematically review 100 AI-related articles recently published (i.e. from 2021 to April 2023) in three top-tier hospitality journals, namely, the International Journal of Contemporary Hospitality Management, International Journal of Hospitality Management and Journal of Hospitality Marketing and Management.
Findings
Findings suggest that studies of AI applications in hospitality are mostly theory-driven, whereas most AI methods research adopts a data-driven approach. State-of-the-art AI applications research exhibits the most interest in service robots. In AI methods research, little attention was paid to the amid-service/experience.
Research limitations/implications
This study reveals inadequacies in theory, context and methods in contemporary AI research. More research from hospitality suppliers’ perspectives and research on generative AI applications are advocated in response to the unveiled research gaps and recent AI developments.
Originality/value
This study classifies the most recent AI research in hospitality into two main streams – AI applications research and AI methods research – and discusses the gaps in each research stream and latest AI developments. The paper then suggests future research directions to guide researchers in advancing AI research in hospitality.
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Laila Dahabiyeh, Ali Farooq, Farhan Ahmad and Yousra Javed
During the past few years, social media has faced the challenge of maintaining its user base. Reports show that the social media giants such as Facebook and Twitter experienced a…
Abstract
Purpose
During the past few years, social media has faced the challenge of maintaining its user base. Reports show that the social media giants such as Facebook and Twitter experienced a decline in their users. Taking WhatsApp's recent change of its terms of use as the case of this study and using the push-pull-mooring model and a configurational perspective, this study aims to identify pathways for switching intentions.
Design/methodology/approach
Data were collected from 624 WhatsApp users recruited from Amazon Mechanical Turk and analyzed using fuzzy set qualitative comparative analysis (fsQCA).
Findings
The findings identify seven configurations for high switching intentions and four configurations for low intentions to switch. Firm reputation and critical mass increase intention to switch, while low firm reputation and absence of attractive alternatives hinder switching.
Research limitations/implications
This study extends extant literature on social media migration by identifying configurations that result in high and low switching intention among messaging applications.
Practical implications
The study identifies factors the technology service providers should consider to attract new users and retain existing users.
Originality/value
This study complements the extant literature on switching intention that explains the phenomenon based on a net-effect approach by offering an alternative view that focuses on the existence of multiple pathways to social media switching. It further advances the authors’ understanding of the relevant importance of switching factors.
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Raúl Katz, Juan Jung and Matan Goldman
This paper aims to study the economic effects of Cloud Computing for a sample of Israeli firms. The authors propose a framework that considers how this technology affects firm…
Abstract
Purpose
This paper aims to study the economic effects of Cloud Computing for a sample of Israeli firms. The authors propose a framework that considers how this technology affects firm performance also introducing the indirect economic effects that take place through cloud-complementary technologies such as Big Data and Machine Learning.
Design/methodology/approach
The model is estimated through structural equation modeling. The data set consists of the microdata of the survey of information and communication technologies uses and cyber protection in business conducted in Israel by the Central Bureau of Statistics.
Findings
The results point to Cloud Computing as a crucial technology to increase firm performance, presenting significant direct and indirect effects as the use of complementary technologies maximizes its impact. Firms that enjoy most direct economic gains from Cloud Computing appear to be the smaller ones, although larger enterprises seem more capable to assimilate complementary technologies, such as Big Data and Machine Learning. The total effects of cloud on firm performance are quite similar among manufacturing and service firms, although the composition of the different effects involved is different.
Originality/value
This paper is one of the very few analyses estimating the impact of Cloud Computing on firm performance based on country microdata and, to the best of the authors’ knowledge, the first one that contemplates the indirect economic effects that take place through cloud-complementary technologies such as Big Data and Machine Learning.
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Peter John Kuvshinikov and Joseph Timothy Kuvshinikov
The purpose of this paper is to evaluate the insights of founding entrepreneurs to understand what they consider as motivating factors in their decision to act upon…
Abstract
Purpose
The purpose of this paper is to evaluate the insights of founding entrepreneurs to understand what they consider as motivating factors in their decision to act upon entrepreneurial intentions. Using this information, the entrepreneurial trigger event influence was conceptualized, and a scale developed for use in subsequent testable models.
