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From the lens of organizational ambidexterity, the energy sector companies in India are confronted with numerous human resources (HR) challenges as they explore new avenues in the renewable sector while exploiting non-renewable (conventional) resources. This study aims to decode these challenges and identifies key competencies to address these.

Data were gathered and analysed using a sequential mixed methodology (qualitative and quantitative) in three phases. In Phase 1, a focused group discussion with eight senior management employees was carried out to identify the HR challenges and competencies required for meeting those challenges. The themes derived from this were used in designing the questionnaire for use in Phase 2 to capture the perceptual differences between HR and Line managers on these challenges. The identified competencies by senior management were prioritized using the analytical hierarchy process in Phase 3.

The study provides insight into the HR challenges in the pursuit of organizational ambidexterity by energy sector companies in India. Also, key competencies to deal with these challenges have been prescribed.

While previous studies have identified generic HR challenges in this domain, the present study is unique in decoding the HR challenges as these organizations are simultaneously exploring and exploiting energy sources for achieving excellence in the Indian context.

This paper aims to explore the student psychological contract in the post-pandemic induced hybrid mode of the academic ecosystem in residential business schools of India. The study puts forth three facets of understanding student expectations for contract fulfillment: the business school, academic staff (faculty) and peers.

Using a sequential mixed methodology (qualitative and quantitative), data were gathered and analyzed in two phases. Perceptions of students regarding their expectations were captured through in-depth semi-structured telephonic interviews. The sample comprised 64 students pursuing two years of full-time master's in management courses at four residential business schools in India. Data obtained through interviews were analyzed using thematic analysis. The themes extracted were prioritized using the analytical hierarchy process (AHP) in the second phase.

The study provides insight into the prioritized expectations of students from their peers, academic staff and the institute. The findings of the study propose that though the expectations may differ across different groups, the mutual interdependence of these groups was mandatory for contract fulfillment.

Research on student psychological contracts in the hybrid mode of business education is scarce. The study provides a holistic perspective on this from the lens of students.

Amid challenges posed by the COVID-19 pandemic, fostering employee creativity has become paramount for organizations. However, there is a scarcity of research on digitalization of the workplace and its implications for implementing high involvement work systems (HIWSs) in organizations, particularly in relation to their impact on employee outcomes, such as creativity and job satisfaction. Additionally, limited attention has been given to the role of job level and organizational type in driving change during times of adversity. This study aims to examine the factors within the HIWSs model using the PIRK model – power (P), information sharing (I), rewards (R) and knowledge (K) to explore how HIWSs shape the extent of power individuals have over their employment, the sharing of information, the types of rewards that engage and motivate employees and the knowledge required to fulfil employees’ responsibilities effectively, both individually and collectively.

Using a qualitative research methodology, this study uses thematic analysis for data collection, analysis and interpretation. Semi-structured interviews (n = 48) served as the primary data collection method. Using the theoretical lenses of high-involvement practices and employee perceptions of PIRK, the effect on employee creativity and job satisfaction is analysed.

The findings of this study reveal that employee creativity is significantly influenced by how employees perceive power, information, rewards and knowledge. Moreover, the study highlights the role of transformational and transactional leadership in shaping employee perceptions of power, information and knowledge within HIWSs. A high perception of PIRK is found to positively impact employee job satisfaction.

This study offers valuable insights for human resource management (HRM) professionals seeking to make informed decisions regarding best practices and initiatives for enhancing employee outcomes in the post-COVID era. By recognizing the pivotal role of HIWSs and their influence on employee perceptions, organizations can strategically implement HIWSs to foster creativity and job satisfaction. Furthermore, this research contributes to the existing literature by examining the interplay between HIWSs and the PIRK model in the context of workplace digitalization, emphasizing the importance of adapting HRM practices to address the evolving needs of the modern workforce.

This study will help HRM professionals in making informed decisions on the best practices and initiatives to enhance employee outcomes in the post-COVID era. This paper adds to the existing literature on HIWS and PIRK in the context of workplace digitalization.

This paper aims to explore the relationship between owner-manager or leader’s ambidextrous leadership style and its effect on human resource management (HRM) practices, contextual ambidexterity and knowledge-intensive small- and medium-enterprises (SMEs) strategic agility.

