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Central theme: The present chapter discusses the integration of data science methods in devising economic policies in different countries with special reference to India.

Purpose: It explains how the policy-making process in countries can be transformed from estimate-based policies to evidence-based policies with the help of techniques such as artificial intelligence (AI), big data, and data analytics. It answers the research question of whether the data science techniques can make the economic policy process efficient or not in developing countries like India.

Research methodology: Data are collected from secondary sources such as government websites, journals, corporate reports, and research databases to conduct this descriptive analysis. Research papers from Scopus/Web of Science (WoS) database are extracted, and exclusion/inclusion criteria are applied for extracting papers relevant to this research.

Findings: The chapter found out various opportunities which India can tap by gaining new insights on critical macroeconomic issues such as unemployment, labour markets, and water crises and would be able to resolve the problems with the help of predictive modelling. The findings exhibit the possibility of building models that could explain how to integrate data science techniques into the policy-making process. It also highlights the challenges that Indian economy is facing in incorporating these techniques in its policy-making process. It states the need to design different evaluation schemes based on information and communication technology (ICT) and data science for different policies, since one methodology does not suit all.

We argue that in order to address the contemporary challenges that organizations and societies are facing, the field of organization development (OD) requires frameworks and skills to focus on the eco-system as the level of analysis. In a world that has become economically, socially, and technologically highly connected, approaches that foster the optimization of specific actors in the eco-system, such as individual corporations, result in sub-optimization of the sustainability of the natural and social system because there is insufficient offset to the ego-centric purposes of the focal organization. We discuss the need for OD to broaden focus to deal with technological advances that enable new ways of organizing at the eco-system level, and to deal with the challenges to sustainable development. Case examples from healthcare and the agri-foods industry illustrate the kinds of development approaches that are required for the development of healthy eco-systems. We do not suggest fundamental changes in the identity of the field of organizational development. In fact, we demonstrate the need to dig deeply into the open systems and socio-technical roots of the field, and to translate the traditional values and approaches of OD to continue to be relevant in today’s dynamic interdependent world.

The aim of the chapter is to compare Public–Private Partnership (PPP) healthcare investments in developed countries with those in emerging economies, analysing the sustainability issues of health-led growth. Healthcare PPP best practices in developed nations represent a template that catching-up economies may follow with local adaptations. A comparison starts from the UK case and then examines the Turkish experience as an ideal bridge between advanced and developing countries. Healthcare investments are a primary social infrastructure, with a deep impact on poverty alleviation. Demand for the infrastructure necessary to provide healthcare services has increased substantially in developing and emerging economies due to rapid economic growth, industrialization and urbanization, while public supply is limited by budget constraints. PPP best practices provide a global benchmark (World bank, 2015b). Integrated supply and value chains and management of viability milestone improve healthcare PPP sustainability and bankability. Different legal frameworks and funding issues are not thoroughly investigated. Careful customization and local fine-tuning of best practices require further scrutiny. Homogenization of best practices improves comparison of different projects, fostering competition and easing cross-border investments, accompanied by knowledge transfer, sharing and consequent value co-creation. Best practices improve value for money, bankability and resilience of PPP investments, with potential benefits for healthcare services and quality of life. This chapter makes an innovative and comprehensive comparison of healthcare PPP projects worldwide, looking for a common denominator of value-enhancing rules and resilient pro-growth strategies.

Sharing services increasingly extends beyond intraorganizational concentration of service delivery. Organizations have started to promote cooperation across their boundaries to deal with strategic tensions in their value ecosystem, moving beyond traditional outsourcing. This chapter addresses two research questions geared to the challenge of interorganizational shared services (ISS): why would organizations want to get and remain involved in ISS? And: what are the implications of ISS for (inter)organizational value creation?

The conceptual chapter reviews literature pertaining to ISS from public, commercial, and nongovernmental sectors. ISS is understood as a multistakeholder organizational innovation. In order to analyze ISS and conduct empirical research, we developed a taxonomy and research framework.

The chapter shows how ISS can be positioned in value chains, distinguishing vertical, horizontal, and hybrid ISS. It outlines ISS implications for developing business models, structures, and relationships. Success factors and barriers are presented that epitomize the dynamic interplay of organizational autonomy and interorganizational dependence.

The research framework offers conceptual ideas for theoretical and empirical work. Researchers involved in ISS studies may adopt strategic, strategic innovation, and organizational innovation perspectives.

ISS phases are distinguished to focus innovation management — initiation, enactment, and evaluation. Furthermore, insights are provided into processes and interventions aimed at making ISS a success for participating organizations.

Cross-sectoral perspective on ISS; taxonomy of ISS; research framework built on organization and strategic management literature.

Although healthcare and healthy living are integral to the Sustainable Development Goals (SDGs) for 2030, the coronavirus epidemic has dealt a devastating blow to these efforts. As governments and policymakers were compelled to shift their focus to lockdowns, sustenance, procurement, and distribution of vaccines, the momentum for health initiatives slowed, and the already fragile health systems of emerging markets were subjected to additional shocks. However, in many underserved regions of the globe, the introduction of technology has greatly facilitated the distribution and adoption of healthcare services.

This chapter highlights mini-cases from four emerging nations: Bangladesh, Nigeria, Vietnam, and the Philippines. Although the countries are emerging, each one of them are in a distinct stage of development and face a unique set of healthcare-related challenges. The chapter showcases how four different organizations based in these countries leveraged the use of technology to take healthcare services to underserved populations. In doing so, they addressed the key challenges of imparting healthcare: geographic accessibility, availability, financial accessibility, and acceptability.

This chapter concludes with a discussion of the implications of expanding healthcare industries leading to increased healthcare waste. To prevent mass population exposure to hazardous substances, the emergence of intelligent healthcare waste collection and disposal systems will be an absolute necessity. Hence, with the development of healthcare services, governments and policymakers need to mechanize smart waste management systems to safeguard humans, animals, and the environment.

While the world grappled with the COVID-19 pandemic and its externalities, scientists have recommended that the global community brace against potential future pandemics. The need to build resilient systems has never been this urgent. The world, especially emerging economies, faces acute food insecurity, high food prices, failing health infrastructure and rampant misinformation spread, among others. Since blockchain technology (BCT) has been discussed in the supply chain resilience context, and it offers the potential to develop resilient systems, we aim to outline the potential of BCT to help build resilience against ongoing and future pandemics. Mainly, we focus on BCT for healthcare management, disruption management of food supply chains, human resource management, modern education and certification and governance and administration.