Bhumika Ray, Mohit Verma, Nikshit Gautam and Manindra Kumar
This study aims to present a comprehensive review of the scientific literature on gig work and the social responsibility towards them; the study highlights the evolving nature of…
Abstract
Purpose
This study aims to present a comprehensive review of the scientific literature on gig work and the social responsibility towards them; the study highlights the evolving nature of work, career and organisation, focussing on their social responsibility towards gig work.
Design/methodology/approach
A systematic review of 186 selected articles published since the beginning of the gig economy research. Quantitative bibliometric and framework-based review techniques were used to analyse theoretical nuances, themes, antecedents and contextual factors.
Findings
Factors responsible for the social responsibility towards gig work were identified. The factors were categorised into individual, organisational and social-related attributes. Overall, the contextual factors, top articles, authors and journals suggested that gig work research is increasing exponentially across the globe.
Research limitations/implications
The understanding of the factors influencing the gig work explored, the long-term implications of disruptions or gig workers’ well-being and exploring the impact of social and cultural aspects of the gig work research.
Originality/value
To the best of the authors’ knowledge, this is one of the first studies to analyse the factors influencing social responsibility towards gig work in the changing nature of work, career and organisation. The study provides future directions for expanding the scholarship, resulting in the sustainability of this form of employment.
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Nikshit Gautam, Mohit Verma and Bhumika Ray
This study aims to identify the dimensions of satisfaction in the halal tourism literature by analyzing the identified antecedents and outcomes. The study aims to synthesize the…
Abstract
Purpose
This study aims to identify the dimensions of satisfaction in the halal tourism literature by analyzing the identified antecedents and outcomes. The study aims to synthesize the current empirical findings in halal tourism. Additionally, this study provides a comprehensive understanding of the factors that lead to halal traveller satisfaction.
Design/methodology/approach
Using a meta-analysis approach, this paper synthesizes the fragmented and conflicting findings of 56 quantitative studies focusing on satisfaction and its antecedents and consequences in the halal tourism context. Data from 145 relationships representing an aggregate sample size of 21,173 were used. Additionally, this study extends the analysis by incorporating contemporary factors such as the impact of COVID-19, sample size and gender as moderators.
Findings
The findings indicate that both physical characteristics and psychological aspects are positively related to satisfaction. Further, this study reported that endorsement and revisit intention are the significant consequences of satisfaction. Lastly, this study identifies the significant moderating effect of the COVID-19 pandemic, sample size and gender on the relationship between satisfaction and its antecedents/consequences.
Research limitations/implications
Global halal tourism industry caters to Muslim and non-Muslim tourists across the globe; this article identifies the contributing factors of satisfaction in the halal tourism context. Policymakers can adapt according to their needs and preferences.
Originality/value
This study provides cumulative evidence to the literature regarding the relationship between satisfaction and its antecedents/consequences in halal tourism. This is the first meta-analysis study on the mentioned topic, making significant theoretical, managerial and methodological contributions to halal tourism research.
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Mohit Kant Kaushik and Deepak Verma
The purpose of this paper is to review existing literature on users’ digital learning acceptance behavior and to identify gaps in the current body of knowledge and suggest future…
Abstract
Purpose
The purpose of this paper is to review existing literature on users’ digital learning acceptance behavior and to identify gaps in the current body of knowledge and suggest future research directions. The paper also includes identification of motivating as well as inhibiting factors previously explored by academicians in the acceptance of digital learning.
Design/methodology/approach
The systematic literature review based on PRISMA methodology was conducted, and 200 articles from peer-reviewed journals on digital learning acceptance behavior using technology adoption theories were examined.
Findings
The study found an overall rise in the number of papers published yearly during 2002–2017. Most of the studies were published in two journals, i.e. Computers & Education and Computers in Human Behaviour and were carried out in Asia followed by Europe, North America, Africa, Oceania and South America. It was also noted that most of the studies have used the technology acceptance model and were empirical in nature. The study also found that prominently students’ digital learning acceptance behavior was investigated. The review also indicates a lack of qualitative and mixed method (qualitative and quantitative) approaches to study digital learning acceptance behavior.
