Purpose : The purpose of the study was to investigate how entrepreneurs form the team, collaborate, and exit during the venture inception, venture development, and venture decline phases. Design/Methodology/Approach : The present research employed a qualitative methodology, specifically a Systematic Literature Review, in the context of entrepreneurship. Findings : The study found that the “entrepreneurial team’s life cycle” was embedded in every phase of the venture life cycle, i.e., venture inception, venture development, and venture decline, where entrepreneurial team members experienced different events in each phase of the venture. Practical Implications : Occurrences of conflicts among entrepreneurial team members would enable founding members to adopt conflict resolution strategies for resolving conflicts with ease, leaving less impact on business performance during the team development and venture development stages. Originality : The study identified unexplored research areas in entrepreneurship, including entrepreneurial team task allocation and conflict management, opportunity evaluation and recognition, team member exit and its impact on venture development, and team behavior during the venture decline phase.
Purpose : This study explored the factors affecting gig workers in developing economies by focusing on stress resilience, mental health, and work performance of gig workers. Methodology : The study adopted a quantitative, explanatory research design employing purposive sampling. A total of 401 questionnaires were distributed via social media groups associated with gig work platforms, of which 351 were completed and returned, providing the final dataset for analysis. The instrument included established and validated scales to assess burnout, job demand, boundary management, digital overload, resilience, work engagement, gig-specific factors, and job performance via Smart-PLS. Findings : The findings revealed that job demands, together with digital overload, contributed to burnout, while job resources had a significant impact on work engagement compared to boundary management enhancement. Additionally, gig-specific factors and resilience significantly enhanced the performance of gig workers. Practical Implications : The results clearly indicated that organizations need to monitor job demands and manage digital overload to mitigate burnout among gig workers. To strengthen job resources like fair policies, optimizing work engagement, and retraining support for individual well-being, policymakers should address these issues well. Platform and HR Practitioners should introduce training modules to improve workers’ resilience and work–life balance as well as job performance. Organizations could create a healthy work environment and improve productivity by addressing these aspects. Originality : Unlike prior research on gig work, this study provided not only a theoretical understanding but also a practical perspective on the long-term consequences of gig workers’ burnout, work engagement, and job performance, while drawing attention to platform companies’ approach toward gig work. Contribution : This study contributed to extending the JD-R model by integrating elements of digital overload and job demands as antecedents influencing burnout. Resilience is an important resource, demonstrating that job resources have a significantly greater impact on performance outcomes than boundary management. The research conceptually advances the existing model.
Purpose : The paper explored the time-varying interconnectedness among the Brent crude oil, Indian Rupee, and Nifty50 using the high-frequency data during the Ukraine crisis. Methodology : The study applied the Dynamic Johansen Cointegration, Wavelet Coherency, and Markov Regime-Switching GARCH model on high-frequency data from June 2021 to June 2022, to capture the long-run and time-frequency dynamics, and regime-dependent volatility patterns. Findings : The results of the study indicated the long-term association of oil with the Indian Rupee and Nifty 50, particularly during the Ukraine crisis. Moreover, the wavelet coherency found the co-movement at the lower scales at the time of crisis. The Markov regime found that volatility was higher in the regime of crisis. Practical Implications : The results have crucial implications for intraday traders, algorithmic investors, and policymakers, as the study established the transmission of shocks from oil markets to financial markets during periods of geopolitical crisis. The knowledge and understanding of such dynamics could be critical in risk management and policy responses. Originality : The study contributed to the literature by integrating time–frequency analysis and regime-switching volatility modeling with high-frequency financial data to examine the interconnected dynamics of oil prices, exchange rates, and stock markets during a geopolitical crisis.
