Nitin Upadhyay, Shalini Upadhyay, Mutaz M. Al-Debei, Abdullah M. Baabdullah and Yogesh K. Dwivedi
This study aims to investigate the adoption intention of artificial intelligence (AI) in family businesses through the perspectives of digital entrepreneurship and…
Abstract
Purpose
This study aims to investigate the adoption intention of artificial intelligence (AI) in family businesses through the perspectives of digital entrepreneurship and entrepreneurship orientation.
Design/methodology/approach
The study examines contributing factors explaining the adoption intention of AI in the context of family businesses. The developed research model is examined and validated using structural equation modelling based on 631 respondents' data. Purposeful sampling is used to collect the respondents' data.
Findings
The proposed model included two endogenous (i.e. business innovativeness and adoption intention) and six exogenous variables (i.e. affordances, culture and flexible design, entrepreneurial orientation, generativity, openness and technology orientation) through ten direct paths and three indirect paths. The results depicted the significant influence of all the exogenous variables on the endogenous variable reflecting support of all the hypotheses. The business innovativeness partially mediates the relationships of culture and flexible design, entrepreneurial orientation and technology orientation with adoption intention. Further, the results demonstrated a model variance of 24.6% for business innovativeness and 64.2% for adoption intention of artificial intelligence in the family business.
Research limitations/implications
The study contributes to theoretical developments in entrepreneurship and family business research and AI's theoretical progress, especially to digital entrepreneurship.
Originality/value
Theoretically, it contributes to the literature of entrepreneurship, particularly digital entrepreneurship. Additionally, the research model adds to the role of entrepreneurial orientation and digital entrepreneurship in the emerging family entrepreneurship literature. Considering the scarcity of research in this field, the empirically validated model explaining critical antecedents of AI adoption intention in the family business is a foundation for discussion, critique and future research.
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Nitin Upadhyay, Shalini Upadhyay, Salma S. Abed and Yogesh K. Dwivedi
The purpose of this paper is to identify and examine the important factors that could affect consumers' behavioural intention and use behaviour towards mobile payment services…
Abstract
Purpose
The purpose of this paper is to identify and examine the important factors that could affect consumers' behavioural intention and use behaviour towards mobile payment services during COVID-19.
Design/methodology/approach
The proposed model extends meta-Unified Theory of Acceptance and Use of Technology (meta-UTAUT) model with perceived severity and self-efficacy factors affecting consumers' behavioural intention and use behaviour towards mobile payment services. A convenient sampling technique has been utilized to gather data from a self-administered questionnaire. The data collection was restricted to the online mode to avoid any physical contact considering the COVID-19 situation.
Findings
The findings revealed that performance expectancy, effort expectancy and perceived severity have a significant positive impact on consumers' attitude; facilitating conditions has a significant positive impact on effort expectancy; self-efficacy has a significant positive impact on effort expectancy; attitude has a significant positive impact on behavioural intention; and behavioural intention has a significant positive impact on use behaviour. Social influence did not confirm any significant relationship.
Research limitations/implications
The current research study has utilized a non-probability convenient sampling technique to gather data through a self-administered questionnaire. The data collection was restricted to the online mode to avoid any physical contact considering the COVID-19 situation. The respondents were adopters of mobile payment services. The scope of the study is the COVID-19 context or related chronic diseases context where major preventive mechanisms such as social distancing and avoidance of physical contacts are vital.
Originality/value
This study has extended the meta-UTAUT model with the COVID-19 context-specific constructs and relationships. The undertaken work has strengthened the explanability of the model. The inclusion of context relevant variables such as perceived severity and self-efficacy and their association with the existing meta-UTAUT framework have enriched the context of the study. The current study offers a holistic understanding of significant factors influencing Indian consumers’ adoption of mobile payment services in the COVID-19 context.
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Nitin Upadhyay, Shalini Upadhyay and Yogesh K. Dwivedi
This paper aims to determine the entrepreneur's intention to accept artificial intelligence (AI) and provide advancement in the domain of digital entrepreneurship.
Abstract
Purpose
This paper aims to determine the entrepreneur's intention to accept artificial intelligence (AI) and provide advancement in the domain of digital entrepreneurship.
Design/methodology/approach
Extensive literature review and theories have been considered in the area of technology adoption/acceptance and digital entrepreneurship to identify the factors affecting the intention of entrepreneurs with respect to accept AI for digital entrepreneurship. Further, a model, artificial intelligence acceptance and digital entrepreneurship (AIADE) is theorized after formulating some hypotheses. The theorized model has been validated with 476 useable responses.
