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Grounded in stakeholder theory, this study aims to examine the barriers to blockchain adoption in hospitals in developing countries. It also aimed to explore the interrelationships among these barriers and investigate how the perceptions of clinical and non-clinical professionals in the healthcare industry differ regarding these barriers.

The study context was hospitals in India and proceeded in three phases. First, barriers affecting blockchain application in healthcare were shortlisted using a systematic literature review. In the second phase, a multi-round Delphi study with clinical and non-clinical healthcare experts was conducted to screen and validate the barriers identified in the first phase. Finally, the barriers were ranked and categorized into causal and effect groups using the Grey-DEMATEL technique in the last phase of the study.

The findings reveal variance in the viewpoints of clinical and non-clinical professionals regarding influential barriers. Overall, the most significant causal barriers were a shortage of IT skills and a lack of standards for patient data management standards in Indian hospitals. Additionally, the study identified the lack of a well-defined strategy for blockchain infrastructure deployment and limited support from hospital management as effect barriers.

To the best of the authors’ knowledge, this is the first attempt to use the integrated Delphi-DEMATEL approach to explore blockchain adoption barriers in hospitals from the expert’s point of view.

Globally, the landscape of corporate carbon disclosures (CCD) is continually evolving as societal, environmental and regulatory expectations change over time. The goal of this study is to examine the challenges faced by Indian firms’ corporate carbon reporting (CCR). The literature recognized the hurdles to reaching net zero emissions and decarbonization, which are equally applicable to carbon disclosure (CD).

The scope 3 emission disclosure barriers (S3EDBs) identified from the literature were ranked, and their relationships were discovered using the “Grey-based decision-making trial and evaluation laboratory” (Grey- DEMATEL) technique.

The key findings are the S3EDBs, the most prominent barriers, their interrelationships and important insights for managers of organizations in prioritizing the action area for scope 3 CD. Eight S3EDBs were categorized in terms of cause and effect, threshold value is calculated as 0.78. “Quality, and reliability of data,” “Government policies and statutory requirement on emission disclosure” and “Traceability and managing supply chain partners” are the most prominent S3EDBs.

The results will help industry people in countries with emerging economies that have significant scope 3 carbon footprints. The managers can plan to deal with top S3EDBs as a step towards decarbonization and ultimately fighting climate change (CC).

This study is one of the first to rank these barriers to CD so that industry practitioners can prioritize their actions. The core contribution of this research is to detect the most significant S3EDBs and their interdependencies.

This study examines the effect of human and technological resource bundling on the financial and non-financial performance of third-party logistics (3PL) firms in India.

For achieving the research aim, 248 practitioners from India based 3PL firms were surveyed. The relationships between human and technology resources and firm performance were examined using structural equation modelling (SEM).

The results of empirical tests revealed that human and technological resources significantly enhance the performance of the 3PL firm. However, the firm's logistic capabilities related to track and trace, order management and final assembly do not mediate this relationship.

This study contributes by examining resource bundling in India's 3PL industry using empirical data and providing knowledge of the relationship between resources and business performance. It guides managers to consciously develop resource capabilities that influence firm performance.

The purpose of this article is to explore the phenomena of board gender diversity and its consequences for sustainability performance, as measured by the environment, social and governance (ESG) disclosure score, in the Indian context.

The positivist paradigm influenced the research design for this study. The relationship between firm's ESG performance and female participation on the corporate boards was explored using panel data regression with a fixed effect approach. A total of 712 data points covering the Nifty 100 companies of the National Stock Exchange (NSE) were included in the data set. To add robustness to the findings and to overcome endogeneity bias, authors employed the Dynamic Generalized Method of Moments (GMM).

The results showed that, a relatively small, percentage of women directors has little impact on ESG performance, but when at least three women directors are in place, these relationships become more favourable. Despite the fact that Indian firms trail behind many developed and developing countries in promoting board gender equality, authors conclude that critical mass theory partially applies in the Indian context.

This study contributes to the field of corporate governance in the twenty-first century by investigating the subject of women's participation on boards in the context of a rising market and its potential influence on sustainability performance. The use of critical mass theory adds a fresh perspective to the literature.

Evolved from Toyota’s shop floor in Japan, lean bundles are universally accepted for boosting manufacturing performance. However, extant literature shows mixed findings on the effectiveness of lean bundles in non-Japanese settings. This meta-analysis is aimed at understanding the influence of national culture (NC) differences on the lean bundles-performance relationships.

A total of 224 effects from 12,569 observations across 48 empirical studies from 14 countries are meta-analyzed. Also, weighted least squares (WLS) meta-regression using NC scores from the Global Leadership and Organizational Behavior Effectiveness (GLOBE) study are conducted to test the moderating effect of NC dimensions.

The meta-analysis reveals a positive association between the lean bundles and firm performance; though, the strength of the association varies across the individual lean bundles. The meta-regression results show that lean practices are more effective in countries that value high future orientation, high collectivism, low-performance orientation and high assertiveness.

The results contribute to the literature on the role of local cultural influence on strategies and decisions related to the implementation of continuous improvement (CI) programs in cross-cultural settings.

Lens of conservation of resources (COR) theory has been used to study how organizations can create resource passageways for their employees via managers. This has been examined in cross-cultural virtual work teams distributed across time and space within the high-resource loss context of the COVID-19 pandemic.

