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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.

Customers will develop a stronger desire to purchase when more people are waiting in line for service due to the herding effect. However, this also leads to longer queue times, causing customers to experience a waiting patience time. This study examines these two psychological aspects of delay-sensitive customers in service systems, considering both homogeneous and heterogeneous customer scenarios to explore the optimal pricing strategy for service providers.

Using queueing theory, we construct and optimally solve the customer's service utility function and the service provider's service revenue function. Further, the model is extended to account for heterogeneous customers, solving the utility and revenue functions accordingly.

Results show that service revenue increases with the intensity of herding behavior and the length of patience time. If customers have low herding intensity and short patience time, the service provider only needs to serve a portion of the customers. For heterogeneous customers, if a large proportion exhibits high herding intensity, the service provider should focus on serving them. Otherwise, the service provider should serve all high-intensity herding customers while striving to attract low-intensity herding customers.

This paper considers the combined utility of multiple customer psychology and examines homogeneous and heterogeneous customers. The findings provide valuable managerial insights for service providers' pricing and service strategies.

The failure to manage the firm's brand successfully with trading partners is a potentially fatal obstacle to success in today's hypercompetitive global economy. Strong brands serve as an important point of differentiation for firms, assisting customers in their evaluation and choice processes. Considerable research exists on the branding of consumer goods, and the literature on business-to-business (B2B) brands and service brands is increasing. However, research on branding in the context of B2B services is relatively sparse. This paper integrates research in B2B brands and service brands to explore B2B service brands. The paper reports a multiple methods study of brands and brand management in the logistics services industry as a specific case of B2B service branding. The study addresses two research questions that are relevant for B2B service brands. First, how are brands perceived when the customer is an organization rather than an individual? Second, how do brands differentiate intangible offers that customers often consider as commodities? The first study reports data collected in an exploratory investigation comprised of depth interviews with representatives of logistics services firms and customers. The study supports the extendibility of Keller's brand equity framework into the B2B services context. The second study tests the framework using data collected in a mail survey of logistics service providers and customers. Results suggest that brands do differentiate the offerings of logistics service providers and that brand equity exists for this commodity-like B2B service. However, findings reveal differences in perceptions between service providers and customers. Specifically, brand image is a stronger influence on customers' perceptions of service providers' brand equity, whereas brand awareness is a stronger driver of the service providers' perceptions of their own brand equity. The paper discusses implications of these differences for managing B2B services.

This paper aims to provide a better understanding of the prolonged consumption journey and how they are sustained by service providers’ use of habit-boosting strategies. Existing research is critically evaluated, and a research agenda is provided to inspire and guide future research.

This paper develops a conceptual framework that integrates habit and transformative consumer intervention theories with customer journey literature to explain the role of habit in sustaining prolonged consumption journeys. Habit-boosting strategies are introduced as mechanisms for service providers to facilitate their customers’ prolonged consumption journeys.

This paper argues that habit strength is a limited operant resource that often lacks resource integration efficiency and hinders customers’ abilities to sustain prolonged consumption journeys. Four distinct habit-boosting strategies are identified that provide the potential for service providers to facilitate their customers’ prolonged consumption journeys.

This study presents a typology of habit-boosting strategies and a research agenda that discusses a range of practically relevant and theoretically insightful contributions.

UrbanClap was setup in October 2014 to address the opportunity of bringing the workforce from the unorganised sector into the mainstream using the power of technology. It was an on-demand marketplace for services available through a mobile app. In the initial years, UrbanClap, developed as horizontal marketplace, saw intense competition from existing and new players who were operating in the hyperlocal services space. It competed in the on-demand service marketplace by categorising its services into a lead generation business (where it connected customers with the service provider and charged a fee for matchmaking) and a fulfilment business (where UrbanClap took end-to-end responsibility for quality of service delivery). After three and half years of operations, the three co-founders wondered if it was time they moved out of lead generation and instead focussed on the fulfilment business.

Recent literature on customer engagement has introduced the concept of “actor engagement,” which serves as the foundation for this study. The study aims to investigate the formation of engagement and engagement's impact on the performance of sharing economy platforms in an international context.

The study analyses unstructured data from 145,434 service providers and 1,703,266 customers on Airbnb across seven countries (USA, Canada, United Kingdom, Australia, South Africa, China and Singapore). Machine learning techniques are used to measure actor engagement, and the research model is tested using structural equation modelling (SEM).

The findings suggest that actor engagement, encompassing the reciprocal relationship between customer engagement and service provider engagement, has a significant impact on platform performance. The moderator analysis highlights the role of cultural differences in the relationship between customer engagement and service provider engagement and between actor engagement and platform performance. Specifically, the study reveals that actor engagement exhibits a more pronounced impact on platform performance in Western countries (such as the USA, Australia and the UK), compared to Eastern countries (such as China and Singapore).

The analysis of the conceptual model is based on the utilisation of behavioural data obtained from the Airbnb website. Due to the nature of the available data, proxies are employed as measures for variables such as platform performance.