Purpose : This study focused on the effective mechanism of GST as per the views of practicing tax professionals on curbing the circulation of black money and tax evasion in India. Design/Methodology/Approach : For this study, 47 tax professionals (chartered accountants, tax advocates, and company secretaries) were enrolled using purposive expert sampling. The researchers used a quantitative cross-sectional survey design to collect data in January and February 2025. Descriptive statistics, Pearson correlation analysis, and independent variables were used in the data analysis. Findings : The findings indicated that GST achieved only partial success in reducing black money. Real estate remained the most vulnerable sector (M = 3.77). Cash transactions and fake invoicing were the most common evasion methods, and they were correlated with shell companies (r = 0.722). Invoice matching, rated most effective (M = 3.75), showed alignment with e-way bills (r = 0.782). Portal glitches and input tax credit (ITC) errors were key compliance challenges. No significant group differences suggested perceptions reflected objective system performance. Practical Implications : To harness the full anti-evasion potential of GST, targeted digital infrastructure, sector-specific property reforms, and integrated network analysis to detect collusion will be required. Originality/Value : Studies have examined GST’s influence on black money in India. Among the first studies, four experts investigated the effects of GST on black money among tax experts using well-tested, well-recognized statistics.
Purpose : The purpose of this study was to identify, structure, and examine the causal dominance of critical success factors underlying marketing intelligence using a multi-method analytical framework. Methodology : With reference to the growing importance of marketing intelligence for intelligent marketing, this study conducted an extensive literature review (N = 152) and identified 29 critical success factors of marketing intelligence. Further data was collected (n = 256) for principal component analysis and (n = 13) for employing fuzzy DEMATEL. Findings : The results of principal component analysis segmented the 29 dimensions into 7 corresponding factors. Further, fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory) was employed to establish Strategic Marketing Planning (SMP), Strategic Business Intelligence (SBI), Customer Brand Co-Creation (CBC), Tactical Marketing (TM), and Strategic Customer Intelligence (SCI) as cause factors, and Competitive Intelligence Analysis (CIA), Digital Dynamism (DD) as effect factors. Originality : This study offered a novel multi-method investigation by integrating the PRISMA framework, PCA, and Fuzzy DEMATEL to identify cause and effect dimensions and enhance system-level understanding of marketing intelligence implementation.
Purpose : This study examined the relationship between Dark Triad personality traits and counterproductive work behavior (CWB) in the pharmaceutical industry, while also exploring the mediating role of workplace incivility (WI) and the moderating role of servant leadership (SL). Methodology : A cross-sectional survey design was employed to collect data from 409 participants, and the data were analyzed using structural equation modeling. Findings : The findings revealed that Machiavellianism, psychopathy, and narcissism were significant predictors of CWB, with WI partially mediating these relationships. SL also moderated these associations, influencing the strength of the link between dark traits and CWB. Implications : The results suggested that pharmaceutical organizations should incorporate personality risk assessments, strengthen SL capabilities, and implement practices that reduce WI. Originality : This study contributed by integrating personality traits, workplace dynamics, and leadership perspectives into a comprehensive and unified framework.
Purpose : This research assessed the technical efficiency (TE) and resilience of the key Indian public sector banks under normal and abnormal circumstances. Design/Methodology/Approach : The study is an empirical quantitative research using secondary data from 2012 to 2023. We calculated TE using the input-oriented constant return to scale model of data envelopment analysis (DEA). We also developed two indicators for measuring the impact of disruption and recovery, representing the short-term effects of shocks and recovery. We validated the results using various statistical methods. Findings : The study revealed that the State Bank of India was fully and continuously efficient with high resilience against shocks. The Bank of Baroda had complete resilience, while the Punjab National Bank remained poor. Other banks had moderate resilience with some stability. Practical Implications : The findings highlighted the importance of governance quality, asset management, and digital preparedness in strengthening resilience. They also offered insights to regulators and policymakers to regulate stability and resilience in banking. Originality/Value : The study provided a new insight into efficiency measurement with the inclusion of resilience in the form of two new measures that capture the impact of short-term shocks and long-term recovery, respectively.
