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The purpose of this paper is to inquire into how conceptualising is done in the industrial network approach (INA).

The description and analysis of conceptualising is based on key INA references and an example illustrating the characteristics of conceptualising in individual studies.

The paper concludes that there is an open and interactive way of conceptualising in the INA. The empirical and theoretical grounding achieved through combining concepts in individual empirical studies interplays with conceptual development in the research community over time.

Three paradoxes are suggested for further discussion of conceptualising as a key element in theorising in the INA community.

By explicating how INA researchers engage in conceptualising both in individual empirical studies and as a community, the authors identify characteristics similar to the empirical phenomena in focus of the research: interaction, combining and heterogeneity of concepts.

This paper aims to identify critical factors that influence small and medium-sized enterprise (SME) suppliers’ involvement in their customers’ product development and contrast these with the factors identified from the customer perspective.

A multiple case study approach was used, including four companies. Data were collected through 32 semi-structured interviews, six workshops and documents.

A model is presented that merges this study’s nine identified critical factors with seven critical factors from the customer perspective. The model provides a dual perspective of supplier involvement in product development, wherein the supplier and customer perspectives are concurrently addressed. Some factors are unique for the supplier, but several mirror those on the customer side.

The study is based on data from SME suppliers in Northern Europe. As it is expected that SME companies are more constrained by limited resources, future studies could study critical factors at larger suppliers.

Customers and suppliers having insights about the critical factors can provide better conditions for product development for the other actor; for example, when evaluating customer–supplier integration.

The presented model of critical factors provides a more nuanced picture of supplier involvement in product development as prior research has been biased toward the customer perspective. This study emphasizes the importance of contextual information that has been unnoticed in the literature.

The purpose of this study is to develop a model of a starting situation for relationship initiation in turbulent business networks.

The study is designed as an extreme single case study that takes its point of departure in a company’s bankruptcy in the Swedish automotive industry.

This study illustrates how a new business relationship can start from a resource combination previously controlled by one actor (i.e. a single company) in a turbulent business network, thereby bringing nuances to the common understanding that new relationships start in stable business networks where resource combinations are developed between actors in established business relationships.

Previous studies have stated that the development of a mutual orientation between actors leads to the formation of a business relationship. The business relationship then leads to resource adaptations between the two companies. The developed model, however, illustrates that this pattern can be reversed in situations of turbulence. Hence, previously adapted resources might lead to the formations of a business relationship. Based on this observation, the authors argue that there are reasons to question if previous models of business relationship initiation and development in business networks are adequately equipped for analysis in turbulent business networks.

Digital transformation affected modern society influencing how businesses cooperate and produce value. In this context, Artificial Intelligence plays a critical role. This study aims to explore the role of Artificial Intelligence in organisational positioning within the market, influencing firms' competitiveness. In this vein, this research seeks to respond to the following research question: How does AI impact the competitive advantage of healthcare organizations?.

To tackle the research question, an explorative analysis using the case study method to investigate an international healthcare center in Dubai was conducted. Nine semi-structured interviews were conducted with the head and the members of the robotic surgery team in CMC Dubai to thoroughly understand what the components of the robotic approach are and how the arrangement before the introduction of this innovative technique while shedding light on the added value and the advantages of adopting such technique on both patient safety and patient satisfaction. Additionally, archival data and online documentation (e.g. industry reports, newspaper articles and internal documents) were analyzed to obtain data triangulation.

The results highlight three primary outcomes influenced by implementing AI in organizational processes: clinical, financial and technological outcomes. The study will offer interesting non-studied insights about the implementation of Artificial Intelligence tools in the healthcare sector and specifically robotic surgeries, and to which extent this will contribute and represent a competitive advantage. Results will hopefully insert a brick in the wall of the impact of AI tools on the quality and the results of surgical operations while emphasizing the benefits of integrating AI in surgical practice.

This study offers interesting theoretical and practical implications. It opens a new perspective to understand and manage AI tools in service. This research is not without limits providing valuable insights for future research.

This study aims to add to the understanding of the interactive nature of brand love by using a multilayer perspective that incorporates individual, group and societal contexts.

The qualitative empirical study uses abductive reasoning. Its theories and conclusions are grounded in naturally occurring data from an online brand community. The approach revealed new interactive processes of brand love.

This study extends our understanding of the interactive nature of brand love by adopting a layered perspective incorporating micro- (individual), meso- (in-group), macro- (in-group vs out-group) and mega-layer (societal) social dynamics that complements the predominant focus on individual psychological processes. It challenges the linear, monodirectional trajectory approach to brand love, suggesting that brand love is in constant flux as individuals move across the layers in their identification with the brand.

This study provides data from one destination brand in Finland. Future studies could consider other types of brands and contexts in other countries and cultures.

This study shows brand managers that brand lovers can be divided into subgroups with distinct drivers of their love to which brand managers should attend.

To the best of the authors’ knowledge, this is the first attempt to describe the interactive nature of brand love through interactions between and within four layers of brand love. Furthermore, this study enhances our understanding of the contradictory aspects of brand love.

This paper examines the relationship between marketing automation emergence and the marketers' use of heuristics in their decision-making processes. Heuristics play a role for the integration of human decision-making models and automation in augmentation processes, particularly in marketing where automation is widespread.

This study analyzes qualitative data about the impact of marketing automation on the scope of heuristics in decision-making models, and it is based on evidence collected from interviews with twenty-two experienced marketers.

Marketers make extensive use of heuristics to manage their tasks. While the adoption of new automatic marketing tools modify the task environment and field of use of traditional decision-making models, the adoption of heuristics rules with a different scope is essential to defining inputs, interpreting/evaluating outputs and control the marketing automation system.

The paper makes a contribution to research on the relationship between marketing automation and decision-making models. In particular, it proposes the results of in-depth interviews with senior decision makers to assess the impact of marketing automation on the scope of heuristics as decision-making models adopted by marketers.

An increasing number of last mile deliveries (LMDs) pose many sustainability challenges that retailers and logistics service providers (LSPs) can address. Using cognitive frames (CFs) as a lens, this study explored how retail and LSP managers make sense of sustainable LMDs.

The methodological approach used is a multiple embedded case study. The data were obtained from interviews with retailers and LSPs, supplemented with secondary data for triangulation.

The findings present the operational aspects of LMDs that managers associate with sustainability and indicate that retail and LSP managers frame sustainability primarily as emission reduction. Managers indicate an externalization of responsibility and a compartmentalization of the supply chain, in which social sustainability is not associated with the last mile. Most managers indicate hierarchical CFs regarding sustainability, in which sustainability is an important topic but is subordinate to economic interests.

Collaboration between retailers, LSPs and other stakeholders is viewed as challenging but could alleviate some of the sustainability shortcomings and aid in the paradoxical framing and inclusion of social issues.

A conceptualization of managerial CFs for sustainable LMDs, together with empirical frame indicators and three propositions, is presented, providing novel insights into how paradoxical CFs could make LMDs more sustainable. This approach illuminates the possibilities for how to untangle the operational manifestations of managerial framing and adds to the empirical exploration of CFs in supply chain management.