Business Models as Enablers of Ecosystemic Interaction

Gomes, Julius Francis; Iivari, Marika; Pikkarainen, Minna; Ahokangas, Petri

doi:10.4018/ijsesd.2018070101

Cited by 25 publications

(16 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, a business ecosystem values cooperative relations with a shared goal beyond the concept of value chains and supply chains [31]. Moreover, it is important to build an integrative relationship along the value chain in order to create a successful business ecosystem [32].…”

Section: Cluster Analysismentioning

confidence: 99%

Study on Business Ecosystem Research Trend Using Network Text Analysis

2021

View full text Add to dashboard Cite

The management environment is moving into a new phase with the changing global circumstances. The business ecosystem as a management strategy has been studied for the last 30 years since the concept was introduced. The purpose of this study was to analyze the research trend in business ecosystem by using network next analysis and to understand the concept, being one that is still being actively studied. Network text analysis is a commonly used method to analyze research trends by forming networks based on bibliographic data of the articles, namely, keywords. For the analysis, we collected the data and keywords from 340 research papers published in global academic journals related to business ecosystem on the basis of the Scopus database. Through keywords extraction and cleansing, we found that the keywords of “innovation”, “sustainability”, and “platform” were mentioned most frequently, and the research topics were correlated to each other. Moreover, we conducted degree centrality and betweenness centrality analysis along with clustering analysis by transforming the two-mode network into a one-mode network. Degree centrality involves analyzing the degree to which one keyword links to other keywords, and betweenness centrality shows the mediating effects of a keyword to other keywords. In the centrality analysis results, “innovation”, “sustainability”, “platform”, and “business model” showed the highest degree centrality, and “sustainability”, “innovation”, “China”, and “platform” had the highest betweenness centrality. Then, we classified the clusters of subtopics into five groups. The current study examined accumulated research and suggested a comprehensive understanding of the research trend in business ecosystem by incorporating a method enabling research trend analysis to secure objectivity. This research is expected to help researchers to review the research trend in business ecosystem and identify expandable topics for further studies.

show abstract

Section: Cluster Analysismentioning

confidence: 99%

Study on Business Ecosystem Research Trend Using Network Text Analysis

2021

View full text Add to dashboard Cite

show abstract

“…When designing ecosystems, it is necessary for state policy and regional development of the market to revise both the possibilities of cooperation and the interfaces of interaction between the stakeholders of entrepreneurial activity. Academic literature creates a theoretical basis for the study of business ecosystems, which relies on theories of economic evolution and considers important concepts such as co-evolution, self-organization, emergence, conscious choice, limited knowledge, interconnectedness, feedback and interaction of variation, selection and development (Basole et al , 2018; Demil et al , 2018; Gomes et al , 2018; Humbeck et al , 2019; Peltoniemi and Vuori, 2004; Pidun et al , 2020; Rinkinen and Harmaakorpi, 2019; Scarlat, 2007). Despite the fact that business ecosystem creation is an urgent issue in the context of the digitalization of the economy, creating business models with a focus on innovative advancement is still an unaddressed problem due to the need to define the roles of ecosystem participants; enterprises do not fully understand their functionality, which hinders their development.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Digital ecosystem structure formation depending on the archetype of distribution network participants

