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This study seeks to examine, from the viewpoint of 12 adult fiction readers who are members of book clubs, how they go about selecting fiction books to borrow from the public library.

Each participant took part in an individual, semi‐structured, face‐to‐face interview. Using Williamson's Ecological Model of Information Seeking and Use as the conceptual framework, the study examined the role that fiction readers' “internal environments” and “external contexts” played in their book choices.

The selection of fiction books at the public library occurred, to a large extent, outside it. Fiction books were selected as part of everyday life information seeking, influenced by study participants' personal characteristics and circumstances as well as sources from their everyday lives, which typically included family, friends, book club and the mass media. While the public library was the main means by which study participants obtained their fiction books, it was not the first source to which they turned for ideas on what to read.

The study moves from a preoccupation of readers' actions at the public library to examine, more holistically, how everyday life information sources influence their choices of fiction books at the public library. It highlights the purposive and serendipitous dimensions of book selections and also underscores the importance of recognizing trust as a determining factor in book selection.

Information transparency is crucially important in price setting in real estate, particularly when information asymmetry is concerned. This paper aims to examine how a change in government policy in relation to information disclosure and transparency impacts residential real estate price discovery. Specially, this paper investigates how real estate traders determined asking prices in the context of the Scottish housing market before and after the implementation of the Home Report, which aimed to prevent artificially low asking prices.

This paper uses spatial lag hedonic pricing models to empirically observe how residential asking prices are determined by property sellers in response to a change in government policy that is designed to enhance market transparency. It uses over 79,000 transaction data of the Aberdeen residential market for the period of Q2 1998 to Q2 2013 to test the models.

The empirical findings provide some novel insights in relation to the price determination within the residential market in Scotland. The spatial lag models suggest that spatial autocorrelation in property prices has increased since the Home Report came into effect, indicating that property sellers have become more prone to infer asking prices based on prior sales of dwellings in close vicinity. The once-common practice of setting artificially low asking prices seems to have dwindled to a certain extent statistically.

The importance of understanding the relationship between information transparency and property price determination has gathered momentum over the past decade. Although spatial hedonic techniques have been extensively used to study the impact of various property- and neighbourhood-specific attributes on residential real estate market in general, surprisingly little is known about the empirical relationship between spatial autocorrelation in real estate prices and information transparency.

Online shopping has recently been evolving more toward the subject area of collaborative online shopping (COS), and customer satisfaction is one of the key determinants for the success of COS. In this study, we investigate the effect of product type and gender and their interaction with customer satisfaction through user involvement in a collaborative online shopping context.

We developed a lab experiment with a mixed two-by-two factorial design to test the proposed research model. We chose gender (male versus female) as the between-subjects factor and product type (utilitarian product versus hedonic product) as the within-subjects factor.

The obtained results indicate that collaborative shopping may require group members to be more involved for a hedonic product than a utilitarian product. When collaboratively shopping for utilitarian products, male groups tend to show a higher level of involvement than female groups. In contrast, female groups show a higher level of involvement than male groups when collaboratively shopping for hedonic products. Furthermore, our results indicate that greater involvement in COS may lead to higher satisfaction.

Websites that sell hedonic products should first adopt the design elements that support COS. Meanwhile, online sellers should be aware that the gender gap still exists as online shopping evolves toward social online shopping. In addition, COS websites should provide more design elements (e.g. co-browsing, avatar embodiment, video chat and voting tools) to stimulate user involvement.

In this paper, we employ the theory of consumption values, which decomposes COS value into the utilitarian and hedonic dimensions, as a theoretical foundation to investigate the effect of product type and gender together as well as their interactions in the COS context. The obtained findings may provide various insights and empirical evidence to improve the understanding of how to target male and female customers across different product types in the COS context.

Decision making is inherently stressful since the decision maker must choose between potentially conflicting alternatives with unique hazards and uncertain outcomes. Whereas decision aids such as decision support systems (DSS) can be beneficial in stressful scenarios, decision makers sometimes misuse them during decision making, leading to suboptimal outcomes. The purpose of this paper is to investigate the relationship between stress, decision making and decision aid use.

The authors conduct an extensive multi-disciplinary review of decision making and DSS use through the lens of stress and examine how stress, as perceived by decision makers, impacts their use or misuse of DSS even when such aids can improve decision quality. Research questions examine underlying sources of stress in managerial decision making that influence decision quality, relationships between a decision maker’s perception of stress, DSS use/misuse, and decision quality, and implications for research and practice on DSS design and capabilities.

The study presents a conceptual model that provides an integrative behavioral view of the impact of a decision maker’s perceived stress on their use of a DSS and the quality of their decisions. The authors identify critical knowledge gaps and propose a research agenda to improve decision quality and use of DSS by considering a decision maker’s perceived stress.

This study provides a previously unexplored view of DSS use and misuse as shaped by the decision and job stress experienced by decision makers. Through the application of four theories, the review and its findings highlight key design principles that can mitigate the negative effects of stressors on DSS use.