Analysis Of Business Ecosystems Research Articles

Network dynamics of positive energy districts: a coevolutionary business ecosystem analysis

IntroductionAmid the rising interest in sustainable urban development, Positive Energy Districts (PEDs) have become a focus of research. This study examines the dynamic processes that influence the development and scalability of PEDs from a co-evolutionary business ecosystem perspective.MethodsTo delve into the dynamics of Positive Energy Districts, we applied the business ecosystem framework to a real-world case study, namely the Hunziker Areal. Our research methodology involved the development and validation of a high-level conceptual model. This was achieved through workshops and guided interviews with experts engaged in pilot and research projects related to PEDs.ResultsThe study highlights the significance of employing a systemic approach to evaluate the potential of PEDs in enhancing housing sustainability while creating value for diverse stakeholders. Through the utilization of causal loop diagrams, key feedback loops explaining the diffusion of PEDs are identified. Moreover, the study reveals varying perceptions of PED utility among stakeholders, who assess the impact using different Key Performance Indicators (KPIs) such as CO2 target achievement and well-being. Key factors influencing technology adoption, such as low prosumer electricity unit cost, are also identified.DiscussionOur findings further shed light on crucial aspects affecting value capture and the attractiveness of the ecosystem to investors. Additionally, the study underscores the critical role of supportive policies and regulations in facilitating the diffusion and scalability of Positive Energy Districts.

Removing barriers to plastic waste valorisation in Africa: Towards policies for value creation and capture in business ecosystems

AbstractStimulating plastic waste valorisation is suggested as an important way to address the growing waste problem in low‐income countries. However, policy interventions have not led to substantial waste valorisation, and the reasons for this have not been thoroughly analysed. We address this through a qualitative study of plastic waste in urban Zambia, which is representative of the policy and practice challenges in African plastic waste management. Using extensive data gathered through interviews, site visits and stakeholder meetings, we first conduct a business ecosystem analysis which provides a holistic view on value creation, capture, and destruction processes across all actors involved in the plastics lifecycle. Next, we map the barriers to value creation and capture by the system's main actors. Aggregation of these barriers reveals a low‐value trap, in which individual actors are disincentivized to increase waste valorisation activities. Finally, we analyse the reasons why policies aimed at waste valorisation have failed to break through this status quo. We find that policies have insufficiently addressed the barriers that keep the low‐value trap in place. Hence, they have not acted effectively on the root causes of systemic stagnation. By combining a business ecosystems analysis with an identification of barriers facing the individual actors in that ecosystem, our study is able to show why substantial plastic waste valorisation has not emerged despite policy incentives. Our analysis points toward concrete policy actions aimed at value redistribution and value increase, as key leverage points in the system to increase valorisation.

Transaction Analysis of Business-Ecosystems

Business-ecosystem is a rather new organizational form of interaction on market between customer and producer, which is used widely today by business-organizations of different organization and legal forms and types of economic activity. The article provides the analysis of business-ecosystems in view of the theory of transaction costs. The terms ‘ecosystem' was initially proposed to describe the environment of mutual existence of different biological beings. Later it was used for depicting the environment of business-organization. In this environment various antipodes exist and interact. At first sight they should avoid collaboration with each other, but in fact mutual coexistence intensifies every participant and fosters their development, therefore, they shall find forms and means of co-existence. In spite of the fact that business-ecosystem is a rather new trend in research in the field of economy and management, certain approaches to research and classification of the phenomenon have been created. The author in view of neo-institutional theory proves that business-ecosystem meets all classical canons, therefore it functions as a classical business-organization with similar goals and relevant tools.

Visual decision support for business ecosystem analysis

This study comparatively evaluates the effectiveness of three visualization methods (list, matrix, network) and the influence of data complexity, task type, and user characteristics on decision performance in the context of business ecosystem analysis. We pursue this objective using an exploratory study with 14 prototypical users (e.g. executives, analysts, investors, and policy makers). The results show that in low complexity contexts, decision performance between visual representations differ but not substantially. In high complexity contexts, however, decision performance suffers significantly if visual representations are not appropriately matched to task types. Our study makes several theoretical and practical contributions. Theoretically, we extend cognitive fit theory by investigating the impact of business ecosystem task type and complexity. Managerially, our study contributes to the relatively underexplored, but emerging area of the design of business ecosystem intelligence tools and presentation of business ecosystem data for the purpose of decision making. We conclude with future research opportunities.

The Study on Business Ecosystem Analysis based on the Big Data Environment

The Study on Business Ecosystem Analysis based on the Big Data Environment

Новые тренды в развитии теории и методов стратегического менеджмента

The article deals with trends in the development of strategic management theory as follows: a transfer from analysis of the industry to analysis of business ecosystems, strategic business networks as the most important mechanism to increase companies' competitiveness in knowledge economy, a growing role of innovative entrepreneurship when competitive advantages are temporary and under dynamic external environment, and a greater attention to the values factor as the core element of a corporate strategy. Having summarized these trends, we propose an approach to strategy formulation focused on achieving a balance between creating values for customers and maximizing values (profit) for the company. The importance of balanced efforts aimed at creating values for key stakeholders is shown in the cases of Russian companies

Symbiosis Process in Business Ecosystem

The business ecosystems domain emerged as result to the necessity of assessment of new economic procedures and mechanisms between the economic agents. Defined as a community of interrelated agents, a business ecosystems approach can emphasize the most important features of modern economy. The main purpose of this paper is to provide a comparative analysis of business ecosystems with biological ones in order to identify the most important internal features which can describe the symbiosis process. In biological field, the symbiosis is defined as an association of individuals from different type of species. In the business field, this form of association is defined in terms of co-evolution and cooperation. From this point of view it is important to analyze main species who are involved into this type of relations. The starting point of this research is to define reference dimension whose knowledge is important in order to understand involved entities. At this step the concept of innovation will be considered as knowledge reference. The research method will be conducted based on the identification of different categories of elements, individuals and their integration into specific species. This integration will be realized by grouping individuals according to analyzed common features. The foreseen result is to highlight how the individuals knowledge about innovation contributes to the common vision of the entire group. The next step of the research framework will provide a comparative analysis between the established groups of individuals. The main outcome of this research is to provide a new model of reintegration of individuals from different domains of activity not limited by organizational boundaries. As result, this paper will provide a framework for understanding the symbiosis from two points of views: the fusion process between the agents and the knowledge transfer as its result.

BEAM: A framework for business ecosystem analysis and modeling

This paper presents a framework for the modeling and analysis of business model designs involving a network of interconnected business entities. The framework includes an ecosystem-modeling component, a simulation component, and a service-analysis component, and integrates methods from value network modeling, game theory analysis, and multiagent systems. A role-based paradigm is introduced for characterizing ecosystem entities in order to easily allow for the evolution of the ecosystem and duplicated functionality for entities. We show how the framework can be used to provide insight into value distribution among the entities and evaluation of business model performance under different scenarios. The methods are illustrated using a case study of a retail business-to-business service ecosystem.