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In this chapter, we review the historical development of elite theory, and then we propose a way forward beyond it. Elite theory emerged as a critique of democracy in the late 19th century. Although it used historical materials illustratively, it tended to be ahistorical theoretically because its primary aim was to demonstrate the perdurance of elites even in conditions of mass suffrage. Lachmann was the first scholar to develop elite theory as a truly historical and explanatory framework by combining it with elements of Marxism. Even Lachmann's theory, however, remained inadequate because it did not rest on a fully articulated theory of power. In this introduction, we suggest a “relational power theory” as a remedy to this situation, and we use it to formulate a general heuristic for the study of elites, nonelites, and their interrelationships. To illustrate its utility, we show how it can illuminate the chapters in this volume (though they were not necessarily written for these purposes).

The theoretical background bases on the big data analytics-artificial intelligence (BDA-AI) technologies and supply chain ambidexterity (SCAX) in the firms to assess their sustainability endeavors such as green supply chain management (GSCM) to improve their green communication and corporate image.

Around 220 participants in the manufacturing firms are participants' industry expertise, diverse roles, and representation as key stakeholders.

The results show BDA-AI and SCAX affected on GSCM and found the significant relationships with green communication and corporate image. Green communication was discovered to impact corporate image significantly.

Prior studies are neglected to address the relationship among the AI, powered by rapid computational and BDA breakthroughs, redefines cognitive tasks, achieving feats previously deemed impossible-making implicit judgments, simulating emotions, and driving operations. This study selects manufacturing firms as respondents due to their forefront of BDA-AI and supply chain ambidexterity adoption to benefit the operational efficiency and competitiveness. The firms intricate supply chains, diverse stakeholders, and strategic emphasis on corporate image make it an ideal context to examine the nuanced impact of these technologies.

This paper seeks insights into how multinational enterprises restructure their global supply chains to manage the uncertainty caused by geopolitical disruptions. To answer this question, we investigate three significant geopolitical disruptions: Brexit, the US-China trade war and the coronavirus disease 2019 (Covid-19) pandemic.

The study uses an inductive theory-elaboration approach to build on Organisational Learning Theory and Dunning’s eclectic paradigm of international production. Twenty-nine expert interviews were conducted with senior supply chain executives across 14 multinational manufacturing firms. The analysis is validated by triangulating secondary data sources, including standard operating procedures, annual reports and organisational protocols.

We find that, when faced with significant geopolitical disruptions, companies develop and deploy supply chain structural ambidexterity in different ways. Specifically, during Covid-19, the US-China trade war and Brexit, companies developed and deployed three distinct types of supply chain structural ambidexterity through (1) partitioning internal subunits, (2) reconfiguring supplier networks and (3) creating parallel supply chains.

The findings contribute to Dunning’s eclectic paradigm by explaining how organisational ambidexterity is extended beyond firm boundaries and embedded in supply chains to mitigate uncertainty and gain exploration and exploitation benefits. During significant geopolitical disruptions, we find that managers make decisions in tight timeframes. Therefore, based on the transition time available, we propose three types of supply chain structural ambidexterity. We conclude with a managerial framework to assist firms in developing supply chain structural ambidexterity in response to geopolitical disruptions.

While, supply chain resilience (SCRES) continues to be a dominant topic in both academic and business literature and has gained more attention recently, there is limited knowledge on SCRES capabilities specific to business functions. The purpose of this paper is to identify and investigate capabilities shared between supply, operations and logistics that are most important for SCRES.

To address this gap, the authors followed a multi-method research approach. First, the authors used the grounded theory method to generate a theoretical framework based on interviews with 51 managers from five companies in automotive SCs. Next, the authors empirically validated the framework using a survey of 340 SC professionals from the manufacturing industry.

Five significant capabilities emerged from the qualitative study; all were significant in empirical validation. This research advances the knowledge of SCRES as it informs managerial decision-making by identifying capabilities common to supply, logistics and operations that impact SCRES.

This research advances the knowledge of SCRES as it informs managerial decision-making by identifying capabilities common to supply, logistics and operations that impact SCRES. In addition, the findings of this research help managers better allocate resources among significant capabilities.

Existing literature is limited in its ability to consider start-ups as a knowledge broker to trigger innovation in a supply chain ecosystem (SCE). In a traditional SCE, start-ups are relatively isolated, leading to structural holes that limit knowledge sharing among members. This paper aims to overcome that limitation and to build frameworks that help to illustrate the interaction between knowledge management and sharing, start-up innovation and an ecosystem from a supply chain perspective.

Following a qualitative approach, this study theorizes about the role of start-ups as knowledge brokers and the implications of knowledge management and sharing with members in an SCE concerning innovation. Conceptual analysis is used for examination, and this study uses a set of qualitative tactics to interpret and generate meaning from the existing literature.

This study develops two frameworks to provide insight into how start-ups can trigger innovation as knowledge brokers in an SCE. The first framework shows how start-ups, and their knowledge base, influence supply chain members and the overall ecosystem, highlighting the isolated function of start-ups and the issue of structural holes in a traditional SCE. The authors propose a model that illustrates how structural holes can be bridged within an SCE, thereby demonstrating how start-ups redefine the ecosystem architecture according to their knowledge broker position in the SCE.

