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Environmental sustainability is quickly becoming one of the most critical issues in industry development. This study aims to conduct a systematic literature review through which the author can provide various research areas to work on for future researchers and provide insight into Industry 4.0 and environmental sustainability.

This study accomplishes this by performing a backward analysis using text mining on the Scopus database. Latent semantic analysis (LSA) was used to analyze the corpus of 4,364 articles published between 2013 and 2023. The authors generated ten clusters using keywords in the industrial revolution and environmental sustainability domain, highlighting ten research avenues for further exploration.

In this study, three research questions discuss the role of environmental sustainability with Industry 4.0. The author predicted ten clusters treated as recent trends on which more insight is required from future researchers. The authors provided year-wise analysis, top authors, top countries, top sources and network analysis related to the topic. Finally, the study provided industrialization’s effect on environmental sustainability and the future aspect of automation.

The reliability of the current study may be compromised, notwithstanding the size of the sample used. Poor retrieval of the literature corpus can be attributed to the limitations imposed by the search words, synonyms, string construction and variety of search engines used, as well as to the accurate exclusion of results for which the search string is insufficient.

This research is the first-ever study in which a natural language processing technique is implemented to predict future research areas based on the keywords–document relationship.

This paper aims to contribute to research on hybrid organisations operating within the information and communication technology for development paradigm to foster socio-economic inclusion through the capacity building of marginalised individual youth to enable their entry and participation in the formal labour market.

Using a qualitative research design, the authors investigated impact sourcing service providers and their beneficiaries to unpack how hybrid organisations fulfil their social mission and to provide a nuanced understanding of their needed capabilities. Data triangulation through document analysis, participant observation and semi-structured interviews were conducted for the empirical findings’ robustness and in-depth analysis.

This paper illuminates how hybrids strived to build beneficiaries' capabilities through empirically grounded approaches of “standardised” and “individualised” skills development, which were strongly connected to the perceived capabilities among the beneficiaries. Organisations that practiced the “individualised” approach imparted technical knowledge and, depending on individual needs, relevant social skills. Critically, the empirical findings call into question the effectiveness of the scalability model, as the results showed that the creation of standardised, low-skilled and low-paid jobs contradicts the idealised self-help status that employment advocates. In addition, the findings underline the central role of constant experimentation, resilience and organisational learning in revamping capabilities of hybrid organisations. Remarkably, compared to organisations committed to the “standardised” technical competency path, the results underscored the difficulties that organisations taking an “individualised" approach face in developing organisational capabilities for their financial sustainability. Further, organisations engaged in standardised” skills development were found to readapt their business model to the economic value and kept the wording of dual mission as a narrative.

The paper makes a conceptual and empirical contribution bringing together two separately developed literature strands – the organisational capability approach and – the individual capability approach, to enhance a more profound understanding of how both capabilities are connected to each other in the dual-mission orientation of hybrids embedded in resource-poor environments, global value chains, Global South, hybrid organisations, organisational and individual capability building.

The purpose of this paper is to formulate strategic interventions that can contribute to adoption of blockchain in Asian health market.

A methodological framework based on the three qualitative phases of the systems thinking and modelling methodology, namely, problem structuring, causal loop modelling and developing strategic interventions were used. Data was collected using thirty interviews and secondary research.

The reference model developed in the study captured the system behavior, showing health market blockchain adoption increasing in other countries but struggling in Asia. The qualitative systems model developed explained this behavior by capturing the underlying system structure using six interconnected feedback loops. Three strategic interventions were formulated to change the system structure to improve its adoption.

This study acknowledges its limitation that blockchain integration in health supply chain management (SCM) and adaptability to technological trends are just few elements that contributes to challenges in blockchain adoption in Asia Pacific health market . It also acknowledges the limited scale of this study using 30 interviews with a narrow set of stakeholders, limiting its generalisability.

Although the blockchain technology has medical data security benefits, its integration in health SCM could potentially improve cost of health service delivery to patient. Not only it prevents drug counterfeiting, it enhances patient’s safety by reducing the time it takes to alert the supply chain of a product recall from few days to few seconds.

“Blockchain-as-a-Service” has wide applications in SCM, identity management, payments, smart contracts, governance risk and compliance management, with its market size expected to grow in future. This affordable solution opens up the roads for future empirical research for information systems academicians and information technology practitioners.

This research provides a holistic analysis of the challenges facing blockchain adoption in the health market for Asia. It offers a methodological approach based on systems thinking and modelling to improve its adoption.

Drawing on the stimulus–organism–response framework, this study examined the environmental stimuli driving tourists' internal, or organismic, states. In addition, the authors investigated the association of the identified organismic variables with the response variables during the COVID-19 pandemic. Specifically, the study examined how the associations between tourists' anticipation of recovery and the national government's smart governance, on one hand, and tourists' desire to travel domestically, their attitude toward domestic travel and their willingness to exhibit prosocial behaviors, on the other, further drive the satisfaction they derive from domestic travel.

The authors used an online questionnaire to collect self-report, single-wave data from individuals residing in India, an emerging market (N = 421).

