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This study aims to identify the critical factors contributing to India-based non-governmental organizations (NGOs) capacity building and value creation for beneficiaries.

A total interpretive structural modeling technique has been used to develop a hierarchical model of critical factors and understand their direct and indirect interrelationships. The driving force and dependence force of these factors were determined by using cross-impact matrix multiplication applied to classification analysis.

This study identifies 12 critical factors influencing NGO capacity building in India’s intellectual disability sector across four dimensions. Internal organizational capabilities include infrastructure, staff qualifications, fundraising, vocational activities and technical resources. Second, coordination and stakeholder engagement highlight government and agency collaboration, dedicated board members and stakeholder involvement. Third, adaptability and responsiveness emphasize adjusting to external trends and seizing opportunities. Finally, impact and value creation emphasis on improving value for persons with disabilities (PWDs).

The findings of this study have practical implications for Indian NGOs working for PWDs. The study provides NGOs with a structural model for improving organizational capacity by identifying and categorizing critical factors into the strategic model.

There is a scarcity of literature on capacity building for disability-focused NGOs in India. This study seeks to identify critical factors and develop a hierarchical model of those factors to assist policymakers in India in building the capacity of NGOs.

Performance has been a significant concern of the international joint ventures (IJVs) literature. This paper aims to empirically capture the impact of firm-level factors on IJVs performance in India. The authors investigate the mediating effects of ambidexterity between the factors and IJVs performance. Additionally, environmental dynamism as a moderator between ambidexterity and IJVs performance is examined.

This study performs structural equation modeling using the data of 501 IJVs between India and G7 nations from 2010 to 2020.

The result reveals the ambidexterity's mediation effects in the relationships between factors (technology transfer and flexibility) and IJVs performance. Furthermore, the findings indicate that a highly dynamic environment moderates the relationship between ambidexterity and the performance of IJVs.

This study has investigated the nexus between technology transfer, flexibility, ambidexterity and IJVs performance in the context of Indian IJVs. It has highlighted the importance of firm-level factors in cross-cultural joint ventures in achieving performance.

The study establishes the impact of firm-level antecedents on IJVs performance in India. The study highlights the importance of ambidexterity and environmental dynamism in order to achieve IJVs performance.

The study aims to identify, analyse and develop a model for measuring the inter-relationship and interaction among the inter-partner factors. International joint ventures (IJVs) literature has scantly studied the interactions and inter-relationships among the inter-partner factors of IJVs performance. To address this gap, this research creates a hierarchical relationship framework among the inter-partner factors of IJVs performance.

The comprehensive literature review is used to identify the factors and possible relationships between the factors and IJVs performance. M-TISM (modified total interpretive structural modelling) methodology is used to examine the relationship among the factors of IJVs performance.

This study highlights 12 inter-partner factors that affect IJVs performance. The results suggest that size asymmetry, commitment, goal incongruency, competitive overlap, trust, control, the interdependency of resources, cooperation, economic distance, cultural distance, geographical distance and administrative distance significantly impact IJVs performance. Commitment is found to be a linkage variable as it has high dependence and driving power. Goal incongruency and competitive overlap have high driving power.

This study gives a proposed list of critical inter-partner factors for policymakers and practitioners to consider when developing rules or recommendations to improve IJVs performance. The focus of policymakers should be on economic and geographical distance, followed by cultural distance, competitive overlap, goal incongruency, size asymmetry and administrative distance to improve inter-relationship among the partners in IJVs. The work contributes to the academician by presenting a modified TISM model that highlights the significance of ambidexterity in driving the performance of IJVs.

This study fills a gap in the literature by analysing the interactions among the inter-partner parameters that influence the performance of IJVs. It offers insights into the variables, such as driver dependence and the relationships between the variables.

While extant literature explores the influence of institutions on the national innovation system (NIS), most research has either focused on specific institutional aspects or treated institutions as a unified entity. This study aims to examine the effect of various institutional factors on a country’s NIS.

The conceptual model was empirically validated using regression analysis. The study sample comprised a total of 84 countries.

This study identifies and empirically validates a comprehensive set of institutional factors. It also highlights the significant institutional factors (including political stability, government effectiveness, ease of resolving insolvency and the rule of law) that can help improve a country’s NIS.

