Consumer preference analysis: A data-driven multiple criteria approach integrating online information

Multiple criteria approaches can assist the product manager to know the consumer preferences in the context of e-commerce. Consumer preference analysis explains what aspects of a product affect and how they affect a consumer’s purchasing decision. This issue plays an important role in e-commerce platforms from its relevance in marketing decisions such as advertisements, recommendations and promotions. In this regard, we propose a data-driven multiple criteria decision aiding (MCDA) approach to integrate online information, such as explicit (e.g., reviews and ratings) and implicit (e.g., clicks and purchases) feedback from consumers. However, MCDA approaches present a critical challenge that even an experienced product manager could find it difficult to pre-define the criteria on which a product is evaluated. To address this issue, our proposed approach first utilizes text-mining techniques to assist the product manager identify the criteria, and then determines and collects the relative importance of the criteria and their values. Given the criteria information, we use a sampling process to provide two indices, the consumer preference index and rank acceptability index. The first index helps in prioritizing the pairwise comparisons of products, while the second one helps in deriving a default ranking list for first-time-registered consumers. We record the products viewed by consumers and generate their preference information in the form of pairwise comparisons for analyses within an aggregation-disaggregation paradigm. We also provide a representative value function to help the product manager gain insight into the preferences. Finally, we describe how a real-world application including the product manager and consumers exploits the proposed approach on an e-commerce platform to take a large step toward aiding more realistic and data-driven multiple criteria decision making.     

偏好市场下制造/再制造系统最优生产决策

从消费者对再制造产品和新产品有着不同的需求偏好入手,引入市场需求偏好函数,构建单一垄断生产商利润最大化的带约束生产决策模型,探讨偏好市场下的两期和无限期的最优产量-价格决策策略.此外,通过对再制造经济优化模型的数据模拟,分析消费者偏好系数对生产商利润、成本节约、产品价格的影响,为生产商的生产决策,以及政府如何影响消费者偏好决策提供指导建议.     

消费者品牌忠诚对品牌商再制造市场策略的影响

独立再制造商IR的市场进入给品牌商带来了显著的竞争压力。品牌忠诚源于消费者对某个产品品牌的信任和特殊情感,在产品选择中具有明显的倾向性和排他性,进一步增加了品牌商市场策略的复杂性。针对这一现象,本文采用博弈论结合数值仿真研究了消费者具有品牌忠诚特性下的品牌商再制造市场策略问题。建立并求解了IR不进入且品牌商不再制造（n）、IR不进入且品牌商再制造（nR）、IR进入且品牌商不再制造（nr）、IR进入且品牌商再制造（nrR）四种市场模式,对模型结果进行了灵敏度分析,并探讨了各成员的模式偏好。研究表明：新产品价格、品牌再制品价格、一般再制品价格均与品牌忠诚度正相关;品牌忠诚度的提高一定增大品牌商的利润,但不一定会降低IR利润;当新产品制造成本较高时,品牌商的模式偏好始终为nR$\succ$nrR$\succ$n$\succ$nr,较低时模式偏好受到消费者品牌忠诚度的大小的影响;nr和nrR模式下,品牌忠诚度仅可能提高品牌消费者剩余,但会降低普通消费者剩余、总消费者剩余和社会总福利。     

Predicting the Incremental Benefits of Online Information Search for Heterogeneous Consumers

Consumer information search (CIS), the process by which a consumer browses and inspects a shopping environment for appropriate information to select a product or service from available options, has been a research focus in the context of online business. One of the key questions related to CIS is how to determine how much information to search (i.e., when to stop searching). Extensive literature on behavioral science has revealed that consumers often search either “too little” or “too much,” even with the help of existing consumer decision support systems (CDSSs). To address this issue, this article introduces a new method of CDSSs that provides effective estimation of incremental search benefits. The method, called the personalized distribution‐based prediction method (PDM), is developed from the perspective of machine learning and utilizes consumer preference information generated by collaborative filtering (CF) algorithms. In contrast to related methods that assume that all consumers follow the same distribution function in terms of product preference, the PDM method is designed to consider the diversified search behaviors of consumers through the incorporation of heterogeneous preference distribution functions. Experiments based on data provided by Netflix illustrate that the proposed method is effective and advantageous over existing applicable techniques. Theoretical analyses are also provided to explain the advantageous performance of PDM.     

