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Male celebrities are increasingly being chosen to endorse female cosmetic brands by marketing managers, yet this practice has not received sufficient scholarly attention. This study aims to explore the dynamics of male celebrities endorsing cosmetic brands.

The study employs the netnography approach to collect data from an online community.

The study contributes to the marketing literature by providing a conceptual framework of male celebrities endorsing cosmetic brands, highlighting the key attributes that contribute to the effectiveness of these endorsements, the evolution of relationships between fans, celebrities and brands, the features of this dynamic relationship and the influence of male celebrity endorsements on fans’ purchase decisions.

This research sheds light on an emerging trend in the marketing industry and provides valuable managerial insights for marketers seeking to effectively use male celebrity endorsements to promote female cosmetic brands.

The purpose of this study was to investigate the elements of the triadic framework (e.g. consumer motives, activities, resources and capabilities) and their influence on consumer attitudes and the theory of reasoned action (TRA) elements of subjective norms and eventual purchase intention of secondary sneakers.

The framework draws from two models, the triadic framework for collaborative consumption and the TRA. Data was collected using an online survey, which consisted of demographic questions and reliable scales. The hypothesized relationships were tested through structural equation modeling.

The findings indicate that reducing risks and the customer activity of providing information was significant in influencing consumers' attitudes. However, the customer motives of economic and environmental as well as technical skills were not significant in influencing attitudes.

This study attempts to inform secondary and full-priced retailers offering used products strategies to provide the best experience to millennial and generation Z consumers to ensure they can attract and retain them.

It can be stated with a high degree of certainty that sneaker resale remains one of the most permanent trends in the market today with sneaker resale is significantly outperforming the broader ecommerce ecosystem suggesting more research into the motivations of secondary sneaker consumption.

Despite IoT’s huge potential, enterprises’ ability to leverage it is their competitive advantage. Thus, competitive differentiation is primarily predicated on leveraging IoT toward customer needs. To examine the research gap, this study aims to explore the drivers of customer satisfaction and how they are affected by the interaction between IoT capabilities.

A mixed-method research framework is applied to assess the impact of IoT capabilities on customer satisfaction. Based on the theoretical underpinning of the resource-based view and dynamic capability, the study highlights the importance of IoT capabilities in active resource allocation and effective resource utilization. First, DEMATEL is used capture the interrelationship between IoT capabilities. Further, the impact of each IoT capabilities on customer satisfaction is studied using CoCoSo method.

The study highlights the importance of IoT capabilities in active resource allocation and effective resource utilization. The findings are enriched through the complementarity of resources in a dynamic business-to-business-to-customer (B2B2C) scenario. The authors expand the IoT capabilities from conventional business-to-business (B2B) or business-to-customer (B2C) scenario to tri-nodal B2B2C relationship triangle.

Based on the findings, the authors offer a business transformation strategy for firms in key areas of customer satisfaction by leveraging IoT. The study can help management prioritize and develop key IoT capabilities to meaningfully increase customer satisfaction metrics.

Building on the dynamic capabilities and resource-based view of the firm, an integrated decision-making research model is proposed. In addition, this study investigates the product and service capabilities unlocked using IoT capabilities. This work can be considered one of the leading attempts to improve customer satisfaction using IoT capabilities from traditional dyadic (B2B or B2C) structure to triadic (B2B2C) framework.

This study examines whether engagement with Sustainable Development Goal (SDG)-focused specialized training programs enable senior public officials (focal actor) to collectively deliver on public services that have a transformational societal impact over time. Further, the study explores the factors that impede and facilitate the delivery of such services. The authors do so by using service mechanics theorization and drawing on the lens of actor and collective engagement.

This study undertakes a longitudinal exploratory qualitative study design. SDG-focused training programs were delivered, as interventions, for two cohorts of senior public officials from Bangladesh in an Australian University in 2017 and 2019. In-depth interviews were conducted upon the training's completion and then after 8- and 12-month intervals to assess the short- and long-term impact respectively.

