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Dyadic multi-dimensionality informs the variation that exists within and between network ties and suggests that ties are not all the same and not all equally strategic. This chapter presents a model of dyadic evolution grounded in dyadic multi-dimensionality and framed within actor-level, dyadic-level, endogenous, and exogenous contexts. These contexts generate both strategic catalysts that motivate network action and bounded agency that may constrain such network action. Assuming the need to navigate within bounded agency, the model highlights three strategic processes that demonstrate how dyadic multi-dimensionality underlies the evolution of strategic network ties.

The purpose of this paper is to study the issue of contingency evolution of acquisition organization systems with the game group link method.

The concept and method of the game group link are used to analyze the evolution law of acquisition, to find a basis for the contingency evolution of acquisition organization system.

Studies prove that the contingency evolution of acquisition organization systems has the following basic laws: continuous evolution laws adapted to environmental requirements; laws of coordinated evolution as a whole, law of evolution from gradual change to sudden change; evolution path is determined by concrete situations; evolution pattern is determined by dynamic conditions; and law of evolution promoted by innovation.

Research results of this paper have significance in inspiration and theoretical instruction in respect of effectively increasing evolution profits of acquisition organization systems, promoting realization of purpose of acquisition organization systems, actively boosting evolution, and continuous development of acquisition organization systems.

It is shown that the acquisition process is the reasoning game process, development game process, and production game process conducted in turns by the main participating bodies of acquisition during the full life cycle of equipment. This process has clear features of “link,” and a correlated game link is formed among its different stages.

The paper proves that the acquisition process is a process of multi‐stage complex games and evolution game, with the full life cost control as the key issue in face of a fixed budget.

This paper sets out to critique the applicability of e‐commerce staged models in explaining the progression of small and medium‐sized businesses (SMEs) in their use of internet technologies. The premise of this study is that examining the evolution of web sites over time gives us insights into actual evolving strategies and motivations behind internet investments.

An alternative multidimensional framework is proposed that combines three different dimensions of organizational change (process, content, and drivers). The content or categories of the dimensions are defined and justified. A study of 192 web sites and their evolution is described. This helps to demonstrate the relevance and applicability of the dimensions of the framework.

The study describes the different approaches (monitoring, content analysis and case studies) and the characteristics of changes on these web sites. It was found that the main evolution strategies were “content updates” and “dormant sites”. In addition, the majority of companies seem to have evolved their web sites to refresh the image and change navigation protocols and not to add transactional e‐commerce features.

The proposed framework is argued to be useful to academics, providing multiple perspectives, enabling more insightful study of SMEs' e‐business adoption and progression, and avoiding over‐simple a priori theory, e.g. staged models. The framework is also argued to be useful for SME managers seeking to make the most of their limited resources in this context.

The paper provides a multidimensional framework which is new and comprehensive. It also provides some research findings using the framework relating to a pilot study of 192 SME web sites. Little prior research has been carried out on the evolution of SMEs' web sites, in terms of the type of drivers, the features that have been incorporated over time, and how they have changed.

This paper aims to contribute to understanding of strategy development by reporting a detailed case study of one pharmaceutical company over an 11‐year period using a framework for classifying strategic actions developed from a broader study of strategic behaviour in the industry.

The paper utilises a longitudinal text analysis using published documentary sources to explore the strategic actions and grand strategies realised by Bioglan during 1992‐2002.

The findings develop concepts from the economics, ecology and strategy literature in order to highlight that, rather than strategy research focusing on “with whom and how do firms compete?” the emphasis should be on “with whom and how do firms co‐evolve?”

The paper only explored the realised strategies of one firm during an 11‐year period using only published documentary sources.

Previous research does not appear to have explored the evolution and co‐evolution of a firm's strategic actions prior to its death, a gap that this paper aims to help to fill.

In recent years, with the increase in computing power, artificial intelligence can gradually be regarded as intelligent agents and interact with humans, this interactive network has become increasingly complex. Therefore, it is necessary to model and analyze this complex interactive network. This paper aims to model and demonstrate the evolution of crowd intelligence using visual complex networks.

This paper uses the complex network to model and observe the collaborative evolution behavior and self-organizing system of crowd intelligence.

The authors use the complex network to construct the cooperative behavior and self-organizing system in crowd intelligence. Determine the evolution mode of the node by constructing the interactive relationship between nodes and observe the global evolution state through the force layout.

The simulation results show that the state evolution map can effectively simulate the distribution, interaction and evolution of crowd intelligence through force layout and the intelligent agents’ link mode the authors proposed.

Based on the complex network, this paper constructs the interactive behavior and organization system in crowd intelligence and visualizes the evolution process.

The purpose of this paper is to increase understanding of project portfolio management (PPM) capability evolution, in order to guide the implementation and ongoing development of robust capabilities.

This research adopts a dynamic capabilities perspective and draws on organizational learning theory to investigate the path‐dependent nature of PPM implementation and development. It employs a multiple‐case study of six organizations.

Each of the case organizations reported a high level of evolution and change within their PPM capabilities, both purposeful and unintended. Potential “fragilities” are identified, such as the emergence of a “success trap” that inhibits explorative innovation and difficulties in stopping poor projects to reallocate resources. Based on findings from the literature and the multiple‐case study, a capability maturity model is proposed to assist in the development of robust PPM capabilities that will continue to evolve and stay relevant in dynamic environments.

