Experience, socialization and customer retention: Lessons from the dance floor

Experience and socialization are key factors in customer commitment and defection decisions. To study the effect of experience and social relationships on customer retention, we analyze a reality-mined co-presence network of health club members over a period of 4 years. Since central customers in the network have more social ties they will lose if they defect, we use centrality as a proxy for customer relationship switching costs. We find that long-standing customers do have a lower chance of renewing their contracts. However, in line with theoretical predictions (Burnham et al., Journal of the Academy of Marketing Science 31(2):109–126, 2003), the consumer’s centrality in the network (reflecting a social cost of defection) reduces customer churn rate. This study’s results indicate that the inclusion of social effects increases the predictive power of the customer churn model (Nitzan and Libai, Journal of Marketing 75(6):24–38, 2011), thus contributing to our understanding of the role social networks play in customer decisions.     

Optimal pricing in social networks considering reference price effect

We study the optimal monopoly pricing strategies in a social network, in which consumers experience a network effect that is dependent on their neighbors' consumptions and a reference price which is the average price received by their neighbors. We establish a two-stage game model for any social network. Utilizing the backward induction, we derive the equilibrium price by maximizing the monopolist's profit. In addition, we apply this model to the two most commonly used network structures: the star network and the bipartite network. We find that both the network effect and the reference price effect play a critical role in deciding pricing strategies in social networks. Moreover, our numerical results demonstrate that whether to implement discriminatory pricing depends critically on the network structure. This work provides monopoly firms a useful guideline for optimal pricing decisions in social network marketing.     

Indicators of opinion leadership in customer networks: self-reports and degree centrality

In this paper, we assess two alternative indicators of opinion leadership, self-reported opinion leadership and degree centrality, on the same dataset. We also investigate the interaction effect of these two indicators and the social network environment on opinion leadership. We use social network and survey data from the mobile telecom industry to analyze opinion leadership in smartphone adoption. We find that degree centrality indicates opinion leadership, but that self-reported opinion leadership indicates opinion leadership only under the right social circumstances. In case of weak to moderate network ties, the effect of self-reported opinion leadership is not significant. However, self-reported opinion leaders more effectively influence their strong ties. This study sheds light on indicators of opinion leadership and provides insights for managers to improve their social marketing campaigns.     

Valuing customers for social network services

In the current Internet environment, many online service companies based on community factors (networks) produce and sell new types of digital products. For example, SNS (social network service) companies now sell customers digital decorative products for the adornment of online avatars. Not only do individual customers consume these digital products, but they also exchange them as gifts in their local neighborhoods. While previous studies on customer valuation (e.g. CLTV, RFM, etc.) focus on some important issues for identifying valuable customers, the literature does not resolve issues related to the effects on customer value of products purchased as gifts for another person. This study attempts to verify empirically the effects of two representative social network properties (tie strength and the number of ties) on customer monetary value.This study selects 2615 customers from a South Korean SNS website who enrolled on the site on the same day. Data include diverse purchase-related information, social network properties in terms of gift-giving for six months, and demographic information. The primary results of this study are as follows. First, the proposed model, which includes social network properties, has a great deal more explanatory power than the baseline model — the RFM-based customer value model. Second, tie strength and the number of ties in a gift-giving network increase customer value. Third, tie strength has a more profound impact on customer value than does the number of ties. The results of this study theoretically expand the domain of customer valuation studies due to the inclusion of social network properties, and suggest important practical implications for some online SNS companies in their efforts to find valuable customers and improve customer value.     

Marketing mix and customer equity of SPA brands:Cross-cultural perspectives

Globalization has substantially transformed the fashion industry. Firms that conduct innovative marketing campaigns for SPA brands, also known as fast fashion, are operating worldwide. Because SPA brands tend to have short trend cycles, corporate profitability is sensitive to consumers' attitudinal changes. The authors of this study establish a theoretical framework by examining research trends related to customer equity at home and abroad by delving into the current state of global SPA brands, defining customer equity, developing customer equity measurements, and conducting empirical analyses. This study uses structural equation models to analyze corporate marketing activity effects on customer lifetime value through brand attitude. Although earlier studies identify customer equity as driving value equity, brand equity, and relationship equity, the authors introduce social network equity as another driver.     

