University in Washington, DC. Professor DeLone’s primary areas of research include the assessment of information systems effectiveness and value, the implementation and use of information technology in small and medium-sized businesses, and the global management of information technology. He has been published in various

Abstiuct-Organizational databases are pervaded with data of poor quality. However, there has not been an analysis of the data quality literature that provides an overall understanding of the state-of-art research in this area. Using an analogy between product manufacturing and data manufacturing, this paper de-velops a framework for analyzing data quality research, and uses it as the basis for organizing the data quality literature. This framework consists of seven elements: management responsibili-ties, operation and assurance costs, research and development, production, distribution, personnel management, and legal func-tion. The analysis reveals that most research efforts focus on op-eration and assurance costs, research and development, and pro-duction of data products. Unexplored research topics and unre-solved issues are identified and directions for future research provided. Index Terms-Data quality, data manufacturing, data product,

Elements of measurement theory have recently been introduced into the software engineering discipline. It has been suggested that these elements should serve as the basis for developing, reasoning about, and applying measures. For example, it has been suggested that software complexity measures should be additive, that measures fall into a number of distinct types (i.e., levels of measurement: nominal, ordinal, interval, and ratio), that certain statistical techniques are not appropriate for certain types of measures (e.g., parametric statistics for less-than-interval measures), and that certain transformations are not permissible for certain types of measures (e.g., non-linear transformations for interval measures). In this paper we argue that, inspite of the importance of measurement theory, and in the context of software engineering, many of these prescriptions and proscriptions are either premature or, if strictly applied, would represent a substantial hindrance to the progress of ...

The SPICE project aims to deliver an international standard for software process assessment by the end of 1996. As part of this project there is an empirical trials phase whose purpose is to ascertain the effectiveness of the prospective SPICE standard. Two of the objectives of the trials phase are: (a) to determine the extent to which SPICEconformant assessments are repeatable (i.e., reliability), and (b) to determine the extent to which SPICE-conformant assessments are really measuring best software process practices (i.e., validity). This paper introduces the theoretical foundations for evaluating the reliability and validity of measurement, suggests some empirical research methods for investigating them in SPICE, and discusses the constraints and limitations of these methods within the context of the SPICE project.

Central to understanding and improving requirements engineering processes is the ability to measure requirements engineering success. This paper describes a research study whose objective was to develop an instrument to measure the success of requirements engineering processes. The instrument developed consists of 32 indicators that cover the two most important dimensions of requirements engineering success. These two dimensions were identified during the study to be: quality of requirements engineering products and quality of requirements engineering service. Evidence is presented demonstrating that the instrument has desirable psychometric properties, such as high reliability and validity. 1 Introduction Existing claims [6][10] and empirical evidence [3][5][22] support the notion that an inadequately performed requirements engineering (henceforth RE) process is positively associated with software system failure. There would therefore be an economic as well as software quality payoff...

This article addresses the concern for effective web site design by means of the conceptualization and empirical validation of a web site user satisfaction construct. Based on IS success theory, hypermedia design theory, a qualitative exploratory pilot study, and a quantitative online critical incident technique, we introduce and define the construct of web site user satisfaction, explore its dimensionality, provide empirical validation of the construct and its underlying dimensionality, develop a standardized instrument with desirable psychometric properties for measuring WUS, and explore the measure's theoretical and practical application.

MIS literature has not addressed the measurement of customer information satisfaction in electronic commerce. Current models for measuring user information satisfaction (UIS) and end-user computing satisfaction (EUCS) are perceived as inapplicable as they are targeted primarily towards either conventional data processing or the end-user computing environment. This study develops a comprehensive model and instrument for measuring customer information satisfaction (CIS) for web sites that market digital products and services. This paper first discusses the concepts and definitions of customer information satisfaction from the literature. We summarize our findings in a theoretical framework. Based on this framework, we develop a measurement instrument to measure customer information satisfaction. The procedures used in generating items, collecting data, and purifying a multiple-item scale are described. We have carefully examined evidences of reliability, content validity, criterion-related validity, convergent validity, discriminant validity, and nomological validity by analyzing data from a quota sample of 520 adult respondents. The norms of the instrument are then developed, and the potential applications for practitioners and researchers are explored. Finally, we conclude this study by discussing limitations and potential future research. We hope that our CIS instrument can be used by other researchers to develop and test Internet marketing and EC theories in the future.

Consistent with the conceptualizations of participation and involvement in psychology, organizational behavior, consumer behavior, and other disciplines, this paper redefines the participation construct to distinguish its. behavioral and psychological dimensions. "User participation " is defined as the observable behavior of information system users in the information system development process; "user involvement " as a need-based attitude orpsychological state of users with regard to that process and to the resultant information system; and "user engagement " as the set of user behaviors and attitudes toward information systems and their development. A field study was conducted in a $40 billion interstate bank during the installation and conversion of an information system. A questionnaire was developed, pre-tested, and validated for internal consistency, temporal stabfity, factorial validity, and multicollinearity. Path analysis was used for theory testing (i.e., model comparison). There was strong empirical evidence to support: (1) that user involvement is something distinct from, although associated wit4 user participation; (2) that this psychological state of user involvement may be more important than user participation in understanding information system success; (3) that the behavioral-attitudinal theory of information system success @e., that participation "causes " involvement which mediates the participation-success relationship) is superior to the behavioral theory (i.e., participation "causes " success); and (4) that user engagement during the installation phase is strongly associated with user satisfaction. 1.

aire for User Interaction Satisfaction (QUIS) The QUIS focuses on the user's perception of interface usability by as it is expressed in specific aspects of the interface (i.e., overall reaction to the system, screen factors, terminology and system feedback, learning factors, system capabilities) .Each of the specific interface factors and optional sections has a main component question followed by related sub-component questions. Each item is rated on a scale from 1 to 9 with positive adjectives anchoring the right end and negative anchoring the left. In addition, "not applicable" is listed as a choice. Additional space which allows the rater to make comments is also included within the questionnaire. The comment space is headed by a statement that prompts the rater to comment on each of the specific interface factors. The currently used version (5.5) has been proven reliable and valid when applied to many interface styles (Chin, Diehl, and Norman, 1988). Though the QUIS 5.5 i

Advances in new information technology and the drastic growth of the Internet over the past decade have considerably changed the end-user computing environment. Therefore, it is appropriate to review the measures of user satisfaction with information systems technology, especially in a web-based environment, which accounts for a major component of the end-user computing environment. The objective of this research was to develop and validate an instrument for measuring user satisfaction in a web-based environment. Doll and Torkzadeh (1988) developed an instrument that measured user satisfaction with information systems. This research tested the validity and reliability of the End-user Computing Satisfaction (EUCS) instrument on users of Internet portals. We found that a revised instrument with some changes to the EUCS instrument is still valid in measuring user satisfaction.