Discretionary Use of Computers: An Empirically Derived Explanatory Model*

This study identifies variables that explain variations in computer use. Factor analysis of data gathered from 422 business administration faculty reveal eight themes among the independent variables. Seven of these factors significantly discriminate among non, minimal, and high users. These results suggest an empirical model for future studies and provide policy insights for decision makers seeking to stimulate computer usage. Additionally, the study shows that there is much commonality between the previously separate organizational innovation and information systems implementation streams. It also demonstrates that motivation theory may be a valid framework within which to study computer use.     

ERRATA CORRIGE: “ARE MUSLIM IMMIGRANTS DIFFERENT IN TERMS OF CULTURAL INTEGRATION?”

We are thankful to Michael Lundholm and Mahmood Arai for pointing us towards a coding error which invalidates the regressions in our paper. Correcting the code leads to a decrease in sample sizes, though much smaller than Arai et al. (2011) claim based on their “replication”. An appropriate redefinition of the variables and of the model specification allows us to reproduce the substance of the empirical analysis in our original published paper. Although the results are now less clear‐cut, our analysis remains essentially unchanged.     

Planning Implications of the Information Systems Strategic Grid: An Empirical Investigation

In recent years, information systems (IS) planning has come to represent a key IS management tool to practitioners and researchers. Concurrently, there has been increasing recognition by organizations that their IS can be viewed as a strategic resource. This research is an attempt to explore the relationship between these two aspects of IS. It analyzes, in an empirical setting, the contingent nature of some IS planning-related variables in the context of the strategic relevance of an organization's IS. The basis for the empirical test is the IS strategic grid framework developed by Cash, McFarlan, McKenney, and Vitale [6]. A questionnaire survey method is employed to elicit information on the strategic orientation of IS and IS planning issues within respondent organizations. The difference in emphasis on various planning aspects in organizations with different IS environments is analyzed. Results of the analysis indicate that there is empirical support for the strategic grid framework and that there are differences in planning aspects among organizations, depending on their location in the grid. The implications of these findings for IS and IS planning are then discussed.     

A Comprehensive Model for Measuring the Potential Impact of Information Technology on Organizational Strategic Variables*

The existing literature on the impact of information technology (IT) does not include rigorous theory building or empirical studies. This research seems to be the first comprehensive investigation towards the development of an empirically validated comprehensive model for understanding the potential impact of IT on organizational strategic variables. More specifically, organizational and industrial variables that appeared to be affected by IT are identified, measured, and operationalized in the form of a comprehensive model. This study is based on structured interviews with a carefully selected sample of 31 strategic managers who had experience using IT for strategic decisions. In addition, the variables included in the model are well grounded in the information systems literature. The variables are then empirically validated and their reliabilities critically tested. A comprehensive model is derived from these validated variables. The model is a first step towards measuring the overall potential impact of IT on an organization. The model can also be used to gauge IT's potential impact on individual strategic variables. A set of hypotheses is also presented for future research. The hypotheses primarily relate to the impact of IT on organizational strategic performance. The model provides an empirically validated foundation for testing of such hypotheses.     

Integrating the Content and Process of Strategic MIS Planning with Competitive Strategy*

This paper presents a framework that links strategic MIS planning and business strategy and relates it to competitive advantage and company performance. To achieve this objective, the paper first delineates the dimensions of strategic MIS planning, focusing on both content and process issues. The notion of fit within dimensions, between sets of dimensions (process and content), and between MIS planning and competitive strategy is also introduced. Next, employing the Miles-Snow typology of business strategy, the paper posits normative differences in the dimensions of strategic MIS planning along different business (or competitive) strategies. The implications of our study for both decision makers and scholars are discussed. Propositions that tie competitive strategy, strategic MIS planning, and company financial performance are then presented. The paper concludes by providing direction for future research.     

