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In the digital economy era, digital platforms are vital infrastructure for innovation subjects to perform digital innovation activities. Achieving efficient and smooth knowledge transfer between innovation subjects through digital platforms has become a novel research subject. This study aims to examine the knowledge transfer mechanism of digital platforms in the digital innovation ecosystem through modeling and simulation to offer a theoretical basis for digital innovation subjects to acquire digital value through knowledge-sharing and thus augment their competitive advantage.

This study explores the optimal symbiotic interaction rate between different users based on the classic susceptible-infected-removed (SIR) model. Additionally, it constructs a knowledge transfer mechanism model for digital platforms in the digital innovation ecosystem by combining the theories of communication dynamics and symbiosis. Finally, Matrix Laboratory (MATLAB) software is used for the model and numerical simulation.

The results demonstrate that (1) the evolutionary path of the symbiotic model is key to digital platforms' knowledge transfer in the digital innovation ecosystem. In the symbiotic model, the knowledge transfer path of digital platforms is “independent symbiosis—biased symbiosis (user benefit)—reciprocal symbiosis,” aligning with the overall interests of the digital innovation ecosystem. (2) Digital platforms' knowledge transfer effects within the digital innovation ecosystem show significant differences. The most effective knowledge transfer model for digital platforms is reciprocal symbiosis, whereas the least effective is parochial symbiosis (platform benefit). (3) The symbiotic rate has a significant positive impact on the evolutionary dynamics of knowledge transfer on digital platforms, especially in the reciprocal symbiosis model.

This study's results aid digital innovators in achieving efficient knowledge transfer through digital platforms and identify how symbiotic relationships affect the knowledge transfer process across the ecosystem. Accordingly, the authors propose targeted recommendations to promote the efficiency of knowledge transfer on digital platforms.

Abundance of cultural resources is a typical feature of traditional villages. It is particularly important to explore the development path of traditional villages from the perspective of cultural resources.

Based on symbiosis theory, establish a symbiotic development mechanism of traditional village characteristic cultural elements and use grey relation analysis (GRA) to evaluate the resource advantages of different cultural attributes. This paper proposes the traditional village development model of different symbiotic units in the county. An empirical study is conducted in conjunction with the national historical and cultural city of Xunxian County, Henan, China.

The results show that (1) according to the different attributes of humanistic cultural resources, artificial cultural resources and natural cultural resources in traditional villages, different symbiotic units can be divided, and advantageous resources can be shared through the symbiotic interface; (2) using GRA to calculate the grey relational degree between cultural resources sequence of different attributes and the sum of cultural resources sequence in the county and define as the active degree of humanistic culture, the inheritance degree of artificial culture and the integrity of natural cultural resources are shown to reflect the status of the inheritance of humanistic cultural resources, the existence of artificial cultural resources, and the protection of natural cultural resources; and (3) a comparative analysis of the active degree, inheritance, and integrity of each symbiotic unit leads to the proposal of three symbiotic models of folklore vitality, characteristic space, and natural ecology, all of which are beneficial to promote the formation of a symbiotic environment.

The main innovation of this paper is to put forward the research scale of symbiosis theory in the field of urban and rural planning at the county level, delimit the symbiosis units of traditional villages at the county level, complete the quantitatively evaluate cultural resources in different symbiotic units with GRA, revealing the symbiotic development mechanism of cultural resources characteristic elements in traditional villages.

The sustainable transition towards the circular economy requires the effective use of artificial intelligence (AI) and information technology (IT) techniques. As the sustainability targets for 2030–2050 increasingly become a tougher challenge, society, company managers and policymakers require more support from AI and IT in general. How can the AI-based and IT-based smart decision-support tools help implementation of circular economy principles from micro to macro scales?

This chapter provides a conceptual framework about the current status and future development of smart decision-support tools for facilitating the circular transition of smart industry, focussing on the implementation of the industrial symbiosis (IS) practice. IS, which is aimed at replacing production inputs of one company with wastes generated by a different company, is considered as a promising strategy towards closing the material, energy and waste loops. Based on the principles of a circular economy, the utility of such practices to close resource loops is analyzed from a functional and operational perspective. For each life cycle phase of IS businesses – e.g., opportunity identification for symbiotic business, assessment of the symbiotic business and sustainable operations of the business – the role played by decision-support tools is described and embedding smartness in these tools is discussed.

Based on the review of available tools and theoretical contributions in the field of IS, the characteristics, functionalities and utilities of smart decision-support tools are discussed within a circular economy transition framework. Tools based on recommender algorithms, machine learning techniques, multi-agent systems and life cycle analysis are critically assessed. Potential improvements are suggested for the resilience and sustainability of a smart circular transition.

