Archives For Information quality

BIS success

Thursday, December 20, 2012

There is a new publication available on the topic of business intelligence systems success, co-authored with R. Hackney, P. S. Coelho, and J. Jaklič (2012): Towards business intelligence systems success: Effects of maturity and culture on analytical decision making. It is an important step in better understanding business intelligence systems success determinants and their interrelations. Here is the abstract:

The information systems (IS) literature has long emphasized the positive impact of information provided by business intelligence systems (BIS) on decision-making, particularly when organizations operate in highly competitive environments. Evaluating the effectiveness of BIS is vital to our understanding of the value and efficacy of management actions and investments. Yet, while IS success has been well-researched, our understanding of how BIS dimensions are interrelated and how they affect BIS use is limited. In response, we conduct a quantitative survey-based study to examine the relationships between maturity, information quality, analytical decision-making culture, and the use of information for decision-making as significant elements of the success of BIS. Statistical analysis of data collected from 181 medium and large organizations is combined with the use of descriptive statistics and structural equation modeling. Empirical results link BIS maturity to two segments of information quality, namely content and access quality. We therefore propose a model that contributes to understanding of the interrelationships between BIS success dimensions. Specifically, we find that BIS maturity has a stronger impact on information access quality. In addition, only information content quality is relevant for the use of information while the impact of the information access quality is non-significant. We find that an analytical decision-making culture necessarily improves the use of information but it may suppress the direct impact of the quality of the information content.

Information quality in transport operations

Wednesday, September 5, 2012

A study exploring changes in transport operations due to use of the quality information, co-authored with A. Habjan, was published in September 2012 issue of Industrial Management & Data Systems. The work titled Exploring the effects of information quality change in road transport operations sheds light – through an exploratory comparative case study of three transport firms – how information quality improvements stimulate organizational benefits in road transport operations. Abstract:

The information system (IS) literature has previously emphasized the positive contribution of IT-enabled quality information on decision making and firm performance, particularly when firms operate in highly competitive and uncertain settings. Yet, our understanding of how such information potentially transforms transport operations and generates improvements in organizational performance is limited. In response, the authors conduct an exploratory comparative case study of three transport firms that have introduced the global positioning system (GPS) in their operations. The purpose of this paper is to focus on assessing changes in transport operations due to the use of the quality information GPS provides and the link between these changes and organizational benefits. Data were collected through semi-structured interviews, direct observations and archival documentation in the three transport firms. Applying methods of a comparative case study, the data were analyzed by employing iterative and inductive analyses. The results identify transport operations as the missing element in a more comprehensive explanation of previously hypothesized relationships between information quality improvements and organizational benefits in road transportation. Notably, it was found that different information quality affects transport operations in various ways. In addition, improved transport operations, namely transport service planning, vehicle routing and transport control, result in improved customer service, enhanced transport asset utilization, reduced transport costs and time, and in increased satisfaction of employees working within the transport process. The paper offers a series of propositions that aims to stimulate empirical research and theoretical thinking on this topical subject. The findings offer valuable insights to transport firms, while providing and improving information quality for transport service planning, vehicle routing and transport control that results in organizational benefits linked to customer service, transport asset utilization, costs, and employee satisfaction. For information to have practical value, firms must use it in those transport operations identified as adding value to the firms’ performance.

A study exploring business intelligence maturity that transcends technical aspects of business intelligence, co-authored with T. Lukman, R. Hackney, J. Jaklič, and Z. Irani was published in Special Issue of Information Systems Management journal. The work titled Business Intelligence Maturity: The Economic Transitional Context Within Slovenia tries to elucidate directions for future business intelligence development in firms within transition economy environment. Abstract:

This article proposes a new maturity model with three related dimensions (technological, information quality, and business) and provide its empirical analysis within Slovenian organizations. With the use of K-means clustering, the naturally present maturity groups are identified. This article is an attempt to establish clear directions for further business intelligence development in transition economy settings. The findings hold important implications for commercial enterprise success.