How would Swiss consumers decide if they had freedom of choice? Evidence from a field study with organic,conventional and GM corn bread

In 2005, the Swiss expressed their negative attitude towards genetic engineering in agriculture by voting in favor of a ban to use genetically modified (GM) crops in domestic agriculture. At the same time, certain GM food products remain approved but are not on offer since retailers assume that consumers would shun labeled GM food. In our study we tested this claim by conducting a large-scale field study with Swiss consumers. In our experimental design, three clearly labeled types of corn bread were offered at five different market stands across the French and German-speaking part of Switzerland: one made with organic, one made with conventional, and one made with genetically modified (GM) corn. In addition, we tested the consistency between purchasing decision at the market stand and the previous voting decision on GMOs in 2005 by means of an ex-post questionnaire. The results of our discrete choice analysis show that Swiss consumers treat GM foods just like any other type of novel food. We conclude from our findings that consumers tend to appreciate transparency and freedom of choice even if one of the offered product types is labeled as containing a genetically modified ingredient. Retailers should allow consumers to make their own choice and accept the fact that not all people appear to be afraid of GM food.     

Product Line Rivalry and Market Segmentation—with an Application to Automobile Optional Engine Pricing

This paper addresses the questions whether and when the pricing practices on base products may differ from those of premium products, sold with options or add-ons. Various alternative models are considered: a monopoly model, a model of brand rivalry with full consumer information and a model of rivalry in which consumers are only well informed about base product prices. Only the brand rivalry model with limited consumer information predicts that premium products have larger percentage markups than base products, provided that brand rivalry is sufficiently intense. Empirical evidence on base and premium product pricing in the automobile market is consistent with the limited information model and inconsistent with the other two models.     

The impact of mandatory trans fat labeling on product mix and consumer choice: A longitudinal analysis of the U.S. Market for margarine and spreads

The impact of changes in food labeling policy on food consumption depends on how market participants—both firms and consumers—react to the changes across all products in the market. We investigate how both responded to the U.S. Food and Drug Administration’s 2006 rule mandating that the quantity of trans fat in food products be separately labeled on the mandatory Nutrition Facts Panel across an entire differentiated product category. Using a longitudinal data set tracking both product offerings and consumer purchases in the market for margarine and spreads for over a decade, we analyze how product mix and consumer purchase behaviors were influenced by the new regulatory requirement. We find that the number of products bearing voluntary “trans fat free” labels increased after the labeling regulation was implemented. However, a large number of the newly introduced products exited the market within five years. As a result, the FDA’s 2006 rule had a stronger short-run than long-run effect on product offerings. Even after the introduction of additional “trans fat free” labeled products, such products remained only a small percentage of margarine and spreads product offerings, increasing from a pre-regulation level of 2.3% of the market to a peak of 6.5% in 2007 before dropping to 3.1% by 2011. In addition to firm response, we examine demand-side reactions to the 2006 rule and find that consumers significantly increased their expenditures on “trans fat free” labeled products soon after the labeling changes were implemented, increasing from about 1.2% of the market in 2001 to a peak of 5.9% in 2007, before returning to 1.8% in 2011. We further explore variations in responses across different demographic characteristics. Although long-run effects are small, the market for “trans fat free” labeled margarine and spreads settled into a new equilibrium with a somewhat higher level of products in the market than prior to the 2006 rule taking effect and a somewhat higher share of expenditures in the category. Overall, our category-wide analysis of both firm and consumer behavior indicates that the effects of the labeling policy change were smaller in the longer run in this market than would be indicated by an analysis of only new product introductions in response to the policy change.     

Consumer responses to front-of-package labeling in the presence of information spillovers

Voluntary nutrition labeling, a means of nutrition quality disclosure, was introduced in the U.S. over the last decade by leading food manufacturers, primarily in the form of front-of-package (FOP) labeling. This article examines how consumer responses to FOP labeling via product participation and information spillovers shift consumer demand across competing products. Applying a random coefficient logit demand model to sales data from the U.S. ready-to-eat cereal market (RTEC) empirically confirms a positive participation effect of FOP and a strong negative spillover effect on non-participating products. Further results indicate that the participation and spillover effects are stronger for healthy RTECs than they are for unhealthy ones. Moreover, ignoring such effects leads to underestimation of consumer valuation of FOP labeling for participating products, higher own-price elasticities of demand and lower price-cost margins. The findings also suggest that an incentive in a firm’s voluntary participation in self-regulated labeling programs is to avoid negative treatment externalities and that less health-conscious consumers are not influenced by spillover effects. Overall, this article highlights the importance of including spillover effects in the evaluation of FOP programs and that FOP can play a positive role in improving the healthfulness of consumer choices.     