Practical implications
The study identified gaps in the current body of knowledge by reviewing published articles that will suggest future directions for further research. The top three determinants of digital learning acceptance that have been analyzed were the behavioral intention, perceived usefulness and perceived ease of use, followed by attitude and user behavior. The study articulates the implications for providers in marketing digital learning products, for higher education institution in expanding digital content, for students seeking digital education tools, for educators in motivating students to accept digital learning and for governments in delivering cost-effective public education by utilizing digital learning.
Originality/value
The paper analyzes 200 publications on digital learning acceptance through technology adoption theories. To the best of the authors’ knowledge, this is the first initiative to provide systematic and exhaustive summarization of the knowledge in this subject. It further explores the various factors influencing digital learning adoption behavior and provides avenues for future research. The paper is useful for researchers working on digital learning acceptance behavior.
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Mohit Jain, Gunjan Soni, Sachin Kumar Mangla, Deepak Verma, Ved Prabha Toshniwal and Bharti Ramtiyal
Agriculture is a vital sector for every country, especially for a country like India, where the majority of the population is dependent on agriculture as their earning source…
Abstract
Purpose
Agriculture is a vital sector for every country, especially for a country like India, where the majority of the population is dependent on agriculture as their earning source. Technological improvements in agriculture will increase output with proper forecasting of input resources. In this study, the author tries to investigate the attitude of end users (farmers) about the use of Industry 4.0 (I4.0) technologies.
Design/methodology/approach
The unified theory of acceptance and use of technology (UTAUT) model is used to assess the behavioral aspects. The significance of socioeconomic and technological factors is highlighted, providing the study with a thorough understanding of farmers' decision-making processes. A research questionnaire was developed for data collection, and descriptive and inferential statistics were used to analyse the results using AMOS and SPSS software.
Findings
A total of 371 survey responses were collected. The results demonstrate that the hypothesis regarding UTAUT model components is validated, while several mediating hypotheses are not supported, indicating that they are not significant in farmers' decision-making.
Originality/value
In this study, socioeconomic and technological factors are considered to be mediating and moderating elements between the constructs of the UTAUT model. Increasing the accuracy and reliability of our study by integrating mediating and moderating variables. This study assists industry specialists in understanding the elements that farmers consider while switching toward new technologies.
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The purpose of this study is to analyze the impact of ethics and technology towards safety of internet of things (IoT)-enabled system in smart cities of India (SCI).
Abstract
Purpose
The purpose of this study is to analyze the impact of ethics and technology towards safety of internet of things (IoT)-enabled system in smart cities of India (SCI).
Design/methodology/approach
The determinants that would impact on securing IoT-enabled system in SCI have been identified by the studies of literature. Some hypothesis has been formulated. A conceptual model has been developed. Hypotheses and conceptual models have been tested by a statistical approach through survey works considering the feedbacks of 331 usable respondents. The results have been discussed followed by explaining the implications of this study. A comprehensive conclusion has been provided at the end.
Findings
The validated results show that the trust factor has insignificant impacts on the system and technology use, as well as on the behavioural intention. The model provided could achieve 79% explanative power.
Practical implications
For ensuring safety and security of IoT-enabled devices in SCI, the ethical sense of the stakeholders of SCI has considerable impact on securing safety of IoT-enabled devices in SCI. The practitioner should, as such, be sincere to motivate the stakeholders to ameliorate the ethical sense of the stakeholders for securing safety of IoT-enabled devices in SCI.
Originality/value
A few studies in the areas of Indian smart cities, IoT and related ethical issues have been conducted. In that sense, this approach is deemed to be a novel attempt.
