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The purpose of this paper is to explore the reasons for the discontinuation of sports sponsor–sponsee relationships and categorize them. Despite the negative outcomes of a sponsorship dissolution, research on this topic is rather scarce.

The paper relies on an analysis of 24 historical cases and 19 in-depth interviews focusing on the Dutch soccer league. Several sponsorship disruptors are identified and clustered into four categories.

The four categories for sponsorship dissolution are the following: sponsor-related factors, sponsee-related factors, inter-relational factors and external factors. In total, ten sponsorship disruptors are identified: insufficient value creation, objectives achieved, sports results, signal to society, exclusivity, negativity, personal relationship, changed marketing strategy, financial situation and legislation and regulation.

This study primarily investigates soccer sponsorship cases. Future research could investigate other sponsorship areas, which could yield different reasons for sponsorship termination.

Practitioners are advised to view the sponsorship relationship as a strategic alliance, rather than a resource, from the beginning of the sponsorship. A solid relational framework is needed, which is built around the elements of trust, commitment and collaborative communication. If such a foundation does not exist or has eroded, the sponsorship relationship is fragile and can be endangered by various factors.

This study uses inductive reasoning to devise a framework that enables sponsees to anticipate when sponsors are likely to discontinue their sponsorship such that the sponsees can take actions accordingly. Apart from validating existing reasons for sponsorship dissolution, this research also presents novel and previously undiscovered sponsorship disruptors.

This paper aims to investigate the ways in which “non-collaborative co-creation” can affect brand equity as perceived by independent observers. It reports a study of the different effects on that perception attributable to non-collaborative co-creation that takes the form of either “brand play” or “brand attack” and is executed either by established artists or mainstream consumers.

A 2 × 2 between-subjects experiment (brand play versus brand attack; consumer versus artist) measured observers’ perception of brand equity before and after exposure to purpose-designed co-created treatments.

Non-collaborative co-creation has a negative effect on observers’ perceptions of brand equity and brand attack, causing a stronger dilution of brand equity than brand play. Artists either mitigate the dilution or have a positive effect on those perceptions.

Future research could usefully investigate the relative susceptibility of brands to non-collaborative co-creation, the effects on brands of higher complexity than those in our experiment, exposed in higher-involvement media, and the effects of more diverse forms of co-creation.

Brand managers must recognise that co-creation carries considerable risks for brand equity. They should closely monitor and track the first signs of non-collaborative co-creation in progress. It could be beneficial to recruit artists as co-creators of controlled brand play.

This study offers a more complete insight into the effect of non-collaborative co-creation on observers’ perceptions of brand equity than so far offered by the existing literature. It connects the fields of brand management and the arts by investigating the role and impact of artists as collaborative or non-collaborative co-creators of brand equity.

This paper aims to analyse the general effect of co-created products on the brand equity of observers (OBBE). The influence of different implementations of the co-creation approach on the OBBE is tested. It is also discussed whether co-creation can be a strategic method for companies to positively affect the OBBE in the mass market.

A between-subject experiment with a 2 (intensity of integration: democratically voted vs commonly created) × 2 (expert knowledge: no expert knowledge vs expert knowledge) design plus one control group (zero co-creation) is conducted for two brands to test the postulated hypotheses.

Co-creation can have a weak positive effect on the OBBE. Integration intensity and expertise of integrated consumer also affect the OBBE only marginally.

Further research might investigate whether the initial brand equity has a moderating effect. Also brand image and underlying product category could influence the relation between co-creation and the OBBE and would be valuable for future studies.

Brand managers should aim to convert observers into participants, instead of setting the focus on the presentation of the user-designed product to the mass market.

This study is one of the few analyzing the effects of co-creation on observers in terms of brand equity. In addition to existing research, the concept of expertise in combination with co-creation and its influence on the OBBE is explored.

This paper aims to present historical examples of collaborations between brand strategists and artists; provide an extensive, structured overview of existing published research on such collaborations and their effects; present seven papers comprising this special issue; and discuss ideas for further research into brand–art collaboration.

