mailto:uumlib@uum.edu.my 24x7 Service; AnyTime; AnyWhere

Adoption of business intelligence - technological, individual and supply chain efficiency

Abdul Jalil, Nasir and Prapinit, Pichit and Melan, Mustakim and Mustaffa, Abaidullah (2019) Adoption of business intelligence - technological, individual and supply chain efficiency. In: International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI), 8-10 Nov. 2019, Taiyuan, China, China.

[thumbnail of MLBDBI 2019 67 73.pdf] PDF
Restricted to Registered users only

Download (189kB) | Request a copy

Abstract

Making strategic decisions in a vigorous business setting is a challenge encountered by many organizations nowadays. Today, information is gathered all over the place and is rapidly expanding. Organization required powerful application and systematic system that could run in real time, provide insightful tracking for supply chains, logistics and operations that closely related to applications for sales tracking, hourly, daily to monthly production, financial, and many other sources of business data for purposes that consist of business performance management. Business Intelligence has a critical role in terms of organizational development as Business Intelligence (BI) be able to provide a competitive advantage in the context of achieving positive information asymmetry, that is, unifying and making useful heterogeneous data. However, the impact of BI and the relative importance of its insight on business performance have not yet been investigated. For this study, data were collected from a survey questionnaire of IT managers in 162 multinational companies in Malaysia and analyzed using the partial least squares (PLS) with the SmartPLS software. This research recommends that although BI and its insight contribute to management practices, the information requirements are diverse according on the level of uncertainty versus ambiguity characteristic of the organizations practice.

Item Type: Conference or Workshop Item (Paper)
Additional Information: INSPEC Accession Number: 19246277
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: School of Technology Management & Logistics
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 10 Mar 2020 08:53
Last Modified: 10 Mar 2020 08:53
URI: https://repo.uum.edu.my/id/eprint/26891

Actions (login required)

View Item View Item