Objective : The purpose of this investigation was to identify issues faced by institutions during the implementation of the 2020 National Education Policy (NEP) and, more specifically, to list a variety of operational issues, such as governance issues, curriculum redesign issues, issues with the current assessment systems, and issues with resources. The study also addressed some larger-scale challenges facing higher education in India (such as the inequality currently existing in different regions of India, the digital divide that exists currently, and the equity and inclusion concerns). Methodology : This investigation utilised a qualitative method. The investigation analyzed both the policy itself and the practical experiences of the implementers. Findings : The findings of the investigation showed that there are many obstacles to implementing the NEP (such as resistance to change; very rigid departmental structures; minimal or no interaction between academia and industry; and poor alignment between the accreditation frameworks utilized to assess quality). Additionally, the study found that institutions experience challenges when it comes to revising curricula, schedules, and developing flexible entry/exit points. Finally, the study identified some universal problems that may hinder an institution’s ability to achieve the transformative vision of the NEP (such as inequity; mental health issues experienced by students and staff; and lack of adequate infrastructure). Originality : The original contribution of this study is represented by the development of a single framework that allowed us to examine the operational, cultural, and systemic challenges that universities face when they implement the NEP. Additionally, the study stressed upon the importance of the commitment required from professors as well as the leadership and the emotional connection as key factors to sustain the reform process, thus providing a holistic approach to apply the NEP and to go beyond the mere technical application of the policy.
Purpose : Work passion (WP) inspires employees to discover more profound meaning and fulfilment in their careers. However, is there a dark side to WP? This paper aimed to explore the answer to this question and test the mediating role of employee well-being in the relationship between WP and perceived performance. Design/Methodology/Approach : We employed a quantitative survey method, and 107 executive-level leaders, referred to as CXOs, participated. We administered the WP Scale, developed by Vallerand et al. (2003), further modified to suit the workplace by Ho et al. (2011), the Employee Wellbeing Scale developed by Pradhan and Hati (2019), and the Perceived Performance Scale developed by Karneli et al. (2015) for collecting data. We used Process MACRO (Model 4) for mediation analysis. Findings : The conclusions of the study indicated that while obsessive passion (OP) had a negative impact on workers’ well-being, harmonious passion (HP) had a positive influence on employee well-being. Both HP and performance, as well as OP and performance, were mediated by well-being. HP positively impacted performance, while performance was negatively impacted by OP. Practical Implications : The findings have numerous advantages for executive-level leaders, allowing them to strengthen employee well-being and organizational performance. They should first concentrate on creating a positive environment at work that encourages an HP. Second, the adverse impacts of OP on performance and well-being can be minimized by using programs designed to promote mental health, such as stress management tools and wellness initiatives. Originality/Value : This paper added to the body of research and knowledge by distinguishing between the different types of consequences (both positive and negative) of WP on employee well-being and performance. Organizational leaders, particularly CXOs, can gain insights from the paper’s contributions regarding the significance of creating a supportive work environment that maximizes HP and prevents obsessive behavior.
Purpose : Transformational leadership is widely recognized for its positive influence on employee outcomes, including readiness for change. However, little is known about the specific mechanisms by which perceived organizational support (POS) and employee cognitive engagement (ECE) function in the context of Industry 5.0. Methodology : The theoretical foundation was based on the dynamic capability perspective and social cognitive theory. The data were collected via a structured online survey shared with employees from various organizations based in the UAE. IBM SPSS was used to conduct simple regression analysis, while AMOS was used to perform SEM. Findings : The findings revealed that transformational leadership had a significant positive influence on employee readiness for Industry 5.0, with the double mediation roles of POS and ECE in the relationship. Practical Implications : The study provided insights for leaders, organizational practitioners, and policymakers, highlighting the importance of engagement and supportive environments and engaging employees cognitively to navigate the complexities of this transformative era. Originality/Value : This article is the first to offer empirical insights into a set of relationships among transformational leadership, employee readiness, POS, and ECE. Moreover, this study contributed to the literature on organizational behavior, leadership studies, and change management by proposing a conceptual framework that explained readiness for change in the context of Industry 5.0.
Purpose : This paper aimed to examine the mediating effect of awareness and attitude between social media platforms (SMP) and purchase intention of young consumers toward sustainable fashionable products. Methodology : A survey was conducted to collect data using a self-structured questionnaire among young consumers of India using convenience sampling. The hypotheses framed were tested from the collected data through the questionnaire filled out by 332 users of SMP. The measurement model was tested through the structural equation modeling technique with smart partial least square 2.0 software for assessing the impact of drivers of SMP on their credibility, awareness, attitude of young consumers, and their purchase intention. Findings : The results indicated that SMP had a significant positive influence on awareness and attitude toward sustainable fashion products (SFP). The analysis also demonstrated that awareness and attitude had a significant impact on purchase intention toward SFP, but attitude did not mediate the relationship between SMP and purchase intention; whereas, awareness had a significant partial mediating effect. Implications : The study is relevant for the marketers of SFP; they can use the obtained results to improve various drivers of SMP to create awareness, attract new customers, and to retain existing customers. Government organizations and policymakers could develop policies toward environmentally friendly products using the results. Originality : This study explored the influence of SMP on purchase intention and the mediating impact of attitude and awareness between SMP and purchase intention in the context of fashion products in India.
Purpose : As India envisions becoming a developed nation by 2047, it is imperative to match global higher education standards by improving the quality of training and engagement of faculty members. Hence, this study aimed to create a novel model empirically testing the relationships among psychological climate (PC), job crafting (JC), and work engagement in higher education. Methodology : The cross-sectional data were collected from a sample of 442 academics employed in 32 universities in India. Partial least squares structural equation modeling was applied to investigate the proposed conceptual model in higher education institutions. Findings : PC directly predicted JC and work engagement. JC positively and significantly mediated the PC-work engagement association. A positive PC triggered the job-crafting behavior of academics, enabling them to go the extra mile and demonstrate high levels of work engagement. Practical Implications : When academic institutions emphasize enhancing the PC, academics perceive that their well-being is a matter of concern, and they reciprocate by improving their teaching and research-related activities through JC, further leading to an augmented level of work engagement. Originality : This study offered a novel model at the disposal of the higher education sector to have suitable policies nurturing the PC of academics, leading to JC and work engagement, which could be a key contributor to the sustainable development of the Indian higher education sector.
Purpose : Social networking has had an immense influence on entrepreneurial success. The present study examined the mediating effect of social networking on the associations between motivation and personality factors, as well as financial access among startups in India. Methodology : A cross-sectional quantitative survey was conducted in the Bangalore and Delhi NCR regions of India to collect data from 376 entrepreneurs. The data were analyzed via SmartPLS 4 software. Findings : The results indicated that social networking had a substantial influence on financial access in entrepreneurial startups. Personality traits, such as neuroticism, had a direct effect on social networking and financial access. Social networking mediated the relationship between neuroticism and access to finance. Practical Implications : Entrepreneurs should improve their social networking ties and connections and leverage them strategically to obtain more funds. Originality : This study examined the combined effects of the motivational and personality factors of entrepreneurs, which is unique to social networking and financial access in start-ups. It contributes new knowledge to the entrepreneurial literature, especially in the Indian context.
Purpose : The study focused on identifying the research trends in artificial intelligence applications in human resource management. It highlighted notable contributions to the research domain. Research Method : The study conducted a bibliometric analysis on the Scopus database to understand the growth of literature over the last two decades and identify significant contributors. Since the study aimed to examine the recent developments in the human resource function concerning artificial intelligence, the research work from the last two decades was analyzed. Findings : The paper highlighted the growth of literature on AI implementation in HRM after 2018 and the participation of different countries in the research domain. However, it found a lack of collaboration among authors from different countries. The research also identified important keywords, highly cited authors, and the impact of prominent journals in the field, which could help scholars investigating the domain. Originality : The study is unique in itself as it considers an extensive range of literature. The paper identified key papers, authors, and countries in the field. Additionally, we highlighted major themes within the literature, revealing commonly studied subtopics.
