Jinfang Tian, Xiaofan Meng, Lee Li, Wei Cao, Rui Xue
{"title":"Competitive pressure from peers, firm sizes and firms' risk-taking behaviours: machine learning evidence","authors":"Jinfang Tian, Xiaofan Meng, Lee Li, Wei Cao, Rui Xue","doi":"10.1108/jal-11-2023-0202","DOIUrl":null,"url":null,"abstract":"PurposeThis study aims to investigate how firms of different sizes respond to competitive pressure from peers.Design/methodology/approachThis study employs machine learning techniques to measure competitive pressure based on management discussion and analysis (MD&A) documents and then utilises the constructed pressure indicator to explore the relationship between competitive pressure and corporate risk-taking behaviours amongst firms of different sizes.FindingsWe find that firm sizes are positively associated with their risk-taking behaviours when firms respond to competitive pressure. Large firms are inclined to exhibit a high level of risk-taking behaviours, whereas small firms tend to make conservative decisions. Regional growth potential and institutional ownership moderate the relationships.Originality/valueUtilising text mining techniques, this study constructs a novel quantitative indicator to measure competitive pressure perceived by focal firms and demonstrates the heterogeneous behaviour of firms of different sizes in response to competitive pressure from peers, advancing research on competitive market pressures.","PeriodicalId":45666,"journal":{"name":"Journal of Accounting Literature","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Accounting Literature","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jal-11-2023-0202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
PurposeThis study aims to investigate how firms of different sizes respond to competitive pressure from peers.Design/methodology/approachThis study employs machine learning techniques to measure competitive pressure based on management discussion and analysis (MD&A) documents and then utilises the constructed pressure indicator to explore the relationship between competitive pressure and corporate risk-taking behaviours amongst firms of different sizes.FindingsWe find that firm sizes are positively associated with their risk-taking behaviours when firms respond to competitive pressure. Large firms are inclined to exhibit a high level of risk-taking behaviours, whereas small firms tend to make conservative decisions. Regional growth potential and institutional ownership moderate the relationships.Originality/valueUtilising text mining techniques, this study constructs a novel quantitative indicator to measure competitive pressure perceived by focal firms and demonstrates the heterogeneous behaviour of firms of different sizes in response to competitive pressure from peers, advancing research on competitive market pressures.
期刊介绍:
The objective of the Journal is to publish papers that make a fundamental and substantial contribution to the understanding of accounting phenomena. To this end, the Journal intends to publish papers that (1) synthesize an area of research in a concise and rigorous manner to assist academics and others to gain knowledge and appreciation of diverse research areas or (2) present high quality, multi-method, original research on a broad range of topics relevant to accounting, auditing and taxation. Topical coverage is broad and inclusive covering virtually all aspects of accounting. Consistent with the historical mission of the Journal, it is expected that the lead article of each issue will be a synthesis article on an important research topic. Other manuscripts to be included in a given issue will be a mix of synthesis and original research papers. In addition to traditional research topics and methods, we actively solicit manuscripts of the including, but not limited to, the following: • meta-analyses • field studies • critiques of papers published in other journals • emerging developments in accounting theory • commentaries on current issues • innovative experimental research with strong grounding in cognitive, social or anthropological sciences • creative archival analyses using non-standard methodologies or data sources with strong grounding in various social sciences • book reviews • "idea" papers that don''t fit into other established categories.