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Despite its potential, warehouse managers still struggle to successfully assimilate autonomous mobile robots (AMRs) in their operations. This paper means to identify the moderating factors of AMR assimilation for production warehouses that influence the digital transformation of their intralogistics via AMRs.

Drawing on innovation of assimilation theory (IAT), this study followed an explorative approach using the principles of the case study method in business research. The cases comprised of four AMR end users and six AMR service providers. Data were collected through semi-structured interviews.

Four clusters of moderators that affect each stage of AMR assimilation were identified. These clusters include organizational attributes of end users (i.e. production warehouses), service attributes of service providers, technology attributes of AMRs and relational attributes between the AMR service providers and the AMR end users.

The authors extend the IAT framework by identifying various moderating factors between different stages of the AMR assimilation process. To the authors' knowledge, this is the first study to introduce the perspective of AMR end users in conjunction with AMR service providers to the “Industry 4.0” technology assimilation literature. The study propositions regarding these factors guide future intralogistics and AMR research.

The purpose of this study is to explore the interactions between commuters with disabilities and transport services providers and to contribute to a better understanding of transformative service design, ensuring equitable access and the overall well-being of individuals.

This study collected qualitative data through ethnographic fieldwork and interviews with commuters with disabilities and transport services providers. The data were thematically analysed using NVivo.

Evidence suggests that there are opportunities for service users to be included in the co-creation of transformative transport service at different stages of a journey: entering service interaction, transitioning through service interaction and exiting service interaction. However, the reluctance of service providers to transform their services was recognised, due to a lack of awareness, interest, regulator demands and financial capabilities.

This study broadens the comprehension of procedures and strategies for engaging consumers experiencing vulnerabilities in transformative service design and pushes the limits of the current understanding to recognise the inherent challenges of unregulated service providers designing transformative services in an unregulated market.

This newfound knowledge is crucial for developing better approaches that cater to the needs of these individuals and further contributes towards developing transformative service initiatives, which are activities that serve people experiencing vulnerabilities and that try to improve their well-being. These include specialised training and social marketing campaigns for service providers in the informal market and new mobility start-ups or social enterprises with the potential to disrupt the informal economy and offer innovative solutions, such as assistive technologies, mobile apps and journey planners that provide exceptional customer service.

Previous studies on transformative service designs have focused on regulated service providers, such as health care and financial services. This study, however, explores the unregulated transport sector in a developing country and recognises how the intricate nature of informal service provision may jeopardise the prospects of developing a transformative service for consumers experiencing vulnerabilities.

By introducing the mass customization service mode into the cloud logistics environment, this paper studies the joint optimization of service provider selection and customer order decoupling point (CODP) positioning based on the mass customization service mode to provide customers with more diversified and personalized service content with lower total logistics service cost.

This paper addresses the general process of service composition optimization based on the mass customization mode in a cloud logistics service environment and constructs a joint decision model for service provider selection and CODP positioning. In the model, the two objective functions of minimum service cost and most satisfactory delivery time are considered, and the Pareto optimal solution of the model is obtained via the NSGA-II algorithm. Then, a numerical case is used to verify the superiority of the service composition scheme based on the mass customization mode over the general scheme and to verify the significant impact of the scale effect coefficient on the optimal CODP location.

(1) Under the cloud logistics mode, the implementation of the logistics service mode based on mass customization can not only reduce the total cost of logistics services by means of the scale effect of massive orders on the cloud platform but also make more efficient use of a large number of logistics service providers gathered on the cloud platform to provide customers with more customized and diversified service content. (2) The scale effect coefficient directly affects the total cost of logistics services and significantly affects the location of the CODP. Therefore, before implementing the mass customization logistics service mode, the most reasonable clustering of orders on the cloud logistics platform is very important for the follow-up service combination.

The originality of this paper includes two aspects. One is to introduce the mass customization mode in the cloud logistics service environment for the first time and summarize the operation process of implementing the mass customization mode in the cloud logistics environment. Second, in order to solve the joint decision optimization model of provider selection and CODP positioning, this paper designs a method for solving a mixed-integer nonlinear programming model using a multi-layer coding genetic algorithm.

Service providers on highly competitive online outsourcing platforms employ various signals to entice buyers to make online purchases. One such signal—the solution exemplars—attracts attention through depictions of exemplary prior work completed by the service providers. Unfortunately, it is not known the extent to which solution exemplar characteristics affect sales performance nor is it clear how such signals perform in the presence of complementary signals such as service provider expertise. This paper explores these issues.

Extending signaling theory, the authors develop a model to explore the effects of solution exemplar characteristics (i.e. exemplar quantity, exemplar diversity and exemplar popularity) on sales performance under the moderating impact of service provider expertise. The authors test the model using proprietary data from ZBJ.com, a leading online outsourcing platform in China.

Exemplar quantity and exemplar popularity positively affect sales performance; exemplar diversity has no significant impact on sales performance and service provider expertise positively moderates the relationships between exemplar quantity, exemplar popularity and sales performance.

