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The purpose of this paper is to explore factors and their impacts influencing online grocery shopping intentions among customers in the post COVID-19 situation. Moreover, the study aims at evaluating the mediating roles of shopping habits during COVID-19 between perceived usefulness, perceived ease of use and post COVID-19 online grocery shopping intentions.

Based on a review of the literature and collection of 401 useable valid responses, the study was conducted through structured questionnaires applying personal interview technique. The subsequent analysis was conducted through partial least squares structural equation modeling (PLS-SEM) using Smart PLS 3.3.3.

The study findings revealed that perceived usefulness, perceived ease of use and shopping habits during COVID-19 have a significant influence on post COVID-19 online grocery shopping intentions. Also, the study has uncovered that perceived usefulness and perceived ease of use significantly influence shopping habits during COVID-19 among customers. Furthermore, the current study has revealed that hopping habit during COVID-19 significantly mediates the relationship between perceived usefulness, perceived ease of use and post COVID-19 online grocery shopping intentions.

The study findings have provided practical suggestions of developing and improving technological platforms to attract new customers for online grocery shopping. Further, the study suggests that online grocery retailers should apply adjusted pricing strategies using coupons and discount offers.

This paper investigates factors and its impacts on online grocery shopping intentions in post COVID-19 context. Therefore, the study uncovers the factors that add value to understanding customers' post COVID-19 online grocery shopping intentions by integrating perceived usefulness, perceived ease of use and shopping habits during COVID-19.

The purpose of this paper is to review studies on the use of virtual reality (VR) and gamification to engage students in higher education for marketing issues to identify the research topics, the research gaps and to prepare a future research agenda.

A literature review is performed based on two search terms applied to Web of Science, resulting in a final pool of 115 articles. A text-mining approach is used to conduct a full-text analysis of papers related to VR and gamification in higher education. The authors also compare the salient characteristics presented in the articles.

From this analysis, five major research topics are found and analysed, namely, teaching methodologies and education, experience and motivation, student engagement, applied theories in VR and gamification. Based on this and following the theory concept characteristics methodology framework, the paper provides directions for future research.

There is no comprehensive review exploring the topics, theories, constructs and methods used in prior studies concerning VR and gamification applied to higher education services based on all the articles published in well-regarded academic journals. This review seeks to provide deeper insights, to help scholars contribute to the development of this research field.

En este documento se revisan los estudios sobre el uso de la realidad virtual (RV) y la Gamificación para involucrar a los estudiantes en la educación superior en marketing, se identifican los principales temas de investigación tratados, las lagunas de investigación y se sugiere una agenda futura de investigación.

Una revisión de la literatura basada en dos búsquedas en Web of Science (WOS) permitió identificar 115 artículos. La minería de textos se utilizó para realizar un análisis de texto completo de los artículos relacionados con RV y gamificación en la educación superior. Los autores también compararon las características más destacadas de los artículos.

A partir de este análisis, se encuentran y analizan cinco grandes temas de investigación: metodologías de enseñanza y educación, experiencia y motivación, compromiso de los estudiantes, aplicadas a la RV y la gamificación. Basándose en esto y siguiendo el marco del TCCM, el artículo proporciona una agenda futura de investigación.

No hay una revisión exhaustiva que explore los temas, las teorías, construcciones y métodos utilizados en estudios anteriores relativos a RV y gamificación aplicados a servicios de educación superior basados en todos los artículos publicados en revistas académicas. Esta revisión proporciona una panorámica más detallada y sugiere a los académicos nuevas líneas de trabajo para seguir desarrollando este campo de investigación.