The research is based on six organizations and may not be representative of all environments. The proposed maturity model has only been used in initial trials to evaluate capability maturity, and its use in guiding capability development has not been studied. Further research is required to test and evolve the maturity model.

The maturity model will be of interest to managers as a tool to analyze PPM maturity and identify areas for further development or to guide new PPM implementations.

The proposed maturity model extends existing maturity models by incorporating organizational learning capabilities, by recognizing antecedents for maturity stages that build upon other capabilities, and by including steps to recognize and avoid potential “fragilities” and to ensure robust PPM performance over time.

The purpose of this paper is to analyze the evolution of a supply network and the causes of network change and stability. It presents the study of a supply network of Delphi Braga (Portugal), one of the largest European plants producing car-radios, navigation system and other related products, in order to understand how it changed over time. The paper contributes to the understanding of network management.

The case study was carried out on a network of five suppliers of Delphi Braga adopting a relational view of networks meaning that both parties of the relationships were studied. Data and results are based on document sources and interviews with managers both from Delphi and the studied suppliers.

The causes of network change and stability are both exogenous and endogenous. They are multiple and have different impacts on network structures and processes. The paper analyses several causes of network change and their impact on the studied supplier network.

The research is based on a single case study. Although the studied supplier network comprises several firms, it should be pointed out that each network has its own dynamics and structures. Therefore, though the paper makes a relevant contribution for network management, the results cannot be generalized for other networks and firms.

Managers should be aware of the dynamics of their supplier networks and understand the different impacts of both their firm’s decisions as well as the environment changes. By doing this, managers can anticipate changes in the structure and dynamics of their supplier networks.

This case study contributes to our current understanding of relationship development both at the dyadic and network level by analyzing the case of a supply network in a major European plant of car-radios and navigation systems. It discusses implications and proposes further research to advance knowledge on the topic of network change.

In the course of cultural evolution, certain institutions have emerged and become dominant in the Western world that have led to an unprecedented rise in prosperity and population. This paper first explains the characteristics and significance of cultural evolution. Subsequently, it explains the fundamental role of politics and the scope for political action in cultural evolution, clearing up some fairly widespread misconceptions about this question. Finally, it derives three specific guidelines from the characteristics of cultural evolution that should be followed in politics. First, the principle of individual freedom should be realized as far as possible. Second, the rule of law should be secured. Third, the scope of action of the state should be closely limited and the state should be decentrally organized. The more consistently these guidelines are followed, the better the prospects of the respective society to survive and prosper in the competitive process of cultural evolution.

What new empirical implications can emerge in the organizational adaptation domain by adopting a multi-level co-evolutionary theoretical perspective? How does the performance appraisal process affect the evolution of the organization? The purpose of this paper, positioned within the organizational evolution research field, is to untangle the complexity behind emergence, development, and extinction of business processes over time, highlighting the inner mechanisms behind the adaptation process.

The work is presented as a longitudinal, single case study of a service firm. Scholars concur in considering this approach particularly reliable when investigating the evolution of a practice (Feldman, 2000; Howard-Grenville, 2005; Lazaric and Denis, 2005). Data have been collected during 2014 through three main methods: unstructured interviews, meeting observations, and direct observation of participants.

From the analysis, it emerges that the impact of the performance appraisal routine on individual and group dynamics is the main determinant behind organizational inertia and resistance to change. In particular, the degree of managerial control exerted, the feedback scheme applied, and the group interaction mechanisms are predictors of the degree of business process exploitation or exploration within a practice.

In order to address the exploratory nature of the work, further developments may deepen the analysis investigating and comparing the findings obtained in different business contexts, highlighting important similarities or differences in various sectors. Different empirical settings might also be beneficial in further investigating the complexity of additional dimensions of routines’ evolution, especially at the group and organization level of analysis.

The insights from the case may serve as useful inputs to improve the efficiency of the service firm examined, and to identify possible mechanisms to foster knowledge production and replication within the practice.

The paper, by adopting a co-evolutionary perspective, has been conceived as a deliberate search for new empirical implications in the organizational evolution research domain at multiple levels of analysis.

This paper aims to obtain optimal specialization mode and level for complex network or system structures. In the e-commerce system, this paper studies the changes of each transaction subject in the process of ecological structure based on the income level of each transaction subject.

This paper aims to research the change of transaction efficiency evolution process of intermediaries. With the improvement of transaction efficiency, intermediaries interact with other transaction subjects at given modes in e-commerce systems. This paper analyzes the relationship between the factors of production and trade and explains the quantitative relationship between them in the form of mathematical modeling. An evolution simulation framework is established to elaborate the simulation process and method of crowd network in e-commerce ecosystem and then sets up the simulation experiment.

During simulation processes, the changes of data are observed and analyzed to obtain the optimal evolution paths and specialization modes. Furthermore, this paper provides solid supports for the research of the quantitative analysis of ecological structure evolutions.

Evolution simulation of ecological structure is first proposed in the topic of crowd network. It is with the aid of the concept of ecology, the theory and method, simulation of complex network structure and system structure. This paper analyses and researches the evolution process of optimal specialization modes and intelligent level of crowd networks with transaction efficiency changing. The ecological structure optimal evolution paths can be obtained by trend of simulations.