It is not merely a chat: Transforming chatbot affordances into dual identification and loyalty

Artificial intelligence (AI)-powered service chatbot functionality is changing to more effectively connect with customers in the era of digital marketing. As such, an understanding of how to enhance user perceptions and behaviors through interface design has become crucial. Using affordance actualization theory and social identity theory as a theoretical lens, this study explored how chatbot affordances affect consumer brand loyalty. Data were collected from 369 respondents who had at least one conversation with AI chatbots from a predetermined list of banks in Taiwan; the collected data were then analyzed using structural equation modeling. The results revealed that anytime–anyplace connectivity, information association, visibility, and interactivity affordances provided by chatbots positively influenced chatbot exploitation, which in turn affected perceived brand competence and perceived brand warmth. Furthermore, perceived brand competence influenced customer–chatbot identification and customer–brand identification, whereas brand warmth influenced customer–brand identification. Customer–chatbot identification also influenced brand loyalty both indirectly—through customer–brand identification—and directly. These findings are useful for assisting managers in various industries in the application of AI technologies to implement digital transformation strategies and improve customer services.     

Role of Customer Retention Equity in Creating and Developing Brand Value

The present study attempts to explore and establish a customer retention equity scale and examines its impact on brand value in the Indian banking sector. The data were collected from 500 account holders of the five nationalized banks—State Bank of India, Punjab National Bank, Industrial Credit and Investment Corporation of India, Housing Development Finance Corporation, and Jammu and Kashmir Bank from Jammu City, North India—using a purposive sampling technique. Structural equation modeling was applied to test the study hypotheses. The study finds that customer retention strategies that include loyalty and affinity schemes, special treatment benefits, a customer feedback survey, a courtesy system, and content marketing significantly contribute to retention equity. Further, the study also reveals that retention equity has a positive and significant impact on brand value and its dimensions—brand loyalty, brand association, and brand awareness. The study contributes to the extant literature by developing and validating the customer retention equity scale from customer perspectives in the Indian banking sector. In addition, the study also integrates the research stream of retention equity with brand value to signify the contributory role of customer retention equity on brand value and its dimensions. Since the study is limited to assessing customer retention equity and brand value relationship, their relationship with other constructs, such as relational quality, customer equity, and customer loyalty, should be explored in further work.     

Understanding the usability of retail fashion brand chatbots: Evidence from customer expectations and experiences

The existing literature suggests that chatbots tend to provide automated and generic responses that may not fully address complex customer inquiries, particularly when additional guidance is required. To improve the usability of retail fashion brands, this study examines how socially constructed experiences and expectations influence customer interactions. Data was collected from various sources, including online reviews, semi-structured interviews, and focus group discussions, to enhance the credibility of the results. The research reveals that individuals in the retail industry demand a broader variety of fashion products and more sophisticated capabilities to bolster the reminiscence of their shopping experiences. Retail fashion chatbots hold potential in recommending items that align with customers' preferences and goals, yet it is crucial for developers and brand managers to address numerous usability challenges and provide multilingual assistance to boost user engagement. Moreover, optimizing fashion retail chatbots is vital to reduce battery consumption, curtail instances of conversation window freezing, and hasten response times. This study provides a novel research framework that offers valuable insights on how to enhance the retail customer experience by improving interactivity, compatibility, credibility, and other factors that promote the use and adoption of retail fashion chatbots.     

Examining customer engagement and brand intimacy in social media context

Customer engagement (CE) is critical for firms to cultivate and improve customer brand experience in the customer journey. However, few studies are available on the effects of customer-based driving forces on CE in a defined brand experience context. Given the multidimensional nature of CE, the interrelationships among CE dimensions and various dimensional effects on the customer–brand relationship, represented by brand intimacy, have not been thoroughly explored. To address these research gaps, this study explores three customer- and context-based forces that drive CE in social media contexts from a consumer’s perspective. CE is operationalized as a second-order construct consisting of three dimensions (i.e., consumption, contribution, and creation) to reflect its multifaceted nature. An online survey was used to collect data. The results suggest that customer-based forces, advice seeking, and self-image expression exert positive influences on behavioral CE dimensions. The effect of a context-based factor, that is, fashion involvement, is salient only when gender difference is integrated. Moreover, the three facets of behavioral CE affect brand intimacy to different extents. Brand intimacy is the most affected by creation followed by consumption. The research findings contribute to the literature on CE and brand intimacy and also offer practical insights on marketing communications and segmentation.     

