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Benchmarking research has explored the role of organizational practices and business processes rooted with human capabilities for achieving growth performance. The role of high performance work system as an organizational practice and business process is yet to be studied. Even if studied, no study has been conducted on the role of training transfer climate on high performance work system and organizational performance. The current research aims at examining high performance work system on organizational performance. Further, the study also examine training transfer climate as a mediating variable between HPWS and organizational performance.

Data collected from 415 executives of a high performance-based power sector company of Gujarat, India. The survey instrument consists of high performance work system, training transfer climate and organizational performance. Confirmatory factor analysis was used for a simultaneous assessment of overall and specific elements of measurement validity and reliability. Structural equation modelling used to test the hypothesized model.

The result proved the capability of high performance work system to predict organizational performance. Further, the result supports the hypothesis that training transfer climate acts as a mediator between high performance work system and organizational performance.

The result has important theoretical and managerial implications. Theoretically, the research extends the scope of benchmarking to high performance work system. The managerial implications have been discussed from the training transfer climate perspectives.

The originality of the study lies with proving the role of high performance work system and training transfer climate as an organizational practice and business process within benchmarking research.

The study investigates the role of performance coaching (PC) and employee agility (EA) in training transfer (TT). Research reveals that initially 40% of trainees struggle to apply what they've learned, increasing to 70% after a year, resulting in just a 50% overall training success rate. Following Holton et al.'s learning transfer system (LTS) framework, much research explores the factors affecting TT in various contexts, emphasizing organizational contexts, individual factors and training design, mainly in large corporations. This research, however, delves into the influence of PC (as an organizational context) and EA (as an individual characteristic) on TT in medium- and small-scale Indian enterprises. Building on the resource-based view (RBV) theory, the study also examines how EA mediates the relationship between PC and TT.

Following LTS framework and building on the RBV theory, the survey research has been designed. Using a validated instrument, data from 411 respondents of Indian micro, small and medium enterprises (MSMEs) are analyzed using structural equation modeling (SEM) by SPSS-AMOS.

The result proved that PC and EA exert a significant and positive influence on TT. Further, the result proved that EA mediates the relationship between PC and TT.

The research is unique and original, as little research are available on the exploration of the interplay between PC and EA within the framework of MSMEs.

The presented research explored artificial intelligence (AI) application in the learning and development (L&D) function. Although a few studies reported AI and the people management processes, a systematic and structured study that evaluates the integration of AI with L&D focusing on scope, adoption and affecting factors is mainly absent. This study aims to explore L&D-related AI innovations, AI’s role in L&D processes, advantages of AI adoption and factors leading to effective AI-based learning following the analyse, design, develop, implement and evaluate approach.

The presented research has adopted a systematic literature review method to critically analyse, synthesise and map the extant research by identifying the broad themes involved. The review approach includes determining a time horizon, database selection, article selection and article classification. Databases from Emerald, Sage, Francis and Taylor, etc. were used, and the 81 research articles published between 1996 and 2022 were identified for analysis.

The result shows that AI innovations such as natural language processing, artificial neural networks, interactive voice response and text to speech, speech to text, technology-enhanced learning and robots can improve L&D process efficiency. One can achieve this by facilitating the articulation of learning module, identifying learners through face recognition and speech recognition systems, completing course work, etc. Further, the result also shows that AI can be adopted in evaluating learning aptitude, testing learners’ memory, tracking learning progress, measuring learning effectiveness, helping learners identify mistakes and suggesting corrections. Finally, L&D professionals can use AI to facilitate a quicker, more accurate and cheaper learning process, suitable for a large learning audience at a time, flexible, efficient, convenient and less expensive for learners.

In the absence of any systematic research on AI in L&D function, the result of this study may provide useful insights to researchers and practitioners.

Successful digital transformation requires a change in organisational structures, processes, capabilities and competencies. Digital transformation research is more influenced by the technology adaptation model and hence focuses on people's attitudes, behaviour and abilities. Recently, employee agility has attracted attention in the context of technology adoption and Industry 4.0. The current research explores the relationship between employee agility and digital technology adoption in the context of digital transformation by adopting the systematic literature review method.

