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This study aims to examine how lecturers in European higher education institutions perceive the service-learning approach as a teaching concept and feel prepared for its implementation after a short-term training. Service-learning connects theory and practice by allowing students to participate in a service that meets community needs, reflect on this experience and gain an enhanced sense of civic engagement.

The evaluation study drew on data from four focus group discussions with n = 21 lecturers from five European countries following a Winter School on service-learning in 2020. The qualitative data were analyzed using reflexive thematic analysis.

The findings indicate four themes of preparedness: (1) overall conceptions of service-learning, (2) continuum of preparedness for service-learning, (3) influential factors for preparedness and (d) transfer to home universities. The participants viewed themselves as multipliers for service-learning in their home universities; however, they were skeptical about being able to fully implement the service-learning approach after only one training and without a community of practice with lecturers with similar experiences in their home universities.

This study complements previous studies by adding a cross-national perspective of higher education lecturers. It underlines the importance of continuing training in didactics of university lecturers and a support network for the implementation of complex teaching concepts in higher education.

We currently know little about how transferring can be accomplished when source- and target environments only have little in common. This chapter utilizes the case of EuroCo and AsiaCo to account for how a transfer of interrelated routines across multiple boundaries unfolds. A pragmatic and flexible approach to transferring, where coordinating actors attended to replication and adaptation as means rather than ends, is illuminated. Notably, coordinators split their work into smaller chunks by focusing on artifacts, people, and actions. As pressures to progress the transfer increased, they conceived of new ideas for performances and put the ideas to use along three trajectories focused on embedding, embodying, and enacting routines. Eventually, they blended performances from each trajectory back together into a new overarching notion of what was to be transferred. In elaborating on and discussing these findings, the chapter contributes to literature on routine transfer. Boundary conditions and avenues for future research are discussed.

Organisations must build resilience to be able to deal with disruptions or non-routine events in their supply chains. While learning is implicit in definitions of supply chain resilience (SCRes), there is little understanding of how exactly organisations can adapt their routines to build resilience. The purpose of this study is to address this gap.

This paper is an in-depth qualitative case study based on 28 interviews across five companies, exploring learning to build SCRes.

This study uncovers six learning mechanisms and their antecedents that foster SCRes. The learning mechanisms identified suggest that through knowledge creation within an organisation and knowledge transfer across the supply chain and broader network of stakeholders, operating routines are built and/or adapted both intentionally and unintentionally during three stages of a supply chain disruption: preparation, response and recovery.

This study shows how the impact of a supply chain disruption may be reduced by intentional and unintentional learning in all three disruption phases. By being aware of the antecedents of unintentional learning, organisations can more consciously adapt routines. Furthermore, findings highlight the potential value of additional attention to knowledge transfer, particularly in relation to collaborative and vicarious learning across the supply chain and broader network of stakeholders not only in preparation for, but also in response to and recovery from disruptions.

This study contributes novel insights about how learning leads both directly and indirectly to the evolution of operating routines that help an organisation and its supply chains to deal with disruptions. Results detail six specific learning mechanisms for knowledge creation and knowledge transfer and their antecedents for building SCRes. In doing so, this study provides new fine-grained theoretical insights about how SCRes can be improved through all three phases of a disruption. Propositions are developed for theory development.

This paper provides remarkable insight into the structural components of a firm's core competence and its development via research and development (R&D) activities for innovation and exporting activities.

The authors have used a positivist design and a deductive methodology. The authors have examined the extant literature developing a theoretical framework to empirically investigate the relationships between a firm's core competence, organisational learning (OL), tacitness, dynamic capability and R&D activities. To carry out this investigation, the authors have collected stratified sample data from 330 firms operating in North East England, a peripheral region of England.

The authors have found that there are indeed significant statistical relationships between these structural components, R&D activities and a firm's core competence, and this nexus is pertinent to innovation and exporting. Furthermore, it is found that North East England is significantly constrained by the lack of finance, technological capability, experts and brain drain. Based on these findings, the authors propose a cooperative R&D framework to narrow down these constraints to assist firms in developing core competencies for innovation and exporting in peripheral regions.

There is an urgent need to investigate the incidence of knowledge-driven activities, R&D, the extent of innovation and exporting activities of firms operating in North East England, a peripheral region of the United Kingdom (UK).

This study provides an original and systematic investigation of the firm's core competence and its formation via key structural components for innovation and exporting within an empirical framework.

This study revisits the Great Canadian Grain Logistics Crisis of 2013-14 to explore the competitiveness of the country's grain exports. An approach to comprehending the dilemmas of the international grain supply chain and trade, and national logistics policy in an era of multinational corporations, draws upon the literature on global value chain analysis. This analysis identifies both the grain industry's global and local dimensions. An important literature on the 'politics’ of the supply chain is also called into play to discuss who controls what aspects. This task of interpreting the various steps in Canada's grain logistics chain recognizes the key economic actors - producers, grain companies, railway companies, port terminal operators and export buyers - and political struggles between them as they each seek to maximize their self-interest. Policy implications for streamlining logistics operations are drawn from identifying where changes in the supply chain arrangements have gained or lost opportunities in export markets, particularly in the Asia-Pacific region.

