Celebrity endorsements: Investigating the interactive effects of internalization,identification and product type on consumers’ attitudes and intentions

In line with Kang and Herr's work (2006), this research questions the ELM's contention that celebrity credibility serves foremost as a peripheral element in a persuasive communication context. Nevertheless, in a different light to the Kang and Herr's ‘either-central-or-peripheral-role’ of a source characteristic, this research advances that celebrity credibility plays concomitantly central and peripheral roles in a persuasive message context depending on product involvement and brand-purchase motive. Particularly, this research uses the notions of ‘source internalization’ and ‘source identification’ (Kelman, 1961) to theorize that source credibility can have a concomitant dual role (peripheral and central) in a persuasion context. More precisely, this research investigates the interactive effects of source identification and internalization with product involvement as well as brand-purchase motives on consumers' attitudes and intentions. Source internalization is predicted to have persuasive effects in the contexts of high-involvement as well as informational products. Source identification is predicted to have persuasive effects in the context of low-involvement as well as transformational products. The findings of two experiments show that celebrity credibility acts through only a single route (i.e., only internalization has persuasive effects) uniformly across different product involvement levels and brand-purchase motive types. We interpret these results with the lens of the ‘match-up’ hypothesis (Kamins, 1990).     

Low-carbon decision-making model of online shopping supply chain considering the O2O model

A demand function of online shopping supply chain based on online-to-offline (O2O) fusion degree is proposed by considering the low-carbon awareness of online shoppers in view of the low-carbon decision making of supply chain in combination with the O2O operation background. On this basis, a low-carbon decision-making model based on online stores and their suppliers is established, and the application of the model is analyzed. Results show that the promotion of low-carbon operation is efficient when the consistency of online and offline operations of online stores and their suppliers is high. In addition, the decision making considering the cost of carbon information release is highly conducive to improving the low-carbon awareness of online shoppers if the low-carbon level of online shopping goods is lower than the low-carbon standard. Accordingly, the low-carbon operation of online shopping supply chain will be promoted.     

In‐store shopping hassles: Conceptualization and classification

A positive shopping experience provides retailers with a competitive advantage. However, retail environments pose numerous hassles that may negatively affect consumer experiences. Integrating perspectives from attribution theory and expectation theory, we examine the concept of shopping hassle and how it differs from that of retail service failure. Furthermore, we utilize qualitative approaches to explore what shopping episodes consumers perceive as hassles. Conducting semi‐structured in‐depth interviews in Study 1, we develop a classification framework of in‐store shopping hassles. In Study 2, we use a critical incident technique approach to gain a further understanding of types of shopping hassle.     

重要客户损害了审计独立性吗?——来自中国证券市场的经验证据

审计独立性的经济理论认为审计师牺牲独立性的动机与客户的重要性有关。本文选取了2001—2002年间1297家收到标准无保留意见的上市公司为研究样本,使用审计师是否从事了审计意见购买行为作为审计独立性的衡量指标,考察了重要客户与审计独立性之间的关系。研究发现,重要客户的确对审计独立性造成了损害,而当审计师预期到其丧失独立性的行为在事后被发现的可能性较大时,审计独立性受到损害的可能性较小。     

关于旅游购物发展的研究——以贵州省为例

旅游购物对一国旅游收入的增长具有重要作用,也是发展潜力最大的领域之一。发展旅游购物对于一个国家的旅游经济发展而言至关重要。了解旅游购物的发展规律,总结成功经验,对于希望通过发展旅游购物,带动旅游经济增长的地区和国家而言至关重要。     

基于预期不确认理论和技术接受模型的网络购物顾客满意度影响因素分析

基于预期不确认理论和技术接受模型构建网络购物顾客满意度影响因素模型,将顾客满意度影响因素分为五个维度:个体创新性、顾客期望、网站特性认知、质量与服务感知和网购接受程度。通过结构方程模型方法进行验证,结果支持该模型及大多数假设,其中顾客期望、网站特性认知、质量与服务感知和网购接受程度均显著影响顾客满意度,个体创新性对顾客满意度的影响并不显著,并且网站特性认知、质量与服务感知和网购接受程度之间的假设关系得到验证。     

Crowding in the time of COVID: Effects on rapport and shopping satisfaction

Decades of research in marketing has established that crowding (human and spatial) in retail contexts significantly affects shopping satisfaction. Prompted by the profound changes in retail supply and demand due to the Covid-19 pandemic, this study expands knowledge in two ways: uncovering new relationships and replicating some of the critical findings previously demonstrated in the pre-pandemic context. Two studies (Study 1 scenario and Study 2 actual shopping trip) show that higher levels of human crowding results in lower levels of shopping satisfaction, and this effect is mediated by a new construct introduced into the crowding literature, namely, customer rapport with employees, emerging as a significant factor in the pandemic era. Importantly, the results show that these relationships differ according to customers’: a) perceptions about the appropriateness of retailer precautions, b) beliefs about the severity of threat that the pandemic presents, and c) perceived vulnerability to Covid-19, all of them new to crowding dynamics during the time of Covid. Finally, with Study 2, we replicate and extend selected findings from prior research on crowding. Overall, the results expand our understanding of crowding effects and provide novel insights in the “new normal” retail context.     

Exploring the core factors of online purchase decisions by building an E-Commerce network evolution model

With the continuous development of the Internet and information technology, online shopping has become a popular purchase mode. The in-depth analysis of consumer decision-making in online shopping is an important issue. Our purpose is to study how the factors of the shopping web pages corporately affect online purchase decisions and determine which are the core factors that affect consumer purchase decisions. We screen the influencing factors on the shopping webpage and deploy e-commerce network evolution based on various weight combinations of these factors to generate sales distributions of online products. By comparing these simulated sales distributions to the real data, the optimal weight of each factor is obtained. The results show that sales volume and the number of high-quality negative comments are the most important factors influencing consumers' decision-making, the number of comments and the number of comments with pictures are relatively minor factors, store type and video presentation of the products have the least impact. The optimal simulated sales distribution is very close to the real case and verifies that the introduced network evolution technology is applicable. The proposed model can be used as a uniform evaluation platform for correlational study, which is an important link in the purchase research chain.     

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.