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Employment exchanges have been playing a significant role in the worldwide labor market for more than a hundred years now. In India, since 1946, millions of aspiring Indian youths have registered themselves with the government-run employment exchanges to find a job. About four million job seekers got registered at 1,000 employment exchanges in India, it is important to analyze the placement statistics of these exchanges. In recent years, new methods of job search have evolved. This study examines whether employment exchanges are effective in the changed scenario?

Using state-level employment exchange data for the period 2010–2011 to 2019–2020, this study analyzes the determinants of job placement at employment exchanges in India. A critical analysis of the functioning of employment exchanges along with recommendations to improve the job search ecosystem in India is also presented in the study.

This study found that increased share of service sector in the state economy negatively impacts placement at employment exchanges.

The absence of focus on the service sector requires policy intervention if Indian employment exchanges are to remain relavant.

The government administration should rethink that ignoring service sector employment potential is unaffordable for an emerging economy and employment exchanges should be aligned accordingly.

About 30 million people are unemployed in India. If employment exchanges are transformed, it can have far-reaching socio-economic advantages.

This study is the first sub-country level study on the institution of employment exchanges. This study comprehensively maps the landscape of career services in India. Empirically establishing the impact of sectoral structure of economy on efficacy of employment exchanges, and makes the case for policy intervention that is needed to keep the employment exchanges relevant in India.

Generative artificial intelligence (GAI) can disrupt how consumers search for information on retail products/services online by reducing information overload. However, the risk associated with GAI is high, and its widespread adoption for product/service information search purposes is uncertain. This study examined psychological drivers that impact consumer adoption of GAI platforms for retail information search.

We conducted 31 in-depth, semi-structured interviews with the lead GAI users regarding product/service information search. The data were analysed using a grounded theory paradigm and thematic analysis.

Results show that consumers experience uncertainty about GAI’s functioning. Their trust in GAI impacts the adoption and usage of this technology for information search. GAI provides unique settings to investigate potential additional factors, leveraging UTAUT as a theoretical basis. This study identified three overarching themes – technology characteristics, technology readiness and information characteristics – as possible drivers of adoption.

Consumers seek exhaustive and reliable information for purchase decisions. Due to the abundance of online information, they experience information overload. GAI platforms reduce information overload by providing synthesized and customized product/service search results. However, its reliability, trustworthiness and accuracy have been questioned. The functioning of GAI is opaque; the popular technology adoption model such as UTAUT is general and is unlikely to explain in totality the adoption and usage of GAI. Hence, this research provides the adoption drivers for this unique technology context. It identifies the determinants/antecedents of relevant UTAUT variables and develops an integrated conceptual model explaining GAI adoption for retail information search.

This paper aims to explore the capabilities of virtual reality (VR) and augmented reality (AR) in enhancing the tourism experience and addressing physical travel constraints.

A survey was conducted among 412 tourists who had used VR and AR technologies for tourism purposes. Data was analysed using descriptive statistics, multidimensional scaling, multiple regression analysis, structural equation modelling and mediation and moderation analysis.

VR and AR enhance tourism via immersive experiences. They overcome traditional travel barriers, but accessibility concerns, like cost, persist. The perceived potential of these technologies strongly predicts future adoption, emphasising the need to highlight their immersive benefits.

This study offers ground-breaking insights into VR and AR in tourism. It acknowledges inherent limitations in accessibility, with VR and AR technologies not being universally adoptable due to costs and complexity. Theoretically, the research enriches academic discourse by highlighting the pivotal role of perceived potential in technology adoption. It also delineates the intricate relationship between VR/AR experience, satisfaction, destination image and revisit intention.

The findings emphasise crafting immersive VR and AR experiences for differentiation. By integrating these technologies into strategic marketing, organisations can enhance customer satisfaction and provide richer destination experiences.

The research underscores VR and AR’s potential to foster inclusive tourism, benefitting those with limitations. Additionally, promoting cultural exchange and sustainability, these technologies can drive societal harmony and contribute to economic growth through enriched tourism experiences.

This study stands out in its distinctive exploration of VR and AR in the tourism domain. The innovation lies in its comprehensive examination of the technologies’ immersive capabilities and their accessibility challenges. The value is accentuated by its insights, which bridge the gap between technological potential and its practical application in tourism.