Design/methodology/approach
Qualitative and quantitative techniques were used to construct an instrument that measures the presence and influence of entrepreneurial behavior triggers. The concept of triggering events was explored with 14 founding entrepreneurs. Themes emerged from this enquiry process which informed the development of four primary entrepreneurial triggering events. Over 600 entrepreneurs participated in the study. Exploratory factor analysis was used to identify dimensions of entrepreneurial triggers and was tested using confirmatory factor analysis.
Findings
Entrepreneurs perceive that personal fulfillment and job dissatisfaction serve as two significant trigger events which will lead individuals to engage in entrepreneurial behaviors. This research supports theorizing that suggests entrepreneurial trigger events have influence in motivating individuals to act upon entrepreneurial intentions and some trigger events may have more influence toward behavior than others.
Research limitations/implications
This research is subject to multiple limitations. Trigger events were limited to those identified in literature and the interviews. Most entrepreneurs participating in this study were from a limited geographic region. The entrepreneurs in this study reported their triggering event based on their memory which could have been affected by inaccurate recall or memory bias. No attempt has been made to model the comparative effects of the different variables on entrepreneurial outcomes. Finally, the entrepreneurial trigger event instrument did not measure the participant's demographics or psychographics which could have played a role in the influence of reported trigger event.
Practical implications
This study extends previous research that trigger events serve as catalysts for entrepreneurial behavior. Findings support the premise that different types of triggers have different levels of influence as antecedents of entrepreneurial behavior. Specifically, positive, negative, internal and external entrepreneurial triggering events were explicated. The Entrepreneurial Trigger Event Scale created to facilitate this study enables researchers to explore the effects of types and perceived influences of precipitating trigger events on the intentions of the individual that result in entrepreneurial behavior. The optimized instrument further expanded Shapero's (1975) proposed theory of the origins of entrepreneurial behavior.
Social implications
The development of a scale provides researchers with the opportunity to include the influence of entrepreneurial trigger events, as perceived by entrepreneurs, in future testable models. Entrepreneurial development organizations can use the knowledge to assist in understanding when potential entrepreneurs may act upon entrepreneurial intentions. Information gained can have significant implications for understanding the initiation of entrepreneurial behavior, entity establishment and business growth.
Originality/value
This research responds to a call for investigation into the influence of entrepreneurial trigger events on a person's decision to act upon entrepreneurial intentions. It is an early attempt to conceptualize a relevant construct of entrepreneurial trigger event influence and to develop a scale for use in empirical testing. It is distinguished by using planned behaviors, push and pull, motivation and drive reduction theories. These theories are applied to the perceptions of successful entrepreneurs to develop a construct and validate it.
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Jerome L. Antonio, Alexander Lennart Schmidt, Dominik K. Kanbach and Natanya Meyer
Entrepreneurial ventures aspiring to disrupt existing market incumbents often use business-model innovation to increase the attractiveness of their offerings. A value proposition…
Abstract
Purpose
Entrepreneurial ventures aspiring to disrupt existing market incumbents often use business-model innovation to increase the attractiveness of their offerings. A value proposition is the central element of a business model, and is critical for this purpose. However, how entrepreneurial ventures modify their value propositions to increase the attractiveness of their comparatively inferior offerings is not well understood. The purpose of this paper is to analyze the value proposition innovation (VPI) of aspiring disruptors.
Design/methodology/approach
The authors used a flexible pattern matching approach to ground the inductive findings in extant theory. The authors conducted 21 semi-structured interviews with managers from startups in the global electric vehicle industry.
Findings
The authors developed a framework, showing two factors, determinants and tactics, that play a key role in VPI connected by a continuous feedback loop. Directed by the determinants of cognitive antecedents, development drivers and realization capabilities, aspiring disruptors determine the scope, focus and priorities of various configuration and support tactics to enable and secure the success of their value proposition.
Originality/value
The authors contribute to theory by showing how cognitive antecedents, development drivers and capabilities determine VPI tactics to disrupt existing market incumbents, furthering the understanding of configuration tactics. The results have important implications for disruptive innovation theory, and entrepreneurship research and practice, as they offer an explanatory framework to analyze strategies of aspiring disruptors who increase the attractiveness of sustainable technologies, thereby accelerating their diffusion.