The demand for organic foods in the South of Italy: A discrete choice model

This paper analyses organic food consumer’s demand that can help advising on implementing organic food policies at European level or, for a particular European country. In particular, it investigates the main factors explaining organic food demand in the South of Italy. Following the Lancaster consumer’s demand theory we assume that consumer’s utility depends on product characteristics instead of the product itself. Thus, consumers will choose the product (organic versus conventional) that possesses the combination of attributes that maximises its utility. Consumer’s choice for organic foods is analysed within the random utility discrete choice model and a bivariate probit model has been specified. The data were collected through a questionnaire conducted in the Italian region of Campania (Naples) in 2003. Findings indicate that economic factors are still factors limiting the growth of organic demand in Europe. Moreover, the consumers’ perceived benefits of organic food (environmental and health) are factors promoting organic food demand. In addition, greater information on organic food products is crucial to expand its demand in the South of Italy because this information will increase the consumer’s organic knowledge. Then, higher organic knowledge will increase the probability to buy organic foods and, to a larger extent, the level of consumption among existing consumers.     

Product appeal,differences in tastes,and export performance: Evidence for Danish chocolate and confectionery

This paper studies the relationship between domestic market performance and export performance. We employ data on production and trade in the Danish chocolate and confectionery industry to obtain estimates of domestic ‘product appeal’ (reflecting non-price factors of domestic performance). Domestic product appeal is influenced not only by inherent characteristics of the product, but also by the tastes and preferences of domestic consumers. For many consumer goods, tastes depend on customs, culture etc. A product’s domestic appeal is therefore an imperfect predictor of foreign demand (and hence of export performance), especially in destinations where tastes differ substantially from domestic tastes. We combine estimates of domestic product appeal with information on destination-specific exports and a novel measure of differences in tastes across countries to confirm this hypothesis. Results are consistent across both a Tobit model with destination-specific censoring point and the BLP estimator, which additionally reveals substantial heterogeneity in tastes for product appeal within countries across consumers.     

Brand-specific tastes for quality

This paper develops a model of nonlinear pricing with competition. The novel element is that each consumer's willingness to pay for quality is private information and is allowed to differ across brands. The consumer's preferences are represented by a multidimensional type containing the marginal value of quality for different products. Buyers with high willingness to pay for quality also display strong preferences for particular brands, and require higher discounts in order to switch away from their favorite product. Therefore, competition is fiercer for buyers with lower tastes for quality, and hence more elastic demands. This is in sharp contrast to earlier models in which competition is fiercer for higher-taste, more valuable buyers. In equilibrium, firms either compete intensively for the entire market (providing strictly positive rents to all consumers) or shut down the least profitable segment of the market. Quality levels are distorted downwards for all buyers, except for those with the highest type. The number of competing firms and the degree of correlation across brand preferences enhance the efficiency of the allocation.     

Brand Extension Effects and Core Attributes of Experience Product Franchises: A Bayesian Approach

An experience product's quality is difficult to assess prior to purchase, largely due to the limited availability of information before consumption. In the absence of perfect information, firms routinely use certain market signals to provide product quality information to consumers. Accordingly, drawing from signaling theory, this research aims to identify a collection of product core attributes in the form of signals and brand extension features to successfully manage experience product franchises. In doing so, we make use of Bayesian models with both deterministic effects via the use of predictor variables and probabilistic effects via the use of brand extension properties. Such models allow us to explore specifically the relative performance effects of the parent product of a franchise and of its extensions given the same level of product core attributes. The results of this study, based on the motion picture franchise data, indicate that there are critical product core attributes such as continuity, timing, and prior perception that collectively lead to successful successive generations. Furthermore, our study shows that brand features measured by the relationships between the parent product and its subsequent extensions at the infancy of the franchise are essential for the continuation of experience products. Similarly, our results indicate that the parent product's success on later extensions' performance starts to diminish, implying that the established “brand name” is what carries the franchise forward.     