零售商品牌资产管理策略体系构建——基于多维理论视角的探讨

零售商品牌资产的管理和创建是零售企业获取持续竞争优势的关键,但关于零售商品牌资产管理策略的理论指导并不系统和丰富。因此,本文从零售商品牌营销管理、顾客情绪管理、顾客体验管理、顾客关系管理、顾客忠诚管理5个多维理论视角,对零售商品牌资产管理的策略体系进行了构建,以期为零售商品牌资产的创建过程和途径提供丰富的管理视野与思路。     

Whether to trust chatbots: Applying the event-related approach to understand consumers’ emotional experiences in interactions with chatbots in e-commerce

Chatbots can be used in marketing services to substantially improve the consumer experience. Based on cognitive appraisal theory, this study applied an event-related potential (ERP) approach to investigate consumers’ emotional experiences and consumer trust in passive interaction with chatbots versus humans, taking into account objective or subjective tasks in e-commerce. The results showed that chatbot (vs. human) service interactions automatically drew more consumer attention at the subconscious stage (i.e., a larger P2); consumers purposefully allocated more resources to regulate the negative emotions elicited by chatbots at the conscious stage (i.e., a larger LPP); and there was a lower trust in chatbots than in humans. Moreover, under subjective tasks, the differences between chatbots and human agents in emotional experience (as reflected by LPP) and trust were amplified. The findings will encourage e-retailers to improve the emotional service experience of their chatbots and prioritize the application of chatbots for objective tasks in customer service.     

When do AI chatbots lead to higher customer satisfaction than human frontline employees in online shopping assistance? Considering product attribute type

The increasing adoption of AI chatbots in online shopping assistance, as a complement or substitute for human frontline employees (HFLEs), leads to the question whether HFLEs perform better than AI service robots and why. From the perspective of product attribute type (experiential/functional) and focusing on customer satisfaction, this study explores how the impact of service agent on customer satisfaction varies along with product attribute type. A scenario-based experiment was designed and completed by 567 participants. Although HFLEs lead to higher customer satisfaction when the product attribute is experiential, AI chatbots perform better than HFLEs when the product attribute is functional. We make use of perceived information quality, perceived waiting time, and positive emotions, three determinants of customer satisfaction, to explain the variation of the role of different service agent types. The findings offer useful implications for companies when selecting service agent types in online shopping assistance.     

The influence of chatbot humour on consumer evaluations of services

Technological advances have enabled firms to automate customer service by employing artificial intelligence (AI) chatbots. Despite their many potential benefits, interactions with chatbots may still feel machine-like and cold. The current study proposes the use of humour by chatbots as a gateway to humanizing them and thereby enhancing the customer experience. Across three experimental studies, the results reveal that (i) the use of humour enhances service satisfaction when it is used by a chatbot but not when it is used by a human agent, (ii) this chatbot humour effect is serially mediated by enhanced perceptions of anthropomorphism and interestingness of the interactions with the chatbot, and (iii) whilst both positively and negatively valenced chatbot humour may enhance the interestingness of the interactions, socially appropriate (i.e., affiliative) humour as opposed to inappropriate (i.e., aggressive) humour leads to enhanced service satisfaction. This study extends the understanding of the humanization processes of chatbots and provides guidelines for how firms should use chatbot humour to positively influence consumers' service satisfaction.     

Chatbots in e-commerce: The effect of chatbot language style on customers’ continuance usage intention and attitude toward brand

The utilization of chatbots has grown in popularity in recent years, leading to an increasing interest among academics and practitioners. This study investigates the effect of chatbot language style on customers' continuance usage intention and attitude toward brand. Two scenario-based experiments were conducted to examine the underlying mechanism. The results show that when chatbots adopt an informal (vs. formal) language style, customers’ continuance usage intention and brand attitude increase through the mediating role of parasocial interaction. Further, this study identifies brand affiliation as a pertinent moderator, such that the effect of chatbot language style is attenuated for people who have no prior relationship with the brand. The findings contribute to the existing chatbot literature and offer practical implications for brand managers to develop optimal language strategies when deploying chatbots in e-commerce.     

