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Today, customers’ perceived value does not only depend on the products, but also on the services provided by a firm. In e-commerce, it is important to shift the focus beyond the product and discuss the value of personalized services in the context of e-commerce fulfillment. Therefore, the purpose of this paper is twofold: to develop a conceptual framework proposing satisfaction through personalized services as a middle-range theory; and to suggest foundational premises supporting the theoretical framework, which in turn shape middle-range theory within the context of apparel e-commerce fulfillment.

In this theory-driven paper, the authors apply the scientific circle of enquiry, as it demonstrates the role of theorizing with the help of middle-range theory and empirical evidence and as such provides a methodological scaffolding that connects theory formulation and verification. The authors synthesize literature related to customer perceived value (CPV) and satisfaction, followed by abduction focusing on understanding the empirical domain as it occurred in practice from company cases. The presented case studies are based on semi-structured interviews with three Swedish online retailers within the apparel industry. The theory-driven analysis results in suggestions of foundational premises.

Based on the theoretical foundations and empirical generalizations, three propositions are suggested. The premises regarding satisfaction through personalized service applied in the domain of apparel e-commerce fulfillment are: to ensure customer satisfaction requires a value co-creation perspective using data during the pre-purchase phase; to ensure customer satisfaction and retention require added-value perspective during the post-purchase phase of the shopping journey; and to ensure satisfaction and convenience require an added-value perspective at the last mile.

The apparel firms lose a substantial amount of revenue because of poor online customer satisfaction, leading to e-commerce not reaching its full potential. To enhance customer value, online retailers need to find a resort in advanced technologies and analytics to address customer satisfaction, and it is suggested that retailers shift their focus beyond the products and find ways to improve personalized service offerings to gain market advantage, improve fulfillment, drive sales and increase CPV.

To consider personalized services as a source for improving e-commerce fulfillment and CPV, the main contribution of this study is conceptual as it presents a theoretical model developed from general theory, middle-range theory and verified with empirical claims.

This paper aims to strive to close the current research gap pertaining to potential implications of the blockchain for supply chain management (SCM) by presenting a framework built on four established economic theories, namely, principal agent theory (PAT), transaction cost analysis (TCA), resource-based view (RBV) and network theory (NT). These theories can be used to derive research questions that are theory-based as well as relevant for the industry. This paper is intended to initiate and stimulate an academic discussion on the potential impact of the blockchain and introduces a framework for middle-range theorizing together with several research questions.

This paper builds on previous theories that are frequently used in SCM research and shows how they can be adapted to blockchain-related questions.

This paper introduces a framework for middle-range theorizing together with several research questions.

The paper presents blockchain-related research questions derived from four frequently used theories, namely, PAT, TCA, RBV and (NT). These questions will guide future research pertaining to structural (PAT, TCA) and managerial issues (RBV, NT) and will foster middle-range theory development in SCM research.

Blockchain technology has the potential to significantly change SCM. Given the huge investments by industry, academic research is needed which investigates potential implications and supports companies. In this paper, various research questions are introduced that illustrate how the implications of blockchain on SCM can be investigated from different perspectives.

To the best of the author’s knowledge, no academic papers are published in leading academic journals that investigate the relationship between SCM and blockchain from a theory-based perspective.

This study aims to explore the serendipitous discovery of integrated reporting (IR) by Alpha, an Italian small and medium-sized enterprise (SME). Alpha piqued the curiosity when the authors discovered that it experimented with IR alongside other management accounting practices, such as the Balanced Scorecard. As the authors reflected on Alpha’s experiences, the authors had to opportunistically develop a new framework to understand the change that was taking place at Alpha fully. Thus, the authors developed the serendipitous drift framework. This study contributes to addressing the gap between management accounting research that sees change as a planned, ordered process versus research that sees it as an unmanageable drift.

The authors ground the research on a qualitative methodology based on a single case study. This methodology allows us to focus on understanding what has happened at Alpha to discover new themes and provide theoretical generalisations. The authors developed the framework using middle-range thinking and fleshed it out using empirical findings from the case study. Middle-range thinking implies going back and forth between the theory and the empirical material. Therefore, the authors develop the serendipitous drift framework from prior theories and use it to inform the empirical study. In turn, the empirical material collected in Alpha helps refine and flesh out the serendipitous drift framework. The framework explains how Alpha leveraged serendipity to steer change towards favourable outcomes for them.

The authors find that the search for change undertaken by Alpha’s managers was non-specific but purposeful. Their dispositions were sagacious enough to recognise the potential value found in management accounting practices, such as IR and the Balanced Scorecard. They chanced upon new and unforeseen practices through trial and error, iteration, internal engagement and networking.