The findings demonstrate (1) the association of anticipated recovery on the desire to travel and prosocial behavior; (2) the association of smart governance on attitude (although negative); (3) the association of desire, attitude and prosocial behavior on satisfaction; and (4) the lack of any moderation effect for perceived severity.

This study is the first empirical study to investigate the impact of tourists' perceptions and dispositions and the efficacy of the national government on tourists' desire to travel domestically and on their satisfaction with domestic travel. The findings can help emerging market multinationals and global brands engage better with domestic consumers in emerging markets within the context of the current pandemic. In addition, the findings can help to prepare these players to handle future disruptions caused by global health contingencies.

Farmers producer organisations (FPOs) play the most crucial role in the agriculture supply chain system, aiming to redress the balance between farming and marketing activities of agricultural produce. The purpose of this study is to assess the performance of FPOs using data envelopment analysis (usually referred to as DEA) on 34 FPO units selected from the state of Rajasthan.

One of the most commonly used techniques to examine business performance is the application of DEA. The application of DEA requires the selection of inputs and outputs. This study takes three inputs and three outputs based on the insights drawn from the field survey. While the input variables consist of total assets, paid-up capital and the number of economic activities, the three output variables are turnover, net profit and number of members benefitted. Broadly, these variables encapsulate the operational performance of the business units.

This study’s findings reveal that the estimated relative efficiency score of the input-oriented CCR (Charnes, Cooper, and Rhodes) model ranges from 0.06 to 1. Interestingly, only one FPO has reported a relative efficiency (RE) score of one, whereas the remaining FPOs fall below the efficiency frontier. However, 15 FPOs report an RE score of one in the output-oriented CCR approach. Considering the estimates obtained in the input- and output-oriented BCC (Banker, Charnes and Cooper) models, this study found that about 20% of the FPOs report an efficiency score greater than 0.80. Moreover, three FPOs are on the frontier line. An examination of the scale efficiency score in the input-oriented model, 45% of the FPOs have an efficiency score greater than 0.80, whereas almost all FPOs achieve a scale efficiency score greater than 0.80 in the output-oriented model. Overall, the results imply that the FPOs should place greater emphasis on the efficient utilisation of the inputs to enhance the overall business performance and productivity.

The findings of this study provide vital insights into the specific inputs and outputs that determine the performance efficiency of FPOs and identify the potential areas for improving the existing inefficient FPOs.

This study contributes to the repository of the existing empirical studies in three distinct ways. First, the authors hardly found any previous studies that quantitatively assess the business performance of FPOs using the DEA technique. Second, the effort to identify the slacks associated with each input and output variable in input- and output-oriented models gives insights on improvable areas for inefficient FPOs. Third, the authors attempt to demystify the empirical obfuscations by highlighting the major challenges FPOs face in the state of Rajasthan.

In the wake of the COVID-19 outbreak understanding the behavioral dynamics and role of knowledge-oriented leadership (KOL) in driving knowledge worker performance (KWP) is paramount for organizations striving to adapt and thrive in the post-pandemic era. Drawing on the path-goal theory, this study explores the impact of KOL on KWP. In addition, this study seeks to examine both the direct and indirect influences of KOL on KWP via digital orientation (DO) and digital citizenship practices (DCP), especially for higher education institutions (HEIs) located in China.

The sample consisted of 319 academic staff from HEIs in China. The study used Smart-PLS 4.0 for analytical examination.

The results indicate that the impact of knowledge-oriented leadership on KWP is negligible. Furthermore, DCP and DO partially mediate the relationship between KOL and KWP. The findings of this research have practical implications for Chinese HEIs and organizations across industries, providing insights into how to navigate the complexities of the post-pandemic work environment and effectively harness digitalization to optimize the KWP.

The implications of this research extend beyond the HEIs, providing organizations in various industries with evidence-based strategies to promote effective leadership, foster digital skills, and cultivate a culture of digital citizenship in the post-pandemic work landscape.

Despite the increasing significance of KOL in the higher education sector, there is a dearth of studies establishing a relationship between KOL and KWP in HEIs. The present study seeks to fill this gap by examining the association among KOL, KWP, DO, and DCP in HEIs during the post-pandemic. This research provides significant contributions to the existing literature on the topic by scientifically exploring the association between KOL and KWP by examining the intervention mechanism of both digital citizenship practices and digital orientation.

Psychology studies have gradually evolved in the past decades from examining negative to positive states of mind. This has led to an increasing interest in understanding the well-being of individuals. Further, organizational research has demonstrated a positive impact of employee well-being on key business indicators. Drawing from positive psychology, this study examines the impact of happiness-enhancing activities and positive practices (HAPP) on employee well-being.

This study was conducted in an emerging information technology firm in India. Using validated measures, this study designed an online survey that was completed by 54 employees of the firm.

Employees largely perceived the HAPP as important but reported low levels of engagement in most activities or practices. Using hierarchical linear regression, this study found that self-concordant work significantly impacted employee’s job satisfaction and job-related affective well-being.

Leaders must harness the synergy between individual and organizational growth by providing self-concordant work contexts in which employee’s key skills, competencies and strengths are leveraged.