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Thi Vinh Tran Nguyen and Seng-Su Tsang
The current study proposes a moderated mediation model to predict work-from-home engagement during an emergency such as the coronavirus disease 2019 (COVID-19) pandemic based on…
Abstract
Purpose
The current study proposes a moderated mediation model to predict work-from-home engagement during an emergency such as the coronavirus disease 2019 (COVID-19) pandemic based on the integration of well-known concepts, including inclusive leadership, organizational support and perceived risk theory.
Design/methodology/approach
An online questionnaire on the Google Forms platform was designed and distributed to Vietnamese employees using a convenience sampling method. A total of 794 valid questionnaires were used for data analysis. Partial least squares structural equation modeling (PLS-SEM) was employed to test the proposed model and hypotheses. The instrument's validity and reliability were tested and ensured.
Findings
The study found that inclusive leadership has direct and indirect effects on work-from-home engagement through the separate and serial mediating roles of perceived organizational support and employee motivation. The present study also revealed that the effects of perceived organizational support and employee motivation on work-from-home engagement are strengthened by employee risk perception. Moreover, the study showed that perceived organizational support and employee motivation performed the lowest of the four elements that were considered, while the importance of these two factors was the highest.
Practical implications
These findings suggest that in an emergency such as COVID-19, contextual factors should be given more attention. Based on these findings, several theoretical and practical implications for human resource management are highlighted.
Originality/value
By integrating inclusive leadership, organizational support and perceived risk theory to explore employees' engagement in working from home during an emergency, the present study demonstrated that in addition to traditional factors, leadership and contextual factors should be considered for studies on working from home in an emergency such as the COVID-19 pandemic. The present study established that these factors might encourage employees' work-from-home engagement.
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Ting Chen, Xia Li and Yaoqing Duan
The discontinuous usage behavior of short video social media presents an ongoing challenge to platform development. The purpose of this study is to investigate the antecedents of…
Abstract
Purpose
The discontinuous usage behavior of short video social media presents an ongoing challenge to platform development. The purpose of this study is to investigate the antecedents of intentions to short media discontinuous usage.
Design/methodology/approach
This study adopts a Cognition–Affection–Conation (CAC) framework to analyze short video social media discontinuous intention on the basis of cognitive dissonance theory (CDT) and self-efficacy theory. The empirical evaluation of the research model was conducted using SmartPLS 2.0 and was based on questionnaire data obtained from participants in China.
Findings
The results show information overload and user addiction have a significant positive association with cognitive dissonance, which is, in turn, found to significantly impact discontinuous usage intention. Self-efficacy moderates the relationships between information overload, user addiction, cognitive dissonance and discontinuous usage.
Originality/value
This study contributes to the understanding of the factors that influence short video discontinuous usage intention and it achieves this by engaging from a CDT perspective and by applying Self-Efficacy Theory. Theoretical implications for future short video platform research, as well as practical suggestions for short video platform operators and users, are also discussed.
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Vasanthi Mamidala, Pooja Kumari and Dakshita Singh
The purpose of this study is to examine the behaviour of retail investors while making an investment decision and how it gets affected by the behavioural biases of the investors…
Abstract
Purpose
The purpose of this study is to examine the behaviour of retail investors while making an investment decision and how it gets affected by the behavioural biases of the investors using a moderated-mediation framework.
Design/methodology/approach
A mixed method approach has been used to fulfil the objectives of the study. In the first study, a qualitative analysis of the interviews with 15 retail investors was conducted. As part of the quantitative study, a total of 201 responses from Indian retail investors were collected using systematic sampling and analysed using structural equation modelling and Process Macro.
Findings
The results indicate that anchoring bias, availability bias, herding bias, switching cost, sunk cost, regret avoidance and perceived threat have a significant effect on retail investors’ investing intention. The attitude of the investors towards investing decisions mediates the effects of behavioural bias and the status quo on investment intention. The results of the moderated-mediation analysis indicate that mediating effect of attitude varied at the low and high-risk aversion of investors.
Practical implications
The findings of this study will help regulators and retail investors to understand the critical behavioural biases which affect the investors’ investing intention.
Originality/value
The paper contributes to the literature on investors’ behaviour, status quo bias theory (SQB) and behavioural bias. This study uniquely proposes a moderated-mediation framework to understand the effects of biases on retail investors’ investment intention.
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