Search results

Improving the creative performance of customers is critical to improving the competitive advantage of service firms. Customers that perform creatively and generate novel and useful ideas contribute to firm profitability by helping the firm save on costs and improve its services rather than merely relying on its employees. This paper aims to focus on creative customer behavior and examine its antecedents.

The analysis is based on a dyadic data set involving salespeople and their customers, collected over two periods across various industries in the context of business-to-business service deliveries.

Results indicate that customer task complexity affects creative customer behavior not through intrinsic motivation but through customer stress, and reveal that customer learning orientation and customer creative ability positively moderate these relationships.

Customers, salespeople and their managers should enrich the customers’ tasks with core job characteristics, in particular significance and feedback, and treat task stress as a positive, surmountable challenge that facilitates customer value creation. The results also indicate that to enhance creative customer behavior, managers should appreciate and develop customers’ learning orientation and creative ability, which in turn leads to increased sales performance and service quality.

Although humanoid robots are increasingly adopted in many business settings, the dynamic effects of anthropomorphism and the functional perceptions of service robots on consumers’ responses remain unclear. This paper aims to examine the impacts of robot anthropomorphism on consumers’ trust, receptivity and the downstream effect on satisfaction. Furthermore, it examines the mediating effects of perceived ease of use (PEOU) and perceived usefulness (PU) in the relationship between anthropomorphism and consumer responses.

After conducting two separate pilot studies to help design the research materials, this research involves three sequential studies. In studies 1A and 1B, the authors used two distinct humanoid robots (i.e. Connie and Pepper) to test the direct effects of anthropomorphism on trust and receptivity and the mediated effects via PEOU and PU. Study 2 conducted a 2 (robot appearance: machine-like vs. human-like) × 2 (task complexity: low vs. high) between-subjects experimental design to further explore the boundary effects of task complexity on trust and customer satisfaction.

This research theorizes and empirically examines the mediating effects of PEOU and PU in the relationship between anthropomorphism and consumers’ responses (i.e. trust and receptivity) to service robots. Results also demonstrate a moderating role of task complexity, whereby only when the task was complex did anthropomorphism affect consumer responses and customer satisfaction. The parallel mediations of PEOU and PU were also confirmed. However, when task complexity was low, the authors observed no differences between human- and machine-like robots.

First, this research used a scenario-based method by exposing participants to different pictures or videos of service robots and measuring individuals’ responses. Consumers may respond differently upon interacting with robots in actual service contexts. Second, future research could investigate the effects of other aspects of anthropomorphism, such as robots’ voice characteristics (gender, high/low pitch), verbal communication styles and emotional expression. Finally, future research could explore other service contexts to test the generalizability of the findings.

Findings of this study also provide useful insight for companies interested in adopting service robots. First, the authors unearthed several positive outcomes of using human-like versus machine-like robots in service settings. Despite concerns about the perceived creepiness and discomfort associated with human-like robots, managers should not worry about these service agents’ potential negative effects. Second, it shows that human-like robots’ competitive advantage over machine-like robots stands out when task complexity is high. Managers should therefore carefully consider relevant service characteristics and task requirements when deciding whether to adopt robots.

This study provides original and valuable contributions to the growing literature on service robots by addressing scholarly incongruencies regarding the impact of anthropomorphism and disentangling its positive influence on consumers’ perceptions and acceptance of service robots. This study also contributes to research on technology acceptance and service robot receptivity by empirically demonstrating the mediating role of PEOU and PU. Furthermore, this research enriches the body of knowledge on task-technology fit by providing evidence that task complexity is a crucial factor to consider in service robot design.

While a great deal has been written on the subject of empowerment of employees in the manufacturing industries, its application in the services area is relatively under‐developed. In fact, the special nature of services, and in particular the simultaneity of production and consumption is one of the major reasons for arguing that contact employees should be allowed a degree of discretion when dealing with customers. However, some authors have argued that service employees should have little or no discretion. This suggests that the approach to participation is a contingent one. That is, empowerment is not suitable for all occasions or all types of employees. Outlines a contingency framework for the empowerment of contact service employees. Argues that the appropriate levels and the types of empowerment given to employees depends on a combination of the complexity or variability of customer needs, and the degree of task complexity or variability involved in delivering the customer needs. It is also argued that, in any empowerment framework it is essential that the degree and the type of empowerment is also included.

The increasingly complex business-to-business (B2B) sales process necessitates that sales managers strike the right balance between appropriate resource allocation, while also maintaining the profitability of the organization. While previous research has mainly focused on how changes in the business environment pose distinct challenges to salespeople, very little research has focused on how sales managers should react to these complex situations. Drawing upon the extant sales research, this paper aims to point to a gap in the literature of how sales managers deal with the complexity associated with the sales process and deal with the same.

Methods from the grounded theory research approach were used to conduct 18 in-depth interviews with B2B sales managers. Purposive sampling was used to identify the participants.

A taxonomy of sales situations that reflects the changing complexity of the sales function and how sales managers need to orchestrate their resource allocation decisions to ensure appropriate value capture from B2B relationships emerged within the themes. This paper highlights four fundamental tenets of sales situations that account for both the complexity of the sales process and the value appropriation challenge that sales managers face.

The taxonomy will help sales managers have a better understanding of the changing complexity in the B2B sales process and help them with decisions making. Sales managers can orchestrate their resource allocation to achieve value appropriation.

This paper develops a new taxonomy of the sales situation. It unravels the changing complexity of the B2B sales process and discusses how value appropriation can be achieved by sales managers.

The purpose of this paper is to contribute to transformative service research by drawing on self-determination, elicitation of emotions framework and feelings-as-information theories to explore how customer participation, task-related affective well-being, customer knowledge, task complexity and service outcomes relate with each other.

