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The key purpose of the current study is investigating the direct impact of information technology (IT) assimilations, flexible IT infrastructure, and supply chain competencies (supply side, demand side) on the supply chain performance of manufacturing firms. Meanwhile, the study has also estimated the mediating role of supply chain agility (SCA). Among 360 selected respondents for the underlying research, only 267 respondents have responded well and returned them back, thereby indicating 74% response rate for the survey. For the inferential analysis, the Partial Least Square Structural Equation Modeling was performed in Smart PLS 3.0. In context to this study, process compliance is the adherence and the execution of supply chain processes, including the processes related to distribution and production of management processes. On the basis of this theoretical background, the demand and supply-side competence are considered as the firms’ internal aspects. As a dynamic capability, the SCA enables firms to influence and respond to the firm’s external environment. Thus, the presence of such competencies allows to react against market developments. The resource-based view theory supports this argument, and states that competencies is an effective resource for developing dynamic capabilities.

This chapter provides an in-depth look at how digital supply chain management (DSCM) can revolutionize supply chains in the post-COVID world. The COVID-19 pandemic exposed the vulnerabilities of traditional supply chains, highlighting the need for resilience and adaptability. The chapter begins by examining these COVID-induced disruptions, setting the foundation for the discussion on DSCM. DSCM, leveraging advanced technologies and data insights, offers a solution to these challenges, promoting agility, transparency, and sustainability in supply chain operations. This represents a significant shift from traditional practices, equipping organizations to cope with the dynamic postpandemic environment. Key capabilities of DSCM, such as resilience, integration, agility, and risk management, are discussed, supported by real-world examples from leading companies. These examples showcase the successful implementation of DSCM and its benefits in navigating the complexities of modern supply chains. However, the adoption of DSCM is not without challenges, including cybersecurity risks and integration difficulties. The chapter suggests strategies to overcome these challenges, emphasizing the importance of technology, collaboration, sustainability, and data-driven decision-making. By embracing these strategies, organizations can effectively manage their supply chains in the evolving global market, leveraging DSCM to withstand future uncertainties.

In the current era, multiple factors have driven the IS information system to be able to cope with changes caused by internal and external factors that affect the organization’s strategy. A variety of environmental factors can influence organizational capacity and performance and tend to change organizational strategy, including political, socio-economic, financial, and technological changes. At the beginning of the twenty-first century, other changes are expected, such as those associated with cybercrime and artificial intelligence. In this chapter, the authors discuss the concept of agility, the dimension of agility, relevant literature studies, proposed agility models, and the authors propose their conceptual model of strategic agility for IS.

The supply chain is undergoing a significant digital transformation to adapt to the increasingly digitalized and globalized business environment. To remain competitive in this evolving market, businesses must seamlessly integrate digital technologies throughout the supply chain, spanning all stages from procurement to distribution. This chapter delves into models and methodologies critical to digital supply chain (DSC) transformation, with a focus on advanced techniques such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, and data analytics to boost the resilience and agility of supply chain operations. By leveraging practical examples and case studies, the chapter highlights the myriad enhancements digital transformation can introduce across diverse supply chain stages, including sourcing and after-sales service. Additionally, the chapter examines the complexities of cybersecurity, data integrity, and change management within the digital transformation framework, proposing strategies to address these challenges. The insights offered in this chapter will serve as a thorough guide for both practitioners and scholars in the supply chain field, equipping them to adeptly navigate the multifaceted arena of digital transformation.

The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.

This chapter of the book aims to achieve sustainability and productivity in light of the interaction between managers and engineers in a lean and agile supply chain management system in today’s organizations. The main innovation of this chapter is the use of the balanced scorecard (BSC) model and fuzzy analysis network process (FANP) to create a suitable platform for the realization of this interaction between managers and engineers and to identify exactly which expert system is ideal for the main purpose. Indeed, this chapter introduces its readers to the application of strategic management tools such as the BSC accompanied by FANP in the elements of supply chain management where data analysis of lean and agile networks in supply chain management can create a competitive advantage in the organization.

The present business environment of accelerated complexity, ambiguity, uncertainty and volatility seems not to be settling down soon. Today’s business world is consistently bombarded with turmoil and unprecedented change. This makes it very difficult for organisations to accurately predict possible future opportunities and threats. To overcome this scenario, organisations need to fully embrace and implement agility in their operations. However, for organisations to develop a considerable level of agility that corresponds to the current hypercompetitive and volatile environment, premium needs to be placed on agile leadership. Agile leaders are capable of setting the guiding principles, develop strategies and build mechanisms that will lead to smooth transition to organisational agility (OA). These leaders give directions on how to make organisations agile and ensure that there is a leadership culture that models and promotes a holistic agility in the organisation. The primary purpose of this chapter is to establish the position of agile leadership in determining OA. The study departs from previous studies by using empirical reviews to depict the significance of agile leadership and its key roles on OA. Specifically, the concept, evolution and characteristics of OA are explored, as well as its benefits and multidimensional nature are discussed. Furthermore, the chapter sheds light on agile leadership, levels of leadership agility and competencies of successful agile leaders. The chapter concludes that the leadership style suitable for OA is agile leadership. This calls for business investments in agile capacity building and development of frameworks suitable for agile leadership.