Product price and performance level in one market or two separated markets under various cost structures and functions

Market characteristics, including intrinsic demand and customer sensitivity on price and product performance level, are distinct at different markets. Comparisons of various product development strategies in one market or two geographically separated markets are conducted for three classes of products: development intensive products (DIPs) with constant unit cost, marginal cost-intensive products (MIPs) with constant fixed cost, and marginal and development intensive products (MDIPs) with non-constant unit cost and fixed cost. Results show that larger demand size, less customer sensitivity on price and/or more sensitivity on performance level lead to more profit, a higher sale price and a not-lower product performance. The customer reservation or the saturation performance level should be generally adopted though the optimal performance level does exist occasionally. Unit cost and/or fixed cost must increase in performance at an increasing rate for the existence of one optimal performance level. Due to the impact of demand size, one high-end (low-end) MDIP or DIP could be introduced into one low-end (high-end) market at a different price if the demand size is significantly large in the low-end market. For DIPs, offering one niche high-end product is not worse than offering the low-end product into two markets. For MIPs with negligible fixed cost, the product line strategy is not worse than the standard product development strategy. Additionally, the product cost reduction approach adopted in one product line has significant effects on the best product development strategy and sequence.     

In a Network Industry,Does Product Quality Matter?

The role of product quality in industries influenced by network effects has been the subject of significant debate among management theorists. Some have suggested that network effects can result in inferior products, as consumers value a large cohort of fellow adopters over the technical quality of a given product. Others argue that cases of market domination by inferior products are quite rare and that product quality is an important aspect of network‐based competition. Thus, a fundamental question has arisen from this debate: in industries influenced by network effects, does product quality matter? This research uses a sample of product releases in the application software industry from 1986 to 1998 to test the impact of product quality on installed base growth for a given product line. Using software quality measures from archival trade publication reviews, quality is found to have a positive and significant impact on growth, even after controlling for installed base size and other product, firm, and segment characteristics. This finding suggests that the first‐mover advantages often ascribed to network industries may be more complex than previously thought. Rather, effective strategy in network competition appears to center on the trade‐off between early product releases, with the intent of establishing an early installed base, and later product releases, with the intent of improving the quality of the focal product. Several potential extensions of this work are offered, with a specific focus on (1) the impact of variation in the strength of network effects across industries, and (2) the dueling incentives faced by incumbents in network industries, who may possess greater capabilities to produce high‐quality products but limited incentive to do so. Other potential contributions for theory and practice are offered and discussed.     

How to Overcome Pro‐Change Bias: Incorporating Passive and Active Innovation Resistance in Innovation Decision Models

Adoption literature is largely subject to a pro‐change bias; researchers mainly assume that consumers are open to change and thus interested in evaluating new products. However, consumers often reject innovations without considering their potential, such that the adoption process ends before it really has begun. The present study instead argues that innovation resistance, prior to product evaluation, is a regular consumer response that must be recognized and managed to facilitate new product adoption. The authors suggest differentiating passive from active innovation resistance. While passive innovation resistance results from a consumer's generic predisposition to resist innovations prior to new product evaluation, active innovation resistance is an attitudinal outcome that follows an unfavorable new product evaluation. This study also extends extant innovation decision models by describing how passive and active innovation resistance emerge and how they affect decision‐making in later stages of the process.     

Applying Hedonic Pricing Models and Factorial Surveys at Parker Pen to Enhance New Product Success

Walking the path from new product concept to successful commercialization is a tightrope act. Product developers must carefully balance a variety of factors, including predictions of consumer price sensitivity as well as which combination of product attributes will be most valued by the intended market. A well-chosen mix of analytical tools can enhance a firm's chances of accurately predicting market demand. Chuck Tomkovick and Kathryn E. Dobie describe how the integration of two product attribute assessment techniques–hedonic pricing models and factorial surveys–allows product designers to more accurately gauge price sensitivity and market receptivity to new product designs. They also describe how these analytical tools were used to improve decision-making in product development at the Parker Pen Company, and they discuss the role these tools can play in facilitating the transition from concept to commercialization. Hedonic price analysis is an econometric method for determining the value purchasers place on attributes of existing products. In product development, factorial surveys are used to identify the value members of the target market place on new product concepts and prototypes. When used in combination with identified hedonic prices, the responses to a factorial survey allow product developers to predict consumer willingness-to-pay for various combinations of new product attributes. Following development of prototypes for two new product lines, product developers at the Parker Pen Company used hedonic pricing models and factorial surveys as a means for reducing demand uncertainty and for clarifying what consumers were willing to pay for various combinations of product attributes that were under consideration. The integration and use of these techniques involved a five-step process of target market identification, product attribute identification, hedonic price estimation, administering of the factorial survey, and determination of consumer willingness-to-pay. The results of these analyses allowed Parker Pen to better focus product development efforts on those design elements for which test market customers indicated both demand and willingness-to-pay. The Parker Pen Company found hedonic pricing and factorial surveys useful for predicting both the rate and the degree of change in consumers' marginal utility for specific product attributes. The usefulness of these techniques also extends beyond the early stages of new product conception. These techniques are helpful in the development and implementation of dynamic new product marketing mix strategies, including such elements as product design, pricing, channel selection, and promotion.     

