Integration of five health behaviour models: Common strengths and unique contributions to understanding condom use

The purpose of this research was to select from the health belief model (HBM), theories of reasoned action (TRA) and planned behaviour (TPB), information–motivation–behavioural skills model (IMB) and social cognitive theory (SCT) the strongest longitudinal predictors of women's condom use and to combine these constructs into a single integrated model of condom use. The integrated model was evaluated for prediction of condom use among young women who had steady versus casual partners. At Time 1, all constructs of the five models and condom use were assessed in an initial and a replication sample (n?=?193, n?=?161). Condom use reassessed 8 weeks later (Time 2) served as the main outcome. Information from IMB, perceived susceptibility, benefits, and barriers from HBM, self-efficacy and self-evaluative expectancies from SCT, and partner norm and attitudes from TPB served as indirect or direct predictors of condom use. All paths replicated across samples. Direct predictors of behaviour varied with relationship status: self-efficacy significantly predicted condom use for women with casual partners, while attitude and partner norm predicted for those with steady partners. Integrated psychosocial models, rich in constructs and relationships drawn from multiple theories of behaviour, may provide a more complete characterisation of health protective behaviour.     

What do decision models tell us about information use?

This paper develops hypotheses about the implications of different types of decision for the utilization of different types of systematically produced information: data, research, and analysis. The engineering and enlightenment models found in the knowledge utilization literature prove inadequate for this purpose. We turn to three decision models—routine, incremental, and fundamental–and determine their implied demands for information. We also examine how information might be used in scanning procedures in anticipation of decision regime shifts. The results suggest that patterns of information should differ markedly in each decision context and indicate that there may be an inherent bias against the use of research in decision. Evert A. Lindquist, a doctoral candidate at the Graduate School of Public Policy, University of Calfornia at Berkeley, is completing a dissertation onPolicy Institutes in Canada: The Organization and Relevance of Public Inquiry and will join the faculty of the Department of Political Science at the University of Toronto this fall. Organizations, public policy, and the role of information in decision making are among his primary research interests.     

Innovative knowledge Utilization through information transfer: A new relationship between libraries and user organizations

In our rapidly changing environment, both profit and non-profit organizations confront an increasing demand for technological, economic, and social innovation. In response to this demand, organizations are taking on the role of “change agents” by transforming existing practices into innovative action. Libraries, as centers that accumulate and disperse knowledge, can support these organizations in their “change agent” roles. This paper delineates the way public libraries can help organizations meet the increasing need for external information associated with innovation. Policy issues concerned with efficient information transfer to user organizationss are specified, and two concrete examples of information transfer systems are described. In order to best utilize existing knowledge,personal-professional assistance in selecting potentially innovative,impersonal written materials is recommended. Dr. Celeste P. M. Wilderom is an assistant professor at the School of Economics of the Free University of Amsterdam, The Netherlands and a research associate in organization behavior at the School of Management, S.U.N.Y., Buffalo. NY 14260. Her Ph.D. is in organizational psychology from S.U.N.Y., Buffalo, Where she taught in the Schools of Management and Social Work. Dr. Wilderom's research interests are behaviors in service and nonprofit organizations, problems of cross-cultural managemet and educational issues in the social sciences.     

Explaining use of information in public policymaking

In recent years, scholars have attempted to understand the role of information in policymaking by developing several models of information utilization and have tested them empirically, at both national and state levels. This paper has called into question past studies as they relate to describing and explaining use of information. This paper tests an integrated model of information utilization that contains four sets of primary variables: decision makers’ environments (i.e., nature of policy issues), organization, individual characteristics, and characteristics of information. Based on the conceptual framework, a path model is built and tested against data about knowledge utilization and policy change in two areas of mental health policy (i.e., service and financing). The findings of the study have demonstrated that decision makers’ behavior does not conform to the assumptions put forward by either the organizational interest (e.g., information source or content of information) or the communications perspective (e.g., decision makers’ attitudes toward social science research). Instead, we have shown that information utilization is affected directly and indirectly by a variety of factors and their linkage, and not dominated by one set of factors that is defined by a singe perspective. The most important paths in the model are those between factors associated with information (e.g., the amount of information received or information source) and the use of information. Interestingly, these factors also play the role of major intervening mechanisms for linking other factors to decision makers’ use of information. More importantly, the general pattern of the findings indicates that policy areas make a difference in the process of information utilization.     

