Developing Strategies in the Sharing Economy: Human Influence on Artificial Neural Networks

Developing Strategies in the Sharing Economy: Human Influence on Artificial Neural Networks

Ramona Diana Leon
ISBN13: 9781799845430|ISBN10: 1799845435|ISBN13 Softcover: 9781799852131|EISBN13: 9781799845447
DOI: 10.4018/978-1-7998-4543-0.ch011
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MLA

Leon, Ramona Diana. "Developing Strategies in the Sharing Economy: Human Influence on Artificial Neural Networks." Strategies for Business Sustainability in a Collaborative Economy, edited by Ramona-Diana Leon, IGI Global, 2020, pp. 199-221. https://doi.org/10.4018/978-1-7998-4543-0.ch011

APA

Leon, R. D. (2020). Developing Strategies in the Sharing Economy: Human Influence on Artificial Neural Networks. In R. Leon (Ed.), Strategies for Business Sustainability in a Collaborative Economy (pp. 199-221). IGI Global. https://doi.org/10.4018/978-1-7998-4543-0.ch011

Chicago

Leon, Ramona Diana. "Developing Strategies in the Sharing Economy: Human Influence on Artificial Neural Networks." In Strategies for Business Sustainability in a Collaborative Economy, edited by Ramona-Diana Leon, 199-221. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-4543-0.ch011

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Abstract

The sharing economy is challenging the traditional business models and strategies by encouraging collaboration, non-ownership, temporal access, and redistribution of goods and/or services. Within this framework, the current chapter aims to examine how managers influence, voluntarily or involuntarily, the reliability of a managerial early warning system, based on an artificial neural network. The analysis focuses on seven Romanian sustainable knowledge-based organizations and brings forward that managers tend to influence the results provided by a managerial early warning system based on artificial neural network, voluntarily and involuntarily. On the one hand, they are the ones who consciously decide which departments and persons are involved in establishing the structure of the managerial early warning system. On the other hand, they unconsciously influence the structure of the managerial early warning system through the authority they exercise during the managerial debate.

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