자연주의적 탐구조사(Naturalistic Inquiry)

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Social Network Analysis

What makes organizations so similar? We contend that the engine of rationalization and bureaucratization has moved from the competitive marketplace to the state and the professions. Once a set of organizations emerges as a field, a paradox arises: rational actors make their organizations increasingly similar as they try to change them. We describe three isomorphic processes-coercive, mimetic, and normative—leading to this outcome. We then specify hypotheses about the impact of resource centralization and dependency, goal ambiguity and technical uncertainty, and professionalization and structuration on isomorphic change. Finally, we suggest implications for theories of organizations and social change.

The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields (Chinese Translation)

A 12-person-sponsored research team consisting of three academic researchers and nine experienced practitioners conducted a three-year investigation into ways to enhance innovation within engineering-procurement-construction organizations. Data from the literature combined with over 150 surveys of active practitioners were used to identify and classify factors that influence an organization's ability to generate and implement new ideas that improve business performance. The salient factors were then identified and their relative impact was rated using the nominal group technique. Finally, these data were organized into a maturity model tool that was pilot tested on four active construction organizations. The results of this study can be used by construction organizations to identify and respond to their innovation-related weaknesses. The hundreds of hours of discussions of the 12-member research team and the fairly large set of empirical data collected by the team confirm the value of the existing constru...

A tool for enhancing innovation in construction organizations

Construction hazard prevention through design: Review of perspectives, evidence, and future objective research agenda

Struck-by injuries are a leading proximal cause of fatal injuries and are usually caused by a falling or suspended objects and contact between workers and heavy equipment. As with other injuries, struck-by risks are most effectively mitigated early in the planning phases of a project. Among different methods of preconstruction safety management, safety risk modeling and integration has been shown to be highly effective. To enhance the current preconstruction safety management methods, the authors utilized an attribute-based risk identification and analysis method that helps designers and preconstruction planners to identify and model safety risk independently of specific activities or building components. In order to identify the attributes that contribute to struck-by incidents and quantify their relative risks, over 300 injury reports from the National databases reviewed. In total, 34 attributes were identified and their risks were then quantified. It was found that working under or near lifted loads (15.6%), working with heavy equipment (17.1%), workers on foot and moving equipments (13.5%) are the most hazardous attributes that lead to struck-by accidents. The results can be used by practitioners to integrate robust safety risk data into project designs, schedules, building information models, and pre-task plans.

Attribute-based risk model for measuring safety risk of struck-by accidents

There is emerging evidence that emotional states can influence human decision making under uncertainty. However, it remains unclear if and how emotions influence people’ ability to recogniz...

Using augmented virtuality to examine how emotions influence construction-hazard identification, risk assessment, and safety decisions

Although the quantity and quality of safety risk data have improved in recent years, available data do not link directly to natural principles and are, therefore, limited in their application and s...

https://www.tandfonline.com/doi/pdf/10.1080/01446193.2016.1274418

Matthew R. Hallowell

Papers

A tool for enhancing innovation in construction organizations

Construction hazard prevention through design: Review of perspectives, evidence, and future objective research agenda

Attribute-based risk model for measuring safety risk of struck-by accidents

Using augmented virtuality to examine how emotions influence construction-hazard identification, risk assessment, and safety decisions

Energy-based safety risk assessment: does magnitude and intensity of energy predict injury severity?