A Low-Effort Recommendation System with High Accuracy

In recent studies on recommendation systems, the choice-based conjoint analysis has been suggested as a method for measuring consumer preferences. This approach achieves high recommendation accuracy and does not suffer from the start-up problem because it is also applicable for recommendations for new consumers or of new products. However, this method requires massive consumer input, which causes consumer reluctance. In a simulation study, we demonstrate the high accuracy, but also the high user’s effort for using a utility-based recommendation system using a choice-based conjoint analysis with hierarchical Bayes estimation. In order to reduce the conflict between consumer effort and recommendation accuracy, we develop a novel approach that only shows Pareto-efficient alternatives and ranks them according to the number of dominated attributes. We demonstrate that, in terms of the decision accuracy of the recommended products, the ranked Pareto-front approach performs better than a recommendation system that employs choice-based conjoint analysis. Furthermore, the consumer’s effort is kept low and comparable to that of simple systems that require little consumer input.     

Decision delegation: A conceptualization and empirical investigation

This paper examines a purchase context in which consumers, instead of deciding on their own, delegate either a part of or the entire purchase decision to a surrogate. A path model linking the antecedent variables and delegation is tested in the context of personal computer purchases. It was found that the factors that ensure decision quality emanating from the surrogate's expertise differentials, trustworthiness, accountability, and willingness to customize increase the likelihood of decision delegation. In addition to its direct positive effect on delegation, trustworthiness mediates the effect of expertise difference, surrogate accountability, and customization on delegation. Perceived loss of control inhibits delegation, but only at the stage when the final choice decision is made. Also, if a decision task is repeatable, the high return on effort has a negative effect on delegation, but only at attribute set and choice set delegations. Contributions of the study and directions for future research are discussed. © 2008 Wiley Periodicals, Inc.     

The Role of Decision Importance and the Salience of Alternatives in Determining the Consistency between Consumers' Attitudes and Decisions

This research examines how the importance of a consumer decision influences attitude-decision consistency and choice in decision contexts that contain versus do not contain specified alternatives. Results demonstrate that decision importance moderates attitude-decision consistency when alternatives are not specified, but not when alternatives are specified. These results, in conjunction with the time participants devote to choice, suggest that importance plays a larger role in attitude-decision consistency when alternatives are unspecified versus specified because importance leads to greater effort in generation of alternatives when alternatives are unspecified (an unnecessary task when alternatives are specified in context). Implications for promotion are discussed.     

Enhancing Consumer Choice: Are We Making Appropriate Recommendations?

To reduce information search costs, consumers often use choice-making aids. If these aids are to help consumers make choices consistent with their own preferences, as well as reduce search effort, they must be based on choke models consistent with consumers' true preference sets. This study used conjoint analysis to identify these ideal choice models. Thirty-six percent of the subjects were found to use compensatory choice models and 64 percent noncompensatory models. The results suggest a need to base choice-making aids on ideal choice models if the aid is to lead consumers to decisions consistent with true preferences.     

Consumer Decision Making Regarding a “Green” Everyday Product

One of the techniques marketers use to convert low‐involvement products into high‐involvement ones is adding an important product feature. A case in point is the common practice of adding a “green” or environmentally friendly product feature to an everyday product, something which is often assumed to elevate consumer involvement in the choice of the product. However, there is a lack of research investigating whether adding such a “green” product attribute actually makes any difference to how consumers make choices. Does the way in which consumers make decisions about groceries change when both “green” and conventional alternatives are available? Does it make them deliberate more or do they just develop another, simple choice heuristic? Based on observation and follow‐up interviews of consumers at the milk counter in two supermarkets which stock both organic (a “green” attribute) and conventional milk, it is concluded that, rather than changing the way consumers make decisions when buying this type of product, the availability of a “green” alternative seems to make “green” consumers develop a new, simple choice heuristic that allows them to do their shopping as effortless and time‐efficient as consumers buying conventional products.     

When and why attribute sorting affects attribute weights in decision-making

Information about alternatives often appears in a multi-option multi-attribute table, with the alternatives hierarchically sorted on attribute levels. This research shows that the choice of the primary sorting attribute can affect peoples' evaluations. Three studies show that the attribute on which options are primarily sorted becomes more important in preference formation, but only if this attribute is hard to evaluate. This sorting effect disappears if attribute level evaluation is rendered easier. Eye-movement data further show that the time to evaluate a given attribute level, a proxy for evaluation effort, mediates the effect of choice of sorting attribute on attribute weight in option evaluation.     

