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The purpose of this paper is to demonstrate how inter-organizational learning (including supply chain learning and imitation prevention) mediates the relationships between supply chain integration (SCI) and two dimensions of focal firm performance (i.e. customer service performance and innovation performance).

A cross-sectional approach was adopted with primary data collected through a survey in China. Data were analyzed using structural equation modeling with partial least-squares estimations.

The findings verify that inter-organizational learning mediates the relationship between SCI and focal firm performance. The results of sub-group model analysis illustrate that both powerful and weak focal firms benefit from inter-organizational learning, but in different ways.

The responses were all from young executives who had four years’ work experience on average. Top-level executives may provide more comprehensive and accurate input for similar future research.

The results suggest that successfully integrating the supply chain to create customer value requires both supply chain learning and imitation prevention.

This paper responds to calls for an inter-disciplinary research between supply chain management and inter-organizational learning by taking into account supply chain learning and imitation prevention as links between SCI and both customer service performance for current success and innovation performance for future prosperity.

Extant research and practice of patent management are often occupied with how to best utilize patenting as a source of competitive advantage. The purpose of this paper is to suggest a patent management trichotomy where firms make strategic decisions between patenting, publishing, and secrecy.

The paper is conceptual in nature and draws on received IP management literature to develop an analytical framework.

The authors suggest that the choice between patenting, publishing, and secrecy can be understood in terms of differences in the degree to which the firm can appropriate value from the invention and the degree to which it can operate freely.

Through an analysis along the dimensions of direct and indirect appropriation as well as static and dynamic freedom to operate, the paper conceptualizes the choice between patenting, publishing, and secrecy in a way useful for managers as well as for academics.

Profiting from service innovations can be challenging. It is not only a question of pricing and marketing the services appropriately, but also of keeping competitors from imitating them. The purpose of this paper is to discuss how service innovation differs from technology/product innovation in terms of protection, and how this shows in collaborative innovation activities.

The paper offers a literature review combining discussion related to service research and strategic management. Empirical evidence is provided in the form of a multifaceted case study illustrating some of the aspects of collaborative service innovation.

The results indicate that characteristics separating service innovations from product or process innovations influence the efficacy of protection. This, in turn, may make or break the subsequent value appropriation. Furthermore, as service innovation typically includes collaborative activities, there is another twist to protection: companies must protect knowledge that brings them competitive advantage, but on the other hand they need to foster knowledge sharing, which may be in conflict with protective measures. As a result, service innovators cannot rely solely on intellectual property right strategies, as their counterparts working with products might do, but the service element requires taking a wider look around, and utilizing means such as human resource management, lead time, and contracting.

The novelty of this paper lies in its analysis of two very recent trends: collaboration (and coopetition) in innovation, and the tendency to introduce business models that bring service innovations to the core of the offering. Augmenting prior knowledge, the paper brings forth issues that need to be acknowledged when service innovations are created, protected, and appropriated.

This paper argues that current research into knowledge management fails to recognize and offer a detailed understanding about the role of knowledge in improving firm performance. Instead of focusing, exclusively, on the nature and attributes of knowledge, and the management of learning, research should also direct attention to the factors that enable knowledge to contribute to performance. To aid in this, this paper suggests that the concept of knowledge management is divided into three instances; development, utilization and capitalization, based on the assumption that knowledge is not always utilized, and that utilized knowledge does not always result in improved performance. The paper also identifies challenges and solutions in relation to each of the instances. Empirical findings are based on empirical study of three knowledge ventures within a European manufacturing MNC.

Supply chain integration (SCI) dominates supply chain strategy and is receiving increasing academic attention. The purpose of this paper is to provide a systematic review of the knowledge trajectory and structure of the SCI field.

Based on 3,533 papers extracted from the Web of Science (WoS), this paper adopts the main path analysis (MPA) method to detect three distinct knowledge development trajectories. Coupling-based clustering is combined with MPA to reveal three critical subfields.

