Survey data and Bayesian analysis: a cost-efficient way to estimate customer equity

We present a Bayesian framework for estimating the customer lifetime value (CLV) and the customer equity (CE) based on the purchasing behavior deducible from the market surveys on customer purchasing behavior. The proposed framework systematically addresses the challenges faced when the future value of customers is estimated based on survey data. The scarcity of the survey data and the sampling variance are countered by utilizing the prior information and quantifying the uncertainty of the CE and CLV estimates by posterior distributions. Furthermore, information on the purchase behavior of the customers of competitors available in the survey data is integrated to the framework. The introduced approach is directly applicable in the domains where a customer relationship can be thought to be monogamous. As an example on the use of the framework, we analyze a consumer survey on mobile phones carried out in Finland in February 2013. The survey data contains consumer given information on the current and previous brand of the phone and the times of the last two purchases.     

Will the frog change into a prince? Predicting future customer profitability

More and more companies have customer databases that enable them to analyze customer profitability over time. These companies often seek to determine the most important customers as indicated by their current or historical profitability and focus attention on them. Focusing on profitable customers can result in more efficient use of marketing resources, but this approach neglects the fact that customers can evolve over time. Some customers begin as low-profit customers but eventually develop into high-profit customers. Others may start out as high-profit customers but become unprofitable over time. Previous efforts to predict future profitability have been relatively unsuccessful, with relatively simple, naïve models often performing just as well as or better than more sophisticated ones. Our paper presents a new approach to predicting customer profitability in future periods that performs significantly better than naïve models. We estimate the models on data from a high-tech company in a business-to-business context and validate the models' predictive ability on a holdout sample.We show that a model based on simulation of customer futures provides large improvements over naïve extrapolation of average profits. By using the simulation model to select customers, ROI from marketing efforts is projected to increase by 58%.     

从家电企业谈顾客维系

随着家电市场竞争的日益激烈,顾客流失较为普遍,顾客的维度减弱已成为家电制造企业生存和发展中的最大困惑。产品质量缺陷、顾客对售后服务不满意、竞争对手夺走顾客、与顾客缺乏沟通是主要成因。有效防止顾客流失,企业应加快从＂以产品为核心＂向＂以顾客为中心＂转变,采取积极建立顾客档案、实施全面质量管理、提高服务质量、对顾客进行关联管理等有效措施,增强企业对顾客的维系度,降低顾客流失风险,提升市场竞争力。     

Misconceptions about Market Orientation

Given the benefits of a market orientation, why do so many organizations fail to become market-driven? One reason is confusion over what it means to be market-driven. Some organizations have become “customer compelled ” and try to respond to whatever their customers say they want, without exercising any discipline. Others argue that it is sometimes best to “ignore the customer.” This latter view finds listening to customers deficient as a guide to action. This is a misconception based on three false dichotomies: (1) that you can either lead or follow customers, (2) that you can't stay close to both current and potential customers, and (3) that a technology push can't be balanced with a market pull.     

Determinants of consumers’ intentions to use smartphones apps for flight ticket bookings

This study examines customers’ adoption and acceptance of smartphone apps to book their flight tickets. By integrating customers’ innovativeness, involvement and perceived trust as additional variables, this study extends the Unified Theory of Acceptance and Use of Technology (UTAUT) and proposes a theoretical model that includes seven explanatory variables of the customers’ behavioural intentions: performance expectancy, effort expectancy, social influence, facilitating conditions, customers’ innovativeness, customers’ involvement and perceived trust. Data were collected from 369 customers who had booked their flight tickets via smartphone apps and was further analysed by employing partial least squares (PLS). Findings suggest that performance expectancy, facilitating conditions, customer innovativeness and perceived trust are positive and significant determinants of customers’ intentions to book their flight tickets on smartphone apps. Accordingly, several important implications for academics and industry decision makers are formulated.     

