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Smart services have gained attention both among academics and practitioners, but manufacturing firms struggle in getting their new smart services extensively adopted by customers, employees and distributors. The purpose of this paper is to identify and analyse the requirements of different actors and the interconnectedness between their requirements in introducing smart services.

An embedded single-case study was conducted with a manufacturing firm and its network, including its sales and service personnel, customers and external salespeople. Data were collected via 30 in-depth interviews.

The paper advances the multi-actor perspective by identifying the requirements of key actors for introducing smart services. These requirements were divided into eight categories: value of smart services, reliability of smart services, competence for smart services, data security and management, attitude towards services, reliance, knowledge of installed base of equipment and services and service reputation. The findings reveal the interconnectedness of different actors’ requirements for introducing new smart services and how discussion and relationships between actors affected their requirements.

The findings represent a comprehensive template of requirements, as well as mapping the interconnectedness of actors’ requirements, serving as a practical guideline for managers.

This study characterises the introduction of smart services as a multi-dimensional, interconnected effort by manufacturing firms and their networks. It shows that service introduction cannot be viewed as manufacturer’s development task or customers’ adoption decision only. Propositions are offered on how multiple actors’ viewpoints can be combined to achieve success in introducing smart services.

This study aims to compare similarities and differences in library and information science (LIS) and non-LIS undergraduates’ conceptions and perceptions of smart libraries via drawing analysis.

In this study, a total of 156 undergraduate students described their perceptions of smart libraries as drawings and textual descriptions. A modified coding scheme with 8 categories and 51 subcategories was used to analyse the undergraduate students’ drawings.

Most of the undergraduate students’ conceptions of smart libraries still involve self-checkout and learning/reading, focusing on information appliances, technical services, activities and objects. The differences are that the LIS undergraduates’ drawings showed smart libraries with robots, interactive book borrowing with technology tools, intelligent services, location-aware services or mobile applications, whereas non-LIS undergraduates presented smart libraries as readers (learners), other activities and no smart technology services. LIS undergraduates focused on providing patron services with technologies. Non-LIS undergraduates were more likely to draw a complex space with immediate access to books or digital resources, quiet reading and the freedom to engage in library activities.

The results provide a baseline for future research on the topic and provide preliminary evidence of using the methods to discern LIS and non-LIS undergraduates’ conceptions of smart libraries.

The purpose of this paper is to craft a future research agenda to advance smart service research and practice. Smart services are delivered to or via intelligent objects that feature awareness and connectivity. For service researchers and managers, one of the most fascinating aspects of smart service provision is that the connected object is able to sense its own condition and its surroundings and thus allows for real-time data collection, continuous communication and interactive feedback.

This article is based on discussions in the workshop on “Fresh perspectives on technology in service” at the International Network of Service Researchers on September 26, 2014 at CTF, Karlstad, Sweden. The paper summarizes the discussion on smart services, adds an extensive literature review, provides examples from business practice and develops a structured approach to new research avenues.

We propose that smart services vary on their individual level of autonomous decision-making, visibility and embeddedness in objects and customer lives. Based on a discussion of these characteristics, we identify research avenues regarding the perception and nature of smart services, the adoption of smart services, the innovation through smart services as well as regarding the development of new business models.

Smart services is a new emerging topic in service marketing research, their implications on organizations, customers and the service landscape have not been fully explored. We provide a fresh perspective on service research by characterizing relevant aspects of smart service that will stimulate fruitful future research and advance the understanding and practice of smart services.

The purpose of this paper is to identify and investigate non-technical barriers for smart services in the capital goods industry.

A multiple methodology approach is adopted. First, qualitative workshops and interviews were conducted with 14 experts from five companies. The findings generated subsequently provided a basis for a large-scale quantitative survey of manufacturing company service representatives in the capital goods industry, the data from which were analyzed using explorative factor analysis.

In total, 25 items that represent barriers to smart service businesses were identified, using qualitative research. Large-scale quantitative research revealed 24 items structured into four factors. Additionally, the respondents’ assessment of the individual barriers’ impact on their smart service businesses is presented.

The study focuses on manufacturing companies in the capital goods industry, mainly, in the European countries. Caution should be exercised in seeking to generalize the results to other industries. The findings should be confirmed with subsequent confirmatory analyses using additional data.

The authors’ findings provide a comprehensive list and classification of barriers, as well as an assessment of their severity, serving as a practical guideline for managers.