A social network analysis of customer-level revenue distribution

Social network analysis has been a topic of regular interest in the marketing discipline. Previous studies have largely focused on similarities in product/brand choice decisions within the same social network, often in the context of product innovation adoption. Not much is known, however, about the importance of social network effects once customers have been acquired. Using the customer base of a telecommunications company, our study analyzes network autocorrelation in the distribution of customer-level revenue within a social network. Our results indicate a significant and substantial degree of positive network autocorrelation in customer-level revenue. High (low) revenue customers therefore tend to be primarily related to other high (low) revenue clients. Furthermore, we show that approximating communicative proximity by spatial proximity leads to a substantial underestimation of these effects.     

Discussion of “Recognizing Ethical Issues: An Examination of Practicing Industry Accountants and Accounting Students”

Although the political and consumer consciousness has turned increasingly green, many firms continue to resist the adoption of environment-friendly technological innovations—even in the face of higher costs, negative health effects, and stricter government oversight. This article examines how business owners weigh the trade-offs associated with environment-friendly innovations by examining the role of prosocial motivation in their decision-making process. We use primary data to overcome a common restriction in studying environmental innovations—the scarcity of relevant data—to analyze how business owners’ expectations, perceptions, and motivations affect innovation in organizational processes and, consequently, the level of environmental friendliness of their products or services. We found that prosocial motivation had a significant negative impact on innovation adoption and that it is expressed differently under high and low levels of customer compatibility—possibly because business owners have a larger number of competing social objectives and priorities. Our results further showed that the innovation’s ability to satisfy downstream customer demands has the greatest impact on environment-friendly innovation adoption decisions by business owners. This study enhances our understanding of how business owners make innovation decisions based on competing business, environmental and social objectives and provides a foundation for future research in this area.     

Costly Ties: Social Capital as a Retardant of Network‐Level Entrepreneurial Orientation

Challenging social capital research, we argue that network top management teams (TMTs) established to support entrepreneurship in strategic multipartner networks should be careful in developing ties to outside organizations and networks. We suggest that such ties limit the network TMT's ability to engage in the strategy‐making processes needed to facilitate entrepreneurial orientation on a network level. Based on five‐year panel data from 53 formalized networks of small and medium‐sized enterprises, we demonstrate that homogenous and highly educated network TMTs can compensate the negative effects of TMT ties to other organizations, but not the negative effects of interlocking directorates.     

When Online Visibility Deters Social Interaction: The Case of Digital Gifts

One of the defining features of online social networks is that users' actions are visible to other users. In this paper, we argue that such visibility can have a detrimental effect on users' willingness to exchange digital gifts. Gift giving is an intimate activity that comes with social risk, and the public nature of online environments can deter interactions that usually occur in smaller, more intimate settings. To study the effects of online visibility on the decision to give, we analyze a unique dataset from a large online social network that offers users the option of buying a digital gifting service. We find that purchase rates of the service increased with the number of ties that users kept on the network, but decreased with the extent to which those ties were connected to each other. We argue that the latter effect is due to the fact that, when a user's ties are connected, any gift sent between the user and one tie is visible to their mutual contacts. We explore how characteristics of users' networks moderate the effect of online visibility, and argue that firms should take consumer network structure into account when designing digital products and promoting engagement online.     

The effect of social networks structure on innovation performance: A review and directions for research

Research on growth of innovations introduced to the market has gradually shifted its focus from aggregate-level diffusion to exploring how growth is influenced by a given social network structure's characteristics. In this paper, we critically review this branch of literature. We argue that the growth of an innovation in a social network is shaped by the network's structure. Borrowing from the field of industrial organization in economics, which defines itself as the study of the effect of market structure on market performance, we describe this new wave of research on growth of innovations as the effect of social network structure on innovation performance. Hence, social network structural characteristics should be incorporated into research on new product growth as well as into managerial marketing decisions such as targeting and new product seeding.We review how social network structure influences innovations' market performance. Specifically, we discuss (1) a networks' global characteristics, namely average degree, degree distribution, clustering, and degree assortativity; (2) dyadic characteristics, or the relationships between pairs of network members, namely tie strength and embeddedness; (3) intrinsic individual characteristics, namely opinion leadership and susceptibility; and (4) location-based individual characteristics, namely the degree centrality, closeness centrality, and betweenness centrality of an individual network member.Overall, we find that growth is particularly effective in networks that demonstrate the “3 Cs”: cohesion (strong mutual influence among its members), connectedness (high number of ties), and conciseness (low redundancy). We identify gaps in current knowledge, discuss the implications on managerial decision making, and suggest topics for future research.     

