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This chapter investigates the potential of integrating multiple criteria decision-making (MCDM) techniques with decision support systems of digital supply chain management (DSCM) to achieve optimal outcomes. Digital supply chain (DSC) employs digital technologies (DTs) such as artificial intelligence (AI), Internet of Things (IoT), and big data analytics to provide extensive datasets and valuable insights pertaining to supply chain operations. MCDM techniques employ these realizations to facilitate informed decision-making through the assessment of multiple competing criteria. Usually MCDM approaches are used in the academic research with comparatively lesser application in industry. We argue that MCDM methodologies can play an instrumental role in DSCM, specifically in the areas of supplier selection, demand forecasting, and inventory management. Nevertheless, the integration of MCDM like AHP, ANP, DEMATEL, etc., with decision support systems presents several challenges, including concerns regarding the quality of data and the intricate task of assigning weights to various factors.

For the past few years, in a purely competitive and dynamic environment, the supply chain plays a crucial role to adapt the business as it is very contingent on collaborative integration as well as flexibility. Many specialized applications are implemented to improve the flow control of the supply chain. One of the most important new technological applications in the supply chain is blockchain technology which has garnered the attention of many business owners as this technology can be quickly adapted to the dynamic business environment. Blockchain technology has been gaining importance and acceptability over the past few years. Blockchain technology has found significant success in all fields, including the banking and finance sector, health, manufacturing, transportation, and many others. Recently, the researchers have contributed significantly toward understanding blockchain technology and its application in the organizational and technology-specific factors that play a crucial role in driving its adoption in the supply chain. Blockchain technology plays a vital role to maintain trust among the stakeholder of the supply chain. The purpose of this chapter is to discuss a theoretical framework for blockchain adoption in the supply chain in business. The outcomes of this chapter endorse that companies invest in blockchain technology so that the supply chain becomes more transparent, flexible, and secure. In the end, this chapter has also given contemplations on the security issues of implementing blockchain in the field of collaboration and integration.

One of the fundamental objectives of adopting digital supply chain (DSC) is to uplift the performance of an organization. Although a wide variety of literature confirms the impact of DSC on performance, it is hard to explore as to which dimensions of the performance is affected by DSC and how much. This chapter undertakes discussion on the impact of DSC on the various organizational performance indicators. The chapter also denotes some major key performance indicators (KPIs) that organization can track to gauge the impact of DSC on performance. A brief discussion on the challenges related to the development, adoption, and continuation of KPIs is also appeared in the later part of the chapter. The chapter concludes by denoting that the utilization of digital technologies (DTs) such as artificial intelligence (AI), the Internet of Things (IoT), and complex analytics in DSC has prospects for enhancing the operational efficiency, transparency, and agility of a supply chain (SC). Organizations that adopt these DTs have experienced better demand forecasting, reduced time order fulfillment time, and higher levels of consumer satisfaction. Nonetheless, the successful use of DSC requires development and implantation of KPIs regularly.

The present chapter discusses evolution, definitions, dimensions, capabilities, and the present state of the art of digital supply chain management (DSCM). The objective of the chapter is to offer a detailed understanding of DSCM, by shedding light on its historical development, exploring its multipronged definitions, and highlighting its core dimensions and capabilities in the contemporary business landscape. The evolution of DSCM appears as a central theme, rooted in the background of industrial revolutions. It starts by relooking at the First Industrial Revolution (IR) with its mechanization and steam power, progresses through the Second IR with electrification and mass production, and arrives at the Third IR, characterized by the rise of computers and the internet. The pivoting transition into the Fourth IR, also called Industry 4.0, marks the start of DSCM with its fusion of digital technologies (DTs) in the supply chain (SC) processes. Analysis of key definitions of DSCMs unveils their role as an enabler of SC collaboration, customer-centric nature, having overarching reliance on DTs. Moreover, the chapter explores the core dimensions of DSCM, exposing its ability to improve SC resilience, sustainability, visibility, efficiency, and agility. These capabilities stem from seamlessly woven DT developments into SC: artificial intelligence (AI), machine learning, the Internet of Things (IoT), and advanced analytics. The chapter concludes by highlighting the present state of the art in DSCM, reflecting its indispensable role in the contemporary turbulent business dynamics. In short, this chapter offers a synthesized view of DSCM's definitions, dimensions, evolution, capabilities, and present status within the larger context of supply chain management (SCM) literature.

