Genetically Modified Organisms and the U.S. Retail Food Labeling Controversy: Consumer Perceptions,Regulation, and Public Policy

In this article, we address the public issue of mandatory Genetically Modified Organism (GMO) retail food labeling in the U.S., first by reviewing the policy arguments both in support and against labeling food containing GMOs; second, by describing the existing U.S. federal regulatory system pertaining to GMO labeling, and why it does not presently require labeling of food containing GMOs; third, by reviewing and interpreting the results of studies of American consumer attitudes toward mandatory GMO retail food labeling; fourth, by evaluating, through the utilization of issue life cycle analysis in the nonmarket environment, where the issue of GMO retail food labeling stands in the national public policy process; fifth, summarizing the state of scientific evidence addressing the safety of GMO foods and the existing regulatory and public policy environment for this issue; and sixth, offering legislative and litigation strategies for the mainstream food nonmarket strategy framework to formally assess the GMO industry to protect their interests and those of American consumers not concerned with GMO food ingredients, while offering a voluntary labeling strategy for firms responding to and recognizing the “rights” of American consumers who “choose” to purchase non‐GMO food products.     

基于消费者主权的生鲜电商消费体验设置

针对消费者对国内生鲜农产品质量安全的"信任危机",本文构建了植入消费体验的生鲜电商C2B2B2C模型,让碎片化的消费者通过互联网就近聚合为社群化的食物社区,生产者通过合作社聚合为规模化生产基地,食物社区与生产基地借助电商平台进行产销对接、以销定产和消费体验。研究表明,在传统B2C模式下消费者只能依据供应商提供的信息进行Stackelberg博弈和有限消费体验,购买需求较少。当植入充分的消费体验后,生产者与消费者融合为prosumer,购买需求随消费者对生产者的信任度增加而增加。实证揭示,农耕生产、质量追溯、物流配送、网购操作、产品呈现和售后服务都会显著影响消费体验,电商平台要实现商业可持续性发展必须为消费者设置这些全面而丰富的体验场景。     

Trade-offs in Online Purchase Decisions:: Two Empirical Studies in Europe

The Internet offers firms a new way to market their products and services and to interact with their end-consumers. While many firms have developed websites, very little is known about the trade-offs consumers are willing to make when making online purchases. With millions of websites competing for attention, online firms need to know in what way consumers make purchase decisions online. Consumers mainly evaluate websites on the basis of choice and convenience. In this paper, we present the results of two European studies that examine what consumers actually value in an online environment. In study 1, we assess choice-related trade-offs in terms of number of product categories, variety of products within a given category and product-related information. Conjoint analysis revealed that product-related information represents an important decision-making variable. In study 2, we assess convenience-related trade-offs in terms of logistics, fulfilment and security. Conjoint analysis revealed that fulfilment is the most important variable related to online handling. Finally, our study clearly indicates that firms have to distinguish different consumer segments on the basis of their preferences. This knowledge enables online firms to use their resources more effectively.     

考虑消费者网购体验滞后的产品定价研究

随着电子商务技术的发展，网络购物越来越便利。与此同时，网络购物带来的产品体验滞后也导致了消费者对产品的认知不确定性。而这种不确定性正在成为消费者策略性退货行为的主要原因，如消费者同时购买多件具有横向差异的产品，在收到货物后经亲身体验后保留一件而将其他产品退货。本文通过构建Hotelling模型，探讨了企业在考虑此种影响情况下的最优定价策略，分析得出：当消费者的退货成本增加时，企业最优定价也随之增加；消费者对产品的先验效用差异化越小，企业的最优定价也越低。同时发现，若某种产品无消费者单独购买，企业的最优定价会随消费者偏好的增加而增加；而当两种产品均有消费者单独购买且消费者退货成本较大时，企业的最优定价不但不会随消费者偏好的增加而提高，反而会随消费者偏好增加而减少。此外，本文给出了消费者策略性退货行为存在的临界条件，当消费者的退货成本高于这一临界条件时消费者的策略退货行为将消失。     