Organizing for Global Competition

Global information technology (i.e., computer hardware, software, and data communications shared across country boundaries) can support the multinational firm as it seeks to coordinate global operations, diffuse innovations worldwide, or provide integrated service to a global corporate customer. The current study uses information processing theory as the basis for examining alternative organizational designs for information technology in a globally competing firm. Mail survey data gathered from information technology managers in 109 multinationals provide evidence that multinational firms use different and distinct ways of organizing their global information technology activities. The survey data also reveal that in nearly half of the organizations, the way information technology activities are organized is inconsistent with the way the organization is reportedly structured. A follow-up interview-based study sought explanations for these misfits. Several contingency variables were identified that may shed some light to the misfits. These included factors from both the firm's internal and external environments.     

Toward Development of the End User Computing Construct in a University Setting*

The authors identify and define the end user computing (EUC) construct and operationalize the construct through development of a valid, reliable measure called the EUC activities scale. This scale is designed to distinguish specific, discrete computer activities performed on the job. The research analyzes the validity and reliability of the instrument based on data obtained from 776 university employees who participated in the initial, exploratory application. Exploratory factor analysis of the scale resulted in five factors. In order of increasing complexity of job-related computer activities, these factors are: beginning EUC activities, intermediate EUC activities, advanced EUC activities, EUC facilitation activities, and EUC infrastructure activities. The factor analysis, reliabilities, and known-groups analysis provide support for the construct validity of the instrument when used in a university setting. Suggestions are provided for further use of the scale in business environments to increase generalizability, refine the instrument, and help establish a coherent theoretical basis for further research in EUC.     

DESIGNING INSPECTION STRATEGIES FOR UNCERTAIN ENVIRONMENTS

This paper considers the problems of designing inspection strategies for production systems terms in the presence of environmental uncertainty. The framework for determining information priorities to support inspection system planning is presented in the contaxt of a generic production system that encompasses the characteristics of many real-world serial production systems. The impact on the design decision of five key variables is considered: quality of producton processes, quality of inspection procedures, penalty cost for undetected defective units, relative cost of improving process vs. inspection, and shape of the cost functions for process and inspection enhancement. The framework for analysis involves varying factors over two or three orders of magnitude to determine optimal inspection strategies across a wide range of environments These results are used to compare design decisions made in the presence of environmental uncertainty using expected-opportunity-cost and minimization-of-maximum-opportunity-cost approaches. Design strategies are identified for situations ranging from complete lack of knowledge about the environment through increasing levels of information. Information-gathering priorities are established, and the impact on the design decision of this additional information is assayed.     

An Empirical Test of the Strategic-Grid Model of Information Systems Planning*

Contingency models of information systems planning predict that no single planning approach will suit all organizations' needs. Little empirical research has been undertaken, however, to evaluate this prediction. Accordingly, we used McFarlan, McKenney, and Pyburn's (1983) strategic-grid model to study the information systems planning problems encountered by 49 governmental agencies. Twenty-seven agencies were required to follow a planning approach best suited to organizations that had a high level of dependence on both their existing and proposed systems. We predicted that agencies not having these characteristics would encounter the most problems with the approach. The remaining 22 agencies could choose their own planning approach. We studied this latter group to determine whether the problems encountered by the first group could be attributed to the mandated approach. Overall, the empirical results obtained were equivocal. Some results indicated that more planning problems were encountered by agencies in which the mandated approach was not appropriate to their position in the strategic grid. Other results were not supportive of this proposition. More work needs to be undertaken, therefore, to evaluate the predictive and explanatory power of contingency models of information systems planning. In addition, our research indicates a need to develop more rigorous theories of information systems planning behaviors, to improve the instruments needed to measure these behaviors, to explore the relationship between information systems planning behaviours and organizational effectiveness, to investigate how organizational learning impacts planning behaviors, and to determine the types of information systems planning problems that diffuse through organizations and those that remain localized.     

