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This study aims to cross-validate the technology experience (TE) scale and examine the potential differences in consumer TE across three different sectors.

Across three separate studies, the TE scale and its psychometric properties and consequences were examined across three distinctive hospitality and tourism (H&T) sectors: accommodations (n = 640), food and beverage (n = 615) and tourism (n = 592).

The findings consistently show that TE is a second-order formative construct with nine dimensions. Furthermore, the factor structure of consumer TE is consistent across the focal sectors, enhancing the TE scale’s generalizability. While the dimensions consisting of TE were identical across the three sectors, the composites of TE were formed differently across the sectors, demonstrating the differences in consumers’ TE across the three sectors.

This research offers practical implications to the H&T industry regarding the different impacts of various TE dimensions on consumers’ overall experiences, thereby creating overall satisfaction and behavioral intentions.

To the best of the authors’ knowledge, this research was the first attempt to examine the differences in consumers’ TE across the sectors of the H&T industry. By identifying the different impacts of TE dimensions on consumers’ overall experience, this research provides theoretical and practical contributions by confirming the distinct characteristics of the sectors under the H&T industry.

This paper aims to examine the congruency effects of physically embodied robots in service encounters, which addressed a significant research gap concerning the synthesis of robot design elements (e.g., appearance and voice) and their service purposes.

Grounded in congruity theory and human-robot interaction literature, this study conducted a pretest and two experimental studies revealing the need to view robot design holistically and recognizing the pivotal role of congruity in shaping consumers’ service robot adoption. The moderating role of service purposes (utilitarian vs hedonic) was also investigated in terms of robot design and consumer reactions.

Consumers generally tend to favor robots with congruent designs, particularly for utilitarian service purposes. The serial mediation through perceived congruence and perceived intelligence explains such a favorite tendency.

This study advances service robot design research by highlighting the critical role of congruity in enhancing consumer engagement. It supports the use of comprehensive, congruent designs for services with utilitarian purposes and recommends adaptable designs for hedonic settings.

This study addressed the research gap by examining service robot design from a holistic perspective. The research findings highlight the importance of congruency effects in service robot design and deployment and provide valuable insights and guidelines to industry practitioners for optimal investment in service robots.

This study examines the influence of restaurant location and innovative restaurant practices on the performance of restaurant. The study further explores the moderating role of innovative restaurant practices in the relationship between restaurant location and performance.

The study employs a cross-sectional survey design. Data were gathered via structured questionnaires from 281 restaurant managers in Tanzania. Confirmatory factor analysis (CFA) was employed to assess the validity of the measurement model, while hypotheses were tested with the PROCESS macro.

The results indicate that both restaurant location and innovative practices significantly influence restaurant performance. Moreover, the implementation of innovative practices not only directly enhances performance but also strengthens the positive effect of a location on performance. This highlights the critical role of innovation in optimizing the benefits of a strategic location.

Restaurant owners should carefully choose locations for their business to enhance performance. They should also prioritize innovation through unique menu items, technology and creative marketing strategies to enhance performance. Additionally, owners and managers should focus on integrating innovation with location strategy, as innovative practices strengthen the effect of location on overall restaurant performance.

This research contributes to the limited empirical evidence on the influence of location and innovative practices on restaurant performance. Additionally, the study adds to the existing literature by examining the moderating effect of innovative restaurant practices on the relationship between restaurant location and performance, an aspect not previously explored in prior research.

The main objective of this article is to visualize the structure and trends of pro-environmental behavior (PEB) between 1999 and 2023 through mapping and in-depth analysis. The aim is to analyze PEB, which has received considerable academic attention in recent years due to its key role in the conservation of the environment and the protection of local communities in tourist destinations. This paper provides an important summary of the recent research that has explored the role that tourists have in protecting the environment through PEB.

This study presents a visual analysis of 2005 scholarly articles between the years 1999 and 2023 related to PEB. Using the knowledge mapping based on VOSviewer it presents the current status of research, which includes the analysis of citation analysis, co-citation analysis, co-citation network and longitudinal analysis.

PEB is an emerging topic due to its relevance to protecting the environment in the context of travel. The citation and co-citation analysis show the relevance of the behavior of tourists with regard to protecting the environment. The co-word analysis highlights the current significance of research concerning green hotels and the destination image of environmentally responsible destinations.

This study sheds light on the current research progress of PEB in the context of tourism through a comprehensive analysis (citation, co-citation and co-word). In addition, we provide theories and factors that have been previously used to study PEB in the context of tourism. The findings contribute to a broad and diverse understanding of the concept of PEB, which can provide important insights for policymakers in formulating management strategies and policies aimed at reducing environmental impacts in destinations.

This paper aims to analyze brand loyalty and electronic word-of-mouth (eWOM) antecedents in restaurants: (1) utilitarian and hedonic benefits, (2) brand satisfaction and (3) brand love. It also provides valuable knowledge through the comparison between positive and negative restaurant experiences.

A survey was carried out of restaurant satisfied and dissatisfied consumers. Structural equation modeling (SEM) and multi-group analysis (MGA) were performed to examine the cause-and-effect relationship in both groups.

The results show the relevance of benefits, brand satisfaction and brand love as causes for brand loyalty and e-WOM. Also, these relationships are significantly stronger for dissatisfied consumers than for satisfied ones.

