不同类型的知识密集型商业服务对创新和绩效的影响

IF 12.9 1区 管理学 Q1 BUSINESS
Marlene Mendoza , Luis M. Molina , M. Teresa Ortega-Egea
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引用次数: 0

摘要

近年来,企业越来越多地使用知识密集型商业服务(KIBS)提供的知识服务,但有关这些服务对客户结果影响的证据却喜忧参半。为了解释这些参差不齐的研究结果,本研究提出了两种解释:知识整合能力(KIC)的中介作用和不同类型 KIBS 的不同影响。KIBS 可以分为不同类型:专业型(P-KIBS)、研发型(R&D-KIBS)以及信息和通信技术型(ICT-KIBS)。为了检验研究模型的假设,使用 PLS-SEM 软件收集了一个发展中国家(厄瓜多尔)368 家企业的数据。结果表明,使用 KIBS 对客户绩效的影响是一种比先验预期更为复杂的关系,因为它取决于多个因素。首先,P-KIBS 对客户绩效的影响是以客户企业的知识整合能力为中介的。其次,研发-知识创新支持系统对创新绩效的影响是直接的,但不影响总体绩效。第三,结果表明 ICT-KIBS 对客户绩效没有显著影响。对这些结果的分析表明,有必要开展进一步研究,以了解这种关系背后的复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of different types of knowledge intensive business services on innovation and performance
In recent years, firms have increasingly used knowledge services provided by knowledge-intensive business services (KIBS), but evidence on their impact on customer outcomes is mixed. To explain these mixed findings, this research proposes two explanations: The mediating role of knowledge integration capability (KIC) and the differential impact of different types of KIBS. KIBS can be of different types: professional (P-KIBS), research and development (R&D-KIBS) and information and communication technology (ICT-KIBS). To test the hypotheses of the research model, data from 368 firms in a developing country (Ecuador) were collected using PLS-SEM software. The results show that the effect of KIBS use on customer performance is a more complex relationship than might be expected a priori, as it depends on several factors. First, the effect of P-KIBS on customer performance is mediated by the knowledge integration capability of the customer firm. Second, the effect of R&D-KIBS on innovation performance is direct but does not affect overall performance. Third, the results indicate that ICT-KIBS do not have a significant effect on customer performance. The analysis of these results indicates the need for further studies to understand the complexity underlying this relationship.
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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