{"title":"微型、小型和中型企业(MSMEs)的商业智能和分析(BIA)实践阶段","authors":"Thinh Gia Hoang, Minh Le Bui","doi":"10.1108/jeim-01-2022-0037","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>While business intelligence and analytic (BIA) systems have been developed by large corporations around the world, micro-, small- and medium-sized enterprises (MSMEs) have recently paid attention and deployed BIA adoption, particularly during the Covid-19 pandemic disruption. This study sheds light on how MSMEs adopt the BIA systems and then proposes a framework for the BIA adoption process in the context of MSMEs.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>The multiple case research design and interpretivism approach are employed for expanding the theoretical boundary of the strategic management fields in BIA adoption by MSMEs. In total, 35 semi-structured interviews were conducted with senior managers and owners involved in BIA adoption from 17 participating MSMEs.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The research study identifies three BIA adoption stages with specific technical and managerial features in the path of BIA adoption in each stage, corresponding to the level of BIA maturity of MSMEs. The authors also highlight other factors that directly influence the successful adoption and transformation from each stage to another.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>The research study identifies three BIA adoption stages with specific technical and managerial features in the path of BIA adoption at each stage that corresponds to the level of BIA maturity of MSMEs. Besides, this study also extends the current literature on BIA adoption in an organisation during the Covid-19 pandemic by identifying several contextual barriers that directly influence the BIA adoption.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>Research findings can help business leaders and owners of MSMEs to determine the BIA maturity of their organisation. Furthermore, the authors’ framework can also be used by consultancies and standard setters to develop detailed BIA adoption strategies and tactics that support MSMEs' digitalisation towards BIA adoption.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>The research study’s results highlight that contextual factors, leadership competencies, motivations and barriers for BIA adoption can also be used to help MSMEs' leaders and owners to trigger, advance or eliminate challenges for the adoption of BIA initiatives in MSMEs.</p><!--/ Abstract__block -->","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"15 9","pages":""},"PeriodicalIF":7.4000,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Business intelligence and analytic (BIA) stage-of-practice in micro-, small- and medium-sized enterprises (MSMEs)\",\"authors\":\"Thinh Gia Hoang, Minh Le Bui\",\"doi\":\"10.1108/jeim-01-2022-0037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>While business intelligence and analytic (BIA) systems have been developed by large corporations around the world, micro-, small- and medium-sized enterprises (MSMEs) have recently paid attention and deployed BIA adoption, particularly during the Covid-19 pandemic disruption. This study sheds light on how MSMEs adopt the BIA systems and then proposes a framework for the BIA adoption process in the context of MSMEs.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>The multiple case research design and interpretivism approach are employed for expanding the theoretical boundary of the strategic management fields in BIA adoption by MSMEs. In total, 35 semi-structured interviews were conducted with senior managers and owners involved in BIA adoption from 17 participating MSMEs.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>The research study identifies three BIA adoption stages with specific technical and managerial features in the path of BIA adoption in each stage, corresponding to the level of BIA maturity of MSMEs. The authors also highlight other factors that directly influence the successful adoption and transformation from each stage to another.</p><!--/ Abstract__block -->\\n<h3>Research limitations/implications</h3>\\n<p>The research study identifies three BIA adoption stages with specific technical and managerial features in the path of BIA adoption at each stage that corresponds to the level of BIA maturity of MSMEs. Besides, this study also extends the current literature on BIA adoption in an organisation during the Covid-19 pandemic by identifying several contextual barriers that directly influence the BIA adoption.</p><!--/ Abstract__block -->\\n<h3>Practical implications</h3>\\n<p>Research findings can help business leaders and owners of MSMEs to determine the BIA maturity of their organisation. Furthermore, the authors’ framework can also be used by consultancies and standard setters to develop detailed BIA adoption strategies and tactics that support MSMEs' digitalisation towards BIA adoption.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>The research study’s results highlight that contextual factors, leadership competencies, motivations and barriers for BIA adoption can also be used to help MSMEs' leaders and owners to trigger, advance or eliminate challenges for the adoption of BIA initiatives in MSMEs.</p><!--/ Abstract__block -->\",\"PeriodicalId\":47889,\"journal\":{\"name\":\"Journal of Enterprise Information Management\",\"volume\":\"15 9\",\"pages\":\"\"},\"PeriodicalIF\":7.4000,\"publicationDate\":\"2023-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Enterprise Information Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1108/jeim-01-2022-0037\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Enterprise Information Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/jeim-01-2022-0037","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Business intelligence and analytic (BIA) stage-of-practice in micro-, small- and medium-sized enterprises (MSMEs)
Purpose
While business intelligence and analytic (BIA) systems have been developed by large corporations around the world, micro-, small- and medium-sized enterprises (MSMEs) have recently paid attention and deployed BIA adoption, particularly during the Covid-19 pandemic disruption. This study sheds light on how MSMEs adopt the BIA systems and then proposes a framework for the BIA adoption process in the context of MSMEs.
Design/methodology/approach
The multiple case research design and interpretivism approach are employed for expanding the theoretical boundary of the strategic management fields in BIA adoption by MSMEs. In total, 35 semi-structured interviews were conducted with senior managers and owners involved in BIA adoption from 17 participating MSMEs.
Findings
The research study identifies three BIA adoption stages with specific technical and managerial features in the path of BIA adoption in each stage, corresponding to the level of BIA maturity of MSMEs. The authors also highlight other factors that directly influence the successful adoption and transformation from each stage to another.
Research limitations/implications
The research study identifies three BIA adoption stages with specific technical and managerial features in the path of BIA adoption at each stage that corresponds to the level of BIA maturity of MSMEs. Besides, this study also extends the current literature on BIA adoption in an organisation during the Covid-19 pandemic by identifying several contextual barriers that directly influence the BIA adoption.
Practical implications
Research findings can help business leaders and owners of MSMEs to determine the BIA maturity of their organisation. Furthermore, the authors’ framework can also be used by consultancies and standard setters to develop detailed BIA adoption strategies and tactics that support MSMEs' digitalisation towards BIA adoption.
Originality/value
The research study’s results highlight that contextual factors, leadership competencies, motivations and barriers for BIA adoption can also be used to help MSMEs' leaders and owners to trigger, advance or eliminate challenges for the adoption of BIA initiatives in MSMEs.
期刊介绍:
The Journal of Enterprise Information Management (JEIM) is a significant contributor to the normative literature, offering both conceptual and practical insights supported by innovative discoveries that enrich the existing body of knowledge.
Within its pages, JEIM presents research findings sourced from globally renowned experts. These contributions encompass scholarly examinations of cutting-edge theories and practices originating from leading research institutions. Additionally, the journal features inputs from senior business executives and consultants, who share their insights gleaned from specific enterprise case studies. Through these reports, readers benefit from a comparative analysis of different environmental contexts, facilitating valuable learning experiences.
JEIM's distinctive blend of theoretical analysis and practical application fosters comprehensive discussions on commercial discoveries. This approach enhances the audience's comprehension of contemporary, applied, and rigorous information management practices, which extend across entire enterprises and their intricate supply chains.