本文的目的是回顾为了提高学生参与高等教育而使用虚拟现实(VR)和游戏化的营销方面的研究，以确定它们的研究主题，研究差距，并以此准备未来的研究议程。

本文的文献综述是基于Web of Science的两个搜索词进行的，最终搜索出115篇文章。本文采用文本挖掘方法，对与高等教育中的虚拟现实和游戏化相关的论文进行全文分析。作者还比较了这些文章中呈现的显著特征。

从这一调查中，我们发现并分析了五大研究主题，即教学方法与教育、体验与动机、学生参与、虚拟现实应用理论和游戏化。在此基础上，遵循理论概念、特征、方法论框架，为今后的研究提供了方向。

目前，在权威学术期刊上发表的所有文章，都没有对以往关于虚拟现实和游戏化应用于高等教育服务的研究的主题、理论、结构和方法进行全面的综述。本文旨在提供更深刻的见解，以帮助学者们为这一研究领域的发展做出贡献。

This study aims to systematically review the existing literature and develop an understanding of work-life balance (WLB) and its relationship with other forms of work-related behavior and unearth research gaps to recommend future research possibilities and priorities.

The current study attempts to make a detailed survey of the research work done by the pioneers in the domain WLB and its related aspects. A total of 99 research work has been included in this systematic review. The research works have been classified based on the year of publication, geographical distribution, the methodology used and the sector. The various concepts and components that have made significant contributions, factors that influence WLB, importance and implications are discussed.

The paper points to the research gaps and scope for future research in the area of WLB.

The current study uncovered the research gaps regarding the systematic review and classifications based on demography, year of publication, the research method used and sector being studied.

Enrolling in an academic discipline or selecting the college major choice is a dynamic process. Very few studies examine this aspect in India. This paper makes a humble attempt to fill this gap using NSSO 71st round data on social consumption on education. The purpose of this paper is to use multinomial regression model to study the different factors that influence course choice in higher education. The different factors (given the availability of information) considered relate to ability, gender, cost of higher education, socio-economic and geographical location. The results indicate that gender polarization is apparent between humanities and engineering. The predicated probabilities bring out the dichotomy between the choice of courses and levels of living expressed through consumption expenditures in terms of professional and non-professional courses. Predicted probabilities of course choices bring in a clear distinction between south and west regions preferring engineering and other professional courses, whereas north, east and NES prefer humanities.

The present paper follows the same approach as that of Turner and Bowen (1999). The Multinomial regression is specified as P ( M i = j ) = ( exp ( β j × X i ) / ∑ j − 1 5 exp ( β j × X i ) ) , where P (M_i=j) denotes the probability of choosing outcome j, the particular course/major choice that categorizes different disciplines. This response variable is specified with five categories: such as medicine, engineering, other professional courses, science and humanities. The authors’ primary interest is to determine the factors governing an individual’s decision to choose a particular subject field as compared to humanities. In other words, to make the system identifiable in the MLR, humanities is treated as a reference category. The vector X_i includes the set of explanatory variables and β_j refers to the corresponding coefficients for each of the outcome j. From an aggregate perspective, the distribution of course choices is an important input to the skill (technical skills) composition of future workforce. In that sense, except humanities, the rest of the courses are technical-intensive courses; hence, humanities is treated as a reference category.

The results indicate that gender polarization is apparent between humanities and engineering. The predicated probabilities bring out the dichotomy between the choice of courses and levels of living expressed through consumption expenditures in terms of professional and non-professional courses. Predicted probabilities of course choices bring in a clear distinction between south and west regions preferring engineering and other professional courses, whereas north, east and NES prefer humanities.

Predicted probabilities of course choices bring in a clear distinction between south and west regions preferring engineering and other professional courses, whereas north, east and NES prefer humanities. This course and regional imbalance need to be worked with multi-pronged strategies of providing both access to education and employment opportunities in other states. But the predicted probabilities of medicine and science remain similar across the board. Very few research studies on the determinants of field choice in higher education prevail in India. Research studies on returns to education by field or course choices hardly exist in India. These evidences are particularly important to know which course choices can support student loans, which can be the future area of work.

The research evidence is particularly important to know which course choices can support student loans, which can be the future area of work, as well as how to address the gender bias in the course choices.

The paper has social implications in terms of giving insights into the course choices of students. These findings bring in implications for practice in their ability to predict the demand for course choices and their share of demand, not only in the labor market but also across regions. India has 36 states/UTs and each state/UT has a huge population size and large geographical areas. The choice of course has state-specific influence because of nature of state economy, society, culture and inherent education systems. Further, within the states, rural and urban variation has also a serious influence on the choice of courses.

