THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Design and Analysis of Experiments

Ten years ago, we presented the DeLone and McLean Information Systems (IS) Success Model as a framework and model for measuring the complex-dependent variable in IS research. In this paper, we discuss many of the important IS success research contributions of the last decade, focusing especially on research efforts that apply, validate, challenge, and propose enhancements to our original model. Based on our evaluation of those contributions, we propose minor refinements to the model and propose an updated DeLone and McLean IS Success Model. We discuss the utility of the updated model for measuring e-commerce system success. Finally, we make a series of recommendations regarding current and future measurement of IS success.

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The DeLone and McLean Model of Information Systems Success: A Ten-Year Update

Data Mining - Concepts and Techniques.

According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.

Out of the Crisis

Data Mining Practical Machine Learning Tools and Techniques

Gene repair is a new emerging healthcare technology garnering increasing attention. Despite the large potential future market for gene repair, a lack of research exists between the advancement of this innovation and consumer adoption intention. This study develops a theoretical model by contextualizing the unified theory of acceptance and use of technology (UTAUT) into gene repair applications. That model is extended to this specific context by integrating the relevant constructs of perceived risks and trust. Survey data allows empirically testing this new posited model through partial least square-structural equation modeling. Results show the effectiveness of the proposed model and explain the mechanism of consumer behavioral intention in the context of a gene repair application, a proxy of emerging healthcare technology. Specifically, findings show that both social influence and facilitating conditions positively correlate with consumer behavioral intention. In addition, research on trust is extended because performance expectancy and perceived risks fully mediate the correlation between trust and consumer behavioral intention. The findings of both direct and mediation effects contribute to the technology acceptance literature and provide practical implications on the promotion of emerging healthcare technologies.

Consumer Behavioral Intention of Adopting Emerging Healthcare Technology


Purpose
This study aims to investigate the determinants of cloud computing usage behavior by exploring trust, several trust antecedents, risk perceptions and the direct and mediating relationships of trust and perceived risk on the intention toward the behavior.


Design/methodology/approach
An online survey was administered to 1,228 cloud technology users. Using structural equation modeling, a proposed framework of 13 factors that have a direct and indirect influence on the usage behavior was introduced and tested.


Findings
It was observed that the intention toward the usage was influenced by trust and performance expectancy. Additionally, trust was affected by perceived accessibility and perceived technical support. The findings provided evidence on the diminished effect of perceived privacy and the insignificance of the mediating relationship of trust and perceived risk on the intention.


Research limitations/implications
The study provides multiple implications for researchers by highlighting the concept of trust in this context and enriching their understanding of the relationship between risk and trust.


Practical implications
The research provides valuable guidelines for service providers toward introducing major concerns and the importance of dependable technical support.


Originality/value
This study contributes to the cloud computing literature by exploring the effect of perceived technical support on the usage and examining the relationship between trust and risk.


Intention, trust and risks as core determinants of cloud computing usage behavior

In this paper, we proposed a neuroscience-based general framework for IS visual systems design that uses neuroscience as the bridge that systematically integrates the principles of design aesthetics and principles of positivistic functionalities into a comprehensive model. Based on our general conceptual model, we also provide a detailed typological framework for the practical IS visual systems design.

Bridging Aesthetics and Positivism in IS Visual Systems Design with Neuroscience: A Pluralistic Research Framework and Typology

The Business Performance Management (BPM) framework helps an organization continuously adjust and successfully execute its strategies. BPM helps increase flexibility by providing managers with a sense of uncertain changes earlier and allows faster response to such changes. It thus helps organizations address market opportunities. The purpose of this study is to develop a common general framework for the business performance management model by integrating the practitioner literature. Examination of the practitioner BPM models suggests that they have common constructs. All BPM models use integrated data and data analysis to (1) develop strategies, (2) devise action plans (e.g., definition of targets, models, projects, and initiatives) in terms of metrics and key performance indicators (KPIs)) to deploy these strategies, (3) define, measure, and manage performance against metrics and KPIs, and (4) adjust strategy and/or performance. Based on the literature review, a BPM model was proposed and presented at the 2007 Monfort Summit. The 2007 Monfort Summit was a gathering of Baldrige Award Recipient (BAR) members and a small group of selected researchers from across the United States. We present the revised BPM model based on the feedback provided by the 2007 Monfort Summit participants.

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Victor R. Prybutok

Papers

Consumer Behavioral Intention of Adopting Emerging Healthcare Technology

Intention, trust and risks as core determinants of cloud computing usage behavior

Bridging Aesthetics and Positivism in IS Visual Systems Design with Neuroscience: A Pluralistic Research Framework and Typology

Theoretical development of a business performance management (BPM)

Sensitivity analysis for power industry radionuclide air stack emissions leukemia incidence risk comparison models