This study aims to analyse the outcomes of Indian insolvency proceedings for their ex-post economic efficiency. Ideally, insolvent yet viable companies should witness resolution, whereas insolvent-unviable companies should be liquidated. This study aims to ascertain the key forces that ensure or prevent the application of the first part of this maxim in practice.

The study uses logistic regression on a sample of 320 corporate insolvencies (out of 942 insolvencies) reported under the Insolvency and Bankruptcy Code (IBC), 2016. Two-stage least squares regression is used to check endogeneity issues.

The results claim high levels of rationality from the financial creditors and acceptable levels of viability from the plan proposers for precluding liquidation of insolvent yet viable companies. The findings reveal that an excess of value from resolution over that from liquidation, controls the outcomes of insolvency proceedings. Further examinations indicate that financial creditors’ focus on upfront recovery prevents them from judging the plans on other viability-related factors. Based on the findings, this study recommends that IBC must focus on the importance of both long-term recovery rates and resolution.

To the best of the authors’ knowledge, this is one of the first studies to empirically analyse Type 2 efficiency-related errors prevalent in the Indian insolvency proceedings since the enactment of its new code. The empirical explorations offered in this research can prove to be unique for policy-making.

Drawing on the integrative perspective of the technology acceptance model (TAM) and theory of planned behaviour (TPB) and extending it further by examining the role of organisational facilitators and perceived HR effectiveness in this integrative perspective, we examine HR professionals’ AI-augmented HRM (HRM^(AI)) acceptance in this research.

The data (N=375) were collected from HR professionals working in different organisations in India. Structural equation modelling (SEM) was employed to analyse the data.

The results of the study suggest that along with organisational facilitator antecedents to the relevant components of both TAM and TPB, perceived HR effectiveness also enhanced the HRM^(AI) acceptance levels of HR professionals.

The research findings are expected to contribute to the understanding of the factors that influence the acceptance of AI-augmented HRM in organizations. The results may also help organisations to identify the facilitators that can enhance the adoption and implementation of AI-augmented HRM by HR professionals. Finally, the study provides a composite TAM-TPB theoretical framework that can guide future research on the acceptance of AI-augmented HRM.

To the best of our knowledge, this is one of the first attempts to factor in the effect of contextual factors (i.e. organisational facilitators and perceived HR effectiveness) in the TAM and TPB equations.

The purpose of this study is to determine the enablers of the quality of work life (QWL) of employees working in the Garment industries.

The study was carried out in a fivefold step. In the first step, the enablers of QWL were identified through an exhaustive literature survey, in the second step identified vital few components through Pareto analysis. Then the third step was followed by exploratory factor analysis (EFA) to further, to identify the precise components and validate the same using confirmatory factor analysis in fourth step. The final step included interpretive structural modeling and Cross-Impact Matrix Multiplication Applied to Classification analysis to model the validated components and determine the interrelationships and linkages.

Predominant QWL enablers of employees working in the garment industries are training and development, satisfaction in job, compensation and rewards, relation and co-operation, grievance handling, work environment, job nature, job security and facilities.

In this study, the interpretive structural model is designed based on the opinion of the experts who are working in the garment industry considering the responses from employees in garment sectors. The framework can be extended further to the other sectors.

In future, the researchers in QWL may develop a model to quantify the level of employees’ QWL who are working in different sectors. Enablers of QWL are essential, and based on this further statistical analysis can be carried out. This study will provide limelight to the researchers in choosing the valid and reliable set of enablers for the empirical studies. Organizations can get benefit by implementing the outcome of this research for the enhancement of the QWL of employees.

The study was carried out in 133 garment industries where 851 workers constituted the final valid responses that were considered for analysis. The outcomes from the study help administrators, policy and decision-takers in taking decisions to enhance QWL.

Since conducting agile strategies provides sustainable passenger satisfaction and revenue by replacing applied policies with more profitable ones rapidly, the focus of this study is to evaluate agile attributes for managing low-cost carriers (LCCs) operations by means of resources and competences based on dynamic capabilities built on resource-based view (RBV) theory and to achieve sustainable competitive advantage in a volatile and dynamic air transport environment. LCCs in Turkey are also evaluated in this study since the competition among LCCs is high to gain market share and they can adapt quickly to all kinds of circumstances.