The purpose of this paper is to investigate the proposition that there is a symbiosis effect for exchanges between household waste recycling systems (HWRSs) and household recycling behaviour (HRB) within the reverse logistics (RL) discourse.

The paper contains empirical findings from a two phase, multi-method approach comprising consecutive inductive and deductive investigations. The qualitative and quantitative data underpin exploratory and explanatory findings which broaden and deepen the understanding of this phenomenon.

Analysis identified significant interactions between situational and personal factors, specifically demographic factors, affecting HRB with key factors identified as engagement, convenience, availability and accessibility.

Findings confirm the existence of a symbiosis effect between situational and personal factors and inform current research trends in the environmental sciences, behavioural and logistics literature, particularly identifying consumers as being an important pivot point between forward and RL flows.

Findings should inform RL-HWRSs design by municipalities looking to more effectively manage MSW and enhance recycling and sustainability. RL practitioners should introduce systems to support recovery of MSW in sympathy with communication and education initiatives to affect HRB and should also appreciate a symbiosis effect in the design of HWRSs.

The social implications of improved recycling performances in municipalities are profound. Even incremental improvements in the performance of HWRSs can lead to enhanced sustainability through higher recycling rates, reduced diversion of MSW to landfill, decreases in pollution levels, reduced carbon footprints and reduction in depletion of scarce natural resources.

The paper marks an early contribution to the study of symbiosis in HWRSs and HRB pertaining to RL. Findings are offered that identify the key situational and personal factors that interact to affect enhanced HWRSs and also offer insights above those available in current multi-disciplinary literature that has largely examined such factors in isolation. Conclusions offer the possibility of an epistemological bridge between the social and natural sciences.

The purpose of this paper is to explore the relationship between effective knowledge management and corporate performance, to explore the dynamic symbiosis phenomenon of effective knowledge management based on organizational ecology with multinational companies (MNCs) and non-multinational companies (non-MNCs) and to explore the symbiosis strategy of knowledge management between multinational and non-multinational companies (non-MNCs) in China.

To measure effective knowledge management, this paper first uses structural equation model to measure knowledge management, based on the evolution dynamics equation in organizational ecology to measure the effectiveness of knowledge management, and studies the symbiosis of effective knowledge management between MNCs and non-MNCs based on ecological perspective.

Effective knowledge management can promote the financial performance of enterprises, but different degrees of effectiveness have different effects. In addition, the coupling and collaboration between knowledge management and corporate performance can reflect the value of effective knowledge management. The results show that effective knowledge management plays a positive moderating effect between knowledge management and corporate performance. Finally, the effective knowledge management system of MNCs (non-MNCs) has negative effect on non-MNCs (MNCs), showing the exclusive relationship between MNCs and non-MNCs in China.

The effectiveness of knowledge management is only based on the measurement of financial performance coupling. For other types of performance, it needs to be tested. The samples may not cover symbiosis relationship of effective knowledge management in other countries.

This paper provides practical and theoretical reference for confirming the symbiotic interaction and identifying the opportunities and challenges of knowledge management among different types of corporation groups.

The paper is one of the pioneering studies to explore the pattern of symbiotic evolution of effective knowledge management between MNCs and non-MNCs. From completely new perspectives, this study advances the research of knowledge management to a new and promising area.

Circular economy (CE) has gained the attention of the business community with the promise of several trillions of dollars to be gained from finding productive uses for waste materials, and developing new business models focused on extending and reimagining the useful life of products. Industrial symbiosis (IS) involves the shared management of resources among multiple firms, most often within some geographic proximity. IS is particularly focused on the reuse of secondary materials, such as industrial by-products, for which conventional recycling does not exist. IS and CE represent a radical reconceptualization of business models from individual to collective competitive advantage with private and public benefits. IS has been recognized as a novel strategy for businesses and regions interested in implementing the CE. In this chapter, we explore the conditions and circumstances in which IS could play a pivotal role in increasing circularity and sustainability in diverse supply networks.

The purpose of this study is to explore the status and potential of industrial symbiosis in fostering sustainable entrepreneurship among micro and small enterprises (MSEs) in Uganda.

This study is cross-sectional and qualitative in nature. It involved conducting in-depth interviews with MSEs owners in Kampala, and data were analyzed using Atlasi Ti.

The results indicate that industrial symbiosis is a phenomenon that, notably, all MSE owners interviewed were practicing unknowingly, including recycling waste into sellable products, as well as sharing utilities, specialized machines and personnel for the smooth running of their businesses. In addition, participants expressed optimism that industrial symbiosis would be a major tool for business growth, innovation, employment opportunities, diversification and environmental protection for the benefit of the current and the future generations.