The findings show that the definition, content and dimensions of SCI lack unified conclusions. The influencing factors and performance consequences of SCI are long-standing research elements. Building theoretical models and integrated systems and applying blockchain technology to improve SCI are the key research contents. The intertwining of collaboration and SCI cannot be ignored, and the green SCI may be a hot topic in the future.

This study explores knowledge in the SCI field based on the limited literature collected by WoS rather than all published papers. The omissions of some relevant papers and books may exist.

The study methodology provides a framework for similar studies in the future, and the results help researchers to get a comprehensive picture of the knowledge trajectory and structure of the SCI field.

Compared to existing reviews, MPA combines cluster analysis to develop a synthetic framework of the knowledge trajectory and structure in the SCI domain. It contributes to a systematic review of the development of SCI.

The purpose of this paper is to systematically review the academic literature on Supply Chain Learning (SCL), including the definitions, drivers, sources, barriers and consequences of SCL, and to propose an integrated conceptual model.

A systematic literature review has been conducted, with an analysis of 123 papers in peer-reviewed academic journals published from 1998 up to March 2018.

Through analysis and synthesis of the literature, this paper identifies and classifies the concepts of SCL into four types, that is, process orientation, structure orientation, consequence orientation and other informal definitions. Based on the Extended Resource-Based View (ERBV), the authors develop an integrated conceptual framework, which brings together various constructs. Within the framework, the authors identify the drivers and sources of SCL at intra- and inter-organizational levels. SCL consists of exploratory and exploitive learning capabilities, and the outcomes of SCL are dynamic supply chain management capabilities and sustainable supply chain performance.

The authors propose a capability perspective of SCL and develop a conceptual model and a number of associated propositions of SCL based on the ERBV and review findings, which is subject to future empirical testing and propose five future research directions. The findings of this paper can be extended beyond the dyad and be applied in multi-tier supply chain context.

The COVID-19 epidemic is still spreading globally and will not be completely over in a short time. Wearing a mask is an effective means to combat the spread of COVID-19. However, whether the public wear a mask for epidemic prevention and control will be affected by stochastic factors such as vaccination, cultural differences and irrational emotions, which bring a high degree of uncertainty to the prevention and control of the epidemic. The purpose of this study is to explore and analyze the epidemic prevention and control strategies of the public in an uncertain environment.

Based on the stochastic evolutionary game model of the Moran process, the study discusses the epidemic prevention and control strategies of the public under the conditions of the dominance of stochastic factors, expected benefits and super-expected benefits.

The research shows that the strategic evolution of the public mainly depends on stochastic factors, cost-benefit and the number of the public. When the stochastic factors are dominant, the greater the perceived benefit, the lower the cost and the greater the penalty for not wearing masks, the public will choose to wear a mask. Under the dominance of expected benefits and super-expected benefits, when the number of the public is greater than a certain threshold, the mask-wearing strategy will become an evolutionary stable strategy. From the evolutionary process, the government’s punishment measures will slow down the speed of the public choosing the strategy of not wearing masks. The speed of the public evolving to the stable strategy under the dominance of super-expected benefits is faster than that under the dominance of expected benefits.

The study considers the impact of stochastic factors on public prevention and control strategies and provides decision-making support and theoretical guidance for the scientific prevention of the normalized public.

To the best of the authors’ knowledge, no research has considered the impact of different stochastic interference intensities on public prevention and control strategies. Therefore, this paper can be seen as a valuable resource in this field.

Purpose: The study makes use of situational crime prevention framework for analyzing online community reactions to the banning of deepfake pornographic content from Reddit.

Methodology/approach: Qualitative text analysis of user comments posted to Reddit’s rule-change announcement (N = 582) was carried out. Analysis relied on the original 25 techniques of situational crime prevention that were adapted into a table of activities and mechanisms meant specifically for use with online platforms.

