论"超越期望"在市场服务中的作用

服务质量的高低并不是由企业自己单独决定,对它的评价往往更多地取决于顾客的期望,顾客感知服务质量主要是通过服务的两类属性实现的:技术性质量和功能性质量.顾客对服务产品质量的判断取决于顾客预期的质量和实际感觉到的质量之间的对比,合理管理顾客期望,是企业服务质量管理的一项重要内容.优秀的服务质量不能停留在简单地满足顾客期望的水平上,必须超越顾客的期望.     

缩小服务差距 提高顾客满意度——以零售业为例

现实中,有的零售商虽费尽心思向顾客提供服务,但最后顾客对服务的感受还是低于顾客的期望,即存在服务差距。零售商要缩小服务差距,提高顾客满意度,必须采取切实可行的措施。     

顾客感知视角下网络零售价格促销策略

网络零售竞争日渐激烈,零售商价格促销方式多种多样,不同的促销活动使得顾客对于商品的质量及价值感知存在差别,顾客对于价格促销的敏感度降低。为更好地适应电商时代,网络零售商在进行价格促销时必须仔细研究现有顾客感知,探求有效对策。     

浅谈服务营销中的顾客期望管理

顾客期望顾客评估服务绩效的主观标准和参考点,是评价服务质量的关键,顾客期望的形成受到来自顾客、企业和市场等多种因素的影响,通过深入调研、顾客期望定位等策略管理顾客服务期望,能帮助企业提升客户满意度和忠诚度,实现企业服务营销目标。     

网络零售商服务质量评价模型

科学、规范的评价模型是促进网络零售商持续提高服务质量的关键。本文认为,建立零售商服务质量评价模型,应遵循以顾客感知为中心、动态性及系统性和层次性相统一的原则。与传统的Servqual模型相比,模糊评价模型更加实用、有效。     

缩小服务差距提高顾客满意度——以零售业为例

现实中，有的零售商虽费尽心思向顾客提供服务，但最后顾客对服务的感受还是低于顾客的期望，即存在服务差距。零售商要缩小服务差距，提高顾客满意度，必须采取切实可行的措施。     

饭店顾客期望研究

饭店顾客期望是饭店评估服务绩效的标准和参考点。服务质量的优劣取决于感知服务质量与期望的对比,因而饭店服务的质量好坏在很大程度上是由顾客期望所决定的。本文探讨了顾客期望的含义及影响饭店顾客期望的关键因素,并在泽丝曼尔等人对顾客期望研究的基础上,探讨了饭店顾客期望管理的相关策略。     

网络零售商服务质量的评价标准

服务质量问题是目前制约网络零售健康发展的瓶颈,网络零售商必须建立一套系统、科学的服务质量标准。本文结合服务质量一般评价标准,针对网络零售商提出了一个简要的服务质量评价标准体系,并分析了它的特殊性所在。     

服务感知与期望及质量控制

服务质量不仅取决于企业实际提供的功能质量和技术质量,而且还取决于顾客的期望与感知之间的对比。本文分析了顾客感知的五个维度、顾客期望的三种类型及其控制、感知与期望之间的差距,并提出了相应的对策。     

基于SERVQUAL模型的崇明农家乐旅游服务质量研究

崇明农家乐旅游是上海生态旅游,乡村旅游发展的重要区域。为明确崇明农家乐旅游服务质量的主导因素和服务质量的顾客感知水平,借助SERVQUAL模型,从游客感知视角,采用主成分分析等定量研究方法,建立5个服务质量维度,24个指标,包括硬件设施、服务等。对崇明农家乐旅游服务的顾客感知质量与顾客期望质量进行分析,分析目前存在的问题,提出提升崇明农家乐旅游服务质量的对策,进而为崇明生态农业旅游经济发展提供一些建设性参考。     

Improving candy industry competitiveness: Retailers’ perception regarding customer satisfaction

This study aims to classify service quality elements in candy industry in order to determine their instrumentality to customer satisfaction. To address this purpose, a Fuzzy Kano questionnaire was distributed to 512 major retailers of candy products of four predominant candy companies in Iran. Subsequently, we calculated satisfaction increment index (SII) and dissatisfaction decrement index (DDI) for each of the quality elements. Brand name and quality are considered as must-be elements, while availability of credit purchases is considered as indifferent element by the majority of retailers. Eight out of 24 studied elements are found to be considered as attractive elements by majority of customers. Regular visits element ranks first in terms of satisfaction increment index (SII). This paper provides helpful insight for marketers to prioritize improvement of different quality elements. Therefore, this paper helps organizations to perceive their customers needs more thoroughly and improve their customer satisfaction policy.     

