Value co-creation and social media: Investigating antecedents and influencing factors in the U.S. retail banking industry

This study seeks to examine and unearth antecedents to co-creation behaviours within a U.S. retail banking context. A critical aspect for marketing managers and academics alike, co-creation has a strong influence on tangible factors such as profit and intangible factors such as referrals, satisfaction and feedback. Antecedents were identified as trust, customer engagement and participation attitude whilst social media usage was a consumer characteristic identified as influencing co-creation. Data was collected from 489 U.S. retail banking customers via an online survey. The data was analysed via structural equation modelling. The findings indicate that customer engagement influences trust, co-creation and participation attitude. Participation attitude was found to influence trust and co-creation but trust had no direct effect on co-creation. The study further found that social media usage intensity influenced co-creation behaviours. The findings contribute in three ways. First, this is one of the first studies to scrutinise participation attitude in an attempt to explain co-creation behaviours for U.S. banks over social media. Second, identification of precursors to value co-creation has been ascertained in a U.S. retail banking social media context. Third, the study additionally contributes to the findings that social media usage has a moderating effect in value co-creation and offers a potential segmentation strategy.     

Understanding multi-channel consumer behavior: A comparison between segmentations of multi-channel purchases by product category and overall products

This study explores how customers utilize multiple channels in a recent retail environment. It provides a compatible framework for customer segmentation for overall products and major online-focused product categories, which reflect dynamic purchasing needs in multiple channels, using latent class cluster analysis and focusing on demographic characteristics. It extends prior studies’ frameworks by analyzing 15,938 Japanese single-source panelists’ data on low-involvement frequently purchased categories with customers’ demographics. The analyses revealed eight segments, including the specific properties of multi-channel enthusiasts. The findings imply that FMCG product classes and the corresponding consumer segments that are appropriate for cross-selling can be specified in our system, which incorporates possible future dynamic customer needs and can reduce the possibility of significant profit losses.     

Consumer response to marketing channels: A demand-based approach

Abstract

Marketing channels have faced rapid structural and functional transformations during the last few decades. While a large body of research has been devoted to understanding the supply-side aspects of marketing channels, much less research has taken the demand-side perspective to study consumer perception of channel position and functions. This article extends the channel literature to a broader domain and develops a consumer-based theoretical framework reflecting factors that influence consumer perception of and reaction to channel strategies and decisions. The authors conceptualize that consumers’ perceived channel value is a critical factor in determining their loyalty behavior. Seven important channel features are identified that would positively influence the perceived channel value. The relationship between perceived channel value and channel preference is strongly dependent on the level of customer value co-creation. The article concludes with research implications and suggestions of avenues for future research.     

Service encounter in multi-channel distribution context: virtual and face-to-face interactions and consumer satisfaction

This article studies service quality and customer satisfaction in a context of multi-channel service distribution. The objective is to identify quality factors influencing the overall satisfaction of a multi-channel customer. A quantitative study was conducted among 445 customers mainly targeted on users of the traditional physical channel and online channel of a French retail bank. Using structural equation models with AMOS, the results show that perceived service quality in the virtual channel, perceived service quality in the traditional channel, and multi-channel integration quality have a positive influence on the overall satisfaction of the multi-channel customer.     

Multi-channel service retailing: The effects of channel performance satisfaction on behavioral intentions

The number of channels that retailers can use interchangeably to provide customer service has increased. We report on a study of clients of a large retail bank that investigates the channel performance satisfaction-behavioral intentions relationship when the traditional service channel (i.e., branch office) is extended with technology-mediated channels (i.e., internet banking and telephone banking). For routine services, our findings suggest that behavioral intentions are most strongly influenced by satisfaction with office-related performance factors. For nonroutine services, satisfaction with service employee performance is the most significant driver of intentions. Our analysis also reveals interaction effects between traditional and technology-mediated channel performance satisfaction levels. These effects vary across service types, indicating contingencies in channel substitution and complementarity.     

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.     

Value co-creation among retailers and consumers: New insights into the furniture market

This paper aims to examine the applicability of a value co-creation framework that integrates the process view (customer, supplier and encounter value-creating processes), the actors’ view (the value facilitator and the value co-creator) and the role of customer knowledge in furniture retail stores using service-dominant (S-D) logic.We conducted multiple case studies to analyse retailers’ points of view and in-depth interviews to explore customers’ perspectives. Our research findings suggest that the proposed model can be effectively used to analyse value co-creation management in furniture firms, allowing researchers to identify the actions of retailers and customers and evaluate their matching. Even more importantly, this framework helps to foster value co-creation to increase the benefits for each participant during each stage of the relationship.     

