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This paper aims to answer questions pertinent to whether or not services provided by smart hotels are really what customers are looking for, as well as to ascertain what are some unintended experiences guests may encounter. In essence, to the best of the authors’ knowledge, this research is the first in the field to acknowledge the paradox of smart service.

This inquiry adopts a qualitative approach with data-driven from online customer reviews and semistructured interviews. Thematic analysis was undertaken to interpret review comments.

Results point to a new phenomenon, which is coined as the smartness paradox. In particular, customers on one hand enjoy an array of smart-infused experiences that jointly offer patrons a sense of a futuristic lifestyle. On the other hand, smart devices superimpose a number of hindrances that bring guests dismay and annoyance.

This investigation brings smart service failure to the fore to highlight several key failure themes that could jeopardize the entire operation with debased customers’ satisfaction and loyalty inclination.

The smartness-paradox framework used in the present inquiry entails both approach and avoidance consequences customers enact depending on their smart experiences.

This study aims to investigate the mental health treatment journeys of stigmatized consumers using user-generated content (UGC) while also examining the role of UGC in the journey.

This study offers valuable insights from 68 distinct, stigmatized consumers through a qualitative content analysis of 73 YouTube product review videos related to ten antidepressants. Data is coded, combining inductive coding with theory to provide a nuanced interpretation. Applying the Common-Sense Model of Self-Regulation to traditional consumer journey concepts, the analysis of UGC is structured by a unique mental health treatment journey.

The findings show that consumers use UGC to destigmatize their mental health treatment by engaging in dynamic reflection throughout their journey, rather than following traditional feedback models. Unlike typical consumption patterns, where search is limited to the initial stage, these consumers search at every journey phase while sharing insights that offer valuable support to others which, sometimes they report, is reciprocated by viewers.

Theoretically, this study introduces an innovative framework blending psychological and marketing theories to address a gap in health-care service marketing literature concerning long-term mental health treatment journeys. By introducing the concept of dynamic reflection, it demonstrates how consumers actively engage in and share insights throughout their treatment process, differing from traditional feedback models, and highlights the impact of UGC on health-care service provision.

Findings could inform potential health-care provider interventions that may improve treatment effectiveness.

Although stigmatized consumers’ experiences have been examined, their treatment experiences have not been framed within a journey framework.

Previous studies on social influence and virtual product adoption have mainly taken users’ purchase behavior as a dichotomous variable (i.e. purchasing or not). Given the prevalence of competing versions (basic vs upgraded) of a virtual product in online communities, this paper investigated the differences in the effect of social influence on users’ adoption of basic and upgraded choices of a virtual product. It also examined how the effect varies with users’ social status and user-level network density.

A natural experiment was conducted in an online game community. Two competing versions (basic vs upgraded) of a virtual product were provided for in-game purchase while a random set of users selected from 897,765 players received the notification of their friends’ adoption information. A competing-risk model was used to test the hypotheses.

Social influence exerts a stronger positive effect on users’ adoption of the upgraded virtual product than of the basic virtual product. Middle-status users have the greatest (least) susceptibility to social influence in adopting the upgraded (basic) virtual product than low- and high-status users. User’s network density enhances the effect of social influence on adoption of both virtual products, even more for the upgraded one.

This research contributes to the social influence and product adoption literature by disentangling the different effects of social influence on basic and upgraded versions of a virtual product. It also identifies the boundary conditions that social influence works for each version of the virtual product.

This study investigates the acceptance of the flipped classroom strategy among undergraduate econometrics students as well as the variables influencing students' preferences for the flipped classroom.

A quantitative approach was used, and a survey was administered to assess students' perceptions of their flipped classroom experience. An ordered logit model was estimated to explore the variables influencing students' preference for the flipped classroom compared to the lecture-based teaching method.

Students demonstrated a high level of acceptance of the flipped classroom as well as a perception that the activities conducted during face-to-face sessions were highly beneficial. Significant factors influencing preference for the flipped classroom include gender, attitudes toward econometrics, major, perceived usefulness of face-to-face activities and workload perception.

The findings of this study cannot be generalized to all econometrics courses, as they were derived from data collected in only one institution. Therefore, further research of this nature in different contexts is needed to gather more empirical evidence regarding the acceptance or rejection of the flipped classroom by econometrics students as well as the factors influencing it.