The present study is a value addition on three counts. First, the choice of courses includes the recent trends in the preference over market-oriented/technical courses such as medicine, engineering and other professional courses (chartered accountancy and similar courses, courses from Industrial Training Institute, recognized vocational training institute, etc.). The choice of market-oriented courses has been examined in relation to the choice of conventional subjects. Second, the socio-economic background of students plays a significant role in the choice of courses. Third, the present paper uses the latest data on Social Consumption on Education.

This paper aims to examine employee perceptions of the labor market in the employee turnover intention model and explores how different situations outside work (labor market conditions) play a role in employee-organizational membership. In addition, it also examines the mediating role of commitment in the relationship between stress and the turnover model.

Data were collected from 628 private school teachers working in the economically depressed state of J&K (India), which were randomly selected. Confirmatory factor analysis was used for validation of a scale. Structural equation modeling and PROCESS by Hayes was used to test the hypothesized relationships between the study variables.

The antecedents of occupational stressors contribute negatively toward employees’ psychological state resulting in undesirable employee-organizational relationships such as high turnover intentions and low organizational commitment. Nevertheless, lack of external job opportunities compels employees to maintain organizational membership, even though against the stressful working environment.

This study while acknowledging the inherent limitations, questionnaires are susceptible to and single sectional nature of the study poses limitations.

The practical implication explains that the employee and organization relationship is governed more by external economic conditions than by the psychological feelings of the employees toward the organization (organizational commitment). As also, the moral system of employees, as well as their feelings toward the noble profession makes them feel morally exalted and this binds them to the membership of the organization.

This study mainly focuses on, to understand if and how the conditions of the labor market relate to the employees’ attitudes. This would enable us to gain more insights to the systematic relations of employees’ attitudinal variables such as occupational stress, organizational commitment and employee turnover intentions.

A real-time production scheduling method for semiconductor back-end manufacturing process becomes increasingly important in industry 4.0. Semiconductor back-end manufacturing process is always accompanied by order splitting and merging; besides, in each stage of the process, there are always multiple machine groups that have different production capabilities and capacities. This paper studies a multi-agent based scheduling architecture for the radio frequency identification (RFID)-enabled semiconductor back-end shopfloor, which integrates not only manufacturing resources but also human factors.

The architecture includes a task management (TM) agent, a staff instruction (SI) agent, a task scheduling (TS) agent, an information management center (IMC), machine group (MG) agent and a production monitoring (PM) agent. Then, based on the architecture, the authors developed a scheduling method consisting of capability & capacity planning and machine configuration modules in the TS agent.

The authors used greedy policy to assign each order to the appropriate machine groups based on the real-time utilization ration of each MG in the capability & capacity (C&C) planning module, and used a partial swarm optimization (PSO) algorithm to schedule each splitting job to the identified machine based on the C&C planning results. At last, we conducted a case study to demonstrate the proposed multi-agent based real-time production scheduling models and methods.

This paper proposes a multi-agent based real-time scheduling framework for semiconductor back-end industry. A C&C planning and a machine configuration algorithm are developed, respectively. The paper provides a feasible solution for semiconductor back-end manufacturing process to realize real-time scheduling.

The purpose of this paper is to identify the critical success factors of emblematic hotels from the perspective of the guest, by analysing the direct activities that make up the value chain of these types of establishments.

The authors use the case study methodology to derive conclusions that contribute to the development of a theory about the success factors of emblematic hotels. The case selected is the Spanish Tourist Parador chain. The authors carried out over a period of two years a data mining analysis of the online comments posted by its guests.

The results indicate that the attributes of location and facilities are critical success factors expected a priori given the nature of the business of such establishments, based on the singular nature of the buildings. Another critical success factor is personnel, which seems to indicate that the Paradors support their business model by employing highly qualified staff, but give less attention to restaurant services or the room, according to guest perceptions.

The paper provides required evidence on the critical success factors of emblematic hotels adapting Porter’s value chain, for the tourism accommodation sector, through the analysis of direct value chain activities. In addition, the existing literature is broadened by taking a perspective scarcely studied, the guest perception of hotel establishments, online content posted by the user on the establishment’s website, rather than simply considering the traditional views of the experts/managers, through structures questionnaires. Besides, the results provide practical and useful implications for the managements of the emblematic hotels under study.