Two well-known Multi-Criteria Decision-Making Methods (MCDM) named as the Stepwise Weight Assessment Ratio Analysis (SWARA) and multi-attributive border approximation area comparison (MABAC) methods by employing Picture fuzzy sets (PiFS) are employed to determine weight of agile attributes and superiority of LCCs based on agile attributes in the market, respectively. To check the consistency and robustness of the results for the proposed approach, comparative and sensitivity analysis are performed at the end of the study.

While the ranking orders of agile attributes are Strategic Responsiveness (AG1), Financial Management (AG4), Quality (AG2), Digital integration (AG3) and Reliability (AG5), respectively, LCC2 is selected as the best agile airline company in Turkey with respect to agile attributes. SWARA and MABAC method based on PiFS is appropriate and effective method to evaluate agile attributes that has important reference value for the airline companies in aviation industry.

The findings of this study will support managers in the airline industry to conduct airline operations more flexibly and effectively to take sustainable competitive advantage in unexpected and dynamic environment.

To the author' best knowledge, this study is the first developed to identify the attributes necessary to increase agility in LCCs. Thus, as a systematic tool, a framework is developed for the implementation of agile attributes to achieve sustainable competitive advantage in the airline industry and presented a roadmap for airline managers to deal with crises and challenging situations by satisfying customer and increasing competitiveness.

In the fast-changing field of zero-carbon construction there is a gap in understanding how zero-carbon construction strategies are experienced in practice. This paper aims to identify the key barriers and enablers to driving a zero-carbon construction strategy by industry, policymakers and educators.

The research was conducted in two stages. The first stage used a literature review to determine thematic areas from which to develop discussion points for the second stage of the research, which gathered insights into key barriers and enablers to driving a zero-carbon construction strategy from analysing recorded discussion with industry, policymakers and educators. This study adopts a qualitative research methodological design underpinned by dialectical approach of enquiries involving 31 participants. The philosophical standpoint aligns with a constructivist participatory worldview based on multiple stakeholder perspectives. Data involving virtual and face-to-face engagement held simultaneously in Australia and India were transcribed, coded and synthesised to identify the barriers and enablers to driving zero-carbon construction strategy.

The paper identified key barriers and enablers driving zero-carbon construction strategy. Barriers included limited awareness of industry dynamics; fixed mental models of professional practice; complexities in identifying appropriate skillsets; difficulties associated with reviewing education and training models and integrating sustainable strategies at early stages of projects. Enablers included: fostering education reform and supporting frameworks and procurement strategies for developers and clients; implementing efficient building designs, construction and operationalisation of zero-carbon buildings and; utilising an industry-led integrated approach. A framework was developed to provide an illustrative view of the linkage between the research projects’ focus areas and emergent themes.

The paper provides zero-carbon action priorities for four significant stakeholder groups in the build environment, developers, building occupiers, educators and government. As the priorities are derived in the research from examination of current literature and analysis of stakeholder viewpoints, this paper presents a unique, realistic and timely identification of barriers and key enablers driving zero-carbon construction strategies. Methodology applied in terms of data collection involved a public discourse and a unique technology-driven collaborative approach where participants simultaneously contributed across countries and time zones in a synchronous manner across key topics related to driving the zero-carbon construction strategy.

Work-from-home (WFH) has gained popularity over the past years. This study aims to conduct a bibliometric analysis to systematically review and synthesize scholarly literature on the complex interplay between WFH, employee well-being and performance.

The study incorporates analysis of the bibliometric including performance analysis, content analysis and scientific mapping that is applied to 497 Scopus papers. VOSviewer software was used to evaluate the data.

This study posits an imbalance between the count of documents and the citations earned by each author. International Journal of Environmental Research and Public Health was regarded as a leading journal with maximum citations and publications. The highest count of publications came from most Asian countries such as India, China, Indonesia and Japan. The investigation indicated that the writers with the maximum citations were predominantly the authors of the majorly cited papers. Further, the text mining through co-occurrence of keyword analysis generated five clusters and cocited references revealed three themes.

The current research might benefit both research groups as well as human resource professionals since it also reveals the research necessity and gaps in the WFH domain.

This research delves into unexplored facets of WFH beyond traditional studies over the past decade by examining remote work arrangements in today’s economy, revealing previously unnoticed dynamics affecting employee well-being and performance. This innovative viewpoint enhances the literature and provides an empirical foundation for strategic organizational decision-making and future study.