Understanding Customer Engagement and Loyalty: A Case of Mobile Devices for Shopping

This study aims at developing and validating a measurement model for customer engagement with specific focus on mobile devices for shopping. Further, role of customer engagement in building customer loyalty is explored. The research in this investigation used three studies for developing customer engagement scale and validating the proposed model. The study involved data collection from experts and users through varied methods including in-depth interviews, and surveys. Further structural equation modeling was used to analyze the data. Findings of this study include development and validation of customer engagement as second order construct arising out of six different customer experiences - social-facilitation, self-connect, intrinsic enjoyment, time-filler, utilitarian and monetary evaluation experiences. Further, the study established significant role of customer engagement in predicting customer loyalty in addition to existing constructs of satisfaction and convenience. This study contributes to evolving scholarly research on customer engagement. This study further provides a framework to retailers for devising matrices to track experiences and engagement of customers on mobile devices for shopping. Further, retailers may be able to use customer engagement to differentiate themselves from competition in attracting merchants and advertisers.     

Change in technology-enabled omnichannel customer experiences in-store

This paper explores changes in technology-enabled omnichannel customer experiences in stores over a five-year period (2014–2019). It contributes to the omnichannel-experience-management literature through customer technology-enabled touchpoints within fashion retail. Adopting an exploratory qualitative approach, primary data were obtained using semi-structured interviews with millennial consumers. The findings demonstrate the growing importance of implementing and integrating in-store technologies to improve customer experience. From these, two models are developed: “technology-induced customer experience in-store”; and “technology-enabled customer shopping journey in-store”.     

What (de) motivates customers to use AI-powered conversational agents for shopping? The extended behavioral reasoning perspective

Artificial Intelligence (AI)-powered conversational agents have become ubiquitous tools in the digital transformation of conventional customer-company interactions. Despite the widespread implementation of Artificial Intelligence (AI)-powered conversational agents, there is still a limited understanding of how customers use and resist these technologies for shopping. To address this gap, this study investigates factors that influence the usage and resistance of AI-based conversational agents for shopping using the extended behavioral reasoning theory (BRT) and partial least squares-based structural equation modeling (PLS-SEM). To test the proposed framework, this study conducted two empirical studies in South Korea. Study 1 focused on text-based chatbots with a sample of 232 participants, while Study 2 examined voice-based chatbots with a sample of 234 participants. The results of the both studies mainly supported the hypotheses driven by the extended BRT. Theoretically, this study contributes by offering a comprehensive understanding of customer motivation, attitudes, and behavioral intentions toward the use of AI-powered conversational agents in shopping. Managerially, this study provides important insights for retail managers and developers of AI-powered conversational agents for shopping. By understanding the factors that drive customer usage and resistance, managers, and developers can better design and deploy these innovative technologies to enhance the customer experience and improve business outcomes.     

Hedonic shopping motivations in collectivistic and individualistic consumer cultures

We reinvestigate what constitutes hedonic customer experiences in collectivistic versus individualistic cultures using four country samples (N=2,336) in Germany and the U.S. as well as Oman and India. Across country samples, intrinsically enjoyable customer experiences are associated with the same underlying hedonic shopping motivations as shown in the original U.S. context. In comparison with individualistic cultures, we find that a hedonic shopping experience in collectivistic cultures is less strongly associated with selforiented gratification shopping, yet more strongly associated with others-oriented role shopping.     

Exploring an in-store customer journey for customers shopping for outdoor apparel

The omni-channel shopping phenomenon creates major challenges for brick-and-mortar stores to remain relevant and appeal to customers. A way to counteract these challenges is to offer customers a journey where in-store experiences enable them to encounter numerous physical and virtual touchpoints evoked by affective, cognitive, physical, relational, sensorial and symbolic responses. This study ascertained the customer journey activated by the experiences causing value and resulting in intentions to revisit a retailer specializing in outdoor apparel. Our web-based survey collected 300 valid responses for analyses. The statistical analyses confirmed a positive relationship between the customer in-shop experience factors and the shopping trip value experienced, which in turn mediated the relationship with intention to repatronage. Some conclusions are made and various suggestions for future research are recommended.     