Findings: Analysis indicates that Reddit users voiced several shortcomings that are currently present in Reddit’s platform management approach. In particular, users emphasized issues related to the lack of a consistent and transparent approach to community rule enforcement, as users believed the rule changes to be sudden and poorly reasoned. The general reactionary nature of Reddit’s approach to moderating community-harming actions also was a point of emphasis, alongside the platform’s continued rigid stance on freedom of expression, even with regard to illegal and demeaning content. Regarding Reddit and the new rules on involuntary pornography and the sexualization of minors, enforcement of sitewide policy appears contingent on external influences, such as attention from mainstream media or financial matters, rather than stemming from an inherent stance on decreasing community-harming activities.

Research limitations: The study only pertains to a specific rule change by Reddit and subsequent reactions from the platform’s community. Future research is needed to test the applicability of the adapted table of 25 techniques of situational crime prevention in the context of other online platforms.

Originality/value: First, the study applies the situational crime prevention approach in the context of moderating online platforms. Second, results from the study shed light on current practices in online content moderation from the perspective of criminological theory, as well as inform specific actions that can be taken to decrease the presence of community-harming phenomena and improve the enforcement of sitewide policy rules in general. Finally, by adapting the original 25 techniques of situational crime prevention to online content moderation, the study suggests a tentative roadmap for similar research in the future.

Food fraud as intentional deception for economic gain relies on a low-tech food value chain, that applies a ‘paper-and-pencil approach’, unable to provide reliable and trusted data about food products, accompanied processes/activities and actors involved. Such approach has created the information asymmetry that leads to erosion of stakeholders and consumers trust, which in turn discourages cooperation within the food chain by damaging its ability to decrease uncertainty and capability to provide authentic, nutritional, accessible and affordable food for all. Lack of holistic approach, focus on stand-alone measures, lack of proactive measures and undermined role of customers have been major factors behind weaknesses of current anti-fraud measures system. Thus, the process of strong and fast digitalisation enabled by the new emerging technology called Industry 4.0 is a way to provide a shift from food fraud detection to efficient prevention. Therefore, the objective of this chapter is to shed light on current challenges and opportunities associated with Industry 4.0 technology enablers' guardian role in food fraud prevention with the hope to inform future researchers, experts and decision-makers about opportunities opened up by transforming to new cyber-physical-social ecosystem, or better to say ‘self-thinking’ food value chain whose foundations are already under development. The systematic literature network analysis is applied to fulfil the stated objective. Digitalisation and Industry 4.0 can be used to develop a system that is cost effective and ensures data integrity and prevents tampering and single point failure through offering fault tolerance, immutability, trust, transparency and full traceability of the stored transaction records to all agri-food value chain partners. In addition, such approach lays a foundation for adopting new business models, strengthening food chain resilience, sustainability and innovation capacity.

This paper aims to critically review the ownership, location and internalization (OLI) model and the Uppsala internationalization process (UIP) framework. We suggest that the inclusion of concepts such as corporate entrepreneurship, host country institutions and regulatory focus in an integrated framework helps to explain firm internationalization.

This paper is based on a review of the literature on the OLI and UIP models. In addition, it presents a conceptual model that encompasses corporate entrepreneurship, regulatory focus and institutions.

The OLI and the UIP models fail to include corporate entrepreneurship and managerial psychology in their analyses. We suggest that regulatory focus theory unifies the managerial strategic choice between position logic and opportunity logic. In addition, host country institutions affect this managerial choice with regard to internationalization.

Regulatory focus theory originates from managerial psychology. The model is, therefore, relevant for managers, and it shows how the outcomes and processes of corporate entrepreneurial activity should manifest themselves in managerial decision-making related to further internationalization. The strength of host country institutions also affects such decision-making.

This paper is the first to present the concept of regulatory focus in relation to firm internationalization. In addition, it shows that most entrepreneurship-related models of internationalization focus on international entrepreneurship and start-up firms. In contrast, this paper focuses on corporate entrepreneurship and the internationalization of established firms.