Seamless experience in the context of omnichannel shopping： scale development and empirical validation

In recent years, delivering a superior seamless experience (SE) for customers has become one of the most crucial aspects of omnichannel marketing for omnichannel retailers. However, research lacks a common understanding of what the SE is and how customers evaluate the SE throughout their omnichannel shopping journeys, and the effects of the SE on important customer behaviors remain unexplored. Drawing on omnichannel customer experience research, following the scale development process, this research conceptualize and develop a scale to measure the SE construct. Building on the customer experience quality framework, this research further examines the effects of customers’ prior SE on repurchase intention, word of mouth (WOM), and customer influence behavior in the omnichannel shopping context. The SE scale is developed and validated by performing 15 semi-structured interviews, 62 open-ended questionnaires, and three online surveys with 884 useable respondents in total. The effects of SE are then validated via partial least squares modeling with 307 useable respondents. The findings confirm that the SE construct is a formative second-order construct composed of six reflective first-order dimensions. Our empirical findings indicate that the overall SE has a direct and significant impact on the foregoing three customer behaviors. Managers can use the SE scale as an effective omnichannel approach to design a seamless shopping journey and maintain long-term relationships with customers.     

Acquisition mode and credit card overspending behavior: An empirical analysis of the credit card industry

Although credit card overspending behavior has become a critical societal concern with severe negative impacts on consumer welfare and economic stability, research on credit card overspending behavior remains fragmented and understudied. This study investigates new types of antecedents of credit card overspending behavior that are overlooked in the prior literature—the acquisition mode of credit card companies. Based on data set from a large commercial bank in China, this study measures credit card overspending behavior using consumption amount, cash withdrawal amount and overdueness, and suggests that gift acquisition has a positive effect on cash withdrawal amount and overdue probability as well as a negative effect on consumption amount. Furthermore, we find that this relationship could be weakened for female customers and for customers with higher education levels. This study provides theoretical implications for both the credit card overspending literature and customer acquisition literature. It also has important implications for consumer welfare and public policymaking.     

The Impact of Other Customers on Customer Citizenship Behavior

Despite extensive research on the antecedents of customer citizenship behavior, the influence of other customers remains a neglected area in service research. Drawing on social information processing and interpersonal influence theories, this article investigates how citizenship behavior of focal customers is shaped by citizenship behavior of other customers. This study also examines how informational influence in the form of other‐customer credibility and normative influence in the form of customer social identity moderate this relationship. Using qualitative and quantitative data, this study shows that other‐customer citizenship behavior drives focal customer citizenship behavior. This link is also moderated by informational influence (other‐customer credibility) and normative influence (social identity). From a theoretical standpoint, the findings provide preliminary evidence that other‐customer focus is critical to an understanding of customer citizenship behavior. This study also identifies the boundary conditions for these relationships. From a practical standpoint, the findings suggest that managers need to identify and pay attention to customers who exhibit citizenship behavior so that customer citizenship behavior is reciprocated and extended to other customers in the service encounter.     

Do Farmers' Market and Specialty Food Store Customers Differ in the Effects of Perceived Utilitarian and Hedonic Shopping Values?

This study explored differences in the effects of perceived utilitarian and hedonic shopping values on customer satisfaction for the two separate groups of the agricultural product marketing channel: farmers' markets and specialty food stores. Empirical data were collected from customers of agricultural product retailers located in Taiwan (N = 412). The results show that different agricultural product marketing channels provide different values to their customers. Farmers' market customers experience a greater hedonic value, and specialty food store customers experience a greater utilitarian value. In addition, the perceived utilitarian and hedonic shopping values of farmers' market customers are more highly positively associated with customer satisfaction than are those of specialty food store customers.     

Status demotion in hierarchical loyalty programs: effects of payment source

Hierarchical loyalty programs are being operated currently by many firms to improve customer relationships. While past work has demonstrated the negative effects of status demotion in such programs, research on how these effects may vary across different customer group based on payment source is almost nonexistent. This paper examines the moderating role of payment source (‘own money’ versus ‘others money’) on the effects of status demotion on customer attitudes and behavior in hierarchical loyalty programs. Analysis of data collected from members of airline loyalty programs show that the negative effects of status demotion on customer attitudes, loyalty intentions, and share-of-wallet are stronger for demoted ‘own money’ customers than for demoted ‘others money’ customers. The study provides a deeper insight about the effects of status demotion and points out that firms could possibly be endangering the loyalty of many potentially valuable customers, in particular among the ‘own money’ customer group.     