This paper aims to examine the influence of big data (BD) on human resource management (HRM). It defines how these data can be a useful tool in the decision-making process of companies’ human resources to obtain a sustainable competitive advantage.

This paper emphasizes the need to develop a holistic approach to emphasize these relations. Starting from these observations, the document proposes empirical research employing Eurostat data to test the benefits of BD in HRM decisions that optimize the relationship between training, productivity, and well-being.

The findings estimate HRM decisions and their impact in a broader macroeconomic and microeconomic perspective.

BD research is emerging as a crucial discipline in human resources. To overcome this problem, the paper develops an analysis of the literature on cleaner production and sustainability context; it creates a conceptual framework to clarify whether the existing studies consider the growing intensity of BD on human resources.

The purpose of this study is to see if the Fisher’s hypothesis validation is robust in year or/and countries dimensions. We investigate whether nominal or real stock market returns are hedged against inflation rate, so as to determine the appropriate time and markets to invest in (from the 32 countries) over a period covering the 2008 global finance crisis (GFC) and the Covid 19 outbreak. Hedging property is found to be homogenous within countries and stable in time. Using either nominal or real return, based on cross-sectional data results, Fisher’s hypothesis is generally validated with a few exceptions, while the time-series based results show that the hedge property is robust only in some countries. Using time series data (cross section data), in terms of homogeneity (homogeneity and stability), there is no difference between hedge property between Euro and non-Euro countries (groups of countries or between sub-periods) for both periods covering either 2008 GFC or the Covid 19 outbreak. Robust results are also the outcome of panel data investigations with or without the interest rate role as macro control variable.

This present study sheds light on how these issues affect police officers’ personal and professional lives. This research looks at how family support (FS) and workplace pressures affect police effectiveness.

The analysis of the measurement and structural model was conducted using AMOS version 26. To ensure the accuracy of the results, a two-stage analysis methodology (Anderson and Gerbing, 1988) was used. The first stage involved testing the measurement model using various validity indicators such as confirmatory factor analysis, comparative fit index, goodness of fit index and Tucker–Lewis index to evaluate the incremental compatibility of the model. Root-mean-square approximation error and CMIN/DF were also used to further assess the model’s validity. In the second stage of the analysis, the structural model was estimated using structural equation modeling technique (Hair et al., 1998). The data obtained from the measurement model was then used to determine the fit indices. Because the values were consistent with the criterion values, the model was deemed to be a good fit.

The study conducted sheds light on the crucial role that work stressors (WS) and FS play in determining job satisfaction (JS) among nongazetted officers (NGOs) and other ranks (ORs) police officials in the state of Punjab, India. The findings suggest that there exists a complex interdependence between WS and FS, and their correlation with regards to work, family and children’s evaluations. The first hypothesis (H1, Table 4) was found to be true (0.440, p = 0.001), indicating that more than 44 % of the job performance of police officials in Punjab is affected by stressors related to work. The study also identified eight WS that have a significant impact on the performance of police officials on the job. On the other hand, FS was found to have no influence on the job performance of police officials in Punjab, and hence, the second hypothesis was rejected. Further analysis showed that FS was more prevalent among NGOs as compared to ORs police personnel, but it did not directly influence their job performance. The benefits of FS may be moderated by the nature of the job; hence, FS may be more critical in stressful jobs such as police work than in less stressful jobs. The study emphasizes the importance of balancing work and family demands and highlights the need for family-friendly policies to achieve this balance. Future research should focus on the types of policies that should be offered to lessen stress and conflict and examine the benefits of merely offering programs versus requiring or encouraging their usage. The findings of this study could be useful for policymakers and organizations in designing policies that promote employee well-being and JS while balancing work and family demands.

As with any research endeavor, it is essential to interpret the findings of this study while considering its limitations. First, the study relied on a convenience sample drawn solely from one nation, namely, India, which may restrict the generalizability of the results to other countries or cultural contexts. Furthermore, it is important to note that this study exclusively explored the causal relationship between monetary compensation, intrinsic motivation and employee performance, without delving into the nuances of various forms or qualities of FS (e.g. emotional support, instrumental support, perceived vs actual support) and their impact on job performance among police officers. Additionally, the research did not investigate whether the influence of FS on job performance varies based on the specific WS encountered by police officers. These limitations highlight potential avenues for future research to explore in greater depth.

