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The purpose of the chapter is to highlight the role of strategic human resources in building resilient organisations. Our research also aims to highlight how resilient organisations are poised better to take on constantly changing business environment and deliver superior products and service experiences to the target market. With the help of an extensive literature review and real-world cases, our research focusses on key elements of strategic human resources and then establishes the linkages between the contribution of individual employees and HR policies towards the achievement of these crucial elements. The findings suggest that the aggregation of individual contributions and HR practices lead to the development of resilience in organisations and helps them to deliver better on all critical indicator of performance. The research has important implications for all important stakeholders including scholars, practitioners, and policymakers, among others. Organisations are also crucial for ensuring the well-being of the masses as their contribution in terms of taxes and duties becomes instrumental in funding various social welfare programs run by governments across the globe. The research is unique in the sense that it draws the linkages between organisations’ resilience and their performance through the creation, development, and management of strategic human resources.

Decisions about strategies to be implemented and organization design are important in having competitive advantage for companies. Although this statement widely takes place in management literature, very little research has been done on this subject in Turkey. The aim of this study is to examine the mediating role of competitive strategies in the impact of organizational flexibility on competitive advantage in order to extend about empirical literature of the structure-strategy-competitive advantage paradigm based on the resource-based view (RBV). In this context, the data were collected from the top 500 industrial enterprises in Turkey. The data were tested via structural equation model. The findings of our research show that the direct effect of organizational flexibility on competitive superiority was marginally significant and when three different competitive strategies were included between these two variables in the model, the marginally significant effect of organizational flexibility on the competitive advantage disappeared. In other words, the full mediating role of applied competition strategies in the effect of organizational flexibility on competitive advantage has been identified. Our findings are similar to the findings of other studies that consider organizational structure as a valuable resource and examine the relationship between the structure and the strategy according to the RBV.

The purpose of this chapter is to identify and analyze various critical success factors (CSFs) that can facilitate retailing business in Thailand. This chapter further aims to understand the mutual interactions among these CSFs through identification of the hierarchical relationships among them. A framework for Thai retailers has been developed, wherein the hierarchical interrelationships between identified CSFs have been presented and interpreted using total interpretive structural modeling (TISM). Cross-impact matrix multiplication applied to classification analysis has been further employed to identify the driving power as well as dependence power of these CSFs. In the present research, 15 CSFs have been identified through literature review and expert opinions. The methodology employed in this study provides a mechanism to conduct an exploratory study by identifying the factors and analyzing their interactions through the development of a hierarchical framework. The proposed framework developed through qualitative modeling is an effort to understand relevant factors that can apply to the Thai retailers. This study makes a significant contribution in the literature of retailing business, which captures the perspective of different customers.

Purpose: The study aims to extract insights into five significant industries, pharmaceutical, space, defence, renewal energy, and information technology (IT), which have huge potential to make India achieving a five trillion-dollar economy in the future.

Design/methodology/approach: The authors focus on future-driven industries which are not only making India a third highest gross domestic product (GDP) producer country but also reviewing the different aspects of these industries and how they can assist India in achieving a five trillion-dollar economies along with determining India’s self-reliance through different governments initiatives in this direction.

Findings: The findings highlight the importance of inclusiveness of policymakers, stakeholders, private players, foreign investors, and the masses. Their significant contributions especially in the pharmaceutical, space, defence, renewal energy, and IT sectors in terms of creativities, innovations, intellect, executions, implementations, and improvements can assist India in achieving its five trillion-dollars economy soon.

Practical implications: This study offers (1) convincing insights into five key industries, pharmaceutical, space, defence, renewal energy, and IT, which have huge potential to increase total GDP volume shortly and (2) the investment areas for the masses where they can see their world not only self-reliant but also will see huge growth in their invested amount in these industries in future.

Originality/value: The insights of five key industries, pharmaceutical, space, defence, renewal energy, and IT, highlight that India has the potential to achieve a five trillion-dollar economy in the future; however, it does not ignore the significant contribution of other industries in making of total GDP.

The purpose of the chapter is to develop a framework strategy of highly efficient decision-making in modern business systems, which defines subjects, conditions, limitations, and resources that are necessary for successful practical implementation of the mechanism of highly efficient decision-making in modern business systems.

The set goal is achieved with the help of the methods of strategic modeling of dynamic economic systems and the method formalization.

A framework strategy of highly efficient decision-making in modern business systems is developed. The presented strategy has the following advantages as compared to the existing strategies, based on regional models of this process: flexibility of subjects of making of managerial decisions, presence of limitations, consideration of the time factor during organization of the process of making of managerial decisions, and mandatory connection to current conditions in which the business system functions.

The developed strategy showed importance and necessity for increasing the flexibility of management of modern business systems for supporting their competitiveness, sustainability, and high effectiveness in the changing business environment. In view of the fact that the presented strategy is oriented at high volatility of the conditions of the business system, it should be applied in practice at the downward phase of the economic cycle – that is, in the period of economic crisis and post-crisis restoration of economy.