A synthesis of relevant literature on customer participation and customer well-being reveals a conceptual model with 11 testable propositions.

The conceptual model shows that task-related affective well-being mediates the link between customer participation and service outcomes. Moreover, customer knowledge and task complexity moderate these links.

An empirically testable conceptual model models the roles of task-related affective well-being, customer knowledge and task complexity in the process by which customer participation influences service outcomes.

Service managers can use the model to design services based on the effects of different types of customer participation on task-related affective well-being.

This paper is one of the first to study the mediating role of task-related affective well-being in the relationship between customer participation and service outcomes. It does so by revealing the differential impact various types of participation have on service outcomes and the moderating role of customer knowledge and task complexity.

Artificial intelligence (AI)-based chatbots have brought unprecedented business potential. This study aims to explore consumers' trust and response to a text-based chatbot in e-commerce, involving the moderating effects of task complexity and chatbot identity disclosure.

A survey method with 299 useable responses was conducted in this research. This study adopted the ordinary least squares regression to test the hypotheses.

First, the consumers' perception of both the empathy and friendliness of the chatbot positively impacts their trust in it. Second, task complexity negatively moderates the relationship between friendliness and consumers' trust. Third, disclosure of the text-based chatbot negatively moderates the relationship between empathy and consumers' trust, while it positively moderates the relationship between friendliness and consumers' trust. Fourth, consumers' trust in the chatbot increases their reliance on the chatbot and decreases their resistance to the chatbot in future interactions.

Adopting the stimulus–organism–response (SOR) framework, this study provides important insights on consumers' perception and response to the text-based chatbot. The findings of this research also make suggestions that can increase consumers' positive responses to text-based chatbots.

Extant studies have investigated the effects of automated bots' attributes on consumers' perceptions. However, the boundary conditions of these effects are largely ignored. This research is one of the first attempts to provide a deep understanding of consumers' responses to a chatbot.

A great deal has been written on the subject of empowerment of employees in the manufacturing industries, yet its application in the services area is relatively under‐developed. Any rigorous examination of the literature shows that empowerment is not suitable for all occasions or all types of employees as it can have both positive and negative consequences for employees and the organization. This paper outlines a contingency framework for the empowerment of contact service employees. It is argued that the appropriate levels and the types of empowerment given to employees depends on a combination of the complexity or variability of customer needs, and the degree of task complexity or variability involved in delivering the customer needs. It is also argued that in any empowerment framework it is essential for the degree and the type of empowerment to be included. The paper also outlines the implications of empowerment for the type and style of managerial control exercised by managers and the implications for recruitment of customer contact service employees.

Collaboration between frontline employees (FLEs) and frontline robots (FLRs) is expected to play a vital role in service delivery in these increasingly disrupted times. Firms are facing the challenge of designing effective FLE-FLR collaborations to enhance customer experience. This paper develops a framework to explore the potential of FLE-FLR collaboration through the lens of interdependence in customer service experience and advances research that specifically focuses on employee-robot team development.

This paper uses a conceptual approach rooted in the interdependence theory, team design, management, robotics and automation literature.

This paper proposes and defines the Frontline employee – Frontline robot interdependence (FLERI) concept based on three structural components of an interdependent relationship – joint goal, joint workflow and joint decision-making authority. It also provides propositions that outline the potential impact of FLERI on customer experience and employee performance, and outline several boundary conditions that could enhance or inhibit those effects.

Managerial insights into designing an employee-robot team in service delivery are provided.

This study is the first to propose a novel conceptual framework (FLERI) that focuses on the notion of human-robot collaboration in service settings.

This research aims to contribute to the transformative service research (TSR) literature by examining how customer participation in the service process influences their service experience and eudaimonic well-being, as moderated by customer empowerment and social support.

In the contexts of wedding (n = 623) and tourism services (n = 520), two surveys were conducted to test the hypotheses using mediation and moderation analyses.

Customer participation had a positive effect on their well-being, as mediated by service experience. These effects were moderated by customer empowerment and social support. Specifically, customer empowerment negatively moderated the relationship between customer participation and their service experience for both services. In addition, the moderating effect of social support on the relationship between customer participation and service experience was positive for the wedding service but negative for the tourism service.

The findings imply that firms should encourage customer participation to enhance their service experience and well-being. In addition, the firm could judiciously empower customers by adapting to the level of customer participation. Furthermore, depending on the complexity of the service required to produce the expected service outcomes, the firm may encourage the customers to engage their social network for support.

This research uses the service ecosystem perspective to examine the roles of the customer, the firm and the customer's social network in shaping their service experience and well-being for two common and important mental stimulus services, enriching the authors’ understanding on the role mental stimulus services play in enhancing consumers' eudaimonic well-being.

This study aims to evaluate Artificial Intelligence (AI) research in the hospitality industry based on the service AI framework (mechanical-thinking-feeling) and highlight prospective avenues for future inquiry in this growing domain.

This paper conceptualizes timely concepts supported by research spanning multiple domains.

This research introduces a novel classification for the domain of AI hospitality research. This classification encompasses prediction and pattern recognition, computer vision, NLP, behavioral research, and synthetic data generation. Based on this classification, this study identifies and elaborates upon five emerging research topics, each linked to a corresponding set of research questions. These focal points encompass the realms of interpretable AI, controllable AI, AI ethics, collaborative AI, and synthetic data generation.

This viewpoint provides a foundational framework and a directional compass for future research in AI within the hospitality industry. It pushes the industry forward with a balanced approach to leveraging AI to augment human potential and enrich customer experiences. Both the classification and the research agenda would contribute to the body of knowledge that will guide the industry toward a future where technology and human service coalesce to create unparalleled value for all stakeholders.