Krasyuk¹,

Kolgan²,

Medvedeva³

2021

EJMBE

View full text Add to dashboard Cite

Purpose Fundamental changes in economic relations, instability of the market environment in which enterprises operate and increased intensity of competitive influences to obtain better business conditions emphasize the importance of the nature of interaction for all participants of business processes in the distribution channel and the success of the chosen business structure. This circumstance determines the expansion of the content of the ecosystem approach to the organization of enterprise activities and the clarification of the participants' roles in such systems. The purpose of the study is to identify the key features and differences in business models of digital ecosystem participants that are critical to shaping the value of the distribution system. Design/methodology/approach In this paper, within the framework of the theoretical component, the authors analyze conceptual and empirical articles contained in the Web of Science database and also rely on information obtained from the study of articles by Russian academicians in specialized journals, monographs and conference abstracts. Using the method of content analysis, data on enterprises were collected and generalized into cases, which made it possible to propose possible classification properties of enterprise archetypes within the digital ecosystem and to determine the general properties of the objects under study and their interrelations. Findings The systematization of results allows us to present a co-competitive activity model for ecosystem participants, depending on their archetype, where they are segmented according to the dominant principle of role and activity within the system. From a practical point of view, the considered classification of the archetypes of recipient enterprises and their economic relations make it possible to structurally visualize a digital ecosystem, which significantly reduces the distance between the consumer of the product/service, the manufacturer and the seller. This reduces the time of delivery and waiting as well as the time to find a suitable option making the market more perfect. The proposed conceptual framework indicates the interdependence of the development of all participants in the product distribution and proves that successful business models take part in the market expansion. Finally, the authors' systematic review of the academic literature results in identifying certain promising directions for future research based on the consideration of open ecosystems with transparent infrastructure. Research limitations/implications The results are limited by the authors' sample data and the case study approach. The study does not show the further evolution of the digital ecosystem depending on the set and configurations of ecosystem participants. The authors introduce a possible new classification of archetypes of ecosystem participants and a co-competitive activity model for ecosystem participants depending on these archetypes. Practical implications From a practical point of view, the considered classification of the archetypes of recipient enterprises and their economic relations make it possible to structurally visualize a digital ecosystem, which significantly reduces the distance between the consumer of the product/service, the manufacturer and the seller. Originality/value From a practical point of view, the considered classification of the archetypes of recipient enterprises and their economic relations makes it possible to structurally visualize a digital ecosystem, which significantly reduces the distance between the consumer of the product or service and the manufacturer or the seller. This reduces the time of delivery and waiting as well as the time to find a suitable option making the market more perfect in this respect.

show abstract

“…Furthermore, recent studies stemming from ecosystem perspective [18] do not presume a focal firm and sees business model to "create value through the exploitation of business opportunities". In addition to value and opportunity, the exploration and exploitation of competitive advantages form strategic business choices of company [27,[29][30][31][32][33]. In studies analyzing the antecedents of the prosperous business, three strategic implication were found: capabilities to scale [19], replicate [20], and sustain [21].…”

Section: Business Model Frameworkmentioning

confidence: 99%

Scalability and Replicability of Spectrum for Private 5G Network Business: Insights into Radio Authorization Policies

Ojanen¹,

Yrjölä

2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

View full text Add to dashboard Cite

New spectrum bands are being released to respond to the growing need for locally deployed industrial and private networks. This calls for new licensing schemes and spectrum sharing approaches. New challenges are faced from the ever-increasing variety of released spectrum bands with different technical and operational requirements and the increasing fragmentation of spectrum management approaches. While the standardization is progressing and technical solutions are developed for the new networks, less attention has been paid to the radio product related regulation, including equipment authorization frameworks. With roots in engineering, policy and economics, this paper looks through the lenses of business model framework at scenarios of wireless equipment authorization related to novel spectrum management approaches. This paper provides an overview of radio authorization for mobile communication networks and develops a conceptual framework to depict and analyze authorization policies. The results indicate the strong impact the authorization frameworks have on the scalability and replicability of the business. This calls for novel models of governance and regulation that highlight utilization of harmonized, widely employed frequency bands and the associated technical requirements.

show abstract

Business Models as Enablers of Ecosystemic Interaction

Cited by 25 publications

References 26 publications

Study on Business Ecosystem Research Trend Using Network Text Analysis

Study on Business Ecosystem Research Trend Using Network Text Analysis

Digital ecosystem structure formation depending on the archetype of distribution network participants

Scalability and Replicability of Spectrum for Private 5G Network Business: Insights into Radio Authorization Policies

Contact Info

Product

Resources

About