This study contributes to the existing scant literature on HAPP. Further, in a first, this study uses these psychological interventions in the context of workplace and assesses their impact on employee well-being which itself is an area of growing interest among academicians and practitioners.

In recent years, the topic of women's entrepreneurship has gained increasing attention from researchers and policymakers. Its role in economic growth and development has been widely recognized in several studies. However, the relationship between gender in entrepreneurship and innovation is an underexplored aspect in particular at a country-level perspective. This paper aims to answer the following question: Does female entrepreneurship impact innovation at a national level?

Using a panel dataset of 35 Organization for Economic Co-operation and Development (OECD) member countries over the period 2002–2019, the authors carried out a comprehensive econometric analysis, based on the fixed-effect model, the random-effect model and the feasible generalized least squares estimator, as well as a battery of tests to prevent problems of multicollinearity, heteroscedasticity and autocorrelation of the error terms. In doing so, the authors found consistent and robust results on the linear and nonlinear relationship between women's entrepreneurship and innovation, using selected country indicators from the Global Entrepreneurship Monitor (GEM) consortium, the Worldwide Governance Indicators (WGI) and the World Development Indicators (WDI), including female self-employment, female nascent entrepreneurship and R&D investment and controlling for the same relationships in the case of men's entrepreneurship.

This study shows that the level of R&D investment, which according to the literature can be considered as a proxy of innovation, is higher when the level of women's entrepreneurship is low. However, exploring more in depth this relationship and the relationship between male entrepreneurship and innovation, the authors found two important and new results. The first one involves the different impact on R&D investment of female self-employment and female nascent entrepreneurship. In particular, female self-employment appears to have a linear negative impact on the R&D, while the impact of female nascent entrepreneurship is statistically nonsignificant. The second one affects the nonlinearity of the negative effect, suggesting that very different challenges are possible at different levels of women's entrepreneurship. In addition, analyzing the role of human capital in the relationship between R&D investment and women entrepreneurship, it emerges that higher education (as the main component of human capital) makes early-stage women's entrepreneurship more technologically consuming, which promotes R&D investment. A higher level of education lessens the significance of the negative relationship between the simplest type of women entrepreneurship (female self-employment) and R&D investment.

The originality of the study is that it provides new evidence regarding the link between women's entrepreneurship and innovation at the macro level, with a specific focus on self-employed women entrepreneurs and early-stage women entrepreneurship. In this sense, to the best of the authors' knowledge, this study is among the few showing a nonlinear relationship between women's entrepreneurship and country-level innovation and a negative impact only in the case of female self-employment. Moreover, this study has relevant implications from a policymaking perspective, in terms of promoting more productive women's entrepreneurship.

This study aims to explore the role of the linguistic style used in the brand-posted social media content on consumer engagement in the Fintech domain.

A total of 3,286 tweets (registering nearly 1.35 million impressions) published by 10 leading Fintech unicorns in India were extracted using the Twitter API. The Linguistic Inquiry and Word Count (LIWC) dictionary was used to analyse the linguistic characteristics of the shared tweets. Negative Binomial Regression (NBR) was used for testing the hypotheses.

This study finds that using drive words and cognitive language increases consumer engagement with Fintech messages via the central route of information processing. Further, affective words and conversational language drive consumer engagement through the peripheral route of information processing.

The study extends the literature on brand engagement by unveiling the effect of linguistic features used to design social media messages.

The study provides guidance to social media marketers of Fintech brands regarding what content strategies best enhance consumer engagement. The linguistic style to improve online consumer engagement (OCE) is detailed.

The study’s findings contribute to the growing stream of Fintech literature by exploring the role of linguistic style on consumer engagement in social media communication. The study’s findings indicate the relevance of the dual processing mechanism of elaboration likelihood model (ELM) as an explanatory theory for evaluating consumer engagement with messages posted by Fintech brands.

The purpose of this study is to represent an attempt to empirically capture the impact of disinvestment on the financial and operating performance of 26 Bombay Stock Exchange (BSE) listed central public sector enterprises (CPSEs) in India which got divested through stock market mechanism during the time period of 2000–2014.

Through ratio analysis different ratios such as return on assets, return on equity, net income efficiency, debt equity, dividend payout and employment levels have been computed. Pre- and post disinvestment performance of these firms is examined through Wilcoxon signed-rank test. The present research endeavors to examine the impact of disinvestment through random effect panel data models in order to control the effect of other firm specific variables.

The overall results of the study indicate statistically significant fall in profitability ratios. The empirical results have not witnessed positive effect of disinvestment on the profitability of the CPSEs; rather, this effect has found to be negative. The possible reasons behind these negative results could be poor pre disinvestment financial health of CPSEs, negative rate of return on capital employed by PSEs and inefficiency which need to be tested empirically by future researchers.

The fact that government-owned firms are typically less proficient or at least less gainful than private-owned firms is widely hypothesized. Therefore, the disinvestment policy aims at dropping the participation of the public sector in the economic actions of the country in order to support the private sector. The present study is a first of its kind to study the impact of disinvestment on the profitability of the firms, which got divested through stock market mechanism since the year 2000 by applying both univariate and multivariate analysis.