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We develop a framework to facilitate customer engagement in service (CES) based on the service-dominant (S-D) logic. A novel feature of this framework is its applicability and relevance for firms operating both in developed and emerging markets. First, we conduct a qualitative study involving service managers from multinational companies (MNCs) across the developed and emerging markets to understand the practitioner viewpoints. By integrating the insights from the interviews and the relevant academic literature, this framework explores how interaction orientation and omnichannel model can be used to create positive service experience. We also identify the factors that moderate the service experience, and categorize them as follows: offering-related, value-related, enabler-related, and market-related. Further, we also propose that perceived variation in service experience moderates the influence of service experience on satisfaction and emotional attachment, which ultimately impacts customer engagement (CE). From these factors, we advance research propositions that discuss the creation of positive service experience. One of the study’s key contributions is that MNCs can focus their attention on the moderators to ensure consistency in positive service experience, in an effort to enhance CE.

The Routledge Handbook of Service Research Insights and Ideas offers authoritative coverage of current scholarship in the expanding discipline of service research. Original chapters from the world's leading specialists in the discipline explore foundations and innovations in services, highlighting important issues relating to service providers, customers, and service design. The volume goes beyond previous publications by drawing together material from different functional areas, including marketing, human resource management, and service process design and operations. These topics are important in helping readers become knowledgeable about how different functional areas interact to create a successful customer experience. This book is ideal as a first port of call for postgraduate students desiring to get up to speed quickly in the services discipline. It is also a must-read for academics new to services who want to access cutting-edge research.

Purpose The purpose of this paper is to discuss digital transformation and its four trajectories – digital technology, digital strategy, customer experience and data-driven business models – that could shape the next generation of services. This includes a discussion on whether both the market and organizations are all ready for the digital change and what are the opportunities that will enable firms to create and capture value though new business models. Design/methodology/approach Providing services is a proven and effective way to secure a competitive position, deliver long-term stable revenues and open up new market opportunities. However, it is also clear that some organisations are struggling to digitally transform. Therefore, the commentary provides a brief insight into how firms explore the possibilities of digital transformation and navigate these uncharted waters. Findings Today’s digital technologies affect the organisation outside and in, enabling the creation of new business models and transforming the customer experience. The incumbents are acutely aware that they need to transform strategically – to build new networks and value chains. Originality/value This commentary extends earlier work exploring the digital disruption within services to highlight a number of connected areas: the challenges and opportunities of digital transformation at a strategic level, as well as understanding and enhancing the customer experience and seeing how new data-driven business models can underpin service transformation.

Communicating with customers through live chat interfaces has become an increasingly popular means to provide real-time customer service in many e-commerce settings. Today, human chat service agents are frequently replaced by conversational software agents or chatbots, which are systems designed to communicate with human users by means of natural language often based on artificial intelligence (AI). Though cost- and time-saving opportunities triggered a widespread implementation of AI-based chatbots, they still frequently fail to meet customer expectations, potentially resulting in users being less inclined to comply with requests made by the chatbot. Drawing on social response and commitment-consistency theory, we empirically examine through a randomized online experiment how verbal anthropomorphic design cues and the foot-in-the-door technique affect user request compliance. Our results demonstrate that both anthropomorphism as well as the need to stay consistent significantly increase the likelihood that users comply with a chatbot’s request for service feedback. Moreover, the results show that social presence mediates the effect of anthropomorphic design cues on user compliance.

Whereas current literature emphasizes the positive consequences of co-creation, this article sheds light on potential risks of co-created services. Specifically, we examine the implications of customer co-creation in service failure episodes. The results of four experimental studies show that in a failure case, services high on co-creation generate a greater negative disconfirmation with the expected service outcome than services low on co-creation. Moreover, we examine the effectiveness of different service recovery strategies to restore customer satisfaction after failed co-created services. According to our results, companies should follow a matching strategy by mirroring the level of customer participation in service recovery based on the level of co-creation during service delivery. In particular, flawed co-creation promotes internal failure attribution which in turn enhances perceived guilt. Our results suggest that in such case customer satisfaction is best restored by offering co-created service recovery.

With the proliferation of the use of chatbots across industries, business-to-business (B2B) businesses have started using cognitive chatbots for improved customer service which signifies our research. By extending the Technology Acceptance Model and Information Systems Success Model, this study examines personalised contextual customer service using cognitive chatbot. A quantitative research method is applied to the primary data collected from 300 respondents of B2B businesses. The study contributes to the limited research on chatbots and suggests improvement in customer service. The findings provide evidence of high value by customers, particularly while checking for real-time information on reliability and accessibility of products/services. The automated answers to repetitive questions on the recurrent issues create a seamless experience for the customers. This research makes significant theoretical contributions by integrating two models into a simplified model in chatbot literature and manifest that trust affects the willingness to use the cognitive chatbot which drives automation.

The V-Model of Service Quality offers a powerful tool for measuring service quality. This book grounds the theoretical interventions in data drawn from case studies in the Sub-Saharan African context to make the models applicable to both researchers and working managers.

In higher education, low teacher-student ratios can make it difficult for students to receive immediate and interactive help. Chatbots, increasingly used in various scenarios such as customer service, work productivity, and healthcare, might be one way of helping instructors better meet student needs. However, few empirical studies in the field of Information Systems (IS) have investigated pedagogical chatbot efficacy in higher education and fewer still discuss their potential challenges and drawbacks. In this research we address this gap in the IS literature by exploring the opportunities, challenges, efficacy, and ethical concerns of using chatbots as pedagogical tools in business education. In this two study project, we conducted a chatbot-guided interview with 215 undergraduate students to understand student attitudes regarding the potential benefits and challenges of using chatbots as intelligent student assistants. Our findings revealed the potential for chatbots to help students learn basic content in a responsive, interactive, and confidential way. Findings also provided insights into student learning needs which we then used to design and develop a new, experimental chatbot assistant to teach basic AI concepts to 195 students. Results of this second study suggest chatbots can be engaging and responsive conversational learning tools for teaching basic concepts and for providing educational resources. Herein, we provide the results of both studies and discuss possible promising opportunities and ethical implications of using chatbots to support inclusive learning.

Consumers regard product delivery as an important service component that influences their shopping decisions on online retail platforms. Delivering products to customers in a timely and reliable manner enhances customer experience and companies’ profitability. In this research, we explore the extent to which customers value a high-quality delivery experience when shopping online. Our identification strategy exploits a natural experiment: a clash between SF Express and Alibaba, the largest private logistics service provider with the highest reputation in delivery quality in China and the largest online retail platform in China, respectively. The clash resulted in Alibaba unexpectedly removing SF Express as a shipping option from Alibaba’s retail platform for 42 hours in June 2017. Using a difference-in-differences design, we analyze the market performance of 129,448 representative stock-keeping units on Alibaba to quantify the economic value of a high-quality delivery service to sales, product variety, and logistics rating. We find that the removal of the high-quality delivery option from Alibaba’s retail platform reduced sales by 14.56% during the clash, increased the contribution of long-tail to total sales—sales dispersion—by 3%, but did not impact the variety and logistics rating of sold products. Furthermore, we also identify product characteristics that attenuate the value of high-quality logistics and find that the removal of SF Express is more obstructive for (1) star products as compared with long-tail products because the same star products are likely to be supplied by competing retail platforms that customers can easily switch to, (2) expensive products because customers need a reliable delivery service to protect their valuable items from damage or loss, and (3) less-discounted products because customers are more willing to sacrifice the service quality over a price markdown. This paper was accepted by Victor Martínez-de-Albéniz, operations management.