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This paper aims to explore the evolution mechanism of resources in a standard alliance that are matched with resources required at different standardization stages from the viewpoint of dynamic matching. How core enterprises in an alliance allocate resources, select member enterprises and maintain the normal operation of an alliance, according to the resource evolution of a standard alliance, is an important issue when dealing with the implementation of technology standardization.

The authors have chosen the Intelligent Grouping and Resource Sharing (IGRS) standard alliance of computer companies in China as the object of this study. The authors have built indices to identify core enterprises in the alliance from the viewpoint of network organization. The authors also collected data from authoritative news websites concerning patents and cooperative projects undertaken by 216 enterprises in the IGRS alliance during the period from 2002 to 2016, and they have computed and analyzed these data by using UCINET 6.0 software and social network analysis methodology to identify core enterprises at different standardization stages, thus revealing the evolution mechanism for resources in the standard alliance.

Technology standardization is divided into R&D, industrialization and marketization stages, and the standard alliance requires different resources to satisfy what is required at each of those different standardization stages. While technology standardization is a process during which technology systems standards are continuously being perfected and the standard product market is continuously expanding, the development of technology standardization affects the evolutionary processes of the core enterprises and affects the selection of member enterprises in the standard alliance.

The results obtained will assist the standard alliance to select proper member enterprises and dynamically match the alliance’s resources with the resources required at different standardization stages to speed up the implementation of independent standardization in China.

This study demonstrates the evolution mechanism of resources in technology standard alliances at different standardization stages by using quantitative analysis methodology, and it enriches the research on which elements are influential for technology standardization’s development in the context of China’s social, economic and cultural characteristics.

Climatic changes caused by greenhouse gases (GHGs) emissions are an urgent challenge for all regions around the globe while the livestock sector is an important source of GHGs emissions. The adoption of low-carbon manure treatment technology (LMTT) by farmers is emerging as an effective remedy to neutralize the carbon emissions of livestock. This paper aims to incorporate environmental literacy and social norms into the analysis framework, with the aim of exploring the impact of environmental literacy and social norms on farmers' adoption of LMTT and finally reduce GHGs emission and climate effects.

This research survey is conducted in Hebei, Henan and Hubei provinces of China. First, this research measures environmental literacy from environmental cognition, skill and responsibility and describes social norms from descriptive and imperative social norms. Second, this paper explores the influence of environmental literacy and social norms on the adoption of LMTT by farmers using the logit model. Third, Logit model's instrumental approach, i.e. IV-Logit, is applied to address the simultaneous biases between environmental skill and farmers’ LMTT adoption. Finally, the research used a moderating model to analyze feasible paths of environmental literacy and social norms that impact the adoption of LMTT by farmers.

The results showed that environmental literacy and social norms significantly and positively affect the adoption of LMTT by farmers. In particular, the effects of environmental literacy on the adoption of LMTT by farmers are mainly contributed by environmental skill and responsibility. The enhancement of social norms on the adoption of LMTT by farmers is mainly due to the leading role of imperative social norms. Meanwhile, if the endogeneity caused by the reverse effect between environmental skill and farmers’ LMTT adoption is dealt with, the role of environmental skill will be weakened. Additionally, LMTT technologies consist of energy and resource technologies. Compared to energy technology, social norms have a more substantial moderating effect on environmental literacy, affecting the adoption of farmer resource technology.

To the best of the authors’ knowledge, a novel attempt is made to examine the effects of environmental literacy and social norms on the adoption of LMTT by farmers, with the objective of identifying more effective factors to increase the intensity of LMTT adoption by farmers.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of this paper is to explore how Chinese enterprises overcome their lack of resource and capabilities and eventually fulfill global resource accumulation, fast innovative commercialization and significant technological breakthrough by establishing and coordinating innovation ecosystem at firm level.

This paper first reviewed the literature on the structure and coordinating mechanism of enterprise innovation ecosystem and identified two important gaps on the characteristics of ecosystem actors and the logic of innovative coordination. Then, the paper adopted grounded analysis about the construction and evolution of Haier’s innovation ecosystem based on longitudinal case data. On the basis of the case study, the construct of firm-level innovation ecosystem and new logic of coordination are formed.

This paper found the emerging phenomenon of sub-organizational ecosystem actors and depicted that the establishing process of firm-level innovation ecosystem went through three majors stages, and the corresponding coordinating logic changed from proactive intervention to reactive self-evolution.