An empirical framework is proposed from the study findings. It shows that engagement – cognitive, emotional and behavioral – with SDG-focused specialized training programs enables focal actors (i.e. senior public officials) to engage other actors (other public officials, community members) in networks, facilitated the delivery of SDG-aligned public services. Such engagement results in a transformative impact that spans micro (individual), meso (organizational) and macro (societal) levels over time. Factors that impede and facilitate SDG-aligned delivery of public services are also identified.

Theoretically, the authors contribute to the literature that relates to actor and collective engagement, SDG-focused capacity-building training programs and service mechanics. Practically, this study informs organizations about the ways that they can effectively engage their senior employees with capacity-building training programs that focus on sustainability.

This study is one of the few that connects the interface between public service delivery for enacting societal changes and SDG-focused capacity-building training programs through service mechanics theorization and using the lens of actor and collective engagement.

This study aims to investigate the relationship between Kosovo remittances, migration and labor force participation and seeks to uncover how migration and remittances, often considered separately, interact to shape labor market outcomes across gender, age and education groups.

To analyze the relationship between remittances, migration and labor force participation, this study leverages multivariate probit (mvprobit) to rectify the endogeneity issue intrinsic from remittances and migration. Utilizing this robust methodological approach allows us to circumvent the limitations traditionally associated with biprobit analysis. The research is grounded in empirical evidence from the Millennium Century Corporation survey in Kosovo.

The findings indicate that remittances and migration are pivotal determinants in shaping the contours of labor force participation, particularly influencing disparities across gender, age and educational attainment. Further, this study unearthed intriguing evidence suggesting the disincentivizing effect of remittances on labor force participation, alongside the potentially disruptive influence of prospective migration plans.

The novelty of this work lies not only in the context-specific insights it provides into the socio-economic fabric of Kosovo—an area that has hitherto received limited scholarly attention—but also in its methodological innovation. The simultaneous application of mvprobit technique provides a nuanced approach to tackle the inherent endogeneity issue, thereby pushing the methodological frontiers of the field.

This study aims to investigate different types of platform providers (PPs) to gain a deeper understanding of the characteristics and underlying logic of this group within collaborative consumption (CC). As CC occurs with three groups of actors (PP, peer service provider and customer) and is predominantly viewed from the customer perspective, this study offers insights from the under-researched PP perspective.

This research applies a multiple case study approach and analyzes descriptively and thematically 92 cases of CC PPs gathered through the Crunchbase database.

The authors derive four archetypes of CC PPs, namely, the hedonist, functionalist, environmentalist and connector, that differ in their offered values, dominating motives and activities across industries.

The authors conceptualize CC by clearly describing the four archetypes and their characteristics. However, further research would benefit from including databases other than Crunchbase.

PPs need to understand their value offerings and customer preferences to develop convincing value propositions and offer engaging activities. PPs would benefit from a more active social media presence to build strong relations with customers and peer service providers to effectively communicate their values.

The paper is pioneering as it encompasses the perspective of CC PPs and operationalizes the concept of CC. The authors address the lack of research on CC by conducting an extensive case study.

This paper aims to explore customers' motives and behaviours in sharing comments and information on e-service platforms, as well as what leads them to avoid sharing after consumption.

To achieve the goal, this research used a mixed-method approach. Firstly, a two-phase qualitative design involving 2 focus groups and 27 in-depth interviews was employed. Secondly, a quantitative approach was implemented to test the relationship between three factors, identified in the qualitative analysis and comment-sharing behaviours.

The three identified factors are (1) willingness to improve the product/service and customer justice; (2) willingness to share emotions and feelings; and (3) technological readiness. Sharing emotions and feelings, as well as technological readiness, have been found positively associated with high posting behaviours.

