The effect of shopping goals and in-store mobile device use on purchase outcomes in brick-and-mortar stores

The present study examines the effect of using a mobile device on search and evaluation by a shopper in a brick-and-mortar store. A conceptual model that proposes inter-relationships between shopping goals, the amount and type of in-store mobile device use, and purchase outcomes is developed. Data from a national quota sample of 1034 mobile shoppers is used to test hypotheses derived from the proposed model. The findings provide several new insights into the impact of in-store mobile device use on the consumer decision journey in a brick-and-mortar store. Depending upon the shopping goals of the consumer, the use of a mobile device by shoppers in a brick-and-mortar store can either decrease or increase search, lead to more deferred purchases or in-store-now purchases, and more online or physical store purchases. The study is among the first to model the pathway to purchase for mobile device assisted shoppers in brick-and-mortar stores.     

How anticipated pride and guilt influence green consumption in the Middle East: The moderating role of environmental consciousness

This research empirically tests the combined effect of anticipated pride, anticipated guilt, and environmental consciousness in parallel to the Theory of Planned Behavior's main components on green purchase intention. For the first time, it also explores the interaction of environmental consciousness, anticipated pride, anticipated guilt, and attitude, respectively, on green purchase intention. Analysis of 304 responses collected from consumers in the United Arab Emirates revealed that environmental consciousness, attitude towards green products, anticipated pride, and anticipated guilt positively influence the intention to purchase green products, but not perceived behavioral control and subjective norms. Interestingly, anticipated pride increases green purchase intention under low level of environmental consciousness, while anticipated guilt decreases purchase intention. In contrast, anticipated guilt positively influences green purchase intention under high environmental consciousness, while anticipated pride does not. This study extends current knowledge related to green purchase behavior and provides a nuanced understanding of the influence of anticipated emotions. It also provides practical implications for marketers in the Middle East to formulate effective strategies to stimulate green products consumption.     

Economic corollaries of personalized recommendations

The impact of recommendation systems (RSs) on the diversity of consumption is not transparent or well understood. Available studies, whether experimental or theoretical, show inconsistent and even opposite results, which manifests as debate in the literature. In this paper, we investigate the impact of two main recommender systems, neural collaborative filtering and deep content filtering, on sales diversity via a randomized field experiment. Our results confirm the capability of recommender engines in increasing or decreasing aggregate sales diversity. Nonetheless, they amplify homogenization and reduce individual-level consumption diversity. In conclusion, our research reconciles seemingly contradict previous findings and illustrates that the design of the RS is the decisive factor in homogenizing or diversifying product sales.     

The roles of multiple channels in predicting website visits and purchases: Engagers versus closers

In today’s online environment, consumers and sellers interact through multiple channels such as email, search engines, banner ads, affiliate websites and comparison-shopping websites. In this paper, we investigate whether knowing the history of channels the consumer has used until a point of time is predictive of their future visit patterns and purchase conversions. We propose a model in which future visits and conversions are stochastically dependent on the channels a consumer used on their path up to a point. Salient features of our model are: (1) visits by consumers are allowed to be clustered, which enables separation of their visits into intra- and inter-session components, (2) interaction effects between channels where prior visits and conversions from channels impact future inter-session visits, intra-session visits and conversions through a latent variable reflecting the cumulative weighted inventory of prior visits, (3) each channel attracts inter-session and intra-session visits differently, (4) each channel has different association with conversion conditional on a customer’s arrival to the website through that channel, (5) each channel engages customers differently (i.e., keeps the customer alive for a next session or for a next visit within a session), (6) the channel from which there was an arrival in the previous session can have an enhanced ability to generate an arrival for the same channel in the current session (channel persistence), and (7) parsimonious specification for high dimensionality in a low-velocity, sparse-data environment. We estimate the model on easy-to-collect first-party data obtained from an online retailer selling a durable good and find that information on the identities of channels and incorporation of inter- and intra-session visits have significant predictive power for future visitation and conversion behavior. We find that some channels act as “closers” and others as “engagers”—consumers arriving through the former are more likely to make a purchase, while consumers arriving through the latter, even if they do not make a purchase, are more likely to visit again in the future or extend the current session. We also find that some channels engage customers more than others, and that there are interaction effects between the channels visited. Our estimates show that the effect of prior inventory of visits is different from the immediate prior visit, and that visit and purchase probabilities can increase or decrease based on the history of channels used. We discuss several managerial implications of the model including using the predictions of the model to aid in selecting customers for marketing actions and using the model to evaluate a policy change regarding the obscuring of channel information.     

定点采购存在的问题与对策分析

“定点采购”方式在全国各地使用的比较普遍,将其作为政府采购的一种重要补充形式,也很有适用价值。本文分析了定点采购中存在的一些亟待解决的突出问题,并提出了“二次竞争”机制、“采购卡”约束机制、“背靠背”评审机制等切实可行的对策,对定点采购的规范运作提供了思路。     

基于交易成本的消费者网络购物意愿的实证研究

首先对网络购物中的交易成本相关研究进行文献综述,在此基础上,建立网络购物中消费者交易成本影响因素的相关研究假设,运用PLS—SEM模型的研究方法,采用问卷调研获取的数据,对消费者网络购物意愿进行了实证分析。研究表明,购买频率和不确定性显著地影响交易成本,不确定的影响作用较大,并最终对购买意愿产生影响。     

国际企业采购新模式

互联网技术的飞速发展,对企业的国际采购模式的创新有着巨大影响,无疑为目标的实现提供了最佳的途径和契机。企业传统采购方式向网络采购方式转型,应结合自身实际,科学选择自用采购、采购联盟以及中介采购网站等采购模式,从而保证大幅降低企业运营成本,提高企业利润,保证企业生产流程的顺利进行。同时,要加强管理,避免暗箱操作等灰色采购行为的发生。     

影响消费者购买意愿的零售店铺环境因素研究

消费者购买意愿与零售店铺环境因素相关。实证研究表明,店铺环境中的背景要素、社交要素、产品要素、设施要素和设计要素影响消费者购买意愿。零售管理者可以从整体上把握零售环境的构成维度,调控环境因子能有效提高顾客购买体验和购买意愿。     

多渠道零售商非价格策略对在线购买行为的影响研究

文章分析了B2C多渠道环境下零售商非价格策略对消费者在线购买行为的影响。实证数据分析显示,在线信任对在线购买行为具有显著影响,零售商声誉和渠道协调通过在线信任对在线购买行为产生间接影响,网站互动性和消费者保护对在线购买行为既有间接影响又有直接影响,这些研究结果为开展多渠道零售提供了重要启示。     

土地征购的探讨

土地征用问题是我国土地制度中的一个难题,一直没有得到很好的解决.通过资料的收集整理、文献分析,在明确界定公共利益范围的基础上,提出了构建土地征购制的设想,并初步建立了一套土地征购体系.随后分析了土地征购制的优越性,认为土地征购是目前解决集体土地合法入市的方式之一,可以在此基础上建立农村土地市场,部分解决城乡二元化问题,最后围绕土地征购制的建立提出了相关的对策建议.