Synergizing Ai and Business: Maximizing Innovation, Creativity, Decision Precision, and Operational Efficiency in High-Tech Enterprises
| dc.contributor.author | Ali, M. | |
| dc.contributor.author | Khan, T.I. | |
| dc.contributor.author | Khattak, M.N. | |
| dc.contributor.author | ŞENER, İ. | |
| dc.date.accessioned | 2025-05-13T11:56:41Z | |
| dc.date.available | 2025-05-13T11:56:41Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | The study was conducted on 125 US based high-tech firms from software engineering, hardware production, biotechnology, and telecommunications. Senior-level executives, including CEOs, board members, and CTOs, provided insights through structured questionnaires. Key findings indicate that AI adoption significantly enhances organizational capabilities in terms of employees’ innovation, creativity, and experimentation. Moreover, AI adaptation positively impacts decision making thus yielding more accurate and timely valuable decisions. These findings contribute to both theoretical understanding and managerial practice by guiding strategic investments in AI technologies, fostering innovation, and advocating for ethical AI deployment practices. Future study should examine longitudinal impacts across industries and regions to optimize benefits and minimize risks in digital transformation efforts. It should also integrate qualitative methods for deeper insights and appropriate AI governance systems. © 2024 | en_US |
| dc.identifier.doi | 10.1016/j.joitmc.2024.100352 | |
| dc.identifier.issn | 2199-8531 | |
| dc.identifier.scopus | 2-s2.0-85201776910 | |
| dc.identifier.uri | https://doi.org/10.1016/j.joitmc.2024.100352 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12416/9752 | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier B.V. | en_US |
| dc.relation.ispartof | Journal of Open Innovation: Technology, Market, and Complexity | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Innovation | en_US |
| dc.subject | Operational Efficiency | en_US |
| dc.subject | Performance | en_US |
| dc.subject | Technology Adoption | en_US |
| dc.title | Synergizing Ai and Business: Maximizing Innovation, Creativity, Decision Precision, and Operational Efficiency in High-Tech Enterprises | en_US |
| dc.type | Article | en_US |
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| gdc.description.department | Çankaya University | en_US |
| gdc.description.departmenttemp | Ali M., Organizational Theory, Baskent University, Research Associate. The University of Haripur, Director (Sustainable Development Research Center), CEO (The Greek, Research and Development Center), Pakistan; Khan T.I., The University of Haripur, Pakistan; Khattak M.N., Assistant Professor in the Department of Management at the College of Business Administration, Ajman University, United Arab Emirates; ŞENER İ., Çankaya University, Director (Technology Transfer Office Research and Implementation Center), Coordinator (Scientific Research Projects Coordination Unit), Turkey | en_US |
| gdc.description.issue | 3 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
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| gdc.description.startpage | 100352 | |
| gdc.description.volume | 10 | en_US |
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| gdc.oaire.keywords | Artificial intelligence | |
| gdc.oaire.keywords | HF5001-6182 | |
| gdc.oaire.keywords | Performance | |
| gdc.oaire.keywords | Management. Industrial management | |
| gdc.oaire.keywords | Business | |
| gdc.oaire.keywords | Operational efficiency | |
| gdc.oaire.keywords | Innovation | |
| gdc.oaire.keywords | HD28-70 | |
| gdc.oaire.keywords | Technology adoption | |
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