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The paper focuses on bridging the existing literature gap on the role of leadership in influencing employee engagement considering the advancement in technologies. With this, the author explores how the three critical elements of service-based companies' business environment-artificial intelligence (AI) success, employee engagement, and leadership are interlinked and are valuable for raising the engagement level of employees.

A purposive sampling strategy was used to select the employees working in the respective companies. The survey was distributed to 150 senior management employees but responses were received from only 56 employees making the response rate 37.33%. Consequently, an empirical examination of these 56 senior management employees belonging to service-based companies based in Delhi NCR using a survey questionnaire was conducted.

The PLS-SEM (partial least squares structured equation modelling) revealed that AI has a positive role in affecting employee engagement levels and confirmed the mediation of leadership. The magnitude of the indirect effect was negative leading to a reduction in total effect magnitude; however, as the indirect effect model has a higher R square value, the inclusion of a mediating variable made the model more effective.

This study contributes to extending the existing knowledge of the academicians about the relationship theory of leadership, AI implementation in organizations, AI association with leadership and AI impact on employee engagement. The author extends the theoretical understanding by showing that more integration of AI-supported leadership could enable organizations to enhance employee experience and motivate them to be engaged. Despite its relevance, due to the limited sample size, focus on a specific geographic area (Delhi NCR) and the constraint of only using quantitative analysis, the findings open the scope for future research in the form of qualitative and longitudinal studies to identify AI-supported leadership roles.

The study findings are beneficial majorly for organizations to provide them with more in-depth information about the role of AI and leadership style in influencing employee engagement. The identified linkage enables the managers of the company to design more employee-tailored strategies for targeting their engagement level and enhancing the level of productivity of employees. Moreover, AI-supported leadership helps raise the productivity of employees by amplifying their intelligence without making technology a replacement for human resources and also reducing the turnover rate of employees due to the derivation of more satisfaction from existing jobs. Thus, given the economic benefit and societal benefits, the study is relevant.

The existing studies focused on the direct linkage between AI and employee engagement or including artificial intelligence as a mediating variable. The role of leadership is not evaluated. The leadership enables supporting the easy integration of AI in the organization; therefore, it has an important role in driving employee engagement. This study identifies the contribution of leadership in organizations by providing the means of enhancing employee satisfaction without hampering the social identity of the company due to the integration of AI.

The purpose of this paper is to examine the meaning, in both local and international context, of the Kochi-Muziris Biennale (KMB), the first international exhibit of contemporary art in India. Kochi Biennale Foundation (KBF), which administers the KMB, identifies art as a means for transforming society, with a mission to bring global contemporary art to India and to present India’s modern art to the world. The authors further investigate the role of government sponsorship and corporate patronage in funding the KMB, and investigate how resistance through art is key to the KMB’s identity.

This study focuses primarily on published materials relating to the KMB. One of the authors attended the 2016 KMB and interviewed fellow attendees. Additionally, the authors reviewed and assessed social media postings regarding the 2016 KMB.

The authors argue that government sponsorship and corporate patronage are never solely about political or financial power. Rather, a generalized reciprocity among the three entities – corporations, the government and the artists – allows the KMB to flourish. For the artists involved, the KMB, co-founded by activist artists, sustains interest in and awareness of resistance.

Extant literature on biennales is sparse on ways in which these exhibits extend their impact beyond the art world. The authors examine issues such as India expanding its position on the world stage through art, and the implications of political resistance embraced by Indian artists on future directions for the KMB, that have heretofore been unaddressed.

Purpose of This Chapter: In the age of a hyperactive environment, organizations have to find ways to deal with the pressure of low engagement among employees. Hence, the present study aims to explore the types of participative practices for engaging employees in service sector organizations in India and to examine the level of association among the participation practices.

Design / Methodology / Approach: The primary data is extracted from the employees working in the service sector in the northern region of India. An integration of convenience and snowball sampling has been used. Finally, exploratory factor analysis has been employed to analyze the data.

Findings: The analysis emphasizes the effectiveness of engagement-oriented practices for organizations. Financial participation, consultation, and delegation enhance employee inclusion and management decision-making. These practices improve employee engagement, crucial for the well-being of healthcare staff responsible for people’s lives, aligning with the study’s objectives.