How habits, social ties, and economic switching barriers affect customer loyalty in contractual service settings

While existing literature acknowledges positive effects of satisfaction and economic switching barriers for building customer loyalty, studies analyzing interactions of these antecedents reveal mixed findings. Prior research does not consider, as antecedents of switching barriers, either habits or social ties that result from shared service-usage within a family or community. This paper contributes to the literature, first, by replicating the effects of satisfaction, economic switching barriers, and their interaction with customer loyalty and word-of-mouth of subscribers to a contractual service. Second, the study empirically tests the role of social ties as a social switching barrier. Third, the study introduces and tests the effects of habits as a precursor of economic and social switching barriers. Results reveal significant positive effects of satisfaction, economic switching barriers, and social ties on customer loyalty and word-of-mouth. Additionally, economic switching barriers and social ties interact significantly with satisfaction and habits act as a precursor of economic switching barriers and social ties.     

Improving Customer Service

Abstract

The article presents a framework for implementing a TQM-oriented management process that can enable an organization to achieve continuous quality enhancements at minimal cost while simultaneously increasing the marketability of the service. The modeled framework demonstrates how such quality improvements can be made possible by heightening employees' sensitivity towards details pertaining to the many aspects of the service delivery process. The incidence of customer dissatisfaction resulting from sheer insensitivity towards detail during the delivery of service is established through real-world examples of actual customer experiences with numerous services. The severity of the implications of customer dissatisfaction and defection on a firm's bottom line are highlighted. The role of nonverbal communication and the many relevant forms of such communication are examined. A nonverbal communication feedback-response process model is presented that can help align the service with the expectations of the customer in high-contact services. Finally, a comprehensive set of managerial requisites for the creation of an enabling service quality culture is also identified. The framework presented also shows how performance can be enhanced, and competitive advantage gained, by effectively shaping and servicing the customer satisfaction plane.     

Customer defection due to service elimination and post-elimination customer behavior: An empirical investigation in telecommunications

Service industries require rapid innovations in their service portfolios to gain and maintain competitive advantages. Service elimination is a potential tool for portfolio renewal, though it might threaten increased defection rates. To contribute to both service elimination and customer defection literature, this paper proposes a model of customer responses to service elimination, with practical implications for decision-makers in rapidly innovating telecommunication markets.In particular, the main study, conducted in the context of Hungary’s telecommunications sector, reveals that customers’ tenure, usage intensity, and age reduce the negative effects of a price increase on their defection; the price increase, degree to which customers interact with service providers, customer defection, and competitive effects in turn increase post–service elimination usage intensity.These findings suggest implementation strategies that can reduce customer defection following price increase due to service elimination, by focusing on new customers, light users, and the quality of customer interactions.     

Never Say Never—Status Quo and Research Agenda for Relationship Termination in B2B Markets

Section I: In this conceptual paper we will present the current research findings on relationship termination in B2B context and, we will derive a framework of customer defection and customer recovery management.     

Understanding the sequential interdependence of mobile app adoption within and across categories

This research examines the interdependencies in users’ sequential app adoptions within and across diverse app categories. We employ a Zero-inflated Negative Binomial (ZINB) model to analyze a unique, granular, and individual-level mobile app adoption dataset, revealing three main findings. First, users’ app adoption decisions are highly history-dependent and category-specific in a nonlinear fashion. Early adoption can enhance subsequent downloads within the same category for app categories with high needs evolvement and horizontal differentiation (e.g., Game and Education apps). However, it may crowd out subsequent downloads in other categories with low needs evolvement and horizontal differentiation (e.g., Communication and Social media apps). Second, these effects are further moderated by users’ individual characteristics such as app usage tenure and phone price. Third, there exist nontrivial app adoption spillovers across app categories. For example, users’ adoptions of apps with relatively high hedonic values (e.g., Game and Music apps) can suppress their subsequent need for apps with relatively high utilitarian values (e.g., Education and Online banking apps), and vice versa. Together, these results offer novel managerial implications for app developers and platforms to promote apps in different categories based on users’ adoption histories.     

