{"title":"Integrated reporting and the epistemic authority of Big Data: An exploratory study from the banking industry","authors":"Alice Francesca Sproviero","doi":"10.3280/fr2020-002004","DOIUrl":null,"url":null,"abstract":"This paper aims at exploring how corporate members involved in integrated re-port (IR) preparation assess the reliability of Big Data as a new source of infor-mation. It investigates IR preparation within a company operating in the Italian banking industry that has adopted Big Data since 2015. Using the epistemic au-thority lens (Kruglanski et al., 2005), this study reveals how corporate members draw mainly on their professional background and the Big Data-related initiatives to define the extent to which Big Data contributes to IR preparation, with educa-tional background and corporate circumstances playing a less incisive part. Con-structing performance indicators, identifying prospective information to contrast criminal phenomena and lending support to relational sustainability all act as in-formational and motivational factors that lead members to rely on Big Data while preparing the IR. The paper contributes to the infant literature on Big Data in cor-porate reporting by offering early practical insights into how Big Data informs IR preparation. It also provides evidence of a necessary intertwining between ac-counting-based knowledge and training initiatives on advanced analytics to fully exploit Big Data in IR preparation.","PeriodicalId":42044,"journal":{"name":"Journal of Financial Reporting","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Financial Reporting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3280/fr2020-002004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 2
Abstract
This paper aims at exploring how corporate members involved in integrated re-port (IR) preparation assess the reliability of Big Data as a new source of infor-mation. It investigates IR preparation within a company operating in the Italian banking industry that has adopted Big Data since 2015. Using the epistemic au-thority lens (Kruglanski et al., 2005), this study reveals how corporate members draw mainly on their professional background and the Big Data-related initiatives to define the extent to which Big Data contributes to IR preparation, with educa-tional background and corporate circumstances playing a less incisive part. Con-structing performance indicators, identifying prospective information to contrast criminal phenomena and lending support to relational sustainability all act as in-formational and motivational factors that lead members to rely on Big Data while preparing the IR. The paper contributes to the infant literature on Big Data in cor-porate reporting by offering early practical insights into how Big Data informs IR preparation. It also provides evidence of a necessary intertwining between ac-counting-based knowledge and training initiatives on advanced analytics to fully exploit Big Data in IR preparation.
本文旨在探讨参与综合报告(IR)准备的企业成员如何评估大数据作为新信息来源的可靠性。它调查了一家在意大利银行业运营的公司的IR准备工作,该公司自2015年以来一直采用大数据。利用认知权威视角(Kruglanski et al., 2005),本研究揭示了企业成员如何主要利用其专业背景和与大数据相关的举措来定义大数据对IR准备的贡献程度,而教育背景和企业环境发挥的作用则不那么深刻。构建绩效指标,识别潜在信息以对比犯罪现象,并为关系可持续性提供支持,这些都是导致成员在准备IR时依赖大数据的信息和激励因素。本文通过提供关于大数据如何影响IR准备的早期实践见解,为企业报告中的大数据方面的初步文献做出了贡献。它还提供了基于会计核算的知识与高级分析培训计划之间必要的交织的证据,以充分利用大数据在IR准备中。