考察价值创造、知识产权和组织创造力对专注于人工智能的企业的影响

IF 4.5 3区 管理学 Q1 BUSINESS Business Process Management Journal Pub Date : 2023-11-20 DOI:10.1108/bpmj-07-2023-0551
Fatih Pinarbasi, Fatma Sonmez Cakir, Duygu Güner Gültekin, Merve Yazici, Zafer Adiguzel
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引用次数: 0

摘要

以人工智能(AI)为重点的企业旨在利用创新技术提供创造价值和差异化的产品和服务。因此,本文旨在考察价值创造、知识产权和组织创造力等变量对企业成功的影响,并对其进行评价。设计/方法/方法本研究采用随机抽样方法。研究对象为科技园的人工智能企业。在指定的日子,我们会进行短期访问和面对面的调查。姓名和类似的个人信息不在研究中,参与是在自愿的基础上进行的。500个单位的样本量在0.05显著性水平上是足够的。本研究采用SmartPLS(4.0.8.4)授权软件。根据收集到的数据,假设价值创造、知识产权和组织创造力具有积极作用,因此以人工智能为导向的企业可以在绩效标准上取得成功。由于研究是通过收集伊斯坦布尔科技园人工智能导向企业的数据进行的,因此通过概括来评估分析结果是不正确的。因此,建议在考虑到样本有限的情况下,未来计划进行的类似研究应通过开发研究模型来为文献做出贡献。实践启示根据人工智能企业价值创造、知识产权和组织创造力效应的分析结果,为了提高人工智能企业的成功,人工智能企业应该为客户提供更多价值,保护自己的技术,提高自己的创新能力。人工智能企业的价值创造、知识产权和组织创造力是人工智能企业等快速发展行业的重要话题。因此,将这些变量一起调查的研究提供了与以往研究不同的视角。
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Examination of the effects of value creation, intellectual property and organizational creativity on artificial intelligence focused enterprises

Purpose

Aritificial intelligence (AI)-focused enterprises purpose to provide value-creating and differentiated products and services using innovative technologies. For this reason, it is aimed to examine the effects of value creation, intellectual property and organizational creativity variables to make evaluations to increase the success of such enterprises.

Design/methodology/approach

Random sampling method was used in the research. The population of the research consists of AI-oriented enterprises in technoparks. On the specified days, short-term visits and surveys were conducted face-to-face. Name and similar personal information was not taken in the research and participation was made on a voluntary basis. A sample size of 500 units is a sufficient size at the 0.05 significance level. SmartPLS (4.0.8.4) licensed software was used in the research.

Findings

As a result of the collected data, it has been supported by hypotheses that value creation, intellectual property and organizational creativity have positive effects so that artificial intelligence-oriented enterprises can be successful in performance criteria.

Research limitations/implications

Since the research was conducted by collecting data from artificial intelligence-oriented enterprises in technoparks in Istanbul, it would not be correct to evaluate the analysis results by making generalizations. For this reason, it is recommended that similar studies planned to be conducted in the future should contribute to the literature by developing the research model, taking into account the limited situation in the sample.

Practical implications

According to the results of the analysis of the effects of value creation, intellectual property and organizational creativity in artificial intelligence-oriented enterprises, in order to increase the success of such enterprises, they should offer more value to their customers, protect their technologies and increase their innovation capacity.

Originality/value

Value creation, intellectual property, and organizational creativity in AI-focused enterprises are important topics in a rapidly growing industry such as AI-focused enterprises. Therefore, a research investigating these variables together offers a different perspective than previous studies.

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来源期刊
CiteScore
8.60
自引率
9.80%
发文量
58
期刊介绍: Business processes are a fundamental building block of organizational success. Even though effectively managing business process is a key activity for business prosperity, there remain considerable gaps in understanding how to drive efficiency through a process approach. Building a clear and deep understanding of the range process, how they function, and how to manage them is the major challenge facing modern business. Business Process Management Journal (BPMJ) examines how a variety of business processes intrinsic to organizational efficiency and effectiveness are integrated and managed for competitive success. BPMJ builds a deep appreciation of how to manage business processes effectively by disseminating best practice. Coverage includes: BPM in eBusiness, eCommerce and eGovernment Web-based enterprise application integration eBPM, ERP, CRM, ASP & SCM Knowledge management and learning organization Methodologies, techniques and tools of business process modeling, analysis and design Techniques of moving from one-shot business process re-engineering to continuous improvement Best practices in BPM Performance management Tools and techniques of change management BPM case studies.
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