This study gauges the profitability and performance of Indian commercial banks under the technology advancements. In this study, the authors identified three domains that give advantage to banks due to technology incorporation, that is, increased sales revenue, reduced operating expenses, and increased employee productivity. The authors assess the effect of these domains on banks’ profitability and performance. This study is conducted for the period between the years 2003 and 2018 across 34 public and private banks for empirical analysis. The authors examined the impact of investment in technology on the profitability using panel data analysis and evaluated the long-term effect of technology investment using the vector error correction model. This study found that there is a mixed effect of technology spend on the profitability and performance of Indian banks, where private sector banks are more aggressive in technology investment as compared to the public sector banks. This study recommends an optimal technology-related strategy to gain improved productivity for the banking business, that is, planned technology reserves, customer awareness campaigns about technology-enabled products, and robust employee–customer motivation policy.

Purpose. This chapter discusses the challenges and different strategies to increase skill development for the future workforce.

Methodology. Multiple sources on the topic were studied and reviewed in this chapter. The idea of skill and its development is discussed in the literature review.

Findings. Different nations’ governments have promoted human capital development by providing up-skilling and retraining programs to balance supply and demand. Skills gaps need to be brought to the attention of stakeholders, such as governments, businesses, and the educational system. Teachers, employers, and other stakeholders need to develop strategies and action plans to ensure that the skills gaps are appropriately identified and adequately addressed. These initiatives must be developed with input from various stakeholders.

Practical Implications. The research results would inform the curriculum, incorporating skill development processes tailored to various scenarios. These findings would aid business organisations in crafting skill development programs that address identified skill gaps. Challenges in skill development would be taken into account during course development, and relevant teaching–learning materials would be created. Key stakeholders, such as accrediting organisations, employers, and students, should exert more influence on academic institutions to prioritise societal demands for economic development.

Originality/Value. The uniqueness and significance of this chapter lie in its concise summary of the strategies to tackle the hurdles in skill development.

Over the decades, the child sex ratio (CSR) is found to be declining in India. Declining CSR has been one of the biggest social problems in India; the problem is assumed to be deep-rooted because economic growth or social progress fails to correct the adverse CSR in India. The proposed research tries to evaluate the impact of women's agency along with some affirmative actions (toward empowering women) on CSR in India. The role of women's agency is assumed to be significant toward correcting the adverse CSR. However, it is confined to two variables like female literacy rate (FLR) and female work force participation rate (FWFPR). Women agency should take into account women's ability to make effective choices and to transform those choices into desired outcomes. Therefore, in order to explore the effect of some affirmative actions in explaining the variations of CSR across the states in India, three popular schemes, namely, Self Help Group (SHG), Rashtriya Mahila Kosh (RMK), and Kishori Shakti Yojana (KSY), are used in the present analysis.

Pooled regression shows that FWFPR has a positive impact on CSR but FLR has a nonlinear relationship with the CSR. It is found that the SHG has positive but the KSY has negative effect on CSR; the other variable like RMK does not play any significant role toward variations of CSR. States showing higher concentration of ST population are found to be conducive to favorable CSR compared to SC population. Per capita net state domestic product (PCNSDP) has a similar effect like FLR. This study also finds significant discriminating role (against female child) of major states compared to minor states and UTs. Therefore, the role of women's agency toward improving CSR needs to be highlighted more profoundly in Indian context.

The chapter explores factors that help define ‘socially responsible value chains’, in which firms create and deliver goods and services that provide social and economic value, but minimize negative externalities, operate in environmentally and socially sustainable ways, and address the concerns of all stakeholders. We use the case method to capture nuances of complex value-chain relationships extending into the unfamiliar territory of emerging markets. We chose three cases, involving Apple, Nike and Nestle, which have become landmarks in corporate responsibility policy and practice. We identify fundamental questions pertaining to social responsibility that arise when firms’ value chains extend across countries and deep into the bottom of the pyramid, and discuss how information gaps, institutional environment and socio-political actors affect outcomes. The chapter provides value by defining the role of governments, inter-governmental organizations, NGOs and managers in creating socially responsible value chains, and laying out specific recommendations.

Introduction: China released an action plan in 2015 to foster the growth of big data, demonstrating that big data development has become an essential and inescapable choice for stabilising growth, advancing reform, adapting structures, helping people’s livelihoods, and supporting government modernisation. The rudimentary ecology of the big data sector, combined with a favourable policy climate, creates ideal conditions for developing big data in China. The use of big data, on the other hand, has steadily shifted from a theory to reality, thanks to the explosive increase of data resources and the rise of specialised big data firms. Globally, the insurance industry is undergoing a technological revolution. The internet, mobile networks, social networks, cloud computing, and big data are all examples of digital technologies that progressively influence daily business operations and will usher in a golden era for the insurance industry.

Purpose: This chapter aims to understand the use of big data in the insurance industry innovation and the challenges insurance companies face. This chapter will also offer insight into the big data strategies of insurance companies.

Methodology: This chapter attempts to study literature reviews related to big data and examines the use of big data in the insurance industry. Also, different techniques associated with collecting big data and an assortment of big data sources are analysed in the context of the developing insurance industry.

Findings: This chapter helps us understand how big data innovations are useful for the insurance industry. The present chapter helps us in understanding the challenges faced by insurance companies. This chapter will also offer insight into the big data strategies of insurance companies.