基于好评返现和差评偏好的体验型产品两阶段定价决策研究

假定产品存在发布试销期与正式销售期,在销售商不采取好评返现与采取好评返现两种情形下分别建立考虑消费者差评偏好的两阶段定价决策模型,用KT方法得到相应的最优决策和利润,给出了销售商实施好评返现的条件。基于导函数分析方法与数值仿真技术,分析了好评返现与差评偏好对产品定价、销售商利润和消费者效用的影响,证实了好评返现下消费者重视差评信息的合理性,并针对消费者、平台和销售商提出了对策。研究表明:只有产品质量中等的销售商才会采取好评返现策略,其利润随产品质量的提升而先递增后递减;好评返现提高了销售商第二阶段的市场份额和售价,导致消费者效用损失;消费者越重视差评信息,实施好评返现的高(低)质量产品销售商越多(少),且销售商利润将下降;好评返现扭曲了评价信息的真实性,降低了消费者对在线评价系统的信任度。     

Product Positioning Using a Self‐Organizing Map and the Rings of Influence

In this article, we propose a new product positioning method based on the neural network methodology of a self‐organizing map. The method incorporates the concept of rings of influence, where a firm evaluates individual consumers and decides on the intensity to pursue a consumer, based on the probability that this consumer will purchase a competing product. The method has several advantages over earlier work. First, no limitations are imposed on the number of competing products and second, the method can position multiple products in multiple market segments. Using simulations, we compare the new product positioning method with a quasi‐Newton method and find that the new method always approaches the best solution obtained by the quasi‐Newton method. The quasi‐Newton method, however, is dependent on the initial positions of the new products, with the majority of cases ending in a local optimum. Furthermore, the computational time required by the quasi‐Newton method increases exponentially, while the time required by the new method is small and remains almost unchanged, when the number of new products positioned increases. We also compute the expected utility that a firm will provide consumers by offering its products. We show that as the intensity with which a firm pursues consumers increases, the new method results in near‐optimal solutions in terms of market share, but with higher expected utility provided to consumers when compared to that obtained by a quasi‐Newton method. Thus, the new method can serve as a managerial decision‐making tool to compare the short‐term market share objective with the long‐term expected utility that a firm will provide to consumers, when it positions its products and intensifies its effort to attract consumers away from competition.     

炫耀性产品品牌策略：品牌延伸或新品牌？

企业在推出炫耀性产品时，可以采用两种品牌策略：品牌延伸或新品牌。为分析企业的炫耀性产品品牌策略，通过博弈论本文建立了无新产品、品牌延伸和新品牌三种模型，并得到了垄断情形与竞争情形下企业在不同品牌策略下的最优定价和利润。研究发现：在垄断情形下，企业总是采用品牌延伸策略。而在面临企业竞争时，如果消费者对地位身份不敏感，则企业选择不推出新产品；如果消费者对身份地位敏感，则当创建新品牌成本较小时，企业采用新品牌策略，否则企业选择放弃推出新产品。此外，一定条件下，企业推出新品牌会增加竞争对手的利润。     

What help do you need for your fashion shopping? A typology of curated fashion shoppers based on shopping motivations

With the increasing digitalization of traditional retailing, omnichannel retailing has become a growing global phenomenon. The result is the emergence of a new type of shopper who expects a seamless shopping experience across digital and physical channels. As a hybrid between offline and online, the retail innovation curated retailing combines the advantages of these channels, particularly in the fashion and apparel industry. In curated fashion retailing, stylists assist consumers in their online shopping by providing product recommendations tailor-made to their personal preferences. Because consumer demands differ and most curated retailers still struggle with commercial and market performance, a thorough understanding of these shopper segments is vital for retailers. Therefore, this research develops a typology based on shopping motivations for adopting curated retailing in fashion and apparel. Applying cluster analysis to survey data from a main sample of 388 German consumers, four segments are identified: store-oriented online customizers, fashion-conscious changers, choice support seekers and independent apathetics. Using chi-square analysis and analysis of variance, the segments are profiled in terms of their demographic characteristics and actual purchase data. A validation sample consisting of 218 consumers in four European countries provides evidence for the predictive power of the study's results. This study extends the shopping motivation literature to the context of curated retailing and enhances knowledge about online shopper typologies in consulting-intensive retail sectors. The paper concludes with managerial recommendations.     