Based on the findings, several recommendations can be made for lecturers interested in implementing the flipped classroom and fostering its acceptance among their students.

This is the first investigation of the factors influencing the acceptance of the flipped classroom within the context of an econometrics course. Evidence of the acceptance of this methodology by students in this discipline can encourage more lecturers to implement it in their courses.

Value co-creation (VCC) represents actors’ joint, communal or shared value-creating processes. However, while existing research has advanced important VCC-based insight, the use of differing metatheoretical lenses to study VCC incurs a risk of theoretical fragmentation, thus potentially hampering this research stream’s continued development. We, therefore, undertake an in-depth review of the corpus of VCC research that focuses on its common conceptual underpinnings as anchored in differing perspectives.

To explore this objective, we undertake an extensive review of extant VCC literature, based on which we develop an integrative conceptual framework of VCC.

We propose an integrative, metatheory-unifying definition and framework of VCC that reflect its core hallmarks and dynamics across its adopted theoretical perspectives. Based on the framework, we also derive a set of fundamental propositions (FPs) that synthesize VCC’s core tenets.

VCC conceptualizations grounded in differing metatheoretical perspectives reveal the concept’s core interactive, value-creating nature across metatheoretical perspectives. Though VCC emanates from interactivity between any actor constellation, unifying different metatheories of VCC uncovers important insight.

The study suggests that for effective value co-creation, managers need to establish agreed-upon institutional arrangements, facilitate positive actor relationships and experiences and address challenges like collaboration, transparency, empathy and skill development while ensuring that affective, cognitive, economic and social dimensions of success are met for all actors involved. Successful initiatives require seamless communication, mutual understanding, cost-benefit favorability and public recognition of contributions.

Given VCC’s rising strategic importance, a plethora of studies have investigated this concept from differing metatheoretical perspectives, yielding potential VCC-based fragmentation. Addressing this gap, we take stock of the VCC literature with a view to distilling the concept’s core, trans-metatheoretical hallmarks, as synthesized in the proposed framework and FPs of VCC.

As a high-reward strategy to differentiate social platforms, value co-creation is increasingly becoming a tool to enhance customers' social attachment. However, there is still a lack of academic understanding of the value co-creation that enables users to build social attachment with social platforms. To address this challenge, we develop and then examine a theoretical model grounded in value co-creation theory considering the relationship between value co-creation and social attachment, and also explore the mediating effect of user experience and the moderating effect of self-disclosure.

This study takes representative social platform users as the research object, chooses Questionnaire Star as the platform for questionnaire distribution and collection and collects 531 eligible data through the snowball sampling questionnaire method. And then, MPLUS7.4 is used to analyze the data and thus examine our proposed theoretical model.

The results of structural equation modeling analysis suggest that two dimensions of value co-creation (i.e. initiated value co-creation and spontaneous value co-creation) affect social attachment not only directly but also indirectly (i.e. the mediating role of user experience) and that self-disclosure moderates the impact of value co-creation affecting social attachment.

This study verifies the impact of different dimensions of value co-creation toward social platforms on social attachment, showing that value co-creation plays an important role in developing users' social attachment and provides practical implications for promoting the sustainable development of social platforms and building users' psychological well-being.

The service environment is becoming increasingly turbulent, leading to calls for a systemic understanding of it as a set of dynamic service ecosystems. This paper advances this understanding by developing a typology of service ecosystem dynamics that explains the varying interplay between change and stability within the service environment through distinct behavioral patterns exhibited by service ecosystems over time.

This study builds upon a systematic literature review of service ecosystems literature and uses system dynamics as a method theory to abductively analyze extant literature and develop a typology of service ecosystem dynamics.

The paper identifies three types of service ecosystem dynamics—behavioral patterns of service ecosystems—and explains how they unfold through self-adjustment processes and changes within different systemic leverage points. The typology of service ecosystem dynamics consists of (1) reproduction (i.e. stable behavioral pattern), (2) reconfiguration (i.e. unstable behavioral pattern) and (3) transition (i.e. disrupting, shifting behavioral pattern).

