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Healthcare innovations for bottom-of-pyramid populations face considerable risks and few economic incentives. Can entrepreneurial innovators provide new solutions for global health? This chapter examines how a technology enterprise built a collaborative network and supportive ecosystem making it possible to steer an innovation for TB patients through discovery, development, and delivery. Ecosystem resources were mobilized and upstream and downstream co-innovation risks were mitigated to commercialize a new diagnostic test. Detailed evidence on this innovation for TB care uses ecosystem analysis to clarify core issues in the context of joint value creation. The case study shows how resources from private and public partners can be leveraged and combined by the focal firm to build joint value and to lower execution, co-innovation, and adoption risks in healthcare ecosystems combating diseases of poverty.

This research aims to explore the various green supply chain management (GSCM) performance measures and develop the efficient performance measurement framework for evaluation of influence of GSCM adoption on organizational performance.

This research proposes a hybrid framework of Pythagorean fuzzy analytic hierarchy process and Pythagorean fuzzy weighted aggregated sum product assessment technique. The usefulness of proposed framework is validated using empirical case example of Indian manufacturing organization.

The finding reveals that the overall performance of case organization is 67.03% based on define set of performance measures. Further, the proposed framework has been validated with other three Indian automobile manufacturing organizations. The results obtained were confirmed with selected empirical case company. The proposed hybrid framework provides the effective path to measure and benchmark the impact of each performance measures on system performance.

This research is limited to automobile sector of India; hence the results obtained in this study may not be comprehensibly used to other sectors due to different product and process fields.

This research aids the industrial practitioners to effectively implement the green supply chain management (GSCM) and helps them to boost the overall performance of business organizations in three dimensions of sustainability.

This paper aims to present an interview with Professor Ron Adner, author of The Wide Lens.

The paper presents an interview with Professor Ron Adner, author of The Wide Lens to ask about his structured approach to uncovering the hidden sources of dependence in innovation ecosystems that undermine collaboration efforts. Adner describes how to use the tools he has developed to assess, map and analyse innovation ecosystems. Adner explains that when delivering value depends on the combined efforts of multiple innovation partners – both within and across firms – executing brilliantly does not prevent failure if the other partners stumble. Numerous case studies are reported and a new set of analysis tools is introduced.

Adner reveals that success in new product/service ecosystems requires innovation partners that are both able and willing to participate in a novel solution.

The paper notes that seeing innovation as ecosystem management produces many new insights about effective implementation.

The aim of this conceptual study is to analyze the effects of state-of-the-art research streams on supply chain risk management (SCRM) based on organizational theoretical background and direct future research toward the use of other related organizational theories. This paper seeks to provide a framework for understanding various organizational theories that can impact the understanding of SCRM.

A systematic literature review on articles published from 1998 to 2020 was conducted manually in the following databases: Emerald, Science Direct, Taylor & Francis Online, and Wiley online library. Among these articles, the paper by Smeltzer and Siferd (1998) is the first article published on the topic. Therefore, that serves as a starting point for the papers' analysis. A total of 109 articles have been selected and reviewed in detail.

The results of the study indicate that the articles which utilize theories in SCRM research have been mostly published in the last three years. The quantitative and case studies have been prevalently applied methods in the articles. In total, 34 theories are listed from the investigated articles. The four commonly studied theories among these are the information processing theory, transaction cost theory, contingency theory, and resource-based view.

This paper is the pioneer in the sense that the paper specifically and directly reviews the SCRM literature in terms of organizational theory usage. For future research, this study offers a diffusion of innovation (DOI) theory that explains the factors which can affect the adoption or diffusion of SCRM practices.

In India, artificial intelligence (AI) application in supply chain management (SCM) is still in a stage of infancy. Therefore, this article aims to study the factors affecting artificial intelligence adoption and validate AI’s influence on supply chain risk mitigation (SCRM).

This study explores the effect of factors based on the technology, organization and environment (TOE) framework and three other factors, including supply chain integration (SCI), information sharing (IS) and process factors (PF) on AI adoption. Data for the survey were collected from 297 respondents from Indian agro-industries, and structural equation modeling (SEM) was used for testing the proposed hypotheses.

This study’s findings show that process factors, information sharing, and supply chain integration (SCI) play an essential role in influencing AI adoption, and AI positively influences SCRM. The technological, organizational and environmental factors have a nonsignificant negative relation with artificial intelligence.

This study provides an insight to researchers, academicians, policymakers, innovative project handlers, technology service providers, and managers to better understand the role of AI adoption and the importance of AI in mitigating supply chain risks caused by disruptions like the COVID-19 pandemic.