The research provides practical implications for organizations and policymakers seeking to understand and foster an innovative culture within the NIS. Policymakers are encouraged to develop a nurturing environment within the NIS by focusing on significant institutional factors. Organizations are encouraged to closely monitor developments in the NIS of a country to make informed strategic decisions at the business, corporate and international levels.

Business research has highlighted the importance of knowledge transfer and innovation in multinational firms for better performance outcomes. However, the existing body of literature is characterized by differentiated theories, antecedents and outcomes. This study aims to address this gap by adopting a systematic approach to analyze knowledge transfer and innovation literature from the perspective of multinational organizations.

This study follows “preferred reporting items for systematic reviews and meta-analyses” (PRISMA) guidelines for conducting a systematic literature review. The study adopts a systematic approach for analyzing the literature using School of thought (S), Contexts (C), Methodologies (M), Triggers (T), Barriers (B), Facilitators (F) and Outcomes (O) framework (SCM-TBFO framework) devised for holistic literature review. The study analyzes 75 articles from reputed journals from 2000 to 2022.

In general, knowledge transfer and innovation in multinationals is a relatively new area and is evolving rapidly. There are many opportunities to study the various perspectives that are included in the SCM-TBFO framework. The key schools of thought included the evolutionary theory of innovation, institutional theory and internationalization theory. The studies had differing settings or contexts, including China, Europe, the USA and Taiwan. Further, key methodologies that were used included regression, case studies, structural equation modeling (SEM) and theoretical studies. Knowledge transfer and innovation triggers included competitive advantage, competitive pressure, constant requirements for better products and services, foreign direct investment (FDI) and globalization. Knowledge transfer and innovation facilitators were categorized into strategy-related facilitators, organization culture and orientation-related facilitators, and resource-related facilitators. Knowledge transfer and innovation barriers included autonomy, international knowledge dispersion, risk of knowledge leakage, search breadth, ambiguity and institutional voids. Key outcomes of knowledge transfer and innovation in multinationals included financial performance, innovation performance, knowledge flow, transfer effectiveness, patents and new product development.

By synthesizing the literature, the study aims to provide an overview of the current state of research on knowledge transfer and innovation in multinationals. The study develops a holistic model for fostering knowledge transfer and innovation in multinationals. The proposed novel framework can also be applied to perform a holistic assessment of the current literature in various research domains. Further, the study suggests future theory development and research agendas. The study also provides implications for practitioners using the framework to achieve more desirable outcomes.

This study theoretically investigates the extant literature published about circular economy and sustainable development to identify significant research themes, the most relevant authors, countries and journals.

Bibliometric analysis is used, followed by cluster formation using co-citation analysis. The clusters are discussed in-depth to identify emerging themes and future research areas.

By systematically reviewing 596 research articles, significant themes of research in this field were found. These include frameworks and indicators to define and assess the circular economy, circular business models and use cases, global and industrial contexts of application of circular economy and different dimensions of the circular economy.

Publications from only one database have been used. Only articles published in relevant academic journals have been used for the bibliometric analysis. For co-citation analysis and cluster formation, only articles with a high number of citations were selected.

The analysis of the various clusters revealed research areas that can be explored in future research to understand the circular economy better and implement its practices to attain sustainability.

The purpose of this study is to understand the rational cogent correlation among the factors that are responsible for the implementation of entrepreneurship to reinstate the severely affected ecosystem during the coronavirus disease 2019 (COVID-19) pandemic.

This paper attempts to identify the various units of entrepreneurship and public policies of entrepreneurship from the coherent literature review and examine the units' objectives. Examination of these units will help understand how the economy can recover from the COVID-19 impact. Total interpretive structural modeling (TISM) and matrix impacts cross multiplication applique and classement (MICMAC) have been used to recognize the factors, which are responsible for detangling the slowdown of the economy.

On the basis of the literature review, a total of 13 factors have been identified. The TISM methodology represents the hierarchical structure of the recognized factors and examines the pros and cons.

The TISM lags to explain the strength and bond among the factors. The MICMAC addresses this problem and advises what factor plays an essential role and which factor impact is the least. An advocate administration of the factors could help to achieve a successful entrepreneurial plan.

