Identifying Qualitative Indicators For Evaluating IoT Business Models Based On Big Data Analysis In The Smart City

Document Type : Original Article

Authors

1 Assistant Professor, Department of Business Administration, Faculty of Management and Accounting, Farabi Campus, University of Tehran, Qom, Iran

2 Professor, Department of Information Technology Management, Faculty of Management, University of Tehran, Tehran, Iran

3 PhD Student, Department of Industry and Technology Management, Faculty of Management and Accounting, Farabi Campus, University of Tehran, Qom, Iran

Abstract

The growing population density in cities and the need for infrastructure services to meet the demands of citizens on the one hand and the increasing development of digital technologies on the other hand, have led governments to form smart cities. Smart cities employ the capabilities of emerging technologies such as the Internet of Things and Big Data to collect and analyze smart devices’ data for improving infrastructure and enhancing the quality of public services. These issues lead planners to a huge amount of financial investment and innovation in business models. The smart city encompasses a variety of stakeholder groups and IoT creates novel business opportunities through collecting and analyzing the data of sensors and smart devices. In this regard, identifying effective indicators for designing a business model is needed to ensure value creation. The purpose of this research is to identify and classifying the main indicators for designing business models of IoT Big Data projects in the smart city. For fulfilling this purpose, the meta-synthesis methodology is employed. Among the 212 articles identified, 48 met all inclusion criteria and were reviewed in-depth. After content analysis, a conceptual model was designed and 21 Indicators were extracted based on the structure of the conceptual model. These indicators are classified into five categories: value creation drives, value creation nodes, value exchange, value capture, and environmental drivers.

Keywords

References

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