Retailers’ Merchandise Organization and Price Perceptions

Retailers’ presentation of merchandise to consumers is often organized by brand or by price to facilitate comparison and processing of competitive information. While such organization of product information is presumed to assist consumer decision-making, we suggest that sorting of alternatives on brand names strain cognitive resources more than a price sort, leading to differences in sensitivity to prices for a target product accompanying these two sorts. We conduct three studies to examine this issue and find that sorting of alternatives interacts with consumers’ motivation and influences price perceptions. Our results add nuance to the findings from previous studies examining how assortment affects consumers’ price sensitivity, and suggest that retailers whose appeal is not primarily price-based could benefit by presenting merchandise information sorted by brand name so as to increase perceptions of quality and value.     

Promoting Interactive Decision Aids on Retail Websites: A Message Framing Perspective with New versus Traditional Focal Actions

Online retailers significantly benefit when consumers use interactive decision aids (IDAs). In this study, we investigate how to best design messages that promote IDA use. Using an extended message framing perspective, we propose that messages about consumers’ traditional action (searching) increase usage intentions more than messages about the new action (IDA use). Results from two experiments confirm that this holds across both high and low involvement categories and in particular when the traditional action frame is combined with a loss outcome. We also demonstrate that familiarity with the message's focal action mediates this effect.     

Material Distortion of Economic Behaviour and Everyday Decision Quality

Misleading information and unfair commercial practices have to be viewed against the background of what consumers otherwise do, i.e., what their purchase decisions look like when no misleading information or no unfair commercial practices are in place. This article provides some of this background by studying how consumers sample information when making an in-store purchase decision. This was done by an eye-tracking study which reveals to what extent consumers succeed in purchasing the products that best meet their purchase intentions when only a representative amount of misleading information is present. The study shows that decisions were suboptimal in relation to what the consumers claimed they wanted to purchase. Only in one product category did consumers in this study actually look at products that were slightly better than average, and as a result, they mainly selected products that were just as often poor as good. If the proportion of bad purchase decisions based on misleading information is small enough, perhaps it might be better to direct the authors’ attention to other ways of improving the decision environments that consumers encounter. In addition, the eye-tracking study provides some insight into how consumers sample information when making an in-store purchase decision. The present data show that consumers invested on average of less than 1 s to look at products.     

Combined influence of selective focus and decision involvement on attitude–behavior consistency in a context of memory‐based decision making

Marketers often use salient stimuli to draw consumers' attention to a specific brand in the hope that a selective focus on the brand increases the sales of this brand. However, previous studies are inconsistent concerning the impact that selectively focusing on a specific brand has on final brand choice. To offer an explanation for these inconsistent results, this paper introduces decision involvement as a moderator of the relation between selective focus and attitude–decision consistency. Two studies indicate that selectively focusing on a not preferred alternative indeed alters choice decisions, but only when decision involvement is low. Study 1 further shows that this interaction effect between selective focus and involvement takes place in the selection rather than the brand consideration stage. By introducing level of processing along with decision involvement, Study 2 shows that the interaction effect emerges even in limited processing conditions. The study also reconciles different explanations for the negative effect of selective focus on attitude–behavior consistency. Selectively focusing on a not preferred choice option when consumers are low involved and use limited processing seems to lead to inconsistent choices because of an increased accessibility of the focal option, whereas selective focus on a not preferred option when consumers are low involved and use deep processing lead to inconsistent choices because of attitude polarization. © 2011 Wiley Periodicals, Inc.     

Food choice: student consumers' decision‐making process regarding food products with limited label information

Food label information theoretically facilitates consumer decision‐making and food choice, but the extent to which consumers actually use this information during decision‐making is a subject of considerable debate. Therefore, this study focused on the importance of label information in student consumers' decision‐making process when exposed to limited label information food in a cafeteria environment. Because of a paucity of research in this area, a qualitative research approach that was exploratory in nature was used, accompanied by semi‐structured interviewing and a vignette. Undergraduate students from the North‐West University, Potchefstroom Campus, in South Africa served as the target population. The findings suggest that internal and product‐related strategies are applied when food choices are made whereby the importance of label information only features in the latter strategy. Student consumers with a label interest were more inclined to use label information strategies in the absence of complete label information to base food choice on. Those with a lack of label interest made use of alternative strategies using product and personal‐related information, such as freshness and product knowledge to make decisions. The decision‐making process was more complex because of insufficient label information and product appearance, and thus previous experiences and habitual purchasing became more important to participants. Student consumers should be supported to make healthier food choices through food manufacturers supplying cafeteria products with more complete label information and by providing students with the knowledge to use label information correctly through educational programmes.     