By expanding insight into the concepts of how start-ups can trigger innovation as knowledge brokers in an SCE, this paper extends the so-far neglected area of start-ups and knowledge brokers. This study clarifies the conceptual and theoretical components and processes in an SCE and links the different roles of start-ups as knowledge brokers to the respective supply chain members to better understand the implications on the entire SCE.

There is evidence of emerging silos separating research and practices in heritage. Creating spaces where researchers and practitioners collaborate and learn from their exchanges is therefore needed. This premise was the foundation of the pilot phase for the World Heritage Leadership Heritage Place Lab that allowed eight teams from different geocultural contexts to come together to develop research agendas. This paper provides observations about how these agendas relate to key strands in critical heritage research globally. It complements the other papers in this Special Issue that describe the case studies in detail.

A keywords approach has been used to identify areas where shared research agendas can advance both heritage practices and academic interest in the field of heritage studies. This was based on the observations made by the author during the pilot phase of the Heritage Place Lab and the research agendas produced by the research-practice teams. The approach is exploratory and experimental, inviting other contributions.

Twenty keywords are identified and explored via both academic literature and the research priorities identified by the research-practice teams that participated in the pilot.

A keywords approach is relatively untested in the field of heritage studies. Recognizing that commonly-used terms (or words) have fluid meanings across disciplines and practices potentially opens new dimensions to the dialogue between heritage practitioners and researchers.

Developing a lean supply chain is a continuous improvement effort, so it requires tracking the implementation progress by assessing the achieved level of leanness. However, lean supply chain practices depend on firm-to-firm relationships and an assessment method should consider these network interactions. Given the absence of such a method, this study aims to propose an alternative approach for assessing the leanness level of supply chains.

The authors extracted 18 typical lean supply chain practices from the literature, constituting the leanness assessment parameters. Then, the authors developed an assessment method based on the graph-theoretic approach due to its properties of capturing the interdependencies between elements of a system. The authors tested the proposed method in an automotive supply chain, selecting the focal firm and three of its first-tier suppliers.

The authors positioned partial and overall results in a visual classification scale and the supply chain presented a moderate leanness level. After empirical testing, the proposed method demonstrated its practical feasibility.

This paper contributes to the literature with a novel approach for supply chain leanness assessment. However, to increase its generalizability, it would be beneficial to test the method in non-automotive supply chains, extending the assessment scope to downstream firms and second-tier customers and suppliers.

For practitioners, this paper provides a self-assessment tool to monitor the supply chain leanness and set priorities for improvement.

Besides tackling the interrelationships between firms, the proposed method considers the interdependencies between lean practices, providing partial and overall feedback to enable a systemic assessment.

The purpose of this article is to discuss the theme of managing operations and supply chains in the so-called “new normal”. It reflects the themes emerging from recent research and how these might be conceptualized.

The article reviews research presented at the EurOMA 2021 conference and eight papers subsequently developed into full journal papers. It considers conceptual themes contained in these papers and how they reflect recent turbulent events in the external business environment.

The article notes the themes of resilience in relation to the Covid-19 pandemic, environmental sustainability, especially climate change and the Sustainable Development Goals, and the significance of digital technologies. Additional themes relating to inter-organizational relationships, complexity and manager cognition are also considered. In order to provide useful insights for future disruptions, general concepts on epistemology and responsiveness are described.

The article discusses general principles across cutting-edge research in operations and supply chain management, to support improved performance to add economic and social value.

The purpose of this study is to evaluate children’s perceptions and attitudes towards sponsorship transition, specifically the change from Nike to PUMA as kit sponsors for Manchester City Football Club (MCFC) in July 2019.

A sample of 368 children, between 7 and 16 years of age were recruited for the study. Using electronic diaries, 1,577 diary entries were captured between February 2019 and March 2020.

Data reveals that children conceptualise sponsorship as a social exchange, with sponsoring brands seen as human entities and interaction with them reflecting the dynamism of social and familial relationships. Consequently, children in this study demanded prosocial and interpersonal behaviours from sponsors and sponsee during the transition period.

The research has an immediate and direct application for brand managers and the sponsee when considering terminating long-term sponsorship. Both the departing and incoming sponsors can maximise their relationships with these younger fans through an orchestrated departure, arrival and dedicated handover.

The findings enable marketing brand managers to effectively evaluate sponsor transition to maximise opportunities to maintain, and indeed start, brand relationships with younger fans.

This is the first study that has examined sponsorship children’s responses to sponsorship transition.

This paper aims to develop a conceptual taxonomy for building requisite knowledge capabilities for different supply chain network (SCN) types. Specifically, it examines knowledge capabilities required for three types of SCNs: efficient, collaborative and agile SCNs.

This paper integrates two bodies of thought (i.e. knowledge management and organisational learning) and applies them to SCNs. An abductive research process is used to develop this conceptual taxonomy.

The conceptual taxonomy details three archetypical knowledge capabilities – exploitation, exploration and ambidextrous. Those knowledge capabilities are required for efficient, collaborative and agile SCNs, respectively.

This paper is conceptual and theory-based. The next stages of the research seek to further strengthen the explanatory value of the taxonomy through empirical validation.

The taxonomy developed in this paper provides a valuable and pragmatic tool for managerial decision-making in the context of SCNs. Specifically, it provides a roadmap for practitioners since the study develops an understanding of the relationship between knowledge capabilities and types of SCNs.

This is one of the earliest studies that attempt to unearth requisite knowledge capabilities for different types of SCNs.