Digital communities of practice: Investigation of actionable knowledge for local information networks

The article explores integration of knowledge-enabling digital technology into community functions through the development of local Digital Communities of Practice. This analysis includes both general considerations—in terms of domain, community, and practice dimensions—as well as results from an exploratory research project in Minnesota. The domain is described as integrated deployment of virtual services (education, human services, government) in local communities; the community is comprised of the local stakeholders and residents that would use or benefit from such services; and the practice is considered as a decision-making processes for designing and deploying these services. The paper concludes with research and policy considerations for providing an enduring source of knowledge about local virtual services, needs, and solutions. His research focuses on the evaluation of information technologies as they are planned and deployed in infrastructures, organizations and community systems. This research has been reported in Information Systems Frontiers, Communications of the ACM, Journal of Urban Technology, and Policy Studies Journal. Dr. Horan has also written two books, Digital Places (2000) and Digital Infrastructures (2004, co-edited with Rae Zimmerman). He has both his Masters and Doctorate degrees from the Claremont Graduate University and has held visiting scholar positions at MIT, Harvard, UCLA, and University of Minnesota. Kimberly Wells is an organizational psychologist currently working as an independent consultant. Since 1996 her research and work have converged upon issues involved with assessing the influence of technology in organizational and community settings. Ms. Wells is presently completing her doctorate at Claremont Graduate University, California. Her dissertation explores processes for improving the knowledge-creating capacity of virtual teams. Ms. Wells has a Masters degree in Organizational Behavior, Claremont Graduate University, and a Masters degree in Anthropology from the College of William and Mary, Virginia.     

Empirical and Theoretical Conclusions of an Analysis of Outcomes of HIV-Prevention Interventions

ABSTRACT— Over two decades of HIV-prevention attempts have generated a most impressive ecological data set for the test of behavioral-change and persuasion theories in the domain of condom use. An analysis of this evidence has yielded five important empirical and theoretical conclusions. First, interventions are more successful at achieving immediate knowledge and motivational change than they are at achieving immediate behavioral change. Second, the immediate motivational change decays over time, whereas behavior change increases over the same period. Third, interventions that engage audiences in particular activities, such as role-playing condom use, are more effective than presentations of materials to passive audiences. Fourth, interventions consistent with the theories of reasoned action and planned behavior, with self-efficacy models, and with information-motivation and behavioral-skills models prove effective, whereas interventions designed to induce fear do not. Fifth, expert intervention facilitators are more effective than lay community members in almost all cases. When populations are unempowered, expert facilitators are particularly effective, and they are most effective if they also share the gender and ethnicity of the target audience.     

Understanding,Measuring, Enhancing Collective Creative Problem-Solving Efforts

Accumulated theories and research findings about the various attributes of groups and organizations that do creative problem solving (CPS) well, systems models of CPS activity that occurs in social settings, and efforts to measure and enhance joint CPS efforts are reviewed. Conclusions that can be drawn from this review about the nature of CPS and about the persons, groups, and organizations that do CPS well are discussed. A 'tri-level matching theory' is proposed as a way of integrating and explaining these findings. Creatively solvable problems vary widely in their complexity, knowledge needs, and the amounts of divergent and convergent thought that are needed, and so the theory predicts that persons, groups, and organizations with different preferences and abilities, knowledge and work arrangements will best match the character of particular problems. CPS research usually found individuals superior to groups, but this pattern of findings may have resulted from the tasks, concepts, and research methods used. Limitations in conceptualization, research methods, and resulting knowledge about collective CPS efforts are identified and discussed, and extensions of existing research as well as new directions for future study are proposed.     