Differences in Customers’ Online Service Satisfaction Across Cultures: The Role of Thinking Style

ABSTRACT

Online retailers constantly strive to improve customer satisfaction. However, satisfaction levels can vary significantly across cultures when customers experience mixed quality services, that is, services with a mixture of high and low quality service attributes. Based on two studies, we find that Westerners (e.g., European Americans) react more negatively than East Asians (e.g., Chinese) toward mixed quality online services. Our findings show that due to differences in thinking style, Westerners (analytic thinkers) are more likely to focus on negative service attributes than East Asians (holistic thinkers), who tend to consider the amalgam of high and low quality service attributes as an integrated whole when forming their overall perceptions and levels of satisfaction. Moreover, the results suggest that for online retailers marketing across cultures, providing superior quality on each individual service attribute may be more important to achieving satisfaction for customers from Western rather than Eastern cultures.     

Managing Service Expectations in Online Markets: A Signaling Theory of E-tailer Pricing and Empirical Tests

Expectations play a significant role in determining customer perceptions and satisfaction. Accordingly, retailers seek to manage customers’ service expectations. However, the tangible signals of service quality that are available to brick-and-mortar retailers (such as location, store appearance, and salespersons’ behavior) may not be available in online markets. Using a signaling model, we obtain conditions when Internet retailers (e-tailers) use price to manage their customers’ service expectations. In contrast to extant theory, we find that it is possible for both low and high service e-tailers to use price in signaling their service levels. Further, we develop an appropriate deductive test of our theory based on price-ending patterns as an artifact of the signaling process. Based on this test, we find evidence that e-tailers indeed manage service expectations using price. Interestingly, we also find preliminary evidence that suggests customers implicitly associate price-ending patterns with a retailer's expected service level. We discuss several other implications of our findings for researchers and managers.     

A study of e‐retailing management: analysing the expectations and perceptions of Spanish consumers

This article analyses various elements that influence the purchasing behaviour of online consumers. These elements include the aesthetic aspects of a web site and the interactive processes that take place at the time of purchase. The study analyses the expectations and perceptions of a sample of Spanish online customers. On the basis of these attitudes, the sample of respondents is segmented. In addition, the main factors that determine online service satisfaction are identified. The segments of respondents are then positioned with respect to these identified factors in online service quality. The analysis thus allows differentiation of both customers and service quality. The paper concludes with recommendations for online retailers who wish to operate a successful ‘virtual’ retail outlet.     

Does relationship quality matter in e-services? A comparison of online and offline retailing

The quality of the relationship between customers and service firms has been found to be a major driver of customer loyalty in traditional (i.e., offline) service contexts. The increasing use of electronic services, or e-services, raises questions concerning the extent to which the relationship quality-customer loyalty link holds in an e-service context. Based on an extended model of relationship quality and by applying the social information processing perspective, this research tests the relevance of relationship quality for online relationships and explores differences of the relationship quality-loyalty link between online and offline retailers. To test the model, a large-scale study is conducted on both online and offline relationships for two service contexts (media and travel retailing). Using multi-group structural equation modeling, the authors identify differences between the online and offline environment in both service contexts. Results show that (1) relationship quality is similarly important for retaining customers online and offline and (2) differences in the impact of relationship-quality dimensions strongly depends on the service context.     

Electronic Logistics Service Quality (e‐LSQ): Its Impact on the Customer’s Purchase Satisfaction and Retention

The Internet retailing industry continues to grow rapidly. Several Internet retailers are, however, struggling to retain customers due to the high level of competition among incumbents. We propose that customer satisfaction with the order fulfillment process is an important determinant of overall customer satisfaction with the retailer, as well as with the extent of customer retention enjoyed by the retailer. This paper offers a new concept for electronic logistics service quality and investigates the relationship between the quality of online fulfillment and the ensuing retention of customers, using archival data on 260 online retailers. The structural equation model results indicate that satisfaction with the physical distribution quality and cost are positively related with customer’s purchase satisfaction and customer retention. Additionally, the results indicate that while purchase satisfaction is a strong indicator of customer retention, underlying drivers of purchase satisfaction do not have nearly the same impact on customer retention directly as they have on purchase satisfaction.     

