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Numerous prior studies highlight the importance of social media adoption (SMA) in nongovernmental organizations (NGOs) in the disaster preparedness phase (DPP). However, in India, social media is underused by NGOs in their attempts to mitigate the adverse impact of the disaster. Therefore, this study aims to seek to empirically investigate the relationship between factors influencing the SMA in NGOs in the DPP in India.

The “Technology-Organization-Environment (TOE)” framework, integrated with organizational creativity (OC), forms the theoretical foundation of this study. Data were collected from 266 respondents representing 120 Indian NGOs using a seven-point Likert scale. To test the hypotheses, this study used a variance-based structural equation modeling technique.

The empirical findings show that relative advantage, organizational readiness (OR), top management support and government support positively influenced the SMA in NGOs during the DPP. However, compatibility and complexity do not affect the SMA. In addition, OC moderates the relationship between OR and SMA in NGOs. These results underscore the need for NGOs to develop an organizational culture that is more forward-thinking and technology oriented.

This study fills an important research gap in the literature by developing a research model designed to improve the SMA in NGOs during the DPP in India. Furthermore, the authors integrated OC into the TOE framework to develop and examine the relationship between factors that impact SMA.

The adoption of the design thinking approach (DTA) within organizations is crucial for generating creative and innovative solutions to complex business and societal problems. However, the integration of DTA into organizational practices is progressing slowly and needs immediate attention. Numerous interrelated and interdependent barriers hinder the integration of DTA into organizational practices. This study aims to identify and categorize barriers to DTA adoption within organizations into cause and effect (C–E) groups.

Barriers to the implementation of DTA were identified through a comprehensive literature review and semi-structured interviews with eight professionals to gather insights into real world barriers. The study follows the resource-based view (RBV) theory to identify the barriers. Following this, the decision making trial and evaluation laboratory (DEMATEL) method was applied to categorize the barriers into C–E groups.

The study identifies 18 barriers to DTA adoption within organizations in the Indian context. The results revealed that the most prominent barrier to the DTA implementation within organizations is the misfit with existing processes and structures, followed by weak organizational culture and difficulties in implementing the idea. Our findings suggest that managers should champion the adoption process. This will help in motivating employees and fostering a culture of design thinking in the organization. Organizations need an open mindset and should give employees more opportunities to experiment. There is an immediate need for measures that enable better collaboration between business organizations and educational institutions, including universities, to promote DTA.

The findings of the study will help the organizations and decision-makers in expediting the adoption of DTA within their organizations. The results categorize the barriers into C–E groups, allowing organizations to take appropriate measures to address the cause group barriers and minimize the impact of the effect group barriers.

This study is the first of its kind to utilize the RBV theory in identifying and classifying barriers to DTA adoption within Indian organizations. However, the findings are also applicable to other countries with similar business environments.

This article aims to answer two research questions that remain controversial in the accounting and corporate governance literature: (1) how corporate disclosure is related to board monitoring and (2) how this link is affected by the institutional environment and firm-level governance.

The study is based on S&P data on corporate disclosure by Russian companies collected over 2002–2010 and supplemented by information from the SKRIN database. The dataset covers 125 non-financial companies, with 559 observations in total. We use three indicators of board monitoring: the percentage of non-executive directors, a dummy for two-tier boards, and a dummy for an audit committee. The firm’s governance is proxied by a dummy for single class stock, while the institutional environment is proxied by a dummy for ADRs/GDRs. We apply conventional methods of panel data analysis with several robustness checks, including the random- and fixed-effects models, 2SLS that addresses the potential endogeneity of board composition, alternative definitions of the dependent variable, and an extended list of controls.

We find a positive (complementary) relationship between the amount of disclosure and the proxies for board monitoring employed. This complementary relationship turns out to be the strongest among companies that have better internal governance but face a weaker institutional environment. There is little evidence of such complementarity under strong institutions.

The findings may be of interest to investors and policymakers. As to the former, the results warn of firms that provide limited disclosure in the presence of strong corporate governance arrangements, such as independent boards, as these factors are not substitutes for each other. As to the latter, the results support comprehensive policies aimed at simultaneous improvements in both board governance and corporate disclosure in weak institutional settings.