Customers' opinions, comments and feedback on online platforms represent a crucial co-creation tool that must be better understood by businesses that aim to embrace the customer-centric philosophy. Despite the importance of the topic, only recently there has been interest in exploring the motives for and behaviours of customers' post-consumption comments and information sharing about a business on an e-service platform. Based on these findings, we put forward some relevant implications for theory and specific managerial strategies to be undertaken to exploit the potential of platforms.

The study aims to propose a triadic interaction model to assess the effect of customer–customer (C2C), employee–customer and robot–customer interactions on customer voluntary performance in the context of smart dining.

An explanatory sequential mixed methods design was used. First, a quantitative study surveyed Foodom patrons to assess the impact of triadic interactions on customer voluntary performance. The mediating role of trust and social support and the moderating effect of the need to belong were also explored. A post hoc study (Study 2) analyzed online comments to validate and complement the survey findings.

While all interactions promote social support, the C2C interactions significantly correlate with customer trust. Moreover, customer voluntary performance is influenced by both customer trust and social support, while the need to belong remains as a moderator. Findings from Study 2 consolidate and enrich the relationships identified in Study 1.

This research reveals that patrons in smart dining still value interactions with employees and other diners. It enriches the stream of work on interaction quality by illuminating how different types of interactions could co-create value for customers, subsequently fostering voluntary behavior in smart dining contexts.

This research explores how patrons perceive interactions with robots in smart hospitality, highlighting their impact on trust and social support. It also sheds light on how interactions among robots, employees and customers influence customer voluntary performance, emphasizing the role of the need to belong in moderating relationships in this setting.

This paper aims to explore the influencing factors of public perceived efficacy of emergency infrastructure projects based on the triadic interactive determinism, and analyze the relationship among these factors.

Based on the triadic interactive determinism, we explored the factors influencing public perceived efficacy of emergency infrastructure project and empirically verified the relationship among these factors and perceived efficacy by using data drawn from a questionnaire survey of 491 residents near Leishenshan Hospital, Jiangxia District, Wuhan, China.

Prior experience, emotional response, personal expectation, public trust, context message and interactivity level, namely behavior, individual and environment, affect the perceived efficacy of public emergency infrastructure projects.

The results offer an insight into public perceived efficacy of emergency infrastructure project from the perspective of antecedents in a triadic reciprocal determinism, which provides a reference basis for the sustainable development of the emergency infrastructure projects. This study also suggests valuable practical implications to government departments to improve the quality of administrative decision-making effectively.

Although existing studies have found some influencing factors of public perceived efficacy in general infrastructure, there is still a lack of systematic carding and quantitative description of influencing factors of public perceived efficacy of emergency infrastructure projects. This study bridges this gap by exploring the determinants and their influencing relationship of public perceived efficacy especially for emergency infrastructure projects.

This paper aims to explore the concept of “actor engagement” within the context of the sharing economy, a novel and dynamic business model. Specifically, it investigates the formation of actor engagement and its relationship with value creation within this business model.

Drawing on Storbacka et al. (2016)actor engagement framework and service-dominant logic service ecosystem model, unstructured data (text and images) from the Airbnb platform in seven countries and text- and image-mining techniques such as machine learning are used to measure the research variables and test the model by PLS-SEM.

The results indicate that affective engagement has a more significant impact on behavioural engagement than cognitive engagement for multidimensional actor engagement. Service providers’ engagement – directly, and through customer engagement – influences value creation for service providers (i.e. performance). Moreover, national-level moderator (i.e. economic, competitiveness, technology, social and political factors) plays a significant moderating role in our model.

This study encourages future research to explore how actor engagement leads to value creation for all actors on the different sharing economy platforms.

The findings provide practical insights for service providers to engage their customers and platform managers, especially in an international context, on managing their relationships with both customers and service providers in different countries.

This study advances the current literature on actor engagement and its role in value creation by providing a better understanding of the role of the national context in this process through unstructured data analysis.