Making choices under conflict: The impact of decision frames

How do people make choices when they see two equally positive versus two equally negative decision alternatives? The cancel-and-focus hypothesis argues that when people see options in a sequence, they tend to overweight the unique attributes of the first alternative. This leads to the prediction that when both options are positive (approach–approach conflict), the first option is preferred more but that if they are both negative (avoidance-avoidance conflict), the first option is preferred less. Based on recent research, we argue that this finding may be contingent on an unrecognized compatibility confound with the decision frame of choosing versus rejecting. In this research, we argue that the choice biases predicted by the cancel-and-focus hypothesis will be more pronounced when the decision frame (choose/reject) is incompatible with the valence of the alternatives (reject–positive and choose–negative) because such incompatibility increases processing motivation. We report two studies with varying operationalizations of decision conflict which find that cancel-and-focus effects are more pronounced under incompatibility. Taken together, these findings suggest that conflict effects are better understood by accounting for the decision frame as well.     

Using the Analytic Hierarchy Process as a Two-phase Integrated Decision Approach for Large Nominal Groups

When decision makers who comprise a large nominal group face an unstructured decision problem and no simultaneous interactive communications are available, problem identification and consensus building are difficult, if not impossible. Few tools are available to assist decision makers in this situation. The Analytic Hierarchy Process (AHP) has typically been used to evaluate a set of alternatives after a decision problem has been structured as a hierarchy with various levels of criteria above the alternatives. With a group of decision makers, AHP has been used to evaluate those alternatives either by consensus building or by combining judgments or priorities using the geometric mean to aggregate their preferences. In this paper, we extend the use of AHP to a situation involving a large nominal group of dispersed decision makers where the entire hierarchy is not defined at the outset. In particular, we use the AHP as an integrative approach to identify the priorities of the various criteria and then use those priorities to screen and consolidate a large set of potential alternatives. This results in considering a reduced set of alternatives that will be affected by the more important criteria. The consolidated set of alternatives is evaluated by each individual in the group using AHP, combined using the geometric mean, and the results are synthesized to obtain the overall priorities of the alternatives. The approach is demonstrated and evaluated in a case study to select an alunmi anniversary gift to the U.S. Coast Guard Academy with a large nominal group of decision-makers dispersed throughout the United States.     

A purchase decision support model considering consumer personalization about aspirations and risk attitudes

Ranking alternative products to help consumers make better purchase choices is a valuable research topic. Most previous decision support models cannot be well applied to heterogeneous consumers. This paper focuses on establishing a personalized interactive model to assist consumers make better buying decisions with less effort. For the alternative products provided by consumers, we collect online reviews and parameter configurations of alternative products and then obtain the fusing evaluative information. As consumers are dominated by bounded rationality, they only provide partially key attribute weights, based on which, we construct an optimizing model to obtain the optimal attribute weights of customers for products. Then, a satisfaction function is proposed by uniting aspiration levels and risk attitudes of consumers and a compensatory decision rules is established to rank and recommend the brands to consumers. Finally, practicability of this study is illustrated with a real car purchase case. Through the case study, it can be seen that the proposed decision support model generates a personalized list of alternatives based on consumer's own utility function about risk attitudes, aspiration levels, and preferences for product attributes, which further confirms that the proposed model can capture the personalized needs of consumers. Theoretical and managerial implications of this model as well as advantages are further illustrated.     

Strategic Decision Making: from Crisis to Opportunity

Managers can perceive and categorise problems as crisis, threat, familiar everyday nuisance or even opportunity. This article focuses on the extent to which this categorisation determines the process the organisation goes through in tackling the problem. Using the case history of a big externally-triggered decision in a chemical company to illustrate these distinctions, the authors show that the characteristics of the processes can vary a lot according to how the problem is perceived: and across many dimensions – procedural rationality, generation of alternatives, politicisation, timing and lateral and horizontal communication. They argue that top managers should not only pay particular attention to the manner in which strategic issues are perceived and labelled within the company and its systems, but even in some circumstances should 'manipulate' the information provided from external or internal systems. The case described here also illustrates the crucial role of middle managers in providing expertise and information during the making of strategic decisions. Finally, it points to ways in which management teams can avoid destructive conflict and engage in constructive conflict.     

