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In a traditional Business Intelligence (BI) system, power users serve less experienced casual users. Power users analyze and gather data requested by casual users, and produce the reports and visualizations that casual users base their decisions on. When data volumes and the usage frequency of a traditional BI system increase, power users have problems serving all the requests from casual users. The Self Service Business Intelligence (SSBI) approach can enable users to be more self-reliant and less dependent on power users. Although SSBI promises more benefits compared to a traditional BI system, many organizations fail to implement SSBI. The literature review presented in this paper discusses six SSBI challenges related to "Access and use of data" and four challenges related to "Self-reliant users". Awareness of these ten challenges can help practitioners avoid common pitfalls, when implementing SSBI, as well as guide SSBI researchers in focusing on their future research efforts.

This article reviews deficiencies in energy information programs that are based on the rational-economic model to change individual-level behaviors. Literature from social psychology, environmental psychology, evaluation research, and innovation diffusion is used to address two needs. The first is the need to supplement the rational-economic model with social and behavioral theories to understand the problem. The second is the need to use some of the tools from these fields to make energy information-dissemination programs more effective at the individual level. Government agencies commonly seek to change public behavior using informational energy programs; however, program designs rarely take into account psychological theories about how people perceive or use the information.

The increasing interest in process engineering and application integration has resulted in the appearance of various new process modelling languages. Understanding and comparing such languages has therefore become a major problem in information systems research and development. We suggest a framework to solve this problem involving several instruments: a general process metamodel with a table, an analysis of the event concept, and a classification of concepts according to the interrogative pronouns: what, how, why, who, when, and where. This framework can be used for several purposes, such as translating between languages or verifying that relevant organisational aspects have been captured. To validate the framework, three different process modelling languages have been compared: Business Modelling Language (BML), Event-driven Process Chains (EPC) and UML State Diagrams.

3This research investigates the antecedents of psychosocial impacts of the TMI nuclear power plant accident. A model of factors that are hypothesized to affect impact levels is developed and configured to approximate a hypothetical causal sequence. Using data from the Nuclear Regulatory Commission telephone survey, the technique of path analysis is used to test relationships in the model. The results show that the antecedents explain 12% of the variance in individual stress, 45% of the variance in family disruption, and 16% of the variance in perceived community change. The analysis shows that the TMI specific attitudes and sensitivity to radiation risks are strong antecedents of impacts. Although general attitudes toward nuclear power have minor indirect effects, it appears that situational experiences with the accident are the major contributors toward explaining impact levels.'The authors wish to thank the Department of Energy and Nuclear Regulatory Commission for support. The findings and conclusion are those of the authors and do not reflect the opinions of these agencies.'Requests for reprintsshould besent to John Sorensen, Oak Ridge National Laboratory, P.O.Box X, Oak Ridge, TN 37831.