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Somesh Agarwal, Mohit Tyagi and Rajiv Kumar Garg
The purpose of this study is to present Industry 4.0 technologies for advancing the circular economy (CE) adaption in manufacturing industry’s supply chain (SC) network. To pursue…
Abstract
Purpose
The purpose of this study is to present Industry 4.0 technologies for advancing the circular economy (CE) adaption in manufacturing industry’s supply chain (SC) network. To pursue the same, Industry 4.0 technological aspects were recognized as solution measures to overcome the challenges for CE implementation in SC.
Design methodology approach
A new hierarchical framework containing 13 leading CE challenges and eight promising Industry 4.0 technological aspects had been proposed, representing their mutual relationship. The proposed framework was analysed using a hybrid approach of analytic hierarchy process (AHP) and combinative distance-based assessment (CODAS) under interval-valued intuitionistic fuzzy (IVIF) environment. The IVIF-AHP was used to acquire the priority weights of the CE challenges, whereas the IVIF-CODAS was used to attain the preference order of the proposed technological aspects.
Findings
The key findings of the present work indicate that “Information disruptions among the SC members due to multiple channels” and “Manpower inability to handle the toxic materials” are the two most critical challenges hindering the adoption of CE practices in SC. Along with, the results also demonstrate that to overcome these challenges, “Smarter equipment to empower flexibility and mass customization” and “Big data driven decision-making system” are the two most significant Industry 4.0 technological solutions, adoption of which might encourage the organizations to align their operations with CE philosophies.
Research limitations implications
The sample size of the experts engaged in work was limited; however, big data studies could be conducted in future to capture more insights of the stated topic. In addition to this, to understand the implication of CE on Industry 4.0-based manufacturing, a separate study can be synthesised in future.
Originality value
The proposed work facilitates a new framework consolidating various perspectives associated with CE implementation into a manufacturing industry considering the scenario of Indian rubber industry. This study enables the decision-makers to recognize the challenging factors for CE implementation into their organizations and up-taking the proposed Industry 4.0 practices as technological measures for improving the organization overall performance.
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Mohit Jamwal, Honey Kanojia and Neeraj Dhiman
Wearable medical devices (WMDs) are improving people’s health and well-being in a noble way, as these aid in effective personal health monitoring, remote surveillance and overall…
Abstract
Purpose
Wearable medical devices (WMDs) are improving people’s health and well-being in a noble way, as these aid in effective personal health monitoring, remote surveillance and overall illness management. Despite its wider applicability and usage, it is prevalent that users discontinue its usage, which presents an obstacle in the proliferation of such vital innovations among the masses. Therefore, relying on the expectation-confirmation model (ECM), this study aims to delve deeper to explain the factors that motivate users to continually use WMDs by incorporating novel variables, namely, health belief, health information accuracy and privacy protection.
Design/methodology/approach
The study proposes and tests an extended ECM perspective to predict the continuance intention (CI) of WMDs among users. By using structural equation modelling using SmartPLS, the authors tested the model on Indian people (n = 451) who had an erstwhile experience of using WMDs.
Findings
The study results show that confirmation of users’ expectations positively impacts their usefulness and satisfaction towards WMDs. Moreover, satisfaction towards WMDs is the strongest predictor of users’ CI, followed by perceived usefulness. Interestingly, personal factor such as health beliefs reveals a greater influence on perceived usefulness than technological factors like health information accuracy and privacy protection.
Research limitations/implications
The study findings demonstrate the significance of using the expectation-confirmation perspective in technology-based studies in general and WMDs, in particular. This study aids by offering an integrated model of WMD’s continued usage intention for the users, in addition to practical implications for marketers and policymakers.
Originality/value
A paucity of research exists when understanding the predictors of CI for WMDs. This study fills this gap and adds to behavioural literature by offering a noble viewpoint involving an extended ECM perspective.