This study presents an in-depth qualitative case study analysis of two knowledge-intensive SMEs from India’s information technology and health-care products industry serving a range of global clients. Using the theoretical lenses of empowerment-focused HRM practices, ambidextrous leaders, contextual ambidexterity and strategic agility, semi-structured interview data of leaders, managers and employees of the case organizations were analysed. Through a two-staged analytical process, we abductively developed a novel conceptual framework at the intersection of the above theoretical lenses.

The findings suggest that the knowledge-intensive SME’s strategic agility, ambidexterity and empowerment-focussed HRM approach was influenced by the owner-manager or leader’s ambidextrous leadership style and their philosophy towards managing people and had a positive impact in creating a culture of trust, participation, risk-taking and openness, and led to delivering innovative products and services as well as several positive employee-level outcomes.

Recent literature reviews on HRM In SMEs highlight several gaps, including the impact of owner-manager or leader’s philosophy of managing people in shaping HRM practices and employee outcomes. This paper thus adds to the existing literature on HRM and knowledge-intensive SMEs.

Considering the swift adoption of innovative sustainability practices in businesses to accomplish sustainable development goals (SDGs), research on corporate sustainability has increased significantly over the years. This research intends to analyze the published literature, emphasizing the existing, emerging and future research directions on achieving the SDGs through corporate sustainability.

This research analyzed the growing trends in corporate sustainability by incorporating 2,038 Scopus articles published between 1999 and 2022 using latent Dirichlet allocation (LDA) topic modeling, bibliometrics and qualitative content analysis techniques. The bibliometric data were analyzed using performance and science mapping. Thereafter, topic modeling and content analysis uncovered the topics included under the corporate sustainability umbrella.

The findings indicate that investigation into corporate sustainability has considerably increased from 2015 to date. Additionally, the majority of studies on corporate sustainability are from the United States of America, the United Kingdom and Germany. Besides, the USA has the most collaboration in terms of co-authorship. S. Schaltegger was considered the most productive author. However, P. Bansal was ranked as the top author based on a co-citation analysis of authors. Further, bibliometric data were evaluated to analyze leading publications, journals and institutions. Besides, keyword co-occurrence analysis, topic modeling and content analysis highlighted the theoretical underpinnings and new patterns and provided directions for further research.

This study demonstrates various existing and emerging themes in corporate sustainability, which have various repercussions for academicians and organizations. This research also examines the lagging themes in the current domain.

This study aims to present systematic analysis of research concerning the intersection of human resource management (HRM) and the integration of artificial intelligence (AI) technologies within a digitalized economy further analyzing the trends in research with specific emphasis on utilization of diverse AI technologies within HRM.

This research is based on bibliometric analyses and content analyses. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses review methodology is implemented, using the Scopus database as the primary source which gathered 1,414 articles between 1978 and 2024. This study investigates publishing trends, the most prolific countries, universities, journals, publications and authors in the field. Further, the research trends based on the use of AI in HRM were accomplished through scientific mapping using VOSviewer.

The outcomes demonstrate a rising inclination toward using various AI techniques in HRM which shows increasing influence and growing appeal of the subject. The research uncovers the deployment of diverse technologies, including emerging ones, within the HRM field. It accomplishes this by scrutinizing the connections among various keywords and unearths both contradictions and focal areas of interest within the domain.

The study contributes to the existing body of literature by ascertaining suggestions for further research in the field of HRM integrated with various AI technologies. The integration of these technologies in HR holds a promising and optimistic outlook for the managers, thereby enhancing employee productivity.

This study aims to provide insight into consumer behavior regarding the use of food delivery apps when making purchases. To investigate the primary elements affecting users' intentions to use meal delivery applications, this study suggests an extension to the technology acceptance model through some contextual variable such as “various food choices (VFC),” “trust (TRR),” “perception of COVID-19-related risks (PCR)” and “convenience (CONV)” during the pandemic.

A cross-sectional data of 407 was collected in the Indian context. This research adopts the covariance-based structural modeling approach to test the hypotheses along with hierarchical regression to predict the efficiency of constructs.