Managing a Global Retail Brand in Different Markets: Meta-Analyses of Customer Responses to Service Encounters

This study investigates how retailers can leverage their brand to shape customers’ satisfaction with service encounters. It develops and tests hypotheses about how brand, store, and consumer factors moderate customer responses to experience clues during retail service encounters. Six meta-regression analyses synthesize and compare results from 842 satisfaction equations describing customers’ encounters with a global retailer operating 400 stores in 32 countries. The results show how customers weigh their perceptions of service encounters differently depending on brand, store, and consumer factors. In markets where customers believe the retailer has high holistic brand quality, they place less weight on experience clues within the store. In markets where customers believe the retailer’s service brand promise, they place more weight on in-store experience clues. In markets where the retailer promises utilitarian value, customers weigh functional experience clues more heavily. In markets with an online purchasing channel, the effect of experience clues common to offline and online store environments is magnified, and unique clues are diminished. In addition, customers heavily weigh experience clues that fit their goals. In general, retail success factors include high brand quality (which makes customers more forgiving), a service brand promise that is mirrored in the store image (which makes customers attend to the experience clues aligned with them), and the careful monitoring and managing of retail touchpoints (to customize experience clues to each market). In this way, retailers can use customer-based strategies to effectively design and manage their global retail brand in different markets.     

Online service personalization for apparel shopping

This study explores the dynamics of online service personalization in the online apparel retailing context, with regard to customers’ actual online shopping activities. From an empirical study of American Internet shoppers (n=204), three types of widely-used online service personalization, that is (i) offer, (ii) recognition, and (iii) personal advice, were identified. Moreover, grounded by the Theory of Reasoned Action [Fishbein, M., Ajzen, I., 1975. Belief, Attitudes, Intention, Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading, MA], relationships between customers’ online service personalization attitudes and their online shopping activities—regarding apparel items—have been investigated. Findings of this study empirically present the dynamics of online service personalization in the context of online apparel retailing. Also, the results show that customer online shopping experiences may impact on their online service personalization attitudes. Theoretical and managerial implications are also discussed regarding online service management. Based on the results, Internet-based apparel retailers may benefit from developing various types of personalization services by enhancing shopping intentions of their customers, in particular, of those who are loyal to the retailers.     

The effects of 3rd party consensus information on service expectations and online trust

The marketing literature has recently explored a number of ways in which trust can be communicated by Internet retailers, including 3rd party consensus ratings. This paper explores the impact of consensus sequences over time and across high and low ranges, rather than the mere valence of ratings as presented in past research. Second, effects are compared across products with variant levels of risk. Two experiments investigate service quality inferences, expected satisfaction, and trust beliefs for online retailers as outcomes of 3rd party consensus information (i.e., agreement among a firm's past customers). Results indicate that online trust beliefs vary positively with consensus ratings and trust is higher when ratings trends increase rather than decrease. Service quality inferences and expected satisfaction are shown to mediate these relationships. More interestingly, results of study two suggest sequence direction becomes insignificant when ratings do not approach certain range limits (e.g., high, moderate, low cut-offs). Comparisons across products varying in risk show that consensus ratings are more important when consumers evaluate high risk products. Implications for both researchers and practitioners are offered.     

Impact of customers' assessment of website attributes on e-relationship in the securities brokerage industry: A multichannel perspective

The paper focuses on the comparison between pure e-retailers and multichannel retailers' customers and how they differ in their evaluations of functional and relational attributes of the website, as well as how these attributes impact online relationships. An online survey among online securities investors was conducted. Subjects were self-selected from blogs and forums dedicated to personal finance. A total of 326 questionnaires formed the final sample of this study. By using a series of univariate analyses of variance, structural equation modeling, and multi-group analysis, this research empirically demonstrates that the e-service quality evaluation and determinants of online relationship are different in multichannel contexts versus pure online ones. Results show that customers of multichannel retailers are not more loyal than those of pure online retailers. However, multichannel retailers exceed pure online retailers at achieving a higher level of online trust and a higher assessment of website features. The paper concludes with managerial implications that may be useful in multichannel retailing.