The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Information Quality Assessment for Asset Management Systems
Abstract
Information quality is critical for any business. It is particularly important for mission critical information systems that manage the lifecycle of an engineering asset. Quality of information or lack thereof in these systems can be traced to technical, organisation, as well as human sources. It is, therefore, extremely important to ascertain the causes that contribute to lack of information quality in asset lifecycle management systems. Depending upon the business area, organisations take proactive or reactive approach to establishing, maintaining, and enhancing their information quality. Among proactive approaches, the ability of the organisation to measure information quality dimensions forms the foundation of a solid information quality management initiative. Such a measurement, however, is an intricate task because these dimensions are subjective, can be context dependent as well as independent, and are interdependent, since each dimension impacts other dimensions. This research employs productive perspective to information and applies Six-Sigma methodology to assess its quality in information systems utilised to manage engineering asset lifecycle. It utilises analytical hierarchy process and quality function deployment to convert subjective information quality dimension into objective metrics, assesses the relationship between various information quality dimensions, and ascertains critical to quality factors. The results thus obtained form the basis for monitoring of information quality aimed at its continuous improvement. This study contributes to literature and practice by providing a method for assessing correlation of information quality dimensions, applying six sigma to information, and controlling quality of information.
Related Content
|
Yu Bin, Xiao Zeyu, Dai Yinglong.
© 2024.
34 pages.
|
|
Liyin Wang, Yuting Cheng, Xueqing Fan, Anna Wang, Hansen Zhao.
© 2024.
21 pages.
|
|
Tao Zhang, Zaifa Xue, Zesheng Huo.
© 2024.
32 pages.
|
|
Dharmesh Dhabliya, Vivek Veeraiah, Sukhvinder Singh Dari, Jambi Ratna Raja Kumar, Ritika Dhabliya, Sabyasachi Pramanik, Ankur Gupta.
© 2024.
22 pages.
|
|
Yi Xu.
© 2024.
37 pages.
|
|
Chunmao Jiang.
© 2024.
22 pages.
|
|
Hatice Kübra Özensel, Burak Efe.
© 2024.
23 pages.
|
|
|