Customer Experience Management in Retailing: An Organizing Framework

Survival in today's economic climate and competitive retail environment requires more than just low prices and innovative products. To compete effectively, businesses must focus on the customer's shopping experience. To manage a customer's experience, retailers should understand what “customer experience” actually means. Customer experience includes every point of contact at which the customer interacts with the business, product, or service. Customer experience management represents a business strategy designed to manage the customer experience. It represents a strategy that results in a win-win value exchange between the retailer and its customers. This paper focuses on the role of macro factors in the retail environment and how they can shape customer experiences and behaviors. Several ways (e.g., promotion, price, merchandise, supply chain and location) to deliver a superior customer experience are identified which should result in higher customer satisfaction, more frequent shopping visits, larger wallet shares, and higher profits.     

Sources of customer satisfaction with shopping malls: A comparative study of different customer segments

Abstract

In spite of the growing importance of planned, centrally managed and enclosed shopping centres in the retailing sector, the understanding concerning sources and outcomes of customer satisfaction with this kind of shopping malls is limited. This paper develops and validates a conceptualisation of shopping mall satisfaction based on field studies in Sweden. The results show that eight underlying factors of varying character are important to customer satisfaction. These are selection, atmosphere, convenience, sales people, refreshments, location, promotional activities and merchandising policy. Furthermore, this study investigates whether sources of satisfaction differ in importance with respect to gender and age, generally two important variables for retail segmentation.     

How does shopping duration evolve and influence buying behavior? The role of marketing and shopping environment

This study investigates how promotional activities, mall size, and past shopping experiences affect customer shopping duration, and elucidates how shopping duration induces immediate, transient, and long-term effects on customer decisions of whether and how much to buy in the offline shopping mall format. We simultaneously model purchase incidence, purchase amount, and shopping duration to examine empirically the constructs’ dynamic impacts. The proposed model is calibrated using six-year-long transaction data of 43,326 customers that patronize malls operated by a large retail firm. The results reveal that shopping duration leads to an immediate increase in the amount spent by customers in a given period. The transient effects of shopping duration on purchase incidence and amount are significantly positive. However, in the long term, while purchase frequency appears to increase with cumulative shopping duration, purchase amount is negatively affected. Further, shopping duration increases with the size of the mall visited and the level of promotion but tends to converge to a lower level in the long term. Managerial implications for effectively managing customer experience are discussed.     

网购认知与顾客抱怨行为的关系研究

在网络购物过程中,顾客会因各种产品质量问题而感到不满意,从而产生抱怨行为。基于此,文章在网络购物背景下,分析顾客抱怨行为的影响因素,通过层级回归方法,重点探讨网购认知与顾客抱怨行为的关系。研究发现网购认知与顾客抱怨行为倾向之间存在正向关系,网购认知越高,顾客抱怨行为倾向越高。并且网购认知对向卖方抱怨、私下抱怨以及向第三方机构抱怨等三类抱怨行为均存在较大影响。因此电子商务企业应加强顾客抱怨管理,提升顾客满意度。     