This paper uses a unique setting and rich, partly proprietary data to extend the existing literature on the relationship between corporate disclosure and board monitoring, with an emphasis on the moderating role of the institutional environment and firm-level governance. It is also one of the very few studies of corporate disclosure in Russia, an important emerging economy of the early 2000s.

Amid increasing frequency of disaster across the globe, humanitarian supply chain (HSC) has gained significant attention in recent times. This work aims to contribute towards improving the decision-making capabilities of relief organisations by offering more comprehensive understanding of the critical success factors (CSFs) concerning HSC. Hence, the current work attempts to classify CSFs as cause-and-effect factors and explore their relative importance in the stated significance.

Current work takes an explorative and deductive approach. It uses literature and experts' input to identify the CSFs for HSC and to develop a structural model for assessing these factors. Intuitionistic fuzzy DEMATEL (IF-D) is employed for modelling and analysing the cause-effect linkages among the CSFs. IF-D method is chosen as it is robust to vagueness of data and small samples.

The findings indicate that “motivated and committed employees” is the most influencing causal factor followed by “IT infrastructure”, and among effect factors, “physical network” carries the most significance followed by “anticipation capabilities.”

Relief organisations and stakeholders at various levels may put more emphasis on cause group factors with more influence on most critical effect factors to build more efficient and effective HSC to execute more impactful relief programs.

Current work explores the cause–effect relationships among the CSFs concerning HSC by implementing IF-D, which can be considered as the original contribution.

The purpose of this study is to analyse the impact of corporate attributes like a company’s profitability, size, age, leverage and board size on companies’ sustainability reporting as measured through India’s new business responsibility and sustainability reporting (BRSR) framework.

A random sample of 130 companies was taken from the top 1,000 listed companies on the National Stock Exchange. Sequential mixed methods research approach was used to prepare a sustainability quality index. Then, a hierarchical multiple regression analysis was performed to examine the impact on the quality of reporting by Indian companies.

Interestingly, the analysis revealed that traditional metrics like age, profitability, board size and leverage did not have significant associations with reporting quality. Rather, the size of a company in terms of market capitalisation was found to have a strong positive impact on sustainability reporting.

This was a cross-sectional study, as time series data for BRSR reporting is not yet available. Also, only five parameters were taken for analysis. Lastly, subjective judgment in content analysis may be involved.

This suggests that only larger companies in India are prioritising sustainability reporting over smaller ones. It affirms the legitimacy and stakeholder theory in the Indian context.

To the best of the authors’ knowledge, this study is one of the first endeavours to assess the efficacy of the new Indian BRSR framework and test its primary objectives. Furthermore, significant implications have been given for managers to catalyse and reinforce the sustainability momentum down the lane across companies of all sizes in India.

This study aims to examine the influence of corporate carbon emissions on the financial performance of select Indian companies. It further studies the moderating role of science-based target initiatives (SBTi) in this relationship.

The study is based on 57 Indian SBTi companies and 74 Bombay Stock Exchange-listed non-SBTi companies for the period of four years from 2019–2020 to 2022–2023. The panel data regression models are used to study this association. Furthermore, two-stage least square and generalized method of moments models are used to test the robustness of the results.

There is a negative relationship between corporate carbon emissions and financial performance. The findings support the “win-win” hypothesis and confirm that reducing carbon emissions can improve the financial performance of Indian firms. Furthermore, the SBTi moderate the carbon emission and firm performance nexus.

The findings of the study would provide insights to the policymakers, regulators and managers to mainstream climate change in their core business activities driving sustainability and profitable outcomes.

This study is a noble attempt to study the moderating role of science-based targets in the carbon emissions and firm performance nexus in an emerging market setting. Earlier studies have been conducted in a cross-country context.

This research aims to determine the effect of marketing literacy on the success of entrepreneurial projects (EPS) in Palestine.

To attain the study’s purpose, the researchers employed the questionnaire, which was applied to a random sample of 298 individuals from the owners of entrepreneurial projects in Palestine. The data were analyzed and tested using SmartPls 4 software.

The study reached a set of results, including that the level of marketing literacy among owners of small businesses in the Gaza Strip was significantly higher for customer service (CS), management style (MS), technology (T) and customer retention (CR). In particular, the results implied that CS, MS, T and CR significantly and positively affect EPS.