Following the attitude–ability-behaviour–outcome framework, the research explored the specific agile ability, attitude and behaviour characteristics useful for digital transformation. Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework consisting of (1) initiation, (2) screening, (3) evaluation and (4) confirming inclusion (Ambika et al., 2023), the study identified 19 papers from SCOPUS indexed journals.

The study result found that agile attitude characteristics such as collaborative mindset, computer self-efficacy, ambiguity aversiveness, etc. are influencing the digital transformation process. Agile abilities like basic computer knowledge, previous technical experience, cognitive abilities, innovation capability, digital competence training and supporting proper knowledge management practices also influence digital transformation. Finally, agile behaviour such as relationship building, knowledge-sharing behaviour, promoting values of learning, risk-taking and experimenting, rewarding innovativeness and customer-centric innovation and displaying adaptability, resilience and commitment to change, etc. are found to drive digital transformation.

Research on workforce agility and digital transformation is scarce. The current study contributes to benchmarking research by exploring specific agile attitudes, abilities and behaviour characteristics relevant to digital transformation, especially in the era of Industry 4.0.

Human resource (HR) transformation research has not studied the role of digital HR technology and HR role in the context of Indian organisations. To address the gap, the current research aims to investigate the impact of HR role and digital HR technology on successful HR transformation. Further, the research shall investigate the mediating role of various HR roles (i.e. administrative, employee champion, change agent and strategic partner role) on digital HR technology and business outcomes.

The research used a post-positivist methodology using survey method. Data has been collected from 918 executives representing several sectors of Fortune 500 Indian companies. Validated instrument has been used and the collected data are analysed using AMOS and structural equation modelling.

HR transformation using Digital human resource technology (HRT) can significantly enhance business outcome of fortune 500 companies of India if it is mediated by different HR role (strategic, employee champion, change agent and administrative expert). The result also proved that just implementation and adaption of the Digital HRT may not guarantee HR Transformation unless HR optimise the specific role as per the need of the hour.

HR transformation research has not studied the role of digital HR technology and HR role in the context of fortune 500 Indian organisations.

Recognizing that very less number of research has been conducted on workforce agility, the current research aimed to examine the impact of organizational practices in the form of organizational learning and training, compensation, involvement, team work and information system (IS) on workforce agility. Influenced by the “Black Box” approach, the study also examined the role of psychological empowerment as a mechanism mediating the relationship between organizational practices and workforce agility.

The study has been conducted in selective Indian industries, representing manufacturing and service sector across public and private sectors. Quantitative and qualitative data have been collected from both executives and non-executives through reliable instruments validated in Indian context. Data have been analyzed using descriptive analysis, canonical correlation analysis and multiple regression.

Findings that organizational practices significantly related to workforce agility prove that organizational practices are capable of improving the agile attributes and behavior of the workforce. In detail, team work has the greatest influence on workforce agility, followed by Reward system, employee involvement, organizational learning and training and ISs. Further, the study result also proved the mediating role of psychological empowerment between organizational practices and workforce agility.

Organizations are to design practices related to organizational learning and training, compensation, involvement, team work and IS and implement them efficiently and effectively to enable agility within the workforce, as an agile workforce can only respond proactively to a volatile, uncertain, complex and ambiguous business environment. Further, the result also suggests that managers should design the organizational practices capable of enhancing psychological empowerment, as the combination can deliver better workforce agility.

The research is useful considering very less number of research on workforce agility.

The increased popularity of social media has been prompting the recruitment managers to use social media recruitment. Very little has been studied on the effectiveness of social media recruitment from the recruiter's perspective. Influenced by the diffusion of innovation theory, the study measures the usefulness of social media recruitment through various prehire and posthire recruitment outcomes. The study also used the media richness theory to examine the role of credibility and satisfaction as a mediating variable.

Data has been collected from the recruiters in the public and private sector of India. Available literature is studied to develop survey instrument validated through experts from industry and academia. Pilot study was conducted to test for any construct weaknesses. Data is analyzed using AMOS.