Purpose : Tax payment is a legal responsibility of every qualified citizen, though it is without a compensatory benefit. Hence, there is a need to explore all incentives that possibly reduce the taxable income and tax liability of potential taxpayers. This study inspected the financial literacy and tax antagonisms of the academic staff of private universities in Nigeria. Methodology : A descriptive research design was used, and the theory of well-being was explored. The study population was 12,086 staff, out of which a sample of 387 was selected. Four hundred five-point Likert scale questionnaires were distributed among respondents, and 215 were retrieved. Findings : A significant outcome indicated that only the national housing fund was noteworthy. The study found that financial literacy was not a determining factor of tax antagonism among academic staff in private universities in Nigeria and suggested that proprietors of private universities in Nigeria should encourage financial education among their academic staff. Practical Implications : It was endorsed that proprietors of private universities in Nigeria should enlighten their staff on tax incentives that can be explored to lessen the effect of high taxes on their staff. Originality : This study has contributed to the extant literature as it successfully explored legal means enshrined in Nigeria’s Finance Act 2021 for individual tax reduction. It required private university staff to explore tax reductions available to reduce their tax liabilities.
Purpose : This study investigated the role of artificial intelligence (AI) in hybrid learning (HL) and its contribution to sustainable development using bibliometric analysis and systematic literature review. It also analyzed the antecedents, decisions, and outcomes associated with AI in HL. Design Methodology : The study utilized data from 144 Scopus-indexed articles from 2010 to 2024. The R-studio software was used to generate tables and figures, providing insights into research trends. Findings : The findings indicated that the UAE emerged as a leader in research on AI in HL and sustainable development, followed by Germany and Malaysia. The Institute of Electrical and Electronics Engineers was the top publisher with 22 papers, while Springer ranked second with 20 publications. The most frequently used keywords across the literature are “e-learning” (60 occurrences) and “sustainable development” (56 occurrences). Practical/Social Implications : These findings highlighted the increasing significance of AI-driven HL and its potential to encourage sustainable educational practices on a global scale. Originality/Value : This study provided an in-depth analysis of AI applications in HL, emphasizing their role in advancing sustainable development. It identified key trends, leading authors, publication patterns, and research gaps to support future research endeavors.
Purpose : The objective of the paper was to synthesize primary research related to the impact of artificial intelligence (AI) on creative innovation in organizations. As companies in different sectors digitally transform, AI has the potential to improve efficiency, along with being a catalyst for creative innovation, from product ideas and design to challenge mitigation and business model evolution. By an extensive review of literature, this paper presented how AI-driven platforms, tools, and processes challenge traditional processes, foster creativity, and reshape innovation. Methods : The study is a systematic review of 14 peer-reviewed articles from 2020 to 2025. Scopus and Google Scholar were used for searching the relevant articles on contemporary trends in AI-driven innovation. Significant Findings : AI enables significant changes to knowledge work, the ideation process, and creative workflow by augmenting human talent, not just automating tasks. Organizational structures were inclining toward digital integration, agility, and cross-functionality; however, creative confidence is driven by AI. Research revealed that AI enhances both incremental and disruptive innovation, and to realize these advantages, continuous talent development and responsible governance are required. Novelty : Unlike other reviews, this paper exclusively focused on recent articles to provide a comprehensive, cross-sectoral, and current view. Its novelty is in the multilevel framework that connects technological, managerial, and cognitive aspects in AI-supported creative practice. Implications : For policymakers and practitioners, leveraging AI’s creative potential requires continuous upskilling, investment in digital infrastructure, and ethical governance. Researchers should explore innovation parity, longitudinal creative impact, and social dynamics in future research.