Models of human social behavior and their application to health psychology

Abstract

Theoretical models popular in the health domain differ in level of generality. Some were developed to deal with any human social behavior and then applied to health psychology, others were specifically designed to deal with health-related issues. Content-specific theories, such as the health-belief model and the perceptual-cognitive approach, outline in detail factors relevant for our understanding of health-related beliefs and actions. In contrast, it is only in the course of empirical research that content-free models, such as social cognitive theory and the theory of planned behavior, obtain the specific information required for understanding. Their advantage lies in their applicability across behavioral domains. Whether content-specific or content-free, the major utility of models developed to date has been to organize and communicate knowledge about health-related behavior. Few profound insights have as yet resulted from their application, with the possible exception of the recognition that self-regulation, and especially self-efficacy, plays a major role in all aspects of health, illness, and recovery.     

Complexity,evolution, and creativity in new management theories … or,in other words,what is the connection between an immune system network and a corporation?

Many studies about organizational experiences and theories converge today in the idea that the economic factor, most competitive now in the production of value, is the de-materialization of the economical and organizational processes. Immaterial factors (like knowledge, services, information, relationships, virtual transactions, etc.) are the competitive and crucial innovations for future competition and, at the same time, the most important criteria to rethinking and understanding the future organization. If this is true, we can realize that every person in organizations, every personal history in organizations, or better the evolutionary uniqueness of every person in organizations, is the real depositary and bearer of this de-materialization.     

Method factors associated with assessment of child behavior: Fact or artifact?

A sample of 64 phobic children between the ages of 6 and 16, with their general population matched controls, were rated by parents on the Louisville Behavior Check List and Louisville Fear Survey and by teachers on the School Behavior Check List. The analysis of ratings by factor analysis revealed three instrument factors while a multiple discriminant analysis elicited a multidimensional phobic trait that crossed observers, situations, and instruments. The results are discussed in terms of the implications for multivariant analysis of behavior change as well as for classification of psychopathological disorders of childhood. The thesis is advanced that instrument factors elicited by factor analysis in psychotherapy change studies are statistical artifacts and that a multiple discriminant analysis is a more appropriate technique for the study of change as well as for classification.This study is one aspect of a psychotherapy research project on phobic children which was supported in part by National Institute of Mental Health Grant No. MH 13219.     

Conflict or control: Research utilization strategies as power techniques

The sociology of research and knowledge use, argue the authors, could be a way of linking important parts of sociology, such as organization studies, the sociology of science to each other. In the article, they discuss the idea that organizational responses to environments are related to research utilization. Based upon an empirical investigation of city welfare departments, four empirical “utilization strategies” are presented and shown to be related to power and control patterns. While negative utilization strategies are hostile to uncontrolled research utilization and enhance the formation of bureaucratic expertise, conflict-oriented strategies are discursively productive and reinforce research use and alliance formation with social scientists to control the environment. Kjell Nilsson presented his dissertation on research utilization in different policy sectors at Lund University in February 1992. He has written and cowritten one book and several articles in the field of knowledge and bureaucracy. Sune Sunesson, Ph.D., is currently professor and head of the research department and Ph.D., program in the School of Social Work at Lund University. He has written several books and articles in the field of bureaucracy studies, the sociology of human service organizations and the utilization of knowledge.     