Findings
The findings revealed that performance expectancy, openness, social influence, hedonic motivations and generativity have a positive impact on entrepreneur's acceptance intention of AI. Additionally, affordance has no direct relationship with AI acceptance intention, but it affects AI acceptance intention through attitude. Inconvenience has a significant negative relationship with the intention to accept AI, while uncertainty was found to be positively affecting the AI acceptance intention. Effort expectancy did not confirm any significant relationship.
Research limitations/implications
By considering existing theoretical models and concepts the authors contribute to the AI's theoretical progress, specifically in the domain of entrepreneurship. The authors complement and extend existing technology adoption/acceptance theories and digital entrepreneurship theories by developing a theoretical model, AIADE, explaining the entrepreneur's intention to accept AI.
Practical implications
The practical implications of the study show that performance expectancy (positive), openness (positive), social influence (positive), hedonic motivations (positive), generativity (positive), affordance through attitude (positive), uncertainty (positive), effort expectancy (negative) and inconvenience (negative) are the antecedents for the entrepreneurs to accept AI for digital entrepreneurship. The authors suggest that intentional improvement planning is developed by increasing entrepreneur's positive perceptions of AI affordance and explanation of its generativity and openness, and improving their attitude of using AI for digital entrepreneurship.
Originality/value
This is the first study that reveals the critical antecedents of entrepreneur's intention to accept AI for digital entrepreneurship. Relevant theoretical background, discussion, implications, limitations and future research recommendations are discussed.
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Nishtha Malik, Shalini Nath Tripathi, Arpan Kumar Kar and Shivam Gupta
This study attempts to develop a practical understanding of the positive and negative employee experiences due to artificial intelligence (AI) adoption and the creation of…
Abstract
Purpose
This study attempts to develop a practical understanding of the positive and negative employee experiences due to artificial intelligence (AI) adoption and the creation of technostress. It unravels the human resource development-related challenges with the onset of Industry 4.0.
Design/methodology/approach
Semi-structured interviews were conducted with 32 professionals with average work experience of 7.6 years and working across nine industries, and the transcripts were analyzed using NVivo.
Findings
The findings establish prominent adverse impacts of the adoption of AI, namely, information security, data privacy, drastic changes resulting from digital transformations and job risk and insecurity brewing in the employee psyche. This is followed by a hierarchy of factors comprising the positive impacts, namely, work-related flexibility and autonomy, creativity and innovation and overall enhancement in job performance. Further factors contributing to technostress (among employees): work overload, job insecurity and complexity were identified.
Practical implications
The emerging knowledge economy and technological interventions are changing the existing job profiles, hence the need for different skillsets and technological competencies. The organizations thus need to deploy strategic manpower development measures involving up-gradation of skills and knowledge management. Inculcating requisite skills requires well-designed training programs using specialized tools and virtual reality (VR). In addition, employees need to be supported in their evolving socio-technical relationships, for managing both positive and negative outcomes.
Originality/value
This research makes the unique contribution of establishing a qualitative hierarchy of prominent factors constituting unintended consequences, positive impacts and technostress creators (among employees) of AI deployment in organizational processes.
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Shalini Sahni and Rahul Pratap Singh Kaurav
The proliferation of bibliometric review articles is a true reflection of how bibliometrics is gaining popularity and has been widely adopted in various disciplines. The growing…
Abstract
The proliferation of bibliometric review articles is a true reflection of how bibliometrics is gaining popularity and has been widely adopted in various disciplines. The growing interest of scholars has encouraged us to dwell upon the what, why, when, how, and where of bibliometric literature reviews. The study explained the bibliometric review with the standpoint that it can be considered a strong review method for analyzing a large volume of data and scholars can supplement their traditional reviews with bibliometric reviews to strengthen their knowledge. This will help researchers to justify the (a) need for a study on the particular topic; (b) type or method of review chosen; (c) number of articles selected; (d) inclusion and exclusion criterion; (e) method of analysis; and (f) presentation of the findings.