Quality Provision with Heterogeneous Consumer Reservation Utilities

This study examines a firm's quality and price decisions when consumers differ not only in their willingness‐to‐pay for quality but also in their reservation utility for the basic product. We find that while the firm offers lower‐quality products when consumers' valuations for quality deteriorate, the optimal quality may increase with a negative shift in consumers' reservation utilities. We also investigate the optimal price and quality of the products within a vertically differentiated product line when the number of products is exogenously given. The existing literature shows that when consumers differ only in their willingness‐to‐pay for quality, the firm sets the efficient quality for consumers with the highest valuation for quality, whereas the concern for cannibalization pushes down the quality of inferior products. We find that when consumers are heterogeneous in both their reservation utility and valuation for quality, the concern for cannibalization may distort the quality upwards, even for consumers with the highest willingness‐to‐pay for quality. In addition, a low‐quality product may enjoy a higher profit margin than a high‐quality product within the product line.     

信息不对称条件下双寡头市场中质量差异化产品虚假信息问题研究

基于博弈论和契约理论,研究了信息不对称条件下双寡头市场质量差异化产品定价过程中虚假信息的问题。消费者与企业关于产品质量信息存在严重不对称,为企业使用虚假质量信息提高企业利润提供了较大的空间。为分析企业使用虚假信息的问题,本文基于Bertrand博弈模型构建了双寡头市场质量差异化产品定价模型并求解企业利润。求解结果表明双寡头市场的纳什博弈均衡解为两企业均使用虚假信息,在此基础上进一步从契约的角度对企业使用虚假信息的问题进行了合理规避。最后运用算例分析验证了模型的正确性。     

Toward Improving Food Safety in the Domestic Environment: A Multi-Item Rasch Scale for the Measurement of the Safety Efficacy of Domestic Food-Handling Practices

To reduce consumer health risks from foodborne diseases that result from improper domestic food handling, consumers need to know how to safely handle food. To realize improvements in public health, it is necessary to develop interventions that match the needs of individual consumers. Successful intervention strategies are therefore contingent on identifying not only the practices that are important for consumer protection, but also barriers that prevent consumers from responding to these interventions. A measure of food safety behavior is needed to assess the effectiveness of different intervention strategies across different groups of consumers. A nationally representative survey was conducted in the Netherlands to determine which practices are likely conducted by which consumers. Participants reported their behaviors with respect to 55 different food-handling practices. The Rasch modeling technique was used to determine a general measure for the likelihood of an average consumer performing each food-handling behavior. Simultaneously, an average performance measure was estimated for each consumer. These two measures can be combined to predict the likelihood that an individual consumer engages in a specific food-handling behavior. A single "food safety" dimension was shown to underlie all items. Some potentially safe practices (e.g., use of meat thermometers) were reported as very difficult, while other safe practices were conducted by respondents more frequently (e.g., washing of fresh fruit and vegetables). A cluster analysis was applied to the resulting data set, and five segments of consumers were identified. Different behaviors may have different effects on microbial growth in food, and thus have different consequences for human health. Once the microbial relevance of the different consumer behaviors has been confirmed by experiments and modeling, the scale developed in the research reported here can be used to develop risk communication targeted to the needs of different consumer groups, as well as to measure the efficacy of different interventions.     

