Search

This study investigated the fit between contingency variables (e.g. task uncertainty and decentralization) in accounting information systems (AIS); a good fit is assumed to improve user satisfaction. We divided task uncertainty into two dimensions: variability and analyzability. We chose information scope, timeliness, and aggregation as the AIS characteristics to be studied within each dimension. User satisfaction was adopted as a surrogate to measure the performance of AIS. The responses of 126 managers were drawn from a cross-industry sample in Taiwan. Multiple regression models were employed to test the hypotheses. The results of the empirical test led us to two results: (1) broad-scope information (external environment or future-oriented information) promotes user satisfaction in high task variability situations, and (2) in a highly decentralized organization, broad-scope, timely, and aggregated information will also facilitate user satisfaction.

Rising health care costs and customer dissatisfaction with services has prompted many hospital administrators to begin scrutinizing their operations. The initial challenge for administrators is to identify the critical processes of the hospital. Since the main purpose of a hospital is to improve the health of its patients, one of its core processes involves the procedures of the operating room (OR). Focusing on OR processes should prove to be one important lever for improving the overall quality of hospital services.

The Total Quality Management (TQM) philosophy is rapidly being adopted by organizations that are concerned about remaining competitive in an intensely competitive global marketplace. As a result, Information Technology (IT) is being developed and deployed to foster these quality programs. However, little empirical research is available concerning implementation of technology in TQM environments. Research is needed to guide organizations toward a path of successful implementation of quality systems. The objective of this study is to devise a set of guidelines for organizations attempting to infuse total quality into their systems development efforts. The study draws upon data gathered from case studies of three organizations involved in total quality systems development. The three organizations were chosen based on their differences in size (total revenues). Contrasting the three organizations should add richness to the development of TQM guidelines. The study begins with a review of the quality research. The methodology is described in the next section. A synopsis of the case studies is then presented. Finally, a set of guidelines and theoretical implications synthesized from the literature and cases are introduced.

Executive information systems represent a significant departure from traditional computer-based information systems. Advocates of executive systems claim that their systems offer the leading-edge option for making computers truly effective for supporting key management functions. This paper examines the interaction between key characteristics of executive systems and fundamental features of human thinking drawn from the field of Behavioral Decision Theory. We examine the possibility that the operation of these systems may reinforce or intensify certain biases in human information processing. We present three examples of potential bias-intensification: availability, regression effects, and overconfidence. Next, the paper applies the concept of decisional guidance to develop design implications for executive systems. Lastly, the paper offers avenues for theoretical development and empirical research.

Examines the lack of availability of class action claims data and offers a set of solutions.

We examine empirically how different information types and information channels affect both the intention and the decision to adopt photovoltaic (PV) technology as affected by adoption stage. Analyzing data on a large European utility’s current and potential clients reveals how the effects of various drivers of adoption can change across phases of the adoption process. Our results challenge the common wisdom that information necessarily and homogeneously supports innovation adoption; instead, they strongly support the hypothesis that information types and channels have distinct effects on adoption rates. These results also highlight that, throughout the adoption process, the value of information changes. In addition, we clarify the effects of economic incentives on both the intention to adopt PV technology and actual adoption behavior. Our findings have critical implications for policy makers and for any technology manufacturing company that must optimize its marketing strategy and distribution channels to promote renewable energy systems.

Confronted by increasingly tight budgets and a broad range of alternative options, policy makers need empirical methods to evaluate the effectiveness of policies aimed at supporting the diffusion of renewable energy sources (RES). Rigorous empirical studies of renewable energy policy effectiveness have typically relied on panel data models to identify the most effective mechanisms. A common characteristic of some of these studies, which has important econometric implications, is that they assume that the contribution of RES to total electricity generation will be stationary around a mean. This paper reviews such assumptions and rigorously tests the time series properties of the contribution of RES in the energy mix for the presence of a unit root. To that end, we use both individual and panel unit root tests to determine whether the series exhibit non-stationary behavior at the country level as well as for the panel as a whole. The analysis, applied to a panel of 19 OECD countries over the period 1990-2012, provides strong evidence that the time series of the renewable share of electricity output are not stationary in 17 of the 19 countries examined. This finding has important implications for energy policy assessment and energy policy making, which are discussed in the paper.