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Mohit, Rishi Chaudhry, Raj Kumar and Meenal Arora
This study aims to explore the relationship between brand image and buying intentions, which is crucial in understanding consumer buying behaviour. This study aims to review the…
Abstract
Purpose
This study aims to explore the relationship between brand image and buying intentions, which is crucial in understanding consumer buying behaviour. This study aims to review the literature, identify research trends and further suggests research directions for future study.
Design/methodology/approach
A bibliometric analysis was conducted on 402 research articles extracted from the Scopus database, following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. The study includes performance analysis, science mapping and network visualization, with VOSviewer and Biblioshiny software for the analysis. It examines publication trends, prolific countries, institutions, authors, highly cited papers, keyword co-occurrence and thematic evolution for a comprehensive analysis.
Findings
The study reveals the increasing scholarly interest of researchers in brand image and purchase intention over time and identified various research themes. Results state that Brand image and purchase intention themes remained central throughout both time zones (1995–2012 and 2013–2024). Emerging themes of the field include green marketing, corporate social responsibility, influencer marketing and entrepreneurial marketing.
Originality/value
This research study makes an addition to the body of literature by identifying the research hotspots and areas that need further investigation. Further, the thematic evolution of the brand image and purchase intentions illustrates how perception at various consumer levels and decision-making process has shifted over time in response to changing market dynamics. This study is of quite paramount importance for a vast group of stakeholders including researchers, businesses, brand managers, policy makers, marketing professionals and future research scholars.
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Vartika Bisht, Priya, Sanjay Taneja and Amar Johri
Purpose: Health insurance and big data analytics have become increasingly intertwined in recent years, offering both opportunities and challenges for the industry. Thus, the…
Abstract
Purpose: Health insurance and big data analytics have become increasingly intertwined in recent years, offering both opportunities and challenges for the industry. Thus, the primary aim is to utilize bibliometric analysis for comprehensive literature reviews in health insurance and big data analytics.
Design/methodology/approach: Scopus, chosen for its broad coverage, is utilized to extract 493 manuscripts meeting the inclusion criteria set (year and language) for a 25-year period. The tools employed in the study include VOSViewer and Biblioshiny package (R-programming).
Findings: An emerging trend has been observed in the field of health insurance and big data analytics for 25 years. The US has been observed as the topmost leading country to contribute to the subject under study. The Ministry of Science and Technology of Taiwan is at the top first rank of top leading institutions contributing 20 documents to the field of health insurance and big data analytics. Moreover, thematic mapping and word cloud is done to find the most relevant keywords in the study. Furthermore, co-occurrence analysis revealed the relationship of keywords for health insurance and big data mining.
Implications: The implications of the research extend beyond academic insights and have practical implications for stakeholders involved in healthcare policy, practice, and research.
Originality/Value/Implications: The novelty in the manuscript has been brought in by focusing on one of the many types of insurance, i.e., health. Moreover, big data analytics in relation to health insurance for such a range of time period serves as the original presentation of the work with regards to the matter under study.
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Deepak Sangroya, Gaurav Kabra, Yatish Joshi and Mohit Yadav
This study examines various aspects of green energy management operations in India and reports the current state, potential avenues and barriers for green energy management.
Abstract
Purpose
This study examines various aspects of green energy management operations in India and reports the current state, potential avenues and barriers for green energy management.
Design/methodology/approach
This study performs an extensive literature review and covers the several aspects of green energy management operations.
Findings
The findings report the current state of various aspects of green energy management operations such as: procurement, manufacturing and distribution and provides the viable business models. It further explains the various facilitators and barriers of green energy management and reports the opportunities and challenges that exist in developing and managing green energy supply chain.
Originality/value
The study is pioneer in providing a comprehensive view of developing and managing green energy operations in India. The study is useful to various organisations on drafting strategies to effectively adopt and manage green energy. The study is also useful in policy formulation for promoting green energy use. This article also set as a base for future researchers working in the area of green energy.