This work makes several significant contributions. First, the authors enrich the research on signals in online outsourcing by exploring the impact of solution exemplar characteristics on sales performance. Second, the authors analyze three solution exemplar characteristics: exemplar quantity, exemplar diversity and exemplar popularity. Third, this work shows that service provider expertise moderates the relationship between solution exemplar characteristics and sales performance. Important practical implications for both online outsourcing platforms and service providers are discussed.

Given the importance of senior volunteers in an ageing society, this study aims to deepen the understanding of how seniors create well-being by volunteering as service providers in terms of motivations for volunteer participation and value co-creation/co-destruction in service provision.

Focussing on senior volunteers acting as service providers in the tourism sector, this study conducted a programme of qualitative research with 15 senior volunteer tour guides in Japan and the UK through the purposive sampling method. The data were analysed by the Gioia method to identify data structure and create a conceptual model.

Seniors start with a mixture of different motivations, not only symbolic and health ones. However, after a certain period of training, they become more aware of their volunteer role as service providers and may strive to maximise the benefits to their clients. The overall performance of such a role supports their well-being. They may also experience episodes of value co-destruction; such negative experiences may be overcome by building good relationships with their colleagues in the organisation.

The paper identifies organisational support ideas for senior service provider volunteers aimed at overcoming negative experiences and achieving well-being, in terms of training and improved communication between organisation members.

This study contributes to the transformative service research literature by constructing a model to showcase the relationship amongst expectations of volunteering as a service provider, service delivery and well-being creation. This paper also discusses the positive and negative effects of volunteer service delivery on senior volunteers' well-being.

The purpose of this paper is investigating the value of service guarantee (SG) program in Service e-Commerce (SeC) which is one resolution to promote service transactions. SeC is emerging as a booming form of e-commerce where various services are contracted, managed, sold and even delivered via the Internet. However, the uncertainty of service quality and the heterogeneity of buyer preferences have been major challenges to sustainable development of SeC.

This study uncovered the value of SG in SeC by empirically analyzing the data collected from zhubajie.com, a well-known service e-marketplace in China, to classify the service providers, to indentify the predictors for SG subscription and to study the effects of SG on service providers’ business performance and service quality.

The authors found that the distribution of service provisions is diversified in terms of low-success, mid-success and high-success providers, while proactive or high ability-ranking providers consistently tend to subscribe to SG program. The study revealed that SG has diverse effects on business performance for low-success and mid-success providers. For high-success providers, it seems to not be an effective choice for transaction promotion. Finally, the results showed that SG marginally improved service quality.

This research provides some practical implications for SeC markets to improve SG program. In addition, the results also help service providers to understand the value of SG in depth.

This article extended the research of SG from the traditional offline market to the online market, as with SeC, in which transactions are conducted without face to face contact.

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 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.

Customer activity in service has mainly been understood within the boundaries of interactions with service providers. This paper goes beyond this view to focus on the customer's independent activity, of which interaction is only a part. Moreover, the concept of customer activity remains largely unexplored and undefined. Hence, the purpose of this paper is to develop the concept of customer activity and to show how it can be applied in an empirical study.

The paper reviews the concept of customer activity in service marketing. It then goes on to characterise and operationalise the concept, and finally apply it to an explorative study. The study contrasts customer activity from the provider's interaction-centric point of view with customer activity from the customer's own point of view.

This paper defines customer activities as discrete sequences of behaviour that aim at creating or supporting some types of value in the customer's life or business. A customer-dominant perspective on customer activity allows companies to understand the role of their service in the various activities of different types of customers.

The paper contributes to service research by bringing attention to the concept of customer activity and contrasting it with alternative concepts. The paper is the first to show how customers combine different activities (where service interaction is only one type) into systems, which they maintain to create value for themselves. By profiling customers according to activity systems, providers can understand their own role in the customer's network of value-creating activities.

To investigate the determinants of behavioural brand loyalty amongst dissatisfied customers in the business‐to‐business (B2B) services sector.

A qualitative study was conducted, with 28 personal interviews undertaken with managers who are involved in the choice of service providers. The respondents belonged to 24 organisations located in Australia. Template analysis and eyeballing were techniques used to analyse the data collected.

Assessment of the reasons why dissatisfied customers stayed with the service providers resulted in six categories. The categories were found to be, in order of decreasing frequency, impact of alternative providers, switching costs (18), others (17), inertia (14), investment in relationships (13), and service recovery (13). The results not only confirmed factors found in the literature, but also uncovered 11 other factors.

The sample size, whilst appropriate for qualitative research, should be considered adequate only for exploratory analysis and a further quantitative study is needed to validate the study.

This study is important for those firms who have many prospective switchers because it is important to understand why these customers stay, and to what extent such firms can discourage such customers from leaving in both positive and negative ways. For those service firms that are attempting to attract these prospective switchers, an understanding of why they do not switch is important, as it will enable them to develop strategies to overcome these switching barriers and gain market share.

This research is the first study to investigate in a single model a range of barriers to switching in a B2B services context. The results that confirmed categories found in the literature also discovered 11 other factors not evident in the extant literature.