This paper tried to make contributions to the studies of structure and coordinating mechanism of enterprise innovation ecosystem, and proposed the enterprise itself could build firm-level ecosystem within its organizational boundary and interact with external ecosystem. The findings enlightened the nested structure of ecosystem, opened the black box of organizational boundary and broke the limitation that existing researches only analyse innovation ecosystem at system level and regard firms as basic analytical unit. Besides, this paper proposed that the coordination of innovation ecosystem can be passively fulfilled by network effect and ecological evolution, where previous studies mainly focused on proactive institutional intervention and resource investment. This point could provide Chinese enterprises with good references.

Traditionally, organizational evolution has been forgotten and only recently has it been analyzed by evolutionary theories: evolutionary economics and organizational ecology. According to the evolutionary economics the evolution of the firm is drawn as a process of individual adaptation running parallel to the evolution of environment. However, population ecology suggested that organizations have not the ability to adapt themselves and the process of organizational evolution is out of the organizational field. So, the adjustment to changed environmental conditions is achieved largely by the death of old organizations and the birth of new ones. We propose a model of organizational evolution combining the adaptation perspective ‐‐ evolutionary economics ‐‐ and the selection one ‐‐ population ecology of organizations. The adaptative ability lies in the endowment resource and capabilities that managers build using organizational capabilities.

The purpose of this paper is to better understand and study the architecture and system characteristics of the underlying support platform for crowd system, by recognizing the characteristics of service internet is similar to the coordination characteristics between the massive units in the underlying platform of crowd system and studying the form, nature and guidelines of the service internet.

This paper points out the connection between the underlying support platform of crowd system and service internet, describes the framework and ideas for researching service internet and then proposes key technologies and solutions for service internet architecture and system characteristics.

The research unit in the underlying support platform of crowd system can be regarded as a service unit. Therefore, the platform can also be regarded as service internet to some extent. The ideas and technical approaches for the study of service internet’s form, criteria and characteristics are also provided.

According to this paper, relevant staff can be guided to better build the underlying support platform of crowd system. And it can provide a highly robust and sustainable platform for research studies of crowd science and engineering in the future.

The purpose of this paper is to improve understanding and provide guidance for investments in organizational learning mechanisms for the establishment and evolution of organizational capabilities such as project portfolio management (PPM) and project management capabilities.

A multiple‐case study research project investigates the development of PPM capabilities in six successful organizations across diverse industries.

The research indicates that PPM and organizational learning are dynamic capabilities that enhance an organization's ability to achieve and maintain competitive advantage in dynamic environments. PPM capabilities are shown to co‐evolve through a combination of tacit experience accumulation, explicit knowledge articulation and explicit knowledge codification learning mechanisms. Although all three learning mechanisms are important throughout the establishment and evolution of PPM capability development, the research indicates that the development of an effective PPM capability will require particularly strong investments in enhancing tacit experience accumulation mechanisms and explicit knowledge codification mechanisms during the initial establishment or during periods of radical change to the PPM process.

The research includes a sample of six case studies and the results may not be generalisable. In addition, the research was conducted over a short period of time whereas a longitudinal study would be required to gain more detailed information about the development of capabilities over time.

The findings suggest that managers can enhance and sustain competitive advantage by investing in tacit experience accumulation as well as explicit knowledge articulation and codification learning mechanisms to develop their PPM capability. Strengthened investment in experience accumulation and knowledge codification learning mechanisms is recommended during establishment of the PPM capability.

This paper contributes to the understanding of the links between organizational learning and the development of dynamic capabilities. Original hypotheses are proposed and some initial support for these hypotheses is provided through multiple‐case study research.

This paper aims to address how an organization's multiple-dominant-logic system evolves as it grows and how does this evolution affect the way managers choose to balance ambidextrous innovation.

This paper adopts an interpretive and exploratory case study on the mechanism of how the multiple-dominant-logic system influences the decision of balanced ambidextrous innovation. Considering that the multiple-dominant-logic system will change with the development of a firm, this paper focuses on exploring how the evolution of multiple-dominant-logic system affects the way managers choose to balance ambidextrous innovation. The authors spent almost two years collecting data from M-grass Ecology and following the evolution and innovation through semi-structured interviews, archival data and observation. Then they set up a framework showing the influence mechanism by analyzing the data through a four-step process.

