Creating new tech entrepreneurs with digital platforms: Meta-organizations for shared value in data-driven retail ecosystems

Sandro Battisti, Nivedita Agarwal and Alexander Brem

Technological Forecasting and Social Change, 2022, vol. 175, issue C

Abstract: Creating technologically focused entrepreneurs is a crucial endeavor worldwide, especially with the exponential growth of artificial intelligence (AI) innovation. This research explores meta-organizations that enable new business models in the retail domain by acting as a powerful mechanism to support entrepreneurs in extracting value from data. This study investigates how meta-organizations engage users and empower tech entrepreneurs to create shared value by developing social innovation. This research involves an in-depth and longitudinal unique case study of a meta-organization operating in Italy, Germany, and Finland. Results indicate that the flexible structure of meta-organizations can effectively guide stakeholders of different mindsets to offer support to high-tech startups. AI-based platforms are a reliable alternative to tackle critical social issues in order to improve economic growth and increase people's performance in a stressful, competitive environment, such as the retail sector. The findings affirm that AI-based innovation orchestrated by meta-organizations can enable new business models by creating shared value for society. Seven critical success factors with implications for theory and practice are discussed, and a new model for AI-driven entrepreneurship is proposed.

Keywords: Meta-organization; Artificial intelligence; Decision-making; Business ecosystem; Social innovation; Retail business (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:175:y:2022:i:c:s0040162521008234

DOI: 10.1016/j.techfore.2021.121392

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