New product adoption in social networks: Why direction matters

Marketing managers and researchers generally agree that analyzing data from social networks and using them to influence consumers' purchase decisions are useful strategies. However, not all social network data may identify the most influential customers. This empirical study of more than 300 students reveals the low explanatory power of friendship networks (e.g., Facebook) and undirected-advice networks (e.g., LinkedIn). Only directed-advice networks (e.g., Google +) clearly identify influential consumers. In addition, the results challenge conventional wisdom that firms should target advisers assuming that they have the strongest influence on new product adoption. This study contradicts this common assumption and reveals that structural equivalence drives product adoption more than cohesion because advisees' adoption pressures advisers to purchase the product as well. Finally, the study shows the value of social network data beyond the traditional ego-centric psychographic metrics, such as innovativeness or opinion leadership.     

Performance Implications of a Retail Purchasing Network: The Role of Social Capital

This study employs social capital theory to examine how a retail buyer's network of industry peers influences retail performance. We propose that performance is enhanced by three network resources – access, referral, and influence – that result from two structural facets of a retail buyer's network: contact diversity and contact position. We test the model by collecting sociometric data that measures interpersonal ties among 84 retail buyers operating in the same geographic territory in the U.S. golf industry. The results offer evidence that network resources lead to higher levels of performance, even when accounting for differences in human capital and organizational resources. The paper concludes with a discussion of managerial and theoretical implications.     

Optimal generic and brand advertising efforts in a decentralized supply chain considering customer surplus

While the previous researches of advertising efforts decisions focus on only the firms' profit target, no literature introduces corporation social responsibility target into advertising efforts decisions of a supply chain (SC). To fill this gap, we consider a two-stage SC with a manufacturer and a retailer where the SC members consider the customer surplus. Both the retailer and the manufacturer can invest in generic advertising efforts to influence and increase the products' sales volumes. This paper investigates the following four scenarios: (1) The retailer cares the customer surplus (Model I); (2) The manufacturer cares the customer surplus (Model II); (3) Both the retailer and the manufacturer care the customer surplus (Model III); (4) We then extend the model III to the case that the manufacturer invests in both the generic and brand advertising efforts (Model IV). The objective of this paper is to determine the optimal retail price, the optimal advertising efforts, and the optimal profits of SC members, and find the influence of customer concern level on the SC performance. Finally, numerical examples are conducted to investigate the influence of the customer concern levels of the retailer or the manufacturer on the profits of the SC members and the entire SC. We also study the joint impacts of the customer concern levels of the retailer and the manufacturer on the SC performance. We find that the SC obtains the highest profits when the retailer's customer concern level and the manufacturer's customer concern level are relatively high, and the best cooperative strategy for the retailer and the manufacturer is that they improve customer concern level simultaneously.     

Social Contagion and Customer Adoption of New Sales Channels

We develop and test hypotheses regarding the role of social contagion in customer adoption of new sales channels. We examine two aspects of social contagion (local contagion and homophily) and two channels (Internet and bricks-and-mortar store). Drawing on diffusion theory, we propose a conceptual framework that identifies the factors associated with new channel adoption. Using longitudinal data from a major catalog company and a discrete-time hazard model, we find that (1) social contagion plays a major role in the adoption of new sales channels, (2) both local contagion and homophily influence channel adoption, (3) longer-tenured customers are less influenced by social contagion, and (4) adoption of the Internet channel is more influenced by social contagion than adoption of the bricks-and-mortar store. Managerially, our results suggest that marketing programs that encourage social contagion, for example, word-of-mouth campaigns, be targeted based on both physical and socio-economic proximity, and that such campaigns will play a bigger role in the adoption of new-to-the-world channels.