Random regret minimization for consumer choice modeling: Assessment of empirical evidence

This paper introduces to the field of marketing a regret-based discrete choice model for the analysis of multi-attribute consumer choices from multinomial choice sets. This random regret minimization (RRM) model, which has recently been introduced in the field of transport, forms a regret-based counterpart of the canonical random utility maximization (RUM) paradigm. This paper assesses empirical results based on 43 comparisons reported in peer-reviewed journal articles and book chapters, with the aim of finding out to what extent, when, and how RRM can form a viable addition to the consumer choice modeler's toolkit. The paper shows that RRM and hybrid RRM–RUM models outperform RUM counterparts in a majority of cases, in terms of model fit and predictive ability. Although differences in performance are quite small, the two paradigms often result in markedly different managerial implications due to considerable differences in, for example, market share forecasts.     

Sexual Selection and Economic Positioning

Synopsis In their recent survey of Darwinian aesthetics, Grammer et al. (2003) note the surprising lack of a connection between studies related to human beauty and the theory of sexual selection. Understanding this missing link sheds new light on recent research that indicates positional concerns Pingle & Mitchell 2002, Solnick & Hemenway 1998, are important factors in the decision-making process. Integrating the theory of sexual selection into the decision framework found in economics makes it possible to explain why individuals are potentially willing to accept less, as long as it places them in a superior position relative to others.     

Understanding tourist space at a historic site through space syntax analysis: The case of Gulangyu,China

Although tourist development appears to be an effective approach for the further development of historic towns, researchers have often contended that a balance is difficult to maintain between protection and development. This article applies space syntax analysis to provide an understanding of tourist space at historic sites on Gulangyu Island. The relationship between street network integration and the urban fabric as well as tourist preferences collated from data mining are explored and verified. Then, results of the space syntax analysis along with the proposed historic site plan are compared to provide suggestions in plan evaluation. This research provides a visualized and quantitative approach to the field of tourist management via the application of Geographic Information System (GIS) to urban morphological features, tourist preferences and results gathered by way of planning practice. The effectiveness and limitations of this proposed new approach are also debated and substantiated.     

Effects of Label on Consumer Preferences: Focus on Hawaiian Avocado Industry

This study examines market challenges facing a local agriculture industry in a small island setting. Examination of the Hawai‘i local avocado industry indicates labeling can address the product information gap between consumers and producers, improve market share, and increase import substitution by local products. Currently, local avocados occupy only 33% of market share, compared with 67% captured by imports. Consumer preferences among local labeled, local unlabeled, and imported avocados were analyzed using multinomial logistic regression. Statistical results showed that labels influence consumers’ decisions to buy local or imported avocados, and their preferences were also influenced by sociodemographic variables, avocado characteristics, and purchasing behavior. Key market segments to target and policy implications are also discussed.     

Motivations to grow energy crops: the role of crop and contract attributes

Perennial energy crops are a promising source of bioenergy whose production involves production risks, long‐term commitment of land and need for crop‐specific investments without the coverage of crop insurance potentially available for conventional crops. We conduct a choice experiment in five states in the Midwestern and South‐central regions of the U.S. to examine the effect of crop‐contract attributes on the joint discrete‐continuous choice decisions to adopt an energy crop and convert acres to it from a status quo use, while controlling for the effect of various farmers’ risk and time preferences, sociodemographic characteristics, and availability of crop insurance for conventional crops. We find robust evidence that high discount rates, high upfront establishment costs and need for crop‐specific investments create disincentives for adoption and allocation of land to energy crop production. The effects of riskiness of returns and risk aversion are less robust across specifications. The effect of conventional crop insurance on the energy crop adoption decision differs across types of insurance; in particular, farmers with revenue insurance are statistically significantly less likely to adopt an energy crop. Our results have implications for the design of effective contracts and policy incentives to induce the production of energy crops.     

