Search results

The purpose of this paper is to build a symbiotic evolution model to analyze the symbiotic modes and dynamic equilibrium of mobile internet platform innovation ecosystem (MIPIE) in order to explore its evolutionary path.

From a symbiosis theory perspective, the authors studied the dynamic evolution stages and symbiotic mode of MIPIE. By adopting logistic model, the symbiotic evolution model of MIPIE is established. After calculating the steady conditions and equilibrium point of this model, numerical simulation was done with MATLAB software to illustrate the impact of symbiotic parameters on evolution path in this ecosystem.

The symbiotic evolution mode of MIPIE experienced parasitism, commensalism to asymmetric mutualism, and symmetry mutualism or independence. In given conditions, the dynamic evolution of MIPIE eventually tends to a steady equilibrium point. The evolutionary consequence of innovative subjects is not only determined by the natural growth rate, but symbiotic modes can also affect the evolutionary path. Different symbiotic modes result in different evolutionary paths.

Improved understanding of symbiosis in MIPIE could help policy makers to promote value co-creation and dynamic interests balance while facilitating the cooperation of others for successful platform ecosystem management.

The logistic model introduced here bridge theory and practice while establishing a stronger link between symbiosis theory and platform ecosystem management.

This paper aims to study the evolution of innovation-based dynamic capabilities in informal copycat-style firms. As a kind of informal economical organizations, copycat-style firms in many emerging economies play an important role in their development of the economics. The development of Shanzhai firms, Chinese-style copycat firms, from imitation to innovation has become an important micro-foundation of China’s economic growth and the manufacturing development. With the cluster development of the Chinese mobile phone industry as the macro and industrial environment background, this paper chose Beijing Tianyu Communication Equipment Co. Ltd as the typical example of innovation in Shanzhai firms and studied the evolution of innovation-based dynamic capabilities in this company.

This paper chose Beijing Tianyu Communication Equipment Co. Ltd as the typical example of innovation in Shanzhai firms and studied the evolution of innovation-based dynamic capabilities in this company by adopting the leading-edge dynamic capability theory, innovation theory and industrial cluster theory. The authors further discussed how to improve the dynamic capabilities in Shanzhai firms in China.

It is finally suggested that Shanzhai firms should reduce innovation failures and lower damage degree of dynamic capabilities through consistent innovation and paying attention to their innovation improvement.

It will be very significant to research the survival or diminishing of Shanzhai firms from a theoretical perspective, which will eventually enhance property right protection and innovation development in China.

The product family assembly line (PFAL) is a mixed model-assembly line, which is widely used in mass customization and intelligent manufacturing. The purpose of this paper is to study the problem of PFAL, a flexible (evolution) planning method to respond to product evolution for PFAL, to focus on product data analysis and evolution planning method.

The evolution balancing model for PFAL is established and an improved NSGA_II (INSGA_II) is proposed. From the perspective of data analysis, dynamic characteristics of PFAL are researched and analyzed. Especially the tasks, which stability is considered, can be divided into a platform and individual task. In INSGA_II algorithm, a new density selection and a decoding method based on sorting algorithms are proposed to compensate for the lack of traditional algorithms.

The effectiveness and feasibility of the method are validated by an example of PFAL evolution planning for a family of similar mechanical products. The optimized efficiency is significantly improved using INSGA_II proposed in this paper and the evolution planning model proposed has a stronger ability to respond to product evolution, which maximizes business performance over an effective period of time.

The assembly line designers and managers in discrete manufacturing companies can obtain an optimal solution for PFAL planning through the evolution planning model and INSGA-II proposed in this paper. Then, this planning model and optimization method have been successfully applied in the production of small wheel loaders.

This study aims to explore how cocreated brand meaning builds and affects dynamic brand positioning in a hyperconnected world.

The authors conducted a qualitative study of Casarte, a high-end appliance brand, as an instrumental case for conceptualizing and theorizing. This study constructs a matrix of dynamic brand positioning as the key analysis framework using in-depth interview data, firm materials and user-generated content from online brand communities.