Purpose : The study analyzed the effectiveness of selected state-run skills development schemes, particularly the socioeconomic impact of the selected skill development schemes on beneficiaries. Methodology : The study conducted a questionnaire-based survey of 655 respondents who attended the skill development programs (SDPs) during the sample period. PLS-structural equation modeling (SEM) was adopted to examine the performance of SDPs, the hypothesized relationship among the dependent variables, i.e., income attainment, educational attainment, employability, entrepreneurship, work performance, and challenges to the implementation of SDP and skill attainment as the independent variable. Findings : We found that SDPs are not sufficiently blended with employment opportunities to enhance their effectiveness by enhancing industry collaborations and career counselling in these programs, which can increase placement rates. There is a significant need to raise awareness and improve the implementation of skill development initiatives to maximize their reach and impact, especially for women. The region’s industrial profile should be considered when customizing skill programs at the state level to ensure that training meets the unique requirements of regional industries. Practical Implications : The study recommended that SDPs must be integrated with available employment opportunities to make them more effective. An SDP must be evaluated for different motives from all stakeholders, primarily industry, trainees, government, civil society, and especially workforce market requirements, which are crucial. Our study is not free from limitations and allows scope for future researchers, whether these include differences in the design and assessment models of the other state-run SDPs and diversity in multiple regional and cultural contexts, requiring localised understanding. Originality : The study represents path-breaking research for the state of Haryana and has implications for the proposed skill development policy of the Government of India.
Purpose : This study examined how the Big Five personality traits influenced social entrepreneurial intentions among tourism entrepreneurs through three mediators—empathy, moral obligation, and social entrepreneurial self-efficacy (SESE). It explored two pathways: embedding social goals in existing ventures (IVSI) and creating new social enterprises (NSVI). Methodology : Data from 324 entrepreneurs with at least one year of business experience were analyzed using partial least squares structural equation modeling (PLS-SEM) to assess measurement validity, structural relationships, and predictive power. Findings : Openness, agreeableness, extraversion, and conscientiousness positively fostered empathy, moral obligation, and SESE, while neuroticism exerted negative effects. These mediators significantly predicted IVSI and NSVI. SESE was the strongest predictor, whereas empathy and moral obligation were more influential for NSVI. The model showed strong explanatory power. Practical Implications : The results emphasized personality-based mentoring, self-efficacy training, and supportive policies to strengthen hybrid models, aligning economic viability with community impact. Originality : This study advances the literature by integrating personality traits (distal factors) with empathy, moral obligation, and SESE (proximal factors) into a dual-path model of social entrepreneurial intention in tourism. By differentiating between embedding social objectives in existing businesses and creating new ventures, it offers a nuanced understanding of how incumbent entrepreneurs pursue social goals, contributing both theoretical depth and practical relevance to the field of tourism social entrepreneurship.
Purpose : This study examined the strategic growth dilemma faced by the Purandar Highlands Farmer Producer Company (FPC), a farmer-led agri-enterprise producing GI-tagged figs and value-added products. The case explored whether the company should deepen its domestic presence or scale internationally to achieve long-term sustainability. Design/Methodology/Approach : The study followed a qualitative single-case approach based on a semi-structured interview with the company’s founder, supplemented by secondary data from company records, media articles, and policy reports. Strategic tools such as SWOT analysis and Ansoff’s Matrix were applied to interpret the firm’s growth pathways. Findings : The findings indicated that PH-FPC faced distinct opportunities and risks in domestic and international markets. While the Indian market offered logistical ease and stronger farmer integration, global expansion provided higher margins and branding potential but required regulatory readiness and capital investment. A phased hybrid expansion strategy emerged as the most appropriate solution. Practical Implications : The case offered actionable insights for farmer-led organizations, policymakers, and agri-FMCG entrepreneurs on scaling GI-tagged produce. It also contributed to understanding operational bottlenecks and branding challenges in the rural-to-retail value chain. Originality/Value : The study added to the limited literature on rural entrepreneurship and FPO-based growth strategies in the Indian agri-FMCG sector. It uniquely connected farmer collectives, GI-based branding, and strategic management decisions.