Equilibria in large economies with a separable Banach commodity space and non-ordered preferences

The purpose of this paper is to provide an existence result of equilibria for economies with a measure space of agents, a non-trivial production sector and an infinite dimensional commodity space. The commodity space is modeled by an ordered separable Banach space whose positive cone has a non-empty interior. The discretization approach proposed in this paper, allows us to extend the existence results in Khan and Yannelis [Equilibrium in markets with a continuum of agents and commodities. In: Khan, M.A., Yannelis, N.C. (Eds.), Equilibrium Theory in Infinite Dimensional Spaces. Springer, Berlin, 1991] and Podczeck [Economic Theory 9 (1997) 585] to economies with a non-trivial production sector and with possibly non-ordered but convex preferences as well as partially ordered (possibly incomplete) but non-convex preferences.     

Design of Digital Agricultural Extension Tools: Perspectives from Extension Agents in Nigeria

Given the marked heterogeneous conditions in smallholder agriculture in Sub-Saharan Africa, there is a growing policy interest in site-specific extension advice and the use of digital extension tools to provide site-specific information. Empirical ex-ante studies on the design of digital extension tools and their use are rare. Using data from a choice experiment in Nigeria, we elicit and analyze the preferences of extension agents for major design features of ICT-enabled decision support tools (DSTs) aimed at site-specific nutrient management extension advice. We estimate different models, including mixed logit, latent class and attribute non-attendance models. We find that extension agents are generally willing to use such DSTs and prefer a DST with a more user-friendly interface that requires less time to generate results. We also find that preferences are heterogeneous: some extension agents care more about the effectiveness-related features of DSTs, such as information accuracy and level of detail, while others prioritise practical features, such as tool platform, language and interface ease-of-use. Recognising and accommodating such preference differences may facilitate the adoption of DSTs by extension agents and thus enhance the scope for such tools to impact the agricultural production decisions of farmers.     

Analysis of Consumer Preferences for Quality and Safety Attributes in Artisanal Fruit Juices in Kenya

This study used choice experiment survey data from a random sample of 374 respondents to analyze consumer preferences for quality and safety attributes of artisanal fruit juices in Kenya. Results show that consumers had a positive and significant preference for single fruit juices compared to fruit mixtures, private rather than public inspection of the juices, traceability of fruit origin, and vendor’s health. Additives such as colorants, flavors, and preservatives were not preferred. Consumers were willing to pay premiums of up to 200% for artisanal juices that contain single fruits, lack additives, and are inspected by private agencies. These insights should be incorporated in ensuring that artisanal fruit juice designs comply with food quality and safety requirements. Further, there is a need to license and regulate the artisanal juice preparation and handling and to provide training to the handlers on safety and quality requirements.     

Equilibrium prices in a random exchange economy with dependent agents

Summary. This paper presents a model of a Walrasian exchange economy in which the preferences and endowments of the agents are random. Stochastic interaction among the agents is formally described in terms of dependency neighborhoods. The main result is a characterization of the distribution of market-clearing prices in a large economy. Received: April 23, 1999; revised version: May 6, 1999     

Estimating Value Creation from Revealed Preferences: Application to Value‐based Strategies

Research summary : We develop and apply a new set of empirical tools consistent with the tenets of value‐based business strategies, leveraging the principle that “no good deal comes undone” and the methods of revealed preferences, to empirically estimate drivers of value creation. We demonstrate how to use these tools in an analysis of value creation in buyer–supplier relationships in the UK corporate legal market. We show that our approach can uncover evidence of subtle mechanisms that traditional methods cannot easily distinguish from each other. Furthermore, we show how the estimates can be used as parameters of biform games for out‐of‐sample analyses of strategic decisions. With readily available data on relationships between firms, this approach can be applied to many other contexts of interest to strategy researchers. Managerial summary : Managers need to understand the drivers of value creation for customers in order to make competitive positioning decisions and understand when they can capture value under competition. However, estimates of the relative importance of each driver are typically difficult to obtain. In this article, we help remedy this problem by demonstrating a novel method that obtains estimates of the contribution of various drivers of value creation from commonly available data of buyer–supplier relationships. These estimates can then be used to inform the strategy‐making process. Copyright © 2017 John Wiley & Sons, Ltd.