The investigation on dimensions of e-satisfaction for online shoes retailing

Purpose—Online retailing has become a standard component in companies' multi-channel structure. This trend also involves an increasing number of experience attribute dominated products, which traditionally rely on brick-and-mortar retailers. These manufacturers have started to open their own online retail stores. This study identifies the key determinants of e-satisfaction at different stages of shoes online shopping process.Design/methodology/approach—We collect consumers' reviews about their online shopping experiences from online review websites. We use both qualitative and quantitative approaches to analyze the dataset, and investigate the complete process of consumers' e-tailing experiences.Findings—this research identifies the two key factors driving e-satisfaction of purchasing experience attribute dominated products online: product selection and customer service. In particular, our findings show that product selection is critical for e-satisfaction in the pre-purchase stage, and that customer service is more important in the post-purchase stage. Lastly, the study finds that manufacturers' websites often receive more negative reviews because of their poor service recovery strategies in the post-purchase period.Research limitations/implications—This study emphasizes the importance of adopting a dynamic approach by considering various stages of the consumer's online shopping experience. This study focuses on one specific experience good; the shoe industry.Practical implications—The results of this study are invaluable to firms interested in providing experience attribute dominated products online. Our findings indicate that product selection and especially post-purchase service are critical for a successful e-tailing.Originality/value—This paper emphasizes the importance of taking a dynamic view to investigate consumer's e-tailing experience. We adopt both qualitative and quantitative approaches in our study.     

Multichannel customer journeys and their determinants: Evidence from motor insurance

This study focuses on channel choices in motor insurance. Our aims are twofold: to fill a gap of empirical studies on the determinants of multichannel behavior in the insurance industry and to help companies improve their retail strategies by better predicting customers’ channel decisions. The paper adopts a broad set of personal and digital channels and several dimensions of customer profiling, including psychographic and channel-experience variables. We identify four different customer journeys, based on channel combinations. Our web-based survey, which has turned out 338 valid responses, shows that the majority of insurance customers adopt multichannel search behaviors. However, although most of the search is carried out through digital media, such channels generate low search-to-purchase conversion rates. Most customer journeys are, instead, finalized in the personal channels (namely, the insurance agents), thus evidencing an interesting webrooming effect. We test our set of hypotheses on the determinants of customer journeys with a multinomial logistic regression. Our findings show that multichannel journeys can serve several purposes: they may reflect the customer need to collect more information, the customer preference for shopping innovation, and his/her preference for shopping convenience. Corporate channel management strategies and practices shall consider such determinants and be revised accordingly.     

B2C电子商务企业如何提升顾客让渡价值的思考与分析

在电子商务环境下,网上购物环境发生了巨大变化,影响顾客价值的因素也随之发生变化,这导致了顾客感知价值的变化。根据顾客价值因素构建B2C电子商务环境下顾客让渡价值的概念化模型,电子商务企业应采取相应措施来提高总顾客价值,降低总顾客成本,从而提高顾客让渡价值。     

在线拍卖数据价格敏感度量化实证研究

近年来,以C2C为主要形式的中国网络购物发展迅速,价格成为影响网上消费者购物决策行为的主要因素之一,如何对消费者价格敏感度进行量化逐渐成为关注的焦点。以淘宝网一口价数据为样本,实证研究了网购用户价格敏感度的量化问题,进行了商品价格与信用度偏相关分析,旨在为商品定价提供了建议。     

Satisfaction of mall shoppers: A study on perceived utilitarian and hedonic shopping values

Declining consumer footfall and diminishing sales in Indian metro cities have guided the expansion of malls in cities of central India. Shoppers of these cities are unfamiliar with the mall concept and have limited exposure of shopping values in the past. The present research focused on the influence of utilitarian and hedonic shopping values on satisfaction of mall shoppers of central India Bhopal by establishing a proposed research framework based on 288 responses from two shopping malls, using utilitarian and hedonic dimensions of shopping values. Confirmatory factor analysis and structural equation modeling (SEM) are used to analyze and validate the proposed research framework. The result supports the relationship between shopping values and customer satisfaction, where both the shopping values show positive significant influences on customer satisfaction. Therefore this research paper would help mall owners to focus on these shopping values effectively and efficiently while planning malls in central India for gaining competitive advantage, attracting new customer and hold their profitable customers by enhancing customer satisfaction with shopping values in the current retail scenario.     