Overall, the results indicate that Alpha’s managers shaped the disorder of management accounting changes, even though it followed unexpected, uncertain and messy paths. Indeed, appropriate informal controls can act as a frame of reference for choosing, adapting and implementing new management accounting practices to shape the disorder. Informal controls can both guide and bound the experimentation process towards desirable outcomes.

The authors contribute to management accounting change theory by developing a framework rooted in serendipity and drifting theories. The framework identifies how searching, sagacity and chance are essential for making positive, unexpected discoveries. Therefore, the authors provide novel insights on how and why IR and other management accounting practices are eventually translated and adopted in the case company. Moreover, the serendipitous drift framework has the potential to help managers frame cultural controls to actively seek opportunities for valuable serendipitous eureka moments through networking and experimentation.

Supply chain (SC) professionals and their competence play a key role in creating value and competitive advantage for companies. A considerable amount of this competence is developed at work, but little is known about how this takes place. Drawing on constructivist learning theory, the authors investigate how SC professionals develop their competence at work.

The study takes off from a theoretical framework of workplace learning mechanisms, followed by a series of in-depth interviews with an expertise panel of profoundly competent and experienced SC professionals.

The results provide detailed insights into the learning process of SC professionals. The key findings show that SC professionals use a wide range of learning mechanisms throughout their careers, and that the contribution and complexity of these mechanisms differ and change dynamically with seniority. The findings also show that learning mechanisms should not be viewed as isolated phenomena, but closely related to every-day SCM work as well as learning attitude.

By conceptualizing learning as a process, and congregating the fragmented literature into a framework of workplace learning mechanisms, this research provides a theoretical reference point for future studies. The empirical findings bring a new level of detailed knowledge on how SC professionals learn at work.

The results can assist SC professionals, HR managers and academic program leaders in their quest to develop competence in the field of SCM.

This paper makes a unique contribution to the human aspects of SCM literature by presenting the first study that investigates in depth the crucial but complex process of how workplace learning takes place for SC professionals in practice.

The purpose of this paper is to introduce translational mobilization theory (TMT) and explore its application for healthcare quality improvement purposes.

TMT is a generic sociological theory that explains how projects of collective action are progressed in complex organizational contexts. This paper introduces TMT, outlines its ontological assumptions and core components, and explores its potential value for quality improvement using rescue trajectories as an illustrative case.

TMT has value for understanding coordination and collaboration in healthcare. Inviting a radical reconceptualization of healthcare organization, its potential applications include: mapping healthcare processes, understanding the role of artifacts in healthcare work, analyzing the relationship between content, context and implementation, program theory development and providing a comparative framework for supporting cross-sector learning.

Poor coordination and collaboration are well-recognized weaknesses in modern healthcare systems and represent important risks to quality and safety. While the organization and delivery of healthcare has been widely studied, and there is an extensive literature on team and inter-professional working, we lack readily accessible theoretical frameworks for analyzing collaborative work practices. TMT addresses this gap in understanding.

While remanufactured products represent an increasingly researched phenomenon in the literature, not much is known about consumers' understanding and acceptance of such products. This study explores this issue in the context of the theory of perceived risk (TPR), investigating return policy leniency and distribution channel choice as potential factors to foster remanufactured products' sales.

This research utilizes an experimental design composed of a pre-test and a scenario-based main experiment to explore how return policy leniency might mitigate consumers' perceived risk and how their related purchase intention differs across two types of retail distribution channel structures (i.e. brick-and-mortar vs. online).

The investigation into the efficacy of return policy leniency within two retail distribution channel settings (i.e. brick-and-mortar vs. online) illustrates that providing a lenient return policy is an effective “cue” in increasing consumer purchase intention for remanufactured products. While prior literature has established that consumers value return policy leniency for new products, the authors provide empirical evidence that this preference also applies to remanufactured products. Notably, that return policy preference holds true in both channel settings (i.e. brick-and-mortar vs. online) under consideration. Additionally, and contrary to the authors’ predictions, consumers perceived remanufactured products sold via both channel settings as equally risky, thus highlighting that both are appropriate distribution channels for remanufactured products. Finally, while research on new products provides some initial guidance on consumer perceptions of quality and risk, the study provides empirical evidence into the difference of perceived risk with regard to new versus remanufactured products.

By employing the TPR, this research explored the role played by two supply chain management related factors (returns policy and channel structure) in reducing consumer's perceived risk and increasing purchase intention. In doing so, this study answers the call for more consumer-based supply chain management research in a controlled experimental research setting.