This research points out that an organization's multiple-dominant-logic system may change for several times in its growth. It provides a model for the evolution of a multiple-dominant-logic system. It confirms that firms' multiple-dominant-logic system is not immutable, but evolves with the change of the firm's internal resources and external environment. Also, it finds that under the influence of different multiple-dominant-logic architectures, mangers choose different ways to balance ambidextrous innovation. In this process, appropriate entrepreneurial bricolage plays a significant role in balancing ambidextrous innovation.

The findings offer some valuable insights for further research on dominant logics and ambidextrous innovation and hold important implications for managers making a decision.

Within the context of a sustainable supply chain, the purpose of this paper is to report on empirical longitudinal research on supply chain network evolution and dynamics of governance in a multi‐stakeholder supply chain sustainability initiative led by Nespresso, the speciality coffee division of Nestlé.

The paper proposes a framework to study the creation and evolution of governance mechanisms over a five‐year period. Data from 48 semi‐structured interviews and 15 recent and historic documents were also analysed. The interviews were conducted among current and past representatives of all the organisations concerned including coffee traders, NGOs and farmers.

In contrast with literature on the subject, governance mechanisms initially relied mostly on informal mechanisms. Formal governance mechanisms were incorporated into the relationships to enable the supply chain network to grow and to provide clarity to all actors. Relational quality processes that increased trust were critical elements in the early phase, and were explicitly built into a second phase of development.

Being a single case study, some caution needs to be applied to generalise findings beyond the specific context studied. An additional methodological limitation is the limited number of actors involved in the overall supply chain network.

The paper shows the importance of treating governance mechanisms within the supply chain not as a fixed variable to be determined once and for all in the beginning of a relationship, but rather to adapt the coordination mechanisms of the relationships.

The evolution of relationships over time has been “often called for but rarely chosen”. The case highlights the potential benefits of this type of research to develop an understanding of the evolution of relationships in a supply chain network.

Because the discontinuous and uncertain characteristics of knowledge-based innovation cannot be reasonably interpreted by conventional management approaches, quantum mechanics which begins with uncertainty and concerns with a dynamic process of the complex system, has been exploratorily used in the management field. Although the theoretical new insights are provided by pioneering studies, quantitative research is in short supply. This paper aims to propose a quantum mechanics-based framework for quantitative research, thus extending the application of quantum mechanics in the knowledge management area from a dynamic system evolutionary standpoint.

Based on the similarity comparison between knowledge-based system evolution and atomic motion, the authors construct the atom-like structure of the knowledge-based system and elaborate the evolutionary mechanism of the knowledge-based system, thereby establishing the quantitative model. Apple and Zhongxing Telecom Equipment were selected for an empirical study to demonstrate the usefulness of the models for research on knowledge-based innovation and explore the unique knowledge-based innovation characteristics of the two firms.

First, the transition force of dynamic knowledge shows an inverted U shape; accumulating dynamic knowledge to a moderate degree not only facilitates transforming dynamic knowledge into static knowledge but also balances the relationship between the influence of knowledge force range and dynamic knowledge transformation. Second, existing knowledge is gradually substituted by new knowledge and knowledge density at a high knowledge energy level distinctly increases with a narrower bandwidth. Third, the investment loss is associated with resource configuration, resource utilization and the amount of accumulative dynamic knowledge before investment. Knowledge loss is negatively correlated with the knowledge compatibility coefficient.

The authors use the advanced method in quantum mechanics to legitimately unveil the emergence mechanism of knowledge-based innovation. Meanwhile, the authors capture the non-linear transformation relationship of heterogeneous knowledge and expose the change in ways of both investment loss and knowledge loss that cannot be quantified by conventional models. In doing so, the authors not only reveal the principle of qualitative knowledge change but also offer practical implications for developing flexible and targeted innovation strategies.

First, by proposing a complete quantum mechanics-based framework, the authors not only supplement the quantitative research contents to knowledge-based innovation literature which proposed calls to conduct research in way of quantum mechanics but also overcome the difficulties of knowledge-based system conceptualization and measurement. Second, the authors reveal the uncertain change of knowledge transformation and measure the loss of investment and knowledge, which contribute to identifying defects of firms in knowledge-based innovation. Third, the authors explore the internal mechanism that led to knowledge-based innovation exhibits non-linear characteristics and capture unique dynamic relationships between different variables which affect the emergence of knowledge-based innovation.