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Sudhanshu Joshi, Manu Sharma, Shalini Bartwal, Tanuja Joshi and Mukesh Prasad
The study proposes to determine the impending challenges to lean integration with Industry 4.0 (I4.0) in manufacturing that aims at achieving desired operational performance…
Abstract
Purpose
The study proposes to determine the impending challenges to lean integration with Industry 4.0 (I4.0) in manufacturing that aims at achieving desired operational performance. Integrating lean and Industry 4.0 as the two industrial approaches is synergetic in providing operational benefits such as increasing flexibility, improving productivity, reducing cost, reducing delivery time, improving quality and value stream mapping (VSM). There is an urgent need to understand the integrated potential of OPEX strategies like lean manufacturing and also to determine the challenges for manufacturing SMEs and further suggest a strategic roadmap for the future.
Design/methodology/approach
The current work has used a combined approach on interpretative structural modeling (ISM) and fuzzy Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) approach to structure the multiple level analysis for the implementation challenges to integrate OPEX strategies with Industry 4.0.
Findings
The research has found that the indulgence of various implementation issues like lack of standardization, lack of vision and lack of trained support, all are the major challenges that inhibit the integration of OPEX strategies with I4.0 technologies in manufacturing.
Research limitations/implications
The research has investigated the internal factors acting as a roadblock to lean and Industry 4.0 adoption. Further studies may consider external factors to lean and Industry 4.0 implementation. Also, further research may consider other operational excellence approaches and extend further to relevant sectors.
Practical implications
This study provides the analysis of barriers that is useful for the managers to take strategic actions for implementing OPEX strategies with I4.0 in smart manufacturing.
Originality/value
The research determines the adoption challenges towards the integrated framework. This is the first study to explore challenges in integrating OPEX strategies with I4.0 technologies in manufacturing SMEs.
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Shalini Srivastava, Anupriya Singh and Shivani Bali
This paper aims to investigate the associations between organizational justice dimensions and employees' knowledge sharing (KS) while studying the mediating role of psychological…
Abstract
Purpose
This paper aims to investigate the associations between organizational justice dimensions and employees' knowledge sharing (KS) while studying the mediating role of psychological empowerment (PE) in context of the Indian hospitality industry. It is also aimed to investigate the association between KS and innovative work behavior (IWB).
Design/methodology/approach
A mediation model was verified utilizing three-wave survey data from 293 employees working in hotels situated in northern India. Hypotheses were tested using AMOS and PROCESS Model 4.
Findings
There are significant associations between justice dimensions and KS, and PE mediates these relationships. Additionally, employees' KS has a positive effect on their IWB.
Practical implications
Organizations must promote justice and psychologically empower their employees to facilitate KS. Our study also highlights the significance of employees' KS in encouraging their IWBs. HR leaders and managers have an important role in facilitating the right work environment, in which employees experience fairness and empowerment.
Originality/value
This paper is the first to investigate linkages between justice dimensions, PE, KS and IWB in context of the Indian hospitality industry. Furthermore, this study has made the maiden attempt of asserting the mediating role of PE in the relationship between justice dimensions and KS.
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Tanushree Mahato, Manish Kumar Jha, Akhaya Kumar Nayak and Neelam Kaushal
The purpose of the paper is to conduct a comprehensive bibliometric analysis and systematic review to examine the research landscape of women empowerment through participation in…
Abstract
Purpose
The purpose of the paper is to conduct a comprehensive bibliometric analysis and systematic review to examine the research landscape of women empowerment through participation in self-help groups (SHGs), identifying the eminent contributors, intellectual communities and future research agenda in the field of SHGs and women empowerment.
Design/methodology/approach
The global works of literature related to the theme of SHGs and women empowerment between 1998 and May 6, 2022 were scanned for bibliometric analysis and systematic review. A total of 176 English language documents from the Scopus database were extracted. Bibliometric analysis is conducted using Biblioshiny and VOSviewer software.
Findings
This study finds that SHGs are paramount in achieving rural women’s empowerment multidimensionally. Found that India is the most contributing country with 136 documents, and Ranjula Bali Swain and Fan Yang Wallentin are the most cited authors in the research field of SHGs and women empowerment. In addition, the paper proposes a comprehensive conceptual framework to portray rudimentary antecedents of women’s empowerment achieved through participation in SHGs.
Practical implications
This bibliometric analysis, along with a systematic review demonstrating a framework encapsulating the principal dimensions of women empowerment and their indicators, will be helpful to practitioners, government, policymakers and researchers working in the area of SHGs and women empowerment.
Originality/value
This study recognizes numerous significant contributions by eminent scholars and presents a concise review of the literature for novice researchers working in the area of SHGs and women empowerment.