A conceptual framework of the antecedents of customer journey satisfaction in omnichannel retailing

In light of the complex customer behaviour and customer journeys in omnichannel retailing, this study aims to investigate customer co-creation behaviour, customer response and customer experiential values as critical aspects of the customer journey, and examine their impact on the level of customer journey satisfaction. The results confirmed the significance of all factors, except information seeking and arousal, in all phases and exploration in the post-purchase phase, on customer journey satisfaction. For a further examination, this study classified the participants into three different segments according to their journey pattern and scrutinised whether the impact of the three predictors of customer journey satisfaction varied across customer segments. The analysis showed that customer segments were fragmented. The impact of customer co-creation behaviour, customer response and customer experiential values on customer journey satisfaction varied across the three customer segments. A heatmap highlighted the most influential factors of each customer segment. The study yielded several theoretical contributions and insights into omnichannel customers for managers.     

Value Co-Creation in Business-to-Business and Business-to-Consumer Service Relationships

Abstract

The purpose of this study is to examine the interrelationships among value co-creation, switching costs (SC), and customer share (CS) in both business-to-business (B2B) and business-to-consumer (B2C) relationships. In spite of increasing attention to value co-creation in the Service Dominant Logic, there are only a limited number of empirical studies on this concept. Furthermore, few researchers have investigated the inter-relationship among value co-creation, SC, and CS in a single framework for both B2B and B2C relationships, although many enterprises serve both types of customers. The conceptual framework is developed primarily based on relationship marketing and services marketing. This study evaluates six hypotheses, analyzing survey data from 209 enterprises and 337 individuals by structural equation modeling (SEM). Further, confirmatory factor analysis (CFA) is conducted to confirm the convergent validity and discriminant validity. In conclusion, the positive impact of execution of value co-creation (EVC) activities on SC and CS is supported with appropriate statistical evidence in both B2B and B2C relationships. Also, the causal relationship between values in relational exchanges (VRE) and CS is confirmed with adequate empirical findings for both relationships. These results suggest to marketing managers that service firms may achieve larger CS by executing value co-creation activities and providing VRE for customers.     

“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.     

Engaging Customers through Social Media to Improve Industrial Product Development: The Role of Customer Co-Creation Value

This study aims to investigate the effect of social media on customer loyalty with the mediation of customer co-creation value and to build a customer engagement model through co-creation value, which is supported by product improvement perceived in increasing customer loyalty. The data collection employed a survey method with structured questionnaires which were distributed to 150 respondents who were the members of social media product communities in Indonesia. The findings showed that interactions through social media are able to increase customer engagement, facilitaitng collaboration in co-creation value, allowing the company to improve and develop products based on customers' needs and desires, which will eventually increase customer loyalty.     

Understanding registration influences for electronic banking

Abstract

The growth in online or e-banking has resulted in customers interacting with their banks through remote technological channels to a greater extent. That said, there is much variation in online banking registration and adoption levels and little is understood about actual customer motivators and perceived barriers to registration for online banking services. As part of a larger study exploring the impact of the Internet on bank – customer relationships, this paper reports on key findings which shed light on such motivators and inhibitors for online banking registration. The results show that convenience (through 24-hour banking access) and reassurance about security are the most important considerations for customers in registering for e-banking within the case bank. Marketing implications for the case bank, as well as the broader industry, are discussed.     

Customer Lifetime Value as the Basis of Customer Segmentation

SUMMARY

In this article, we examine current trends in customer life-time value and customer segmentation models and identify key issues for future research. CLV-based segmentation is a segmentation approach that groups customers into meaningful segments based upon customer lifetime value and (potentially) other factors. In the article, we discuss the extent to which CLV-based segmentation meets the criteria for effective segmentation. We also identify six areas for future research: (1) models and management of “micro-segments,” (2) using CLV-based segmentation to improve the efficiency of marketing programs, (3) the need for more dynamic CLV-based segmentation models, (4) applying CLV-based customer segmentation to new products and new customers, (5) challenges associated with implementing CLV-based segmentation, and (6) the need for new models that enable firms to segment customers by response to marketing activities and CLV at different points in the customer decision process.     

Exploring manager’s perspective of service quality strategies in Malaysian Banking Industry

In service industry, the subject of service quality remains crucial as business strive to maintain a comparative advantage in the marketplace. In aftermath of globalization, the operating environment for banking industry has become more dynamic and competitive. Banks have evolved to become diversified financial providers instead of traditional banking-only service providers. With bank placing emphasis on a mutually beneficial bank–customer relationship, customer loyalty must be pursued through repeat purchases. Central to achieving this is often the quality of services offered by the bank should satisfy the customer’s needs. This article attempts to identify any service gaps in Malaysian banking industry and to recommend effective strategies to close these service gaps from bank mangers’ and executives perspectives based on GAPs Model of Service Quality (GAPs Model). Using qualitative data collected from interviews with 30 bank managers and executives, this article provides effectives strategies to close each of the gaps in GAPs Model. It is hoped that the empirical evidences and recommendations provided in this article shed some light to management of banks to improve upon their customer service quality in order to benefit from customer satisfaction, customer loyalty and other behavioural outcomes which will lead to greater competitive advantage and profitability to the banks concerned.     

