The Role of Business Processes in Influencing the Decision Support Capabilities of Enterprise Content Management System (ECMS): Towards a Framework

Abstract

Facing an unprecedented explosion of digital content, many organisations have been left with a large repository of unstructured information. Huge volumes of electronic content have been captured and stored within organisations' repositories, depriving organisations of the ability to analyse this data properly. As a result, many organisations are facing crucial problems, such as (1) employees wasting 30% of their time looking for relevant information; (2) operational and maintenance cost increases to handle large amounts of data; and (3) loss of opportunities to gain a strategic advantage through proper analysis of organisational data. To overcome these problems, the Enterprise Content Management System (ECMS) was introduced in the early 2000s. Having been researched for a period of 25 years, most prior studies on ECMS focus on a bottom-up approach with the intention of achieving immediate benefits such as cost-reduction, meaningful knowledge work and re-use of previous content. A top-down approach that aims to improve decision-making, resource allocation and competitive intelligence are ignored due to a lack of awareness about the importance of such benefits. Therefore, this research will explore the relationship between ECMS and how it can facilitate decision-making processes. Grounded on previous literature, the contributions of this paper are as follows: first, the paper provides insight into the research from the perspective of ECMS; second, the paper proposes a research model for further exploration of the topic; finally, implications and future directions for research is outlined.

Analyzing the Effectiveness of Corporate Management Decision Making Using Information Entropy and Information Gain Ratio

“…With the help of the "most ideal solution" and "least ideal solution" of the problem, it can sort and optimize the attribute values of the indicators to select the optimal performance. With the help of "the most ideal solution" and "the least ideal solution" of the problem, the attribute values of the indexes are sorted and optimized, which provides a more scientific basis for selecting optimal enterprise decision-making [9][10].…”