The study result proved that social media recruitment is significantly related to both prehire outcomes and posthire outcomes. The result also proved the mediating effect of credibility and satisfaction and suggests recruitment practitioner to emphasize on disseminating credible, relevant and sufficient information through suitable communication mode.

HR professional to be careful about the information provided through a social media recruitment method. Practitioner to establish credibility of the information to create a sense of satisfaction by the applicants toward the information. Thus, as the information becomes more credible, the attraction to the organization also increases, which in turn results in more applicants applying for the job.

This is the first quantitative study to examine effectiveness of social media recruitment under the influence of mediator – credibility and satisfaction considering the data from the recruiters.

Research on training transfer in India in general and insurance sector in specific adopting case study method is largely absent. This study aims to address this gap by adopting a case study method to explore the relationship between work context, transfer design and training transfer in an Indian Insurance company. It also examined the role of transfer motivation as a mediating variable between work context, transfer design and training transfer.

Data have been collected from a public sector insurance company using a first ever vernacularly translated learning transfer system inventory (LTSI), following the translation and back translation process. Learning and development practitioners and academicians have been consulted and suggestions related to changing the language to be compatible with the insurance industry have been incorporated. Structural equation modeling (Amos 16) has been used to test the suggested model.

The significant positive relationship of peer support, supervisory support and opportunity to use and transfer design with training transfer can be attributed to the business context of the sample organization. Interestingly, the role of performance coaching and the mediating role of transfer motivation have been rejected. This study has proved the mediating role of transfer design.

This study is the first ever study on training transfer in Indian insurance sector adopting case study method. This study has used LTSI translated in an Indian vernacular language following the translation and back translation process.

The purpose of this paper, systematic literature review, is twofold: to identify the factors influencing graduate job choice and to propose a theoretical model that can be useful for future research.

Thematic analysis of the literature available till June 2020 has been reviewed using electronic databases such as ABI/INFORM Complete, EBSCO, Emerald Insight, ProQuest, SAGE Journals, Science Direct (Elsevier), Scopus, Springer Link, Taylor and Francis Online, Wiley Online Library.

Out of more than 5,000 studies, 14 studies were found addressing the issue of career choice among graduating students. The thematic analysis result explored five themes such as internal factors, external factors, interpersonal factors, institutional factors and socio-demographic factors that can be considered critical for graduates’ career choice decision. Details of the subthemes are also identified.

Implications for practitioners have been suggested from the internal factors, external factors, interpersonal factors, institutional factors and socio-demographic factors’ perspectives. The study result can be useful for conducting future research using quantitative data on graduate job choice.

This is the first attempt to present a comprehensive picture of past studies on graduate job choice and exploring the factors influencing graduate job choice.

Recruiters’ decision to use recruitment methods (RMs) depends on several expected outcomes such as number applications, quality of applicants, speed of filling up vacancy, post joining job performance, absenteeism, commitment and satisfaction of the applicants. RMs may vary from each other in terms of its capability to communicate different type of information. The current research aims at exploring recruiter's intention to use RMs like job advertisement (JA), online recruitment (OLR) and social media in reference to several recruitment outcomes (ROs). Further, the role of information credibility and sufficiency (ICS) on recruiter's intention to use has been studied.

Data were collected from 242 recruiters from the manufacturing and service sector of India. The survey instrument consists of RMs, recruitment outcome and credibility and satisfaction that are identified following the theory of planned behavior (TPB). Confirmatory factor analysis (CFA) was used for a simultaneous assessment of overall and specific elements of measurement validity and reliability. Structural equation modeling (SEM) is used to test the hypothesized model.

The result shows that RMs significantly relates with ROs. In detail, social media recruitment (SMR) significantly relates with pre ROs and post ROs; OLR significantly relates with pre ROs and post ROs and JA significantly relates post ROs. Only JA insignificantly relates with pre ROs. The result also supports the hypothesis that ICS acts as a mediator between the influences of RMs on ROs.

The result of the study has important theoretical and managerial implications. The theoretical implication is explained from the perspective of signaling theory (ST) and elaboration likelihood model (ELM) theory.

The study is unique as multiple RMs have been studied with reference to both pre and post ROs using the data collected from the recruiters.