This is an editorial based mainly on an extensive and broad literature review.

First, this editorial underpins the relevance of brand–art collaboration in the past and present by reference to real examples. Second, it structures the diverse literature into four key aspects of the topic: inspiration, insights, identity and image. Third, it provides a glimpse of the seven papers selected for this special issue. Fourth and finally, it identifies a total of 16 avenues for further research, on four levels (artist, brand owner, consumer and cooperation process).

This editorial and the entire special issue together represent the first anthology on the topic of the interface between brand management and arts. The collection and classification of the existing literature, the formulation of ideas for future research and the content of the seven papers are collectively excellent starting springboards for new and fresh brand research projects.

This paper positions market sensing, supply chain agility and supply chain adaptability as a coherent cluster of dynamic supply chain capabilities. The purpose of this paper is to understand how dynamic supply chain capabilities interrelate and their effect on supply chain ambidexterity.

Based on a survey of Pakistani manufacturing firms, a theoretically-derived model was tested in a structural equation model.

The results of the study show that a market-sensing capability is an antecedent of supply chain agility and supply chain adaptability. Furthermore, supply chain agility, directly, and supply chain adaptability, indirectly, affect supply chain ambidexterity. Supply chain agility, therefore, mediates the relationship between supply chain adaptability and supply chain ambidexterity.

The contribution of this study lies in: first, identifying dynamic capability clusters relevant for achieving supply chain ambidexterity; second, evaluating performance implications of dynamic capabilities in the supply chain, specifically supply chain agility and adaptability; and third, proposing a unique measurement of supply chain ambidexterity in the light supply chain theory, and empirically evaluating the relationship between dynamic capabilities and supply chain ambidexterity.

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).

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.

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.

Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose of this paper is to develop and validate a dynamic SCAC model and assess both its direct and indirect impact on FPER using analytics-driven SCAG as a mediator.

The study draws on the emerging literature on big data, the resource-based view and the dynamic capability theory to develop a multi-dimensional, hierarchical SCAC model. Then, the model is tested using data collected from supply chain analytics professionals, managers and mid-level manager in the USA. The study uses the partial least squares-based structural equation modeling to prove the research model.

The findings of the study identify supply chain management (i.e. planning, investment, coordination and control), supply chain technology (i.e. connectivity, compatibility and modularity) and supply chain talent (i.e. technology management knowledge, technical knowledge, relational knowledge and business knowledge) as the significant antecedents of a dynamic SCAC model. The study also identifies analytics-driven SCAG as the significant mediator between overall SCAC and FPER. Based on these key findings, the paper discusses their implications for theory, methods and practice. Finally, limitations and future research directions are presented.

The study fills an important gap in supply chain management research by estimating the significance of various dimensions and subdimensions of a dynamic SCAC model and their overall effects on SCAG and FPER.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

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.

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.

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.

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.

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.

The purpose of this paper is to propose a scalable conceptual framework for governance of supply chain (SC) information flows by re-contextualizing the organizational concept of information governance as an SC concept.

This study leverages the strategy-structure-process-performance (SSPP) theory base to explain how effective SC information governance relates to improved internal SC performance. Via an in-depth literature review followed by conceptual theory building, the key features of organizational-level information governance are cast into a theoretical framework.

This study presents the theoretical framework that explains how SC information governance should contribute to improved internal SC performance. The proposed framework provides a theoretical basis for future research on SC information governance and would become a useful first step to extend the concept of SC information governance at the SC level.

SC managers should be aware that information governance mechanisms, rather than the management of basic, information flow-directed processes, to yield the best performance outcomes. Because of the numerous touch points information has in complex SCs, managing the quality of SC information through broader, higher-level governance standards is more important than maximizing connectivity and information flows, and information governance structures/policies across organizations should be designed accordingly.

This study theoretically links SC information governance and internal SC performance via information quality. It also advances the understanding of SC information flow by challenging the implicit but flawed assumption that uniformity of information quality within the supply chain to create the best outcomes.

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.

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.