Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data

Claudio Vitari, E. Raguseo
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引用次数: 13

Abstract

Firms automatically and continuously capture a high amount of digital data through social media, RFID tags, clickstreams, smart meters, manufacturing sensors, equipment logs, and vehicle tracking systems. However, empirical evidence on the effects of the generation of these digital data on firm performance remains scarce in the Information Systems and Management literature. Therefore, from a dynamic capability perspective, this paper examines whether companies' ability to leverage digital data, which we call their Digital Data dynamic capability, leads to better financial performance, and whether there are moderating effects on this relationship. In order to achieve these goals, the following research questions are addressed: 1) To what extent do firms that develop Digital Data dynamic capabilities achieve better financial performance? 2) To what extent do organisational and industry-related environmental conditions moderate the relationship between a firm's Digital Data dynamic capability and financial performance? We empirically test our hypotheses through partial least square modelling using a financial database and a survey of sales managers from 125 firms. We find that the development of Digital Data dynamic capability provides value in terms of firm financial performance and that the moderating effects are influential: under high levels of dynamism and munificence in younger firms, the relationship is stronger. Overall, this study evaluates the potential business value of firm digital data use and addresses a lack of empirical evidence on this issue in the Information Systems literature. We discuss two managerial implications. First, managers should pay more attention to digital data phenomena and to ways of leveraging value creation opportunities. Second, managers must evaluate their environmental and organisational characteristics when business opportunities from digital data are taken into account.
数字数据、动态能力与财务绩效:大数据时代的实证研究
企业通过社交媒体、RFID标签、点击流、智能电表、制造传感器、设备日志和车辆跟踪系统自动持续地获取大量数字数据。然而,在信息系统和管理文献中,关于这些数字数据的产生对公司绩效的影响的经验证据仍然很少。因此,本文从动态能力的角度考察了企业利用数字数据的能力(我们称之为数字数据动态能力)是否会导致更好的财务绩效,以及这种关系是否存在调节作用。为了实现这些目标,解决了以下研究问题:1)开发数字数据动态能力的公司在多大程度上实现了更好的财务绩效?2)组织和行业相关的环境条件在多大程度上调节了企业数字数据动态能力和财务绩效之间的关系?我们利用金融数据库和对125家公司销售经理的调查,通过偏最小二乘模型对我们的假设进行了实证检验。我们发现,数字数据动态能力的发展在企业财务绩效方面提供了价值,并且调节效应是有影响的:在年轻企业的高活力和慷慨水平下,这种关系更强。总体而言,本研究评估了企业数字数据使用的潜在商业价值,并解决了信息系统文献中关于这一问题缺乏经验证据的问题。我们讨论两个管理含义。首先,管理者应该更加关注数字数据现象和利用价值创造机会的方法。其次,当考虑到数字数据带来的商业机会时,管理者必须评估他们的环境和组织特征。
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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