A detailed behavioral analysis on consumer and customer changing behavior with respect to social networking sites

The main purpose of the study is to analyze the changing behavior of the customers on various products by conducting a customer review. The analysis is performed in three major steps such as, calculating customer review quality, calculating behavior quality of customer and review comparison. Behavioral analysis is a kind of science which helps to study and understand the behavior of human beings. It studies the factors that influence the behavior of living beings and non-living beings on a larger aspect. A special emphasis is placed on understanding, describing, predicting and changing behavior. Understanding the behavior of individuals is a tedious job to be performed and hence to evaluate the final result, the study used Chi-Square Method. As a tool, the paper employs customer reviews to gather primary and secondary data. These reviews inform, educate and explain the benefits of using customer reviews in gathering data. It is one of the best and easiest methods to formulate the score of comparison between customer's profile and their review. Findings of the study proved that depending on the customer's profile, the quality of the product varied. Furthermore, high rates of efficiency and accuracy is observed in gathering information on the products via customer's profile and review. Study authenticates an inclusive approach to explain factors manipulating consumer awareness, observation and sensitivity on product value. A depth analysis was carried out to identify the purchase decision, brand behavior, price influence the buying behavior and opinion of the customers. However, the factors such as high quality, social media networking sites and customer's profiles had a greater impact on buying behavior of the customers.     

物流企业顾客满意度研究

顾客只有对企业的产品或服务满意了,才有可能重复购买企业的产品或服务,成为企业的忠实顾客,因而提高顾客满意度已经成为企业竞争的焦点,本文在研究顾客满意度模型的基础上,提出了物流企业提高顾客满意度的策略和措施。     

Perception value of product-service systems: Neural effects of service experience and customer knowledge

Digital trends in product-service system (PSS) development focus on developing win-win solutions for both companies and customers, particularly when considering human behavior issues. It is useful for the PSS provider to know the PSS value creation mechanism when customers are buying and utilizing a PSS, particularly in the service-dominant logic (SDL) and cognitive neuroscience perspective. This study solved the PSS implementation that satisfied the demands of both customers and manufacturers and the value cocreation mechanism during product and service configuration with the impacts of consumer learning and the service experience. The proposed neuroscience methodology is based on an ERP (event-related potential) experiment using PSS stimuli, representing the perception value creation process during customer decision making and the PSS configuration process. The effectiveness of the service experience is more important than customer knowledge during PSS value perception due to positive emotions with pleasant memories for the service experience and the conflicting cognition process of customer learning. The combination of service science and neurology may measure and observe human behavior and psychology through the brain science method and effectively solve the human factors in service science. The findings suggest a more objective and personalized understanding of PSS value perception, particularly the practical requirements of a resulted-oriented PSS and an application-oriented PSS.     

Relating strategic market orientation and market performance: role of customer value types

A service provider achieves competitive advantage by configuring appropriate strategic orientation and customer value type. This paper addresses three important issues: (i) which customer value type (economical, relational or technical) is important for bank customers? (ii) which strategic market orientation (customer or competitor) helps in achieving the desired value type? and (iii) which value type significantly predicts market performance? We propose that a strategic market orientation pursued by a firm shall influence the customer value it intends to offer so as to maximize the market performance. Using data collected from 538 bank customers, this study reveals that when there is a perfect match between strategic market orientation and value being perceived by its customers, a firm shall achieve strategy-value fit and realize optimal market outcomes in the form of customer satisfaction, acquisition, retention, cross-selling, and up-selling. Furthermore, a bank shall realize maximum level of market performance if it pursues both customer and competitor orientation and endeavors to deliver technical/functional value to its target customers. The paper concludes with managerial implications and future research directions.     

The impact of customer-specific marketing expenses on customer retention and customer profitability

We study the effects of customer-specific marketing expenses on customer retention and customer profitability in a business-to-business setting. Using data from a company providing hygiene services, we look at the impact of a hitherto unstudied type of expense targeted at individual customer relationships: the offering of free equipment to customers. The data allow tracking the activities performed in more than 4,500 customer relationships over a period of 4 years. Retention rates are higher for customers targeted with free equipment, but this effect results from an interaction with customer size. First-order dynamic panel data analyses show that the impact of targeted marketing expenses on customer dollar profit is positive for large customers, but there is no effect for smaller customers. Thus, targeted marketing expenses seem to be a tool for relationship maintenance rather than customer development: they help in retaining large customers that generate more profit, but they do not seem to work in developing new customers into larger, more profitable ones.     