This paper explores the barriers to smart services from a provider’s perspective. Its holistic approach and use of large-scale quantitative data qualify it as one of the first studies of this kind.

The purpose of this paper is to offer a discussion, definition and comprehensive conceptualization of the smart service experience, i.e. the way guests and customers in hospitality and tourism experience and value the use of personalized and pro-active services that the intelligent use of data and technology enable.

Based on prior research on service experience, smart services and the differences between regular and smart services, this paper develops a conceptual framework in which the smart service experience is the central construct.

The characteristics of smart services (the intelligent, anticipatory, and adaptable use of data and technology) permit customers to experience services that previous conceptualizations of the service experience could not capture. The smart service experience provides empowerment, a seamless experience, enjoyment, privacy and security, and accurate service delivery. The paper also discusses challenges that service firms face in employing smart services, and proposes a future research agenda.

Both academics and practitioners expect smart services to revolutionize many industries such as tourism and hospitality. Therefore, research is needed to help understand the way customers experience smart services, what values they derive from them and the way service firms can employ them sensibly to enhance customers’ experiences.

This paper synthesizes insights from the literature on customer experience, smart services and co-creation into a conceptualization of the smart service experience, and distinguishes it from previous conceptualizations of regular services.

The article aims to identify the association between each smart home service category's benefits and barriers to their adoption. The results seek to identify efficient approaches that motivate users to adopt smart homes services and support suppliers to establish strategies to expand and optimize smart home technologies.

The research used the chi-square test of independence to reveal the association between the benefits and barriers perceived by the users during smart home services implementation. Furthermore, the statistical analysis using reliable evidence based on 122 articles reported in the literature provides valuable knowledge for smart home implementation.

The results reveal which barriers and benefits in the smart home are essential for implementing each type of service. Therefore, the association between barriers and benefits with smart home services implementation can support the dissemination of smart home technologies.

The article provides evidence to develop strategies for implementing smart home services, supporting companies with guidelines to be more assertive in disseminating smart homes technologies.

Using the literature as a data source and raising the associations through the chi-square test of independence, the methodology provides a high level of generalization and strong evidence regarding the association of smart home benefits or barriers associated with every smart home service.

This study investigated the linkage between customers’ acceptance (CA) level and smart service competencies in the food sector across Penang, Malaysia. This research aims to develop a vision of how smart technology may transform the business model in hospitality industry to create value.

In this study, the level of CA of the smart restaurant is proposed as the dependent variable, while the perceived security (PS), perceived ease of use (PEOU) and perceived enjoyment (PE) are proposed as independent variables (IVs). The quantitative approach and simple random sampling method were adopted in this study. Data were collected from 150 respondents by distributing 225 survey questionnaires to restaurant customers across Penang, Malaysia. The data were analysed by the reliability test, factor analysis and multiple regression analysis using SPSS 23.0 software

The study outcomes indicated that PE and PEOU emerged as the most significant predictors for CA of smart services in restuarants in Penang. The smart services provide customers to experience enjoyable dining services with accurate and user-friendly service delivery.

This study may serve as a guideline for food and beverage (F&B) business owners and restaurant operators with an industrial standard to adopt smart services in restaurants and their progression to develop the intention to use such a novel technology. This research is one of the few attempts that have looked into the influences of hedonic, comfortable and security value on customers’ acceptance level of smart restaurant services.

Because of the use of digital technologies in smart cities, municipalities are increasingly facing issues related to urban data management and are seeking ways to exploit these huge amounts of data for the actualization of data driven services. However, only few studies discuss challenges related to data driven strategies in smart cities. Accordingly, the purpose of this study is to present data driven approaches (architecture and model), for urban data management needed to improve smart city planning and design. The developed approaches depict how data can underpin sustainable urban development.

Design science research is adopted following a qualitative method to evaluate the architecture developed based on top-level design using a case data from workshops and interviews with experts involved in a smart city project.

The findings of this study from the evaluations indicate that the identified enablers are useful to support data driven services in smart cities and the developed architecture can be used to promote urban data management. More importantly, findings from this study provide guidelines to municipalities to improve data driven services for smart city planning and design.

Feedback as qualitative data from practitioners provided evidence on how data driven strategies can be achieved in smart cities. However, the model is not validated. Hence, quantitative data is needed to further validate the enablers that influence data driven services in smart city planning and design.