The matrix of dynamic brand positioning has two dimensions: brand core and peripheral meaning, and firm- and customer-led orientation. The interaction between the firm and its customers strengthens the understanding of a brand’s core meaning and consistency perception, expands the scope of brand peripheral meaning and improves the perception of brand meaning diversity. The mutual transformation of the ambidexterity of core and peripheral meanings facilitates the dynamic positioning of brands.

This study is a qualitative case study; the relevant conclusions have not been tested empirically. If longitudinal data of actual tracking support the effect of dynamic brand positioning, the theory’s reliability can be more rigorously tested.

It provides managerial logic and a tool for firms to practice dynamic brand positioning in a hyperconnected world, which contributes to the implementation of the emerging firm-customer synergistic strategy.

This study proposes a construct of dynamic brand positioning supported by qualitative evidence. It disputes the traditional view that brand positioning is determined by the perception of core meaning consistency and creatively puts forward the view that brand positioning evolves dynamically with the mutual transformation of the ambidexterity of brand core meaning and peripheral meaning.

The purpose of this paper is to investigate three issues: how does an innovative search (local search and boundary-spanning search) impact firm innovation performance of latecomers; how does capability reconfiguration (capability evolution and capability substitution) mediates the relationship between innovative search and firm innovation performance; and how does the technological leapfrogging process (initial stage, following stage, synchronization stage and leading stage) moderate the relationship between capability reconfiguration and firm innovation performance.

A “resource-capability-performance” theoretical framework was developed to explore the relationships between local/boundary-spanning search, capability reconfiguration and firm innovation performance. The data were collected by sending out surveys to managers and employees in various industries in mainland China. These hypotheses were tested using structural equation models and hierarchical regressions.

The results showed that: innovative search has a direct causal relationship to capability reconfiguration; local search and boundary-spanning search are conducive to improve the innovation performance of latecomers; the impact of local search and boundary-spanning search on innovation performance is realized through the completion of mediating role of capability reconfiguration; there are differences in the path of local search and boundary-spanning search affecting the capability reconfiguration of enterprise innovation performance; and the relationship between innovative search, capability reconfiguration and enterprise innovation performance evolves with the enterprise in different stages of technological leapfrogging.

This study explores the relationship and the path of innovative search to firm innovation performance and analyzes the path difference between local search and boundary-spinning search, which enriches the research of organizational search and enterprise innovation. This paper reveals the whole path of innovative search affecting innovation performance, discusses the important role of capability reconfiguration and makes incremental contributions to dynamic capability theory. It studies the evolution of innovative search on innovation performance under the background of technological leapfrogging, which provides a new perspective for the study of organizational search and capability-based theory.

The purpose of this paper is to examine the development process of dynamic capabilities.

The paper adopts a qualitative, longitudinal participant-observation research design. A single case study firm was observed over a ten-year period of active researcher engagement allowing for the collection of rich data on the development and deployment of dynamic capabilities as they evolved.

Dynamic capabilities can be identified as sensing, seizing and transforming. They are capable of intentional development by managers through strategic decision making and deliberative learning, within a path-dependent evolution.

A longitudinal single case study allowed for a close look at the development of dynamic capabilities, exploring the context and conditions that facilitated change and tracing the evolution of the organization’s processes. However, this study remains subject to the limits of a single case approach. Future cross-sectional research would be able to test the conceptual model and allow for generalization of the findings to other populations of firms.

The dynamic capability concept has been criticized for being of little practical use to managers. This research shows the process of intentional dynamic capability development, offering insights to practicing managers.

This research adds to the relatively scant base of empirical work on dynamic capabilities and offers a conceptual model of dynamic capability development. The paper contributes to the neglected area of dynamic capabilities in SME’s, showing that the dynamic capability concept is relevant to this sector. The paper provides insight for practitioners by showing that intentional dynamic capability development is achievable.

The purpose of this paper is to propose a new model to show how continuous joint learning of participant organisations improves project performance. Performance heterogeneity between collaborative infrastructure projects is typically examined by considering procurement systems and their governance mechanisms at static points in time. The literature neglects to consider the impact of dynamic learning capability, which is thought to reconfigure governance mechanisms over time in response to evolving market conditions.