焕新计划下考虑消费者细分的产品定价策略

焕新计划是生产商为提升自身竞争优势而推出的一种促销手段，加入焕新计划的消费者在第一阶段可以享受全方位服务，在第二阶段可以享受以旧换新抵扣优惠。消费者将权衡加入焕新计划的费用、服务水平以及抵扣力度等因素决策是否在第一阶段加入焕新计划。本文假设时尚型消费者每阶段都会购买最新产品，而节俭型消费者第一阶段购买产品后在第二阶段继续使用，针对这两类消费者在实施焕新计划和不实施焕新计划两种情况下，构建两阶段模型以决策产品的最优定价；运用解析方法分析了产品的生产成本等参数对最优定价的影响；运用解析方法和数值算例方法对两模型进行对比。     

Pricing of flexible products

The pricing of flexible products is a new price discrimination practice that can enable firms to increase revenues under capacity considerations. A flexible product is defined as a good or service with at least one product attribute not fully specified at the time of the purchase, leaving the seller with at least two alternatives for the final product design and the ability to assign consumers to one of these alternatives at a later date. Flexible products enable sellers to better utilized capacity, as well as, to segment consumers and price discriminate according to different levels of flexibility. We empirically analyze consumer purchase behavior for flexible products based on a large field study of a low-cost airline. At this low-cost airline, consumers can select the level of flexibility of the flexible product. We identify the drivers of purchase behavior by analyzing the impact of consumers?? flexibility and search behavior and the price discount of the flexible ticket. Further, we estimate the revenue and profit effects of flexible products.     

Group Selling,Product Durability,and Consumer Behavior

Firms producing complementary goods often strategically form groups and jointly sell their products to better coordinate their decisions. For consumer durables, decisions about such collaboration might be complicated due to two factors. Because of their durability and presence of used goods markets, such products engender “future” price competition between new and used goods. On the other hand, consumers of such products might be forward‐looking and patient, both of which affect their purchasing behavior. In this study, we study how the above product and consumer characteristics interact to affect the group selling decisions of complementary firms. We do so through a two‐period model consisting of a value chain with two upstream manufacturers and a downstream retailer. When consumers are relatively impatient and reluctant to wait to buy later, group selling by manufacturers will take place only when the end product is relatively perishable, that is, product durability is low. However, if consumers are patient, that is, willing to wait, collaboration happens only when the end product is quite durable; for relatively perishable products the manufacturers sell their products separately. We also comment on how our results are affected by factors like manufacturers directly selling to end consumers or there being multiple opportunities to decide whether or not to use group selling strategy.     

Market segmentation and willingness to pay for organic products in Spain

In recent years, consumer concerns on environmental and health issues related to food products have increased and, as a result, the demand for organically grown production has grown. Higher costs of production and retailer margins generate a gap between real prices and those that consumers are willing to pay for organic food. In this article, consumer willingness to pay for organic food in two Spanish regions is analyzed. Markets in both regions are segmented considering consumers lifestyles. Results indicate that consumers concerned about healthy diet and environmental degradation are the most likely to buy organic food, and are willing to pay a high premium. Organic attributes are easily identified in perishable products as the premium consumers would pay for organic meat, fruits, and vegetables is higher.     

On pricing and protection of complementary products

The business literature advises firms producing complementary products to sell the core product at a low price, but to price the complementary product at a higher premium. This strategy, however, is problematic if firms face competitors in the market for complementary products as well, as observed in recent years for instance in the market for printers/ink cartridges. Motivated by several measures the firms have taken in this market, the current paper analyzes whether firms are interested in protecting their complementary product from outside competition. We find that firms protect their products only if consumers underestimate the demand for the complementary product when deciding which core product to buy. Moreover, we investigate how the decision to protect the complementary product interacts with a firm’s pricing decision. We show that the price policy proposed in the business literature should only be applied, if consumers sufficiently underestimate their demand for the complementary product so that firms strongly protect these products from outside competition.     

