Development of an instrument to measure managers attitudes toward automated decision making
SIGBDP '90 Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems
Normative standards for IS research
ACM SIGMIS Database
Helping programmers understand computer programs: the use of metacognition
ACM SIGMIS Database
SIGCPR '97 Proceedings of the 1997 ACM SIGCPR conference on Computer personnel research
ICIS '99 Proceedings of the 20th international conference on Information Systems
Software Project Duration and Effort: An Empirical Study
Information Technology and Management
The impact of information technology on the financial performance of diversified firms
Decision Support Systems - Special issue: Economics and information systems
An assessment of group support systems experimental research: methodology and results
Journal of Management Information Systems - Special issue: GSS insights: a look back at the lab, a look forward from the field
Survey research methodology in management information systems: an assessment
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Journal of Management Information Systems - Special section: Exploring the outlands of the MIS discipline
Information systems outsourcing: a literature analysis
Information and Management
The Matrix of Control: Combining Process and Structure Approaches to Managing Software Development
Journal of Management Information Systems
Journal of Management Information Systems
The Use of Cognitive Maps and Case-Based Reasoning for B2B Negotiation
Journal of Management Information Systems
Determinants of success for application service provider: An empirical test in small businesses
International Journal of Human-Computer Studies
CAKES-NEGO: Causal knowledge-based expert system for B2B negotiation
Expert Systems with Applications: An International Journal
How Does Information Technology Shape Supply-Chain Structure? Evidence on the Number of Suppliers
Journal of Management Information Systems
The impact of information technology on the financial performance of diversified firms
Decision Support Systems - Special issue: Economics and information systems
Evaluating a model of software managers' information needs: an experiment
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
An empirical investigation of integration in healthcare alliance networks
Decision Support Systems
The influence of product integration on online advertising effectiveness
Electronic Commerce Research and Applications
The role of readiness factors in E-learning outcomes: An empirical study
Computers & Education
Validating instruments in MIS research
MIS Quarterly
Information systems as a reference discipline
MIS Quarterly
Factors of stickiness in transfers of know-how between MNC units
The Journal of Strategic Information Systems
Information Technology and Management - Special issue on New Theories and Methods for Technology Adoption Research
Design and evaluation of Ubiquitous Information Systems and use in healthcare
Decision Support Systems
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Statistical power is a topic of importance to any researcher using statistical inference testing. Studies with low levels of statistical power usually result in inconclusive findings, even though the researcher may have expended much time and effort gathering the data for analysis. A survey of the statistical power of articles employing statistical inference testing published in leading MIS journals shows that their statistical power is, on average, substantially below accepted norms. The consequence of this low power is that MIS researchers typically have a 40 percent chance of not detecting the phenomenon under study, even though it, in fact, may exist.Fortunately, there are several techniques, beyond expanding the sample size (which often may be impossible) that researchers can use to improve the power of their studies. Some are as easy as using a different but more powerful statistical test, while others require developing more elaborate sampling plans or a more careful construction of the research design. Attention tot he statistical power of a study is one key ingredient in assuring the success of the study. This article should serve as a useful guide for MIS researcher sin the planning, execution, and interpretation of inferential statistical analyses.