Do Customer and Technology Orientations Influence Product Innovativeness in SMEs? Some New Evidence from Greece

Due to the recently articulated need for a better understanding of product innovativeness determinants, this study focuses on firm-specific factors that influence the innovativeness level of new products. A path analysis model pertaining to a dataset of 150 manufacturing SMEs in Greece is applied to examine customer and technology orientations' direct effects on product newness to customers on the one hand and their indirect effects through learning orientation on new product uniqueness on the other. Empirical results indicate that technology orientation is more important than customer orientation in explaining product newness to customers and thus increases the chances of the firm producing a new product beyond their experiences and consumption patterns. They also suggest that learning orientation being enhanced by stronger customer and technology orientations constitutes a key organisational capability in creating more unique new products for the market. These findings are discussed in the context of Greek SMEs in the food & beverages and textile industries, taking into account the specific conditions prevailing. Apart from providing some new evidence in the important area of SMEs, this study also reveals interesting implications for managers and policy-makers while providing potential avenues for further investigation.     

Aesthetic labor and visible diversity: The role in retailing service encounters

This study endeavors to investigate the role of the appearance of customer service staff in forming customer perceptions. It also aims to fill the gap in existing knowledge by exploring the notion of visible diversity, for example, ethnicity, age, gender and perceived sexual orientation of store staff in service encounter from the customers’ perspective. The study adopted a qualitative, inductive approach in data collection using a sample of 30 customers from leading Australian fashion retailers. This study identifies three themes explaining customer perceptions of staff's aesthetic labor, namely mirroring appearance, matching appearance, and charming appearance, which can be explained by the social identity theory, role theory and aesthetic capital. It is found that staff appearance might affect customers’ intention to revisit but does not guarantee sales. In addition, based on signaling theory, the results show that age, ethnicity, gender and perceived sexual orientation of the retail store staff are meaningful factors in determining customers’ attitudes and behavior. This study is one of the first that takes aspects of visible diversity into account along with aesthetic labor and customer experience in a retail setting.     

“Towards a co-creation framework in the retail banking services industry: Do demographics influence?”

Although many firms profess to adopt a customer-centric approach many are yet to embrace the notion that value is not solely created within the boundaries of the firm, that it is created co-jointly with outside parties. As such, value co-creation has increasing importance in modern marketing, impulsed by Service-Dominant Logic. While co-creation is a hot-topic in the marketing literature, services marketing literature recognizes the impact of demographic characteristics in consumer behavior. However, literature analysing the effects of demographics in co-creations models is very scarce.Therefore, the aim of this paper is to examine a set of outcomes of co-creation (satisfaction, loyalty and WOM) from a customer perspective. More, this research also analyses the potential moderating effect of demographic characteristics such as gender and age in this co-creative framework.The results show that co-creation directly affects customer satisfaction, customer loyalty and WOM. Co-creation also results in increased levels of customer satisfaction, which in turn mediates the effect of co-creation on customer loyalty and positive WOM. Data also reveal different patterns of behavior depending on gender and age.This paper contributes to the understanding of co-creation from a customer viewpoint. Firms should strive to foster co-creation initiatives as this can lead to increased levels of customer satisfaction, more loyal customers and the possibility of attracting new customers through positive WOM by current customers. Customers databases must be segmented for higher levels of marketing campaigns efficiency.     

A data mining approach for segmentation-based importance-performance analysis (SOM–BPNN–IPA): a new framework for developing customer retention strategies

Importance-performance analysis (IPA) is a simple but effective means of assisting practitioners in prioritizing service attributes when attempting to enhance service quality and customer satisfaction. The purpose of this study was to demonstrate how IPA can be used with market segmentation to develop customer retention strategies for different market segments. For this purpose, a new framework have been proposed that uses self-organizing maps for customers’ segmentation and back-propagation neural network (BPNN) for implicity drive the importance of service attributes based on their effect on customers’ loyalty in each segment. Then, individual IPA matrixes are developed for each market segment. Also, an example case is presented to demonstrate the implementation and application of the proposed framework. The results of the proposed framework compared with a conventional BPNN-IPA approach indicated that it can increase reliability and applicability of IPA results.     

THE EMPOWERMENT OF FRONTLINE SERVICE STAFF IN 3PL COMPANIES

Research on third‐party logistics (3PL) service providers has focused more on managing customer relationships than on managing the frontline personnel who interact with customers on a daily basis. Thus, even though the overall need for 3PL's to be market‐oriented is well‐recognized, relatively little is known about how 3PL companies support and develop frontline service staff to provide better service. This study draws on 3PL company site managers' responses to a postal survey that examines the influences of internal communication, customer service training and managerial coaching for customer contact employees on the relationship between market orientation and frontline service recovery empowerment.