The outcome of the research provides new insights to develop a conceptual stimulus-organism-response (S-O-R) model of consumers’ restaurant behavior by drawing comparisons across satisfied and dissatisfied ones.

The article investigates different types of strategies for managing user-generated content (UGC) and provides some insights into their implications.

A unique sample of Italian hotels with current and prospective customers in the digital environment is investigated. A taxonomy of user-provider interactions mediated by UGC is developed. A mixed approach was designed to meet the study aims. Firstly, an exploratory factor analysis was performed in order to illuminate different strategies of UGC and electronic word-of-mouth (E-WOM) management. Secondly, a cluster analysis was implemented in order to explain hoteliers' behavior toward users' contents.

The study results suggested the existence of three clusters, which reflected three different types of interactions between hotels and customers in the digital domain. Interestingly, most of Italian hotels were found to adopt a reductionist approach to UGC and E-WOM management, turning out to be ineffective to exploit them for the purpose of quality improvement and hospitality service excellence.

Hotels were found to be largely unaware of the importance of UGC and web-based communication with customers to improve their digital business strategy. Tailored management approaches are needed to realize the full potential of hotels' online content responsiveness for the purpose of value co-creation and service co-production.

This is one of the first studies investigating the strategic and management perspectives embraced by hotels to handle their interactions with customers in the digital arena.

This paper aims to introduce a novel modularity-based framework, Com_Tracker, designed to detect and track community structures in dynamic social networks without recomputing them from scratch at each snapshot. Despite extensive research in this area, existing approaches either require repetitive computations or fail to capture key community behavioral events, both of which limit the ability to generate timely and actionable insights. Efficiently tracking community structures is crucial for real-time decision-making in rapidly evolving networks, while capturing behavioral events is necessary for understanding deeper community dynamics. This study addresses these limitations by proposing a more efficient and adaptive solution. It aims to answer the following questions: How can we efficiently track community structures without recomputation? How can we detect significant community events over time?

Com_Tracker models dynamic social networks as a sequence of snapshots. First, it detects the community structure of the initial snapshot using a static community detection algorithm. Then, for each subsequent time step, Com_Tracker updates the community structure based on the previous snapshot, allowing it to track communities and detect their changes over time. The locus-based adjacency encoding scheme is adopted, and Pearson’s correlation guides the construction of neighboring solutions.

Experiments conducted on various networks demonstrate that Com_Tracker effectively detects community structures and tracks their evolution in dynamic social networks. The results highlight its potential for real-time tracking and provide promising performance outcomes.

Com_Tracker offers valuable insights into community evolution, helping practitioners across fields such as resource management, public security, marketing and public health. By understanding how communities evolve, decision-makers can better allocate resources, enhance targeted strategies and predict future community behaviors, improving overall responsiveness to changes in network dynamics.

Com_Tracker addresses critical gaps in existing research by combining the strengths of modularity maximization with efficient tracking of community changes. Unlike previous methods that either recompute structures or fail to capture behavioral events, Com_Tracker provides an incremental, adaptive framework capable of detecting both community evolution and behavioral changes, enhancing real-world applicability in dynamic environments.

In this case study, we examine how a citrus peel valorising company based in the Netherlands was able to adopt a circular business model while navigating regulatory, managerial, and supply chain-related barriers.

In-depth, semi-structured interviews with key personnel in the company, notes from field observations, photographs of the production process, and documents from a legal judgement served as data for this single, qualitative case study. Data were coded inductively using the in vivo technique and were further developed into four themes and a case description.

Results from our study indicate that the regulatory and political contexts in the Netherlands were critical to the company’s success. Like in the case of most fruitful industrial symbioses, partnerships founded on mutual trust and economically appealing value propositions played a crucial role in ensuring commercial viability. Collaborating with larger corporations and maintaining transparent communication with stakeholders were also significant contributing factors. Lastly, employees’ outlook towards circularity combined with their willingness to learn new skills were important driving factors as well.

In addition to expanding the scholarship on the adoption of circular business models, this research offers novel insights to policymakers and practitioners. It provides empirical evidence regarding the importance of public awareness, adaptable legislation, and harmonised policy goals for supporting sustainable entrepreneurship in the circular economy.

Personalization is a key element of restaurant innovation. Few studies in the business literature have examined its influence on table-service consumer behavior, including the factors that strengthen or weaken domain relations. The purpose of this paper is to investigate the effects of personalization on brand identification and repurchase intention by providing a contingent view of several crucial factors.

Online surveys were distributed to restaurant customers who received personalized menus, services and promotions. The authors collected data using purposive sampling and tested this study’s hypotheses using regression analysis.

The results indicate that personalization influences brand identification and loyalty behaviors. Not all aspects of employee friendliness, notably conversational skills, strengthen the links between personalization and consumer behavior. In fact, informal frontline employee attitudes negatively moderated customer brand identification. The results, however, suggest that humorous and approachable behaviors of frontline employees are essential in enhancing the effects of personalization on brand identification and revisiting intentions.

Drawing on self-categorization theory, this study introduces personalization as a key factor in improving brand identification and repeat purchase intentions in full-service restaurant settings. This study incorporated social exchange theory and motivational theory to construct a contingency view of frontline employee friendliness and customer motivation to better understand how customers’ dining experiences impact their post-consumption behaviors. By investigating the potential interactions between the three theoretical perspectives, this study demonstrates the relevance of personalization, cultural sensitivity and intrinsic motivation as vital components for Asian restaurants.