Computers and commitment to a public management decision: An experiment

Based on results of an experiment, hypotheses are tested concerning the effects of computer use on decision commitment. The experiment required subjects to make an adoption decision regarding a hypothetical government agency's innovation. Subjects could choose from a variety of information sets, some computer based, some not, before making the decision. After their decision the subjects were given “new evidence” that contradicted their initial position. Two experimental treatments included more difficult access to the computer-based information and higher cost for the computer-based information. Results indicate that access difficulty diminishes confidence in decisions and leads to lesser commitment. However, the cost of the computer information seems to have little bearing on decision commitment. Barry Bozeman is director of the Technology and Information Policy Program of the Maxwell School of Public Affairs, Syracuse University, Syracuse NY 13244-4010. There he is professor of public policy and administration and affiliate professor of engineering. His research has focused on organization theory and public management, science and technology policy, and the use of technical information in decision-making. R.F. Shangraw, Jr. is vice president of Independent Project Analysis, Inc., Great Falls, Virginia. Previously, he was assistant professor of public administration at Syracuse University. His research interests include information management, decision-making, and public policy applications of expert systems.     

Computers and the nature of farm management

The introduction of computer-based information systems to be used by farmers, as in many other fields, is preceded mostly by great expectations. Some persons even tend to think that eventually the computer might take over farm management. This article tries to make an assessment of the validity of such expectations. Based upon a study among Swedish farmers, it examines the nature of farmers' decision-making. The latter is based upon an adaptive rationality, as opposed to the normative models of formal rationality used by scientists. Essential to this rationality are coordination skills: the ability of farmers to arrange the many interacting factors important to the totality of a farm in a satisfactory way. What the farmer needs in this complex situation is personal communication and tacit knowledge, knowledge that cannot be reduced to facts and rules. Consequently computer-based information systems can be useful tools only in some aspects of farm management, but they will never replace farmer's decision-making. To understand the possibilities of the computer as a tool in farm management, a distinction between interpretation skills and application skills is necessary.     

The Effect of a Computerized Decision Aid on the Development of Knowledge

This study provides evidence on how the use of a computerized decision aid affects knowledge acquisition. While the intent of such computer-based decision aids is to improve and support unaided human judgments, it is unclear whether the use of the aids actually facilitate knowledge transfer. Seventy-six subjects completed a hypothetical decision task where one of two types of decision aids was used: an expert system or traditional textual materials. Results suggest that those using a computer-based decision aid acquired and encoded in memory less declarative knowledge than those using textual reference materials. Implications of the findings are discussed.     

A Formal Model for the Study of Communication Support Systems

The lack of conceptual frameworks available for integrating research on organizational computer-based communication technologies is documented. An integrated model for studying communication support phenomena in organizations is formalized from a knowledge management perspective using set-theoretic notation. Key constructs for understanding and exploring communication support systems are identified, such as knowledge workers, knowledge management activities, communicate-abilities, and knowledge management episodes. The implications associated with the identification and formalization of each of the foregoing constructs is discussed and further research avenues are explored. The model provides researchers and system developers with a means of studying both human and computer-based knowledge workers in organizations. Two types of communication support systems are defined.     

Information about expert decision and post‐decision distortion of facts of own decision

Cognitive representations of decision problems are dynamic. During and after a decision, evaluations and representations of facts change to support the decision made by a decision maker her‐ or himself (Svenson, 2003). We investigated post‐decision distortion of facts (consolidation). Participants were given vignettes with facts about two terminally ill patients, only one of whom could be given lifesaving surgery. In Study 1, contrary to the prediction, the results showed that facts were distorted after a decision both by participants who were responsible for the decisions themselves and when doctors had made the decision. In Study 2 we investigated the influence of knowledge about expert decisions on a participant's own decision and post‐decisional distortion of facts. Facts were significantly more distorted when the participant's decision agreed with an expert's decision than when the participant and expert decisions disagreed. The findings imply that knowledge about experts' decisions can distort memories of facts and therefore may obstruct rational analyses of earlier decisions. This is particularly important when a decision made by a person, who is assumed to be an expert, makes a decision that is biased or wrong.     