基于在线评论数据的产品需求趋势挖掘

随着经济水平的提高和物质生活的丰富，消费者的需求变化也越来越快。能否迎合市场需求的变化是企业产品成功的关键。随着社交媒体的发展，消费者为了分享购物体验发表了许多在线评论信息，其中蕴含着消费者的需求变化。本文在产品特征提取和属性情感分析的基础上，构建了垃圾评论识别模型。然后，利用时间序列分析模型预测下阶段的产品属性关注度和情感计算。最后结合历史数据的变化趋势，分析产品属性的重要性和市场满意情况。利用汽车论坛上的汽车评论数据对本文提出的研究模型进行了验证。研究结果可以为企业制定营销策略以及产品改进与创新提供决策支持。     

Consumer perceptions of trout as a food item

The impacts of socioeconomic/demographic characteristics, experiences and preferences of consumers on trout purchasing decisions were estimated using Probit and Ordered Probit regression techniques. Data from a survey of consumer purchasing behavior and personal attributes were used to deduce factors that led to either a high or low likelihood of purchasing trout products. Analysis of data pertaining to whole trout and value-added products yielded consistently different characteristics of consumers who show a high affinity toward purchasing one or more of such products. Results from these analyses were used to suggest techniques for marketing whole trout and value-added trout products to specific segments of the consumer population.     

“The Dose Makes the Poison”: Informing Consumers About the Scientific Risk Assessment of Food Additives

Intensive risk assessment is required before the approval of food additives. During this process, based on the toxicological principle of “the dose makes the poison,? maximum usage doses are assessed. However, most consumers are not aware of these efforts to ensure the safety of food additives and are therefore sceptical, even though food additives bring certain benefits to consumers. This study investigated the effect of a short video, which explains the scientific risk assessment and regulation of food additives, on consumers’ perceptions and acceptance of food additives. The primary goal of this study was to inform consumers and enable them to construct their own risk‐benefit assessment and make informed decisions about food additives. The secondary goal was to investigate whether people have different perceptions of food additives of artificial (i.e., aspartame) or natural origin (i.e., steviolglycoside). To attain these research goals, an online experiment was conducted on 185 Swiss consumers. Participants were randomly assigned to either the experimental group, which was shown a video about the scientific risk assessment of food additives, or the control group, which was shown a video about a topic irrelevant to the study. After watching the video, the respondents knew significantly more, expressed more positive thoughts and feelings, had less risk perception, and more acceptance than prior to watching the video. Thus, it appears that informing consumers about complex food safety topics, such as the scientific risk assessment of food additives, is possible, and using a carefully developed information video is a successful strategy for informing consumers.     

Optimal Pricing of Two Successive‐Generation Products with Trade‐in Options under Uncertainty

To entice consumers to purchase both current and next generation products, many manufacturers and retailers offer trade‐in programs that allow buyers of the first generation product to trade‐in the product and purchase the new generation product at a lower price. By considering the interactions between “forward‐looking” consumers and a firm when a trade‐in program is offered, we analyze a two‐period dynamic game to determine the optimal prices of two successive‐generation products in equilibrium, and examine the conditions under which trade‐in programs are beneficial to the firm. Our model incorporates market heterogeneity (valuation of the first generation product varies among the consumer population), product uncertainty (the incremental value of the new product is uncertain before its introduction), and consumers' forward‐looking behavior (consumers take future product valuation and prices into consideration when making purchasing decisions). With the trade‐in option, we show that consumers are willing to pay a price that is higher than their valuations of the current product. Furthermore, trade‐in programs are more beneficial to the firm when: (i) the durability of the current product is high; (ii) the market heterogeneity is low; or (iii) the uncertainty level (or the expected incremental value) of the new product is high. Finally, when the incremental value of the new product is more uncertain, consumers are more willing to purchase the current product because of the “option” value of the trade‐in programs and thus trade‐in programs can be more beneficial to the firm in this case.