Internet Technology Factors, Quality Information Delivery and Supply Chain Information Performance in Malaysian Manufacturing Companies

• Main Author: Ahmed, Abdullah Yahya Moqbel
• Format: Thesis
• Language: English; English
• Published: 2011
• Subjects: T58.5-58.64 Information technology
• Online Access: https://etd.uum.edu.my/2620/1/Abdullah_Yahya_Moqbel_Ahmed.pdf; https://etd.uum.edu.my/2620/2/1.Abdullah_Yahya_Moqbel_Ahmed.pdf; https://etd.uum.edu.my/2620/

Quality Information delivery (QID) is defined as a managerial behavior in storing and distributing material to get the right information to the right customer, and supplier, at the right time, at the right place, in the right condition, in the right quantity, and at the right cost. The main dimensions of infiormation quality delivery are developed from the behavior-based perspective such as timeliness, consistent representation and accessibility. In this manner QID refers to the success online information exchange in a timely, accessible and consistent fashion to both customers and suppliers. This study examined the relationship between information quality delivery and supply chain information performance (SCIP) among Malaysian munufacturing companies. This study also investigated the influence of Internet technology fuctors (ITF) on QID. Last but not least, this study also examined the mediating effect of QID on the relationship between antecedent factors und supply chain information performance. A total of 151 manufacturing companies are involved in this study by voluntarily completing the survey questionnaires. The study's results indicated that QID has a positive influence on supply chain information performance. Four major antecedent factors i.e. collective efficacy, supply chain-commitment, management support and perceived security were found to have significant influence on QID. Quality Information Delivery partially mediates the relationship between management support, supply chain-commitment, and supply chain information performance. This research ends with the suggestion for the industry, discusses the limitations of the study and gives some suggestions for future research.