Practical Implications: This study offers insights for HRM and development practitioners to improve employee engagement through delegation and respect. Consultation enhances idea generation, reducing conflicts. Financial participation motivates and benefits both employees and management. The implications are valuable for managers and emerging economies, promoting growth through engagement-focused practices.

Originality: This study extends a clear vision to the managers of countries where the governments are trying harder to push the growth of emerging economies. Through the provision of information regarding the utilization of employee participation practices targeted at engagement, economic situations can be enhanced.

The emergence of artificial intelligence (AI) which operates through technology and digital workspace has proven to transform organisations in recent times. However, there has been key concern over its efficiency among the workforce on how it may replace human intelligence in the contemporary work environment. This study aims to investigate the drawbacks otherwise known as the dark side of AI and its effect on employee quality of work−life and organisational performance through the lens of employee capacity development in reducing its shortcomings.

This study used a descriptive research design using a cross-sectional survey approach to administer the research instrument to 1,847 customer service officers of banks, customer agents of telecoms, customer care of retail organisations in Nigeria business environment across various units were respondents of this study, however, 862 participants were finally used. A simple random strategy was used to survey the study participants, and existing scales were adopted to form a new research instrument. A partial least square (PLS) based structural equation model (SEM) was adapted to analyse the collected data from the respondents.

The outcome of the study indicated that AI lacks creativity and has a negative impact on both employee quality of work−life and overall organisational performance. The outcome of the study demonstrated the drawbacks and the dark sides of AI as lack of emotional intelligence, lack of in-depth contextual knowledge, over-reliance on data quality and lack of ethical and moral decision analysis are the possible dark side of AI which adversely affect quality of work−life and overall performance of the organisations. The study concluded that it is difficult to replace human intelligence because of AI’s drawbacks and dark side. AI cannot function effectively beyond what is programmed in the system.

This study has offered a novel trajectory against the efficiency and possible benefits of AI that people are familiar with. It has changed the understanding of the researchers, policymakers and organisations that AI cannot replace human intelligence in the workplace without improvement on those established AI dark sides.

In 2023, the New England Journal of Entrepreneurship (NEJE) reached its 25th anniversary. To commemorate this major milestone as well as entrepreneurship’s growth as an academic field, the study employs bibliometric methods to provide key trends and research suggestions for entrepreneurship scholars using all original research published in the journal.

The authors perform two predominant bibliometric techniques, performance analysis and science mapping, using all 251 articles published by NEJE from 1998 to 2022.

The authors find that the impact of entrepreneurship research published at NEJE is growing consistently and that the challenge of the future will be to maintain this growth in tandem with greater publication productivity. The authors also find that although most contributions come from authors affiliated with institutions in the USA, there is a global representation from authors who have published in NEJE. Further, the authors found that the major entrepreneurship research themes of articles published in NEJE revolve around general entrepreneurship, entrepreneurial behavior, gender, technology, entrepreneurship education, innovation and value creation and sustainability.

The analysis is restricted to articles published in NEJE and therefore may not be representative of the entrepreneurship field. However, it can serve as a useful resource, particularly for prospective NEJE authors, to gain empirical insights about entrepreneurship research trends and rising topics of interest.

The authors’ work represents the first effort to synthesize research published in NEJE through bibliometric techniques and offers insights about important trends and themes in this rising outlet of the entrepreneurship field.

This study aims to review and synthesize existing research in the field. Additionally, this study identifies emerging themes and future research opportunities based on the discussions within these studies. This research also develops a model to integrate artificial intelligence with agile human resource (AHR) practices and strives to outline potential directions for future researchers.

This study adopted a systematic literature review (SLR) and bibliometric analysis followed by content analysis through bibliographic coupling to analyze the identified literature. The SCOPUS database was used in this study, using a search string of keywords to identify the relevant research literature. The initial extraction resulted in 151 articles after adopting a series of inclusion–exclusion criteria, which led to the final attainment of 73 articles to be included for further analysis and discussion.

This study through the extant literature identified five themes and foundations of artificial intelligence in AHR practices research and developed a model for future investigation by future researchers.

To the best of the authors’ knowledge, this study is one of a kind that explores artificial intelligence within AHR practices for improved employee and organizational well-being. Thus, developing a synthesized work provides a comprehensive picture of the research domain.