Chinese consumer demand for food safety attributes in milk products

Little is known about emerging demands for food safety among consumers in developing countries. This study presents results of an investigation of consumer awareness, willingness to pay, and price premiums for milk products manufactured using Hazard Analysis Critical Control Point (HACCP) management, a quality management system used to reduce food safety risks. Chinese food processors initially sought HACCP certification to access export markets, but now HACCP is rapidly being adopted for domestic products and HACCP logos have begun to appear on labels in China. A survey of Beijing consumers found that less than one in five respondents was aware of HACCP, and most who had heard of HACCP had learned about it within the previous year. After receiving information on HACCP nearly all respondents were willing to pay a modest price premium for HACCP-certified products. Products with HACCP labels in Beijing supermarkets sold at a price premium of about 5% over products without such labels, holding other product attributes constant. The results indicate that demand for food safety is emerging as an attribute demanded by Chinese consumers.     

MARKET PERFORMANCE WITH MULTIPRODUCT FIRMS*

We revisit the fundamental issue of market provision of variety associated with Chamberlin, Spence, and Dixit‐Stiglitz when firms sell multiple products. Both products and firms are (horizontally) differentiated. We propose a general nested demand framework where consumers first decide upon a firm then which variant to buy and how much (the nested CES is a special case). We use it to determine the market's biases when firms compete in product ranges and prices. The market system attracts too many firms with too few products per firm: firms restrain product ranges to relax price competition, but this exacerbates over‐entry.     

Production capacity planning for multiple products under uncertain demand conditions

This study chiefly deliberates issues regarding capacity allocation for multiple products. When producing multiple products, a manufacturer needs to allocate a favorable production quantity to each product under conditions of uncertain demand since the excess or shortage of a product will in turn cause the loss of profit. The proposed model and the corresponding algorithm in this study are used to find out the optimal capacity allocation under the given probability density function of specific demands and to effectively allocate limited capacity to multiple products with an aim to maximize profit. Finally, the numerical example suggests that the marginal profit, the inventory holding cost, the shortage cost, the loss of excess production, and market demands should be considered in an effort to discover an optimal capacity allocation with regard to multiple products.     

Food safety recall effects across meat products and regions

Food safety is one of the key issues for the international meat market. As a major meat exporter, few things facing the U.S. meat industry in recent years have garnered more attention than food safety events and policies. The impacts of Food Safety Inspection Services (FSIS) recalls on United States consumer meat demand are estimated using monthly grocery-scanner data identifying effects across products, geographic regions, and recall type. Results suggest beef E. coli recalls significantly reduce the demand for recalled ground beef contemporaneously among most, but not all, regions in the United States. Evidence of heterogeneity in demand impacts across regions and products is provided for the first time. Domestic and international implications for policy makers, industry leaders, and researchers are discussed.     

You have not been archiving emails for no reason! Using big data analytics to cluster B2B interest in products and services and link clusters to financial performance

The potential of big data analytics when it comes to gaining business insights, such as market trends and consumer preferences, has captured the interest of both scholars and business practitioners. However, the extant literature has so far provided limited empirical evidence to demonstrate how big data analytics can create business value. To address this research gap, this paper followed a novel big data analytical approach that involved analysing email archives about product/services demand clusters in a B2B setting. We analysed 621 k emails exchanged between 2009 and 2018. We identified a number of discussion clusters that were considered proxies for the interest buyers expressed in the products/services on offer. These clusters and associated discussion trends were linked to the company's revenues and financial performance, showing good predictive power. In doing this, we have demonstrated how widely available data, such as emails, which all companies have, can be used to underpin new methods for the early identification and monitoring of product demand trends, informing marketing strategies.