Selecting Pesticides and Nonchemical Alternatives: Green Thumbs' Rules of Thumb Decision Tools

This study of a sample of home gardeners indicates that rules of thumb, or heuristics, are used to select between chemical pesticides and nonchemical alternatives. Such rules of thumb serve to simplify otherwise complicated choice decisions. Heuristics commonly used to choose pesticides include how safe, effective, efficacious, and economical they are, whereas for alternative products consumers more often take into account convenience, efficiency, competency, and handiness. Generally, in an overall ranking of 24 individual choice attributes, pesticies rank low on these attributes where alternatives rank high and vice versa. Gender, age, and years using pesticides are significantly correlated with pesticide selection.     

Selection of a Representative Value Function for Robust Ordinal Regression in Group Decision Making

In this paper, we introduce the concept of a representative value function in a group decision context. We extend recently proposed methods UTA^GMS-GROUP and UTADIS^GMS-GROUP with selection of a compromise and collective preference model which aggregates preferences of several decision makers (DMs) and represents all instances of preference models compatible with preference information elicited from DMs. The representative value function is built on results of robust ordinal regression, so its representativeness can be interpreted in terms of robustness concern. We propose a few procedures designed for multiple criteria ranking, choice, and sorting problems. The use of these procedures is conditioned by both satisfying different degrees of consistency of the preference information provided by all DMs, as well as by some properties of particular decision making situations. The representative value function is intended to help the DMs to understand the robust results, and to provide them with a compromise result in case of conflict between the DMs.     

Dazing Diversity: Investigating the Determinants and Consequences of Decision Paralysis

This article makes new contributions to the assessment of negative effects on consumer choice behavior due to high product variety by (1) developing a holistic framework to identify the determinants and, for the first time, consequences of decision paralysis; (2) introducing a novel construct, namely, tendencies toward paralysis, that refers to the extent of decision makers’ preference (a) to maintain the status quo, (b) to omit, and/or (c) to delay choice, as well as providing an appropriate measurement model incorporating these three dimensions of decision paralysis that previously have been analyzed only separately; and (3) analyzing potential moderating effects of decision makers’ predisposition toward maximizing on the proposed model. The developed structural equation model as well as the conceptualization and operationalization of the novel construct are verified using data from the German cellular phone market. The model constructs of preference uncertainty and anticipated regret are evidenced to be the fundamental drivers of the formation of tendencies toward paralysis. In this context, the characteristics of variety under consideration—number, alignability, and complexity of alternatives—turn out to be appropriate parameters in avoiding decision paralysis. Moreover, a significant negative relationship between tendencies toward paralysis and subsequent customer satisfaction points out the importance of these findings for future research and business practice.     

Increasing choice satisfaction through goal-based labeling

Business practitioners increasingly seem to believe in the power of goal-based labels (i.e., labels that link assortment items to consumption goals). While previous literature has focused on feature-based approaches to increase choice satisfaction, we introduce goal-based labeling as a consumer-based approach to increase choice satisfaction. Since goal-based labels (e.g., a ??Family Trip?? camera versus a ??Professional?? camera) relate choice alternatives directly to consumption goals, they allow consumers to bypass translating product attributes into goal attainment. Quantitative and qualitative results of an experimental study indicate that novice consumers, but not experts, benefit from goal-based labeling in multiple ways. Novice consumers use goal-based labels as an important cue in their decision making. This can significantly increase their chances at making an optimal choice. Choosing from a goal-based labeled assortment also has a positive effect on the choice satisfaction of novices. Mediation analyses show that a decrease in the choice uncertainty drives the positive effect of goal-based labeling on choice satisfaction. Novices apparently do not blindly follow the labels that are provided but try to understand the link between labels and attributes. Hence, among novices, inaccurately labeled assortments not only result in suboptimal choice but also in higher uncertainty and lower satisfaction. For experts, goal-based labeling is largely irrelevant, as it does not have an effect on their choice satisfaction, nor on their likelihood to make an optimal choice.     

Antecedents and Implications of Expiration Date Search Effort

When consumers search for and check expiration dates, the risk of purchasing and consuming a stale and denigrated quality product reduces. Since checking expiration dates has a significant impact on consumers' purchase and consumption decision making, the authors investigate what motivates consumers to search for expiration dates while shopping for and before consuming perishable grocery products. This research adapts and extends the information search model (Schmidt and Spreng 1996) by providing new insight on information search as not only a prepurchase but also a consumption stage activity. Findings suggest that expiration date search effort is influenced by perceived risk, time pressure while grocery shopping, and the motivation of checking expiration dates. These findings provide several implications for consumers and policymakers.