Integration Between Business Planning and Information Systems Planning: Validating a Stage Hypothesis

This paper proposes and empirically validates a stages of growth model for the evolution of Information Systems Planning (ISP). A questionnaire survey of senior IS executives is used to gather information pertaining to the stages of growth model, which includes measurement of the nature and level of integration between business planning (BP) and ISP. The del test is used to validate empirically benchmark variables for each stage of BP-ISP integration. The results support the stages of growth model of BP-ISP integration and the benchmark variables are generally found to be successful in predicting the stage of integration.     

An Investigation of Equity as a Determinant of User Information Satisfaction

This paper reviews equity theory and proposes that perceived inequity in the allocation of management information systems (MIS) resources is likely to influence overall user information satisfaction (UIS). Therefore, in addition to currently identified factors such as quality of information products (QIP), user's knowledge and involvement level (KIL), and EDP staff and services (ESS), equity is also likely to be a relevant factor in determining overall UIS. The paper reports on a cross-sectional survey to obtain data for testing the relevance of equity related issues in the MIS context. Responses from 226 users showed a strong correlation (.67, p > .001) between equity and overall UIS. Further, the addition of equity to the previously identified factors that influence overall UIS (i.e., QIP, KIL, and ESS) significantly increased the explained variance (from .48 to .56). The results support the relevance of equity related issues in determining user attitudes. It is recommended that MIS researchers and professionals take into account the likely influence of equity perceptions on user attitudes and behavior, and strive to develop and implement equitable resource allocation mechanisms. Implications of the findings for future research in the areas of MIS, UIS construct, systems implementation, and management of MIS are also discussed.     

A process-oriented perspective of IS success: Examining the impact of IS on operational cost

Effective measurement of information system (IS) success continues to be a top concern for both practitioners and researchers. Labeled the “productivity paradox”, previous attempts to quantify the benefits of IS have often resulted in inconclusive or inconsistent results. The present study contributes to IS success research through the development and empirical testing of a process-oriented model of IS success. Using an operational perspective and combining primary and secondary measures, this study examines the influence of lower-level intangible IS and information technology (IT) benefits on higher-level financial measures. Additionally, we introduce IS plan quality as an antecedent to the model's input variables. Primary survey data from CIOs of primarily Fortune 2000 size firms are combined with secondary data, total operational cost, from Compustat to facilitate the examination of the IS benefits. This study also addresses shortcomings cited in other studies that might have contributed to the productivity paradox by including control variables in the model, defining a research perspective—the operational success perspective—and clearly articulating the level of analysis as the organizational level. The results supported a process-oriented view of the benefits from IS and showed how the effects of IS along a path can lead to better organizational performance, in this case, lower overall costs. These results are discussed and future research implications are presented.     

Swiftness and Intensity of Administrative Innovation Adoption: An Empirical Study of TQM in Information Systems

Considerable attention has been directed toward developing a more complete understanding of innovation adoption by Information Systems (IS) departments. Much of this research has focused on the adoption of technological innovations, and limited research has focused on the adoption of administrative innovations. This paper focuses on an administrative innovation that is increasingly becoming popular among IS departments, namely Total Quality Management (TQM) in systems development. A synthesis of the IS innovation and TQM literatures was conducted to identify environmental, organizational, and task‐related factors that should relate to both the swiftness and the intensity of TQM adoption. The relationships between the identified variables and TQM adoption were examined using data collected from 123 IS departments in Fortune 1000 firms and large government agencies in the U.S. The results indicate that TQM adoption in systems development is influenced by the host organization's quality orientation and factors internal to the IS department including IS management support for quality, the presence of a separate quality assurance function, and the structural complexity of the IS department. Implications of this study for theory, future research, and practice are discussed.     

Does IO Economics Really Make the Case for Investments in IT: A Rejoinder

The preceding critique [1] of the paper “The Information Problems in Organizations: A Research Model for the Value of Information and Information Systems” [3], reaches general conclusions with respect to the original paper and the applicability of economics to MIS research. These conclusions are based on arguments developed at a different level of analysis than that used in the original paper, and without considering the goals and intent of the original paper. The differences between the critique and the original paper are highlighted.     