This study offers initial evidence on the status and potential of industrial symbiosis in fostering sustainable entrepreneurship among MSEs in Uganda.

This paper explores the management of emotions and emotional challenges that human trainees face when interacting with a robot or a humanoid trainer.

This study draws on existing academic and grey literature on robot and humanoids-based training with algorithms, bots, and artificial intelligence (AI).

The study highlights the need for personalized feedback, clear communication, and the establishment of trust between the trainee and robotic trainer. The study discusses the strategies to manage emotions like anger, disgust, fear, happiness, sadness, and surprise that are experienced by human trainees.

The research provides an accessible summary of setting realistic expectations for the emotional experience of working with a robotic trainer to help manage expectations and reduce disappointment.

The managers in charge of implementing robotic training programs can provide education and resources to help individuals effectively manage emotions when working with a robotic trainer.

Circular economy (CE) disclosure is becoming urgent for firms, but an accepted and recognized approach to address it is still missing, especially at small and medium enterprises (SMEs) level. This study aims to contribute to this issue by exploring the potential of the adoption of Global Reporting Initiative (GRI) Standards as a standardized approach for CE disclosure. The paper proposes a framework that identifies the existence of specific relationships between the topics included in GRI 300 Standards and CE strategies, which can be considered as managerial guidelines for CE strategy disclosure by companies.

The paper uses an explorative research methodology based on the content analysis of secondary data taken from the sustainability reports of the SMEs listed in STAR segment of Borsa Italiana.

The analysis shows that GRI Standards are currently adopted to disclose the CE strategies by Italian SMEs across different economic sectors including construction, food, automotive, retail, personal and household goods, industrial goods and services, electronics, media and technology. In particular, GRI 301 is used for the disclosure about Recycling, Reuse, Reverse logistics, Industrial Symbiosis, Eco-Design, Product as a Service and Refurbishing/Reconditioning/Remanufacturing. GRI 302 is suited to disclose CE strategies about Eco-Design, Renewable Energy and Industrial Symbiosis. GRI 303 can be useful to disclose about Reuse and Industrial Symbiosis. GRI 305 is appropriate for Eco-Design, Renewable Energy, Product as a Service, Industrial Symbiosis and Recycling. Finally, GRI 306 is useful to communicate the CE strategies of Recycling, Reuse, Reverse Logistics, Eco-Design, Industrial Symbiosis, Maintenance/Repair, Refurbishing/Reconditioning/Remanufacturing.

The paper includes implications concerning how to report the implementation of a wide range of CE practices, mainly using GRI 301, 302, 303, 305 and 306. These implications are mainly addressed to SMEs in different economic sectors.

The use of the proposed framework, by improving the transparency and communication of the CE strategies used by companies, may contribute to accelerate the consumer awareness on CE practices fostering the CE transition, especially of SMEs, with a positive effect on society and environment.

This study extends the literature on CE by developing one among the few standardized approaches using the GRI Standards for the disclosure of CE strategies, a topic mainly investigated in the literature with reference to large companies in a few industries. The framework is also useful to explore the implementation of CE strategies across SMEs in different industrial sectors.

Intergroup dynamics between the acquirer and the acquired are determinants of post-merger integration success. Mergers and acquisitions scholars call for the adoption of new reading prisms to gain deeper insights on post-merger integration dynamics as the failure rate of mergers remains high. In mobilizing works from social psychology to examine intergroup dynamics, this study aims to respond to this call by shedding light on the post-merger integration process. Typologies of integration processes do not take into account intergroup dynamics that operate within the new entity, which are influencing the decision-making process. To better understand how firms achieve a successful integration (symbiosis), the authors propose a processual analysis of intergroup dynamics in post-merger integration.

The research approach is a qualitative, longitudinal enquiry, which allows us to examine intergroup dynamics in two real-time merger case studies. The integration processes selected for this research include symbiotic integrations. Both integration processes were analyzed over two years, starting with the merger agreement.

This study sheds additional light on the triggers for achieving symbiosis integration by demonstrating the specific role and contribution of each of the parties (majority and minority) during the process. This study shows that post-merger is a process that follows different steps to reach symbiosis, involving majority/minority dynamics. The symbiosis implies minority innovation by adopting new business and organizational practices, mainly inspired by the standards and values of the minority. The study highlights innovation by the minority as a key element in achieving a symbiotic integration. This element can be understood by managers involved in managing the integration as a turning point in the integration process.

The authors investigated symbiotic integration in specific industries; questions can arise about the extent to which findings are transferable to other mergers and acquisitions contexts.

This study advances the understanding of the dynamics between the majority and minority in adopting a processual and longitudinal analysis. On that point, this study gains insights on the “black box” that represents post-merger integration process.