In a competitive telecommunication market where price differentials have been minimized, quality of service (QoS) has become very important. Speech quality is a major dimension of perceived QoS, and the ability to monitor and design for this quality is a top priority. Traditionally, the perceived quality of speech has been measured by expensive and time-consuming subjective listening tests. Ove...

GIS professionals seem to assume that better data leads to better decisions. Is this true? An analysis to determine the effects of data quality on the quality of decisions reveals relations that are useful to consider before blindly investing in data quality improvement. This article analyzes data quality and how it influences the quality of a decision with an example of environmental engineeri...

Many information quality initiatives and projects need to demonstrate the potential benefits of their IQrelated activities already in their planning stage. In doing so, practitioners rely on cost estimates based on current non-quality data effects (that are then compared to data quality improvement costs). In producing such estimates on costs caused by low quality data, it is difficult to ident...

By providing the technological infrastructure, small and medium-sized companies are trying to use technology to provide customer satisfaction and gain profit more. In this context, this study examines the role of website quality among small and medium enterprises. In this study, a content analysis of over 35 international studies, 27 of the key variables were identified in five main categories....

The value of management decisions, the security of our nation, and the very foundations of our business integrity are all dependent on the quality of data and information. However, the quality of the data and information is dependent on how that data or information will be used. This paper proposes a theory of data quality based on the five principles defined by J. M. Juran for product and serv...

Presented is the Combined Conceptual Life Cycle (CCLC) Model of Information Quality (IQ). The CCLC conceptualises information/data quality as being a highly relative construct, best understood in terms of sixteen IQ dimensions housed within four broad IQ categories: namely; Intrinsic IQ, Representational IQ, Interactional IQ, and Contextual IQ. The four categories themselves are seen as falling...

Awareness of data and information quality issues has grown rapidly in light of the critical role played by the quality of information in our data-intensive, knowledge-based economy. Research in the past two decades has produced a large body of data quality knowledge and has expanded our ability to solve many data and information quality problems. We present an overview of the evolution and curr...

Data quality is commonly defined as fitness for use. The problem of identifying the quality of data is faced by many data consumers. To make the task of finding good quality datasets more efficient, we introduce the Dataset Quality Ontology (daQ). The daQ is a lightweight, extensible vocabulary for attaching the results of quality benchmarking of a linked open dataset to that dataset. We discus...

The significant and sustained growth in services worldwide prompts IS researchers to give special attention to service and service concepts as core aspects of the IS field. This study proposes that ‘viewing systems as services’ is critical to extend the focus of technology-business alignment in service science research. The study evaluates the influence of mHealth service quality on satisfactio...