Push or Pull? Design of Content Delivery Systems

Advances in information technology, especially the expansion of cellular and WiFi networks, are dramatically changing how people consume digital content. These changes in user access behavior present a challenge of delivering content to a diversified consumer base. This article addresses this challenge by identifying the key factors for the design of content delivery systems (gross value of content, delivery delay, sensitivity to delivery delay, accessing cost, and processing cost) and explicitly modeling their interactions. We investigate two content delivery systems—push and pull systems, and solve for the content provider's optimal push frequency decision and consumers’ push versus pull decisions. We show that the content provider's selection of push frequency plays a critical role determining the segmentation of the consumer market into the push group and the pull group. Our findings suggest that firms should set a relatively high push frequency to cater to high‐type consumers, which leads to two consumer groups with low‐type consumers belonging to the pull group and high‐type consumers belonging to the push group.     

考虑退货风险的制造商双渠道供应链定价决策研究

针对事前不确定性导致的退货问题,从消费者行为出发,建立考虑定价差异和退货风险双重因素的市场需求函数,通过Stackelberg博弈模型研究四种不同市场需求情形在不同定价模式下双渠道供应链的最优决策。在数值仿真部分,对不同情形决策之间比较、供应链收益进行比较分析。研究表明：电子渠道销售价格与电子渠道的市场基本需求成正比,批发价和传统渠道销售价格与传统渠道的市场基本需求成正比,实体店体验服务水平和传统渠道的市场基本需求的关系（线性关系）则根据某些条件而定;退货风险对供应链决策的影响与定价模式、市场需求影响因素相关;制造商偏好于定价不相等模式,零售商偏好于定价相等模式;退货风险与定价差异对供应链成员收益的影响与定价模式相关,对整体供应链收益的影响与定价模式和退货率大小有关。     

“双积分”政策下汽车制造商竞争定价与减排策略研究

"双积分"政策的实施对汽车制造商的定价决策产生了重要影响。考虑卖方由同时生产燃油车和新能源汽车的制造商1和仅生产新能源汽车的制造商2组成,在消费者低碳偏好和价格竞争影响下分别针对制造商1对燃油车采取和不采取节能减排措施的情况,研究"双积分"政策下汽车制造商的定价策略和减排决策,探讨新能源汽车积分值和积分比例要求对政府和企业决策的作用效果。进一步,通过对不同情形的结果进行分析,得到"双积分"政策的出台、消费者低碳偏好及制造商采取节能减排措施对制造商定价和减排决策带来的变化,并通过算例分析验证了结论。研究结果表明:(1)"双积分"政策可以降低新能源汽车的价格,提高新能源汽车制造商的利润,促进燃油车主动减排。(2)当新能源汽车的需求价格弹性系数和需求交叉价格弹性系数处于较高水平时,政府要制定较高的每台新能源汽车积分值。(3)燃油车的油耗水平存在一个环境属性标准,当油耗水平低于一定值时,随着新能源汽车积分比例要求的不断增大,制造商1选择提高燃油车价格。(4)消费者低碳偏好是提高燃油车减排水平的重要因素,政府可以对减排技术先进的燃油车制造商进行低油耗认证,提高消费者低油耗燃油车需求,激励燃油车制...     

本土品牌逆袭与消费者偏好逆转的纵向扎根研究

  如今的中国市场,诸多行业本土品牌崛起甚至逆袭,消费者对全球品牌与本土品牌的偏好相应逆转。已有研究较为全面地揭示了全球品牌和本土品牌偏好的驱动因素,但本土品牌逆袭过程中全球品牌与本土品牌偏好的驱动因素是否相同、本土品牌逆袭与消费者偏好逆转的互动影响路径是怎样的,对这些问题缺乏探讨。         在梳理相关研究的基础上,以手机行业为研究对象,采用扎根理论的研究方法,通过对网络讨论数据的初始编码、聚焦编码和理论编码,首先研究全球品牌与本土品牌偏好的驱动因素的异同,然后结合对讨论数据的纵向统计结果,研究本土品牌逆袭过程中品牌逆袭与消费者偏好逆转的互动影响路径。         研究结果表明,本土品牌逆袭中,全球品牌与本土品牌偏好的驱动因素模型具有相似的结构,功能价值和社会价值的测量受个人因素调节而影响消费者偏好,但测量功能价值或社会价值的具体因素在全球品牌与本土品牌中存在差异。品牌逆袭有助于提升综合国力、促进消费者成熟,进而驱动消费者偏好逆转;消费者偏好逆转则通过反馈路径帮助品牌进一步逆袭。具体的,消费者对产品特质更加重视,全球品牌的原产国效应和符号价值表现力减弱,本土品牌的口碑效应和符号价值表现力增强,同时消费者的民族主义增强而爱国绑架感减弱,这些因素通过感知价值带来消费者偏好逆转。综合而言,本土品牌逆袭和消费者偏好逆转是互动提升的关系。         研究结果丰富了全球品牌和本土品牌的相关研究,为全球品牌和本土品牌的建设提供了实践启示。产品特质是影响消费者偏好的主要因素,并对其他驱动因素有支撑作用。所以全球品牌和本土品牌都要重视产品的创新和研发,还要根据各驱动因素的变化调整其营销策略。     

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.     