This research would help the start-ups in Palestine spread marketing literacy among the workers in entrepreneurial projects.

Today, most countries tend to support entrepreneurs and owners of creative ideas and entrepreneurial projects through various programs. To the best of the authors'' knowledge, this research is distinguished by its modernity and scarcity in the Arab world, particularly in Palestine. Thus, it would help raise awareness of marketing literacy among owners of entrepreneurial projects and provide empirical evidence of success for those who are about to establish an entrepreneurial project.

The purpose of this study is to investigate the various challenges of humanitarian supply chains (HSC) and how these challenges can be addressed using artificial intelligence (AI).

This study employs exploratory analysis to identify various issues in HSC and the use cases of AI to address these issues through published literature. Subsequently, we collected tweets from Twitter and posts from LinkedIn using relevant keywords over four months. The collected data were cleaned, analyzed and interpreted to gain insights into users' perspectives on the various issues and use cases of AI in HSC.

The analysis reveals that various issues of HSC such as logistical challenges, security concerns, health and safety, access constraints, information gaps, coordination and collaboration, cultural sensitivity, funding constraints, climate and environmental factors and ethical dilemmas are predominantly discussed in published literature. Meanwhile, user-generated content reveals different levels of prioritization of these issues and AI attributes and offers AI-based solutions.

This study is subject to certain limitations, including a restricted data collection period of only four months and the use of just two social media platforms. These limitations could be addressed by conducting a more comprehensive and extended data collection across additional platforms to produce more conclusive findings. Another limitation is the lack of contextual information, which may have provided more specific insights.

To the best of the authors’ knowledge, this is possibly the first paper to explore both published literature and the collective intelligence of social media users to examine AI attributes, the various challenges of HSC and how AI can address these challenges.

This study aims to identify several perspectives that affect the adoption of blockchain technology in India (BCTA) and evaluate their impact. To study the sector’s influence on adoption and the impact of BCTA on the performance of the Indian healthcare supply chain (HSCP) using BCTA as a mediating variable.

In this study, we first developed a conceptual model based on Organizational Information Processing Theory and Technology-Organization-Environment, then formulated hypotheses. Based on this, a questionnaire was developed, and data were gathered from experts in the Indian healthcare industry who were familiar with blockchain technology. AMOS 19 was used to analyze data using structural equation modelling.

All the factors have a significant positive influence on BCTA. Healthcare supply chain factors influenced the adoption most dominantly, followed by technological, environmental, organizational and record-keeping unit factors. Both the public and private sectors of HSCP benefited significantly from BCTA.

This research work is fruitful for healthcare practitioners, top management, academicians and policymakers in assessing BCTA’s impact on the HSCP.

We have attempted to evaluate the possible BCTA impact on HSCP. BCTA as a mediating variable and considering different perspectives for a holistic view of adoption in the Indian context add to this work’s originality.

This study aims to review the current research in the digitalization of the humanitarian supply chain performance management (HSCPM) and complement the insights found in the literature with the support of humanitarian organization (HO) reports. As a result, this study also identifies research gaps and directions for future research.

The study first used a systematic literature review using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis to collect and review 25 peer-reviewed articles. Second, the study complemented the articles’ findings by collecting and analyzing 12 HO reports.

The study reveals the common understanding and links between HSCPM concepts and digitalization approaches, determining that the digitalization approaches per se used in the literature are indistinct and fragmented. Furthermore, it reveals the gaps between literature and practice that cause the research to develop slowly. Some suggestions are made to aid relevant future research. Both gaps and research directions are presented in Table 5.

This study first contributed to methodology in reviewing the digitalization of HSCPM research from literature and practical perspectives. There is a need to expand the data collection scope, integrate various analyses and foster collaborations with multi-disciplinary researchers and practitioners.

This study highlights the gaps and potential pathways for the research community to conduct future research investigations into the digitalization of HSCPM.

To the best of the authors’ knowledge, this is one of the first studies to analyze the HSC’s current research into the application of digitalization in HSCPM from both academic and practical perspectives. It also provides a replicable methodology for future studies.