Improving urban and disadvantaged schools: Dissemination and utilization perspectives

There has been increasing concern in a number of countries about the perceived deterioration of schools that serve immigrant, minority or poor children. Field reports suggest that such schools tend to be bureaucratic, politicized, and isolated from the most up-to-date information about educational innovations that may improve the educational opportunities for disadvantaged children. Even in countries with relatively well-established dissemination systems, these schools may be “out of the knowledge utilization loop.” In this paper, the organizational properties of U.S. urban schools that may lead to their isolation from knowledge will be discussed, and a variety of strategies to improve dissemination and utilization will be outlined, including political/community organizing, linking dissemination to organization development, increasing the salience of ties between universities and schools, the development of teacher networks, and action research. The paper will conclude with some principles for designing a dissemination system that will effectively promote knowledge utilization in urban centers. p]The conditions in some of our schools are so bad, and the physical and social environments in which these schools are located are so frightful, that we may have to cross off some...as expendable. (Halpin, 1966, as quoted in Englert, 1993: 3.) Her research and teaching interests include innovation processes in education, knowledge use in schools, and schools as workplaces. Recent publications include articles on social values and the quality of teacher work life,Reforming the Urban High School: What Works and Why with Matthew B. Miles, andReshaping the Principalship, with Joe Murphy. The preparation of this paper was supported, in part, by the University of Wisconsin-Madison, Center for Effective Secondary Schools, which was funded by the U.S. Department of Education, Office of Educational Research and Improvement (Grant No. G-008690007). Any opinions, findings and conclusions or recommendations are those of the author and do not necessarily reflect the views of either of the supporting agencies. An earlier version was presented at a conference on dissemination and school improvement held at Haifa University, June 1993.     

On the Interaction of Theory and Data in Concept Learning

Standard models of concept learning generally focus on deriving statistical properties of a category based on data (i.e., category members and the features that describe them) but fail to give appropriate weight to the contact between people's intuitive theories and these data. Two experiments explored the role of people's prior knowledge or intuitive theories on category learning by manipulating the labels associated with the category. Learning differed dramatically when categories of children's drawings were meaningfully labeled (e.g., “done by creative children”) compared to when they were labeled in a neutral manner. When categories are meaningfully labeled, people bring intuitive theories to the learning context. Learning then involves a process in which people search for evidence in the data that supports abstract features or hypotheses that have been activated by the intuitive theories. In contrast, when categories are labeled in a neutral manner, people search for simple features that distinguish one category from another. Importantly, the final study suggests that learning involves an interaction of people's intuitive theories with data, in which theories and data mutually influence each other. The results strongly suggest that straight-forward, relatively modular ways of incorporating prior knowledge into models of category learning are inadequate. More telling, the results suggest that standard models may have fundamental limitations. We outline a speculative model of learning in which the interaction of theory and data is tightly coupled. The article concludes by comparing the results to recent artificial intelligence systems that use prior knowledge during learning.     

A framework for the conceptualization,design, and strategic management of planned change systems

This article extends a framework for conceptualizing, designing, and managing planned change-systems. The framework argues that the adoption of social innovations is best facilitated when change organizations manage how target adopters perceive and enact the entire adoption experience. This process is accomplished by defining three critical components of the change-system and applying the principles of synergy to their design and management. Christine Moorman is an assistant professor of marketing at the Graduate School of Business, University of Wisconsin-Madison. Her current research interest include consumers' use of health and nutrition information, managers' use of market research information, and social marketing. Brian Dondiego Uzzi has an M.S. in industrial administration from Carnegie-Mellon University and is presently a Ph.D. student in the department of sociology at the State University of New York at Stony Brook. Karen Russo France has an M.B.A. from the Katz Graduate School of Business, University of Pittsburgh and is currently a doctoral student in marketing at the University of Pittsburgh.     