Considering the outcomes, “perceived usefulness (PU)” was positively influenced by “perceived ease of use (PEOU),” “VFC” and “CONV.” In addition, the attitude (ATT) was positively impacted by “PU,” “TRR” and “PEOU.” Nevertheless, “PCR” negatively influenced ATT. In additional, this research illustrates the positive impact of ATT and PU on behavioral intention to use.

By confirming the technology acceptance model's capacity for explanation in relation to food delivery apps, this study adds to the body of knowledge. The primary focus of this study is on determining the direct impact of the identified determinants on the adoption of food delivery applications within the context of a pandemic situation in developing countries.

The purpose of this paper is to explore use of community treatment orders (CTOs) in adults with intellectual disability (ID) and mental health problems across England and Wales.

A web-based exploratory survey was sent to 359 consultants on the database of the Faculty of the Psychiatry of ID, Royal College of Psychiatrists who had declared ID as their main speciality. Socio-demographic details of responding consultants, clinical characteristics of adults with ID on CTO, subjective views of consultants on using CTOs in people with ID were collected and analysed.

In total, 94 consultant questionnaires were returned providing information on 115 patients detained under CTO. More than 75 per cent of the respondents had used CTO in their clinical practice. Patients subject to CTO were generally young, white males with mild ID and living in supported accommodation. CTOs were primarily used in situations of non-engagement (52.2 per cent), non-compliance with medication (47 per cent) or non-compliance with social care supports (49.6 per cent).

Responding consultants expressed concerns about encroachment of civil liberties and ethics of using CTOs in people with ID who may lack capacity and stressed that decision to use CTOs needs to be therefore done on individual basis.

This is the first national study to examine the practice of applying CTOs in adults with ID and mental disorders. Current practice is based on evidence from research done in adults with normal intelligence. Further research is needed to investigate the utility of CTOs in routine clinical practice in adults with ID and mental disorders.

In this paper, community identification has been considered as the most critical task of social network analysis. The purpose of this paper is to organize the nodes of a given network graph into distinct clusters or known communities. These clusters will therefore form the different communities available within the social network graph.

To date, numerous methods have been developed to detect communities in social networks through graph clustering techniques. The k-means algorithm stands out as one of the most well-known graph clustering algorithms, celebrated for its straightforward implementation and rapid processing. However, it has a serious drawback because it is insensitive to initial conditions and always settles on local optima rather than finding the global optimum. More recently, clustering algorithms that use a reciprocal KNN (k-nearest neighbors) graph have been used for data clustering. It skillfully overcomes many major shortcomings of k-means algorithms, especially about the selection of the initial centers of clusters. However, it does face its own challenge: sensitivity to the choice of the neighborhood size parameter k, which is crucial for selecting the nearest neighbors during the clustering process. In this design, the Jaya optimization method is used to select the K parameter in the KNN method.

The experiment on real-world network data results show that the proposed approach significantly improves the accuracy of methods in community detection in social networks. On the other hand, it seems to offer some potential for discovering a more refined hierarchy in social networks and thus becomes a useful tool in the analysis of social networks.

This paper introduces an enhancement to the KNN graph-based clustering method by proposing a local average vector method for selecting the optimal neighborhood size parameter k. Furthermore, it presents an improved Jaya algorithm with KNN graph-based clustering for more effective community detection in social network graphs.

The purpose of this paper is to investigate how employer brand experience (EBE) impacts organizational citizenship behavior (OCB). In addition, it aims to identify the mediating role of employee engagement (EE) in relationship between EBE and OCB.

To test the research hypotheses, a web questionnaire was developed and data were collected from 426 respondents working in the Indian banking sector. Hypotheses were tested using structural equational modeling.

EBE was positively related to OCB. The predicted mediating role of EE in the relationship between EBE and OCB was also supported.

The study is confined to the banking sector only, which limits the generalization of the findings.

The results imply that firms should leverage on various dimensions of employer brand (EB) i.e. compensation, work–life balance, working environment, training and corporate social responsibility to enhance EE and OCB.

The research is among the very few to confirm the role of EBE vis-à-vis current employees especially in a collectivist society like India. The study also confirmed the mediating role of EE between EBE and OCB which have not been studied previously.