Consumer decision making and aging: Current knowledge and future directions

We review existing knowledge about older consumers and decision making. We develop a conceptual framework that incorporates the notion of fit between individual characteristics, task demands and the contextual environment. When the fit is high, older consumers use their considerable knowledge and experience to compensate for the impact of any age-related changes in abilities and resources. When the fit is relatively low, older consumers feel increased need to adapt their decision making processes. We discuss these consumer adaptations and propose a number of research questions related to the processes underlying them in order to contribute to a better understanding of how they can lead to more effective consumer decision making for older adults. We further consider some pragmatic implications of the adaptations for marketing management and public policy.     

The role of attitudes in memory-based decision making

Frequently, considerable knowledge of the attributes of decision alternatives is available in memory so as to permit a thoughtful and deliberate choice. However, in many instances, individuals neglect to use such knowledge and instead rely on "attitude-based" strategy to make a memory-based decision. The findings from two experiments suggest that as to the motivation to make a correct decision or the opportunity to use the available attribute knowledge decreases, the likelihood that attitudes will guide a memory-based decision increases. The findings illustrate the functional role attitudes play in guiding decisions and behavior. By providing a ready means of evaluating choice alternatives, attitudes enable an individual to make a decision relatively quickly and effortlessly.     

Age differences in financial decision making: The benefits of more experience and less negative emotions

The emerging literature on aging and decision making posits that decision‐making competence changes with age, as a result of age differences in various cognitive and noncognitive individual‐differences characteristics. In a national life‐span sample from the United Kingdom (N = 926), we examined age differences in financial decisions, including performance measures of sunk cost and credit card repayment decisions, and self‐report measures of money management and financial decision outcomes. Participants also completed four individual‐differences characteristics that have been proposed as relevant to financial decision making, including two cognitive ones (numeracy and experience‐based knowledge) and two noncognitive ones (negative emotions about financial decisions). First, we examined how age was related to the four financial decision‐making measures and the four individual‐differences characteristics. Older age was correlated to better scores on each of the four financial decision‐making measures, more experience‐based knowledge, less negative emotions about financial decisions, whereas numeracy and motivation were not significantly correlated with age. Second, we found that considering both the two cognitive and the two noncognitive individual‐differences characteristics increased predictions of financial decision making, as compared with considering either alone. Third, we examined how these four individual‐differences characteristics contributed to age differences in financial decision making. Older adults' higher levels of experience‐based knowledge and lower levels of negative emotions seemed to especially benefit their financial decision making. We discuss implications for theories on aging and decision making, as well as for interventions targeting financial decisions.     

Effectiveness of the GOFER course in decision making for high school students

The paper describes and evaluates the GOFER course in decision making for high school students (Mann, Harmoni and Power, 1988). The course was based on principles from the conflict theory of decision making (Janis and Mann, 1977) and was designed to provide adolescents with an understanding of factors that produce good and poor decision making as well as knowledge and practice of sound decision skills. Two evaluation studies were conducted to examine effectiveness of the course. Study 1 was conducted with young adolescents (12 year olds). It found a significant difference between students trained in the course and a control group on measures of self-esteem as a decision maker, self reported decision habits and knowledge of decision strategy. Study 2 was conducted with mid-adolescents (15 year olds). It, too, found a significant difference between students who took the course and a control group on measures of self esteem as a decision maker and self-reported decision habits. It is concluded that while the evaluation study fell short of an ideal test, the GOFER course met the criteria of improving student knowledge, raising confidence in decision making and changing self reported decision habits.     

