Moderating role of big data usage in intellectual capital and innovation performance: evidence from Turkish banking sector

IF 6.2 2区 管理学 Q1 BUSINESS Journal of Intellectual Capital Pub Date : 2024-07-25 DOI:10.1108/jic-10-2023-0247
Abdulmuttalip Pilatin
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Abstract

PurposeIn this study, the moderator effect of the use of big data by Turkish banks on the innovation performance of the intellectual capital components, human capital, structural capital, and relational capital is discussed.Design/methodology/approachIn the research, 618 survey data applied to bank employees and weighted according to population in seven regions were used. The data were analyzed through the structural equation model.FindingsAccording to the empirical results, intellectual capital components and big data usage explain 65% of the variance in innovation performance. It has been determined that the other two components of intellectual capital, except structural capital, have a statistically significant effect on innovation performance. According to the Standardized Regression Weights, one unit change in human capital affects innovation performance by 0.162, and one unit change in relational capital affects innovation performance by 0.244. In addition, a one-unit change in big data usage affects innovation performance by 0.480. It has been understood that the use of big data significantly affects the innovation performance of banks with a rate of 0.480.Research limitations/implicationsAlthough this study is important, it could have been done with senior managers instead of being based on a survey. Instead of a survey, it could have been done with a data set taken from banks' balance sheets and tables. Additionally, the use of big data has been considered as a moderator but can be reconsidered as a mediator or external construct. Moreover, this study was conducted on a sample of participants working in the developing Turkish commercial banking sector. Therefore, the results of the study can be done in different countries and at different development levels.Originality/valueThe study is one of the first studies to examine the moderating effect of intellectual capital by considering its subcomponents in a developing country. In addition, it is thought that the results will contribute to managers, policy makers and researchers who want to increase competition and market share in the sector, as well as filling the gap in the literature.
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大数据使用对智力资本和创新绩效的调节作用:来自土耳其银行业的证据
目的在本研究中,讨论了土耳其银行使用大数据对知识资本组成部分、人力资本、结构资本和关系资本的创新绩效的调节效应。根据实证结果,智力资本成分和大数据使用解释了创新绩效 65% 的差异。除结构资本外,智力资本的其他两个组成部分对创新绩效也有显著影响。根据标准化回归权重,人力资本每变化一个单位,对创新绩效的影响为 0.162;关系资本每变化一个单位,对创新绩效的影响为 0.244。此外,大数据使用量每变化一个单位,对创新绩效的影响为 0.480。研究的局限性/启示虽然这项研究很重要,但它本可以通过高级管理人员来完成,而不是基于调查。本研究还可以使用银行资产负债表和表格中的数据集来代替调查。此外,大数据的使用被认为是一个调节因素,但也可以被重新考虑为一个中介因素或外部结构。此外,本研究以在土耳其发展中商业银行部门工作的参与者为样本。原创性/价值本研究是在发展中国家通过考虑智力资本的子要素来研究智力资本调节作用的首批研究之一。此外,我们认为研究结果将有助于管理者、政策制定者和希望提高该行业竞争和市场份额的研究人员,同时也填补了文献空白。
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来源期刊
CiteScore
14.50
自引率
13.30%
发文量
27
期刊介绍: The Journal of Intellectual Capital is a peer-reviewed international publication dedicated to the exchange of the latest research and best practice information on all aspects of creating, identifying, managing and measuring intellectual capital in organisations. The journal publishes original research and case studies by academic, business and public sector contributors on intellectual capital strategies, approaches, frameworks, tools, techniques and technologies in order to increase the understanding of intellectual capital within the context of the modern knowledge economy. The focus of this journal is on the identification of innovative intellectual capital strategies and the application of theoretical concepts to real-world situations.
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