This research is amongst the first to provide empirical evidence for actor engagement formation and the function's role in platform performance in the sharing economy. The global nature of Airbnb as a platform facilitates the investigation of country-level factors, specifically cultural values, across seven diverse countries and highlight differences from business to customer (B2C) business models.

This paper aims to identify how, in contrast to a provider-oriented stance where customer value is conceptualised as being controlled by the provider, customer value is formed for business customers beyond what is visible to the provider.

This paper builds on the primacy of the customer. Customer-dominant logic (CDL) is used as the conceptual underpinning, meaning that the customer, rather than the service provider or the service system, is at the centre. A case study was conducted with seven key users from three customer companies of an information and communications technology (ICT) provider of in-house services. The study used a micro-social level focus by capturing customers’ experiences of those activities where value in use is formed.

The findings indicate that value formation is not related only to direct service interactions and furthermore substantially takes place beyond a service provider’s visibility line. Hence, value formation is in large part hidden for the service provider because it is embedded in customers’ activities and experiences.

Although the study is limited to one case concerning ICT services, these findings may apply to other service businesses, in particular to knowledge-intensive outsourcing businesses.

Understanding a customer’s value formation from the customer’s point of view is the key to service development for any business service provider.

Applying a CDL approach, the authors deepen the understanding of customer value formation as it emerges in customer activities. The study provides detailed insight into business customers’ value formation processes. The study’s findings challenge the current emphasis on interactions and co-creation and instead demonstrate the importance of understanding customer logics and contexts.

Relational uncertainty determines how relationships develop because it enables the building of trust and commitment. However, relational uncertainty has not been explored in an inter-organisational setting. The purpose of this paper is to investigate how organisations experience relational uncertainty in service dyads and how they resolve it through suitable organisational responses to increase the level of service quality.

The author applies the overall logic of organisational information-processing theory and presents empirical insights from two industrial case studies collected via semi-structured interviews and secondary data.

The findings suggest that relational uncertainty is caused by the partner’s unresolved organisational uncertainty, i.e. their lacking capabilities to deliver or receive (parts of) the service. Furthermore, the author found that resolving the relational uncertainty increased the functional quality while resolving the partner’s organisational uncertainty increased the technical quality of the delivered service.

The author makes two contributions: first,the author introduces relational uncertainty to the OM literature as the inability to predict and explain the actions of a partnering organisation due to a lack of knowledge about their abilities and intentions; and second, the author presents suitable organisational responses to relational uncertainty and their effect on service quality.

The purpose of this paper is to introduce a representation scheme that helps original equipment manufacturers and their customers choose between different constellations of visibility‐based service.

The paper uses conceptual modeling and analysis of visibility‐based service infusion using demand‐supply chain representations.

In the context of service infusion, increased visibility refers to the improved tracking, retention, and sharing of evidence on which service requirements are based. A representation model of three distinct provider‐customer constellations is conceptualize that reflects specific types of visibility: collaborative service supply chain management: condition‐based maintenance as a service: and visibility‐based asset management. The representation is a useful tool for comparing manufacturers' optional service strategies from the perspective of the demand‐supply chain view. The constellations vary in terms of the type of visibility provided by the customer, the provider's use of this visibility, and the potential benefits and costs of transitioning between constellations.

The demand‐supply chain representations of visibility‐based service infusion are based on conceptual modeling and a literature review. Empirical research is needed to validate the use of the proposed representation for purposes of making comparative choices, and for exploring other purposes in decision making beyond that of comparative choice.

A tool for customers considering the benefits of visibility‐based services, comparative representation of constellations can help providers formulate better strategies for introducing visibility‐based services in a customer relationship.

The study combines supply chain theory with the service infusion literature in a novel way to produce a framework for comparative representation and decision making in visibility‐based service infusion.

The purpose of this paper is to explore the switching behavior of mobile service customers in the USA with a focus on service quality, innovation and lock-in strategies as deterrents of switching.

A thorough literature review coupled with two focus group interviews provided the impetus for the design and development of a survey instrument that was then administered to graduate and undergraduate students in the Southeast USA.

The paper finds that: mobile service quality (m-SERVQUAL) is a significant detractor of switching intentions of customers – if customers perceive their provider to be innovative, they are less likely to switch to another provider; the perception of being innovative is equally as important as the perception of the service quality delivered by the provider; hard lock-in (unreasonable contract length) leads customers to increase their intention to switch, which is completely counter to its intended purpose; and service quality perceptions and perceptions of the innovativeness of the company positively impact consumers ' intent to buy more add-on services.

Delivering high service quality as well as being perceived as an innovator are key determinants in reducing consumer switching. Each has a unique role to play, but understanding the impact of the interplay between them is critical. Important innovation factors for providers include creating new services, especially data services, and working with hardware manufacturers to provide new phone models more frequently. Lastly, hard lock-in (e.g. long contracts, contract breaking fees, etc.) may backfire with a higher reported propensity to switch in the long run.

The study draws attention to the importance of innovation in retaining customers. Counter to the literature, it also finds that hard lock-ins may be detrimental in the long run and a practice to be avoided.