基于交叉效率DEA与群体共识的区间乘性语言偏好关系群决策

针对区间乘性语言偏好关系群决策问题,提出了一种基于交叉效率DEA和群体共识的群决策方法。首先,提出乘性语言偏好关系导出函数的定义,并构建产出导向的DEA模型,证明了一致性乘性语言偏好关系的DEA效率得分与排序向量之间存在比例关系。在此基础上,建立基于理想值的交叉效率DEA模型,提出乘性语言偏好关系的通用排序方法。同时,基于群体共识建立目标规划模型来计算各语言偏好关系的权重系数。最后,利用Monte Carlo随机模拟的方法对群体语言偏好空间进行统计分析,得到群决策期望排序向量及其可信度。算例分析表明本文方法能够有效的避免信息损失,具有较强的适用性和较高的可信度。     

An approach to consensus measurement of linguistic preference relations in multi-attribute group decision making and application

This paper studies the group decision making problem with linguistic preference relations. We first study the consensus measure between the individual preference relations and the collective (group) preference relation by defining the concept of degree of similarity between two linguistic values and two linguistic preference relations. Then we propose a concept of the acceptance consensus threshold value for group decision making with linguistic preference information. We show that the consensus between individual preference relations and the collective (group) preference relation is greater than the weighted similarity degree of a given individual preference relation with respect to other individual preference relations in group decision making with linguistic preference relations. The results will help in the analysis of crucial issues of conflict and agreement among preferences of decision-makers, which affect the consensus of group decision making with linguistic preference relations. Theoretical foundations are then established for the proposed method. Finally, the proposed method is applied to evaluate the degree of consensus of individual overall preference values with respect to the collective overall preference values for multi-attribute group decision making with linguistic information. The main contribution of this paper is twofold. One is to present a new way to measure the consensus between the individual preference relations and the collective (group) preference relation in group decision making with linguistic preference information. Another is to provide an effective approach to evaluating individual overall preference values with respect to the collective overall preference values in multi-attribute group decision making with linguistic information.     

基于混合定向方式的移动定向广告投放策略研究

以移动广告为研究背景,研究地理定向和消费者产品偏好定向相结合的混合定向方式下企业的定向广告投放策略,同时通过对比企业投放定向广告与大众广告,研究企业的广告策略选择问题。研究发现,企业运用定向广告策略应针对不同的消费者群体提供差异化较大的营销策略:对属于企业近距离范围且偏好企业产品的优势市场,企业应加大广告投放力度并实行高价;为了争取部分远端劣势市场的收益,企业应向其投放一定力度的广告并实行低价;对属于双方的竞争市场,企业应选择中等程度的广告和价格。同时,通过与企业投放大众广告相比较,发现竞争企业使用定向广告策略反而不如使用大众广告策略。     

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。     

消费者异质需求下企业环境创新行为演化模拟与分析

企业环境创新对于从根本上解决环境问题,实现可持续发展具有重要意义。随着环境问题的日益严峻,消费者对产品环境属性的异质偏好有可能成为企业环境创新的重要驱动力。本文基于消费者异质需求视角,运用计算实验方法,构建具有不同创新态度、创新偏好和可支配资金的异质企业主体,以及对产品价格、质量、环境属性具有不同偏好的异质消费者主体,模拟消费者产品选择及企业环境创新过程,并通过个体消费者异质需求的变化反映市场需求的动态演化及其对企业环境创新行为的影响,探索绿色需求对企业环境创新行为影响的内在机理及演化规律。实验结果表明,消费者对产品属性的异质偏好影响企业环境创新绩效;虽然短期内环境创新行为不利于企业提高经济绩效,但当绿色需求水平较高时,环境创新引起市场结构变化,环境创新企业通过先动优势实现环境绩效与经济绩效的"双赢";由于企业环境创新风险与绿色需求水平显著相关,为推动企业环境创新,政府在采取必要的激励或补贴政策的同时,更应引导消费者重视产品环境属性,以推动企业持续的环境创新行为。以上研究对于揭示异质需求下企业环境创新行为的自组织演化规律具有重要的理论意义,可为政府系列政策措施的出台提供科学依据。     

Sustainable consumption and third-party certification labels: Consumers’ perceptions and reactions

Compared with conventional products, sustainable products continue to attract relatively lower market shares. To increase customer acceptance, many sustainable products feature third-party certification labels (TPCL), yet it is unclear whether TPCL are effective and what processes and boundary conditions define their role in consumer decision making. Across three experimental studies, this research determines that sustainable products are characterized by credence qualities, associated with increased perceptions of risk, which negatively influence consumers' purchase intentions. Drawing on signaling theory, this study also shows that TPCL on sustainable products provide brand-like information cues that reduce the perceived risk of sustainable products. Finally, a third experimental study demonstrates that consumers must perceive TPCL as credible for them to reduce consumers’ risk perceptions.     