Assessing customers’ perceived value of the online channel of multichannel retailers: A two country examination

Given the constant and often dramatic technological advancements that facilitate retailing, especially online channel adoption by industry and customers, research focusing on customers perceived value of the online channel of multi-channel retailer’s requires conceptual and empirical elaboration. This study advances understanding of customer perceived online channel value and how customer perceptions of value effect online channel satisfaction and online channel loyalty. Using data from a multi-country study, we provide a deeper understanding for multi-channel retailers of how to balance investments in various value drivers to enhance online channel satisfaction and customer loyalty.     

Using Information as a Basis for Segmentation and Relationship Marketing: A Longitudinal Case Study of a Leading Financial Services Firm

An important concern for service businesses is how to develop an appropriate segmentation and relationship marketing strategy that is tied to the value contribution of the customer base. This article presents a case study of the relationship marketing strategy for a division of a leading, worldwide financial services provider. The case firm segments customers into three tiers, using a framework similar to the one established by Berry and Parasuraman. Potential revenue from the customer is the primary segmentation variable used to assign customers to one of the three tiers, while the customer service response is tailored for each tier based upon customer information capabilities and needs. Although information is normally thought of as a supplemental service, rather than a core service, this case study shows how information is central to providing effective customer service and is a key to relationship marketing. The study also demonstrates how social and structural bonds can be used to refocus a customer's thinking from a cost perspective to a value perspective.     

Predicting Internet banking adoption in India: a perceived risk perspective

The emergence of Internet banking has transformed the banking systems across the globe. As a channel to market, Internet banking allows geographical constraints to be overcome by offering various products and services at lower customer costs. An understanding of the factors influencing customer adoption of Internet banking is both relevant and timely. This study integrates technology acceptance model and perceived risk theory in understanding Internet banking acceptance among Indian bank account holders. Specifically, this study categorizes perceived risk as external risk and internal risk, and examines its influence on customer beliefs and adoption of Internet banking. Using two-step predictive analytics of structural equation modeling and artificial neural network analysis, the 270 responses reveal that both external risk and internal risk inhibit customer acceptance of Internet banking. More importantly, neural network analysis reveals that perceived ease of use and external risk are two important factors determining how well Internet banking is accepted by customers. The implications of the study findings and future research directions are presented.     

多渠道零售视角下的互动解析

信息化发展要求零售商拓展销售渠道。当前,直复渠道、网络渠道、移动渠道以及实体渠道等交叉融合形成多零售体系。多渠道零售使消费者具有更多消费选择权。互动是多渠道零售环境下零售商与消费者沟通交流的必要方式。零售商通过有效互动维持、稳定顾客关系,确保消费者对本企业的忠诚。互动促使消费者做出渠道选择。消费者通过互动寻求边际成本与边际收益的最佳结合点,选择最为符合自身意愿或消费效果最优化的购买渠道。     

企业支持行为有利于顾客参与价值创造吗?——来自在线定制行业的实证分析

企业支持行为对顾客参与价值共创作用的研究主要聚焦于企业支持行为对顾客参与共创水平的影响,而对顾客参与和服务结果之间关系的作用分析较少,也忽视了在线共创情景中顾客对服务结果贡献归因的差异。本研究以归因理论为基础,探讨在线价值共创过程中企业支持行为的作用,通过322份在线定制行业的顾客问卷分析,得出结论:在线共创情景中,顾客参与通过增强体验价值来提高服务满意度;感知企业支持在顾客参与和体验价值之间有显著负向调节作用;顾客对自身参与表现的满意程度和感知企业支持在顾客参与和体验价值之间有显著的联合调节效应,即顾客对自身参与表现的满意程度弱化了感知企业支持的调节效应。     

一种商业银行客户分割的多维方法——基于客户期望收益和态度的分割模型

客户分割与资源分配是企业一直在努力解决的问题,但目前,空前巨大的客户数据量使得准确进行市场细分和寻找目标市场变得复杂和难以有效实施。通过数据挖掘技术从大型数据库中抽取隐藏的预测信息,利用层次聚类分析建立了一个根据客户的多个态度维度进行客户分割的多维方法。结果表明,以这一方式产生的聚类在同质性较好并且通过参考人口学特征的差别能够获得客户细分市场的轮廓。此外,识别了四个有特色的、表明对信息服务和技术有特殊偏好的客户群。