Assessing decision strategies using HyperCard

The use of “process-tracing” techniques for examining individuals’ decision strategies has been criticized widely for yielding results that are uninformative and often confounded. The present paper describes a new technique based on a “structural” approach that allows efficient assessment of finely discriminated decision strategies via a HyperCard program called DECOUT. The program presents individuals with an information matrix (e.g., describing five alternative pesticides on three attributes). Individuals are asked to choose the best or the worst alternative in the matrix for 12 problems. Information in the matrix is constructed so that choice of an alternative by an individual is uniquely associated with use of one particular decision strategy. The strategies include information integration, maximin, maximax, pessimism-optimism, and minimax-regret processes. An experiment using the program is described, and possible directions for future research and development are discussed.     

Attending to multiple sources of information: I. The integration of information in decision making

Information relevant to a decision is often available from several sources, such as different sensory modalities or different spatial locations. Processing or utilization of such information is often selective in that some sources seem to have more influence on a decision or response than others. Many different theoretical mechanisms have been proposed to account for such selective (i.e., attentional) aspects of human information processing. This paper considers theoretical mechanisms which operate to integrate separate sources of information in order to make a binary decision. In particular, these mechanisms are studied in simple visual and auditory detection tasks as well as a Bayesian decision problem. Data from these experiments reject the idea that one integrates the relevant information from several sources prior to making a decision. Rather, one seems to form separate decisions about the information from each source and then integrate these decisions in order to select a response.     

Skills Evaluator: a multicriteria decision support system for the evaluation of qualifications and skills in Information and Communication Technologies

Employees need to acquire new qualifications throughout their lives in order to deal with the multiple changes in the labour market. This knowledge and competences (formally or non-formally acquired) must be identified and evaluated. For that reason, an integrated approach to the evaluation of Information and Communication Technology knowledge and skills is proposed. The multicriteria method that has been developed refers to professionals who wish to be accredited in a particular specialization through the evaluation of their professional experience, studies and vocational training. The aim of this paper is to present the multicriteria decision support system, Skills Evaluator, which brings into effect the aforementioned method. Copyright © 2007 John Wiley & Sons, Ltd.     

Aging, emotion, and health-related decision strategies: motivational manipulations can reduce age differences

According to socioemotional selectivity theory, age-related constraints on time horizons are associated with motivational changes that increasingly favor goals related to emotional well-being. Such changes have implications for emotionally taxing tasks such as making decisions, especially when decisions require consideration of unpleasant information. This study examined age differences in information acquisition and recall in the health care realm. Using computer-based decision scenarios, 60 older and 60 young adults reviewed choice criteria that contained positive, negative, and neutral information about different physicians and health care plans. As predicted, older adults reviewed and recalled a greater proportion of positive than of negative information compared with young adults. Age differences were eliminated when motivational manipulations elicited information-gathering goals or when time perspective was controlled statistically. Implications for improving decision strategies in older adults are discussed.     

An outcomes model of medical decision making

In the traditional fix-it model of medical decision making, the identified problem is typically characterized by a diagnosis that indicates a deviation from normalcy. When a medical problem is multifaceted and the available interventions are only partially effective, a broader vision of the health care endeavor is needed. What matters to the patient, and what should matter to the practitioner, is the patient's future possibilities. More specifically, what is important is the character of the alternative futures that the patient could have and choosing among them so as to achieve the best future possible, with the ranking of outcomes determined by the patient's preferences. This paper describes the fix-it model, presents and defends the outcomes-based model, and demonstrates that the latter is useful in developing normative conceptions of informed consent and decision making and in establishing a basis for societal involvement in the decision making process. Finally, several shortcomings of the model will be acknowledged.     

Key characteristics of decision making in soccer and their implications

This paper puts forward the position that the cognitivist approach adopted in research on decision making in team sports leads to a disconnection from the actual environment of play. The argument is structured as a narrative review of 60 articles that were analyzed to identify the most recent concepts related to the following topics or combinations thereof: tactics and action in the play; decision making and associated cognitive mechanisms and skills; and the teaching–learning–training process. The results of the review led us to characterize decision making in the team sports context as being (a) “prereflected,” (b) based on evaluation, (c) frugal, and (d) “generated,” as opposed to being a process of choosing from alternatives. In addition to showing clear adjustments to the environment of play, the four characteristics imply that teaching, learning, and training to play should also be designed according to the restrictions imposed by the context and the actual lived experience of the play. We conclude that cognition should not be considered solely responsible for decisions, and thus both theoretical and pedagogical models of player development should take the ecological perspective of decision making into account. As a result, the methodologies employed to develop players from an early age could be elaborated on by taking into account the interaction between cognitive skills and the possibilities emerging in the play.     