To enhance the well-being and JS of police officers and their families, a comprehensive set of tailored interventions and support programs can be implemented. Recognizing the unique stressors faced by officers and introducing critical incident debriefing sessions and counseling services to provide a confidential space for emotional processing. Offering flexible scheduling, exploring remote work options and developing workshops and resource programs to address the needs of officers’ families, including stress management and communication skills. Strengthening parental leave policies, incorporating extended paid leave and clear communication, to alleviate stress during significant family events. Establishing peer support networks within police departments to provide officers with a valuable avenue for sharing experiences and coping strategies. Collectively, these interventions aim to create a supportive and family-friendly environment within the police force, ultimately fostering improved work-family balance and enhanced well-being for police personnel. To enhance the well-being and JS of police officers and their families, a comprehensive set of tailored interventions and support programs can be implemented. Recognizing the unique stressors faced by officers, critical incident debriefing sessions and counseling services should be introduced to provide a confidential space for emotional processing. Given the demanding nature of police work, exploring flexible schedules and remote work options can assist officers in achieving a better work-life balance, particularly when dealing with family-related challenges. Workshops and resource programs specifically addressing the needs of officers’ families, including stress management and communication skills, can be developed to strengthen family connections. Strengthening parental leave policies, incorporating extended paid leave and clear communication, can alleviate stress during significant family events. Establishing peer support networks within police departments provides officers with a valuable avenue for sharing experiences and coping strategies. Regular mental health check-ins and screenings, as well as financial education workshops, acknowledge and address the unique challenges faced by officers and their families. Community engagement and recognition initiatives, along with specialized training on work-family balance, can foster positive morale. Finally, the establishment of a crisis intervention and FS hotline serves as a vital lifeline during critical situations, ensuring immediate assistance and resources for officers and their families in times of need. Collectively, these interventions aim to create a supportive and family-friendly environment within the police force.

The primary objective of this study is to assess the impact of occupational demands and familial support on the overall happiness levels of police officers stationed in Punjab, India. The research underscores the crucial importance of implementing family-friendly policies aimed at achieving a harmonious equilibrium between professional responsibilities and family life commitments. The findings unveil a multifaceted interconnection between occupational stress, familial support systems and individual assessments concerning career fulfillment, domestic life and parental responsibilities. Moreover, the study sheds light on various family-friendly initiatives, such as empowerment strategies and recognition programs, that have the potential to augment JS among police personnel. Furthermore, it suggests that future investigations delve deeper into the efficacy of implementing voluntary programs rather than mandating or promoting their usage in mitigating stress and resolving familial conflicts. The study establishes a clear correlation between JS, overall well-being and the interplay between occupational demands and familial encouragement. Policymakers and corporate entities are urged to take cognizance of these factors while formulating strategies aimed at enhancing the health and contentment levels of employees in the workplace. Additionally, the study underscores the significance of cultural factors, emphasizing the need to consider them in future research endeavors and policy formulations. Cultural factors such as societal norms, values and expectations can influence the way that police personnel perceive and use FS, as well as the impact that FS has on their job performance. By conducting cross-cultural studies, researchers can gain insights into how the relationship between FS and job performance may vary across different cultural contexts. This can help to identify universal factors as well as culturally specific influences on the interplay between FS and job performance among police personnel. Furthermore, investigating the impact of FS on job performance in diverse cultural contexts can contribute to the development of culturally sensitive support programs and policies for police officers. Understanding how cultural factors shape the experiences of police personnel and their families can inform the design of interventions that are tailored to the specific needs and challenges present in different cultural settings. In summary, expanding the research scope to include diverse cultural contexts can enhance the generalizability of the findings and contribute to the development of culturally sensitive support programs and policies for police officers.

The content of this paper is entirely original and has not been derived from any other published or unpublished documents. It has been created solely for the purpose of providing new and unique information for the readers.