How information and communication technology affects decision-making on innovation diffusion: An agent-based modelling approach

Q1 Economics, Econometrics and Finance Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-06-26 DOI:10.1002/isaf.1430

Carlos M. Fernández-Márquez, Francisco J. Vázquez

引用次数: 10

Abstract

We introduce a computational agent-based model of innovation diffusion that allows us to analyse the influence of information and communication technology (ICT) development on decision-making. Model dynamics are based on local emulation between pairs of individuals that generate an evolving social network on which an innovation is virally spread (by word of mouth). Results suggest that ICT development affects the data usefulness for decision-making by changing the topology of the social network (the means whereby the innovation is propagated). Paradoxically, a higher level of ICT development (providing a larger volume of data) narrows the differences between better and worse launch strategies, thus reducing data-driven decision-making usefulness, which then shows diminishing returns on the ICT level.

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信息和通信技术如何影响创新扩散决策:基于主体的建模方法

我们引入了一个基于计算主体的创新扩散模型，使我们能够分析信息和通信技术(ICT)发展对决策的影响。模型动力学是基于个体对之间的局部模拟，产生一个不断发展的社会网络，在这个网络上，创新被病毒式传播(通过口口相传)。结果表明，信息通信技术的发展通过改变社会网络的拓扑结构(创新传播的手段)来影响决策的数据有用性。矛盾的是，更高水平的ICT发展(提供更大的数据量)缩小了更好和更差的发射策略之间的差异，从而降低了数据驱动的决策有用性，从而显示出ICT层面的收益递减。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Intelligent Systems in Accounting, Finance and Management Economics, Econometrics and Finance-Finance

CiteScore

6.00

自引率

0.00%

发文量

期刊介绍： Intelligent Systems in Accounting, Finance and Management is a quarterly international journal which publishes original, high quality material dealing with all aspects of intelligent systems as they relate to the fields of accounting, economics, finance, marketing and management. In addition, the journal also is concerned with related emerging technologies, including big data, business intelligence, social media and other technologies. It encourages the development of novel technologies, and the embedding of new and existing technologies into applications of real, practical value. Therefore, implementation issues are of as much concern as development issues. The journal is designed to appeal to academics in the intelligent systems, emerging technologies and business fields, as well as to advanced practitioners who wish to improve the effectiveness, efficiency, or economy of their working practices. A special feature of the journal is the use of two groups of reviewers, those who specialize in intelligent systems work, and also those who specialize in applications areas. Reviewers are asked to address issues of originality and actual or potential impact on research, teaching, or practice in the accounting, finance, or management fields. Authors working on conceptual developments or on laboratory-based explorations of data sets therefore need to address the issue of potential impact at some level in submissions to the journal.

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