Computer-Supported Strategic Decision Making for Ecosystems Creation
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| Udgivet i: | Computers vol. 13, no. 12 (2024), p. 322 |
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| Hovedforfatter: | |
| Andre forfattere: | , , , |
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MDPI AG
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| Online adgang: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 022 | |a 2073-431X | ||
| 024 | 7 | |a 10.3390/computers13120322 |2 doi | |
| 035 | |a 3149567449 | ||
| 045 | 2 | |b d20240101 |b d20241231 | |
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| 100 | 1 | |a Rodriguez-Garcia, Patricia |u Department of Computer Science, Universitat Oberta de Catalunya, Rambla Poblenou, 08018 Barcelona, Spain; <email>patroga@uoc.edu</email> (P.R.-G.); <email>jmartinsola@uoc.edu</email> (J.A.M.) | |
| 245 | 1 | |a Computer-Supported Strategic Decision Making for Ecosystems Creation | |
| 260 | |b MDPI AG |c 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a In the corporate strategy arena, the concept of ecosystems has emerged as a transformative approach to promote competitive advantage, growth, and innovation. Corporate ecosystems enable companies to benefit from interconnections among diverse partners, products, and services to deliver enhanced value to customers. However, the process of ecosystem creation represents a significant challenge for CEOs, as they must analyze a wide number of alternative sectors, partners, business cases, and other critical elements. Particularly, as it is a strategic decision, it lies beyond the traditional approach of risk-return by incorporating other factors, e.g.: the feasibility, desirability and sustainability of each alternative. This paper investigates how computer-supported optimization algorithms can help to solve the complex problem faced by CEOs when making these factors to create a successful and sustainable ecosystem. The paper shows how a CEO can make informed strategic decisions by identifying the best projects to include in the ecosystem portfolio, balancing financial risk and return with technical feasibility, customer appeal, and technical considerations. | |
| 653 | |a Customers | ||
| 653 | |a Social responsibility | ||
| 653 | |a Collaboration | ||
| 653 | |a Technology assessment | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Computer aided decision processes | ||
| 653 | |a Market positioning | ||
| 653 | |a Corporate growth | ||
| 653 | |a Optimization | ||
| 653 | |a Decision making | ||
| 653 | |a Sustainability | ||
| 653 | |a Feasibility | ||
| 653 | |a Algorithms | ||
| 653 | |a Objectives | ||
| 653 | |a Project feasibility | ||
| 700 | 1 | |a Carracedo, Patricia |u Research Center on Production Management and Engineering, Universitat Politècnica de València, Plaza Ferrandiz-Carbonell, 03801 Alcoy, Spain; <email>pcarracedo@eio.upv.es</email> | |
| 700 | 1 | |a Lopez-Lopez, David |u ESADE Business School, Universitat Ramon Llul, Av. Torre Blanca, 08172 Sant Cugat, Spain; <email>david.lopez1@esade.edu</email> | |
| 700 | 1 | |a Juan, Angel A |u Research Center on Production Management and Engineering, Universitat Politècnica de València, Plaza Ferrandiz-Carbonell, 03801 Alcoy, Spain; <email>pcarracedo@eio.upv.es</email> | |
| 700 | 1 | |a Martin, Jon A |u Department of Computer Science, Universitat Oberta de Catalunya, Rambla Poblenou, 08018 Barcelona, Spain; <email>patroga@uoc.edu</email> (P.R.-G.); <email>jmartinsola@uoc.edu</email> (J.A.M.) | |
| 773 | 0 | |t Computers |g vol. 13, no. 12 (2024), p. 322 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3149567449/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3149567449/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3149567449/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |