Service with improper requests: How fellow customers interpret Employee's judgment call

In this paper, we examined the impact of different judgment calls by service personnel on service satisfaction, in response to inappropriate requests from customers. Based on the stereotype content model, we propose that employees servicing with these requests are often evaluated on two fundamental dimensions, warmth and competence, and the accessibility of one dimension over the other determines overall service satisfaction of fellow customers. Through three experiments, the current research shows that fellow customers perceive service employees who consent to an improper request as higher in warmth but lower in competence than those who reject the request. However, when the compliance has serious consequences for a fellow customer, this negatively affects the competence evaluation but not the warmth evaluation, which in turn reduce customer satisfaction. When the focal customer suffers from the serious consequences, this positively affect both competence and warmth perception, which in turn enhance fellow customer satisfaction. This research could be used to identify ways to handle improper requests made by customers.     

Engaging the unengaged customer: The value of a retailer mobile app

Mobile apps are becoming a go-to tactic for retailers because they offer the promise of highly convenient digital engagement. We hypothesize that two types of customers are best served by these apps — “offline-only” customers currently purchasing exclusively from the retailer's physical store, and “distant” customers who reside far from the physical store. For offline-only customers, the app complements the physical engagement they currently have. For distant customers, the app offers convenient engagement their remoteness currently precludes. We model app access and purchase behavior of 629 customers who downloaded a retailer's app. We find that apps generate more incremental sales among distant customers compared to near customers, and more incremental sales among offline-only customers compared to online customers. On an illustrative base of 100 K app users, we find accessing the app would generate $2.3 M in incremental sales. Consistent with our segmentation results, we find that the users with the greatest purchase lift (9.5%) due to app usage are those that are distant and offline-only. Our results confirm the economic value of retailer apps and their role as a segmentation strategy to enhance customer engagement.     

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.     

A penny saved is a penny earned? Differences in male and female savings and consumption tradeoffs on online retail platforms

Online retailers in Asia are increasingly offering interest paying accounts to their users. Based on temporal discounting theory, however, customers might consider tradeoffs in opportunities to save money (offered yield by the online retailer × the account balance) versus withdrawing money from the account for online purchases. Based on a sample of 1.95 million transactions from 24,591 customers, when short-term savings opportunities (7-day annualized yield × account balance) are greater, customers withdraw less money for purchase. Relative to females, males tend to withdraw less money for purchase from their account when long-term savings opportunities (1-year annualized yield × account balance) are higher. The findings have implications for temporal discounting behavior in online retail saving opportunities versus purchase transactions, and implications for online retailers who may cannibalize online sales by offering higher yields to online customers.     

Modelling and Investigating the relationship of after sales service quality with customer satisfaction,retention and loyalty – A case study of home appliances business

After sales services (ASS) are activities that take place after the purchase of the product by customers and are devoted to supporting customers in the use and disposal of goods. ASS can create sustainable relationships with customers and contribute significantly to customer satisfaction. The purpose of this study is to evaluate the ASS quality by measuring the level of customer satisfaction (CS), customer retention (CR) and customer loyalty (CL) through the SERVQUAL dimensions comprising of ASS attributes and also to check which such ASS-based dimensions of SERVQUAL needs to be focused more on improving the quality of ASS with the consideration of firms involved in manufacturing the home appliances. For this purpose research models were proposed to examine the influence of ASS attributes on CS, CR and CL for three different products such as Gas Stove, Water Purifier and Mixer Grinder from the home appliances sector and tested by multiple regression analyses on data collected through the structured survey questionnaire, with a five-point Likert scale. The study has demonstrated the application of multiple regression analysis in studying the influence of ASS attributes on CS, CR and CL, and the results of the study have helped in analysing the performance of the case companies so as to devise suitable strategies in improving CS, CR and CL.     

The impact of sales encounters on brand loyalty

Gaining and sustaining brand loyalty is a key challenge in increasingly competitive markets. Many marketing researchers as well as practitioners emphasize the critical role of the interpersonal interaction between the customer and the salesperson in influencing customer satisfaction, generating favorable brand attitudes and strengthening the bond between the customers and the brand. So far, empirical research that investigates how sales encounters impact brand loyalty by enhancing customer satisfaction with the sales encounter is lacking. Using data from 154 dyads of customers and salespersons of a large automobile brand, this study shows the perceptions of both the customer and the salesperson regarding the impact of sales encounter performance on satisfaction. Sales encounter satisfaction, in turn, leads to brand loyalty by enhancing brand attitude and salesperson loyalty.     

Online service failure and propensity to suspend offline consumption

Many retailers have expanded their businesses by adding Internet sales channels. There are many advantages of such multi-channel business operation, however, these may be offset by an overlooked negative consequence of cross-channel shopper activity – poor service online may lead customers to suspend consumption in a company's offline channels. Support is found for this proposition, and an investigation into the influence of purchaser characteristics and purchase criticality on propensity to engage in such behavior is conducted. The study makes contributions to understanding cross-channel customer behavior and developing implications for future research as well as management practice.     

E-retail factors for customer activation and retention: An empirical study from Indian e-commerce customers

Customer satisfaction has emerged as one of the most important factors that guarantee the success of online store; it has been posited as a key stimulant of purchase, repurchase intentions and customer loyalty. A comprehensive review of the literature, theories and models have been carried out to propose the models for customer activation and customer retention. Five major factors that contributed to the success of an e-commerce store have been identified as: service quality, system quality, information quality, trust and net benefit. The research furthermore investigated the factors that influence the online customers repeat purchase intention on the basis of the Means End Chain theory (MEC) and Prospect theory. By hypothesising that a combination of both utilitarian value and hedonistic values are needed to affect the repeat purchase intention (loyalty) positively, Structural equation model has been presented on the primary data collected from the Indian online shoppers. Results indicate the e-retail success factors, which are very much critical for customer satisfaction. By increasing the utilitarian value and hedonistic values derived by the customers, customer satisfaction and hence the customers repeat purchase intention can be increased significantly.     

Siri,Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications

ABSTRACT

Digital assistants (e.g., Apple’s Siri, Amazon’s Alexa, Google’s Google Assistant) are highly complex and advanced artificial intelligence (AI) based technologies. Individuals can use digital assistants to perform basic personal tasks as well as for more advanced capabilities. Yet, the functional and topical use of a digital assistant tends to vary by individual. This study reflects the contextual experiences of the respondents. At present, there is little empirical evidence of customer satisfaction with digital assistants. PLS-SEM was used to analyse 244 survey responses to examine this research gap. The results confirmed that expectations and confirmation of expectations have a positive and significant relationship on customer satisfaction with digital assistants. This study provides evidence that customer expectations are being satisfied through the digital assistant interaction experience. As firms integrate digital assistants into their operations, they must help customers properly define what to expect from the firm’s interactive experience.     

Emotional support from a digital assistant in technology-mediated services: Effects on customer satisfaction and behavioral persistence

In their traditional role, digital assistants in technology-mediated services provide customers with information, guidance, and suggestions. However, as the opportunities offered by technology and artificial intelligence increase, digital assistants can also provide emotional support, which refers to empathetic, reassuring expressions for customers who have failed or succeeded in fulfilling a task. We show across four experiments that emotional support offered by a digital assistant increases customer satisfaction (Study 1 and 2) and persistence (Study 3 and 4) in using technology-mediated services. The increase in satisfaction occurs via the perceived warmth of the digital assistant, and the increase in persistence via the serial mediation of perceived warmth and satisfaction. Further, the results of a moderated serial mediation show that the effect on persistence only occurs when a digital (but not when a human) assistant provides emotional support in technology-mediated services. Finally, the effect of emotional support on persistence occurs independently of the digital assistant's embodiment. Practitioners learn how to imbue technology-mediated services with a human touch, inducing favorable customer outcomes.     

When the customer has left the store: An examination of the potential for satisfaction rub-off effects and purchase versus no purchase implications

Two lacunae in the relationship marketing literature are examined in this paper: (1) effects of satisfaction stemming from one particular store visit on the customer׳s relation to other stores (the existing literature typically focuses on the customer׳s relation to one satisfaction-creating store), and (2) the extent to which the impact of customer satisfaction on future intentions is moderated by what happens during the satisfaction-creating visit in terms of purchase versus no purchase (the existing literature typically assumes that the customer subject to satisfaction has purchased something, despite the fact that the reality of retailing consists of many customers leaving stores without purchases).     

Exploring the factors affecting customers’ intention to purchase a smart speaker

Although the sale of smart speakers is predicted to have a significant growth, the usage of smart speakers is not very popular in some countries and need further investigation. While the Bluetooth earphone and speakers are popular, the sales of smart speakers are challenging. Hence, the research purpose is to explore the determinants of the intention to purchase smart speakers and compare the differences between customers and potential customers. This study proposes ten hypotheses in a research framework according to the diffusion of innovation theory (DOI), task-technology fit (TTF), and perceived values. This study develops an online questionnaire to collect data from popular social networking sites. Finally, 249 valid responses collected from the website users are remained. The ten hypotheses are validated by using smartPLS software. According to the path analyses, five hypotheses were supported in potential customer group while only three hypotheses were supported in customer group. Users' perceived emotion-related value had significant direct influences on all customers' intention to buy smart speakers. Surprisingly, TTF was demonstrated to not significantly influence customers’ intention to purchase. The insights of the findings can be provided to smart speaker developers to design their products and sales strategies.     

The importance of customer satisfaction in explaining brand and dealer loyalty

The positive influence of customer satisfaction on brand and dealer loyalty is often taken for granted. In this study we attempted to prove whether this relationship really exists. In order to do so we examined the case of an automobile‐dealer network. Three different types of customer satisfaction were distinguished: (a) satisfaction with the car; (b) satisfaction with the sales service and (c) satisfaction with the after‐sales service. It was expected that all three types of satisfaction would have an influence on brand loyalty as well as on dealer loyalty. More specifically, it was expected that satisfaction with the car would be the major determinant of brand loyalty and that satisfaction with the service (both sales‐ and after‐sales service) would be the major determinant of dealer loyalty. Furthermore, a study of the literature revealed that dealer loyalty might also significantly affect brand loyalty.

In the empirical part of the study, customers (n = 416) of different automobile‐dealers of the same brand were asked to fill in a mailed questionnaire. The three different types of customer satisfaction and the intention to buy the same brand of car again, as well as the intention to buy from the same dealer again were measured. The customers were also asked why they would buy the same brand (again) or from the same dealer. In general, the analyses of the results revealed that: customer satisfaction with the car, as well as dealer loyalty are major determinants of brand loyalty; customer satisfaction with the sales service as well as with the after‐sales service are major determinants of dealer loyalty and dealer loyalty is an intervening variable in the relation between satisfaction and brand loyalty. Furthermore, it was found that the strength of the relationship between different types of satisfaction and loyalty indicators differs markedly between various market segments (private/business use of car and new/used car buyers). Several marketing implications are presented. A distinction may be made between the implications for the manufacturer of the physical product and the automobile dealer rendering the service.     

Do Mystery Shoppers Really Predict Customer Satisfaction and Sales Performance?

Mystery shopping (MS) is a widely used tool to monitor the quality of service and personal selling. In consultative retail settings, assessments of mystery shoppers are supposed to capture the most relevant aspects of salespeople’s service and sales behavior. Given the important conclusions drawn by managers from MS results, the standard assumption seems to be that assessments of mystery shoppers are strongly related to customer satisfaction and sales performance. However, surprisingly scant empirical evidence supports this assumption. We test the relationship between MS assessments and customer evaluations and sales performance with large-scale data from three service retail chains. Surprisingly, we do not find a substantial correlation. The results show that mystery shoppers are not good proxies for real customers. While MS assessments are not related to sales, our findings confirm the established correlation between customer satisfaction measurements and sales results.     

Can a positive mood counterbalance weak arguments in personal sales conversations?

In a personal sales conversation between a customer and a salesperson, the salesperson usually presents arguments for purchase alternatives to the customer. In addition to the quality of the presented arguments, the customer's mood is also expected to have effects on the customers’ product evaluation. In order to analyze mood and argument strength effects, we develop a theoretical model and conduct an empirical study based on a 2×2 experimental design. The results of the study show that the customers’ mood has both a direct and an indirect effect through the customers’ perception of the strength of the arguments provided by the salesperson on product evaluation.     

Value‐driven Internet shopping: The mental accounting theory perspective

When faced with competition and the ease with which customers can compare prices across sellers, Internet vendors often lower prices in a bid to increase sales. However, recent research reports that even price‐sensitive customers do not always purchase from Internet vendors offering the lowest prices. In contrast, value has been considered a key motivator of customer decision making in economics and marketing. However, little is known about the role and effect of value in Internet shopping. This study examines online customer purchase decision making from the value perspective based on mental accounting theory. This study also identifies monetary (perceived price) and non‐monetary (perceived risk, convenience, and pleasure) determinants of value. This study further explains how the individual determinants affect online purchase decision making directly and indirectly though value perception. The findings of this study offer Internet vendors practical suggestions for increasing online sales. This study, with its results, also helps advance knowledge of electronic commerce. © 2009 Wiley Periodicals, Inc.     

A Taxonomy of Cause-Related Marketing Research: Current Findings and Future Research Directions

ABSTRACT

Cause-related marketing is an increasingly popular method of improving marketing relationships with customers, both for the sponsoring company and for the participating cause. This paper outlines the rewards and risks for the company and the cause as they consider this type of partnership, as well as the benefits and drawbacks for the customers asked to participate in these programs through the purchase of the sponsored product or service. Future directions for research are recommended in order to (1) expand the findings within this domain, and (2) to maximize sales results from cause-related marketing initiatives for businesses and causes.     

Customer happiness as a function of perceived loyalty program benefits - A quantile regression approach

Customers consider pursuit of happiness to be fundamental to their purchase experiences; thus, companies are increasingly looking for opportunities to bring happiness to customers especially in their consumption activity. The current study undertakes analysis of effect of perceived benefits of loyalty programs and customer satisfaction on customer happiness/purchase enjoyment if he/she has loyalty program membership. Empirical study with 407 participants found that Discovery and Entertainment Benefit (DEB) and Satisfaction Derived (SD) have an effect on customer happiness/purchase enjoyment while being a loyalty program member. Quantile regression analysis was used to analyze if independent variables have a differential effect on different levels of the dependent variable i.e. customer happiness/purchase enjoyment from use of loyalty programs. Since DEB and SD were found to be positively significant in influencing customer happiness/purchase enjoyment, companies should focus on balancing these aspects of customers’ consumption experience.     

Customer Satisfaction and Elapsed Time since Purchase as Drivers of Price Knowledge

This study investigates the influence of customer satisfaction and elapsed time since purchase on customers’ explicit and implicit knowledge of price. The results of two large, independent surveys of customers who purchased a consumer durable good indicate that customer satisfaction and elapsed time have different effects on explicit versus implicit price knowledge. Customer satisfaction has a negative impact on explicit price knowledge, but no substantial effect on implicit price knowledge. The length of time between purchase and retrieval of the price information has a negative impact on explicit price knowledge but no substantial effect on implicit price knowledge. Finally, customer satisfaction has a moderating role, in that the higher the customer satisfaction level, the stronger the negative impact of elapsed time on explicit price knowledge.     

The effect of search channel elimination on purchase incidence,order size and channel choice

This study investigates the impact of eliminating a search channel on purchase incidence, order size, channel choice and, ultimately, sales and profits. We analyze customer panel data from a large retailer over a five-year period. The retailer conducted a randomized field test in which the firm eliminated its catalog for half of the panel. We find that channel elimination decreases purchase incidence, especially for customers who, before the test, were heavy users of the telephone purchase channel that aligns with the catalog search channel. As expected, channel choice for purchases is shifted toward the internet and away from the telephone channel. Interestingly, order size per purchase increases. We investigate the impact of channel elimination on profits across different customer segments. We calculate a net positive impact because the savings from eliminating the catalog compensate for lower sales revenues.