Amid public acknowledgment of recurring ethical violations in the volatile financial service industry, internal auditing (IA) professionals do not seem to have done enough to perform their professional responsibility as a line of defense for their employing organizations. This chapter explores whether changes in an IA approach can effectively enable IA as a practice to fulfill its governance role in managing “conduct risk,” i.e., any behavior in a firm that could cause problems to consumer protection, market integrity or competition. We examine the ethical implications of the existing compliance-based IA approach and explain its ineffectiveness in auditing conduct risk within a turbulent environment. Using action research, we explain the germane changes necessary to define a new conduct-focused IA approach capable of predicting and preventing ethical wrongdoing. A conduct-focused approach launches auditors into unfamiliar but strategically critical areas to not only identify material risks but also add value to their organizations. The authors further examine how a change in the auditor’s mindset and other factors promote the effectiveness of the new IA approach in a sustainable way. This chapter contributes to the literature by investigating how internal auditors can better fulfill their professional responsibility when adopting a conduct-focused approach.

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.

Women’s indigenous organizations have existed for years in the Colombian Amazon. Yet, information about their members’ motivations and the opportunities and barriers those organizations face is missing in the literature on the indigenous movement, ecofeminist struggles, and efforts for a good life in Colombia. This chapter analyzes the connection between women’s indigenous organizations and the territory’s efforts to contain climate change. Two sources inform our understanding of the relationship: the systematization of the main program in Colombian institutional history supporting indigenous women’s led associations linked to conservation efforts, “Women Caregivers of the Amazon” and the mapping of indigenous women’s organizations in the region. This chapter offers a critical impact evaluation of the program “Women Caregivers of the Amazon,” analyzing the way in which the ecological native discourse, particularly on environmental practices of indigenous women, has permeated conservation initiatives in the Colombian Amazon. The impact this has had on women’s participation in self-governance and environmental governance remains to be analyzed. However, mapping indigenous women’s organizations in 2021 offered relevant information on those organizations and their care and conservation practices in the Amazon Forest. In turn, the systematization of “Caregivers of the Amazon” results offers an updated analysis of the scope, limitations, best practices, and lessons learned in developing the projects. A longitudinal and comparative analysis of these two sources of information will lead to an understanding of the incidence of intergovernmental and civil society actions for mitigation and adaptation to climate change carried out by indigenous women’s organizations.

This study explores the relations between home and family in times of a pandemic, transporting the family away from the family home and, apparently, from the family itself. Specifically, it focuses art, culture, and society by shedding light on the enduring role of family rituals in creating and sustaining family identity while affirming the role of information and communication technology (ICT), in both the construction and reproduction of the family dynamics amid pandemic times. Reflection is taken upon a live-by-Zoom art exhibition opening. Family photo albums and several artifacts are used to show the family history, and, at the same time, the installed objects and surrounding narratives invite others to imagine the artist’s family as well as each audience member’s own family. The opening took place in March 2021, during the second lockdown in Portugal. Methodologically, the chapter draws on data collected through direct observation and autoethnography. Inspired by an arts-based approach, narrative is built on storytelling sociology, while using writing as a method of inquiry and reflexive composition to overcome the limits of the personal narrative. By the end, it is argued that as families “live” at Zoom, family rituals too. Zoom platform reproduces the family atmosphere, opportunities, and constraints. Looking at the art exhibit opening as a family ritual allows one to think about how individuals experienced family gatherings during the pandemic, but also how art might generate such familial intimacies in such exceptional times.

This article discusses the methodological implications of a recent study on Luxembourg's offshore financial center. Insight from actor-network theory was essential in undertaking its ethnographic research with elites from the country's state and financial institutions. My intention in documenting this approach is to provide a template for ethnographers studying other localized contexts of global politico-economic significance, in which elite actors usually seek to curtail the enquiries of investigators. With this actor-network from Luxembourg as an example, I demonstrate how elite and difficult-to-access milieus can be entered via “networking” coupled with outreach via interviews and email correspondence. As I show, by initiating various modalities of entry into the context in question, ethnographers can establish themselves within an actor-network for the purposes of conducting interviews and participant observation with elite interlocutors.

How can large international financial firms go green in authentic ways? What enhances ‘Net Zero action’? Changes in global banks, fund managers, and insurance firms are at the heart of green finance. External change pressures – combined with problematic firm predispositions – exacerbate barriers to change and promote scepticism about authentic Net Zero change. Field research reveals main elements, connections, and interactions of this question by considering financial firms as complex socio-technical systems (Mitleton-Kelly, 2003). An interdisciplinary/holistic narrative approach (De Bakker et al., 2019) is adopted to design a conceptual framework that can support a green ‘behavioural theory of the financial firm’ (green BTFF). The BTFF presents an international version (Peng, 2001) of the resource-based view (RBV) of the firm (Barney, 1991; Hart, 1995; Teece et al., 1997).

The approach of this chapter is aimed at closing knowledge gaps and realign values in financial markets and society. By raising awareness about organised hypocrisy and facades (Brunsson, 1993; Cho et al., 2015; Schoeneborn et al., 2020) in financial firms the chapter aims at overcoming the gap between ‘talking’ and ‘walking’ in the financial sector. The chapter defines testable firm-level hypotheses for ‘Green Finance’ (Poterba, 2021) as well as – by implication – tests for ‘greenwashing’.