Drivers of customer satisfaction in the grocery retail industry: A longitudinal analysis across store formats

The design of satisfactory shopping experiences remains one of the main challenges for building long-term profitability in modern retailing. Therefore, companies are interested in identifying the key drivers of the service execution that shape customer shopping satisfaction. In this study, we developed a standardized questionnaire for evaluating the shopping experience, and conducted a large study in several grocery stores across different formats during a time span of five years. The resulting rich dataset enabled us to uncover interesting patterns using both individual and store-level analyses. Our results indicate that larger store formats are associated with greater satisfaction levels. When looking at the marginal effects of the various elements of customer service, we found that some specific elements of service execution present significant differences across store formats. In addition, we identified loss aversion on shopping experience, since poor performance impacts more on customer satisfaction than superior performance. Finally, our store-level analysis sheds light on how changes in the service performance determine changes in the shopping experience in the same store. These implied results may guide store and chain managers to evaluate the role of the store execution elements better, and to design the customer shopping experience successfully.     

The Contingent Effects of Semantic Price Cues

This research endeavors to understand the contingent effects of semantic price cues while taking into consideration several important contextual factors. These factors include where the customer encounters the semantic cue (in-store, at-home, online), whether the consumers’ shopping goal is hedonic or utilitarian in nature, the impact of shopping alone or with a companion, as well as the consumer's motivation to process the product information. Findings indicate that a within-store cue (compared to a between store cue) enhances evaluations when the shopping in a store with a utilitarian goal, when shopping alone, and when their motivation to process is low. A meta-analysis of the results demonstrates the robustness of the differential impacts of these semantic cues.     

网上购物顾客满意度研究

随着网上购物的逐渐普及,近年来针对网上购物的相关研究越来越多。基于顾客满意度理论,提出测量指标体系,通过定量分析及实证研究,得出结论：在网上购物过程中,导航简单明了、价格、注册过程、送货过程、产品质量、交付信息的安全性、对顾客抱怨的处理等因素的重要性较高,也是影响顾客满意度的主要因素。     

What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness

With the rapid diffusion of smart technologies, a new retail mode, the smart shop, has received increasing attention from both academia and practitioners in the 5G era. However, previous studies on smart shops have largely focused on the effects of smart technologies on technology adoption rather than customer shopping behaviors. To fill this gap, this study applies the hedonic information systems acceptance model (HISAM) to identify the utilitarian and hedonic motivations affecting consumer shopping intention. In addition, we characterize a second-order formative construct, technology readiness, as a technology-related personality to test its moderating role in the research model in the marketing context when consumer behaviors may differ due to individual characteristics. Using structural equation modeling (SEM), we applied SmartPLS 3.2.8 to analyze 298 valid samples. The results show that perceived ease of use significantly affects perceived usefulness and perceived enjoyment, in turn, these three factors directly influence shopping intention. Additionally, perceived ease of use will have a stronger impact on perceived usefulness and shopping intention when the customer has a high level of technology readiness. Finally, theoretical and practical suggestions and future research directions are also discussed.     

网络购物的经济学分析——成本与效用

将网络购物与传统购物方式相比较,并以此为基础,结合中国的现状,就中国普通消费者通过互联网购买单一商品的成本与效用做出分析。其中,成本是相对确定的,而效用却受到多个因素的影响。结论是在这种特定的网络购物方式下,消费者的净效用很不确定。     

Greater patience and monetary expenditure: How shopping with companions influences purchase decisions

Shopping with companions plays a crucial role in daily consumer activities. However, only a few studies have explored the influence of this factor on consumers’ patience. We conducted four studies, including two field studies, to investigate the effects of shopping with companions (e.g., friends and peers) on purchase decisions. We found that consumers exerted greater effort when shopping with friends and peers by spending more money and being willing to wait longer for a product. This effect could be explained by three mediators: positive emotions, negative emotions, and perceived value, in which the hedonic and social value, unlike the utilitarian value, played essential mediating roles. This study elucidates the underlying psychological processes involved in purchase decisions shaped by companions. Retailers should encourage shopping with companions to increase sales and customer retention.