Building on the routine dynamics literature, this paper aims to expand our philosophical, practical and infrastructural understanding of implementing lean production. The authors provide a process view on the interplay between lean operating routines and continuous improvement (CI) routines and the roles of different actors in initiating and establishing these routines.

Using data from interviews, observations and document analysis, retrospective comparative analyses of three embedded case studies on lean implementations provide a process understanding of enacting and patterning lean operating and CI routines in manufacturing SMEs.

Incorporating the “who” and “how” next to the “what” of practices and routines helps explain that rather than being implemented in isolation or even in conjunction with each other, sustainable lean practices and routines come about through team leader and employee enactment of the CI practices and routines. Neglecting these patterns aligned with unsustainable implementations.

The proposed process model provides a valuable way to integrate variance and process streams of literature to better understand lean production implementations.

The process model helps manufacturing managers, policy makers, consultants and educators to reconsider their approach to implementing lean production or teaching how to do so.

Nuancing the existing lean implementation literature, the proposed process model shows that CI routines do not stem from implementing lean operating routines. Rather, the model highlights the importance of active engagement of actors at multiple organizational levels and strong connections between and across levels to change routines and work practices for implementing lean production.

The purpose of this study is to demonstrate that Strategic Enterprise Management (SEM) and Business Intelligence (BI) have the potential to integrate management decisions vertically through an organization’s hierarchy. This study also aims to present a design theory framework and build a model dimension using eight principles serving as mid-range theories.

This study uses a design science perspective to posit how organizations can successfully implement SEMBI (a union of SEM and BI). This study then completes the design theory by building the method dimension using two principles. Finally, the study presents testable hypotheses for the theory and an evaluation using stakeholder attitudes and judgments as proxies for objective measures.

In the search for a prescription for SEMBI success, this study finds that the notion of the Capability Maturity Model (CMM) is a good artifact with which to organize the principles the authors are seeking. CMM has since been adapted to suit different contexts by incorporating relevant principles from those domains. Hereafter, this study refers to SEMBI–CMM as the adapted solution for SEMBI's success.

This study coins and uses the term SEMBI to represent the union of SEM and BI. This term retains its distinct identities and principles and forms a holistic and integrated view of SEM and BI implementation strategies. In an effort to advance this line of research, this study employs a design science perspective to address the question of how an organization can successfully implement SEMBI.

This study examines the relationship between demand forecasting error and retail inventory management in an uncertain supplier yield context. Replenishment is segmented into off-season and peak-season, with the former characterized by longer lead times and higher supply uncertainty. In contrast, the latter incurs higher acquisition costs but ensures certain supply, with the retailer's purchase volume aligning with the acquired volume. Retailers can replenish in both phases, receiving goods before the sales season. This paper focuses on the impact of the retailer's demand forecasting bias on their sales period profits for both phases.

This study adopts a data-driven research approach by drawing inspiration from real data provided by a cooperating enterprise to address research problems. Mathematical modeling is employed to solve the problems, and the resulting optimal strategies are tested and validated in real-world scenarios. Furthermore, the applicability of the optimal strategies is enhanced by incorporating numerical simulations under other general distributions.

The study's findings reveal that a greater disparity between predicted and actual demand distributions can significantly reduce the profits that a retailer-supplier system can earn, with the optimal purchase volume also being affected. Moreover, the paper shows that the mean of the forecasting error has a more substantial impact on system revenue than the variance of the forecasting error. Specifically, the larger the absolute difference between the predicted and actual means, the lower the system revenue. As a result, managers should focus on improving the quality of demand forecasting, especially the accuracy of mean forecasting, when making replenishment decisions.

This study established a two-stage inventory optimization model that simultaneously considers random yield and demand forecast quality, and provides explicit expressions for optimal strategies under two specific demand distributions. Furthermore, the authors focused on how forecast error affects the optimal inventory strategy and obtained interesting properties of the optimal solution. In particular, the property that the optimal procurement quantity no longer changes with increasing forecast error under certain conditions is noteworthy, and has not been previously noted by scholars. Therefore, the study fills a gap in the literature.

This study established a two-stage inventory optimization model that simultaneously considers random yield and demand forecast quality, and provides explicit expressions for optimal strategies under two specific demand distributions. Furthermore, the authors focused on how forecast error affects the optimal inventory strategy and obtained interesting properties of the optimal solution. In particular, the property that the optimal procurement quantity no longer changes with increasing forecast error under certain conditions is noteworthy, and has not been previously noted by scholars. Therefore, the study fills a gap in the literature.

