Developing a Resilient Business Model for Complex Techno-social Organizations by Meta-Synthesis Method

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Objective

Highly unstable social and economic ecosystems have inevitably resulted in severe momentums and adverse environmental changes. To overcome the mentioned challenge and also increase their competitiveness, most businesses have accepted a resilience approach. Moreover, the presence of so called techno-social Complex Systems has given rise to serious challenges in developing Business Plans. To have accurate planning for the business, social issues, technical processes, and their correlation should be simultaneously addressed. In this work, following a comprehensive review of the previous efforts, a more detailed and sophisticated explanation of how techno-social factors impact  resilience Business model will be investigated. In other words, we aim to develop an improved Business model  model for companies dealing with the mentioned challenges.

Methods

Meta-Synthesis method have been used for gathering necessary resources. A complete review of all related references has been carried out. 78 outstanding articles have been selected from all the papers published since 2000. The study and analysis of these 78 references has built the framework of our work.

Results

In this work 85 sub-codes, indicating the impacts on resilience business model, have been successfully extracted. Using these codes and their proximity in definition, 21 core themes were defined in the next part. Finally, the developed themes have been categorized into four main elements of Business Model Ontology: customer, management, infrastructure, financial flows, and recommended value.

Conclusion

The finally presented model, enjoying simultaneous analysis of social parameters and corporate technical processes, has shown to provide more generality in modeling. The model would be a great help for senior managers to desing resilient  business model. In addition, this model can efficiently be used in thorough assessment of resilience in techno-social companies.

Language:
Persian
Published:
Journal of Industrial Management, Volume:14 Issue: 47, 2023
Pages:
507 to 538
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