对商业银行品牌经营的思考

当前,实施品牌经营是我国商业银行实现可持续发展的必由之路。品牌是商业银行的核心价值,品牌经营的核心是客户定位和品质定位,实现品牌经营的有效途径是追求服务专家化,培养忠诚的客户,实现营销持续化和塑造独特的形象。缺乏品牌经营行动、没有强有力的品牌支持,我国商业银行的经营将步履维艰。     

Constructing a relationship-based brand equity model

The purpose of this study is to develop and test a model in which several aspects of the service encounter including service staff, servicescape, customer similarity, and customer interaction are taken into account simultaneously as antecedents of relationship quality and generation of brand equity. Testing the hypotheses involved two service settings, banks and department stores. The findings demonstrate that serviced staff and customer interaction have significant direct effects on brand equity. Surprisingly, four variables of service encounter have significant indirect effects through relationship quality on brand equity. Based on these findings, the implications for managers and future research are identified.     

The impact of risk perceptions on the attitude toward multi-channel technologies

ABSTRACT

Several studies show that retailers experience favorable outcomes if consumers use multiple channels. Thus, retailers aim to encourage consumers to do so in a convenient way by offering multi-channel technologies (MCTs). However, not much is known about what affects a positive attitude toward such technologies. Our study investigates how different risk perceptions influence the attitude toward specific MCTs in comparison (check and reserve, click and collect, availability check). Moreover, we examine whether the customer’s general purchase channel preference moderates these effects. Results show that three risk dimensions have significant impacts on the attitude toward MCTs. These effects are generally worst for click and collect, as the negative effects (product quality and data risk) are highest, while the positive effect (product availability risk) is lowest, compared to the other two MCTs. Additionally, we generally find that the more a customer prefers buying via the online channel, the weaker the effects of the risk dimensions on the attitude are. Our findings provide implications on how to improve consumers’ attitudes toward the selected MCTs by influencing their perceptions of different risk dimensions.     

A cross‐national validation of a new retail customer equity model

This study aims to examine retail customers of China and Korea with a view to understanding the differences in the effects of customer equity on perceived store loyalty. We built a modified model of retail customer equity incorporating three drivers of retail customer equity (experience equity, brand equity and relationship equity), and further substantiate the relationships among the three equity drivers. For this purpose, we measured the customer equity of large scale discount stores located in China and Korea. The result shows that experience equity and brand equity significantly influence customer loyalty, whereas relationship equity does not. The relationships among the three drivers of customer equity revealed that experience equity significantly affects both brand and relationship equities, but relationship equity does not significantly affect brand equity. Based on country level analysis, on Korean side the experience equity influences relationship equity, brand equity and store loyalty, whereas on Chinese side, experience equity influences relationship equity and brand equity,     

Transforming the Customer Experience Through New Technologies

New technologies such as Internet of Things (IoT), Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), virtual assistants, chatbots, and robots, which are typically powered by Artificial Intelligence (AI), are dramatically transforming the customer experience. In this paper, we offer a fresh typology of new technologies powered by AI and propose a new framework for understanding the role of new technologies on the customer/shopper journey. Specifically, we discuss the impact and implications of these technologies on each broad stage of the shopping journey (pre-transaction, transaction, and post-transaction) and advance a new conceptualization for managing these new AI technologies along customer experience dimensions to create experiential value. We discuss future research ideas emanating from our framework and outline interdisciplinary research avenues.     

Exploring the impact of different factors on brand equity and intention to take up online courses from e-Learning platforms

Understanding service branding from the customer perspective is helpful for various organizations to attain a competitive edge and build a strong customer base. This research work aims to evaluate the various dimensions and constructs that affect brand equity and user's willingness to undertake courses from various e-Learning providers. Data for the quantitative study was obtained using a questionnaire based survey. Analysis of the 378 responses reveals that consumer experience is a strong predictor of both brand meaning and customer satisfaction. Although brand meaning positively impacts brand equity, brand awareness demonstrates a negative effect on brand equity. However, brand equity and customer satisfaction have a significant and positive impact on intention to undertake courses from online learning platforms. The study concludes with discussion on different implications, shortcomings, and directions for future research.     