The spatial and psychological distance within agri-food chains provides both profit and risk for supply chain members. Grounded on the transaction cost economics (TCE) and institutional theory (IT), the purpose of this paper is to test whether the adoption of multiple supply chains (MSCs), which adopt both traditional and shortened supply chains, can be used to manage uncertainty and mitigate the risk associated with a supply chain.

In order to test the hypothesis, matched questionnaire surveys were developed to collect the data from farm managers and consumers. Completed questionnaires were received from 112 respondents. The hierarchical regression analysis was performed to test hypotheses.

The result shows the positive effects of environmental and behavioral uncertainties on MSC adoption and represents the diminished moderating effects of institutions (industrial and consumption tendency) on the relationship between uncertainties and MSA adoption.

This study only explored producers and their recommended consumers; future studies can undertake questionnaire designs (one producer-to-many consumers) and empirical analyses with analytic hierarchy process theory to reexamine the hypotheses proposed in this study.

MSC adoption is a way to manage uncertainties resulting from spatial and psychological distance in the supply chain. Producers and consumers show their risk preferences by SC adoption after considering pre-constructed societal norms. Therefore, the consumers’ and producers’ choice of a supply chain reflects a process of communicating risk. The adoption of a mixed governance mode (MSC adoption) and accessing information about common practices are two ways to decrease such uncertainties.

There are multiple goals (traceability, fairness, efficiency, well-being) in the food supply chain that may be satisfied by MSC adoption. Therefore, policymakers should understand the different values of various supply chains and facilitate the development of various supply chain modes.

This study integrated the undersocialized and oversocialized perspectives (TCE and IT) to understand how uncertainties of supply chains may be diminished. Based on these perspectives, it found that the adoption of the mixed governance mode and accessing of institutional information are two ways to decrease such uncertainties.

Little is known about the effects of supply chain finance (SCF) adoption on organizational performance (OP). This study aims to address this relevant research gap, and hence draws on the dynamic capability view of the organization under the contingent effect of environmental dynamism (ED) and supply chain risk (SCR) to investigate the effects of SCF adoption on OP.

A conceptual framework is developed and then tested using survey with data collected from a cross section of 217 organizations in China.

The findings show that SCF significantly mitigates the SCR, which therefore has a strong positive effect on OP (e.g. cost performance and operational performance). Moreover, the findings indicate that when ED is high, then the relationship between SCF and SCR is stronger, whereas when ED is low, the relationship between SCF and SCR is weak. Further, SCR mediates the relationship between SCF and OP. Hypothesis regarding the moderating effect of ED on the paths joining SCF and SCR was also confirmed. SCR has a strong negative effect on OP. However, hypothesis regarding the effect of ED on SCR was rejected.

This paper has the following limitations. First, the authors conducted the study with organizations in China, which may result in low generalizability. Moreover, the authors used survey method and cross-sectional data design in this paper, which may cause the potential issue of common method bias. However, this research provided some significant theoretical and managerial implications for organizations, practitioners and researchers, while exploring different factors such SCF, SCR and ED, and their effect on organizational output.

From the managerial perspective, this study provides some relevant new insights to the supply chain managers of organizations. First, the findings of present study guide the organization executives to mitigate their organizations’ risk through risk mitigation strategies such as SCF; optimize their liquidity and working capital while getting the credit at best cost from lenders; and mitigate vulnerability. Second, organizations should adopt vulnerability strategies for improving their capability to respond promptly and cost-effectively toward uncertainties. Third, the perfect identification of factors leading to the adoption of SCF and improving OP are of incredible attractiveness for executives to discover the relevant practice of SCF. Fourth, the results also offer an opportunity to organizations and practitioners, a decision-making approach, to manage which mitigation scheme to be adopted to aid the supply chain practices of mitigation. Moreover, SCF emphasizes that the organization managers’ expand their overall supply chain by getting easy credit and reducing the risk and produce higher organizational productivity. Further, this paper offers a completive advantage for both buyers and suppliers to strengthen their relationships while collaborating with each other. The supply chain executives may explore the level of relationship amongst SCF adoption and their effects on organizational productivity. Therefore, SCF provides equal competitive advantage to both main partners of the supply chain to mitigate the overall risks and improve their competiveness.

This research fulfilled the research gap in operations management, strategic management, marketing and supply chain management by exploring the effects of SCF adoption as risk mitigation strategy but also as an instrument which can aid organizational to carry out their performance.