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Executive information systems represent a significant departure from traditional computer-based information systems. Advocates of executive systems claim that their systems offer the leading-edge option for making computers truly effective for supporting key management functions. This paper examines the interaction between key characteristics of executive systems and fundamental features of human thinking drawn from the field of Behavioral Decision Theory. We examine the possibility that the operation of these systems may reinforce or intensify certain biases in human information processing. We present three examples of potential bias-intensification: availability, regression effects, and overconfidence. Next, the paper applies the concept of decisional guidance to develop design implications for executive systems. Lastly, the paper offers avenues for theoretical development and empirical research.

This paper studies how audience members categorize and evaluate ambiguous offerings. Depending on whether audience members categorize ambiguous offerings based on prototypes or goals, they activate two distinct cognitive mechanisms and evaluate differently ambiguous offerings. We expect that when audiences engage in goal- versus prototype-based categorization, their evaluation of ambiguous products increases. We theorize that, under goal-based categorization, the perceived utility of unclear attributes increases for audiences, which leads them to evaluate more positively ambiguous product offerings. We test and find support for these direct and mediated relationships through a series of laboratory, online, and field experiments. Overall, this study offers important implications for research on product and market categories, optimal distinctiveness, and market agents’ cognitive ascription of value.

International audience; The paper proposes a novel point-wise entropy approach to measure the time-varying losses in the value of information that investors associate with market signals, financial and economic indicators, and news. We cast our approach in a Bayesian framework and assume that market agents update their beliefs to incoming signals based on a prior information set. By exploiting the distribution rather than the time-series properties of information signals, our method is able to construct univariate signal-specific, but also composite proxies of information loss, with the latter being more efficient in reducing misleading effects and interpretation errors. As an empirical illustration, we construct information loss proxies for the US equity market from several mainstream information signals and find that the majority of information loss indicators can influence investors’ attention, which then intermediates the impact of information signals on market outcomes. Finally, we show that, by relying on composites rather than univariate proxies, market agents can diversify and thus reduce their information losses when interpreting signals associated with the same underlying event.

Product categories are more than classification devices that organize markets; when reflecting market actors' purposes, they are also judgment devices. Taking stock of the literature on product categories and drawing on the distinction between the faculties of knowing and judging, we elaborate a framework that accounts for how and why market actors include or exclude normative attributes in a product category definition. Based on a field study of the development of socially responsible investment (SRI) funds in France, we describe the phases and conditions of a judgment framework for category definition for both established and nascent categories. We discuss implications for research on product categories and the workings of markets more broadly.

We study retirement incentives with an augmented reduced form option value model à la Stock and Wise (1990). We propose methodological extensions to better reflect the respective incentives faced by singles and couples. Our results show that a more comprehensive modeling of couples’ incentives leads to very different patterns of retirement incentives – particularly for women. We apply the new indicators to data from the Survey of Health, Ageing and retirement in Europe in Belgium and find two key results. First, contrary to several previous studies, we obtain a positive signed income effects. Second, we find very different retirement incentives for men and women, with little flexibility in the retirement decision for men and substantially more flexibility for women as a function of financial incentive and household composition.