组织情境中腐败的研究进展

随着公司各类丑闻和腐败事件的不断曝光,腐败受到管理学领域的广泛关注。本文基于腐败的定义,对个体腐败和组织腐败的影响因素加以回顾,从动态和多层次的视角总结了腐败从个体现象演变成群体或组织现象的过程模型,主要包括腐败常规化模型、道德推脱模型、社会认同模型和情绪诱发模型。最后,从探索其他影响因素及交互作用、对群体腐败提出假设并检验、进一步构建腐败理论三个方面对该领域的未来研究方向做出展望。     

Lessons on the utilization of research from nine case experiences in the natural hazards field

Research-funding organizations and research investigators can take several steps to improve the utilization of scientific research. These steps were derived from nine case studies of research projects in the natural hazards field, representing three academic fields of study: physical science, social science, and architecture. The case studies investigated the extent to which these projects corroborated the conditions associated with specific theories of research utilization. Following a replication research design, the cross-case conclusions were that greater utilization will result where research investigators and users maintain a rich set of professional communications over time, leading to research that is: academically excellent, addresses practical problems, can be modified in the early stages to be responsive to users’ needs, and produces usable products. Robert K. Yin is President of COSMOS Corporation, which specializes in both social science research and in information systems development. Dr. Yin also serves as a visiting professor, department of Computer Science and Information Systems, American University, Washington, D.C. 20016. Gwendolyn B. Moore is a senior manager for Nolan, Norton, & Co., an information technology affiliate of Peat Marwick. She specializes in information technology and strategic planning projects, and holds an MBA in Business Policy from the University of Massachusetts.     

Semantic grounding in models of analogy: an environmental approach

Empirical studies indicate that analogy consists of two main processes: retrieval and mapping. While current theories and models of analogy have revealed much about the mainly structural constraints that govern the mapping process, the similarities that underpin the correspondences between individual representational elements and drive retrieval are understood in less detail. In existing models symbol similarities are externally defined but neither empirically grounded nor theoretically justified. This paper introduces a new model (EMMA: the environmental model of analogy) which relies on co‐occurrence information provided by LSA (Latent Semantic Analysis; Landauer & Dumais, 1997) to ground the relations between the symbolic elements aligned in analogy. LSA calculates a contextual distribution for each word encountered in a corpus by counting the frequency with which it co‐occurs with other words. This information is used to define a model that locates each word encountered in a high‐dimensional space, with relations between elements in this space representing contextual similarities between words. A series of simulation experiments demonstrate that the environmental approach to semantics embodied in LSA can produce appropriate patterns of analogical retrieval, but that this semantic measure is not sufficient to model analogical mapping. The implications of these findings, both for theories of representation in analogy research and more general theories of semantics in cognition, are explored.     

团队决策及其影响因素

随着组织结构的变化,团队决策为越来越多的组织所采用。该文将团队决策的研究范式概括为以下四类：社会决策图式（social decision scheme, SDS）、信息取样模型（information sampling model）、项目排序任务（ranking item task）团队以及组织中以安全优先的团队（safety priority team）;并从影响团队决策的因素,提高团队决策质量的策略等角度分别对四类团队决策的研究进行探讨,在此基础上本文对未来研究进行了展望     

The relationship between organizational trust,resistance to change and adaptive and proactive employees' agility in an unplanned and planned change context

Modern organizations need to adapt quickly to on-going changes. The present study sought to examine employees' agility during periods of sudden, unplanned, and during periods of planned change. It was investigated to what extent one's trust in the organization and resistance to change could predict proactive agility and adaptive agility. Data came from employees (N = 188) in two different organizations, one undergoing an unplanned change and one undergoing a planned change. In both contexts, organizational trust had a negative relationship with resistance to change. In an unplanned change context (organization one), trust of employees in the organization had a positive effect on the adaptive component of agility through the (negative) mediation by affective resistance to change. In this context, trust did not have any (mediated) effect on the proactive component of agility. In contrast, in a planned change context (organization two), trust had a positive effect on the proactive component of agility, partially through the (negative) mediation by resistance to change. In this context, trust also had a positive effect on the adaptive component of agility, partially through the (negative) mediation by resistance to change. These results imply that trust works in different ways depending on the type of change. More trust through less resistance implies better adaptation during unplanned organizational change. More trust works directly and partially through less resistance to change to enhance employee proactivity and adaptability during planned change.