There are two stages of conceptual development. In the first stage, the management literature is analysed to explain the standard model of dynamic learning capability that emphasises three learning phases for organisations. This standard model is extended to derive a novel circular model of dynamic learning capability that shows a new feedback loop between performance and learning. In the second stage, the construction management literature is consulted, adding project lifecycle, stakeholder diversity and three organisational levels to the analysis to arrive at the collaborative model of dynamic learning capability.

The collaborative model should enable construction organisations to successfully adapt and perform under changing market conditions. The complexity of learning cycles result in capabilities that are imperfectly imitable between organisations, explaining performance heterogeneity on projects.

The collaborative model provides a theoretically substantiated description of project performance, driven by the evolution of procurement systems and governance mechanisms. The model’s empirical value will be tested in future research.

The purpose of this paper is to determine how high-tech firms should choose between independent research and development and technology introduction as well as to ascertain the effects of the three elements of competitive dynamics on the evolution of innovative behavior-based decisions and competitive results.

This paper describes the construction of an evolutionary game model and a multi-agent-based model of innovative behavior-based decisions by heterogeneous high-tech firms. The models are used to analyze the evolution path and evolutionarily stable strategy of innovative behavior-based decisions. In addition, multi-agent-based simulation is used to gain insight into the effects of competitive dynamics on the dynamic evolution of innovative behavior-based decisions.

This paper reveals four evolutionary equilibrium states of the innovation behavior-based decisions of high-tech firms. Based on the findings, these overall evolutionary trends are not affected by the timing of competitive market entry or the intensity of competition. In addition, simulated evidence is added that the timing of competitive market entry is an important factor affecting market-leading innovative strategies and dynamic competition results, and competition intensity is closely related to the evolutionary speed of innovation behavior-based decisions.

The key contribution of this paper is its new view of innovative behavior-based decisions from a competitive dynamics perspective. The new competitive dynamics-based framework for innovative behavior-based decisions of high-tech firms proposed in the paper can resolve the problem of obtaining a sustainable competitive advantage for high-tech firms in a competitive dynamics context.

The purpose of this study is to review the literature of enterprise capability, which comprises the three dimensions of operational, dynamic and improvisational capabilities, and analyze their differences. Through this review, the authors aim to enrich the enterprise capability theory and provide some directions for entrepreneurial practice in the face of volatility, uncertainty, complexity and ambiguity (VUCA).

The study is based on a systematic review of the literature on enterprise capability as it relates to entrepreneurial firms, following the content analysis approach as described in Gaur and Kumar (2018).

The authors’ conceptual model compares the capability levels of startups and mature enterprises and presents a model for the dynamic evolution of the capability levels of enterprises. In doing so, this study enriches the enterprise capability theory and lays the theoretical foundation for the follow-up empirical research. The authors also provide guidance for entrepreneurial practice in the face of VUCA.

In recent years, scholars have begun to explore the issue of enterprise capability in the field of entrepreneurship. However, because of different research perspectives, one lacks clarity on the concept and dimensions of enterprise capability. The capability theory is relatively weak in guiding the practice of enterprises; enterprises lack effective response strategies in a changing environment, and the failure rate of startups is high. This study aims to develop a deeper understanding of enterprise capability.

This study aims to answer the question of how business models (BMs) maintain stability while coping with environmental uncertainties. This study proposes a dynamic co-evolution of knowledge management and business model transformation based on a comparative analysis of the focal firms’ BMs and their main partners in two e-commerce ecosystems in China.

The open data of listed companies regarding the introduction of emerging topics on the transformation tendency of BMs in the post-COVID-19 business world is qualitatively analysed. The theoretical foundation is based on a critical review of the literature.

Three aspects of the co-evolution between knowledge management and business model transformation are introduced. These three aspects are as follows: knowledge integration helps with multi-system business integration and decision-making collaborations; knowledge sharing helps to enhance cognitive ability and network value based on businesses; and the creation of new knowledge helps enrich the knowledge base and promote the transformation of BMs.

Solely attributing a firm’s ability to cope with environmental uncertainties to its business model weakens the importance of its knowledge management. This study argues that the co-evolution between knowledge management and business model transformation also plays a key role in a firm’s response to issues post-COVID-19.

This study calls for the development of a normative theory of co-evolution between knowledge management and business model transformation, implying uncharted territories of knowledge management based on interaction with business model designs in e-business ecosystems.