The Determinants of DSS Success: An Integrated Model*

The results of a field study investigating the determinants of decision support systems (DSS) success are presented. A multivariate model was developed and tested using multiple regression hierarchical analysis on responses from 118 DSS users. Several specific hypotheses are also proposed and tested. Data analyses indicate that DSS success, as measured by DSS satisfaction and perceived benefits, depends on several factors: previous user experience with DSS, user involvement, user training, top management support, information sources, the level of managerial activity, and task structure, difficulty and interdependence. Based on the research results, several suggestions are made to improve the likelihood of successful DSS implementation.     

Applications and Implementation DECISION SUPPORT SYSTEMS: AN EMPIRICAL ASSESSMENT FOR DECISION MAKING

A laboratory experiment examined the effects of applying decision support system (DSS) technology to decision making in ill-structured problem environments under varying information conditions. Marketing executives participated in the experiment which investigated the effects of DSS availability, DSS training, and data availability on dependent variables that included: (1) the number of alternatives considered by a subject during decision making, (2) the period of time spent by a subject to complete the decision-making process, (3) the subject's perceived confidence in the decisions he or she had made, (4) the amount of data considered by a subject's during decision making, (5) the individual subject's decision processing, and (6) the subject's performance overall. Our results indicate that all three factors significantly affect the number of alternatives considered by subjects during the decision-making process. We therefore suggest that DSS training be coordinated with decision training in order to realize the potential of DSSs as described in the DSS literature.     

Dogmatism and Systems Development Personnel Performance

This research explores the relationship between the personal variable, dogmatism, and the performance evaluations of systems analysts within a Fortune 500 company. The Rokeach Dogmatism Scale was used to measure the analysts’ level of dogmatism. The analysts’ performance measurement was the product of the company's annual evaluation process. The results of the research indicate that personnel with the highest dogmatism scores generally receive the extreme performance ratings. The results of this study provide further support to consider dogmatism as an important personal variable influencing systems analyst job performance.     

THE STRUCTURE OF EXECUTIVE INFORMATION SYSTEMS: AN EXPLORATORY ANALYSIS

This paper reports on a study which attempted to identify the structure of executive information systems and evaluate their relationship to decision making. The study centered on answering the question: “Where and how do senior executives get their decision-making information?” The data, provided by five senior executives, were gathered by a variety of means which included personal interviews, questionnaires, and logs of the executives' incoming-information transactions for a two-week period. Our findings support beliefs that senior executives receive much information from the environment, that informal systems play a role equal to that of formal systems, and that computers do not provide much information directly to an executive. The study also found that internal information is important and that preferred sources and media vary with different decision roles. The authors suggest that the scope of MIS and DSS be broadened to match those information networks managers actually rely on in daily practice.     

COST INCREASES DUE TO DEMAND UNCERTAINTY IN MRP LOT SIZING

This paper analyzes the cost increases due to demand uncertainty in single-level MRP lot sizing on a rolling horizon. It is shown that forecast errors have a tremendous effect on the cost effectiveness of lot-sizing techniques even when these forecast errors are small. Moreover, the cost differences between different techniques become rather insignificant in the presence of forecast errors. Since most industrial firms face demand uncertainty to some extent, our findings may have important managerial implications. Various simulation experiments give insight into both the nature and the magnitude of the cost increases for different heuristics. Analytical results are developed for the constant-demand case with random noise and forecasting by exponential smoothing. It is also shown how optimal buffers can be obtained by use of a simple model. Although the analysis in this paper is restricted to simplified cases, the results merit further consideration and study. This paper is one of the first to inject forecast errors into MRP lot-sizing research. As such it attempts to deal with one of the major objections against the practical relevance of previous research in this area.