The typology enables practitioners to gain a deeper understanding of their service environment by discerning the behavioral patterns exhibited by the constituent service ecosystems. This, in turn, supports them in devising more effective strategies for navigating through it.

The paper provides a precise definition of service ecosystem dynamics and shows how the identified three types of dynamics can be used as a lens to empirically examine change and stability in the service environment. It also offers a set of research directions for tackling service research challenges.

This research aims to demonstrate the extension of actor engagement to include human–environmental engagement within broader socioecological systems.

This work takes the perspective of Neo-animist Ontology which posits that since non-human biotic entities act as ecological and cultural resource integrators they should be considered as actors. In addition, the present article uses the concept of Nature’s Contributions to People, here renamed Nature’s Contributions to Humans (NCHs) to demonstrate the complex cognitive, emotional and behavioral dimensions of human–environmental interaction. The work also draws on existing concepts of actor engagement within multilevel socioecological systems.

This study offers a conceptual framework within which to understand how the complex interactions between humans and natural entities produce human–environmental engagement. It also provides evidence for three forms of human–environmental engagement, that is, purposeful involvement between humans and nature (natural ecosystems and non-human bioactors) with cognitive, emotional and behavioral dimensions. These engagement types have been termed: Nature–human regulating engagement; Nature–human material and cultural engagement; and Mindful engagement with nature. As this work shows, they arise due to human–environmental interactions involving the three forms of NCHs (regulating, material and non-material) and sustainable practices through which the environment and humans exert mutual influence upon one another. Additionally, this work identifies key focal actors and the novel, creative practices they implement to re-shape inter-industrial service ecosystems so demonstrating many-to-many A2A interactions within a socioecological system.

Future areas of research include in-depth investigation of the psychological (emotional-sensorial) processes of human engagement with nature and examination of the perspectives of non-human bioactors in human-initiated engagement with nature.

This study takes our understanding of engagement beyond its current focus on human-centric service ecosystems to include human–environmental engagement in socioecological systems. This involves the novel extension of the concept of an actor to include non-human biological agents involved in the provision of NCHs and enables an examination of how these so-called bioactors interact—directly or indirectly—with human actors. A further innovation here is the simultaneous zooming in and zooming out on actor engagement to gain a truly multilevel perspective.

The process of introducing a new robotic technology into a service system is complex, and its impacts on work practices can be challenging. By adopting a system perspective, this study investigates how human–robot collaboration (HRC) transforms work practices (i.e. customer care).

We conducted a two-year longitudinal analysis of an international company specializing in natural health products, examining changes in customer care practices following the introduction of chatbots. The study leverages expansive learning theory, which emphasizes activity systems and the transformations that occur within them, to trace the integration of robots and their effects on work practices.

The findings reveal that HRC enhances customer care practices by creating a human–robot activity system organized around shared goals. This system, mediated by tools, rules and the community, evolves through expansive learning dynamics. The process begins by identifying and addressing the contradictions and tensions between current human work practices and robotic capabilities, often revealing challenges and opportunities to improve HRC.

This research offers a novel conceptualization of the systemic and dynamic nature of HRC by placing it within broader frames of activity systems and expansive learning. Collaborations between humans and robots entail an expansive performativity that extends beyond the traditional roles or tasks of either actor or actant. It spans a diverse range of objects, tools, procedures and institutional setups, culminating in transformations of customer care practices.

Fashion retailers have increasingly adopted consumer-facing in-store technology (CFIT) to enhance the customer experience/service provision. This paper aims to explore managerial experiences and sociotechnical implications of introducing these technologies into organizational working processes.

This study draws on interpretive analysis of semi-structured interviews with 74 senior fashion retail industry practitioners, technology providers and consultants to understand managerial perspectives on technological innovation issues.

Endogenous and exogenous factors act as drivers or barriers to CFIT adoption and are influenced by strategic and tactical motives. Key issues that retail managers encounter include challenges in aligning technology implementation with retailer brand image to manage risk and reputation, with additional complexity arising from different internal and/or external actors involved, as well as required levels of change in organizational structure.

This study contributes an empirically derived framework identifying reasons for – and the drivers/barriers influencing – fashion retailers' CFIT adoption, classifying three broad approaches to CFIT adoption: embedded, transformative and opportunistic.