Digital technologies, and the affordances they provide, can shape institutional processes in significant ways. In the last decade, social media and other digital platforms have redefined civic engagement by enabling new ways of connecting, collaborating, and mobilizing. In this article, we examine how technological affordances can both enable and hinder institutional processes through visibilization – which we define as the enactment of technological features to foreground and give voice to particular perspectives and discourses while silencing others. We study such dynamics by examining #SchauHin, an activist campaign initiated in Germany to shine a spotlight on experiences of daily racism. Our findings show how actors and counter-actors differentially leveraged the technological features of two digital platforms to shape the campaign. Our study has implications for understanding the role of digital technologies in institutional processes as well as the interplay between affordances and visibility in efforts to deinstitutionalize discriminatory practices and institutions.

The purpose of this paper is to compare two brand posts with the different content created by a celebrity (emotional content vs rational content) on Instagram and their effects on users’ willingness to use offline word of mouth (WOM) and electronic WOM (eWOM). The research model also consists of product involvement as the moderator.

Based on the results of the pretest stages, the study included two stimuli, and respondents were presented with two different brand posts (i.e. two manipulated pictures and texts on the Instagram frame). A two-group comparison (positive emotional brand post vs negative rational brand post) between-subjects experiment (n = 214) was conducted.

The results indicate that WOM and eWOM are more affected by a celebrity’s emotional brand post than a celebrity’s rational brand post. Furthermore, both types of WOM are more affected through high product involvement enhanced by a celebrity’s rational brand post than through high product involvement boosted by a celebrity’s emotional brand post.

Managerial implications for social media marketing and Instagram celebrity-based branding are provided. Practical implications are also provided in the form of evidence of how the impacts of two different brand posts on positive offline WOM and eWOM are affected differently through the moderation of product involvement.

The research argues for theoretical implications for the marketing literature on celebrity endorsements. The study also tests one moderating effect on the relationship between brand post content and WOM and eWOM.

El propósito de este trabajo es comparar dos posts de marcas con diferente contenido creado por una celebridad (contenido emocional vs. contenido racional) en Instagram y sus efectos en la disposición de los usuarios a utilizar WOM y eWOM. El modelo de investigación también incluye la implicación del producto como moderador.

Sobre la base de los resultados de las etapas de prueba previa, el estudio incluyó dos estímulos, y a los encuestados se les presentaron dos publicaciones de marca diferentes (es decir, dos imágenes y textos manipulados en el marco de Instagram). Se realizó un experimento entre sujetos (n = 214) de comparación de dos grupos (post de marca emocional positivo frente a post de marca racional negativo).

Los resultados indican que el WOM y el eWOM se ven más afectados por el post emocional de la marca de un famoso que por el post racional de la marca de un famoso. Además, ambos tipos de boca a boca se ven más afectados por la alta implicación del producto potenciada por el post racional de la marca de un famoso que por la alta implicación del producto potenciada por el post emocional de la marca de un famoso.

se ofrecen implicaciones de gestión para el marketing en las redes sociales y el branding basado en los famosos de Instagram. Las implicaciones prácticas también se proporcionan en forma de evidencia de cómo los impactos de dos publicaciones de marca diferentes en el WOM positivo y el eWOM se ven afectados de manera diferente a través de la moderación de la implicación con el producto.

La investigación aporta implicaciones teóricas para la literatura de marketing sobre el patrocinio de los famosos. El estudio también prueba un efecto moderador en la relación entre el contenido de los posts de marca y el WOM y el eWOM.

本文旨在比较Instagram上两个由名人创作的不同内容的品牌帖子（感性内容Vs.理性内容）, 以及其对用户使用线下口碑（WOM）和电子口碑（eWOM）意愿的影响。该研究模型还包括产品涉入作为调节变量。

研究包括两个刺激物, 受访者被呈现两个不同的品牌帖子(即Instagram框架上的两个被操纵的图片和文字)。进行了两组比较(积极感性品牌帖子vs. 消极理性品牌帖子) 的主体间实验 (n = 214) 。

结果表明, 与名人的理性品牌帖子相比, WOM和eWOM受名人感性品牌帖子的影响更大。此外, 这两种类型的口碑通过名人的理性品牌帖子所增强的高产品涉入度比通过名人的感性品牌帖子所增强的高产品涉入度受到的影响更大。

提供了对社交媒体营销和Instagram名人品牌的管理意义。研究还提供了实际意义, 证明了两种不同的品牌帖子对积极的WOM和eWOM的影响是如何通过产品涉入度的调节而不同的。

该研究论证了名人代言的营销文献的理论意义。该研究还检验了品牌帖子内容与WOM和eWOM之间关系的调节效应。