Longitudinal field design was used in a transnational organization involving data collection at three times over eight months. At Time 1, qualitative methodology was used to propose a conceptual model. At Time 2 and Time 3, an online survey was used to collect data for 205 virtual work teams across 10 countries in the Asia–Pacific region pre and post “manager as coach” training respectively.

Using COR theory, the study highlights that “manager as coach” training is an effective resource for managers in the high resource depletion context of the pandemic. Access to timely support increases saliency for the resource-gain spiral and has a cross-over impact on virtual work team outcomes suggesting transferability of resources from managers to subordinates. Also, managers across all nationalities view coaching training as an equally valuable resource.

The study provides evidence for investment in timely and relevant support for managers to positively and swiftly impact virtual work teams during high-resource loss contexts.

The study expands COR crossover theory across space and time dimensions using a longitudinal field research design.

Digitalised and interconnected production systems in the era of fourth industrial revolution or Industry 4.0 (I4.0) have triggered the need of reshaping the traditional Quality Management (QM) models and roles of quality professionals. The purpose of this paper is to review the body of literature on QM in the I4.0 environment (also termed as “Quality 4.0”) and identify future research possibilities.

The morphological analysis (MA) framework is used to identify research gaps in a systematic manner. We present the MA framework based on a literature review of 51 papers on the Australian Business Deans Council (ABDC) list identified using systematic review protocol.

The MA framework, built on six relevant dimensions, namely, production and operations function, scope of QM activities, enabling technologies, latent capabilities of digitalisation, performance metrics and QM principles, and 41 associated variants, reveals 367 research gaps as an upper bound of opportunities for future research.

This paper is possibly the first to use MA for reviewing the QM literature, presenting important contributions. The MA framework acts as a ready reckoner on the QM in I4.0 literature. It documents research gaps through the construction of a cross-consistency matrix.

: Sustainability in fast-moving consumer goods (FMCG) supply chains (SC) is receiving greater than ever attention due to the increasing awareness of sustainability challenges such as climate change and labor rights. A definite solution is to integrate sustainable supply chain management (SSCM) practices all through the upstream and downstream entities of SC. This study identified and compared the drivers for the implementation of SSCM practices in Indian FMCG sector.

A methodology based on Grey-Decision Making Trial and Evaluation Laboratory (DEMATEL), a hybrid multiple-criteria decision making (MCDM) technique and sensitivity analysis was used to envisage the complex causal relationships among the identified SSCM drivers and to identify the critical ones.

The results showed that regulatory and legislative pressure, competition pressure and innovativeness dominantly drive the implementation of SSCM practices in the upstream and downstream SC of the FMCG sector.

The study examined levers of sustainability in FMCG supply chains in an emerging market with most of the extant research limited to automotive and electronic supply chains.

The aim of the study is to develop and apply a continuous improvement (CI) framework by introducing environmental considerations into the Six Sigma DMAIC (define–measure–analyze–improve–control) cycle for a continuous identification, evaluation and implementation of promising opportunities of enhancing environmental sustainability of process-based industries.

Action research approach within the research design of a single case study was used for illustrating the application of the proposed DMAIC framework for improving operational and environmental performance in the process-industry environment of a pharmaceutical manufacturing company.

The case study illustrated the implementation of DMAIC cycle for optimizing the energy consumption of pharmaceutical plants producing bulk drugs for medication. After improving the energy distribution in the cooling tower (CTW), chilled brine (CHB) and chilled water (CHW) system, the pharmaceutical plant was able to achieve an annual economic benefit of US$97,047 and environmental benefits of mitigating CO₂ emissions of 807.44 t (CO₂) by reducing the electricity and furnace oil consumption.

The framework may be adopted for environmental considerations specific to process-based industry such as chemical plant, fertilizer units, thermal power plant and food processing industry.

Corporation's board (CB) is viewed as a vital internal corporate governance (CG) mechanism, playing a critical role in mitigating the agency problems and enhancing firm performance. Considering the mixed nature of extant CG literature on CB-firm performance link, this study aims to examine the impact of specific CB attributes on firm performance studied in varied contextual settings and investigates the moderating effects of three contextual factors, i.e. legal origin, industry type and firm type on CB-performance relationships.

Meta-analysis technique suggested by Hedges and Olkin (1985) was used to analyse a sample of 330 effect sizes reported in 148 studies published between 2000 and 2020 in 85 peer-viewed journals, studying CB-performance associations across 31 countries. The analyses were conducted in two stages: first, the authors assessed the main effect of CB attributes on firm performance and tested the heterogeneity in effect size across the primary studies. In the next stage, the authors investigated the moderating variables accounting for this heterogeneity in the CB-firm performance relationship.

Board independence, board diversity, board size and role duality are the CB attributes, which significantly and positively impact firm performance. Further, the homogeneity tests revealed variability in effect size for all CB attributes except for board committees. Subgroup meta-analyses revealed that the contextual factors related to industry-type and firm-type are substantial explanatory source of heterogeneity in CB-performance association, though legal origin of firm also partially explains the heterogeneity in this relationship.

Only empirical research reporting Pearson product-moment correlation coefficients(r), as the effect size, were considered for this study. Some of the other CB attributes such as board composition, compensation structure of board members, performance evaluation and appointment process of board members were not included due to limited empirical research on these attributes.

The paper includes implications for managers and policy makers for the development of effective corporate boards and CG mechanisms.

This paper integrates diverse empirical evidence on the associations of CB attributes with firm performance and systematically assesses the moderating factors that contributes to heterogeneity in these relationships.