A Knowledge Framework Underlying Process Management*

Organizations are increasingly implementing process‐improvement techniques like Six Sigma, total quality management, lean, and business process re‐engineering to improve organizational performance. These techniques are part of a process management system that includes the organizational infrastructure to support the improvement techniques. The knowledge‐based view of a firm argues that organizational knowledge is the source of competitive advantage. To the extent that the process management system enables knowledge creation it should be a source of competitive advantage. This study investigates the underlying framework and factors of a process management system that lead to organizational knowledge creation. Prior studies have considered knowledge creation in process improvement, but none have considered the role of the process management system. Specifically, the study uses the case study method to investigate multiple levels (organization level and project level) of two firms using Six Sigma as their chosen process management system. Analysis of the cases reveals that the leadership creates a supportive infrastructure enabling process‐improvement techniques to effectively create organizational knowledge. Interestingly, focusing on decision‐making tools and methods may not be effective without developing a supportive infrastructure. The proposed framework provides a basis for organizational leaders to think about how to design and implement a process management system to better enable knowledge creation in organizations.     

Weight-related issues and high-risk sexual behaviors among college students

Individuals with high body mass index (BMI), negative body image, and unhealthy weight control behaviors may be more likely to engage in high-risk sexual behaviors than others. Researchers have not fully investigated these relationships in a sample of college students. The authors collected data regarding several weight-related issues and high-risk sexual behaviors (response rate = 39%) from 1,168 college students. Over half reported at least 1 high-risk sexual behavior. After the authors controlled for several demographic characteristics, they found that higher BMIs were associated with increased odds of having a casual sexual partner (odds ratio [OR] = 2.70) and being intoxicated at last intercourse (OR = 2.25). Among women, unhealthy weight control behaviors were associated with having a casual partner (OR = 2.12), using no or unreliable contraception (OR = 1.98), and being intoxicated at last intercourse (OR = 2.31). Weight-related issues were not associated with sexual behaviors among college men. The authors describe their findings within two health behavior frameworks, and they discuss implications for research and health education.     

Creating trust with major donors: The service encounter model

Although the wealthy individuals who create charitable trusts exert considerable influence on the $123 billion of charitable giving, very little is known about this segment. Aside from data about the size of donations and emerging information about their motivations, the philanthropic and marketing literature is largely silent on issues surrounding major philanthropic acts. For example, what aspects of the service encounter catalyze support and create a successful experience? What are the prior constituent, voluntary, and donor behaviors of individuals who create trusts exceeding $1 million? What support is required from nonprofit and external legal and financial advisers? This article provides a model of the trust creation process framed by insights from the services marketing literature, documents the process empirically, and draws out implications for nonprofit resource development.     

A new perspective on quality

The U.S. health care sector consumes nearly 13 percent of our nation's gross national product, $800 billion annually. Our nation allocates the highest amount per capita to health care in the world. Yet many measures of health care outcomes from these expenditures are inferior to other developed nations. The American health care system costs too much, excludes too many, fails too often, contains much excessive and inappropriate care, and knows too little about the effectiveness of the things it does. The purpose of this article is to discuss current payers' perspectives on the potential for quality improvement in the U.S. health care system.     

An Integrated Framework for Measuring Product Development Performance in High Technology Industries

We present an integrated framework for measuring product development performance. The framework consists of a three stage model for exploring the relationships between metrics used by design, manufacturing, marketing functions, and overall commercial success. Using a cross‐sectional survey of 383 product development professionals working on 38 product development projects in the high‐tech electronic assembled goods manufacturing sector, we provide empirical evidence of the proposed framework. The findings indicate that in the high‐tech manufacturing sector (1) commercial success of new product development projects is primarily determined by market share, (2) gain in market share is primarily driven by lower unit cost and not by technical performance, and (3) reduction in unit cost is primarily driven by the increased speed of new product development and not by the R&D budget. The study failed to identify any significant association between R&D budget and technical performance, and development speed and technical performance.     

Multivariate logistic regression for familial aggregation in age at disease onset

Familial aggregation studies seek to identify diseases that cluster in families. These studies are often carried out as a first step in the search for hereditary factors affecting the risk of disease. It is necessary to account for age at disease onset to avoid potential misclassification of family members who are disease-free at the time of study participation or who die before developing disease. This is especially true for late-onset diseases, such as prostate cancer or Alzheimer's disease. We propose a discrete time model that accounts for the age at disease onset and allows the familial association to vary with age and to be modified by covariates, such as pedigree relationship. The parameters of the model have interpretations as conditional log-odds and log-odds ratios, which can be viewed as discrete time conditional cross hazard ratios. These interpretations are appealing for cancer risk assessment. Properties of this model are explored in simulation studies, and the method is applied to a large family study of cancer conducted by the National Cancer Institute-sponsored Cancer Genetics Network (CGN).