Legal aspects of decision-enhancing technologies

As advances in computer-based systems (CBS) have continued, development problems can occur which can adversely affect systems developers and users of these technologies, especially those designed to improve or affect decision making. One major difficulty concerns the legal liability that can occur as a result of defective or flawed systems development efforts. This article discusses several types of decision-enhancing technologies and how problems associated with the adequacy of testing of system design and appropriateness of warnings and directions/instructions dealing with CBS could adversely affect CBS developers from a legal perspective. Several propositions and suggested research perspectives are also presented. He received his Ph.D. in computer information systems from Arizona State University. His research interests include the impact on organizations and individuals of information systems and the potential legal liability to systems developers brought about by defective computer-based systems. His research has appeared inMIS Quarterly, Information & Management, AI Expert, AI & Society, Educational andPsychological Measurement andInformation Resources Management Journal. Kathleen Mykytyn is a consultant and research specializing in the impact of information systems and technologies on individuals and organizations. Her research has been published inMIS Quarterly, AI & Society, AI Expert, andInformation & Management.     

Information search and decision making: The effects of information displays

Information display boards may be used to test assumptions about underlying cognitive processes in decision situations. However, the question may be raised whether information processing in a complex decision situation is indepemdent of the structure of the information display board used. In a study employing 96 subjects, the design of the information display board, the number of alternatives, and the number of attributes were varied. Twelve groups of eight subjects were presented with one hypothetical choice among riskless multiattribute decision alternatives (apartments). Results showed that information search patterns were not influenced by the design of the information display board, but that the relative number of attributes included in the decision process was. The number of available attributes appeared to be the strongest determinant of information search patterns. A higher number of attributes induced information search patterns consistent with the noncompensatory conjunctive decision rule. It is suggested that the decision situation employed, which forced the decision maker to remember each piece of information acquired, underlies the difference between the results in the present study and previous findings.     

Providing an analytic structure for key system design choices

The design of a system, especially a system architecture, requires the balancing of multiple performance parameters with the system cost and other implementation issues. Multi-attribute utility theory provides a structured, coherent framework for conducting an analysis in which system designs are evaluated on multiple performance parameters. This paper describes the application of multi-attribute utility analysis to the design of the Worldwide Digital Signal Systems Architecture (WWDSA), a telecommunications system, by the United States' Defense Communications Agency (now called the Defense Information Systems Agency). The advantages of using multi-attribute utility theory during the system design are highlighted. In addition, we discuss several key analytical issues that led to this application being a success in the eyes of the decision makers.     

Instance‐based learning in dynamic decision making

This paper presents a learning theory pertinent to dynamic decision making (DDM) called instancebased learning theory (IBLT). IBLT proposes five learning mechanisms in the context of a decision‐making process: instance‐based knowledge, recognition‐based retrieval, adaptive strategies, necessity‐based choice, and feedback updates. IBLT suggests in DDM people learn with the accumulation and refinement of instances, containing the decision‐making situation, action, and utility of decisions. As decision makers interact with a dynamic task, they recognize a situation according to its similarity to past instances, adapt their judgment strategies from heuristic‐based to instance‐based, and refine the accumulated knowledge according to feedback on the result of their actions. The IBLT's learning mechanisms have been implemented in an ACT‐R cognitive model. Through a series of experiments, this paper shows how the IBLT's learning mechanisms closely approximate the relative trend magnitude and performance of human data. Although the cognitive model is bounded within the context of a dynamic task, the IBLT is a general theory of decision making applicable to other dynamic environments.