{"title":"A case study in e‐business process reengineering readiness","authors":"O. Eljabiri, Davis Crowell, F. Deek","doi":"10.1108/13287260280000767","DOIUrl":null,"url":null,"abstract":"A field study was conducted to determine organizational readiness for implementing E‐business solutions by utilizing drivers suggested in the business process reengineering literature. Based on a literature review, we theorized a schematic framework to reflect the anticipated relationships between the independent variables of technology team capabilities, nature and scope of legacy business applications, high‐tech resources, value‐chain, management expertise, supply chain management and enterprise resource management, and the dependant variable of E‐Business readiness. A survey collection method comprised of a 29‐item questionnaire was used. The study was carried out with a sample population from employees in various departments of a large, multinational pharmaceutical company. Data analysis of project hypotheses showed that 47.7% of the variance of E‐Business readiness was explained by the five independent variables, and that management expertise had the most significant influence. Recommendations direct...","PeriodicalId":38615,"journal":{"name":"Journal of Systems and Information Technology","volume":"6 1","pages":"13-30"},"PeriodicalIF":0.0000,"publicationDate":"2002-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/13287260280000767","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/13287260280000767","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 2
Abstract
A field study was conducted to determine organizational readiness for implementing E‐business solutions by utilizing drivers suggested in the business process reengineering literature. Based on a literature review, we theorized a schematic framework to reflect the anticipated relationships between the independent variables of technology team capabilities, nature and scope of legacy business applications, high‐tech resources, value‐chain, management expertise, supply chain management and enterprise resource management, and the dependant variable of E‐Business readiness. A survey collection method comprised of a 29‐item questionnaire was used. The study was carried out with a sample population from employees in various departments of a large, multinational pharmaceutical company. Data analysis of project hypotheses showed that 47.7% of the variance of E‐Business readiness was explained by the five independent variables, and that management expertise had the most significant influence. Recommendations direct...
期刊介绍:
The Journal provides an avenue for scholarly work that researches systems thinking applications, information systems, electronic business, data analytics, information sciences, information management, business intelligence, and complex adaptive systems in the application domains of the business environment, health, the built environment, cultural settings, and the natural environment. Papers examine the wider implications of the systems or technology being researched. This means papers consider aspects such as social and organisational relevance, business value, cognitive implications, social implications, impact on individuals or community perspectives, and the development of solutions, rather than focusing solely on the technology. The Journal of Systems and Information Technology is open to a wide range of research methodologies and paper styles including case studies, surveys, experiments, review papers, design science, design thinking and both theoretical and methodological papers. The focus of the journal will be to publish work that fits into the following broad areas of research: Behavioural Information Systems and Human-Computer Interaction, Data Analytics, Data, Information and Security, E-Business, Intelligent Systems and Applications, Logistics and Supply Chain Management/Optimisation, Social Media Analysis, Technology Enhanced Learning.