An analytic study of the literature review demonstrates the relationship among the units to frame an entrepreneurial plan during the COVID-19 pandemic by using the TISM methodology. Hence, TISM provides reasonable facts to examine why and what factors need more attention for the generation of new business starters in the economic crisis.

The primary aim of this study is to detail the use of soft computing techniques in business and management research. Its objectives are as follows: to conduct a comprehensive scientometric analysis of publications in the field of soft computing, to explore the evolution of keywords, to identify key research themes and latent topics and to map the intellectual structure of soft computing in the business literature.

This research offers a comprehensive overview of the field by synthesising 43 years (1980–2022) of soft computing research from the Scopus database. It employs descriptive analysis, topic modelling (TM) and scientometric analysis.

This study's co-citation analysis identifies three primary categories of research in the field: the components, the techniques and the benefits of soft computing. Additionally, this study identifies 16 key study themes in the soft computing literature using TM, including decision-making under uncertainty, multi-criteria decision-making (MCDM), the application of deep learning in object detection and fault diagnosis, circular economy and sustainable development and a few others.

This analysis offers a valuable understanding of soft computing for researchers and industry experts and highlights potential areas for future research.

This study uses scientific mapping and performance indicators to analyse a large corpus of 4,512 articles in the field of soft computing. It makes significant contributions to the intellectual and conceptual framework of soft computing research by providing a comprehensive overview of the literature on soft computing literature covering a period of four decades and identifying significant trends and topics to direct future research.

The purpose of this study is to explicate the relationship between knowledge-based dynamic capacities (KBDC) and innovation-based performance (INPF) in information technology (IT) firms in India by examining the mediating impact of absorptive capacity (ABCP). The paper aims to determine whether and how the ABCP of the firms is recognized as the essential facilitator of INPF.

A survey of 511 respondents from Indian IT employees at the upper and middle management levels was undertaken. In this study, the partial least squares (PLS) technique explored the causal links between constructs with the use of the software application SMART-PLS 3.0.

The outcomes of this study proved the existence of a statistically significant relationship between the ABCP and INPF of information technology firms. Furthermore, ABCP's influence as a mediator between KBDC and INPF is significant. Therefore, findings imply that ABCP mediates the relationship between KBDC and INPF, however, only to some extent.

With the dynamism of the global market, the research has made significant gains in illustrating the criticality of ABCP for strengthening its KBDC in a much-needed Indian context. Therefore, following the recommendations and findings of this study, practitioners should concentrate on strengthening both ABCP and KBDCs to improve their INPF. To do this, managers must proactively organize their resources, procedures, and structure to promote knowledge absorption and dissemination, fostering innovation.

It is a ground-breaking study that proposes that the ABCP plays a crucial role in enhancing the INPF of the firms. The software industry will likely benefit from this study by understanding ABCP's potential impact on its INPF and designing knowledge management methods accordingly.

In this study, the authors examine the influence of market orientation on small firms' performance. The authors theorize that the association between market orientation and small firm performance provides an incomplete picture in a competitive environment. The application of configuration approach which involves simultaneous consideration of market orientation, strategic flexibility and competition intensity is crucial to examine driver of firm performance.

The sample of the research study consists of 272 small firms from an emerging economy, India. Ordinary least squares regression has been used to investigate the hypothesized relationships.

The authors noted that the three-way interaction between market orientation, strategic flexibility and competition intensity elucidates variance in small firm performance over and above a contingency model and a direct relationship.

The findings contribute to the existing literature by exhibiting the effect of market orientation on firm performance. The configuration model suggests that small firms can outperform competitors in a lower competitive environment if they have high market orientation and high strategic flexibility investment. To leverage market opportunities and achieve better firm performance, small firms’ owners should analyze the usefulness of current capabilities in a changing competitive environment concurrently and align market orientation to those conditions.

The strategic management and marketing literature suggests that relationship between market orientation and performance is ambiguous. The findings offer insights to managers regarding the appropriate use of strategic flexibility in leveraging the benefits of market orientation in a highly competitive environment. Furthermore, by collecting data from the context of an emerging economy, India, the authors attempt to strengthen the applicability of market orientation in different contexts.