基于OWG算子的不同形式偏好信息 的群决策方法

具有不同形式偏好信息的群决策是决策分析及群决策支持系统研究的一个新课题,它对 于进一步提高群决策支持系统的实用性和灵活性方面具有重要意义. 针对这类群决策分析,提 出了一种具有效用值、序关系值、模糊互补判断矩阵、互反判断矩阵等4 种形式偏好信息的群 决策方法. 在该方法中,首先给出了将不同形式的偏好信息均转化为互反判断矩阵形式的计算 公式;然后基于OWG算子将各决策者的偏好信息集结为群的偏好并进行方案的优选;最后给 出了一个算例.     

The market for genetically modified foods: consumer characteristics and policy implications

Conjoint analysis was used to explore consumer preferences for food products that are the product of genetically modified organisms (GMOs). The results of a cluster analysis indicated that consumers fell into three homogeneous groups based on their preference for a branded, low-priced, or GMO-free product. There were some differences between the segments based on the sociodemographic characteristics of age, education, and income. However, consumers in the segment that wished to avoid GMOs were most easily distinguished from consumers in the other two segments based on their high level of risk averseness and belief that GMOs do not positively affect the quality or safety of food products. Implications for food marketers and policymakers are discussed.     

零售商信息禀赋优势下制造商电商直销渠道决策

在供应链中由于零售商相比制造商掌握更多消费者信息,能够对市场需求进行预测,因此制造商在建立直销渠道决策时往往面临着市场需求信息的不对称。本文考虑一个由单个制造商和单个零售商组成的供应链,其中零售商向制造商订购产品并销售给终端市场,制造商可能建立直销渠道将产品直接销售给消费者。通过构建制造商无入侵、对称信息下和不对称信息下制造商入侵三种情形下的博弈模型,本文分析了制造商建立直销渠道决策和零售商的订货决策。研究发现,尽管零售商具有信息禀赋优势,制造商建立直销渠道总是能够获得更多的利润,并且在信息不对称情况下制造商建立直销渠道获得的利润大于在信息对称情况下获得的利润。而零售商与之相反,在制造商掌握市场预测信息的情况下零售商的收益更高,供应链总收益在对称信息的情况下最高。进一步考虑制造商按照自身信息禀赋进行备货量决策的情况,可以得到按照自身信息禀赋与零售商同时决策时制造商建立直销渠道的利润大于信息对称和信息不对称两种情况下的利润。     

RUTA: A framework for assessing and selecting additive value functions on the basis of rank related requirements

In this paper, we present a new preference disaggregation method, called RUTA, which infers a set of additive value functions from the preference information referring to the desired ranks of some reference alternatives. Real-life experience indicates that people willingly refer to the range of allowed ranks that a particular alternative should attain, or to constraints on the final scores of the alternatives. We develop a mathematical model for incorporating such preference information via mixed-integer linear programming (MILP). Then, we discuss how decision making could be supported with the use of the already proposed extreme ranking analysis (ERA), which indicates the best and worst ranks gained by each alternative over the set of compatible preference model instances. We also introduce a new interactive UTA-like technique, which aims at selecting a single value function representing the outcomes of ERA. In the interactive process, the decision maker (DM) is assigning priorities to different pre-defined targets, which are built on results of ERA, and refer to the comparison of the best and/or worst ranks for pairs of alternatives. In particular, the DM may choose to emphasize or neglect the advantage of some alternatives over the others, in terms of results of ERA. In this way, one obtains a synthetic representation of extreme ranking analysis at a higher level of abstraction.     

考虑市场细分的零售商自主以旧换新策略研究

在越来越多企业开始自主推行以旧换新业务的背景下,本文从供应链的视角出发,构建考虑市场细分和消费者效用的策略模型,研究零售商自主以旧换新策略选择及相应的供应链决策问题,着重分析市场细分和旧产品折旧程度对策略选择、决策和供应链效率的影响.研究发现:零售商的策略选择除了受产品制造成本影响外,还依赖于外部客户比例和旧产品折旧程度;当老客户占比和旧产品折旧度处于某区域时,自主以旧换新策略优于无以旧换新策略;在某些情况下,制造商的期望策略与零售商的最优策略相悖;供应链效率受客户比例和旧产品折旧度影响.此外,当老客户占比或旧产品折旧度高于某阈值时,老客户对主体的利润贡献大于新客户.本文的研究结论对企业在供应链环境下推行以旧换新政策有一定的理论指导意义.