The development of service quality dimensions for internet service providers: Retaining customers of different usage patterns

This study examines the relationships among relevant service quality dimensions of Internet service providers (ISP) and their customers’ perceived value, trust and commitment. Data was collected from residential Internet users in Thailand. The final usable sample size was 1507. The analyses include segmenting ISPs’ customers on the basis of their usage pattern and evaluating their perceptions of Internet service quality dimensions. In addition, several alternatives models were compared using structural equation modelling to confirm the mediation effects. An ISP’s service quality is influenced by the following four dimensions (a) network quality, (b) customer service and technical support, (c) information quality and (d) security and privacy. The findings reveal that while all dimensions have positive effects on trust, only network quality, information support and privacy influence customer value significantly and information support is the only dimension which is directly related to commitment. Additionally, the effects of customer service and information support on value vary across customers of different Internet usage patterns. The contribution of the present paper stems from the simultaneous modelling of a range of mediation effects which can better help explain the impact of service quality dimensions on customers’ cognitive and affective evaluations in high-tech service settings.     

Understanding the user satisfaction and loyalty of customer service chatbots

The artificial intelligence (AI) chatbot is emerging as a significant corporate customer-facing application, potentially increasin customer service efficiency while reducing costs. However, little work has sought to assess the quality of service they provide consumers. This study applies the e-service quality by incorporating conversational AI quality to predict users' satisfaction and loyalty to customer service chatbots. The proposed model was empirically evaluated using survey data collected from 219 users responding about their perceptions of customer service chatbots. The findings indicate that AI chatbot service recovery quality and AI chatbot conversational quality significantly influence user satisfaction. On the other hand, core AI chatbot service quality and satisfaction significantly influenced chatbot user loyalty. This study contributes to researchers and practitioners by proposing and evaluating a more comprehensive chatbot e-service quality that combines both fundamental (core service and service recovery qualities) and human-like (conversational quality) aspects of e-service. The results are of value in devising future AI chatbot services and related strategies.     

Validation of a Fashion Brand Image Scale Capturing Cognitive,Sensory, and Affective Associations: Testing Its Role in an Extended Brand Equity Model

This research validated a new 16‐item brand image scale that captures cognitive, sensory, and affective dimensions (i.e., mystery, sensuality, intimacy) of tangible and intangible attributes of fashion brands. Three studies were conducted to develop a holistic, yet parsimonious, fashion brand image measure. The initial subthemes of brand image and representative items were based on a review of scholarly literature and industry‐based information and on interview findings. Reliability and validity of the new scale were confirmed using data from 218 college students and a national sample of 2,373 respondents. Convergent and discriminant validity were supported through confirmatory factor analysis. Nomological validity was supported through testing a structural model containing the three brand image dimensions, Roberts’ ( 2005 ) lovemarks experience, and brand equity variables. The new brand image scale is different from existing scales because it incorporates Roberts’ industry‐based perspective, including more comprehensive sensory and affective dimensions than found in past brand image scales. This study provides support for Roberts' lovemarks model and the contributors to brand equity, which has implications for theory and for marketing firms that endeavor to build an effective fashion brand image.     

基于服务价值的快递企业竞争力实证研究

通过文献研究总结归纳出服务价值的四个维度:服务质量、感知利失、企业形象、情感价值,构建了基于服务价值的快递企业竞争力概念模型,探讨了服务价值的四个维度与顾客满意和企业竞争力的关系,并运用结构方程对模型的假设关系进行了验证。结果表明,服务价值的四个维度均对顾客满意有显著影响进而对企业竞争力产生影响。     

Investigating the antecedents of customer brand engagement and consumer-based brand equity in social media

The current research is concerned with identifying and testing the role of three main predictors: consumer involvement, consumer participation, and self-expressive brand on the customer brand engagement (CBE). The customer brand engagement is treated in the current study as multidimensional constructs comprising three main aspects: cognitive processing (CP), affection (AF), and activation (AC). It was also proposed a direct influence for these three aspects of CBE on consumer-based brand equity (CBBE). Using online surveys, we gathered data from fans/followers of mobile phone service providers, via Facebook fan pages in Jordan. The data were analysed using structural equation modelling. Based on structural equation modelling analyses (SEM), it was supported that CBE aspects were largely predicted by the role of consumer involvement (INV), consumer participation (COP), and self-expressive brand (SEB). However, we find that activation impact one dimension of the CBBE dimensions, namely, brand loyalty. Further, we find that brand awareness/associations affect perceived quality but not brand loyalty. To validate the CBE scale, future studies could investigate the impact of the scale using other social media platforms for different brands. The limited amount of empirical research on CBE was the motivation behind this research. In particular, there is no study that has investigated the main predictors of CBE and its consequences over developing context by proposing and testing the association between the antecedents of CBE with the dimensions of CBE, which in turn affect the dimensions of CBBE.