Findings from this study offer practical insights and real-life evidence to define data driven enablers in smart cities and suggest research propositions for future studies. Additionally, this study develops a real conceptualization of data driven method for municipalities to foster open data and digital service innovation for smart city development.

The main findings of this study suggest that data governance, interoperability, data security and risk assessment influence data driven services in smart cities. This study derives propositions based on the developed model that identifies enablers for actualization of data driven services for smart cities planning and design.

This study explores the enablers of data driven strategies in smart city and further developed an architecture and model that can be adopted by municipalities to structure their urban data initiatives for improving data driven services to make cities smarter. The developed model supports municipalities to manage data used from different sources to support the design of data driven services provided by different enterprises that collaborate in urban environment.

In smart cities pervasive systems are deployed by enterprises and stakeholders in municipalities to provide digital services to citizens. But cities are faced with the challenge of achieving system pluggability, mainly service integration due to numerous actors and systems needed for smart urban transformation. Hence, there is need to employ a comprehensive and holistic approach to help achieve service integration of pervasive platforms. Therefore, this study presents an Enterprise Architecture Framework (EAF) to support smart urban transformation.

In this study the design science research methodology is adopted based on a multi-case studies of two organizations and data is collected using semi-structured interview from an organizations and municipality in Norway to validate how service integration can be achieved by the developed EAF to address pluggability challenges faced in urban environment.

Findings suggest that the presented EAF provides the structure to manage changes and maintain urban transformation and aims to align the business with the underlying information systems from the perspective of the stakeholders. Additionally, findings from the case studies modelled in ArchiMate language depict how service integration of different pervasive platforms provide digital services for smart urban transformation.

This research only employed semi-structured interviews to validate service integration of digital platforms, other identified dimensions of pluggability were not fully addressed in this study.

Findings from the case studies provides insights on how pervasive platforms can be integrated to achieve a pluggable digital service from different stakeholders and data sources in practice. The developed EAF presented in this study provide a model that supports collection and exchange of data from different data sources in smart urban environment to enable the provision and consumption of digital services.

The developed EAF aids system pluggability of actors and systems in providing digital service such as smart urban transformation that contributes to sustainable use of electric mobility in cities.

As cities increasingly deploy pervasive platforms to support urban innovation, researchers are seeking to explore how these platforms shape urban transformation. Presently, prior studies do not offer important insights into pervasive platform management from urban perspective. Against this backdrop, this study employs the information systems perspective of digital platforms literature roots in software development and physical product development to depict how the EAF can be employed to describe specific cases that integrate different pervasive platforms deployed by different stakeholders communicating to co-create collective digital services to citizens.

Smart city services (SCS) in contrast with other technology-based services, demand significant interaction and collaboration between the users and the service providers. This study examines the SCS delivery-channel characteristics and the users' personal (behavioral and demographic) characteristics that influence their satisfaction or dissatisfaction with the services, as well as their intention to adopt (i.e. continue using) the SCS-delivery channels.

A quantitative study using a structured questionnaire was conducted for this paper. The data-collection method was administered by emailing the survey to a list of 2,350 city/urban residents who are members of the two largest universities in the greater Dubai metropolis. A total of 600 completed responses (26 percent) were received back, while 580 useable responses (25 percent) were analyzed for this paper.

Our initial findings suggest that contrary to popular belief, it is not only SCS channel factors that influence user satisfaction and continuance intention. SCS users' personal characteristics (such as their user innovativeness and control-seeking behavior) are also pivotal in determining their satisfaction and intention to continue or not continue using the SCS-delivery channels.

The paper argues that both SCS channel factors and SCS users' personal characteristics jointly influence the users' experience of the services and therefore jointly determine their satisfaction with the service as well as their SCS usage continuance intention. The result of our research gives important insights into users' behaviors toward the emerging SCS channels in general, and it will be of great value to architects and designers of Smart City technologies around the world.

The paper argues that both SCS channel factors and SCS users' personal (behavioral and demographic) characteristics jointly influence the users' trials of the services, and therefore jointly determine their satisfaction with the service as well as their SCS usage continuance intention. The result of our research gives important insights into users' behavioral intentions toward the emerging SCS channels in general; and it will be of great value to architects and designers of Smart City technologies around the world.

This paper is one of the first few studies focused on investigating the antecedents of SCS usage behaviors in the Middle Eastern region.