Jorge Daniel Teixeira

Abstract
To cope with the fierce business competition and the increasing challenges brought with it, manufacturing companies have been demonstrating a growing interest in extending their service business. It is in this context that companies seek servitization strategies, i.e., developing the capabilities to add services to their traditional product offerings, to increase value to the customers and to differentiate themselves from the competition. However, companies pursuing a servitization strategy often lack methods and tools to design new services adapted to their context. Thus, this article seeks to cover this gap through the development of a new service design method, the (S)ervice (D)esign method for (C)ompanies undergoing a (S)ervitization process: SDCS. The development of this method followed Design Science Research (DSR) methodology. This article also presents the application of the SDCS method in a company undergoing a servitization process. © Springer Nature Switzerland AG 2020.

Abstract
Services are the backbone of modern economies and are increasingly supported by technology. Meanwhile, there is an accelerated growth of new technologies that are able to learn from themselves, providing more and more relevant results, i.e. Artificial Intelligence (AI). While there have been significant advances on the capabilities of AI, the impacts of this technology on service provision are still unknown. Conceptual research claims that AI offers a way to augment human capabilities or position it as a threat to human jobs. The objective of this study is to better understand the impact of AI on service, namely by understanding current trends in AI, and how they are, and will, impact service provision. To achieve this, a qualitative study, following Grounded Theory methodology was performed, with ten Artificial Intelligence experts selected from industry and academia. © Springer Nature Switzerland AG 2020.

Abstract
In celebration of the 10th anniversary of the International Conference on Exploring Service Science (IESS), this paper takes a historical look at the papers that have been published in the IESS proceedings. The analysis is focused on the development and evolution of the IESS community and of the main research topics covered by the published papers over time. The IESS community is portrayed in terms of authors, their affiliations and co-authoring network, while the topics are analyzed according to the papers’ keywords. Moreover, this paper analyzes the impact of the papers published in this decade, in terms of citations. These results are then discussed in light of the observed trends and of the evolution of the service science field, to guide the future development of the IESS conference and of research on service science. © Springer Nature Switzerland AG 2020.

Abstract
Although interest in FinTech businesses has been growing, research about these companies is still scarce. To address this gap, this paper aims to understand the evolution of the FinTechs ecosystem, through a socio-technical system theory and service innovation lense. A case study research methodology was used, in which 6 Brazilian and 5 Portuguese FinTechs were analyzed. Primary data was collected using semi-structured interviews with managers and employees of the startups, while secondary data was obtained through the analysis of reports from consulting firms and public relations materials of the startups. Results show the evolution of FinTech ecosystems from the perspective of socio-technical system theory and service innovation. From the socio-technical system perspective it was possible to understand the roles of social, technological and organizational actors in the evolution of these ecosystems. From the service innovation perspective, it was possible to understand the dynamics of the evolution of the FinTech ecosystems and its results. © Springer Nature Switzerland AG 2020.

Abstract
PurposeThis article provides an in-depth understanding of customer experience with smart services, examines customer perceptual responses to smart and connected service environments and enriches this understanding by outlining how contextual factors (in terms of goals, activities, actors and artifacts) influence the customer experience.Design/methodology/approachThis study adopts a qualitative approach in order to understand customer experience in the smart energy service setting. Semi-structured interviews and focus groups were conducted with 31 participants forming three groups of energy service customers: advanced smart energy (ASE) customers, electric mobility (EM) customers and high-consumption (HC) customers.FindingsThe findings show that customer experience with smart services involves a multidimensional set of perceptual responses, comprising specific smart service dimensions (e.g. controllability, visibility, autonomy); relationship dimensions (relationships with the service provider and with the community); and traditional technology-enabled service dimensions (e.g. ease of use, accessibility). The analysis of contextual factors such as goals, activities, actors and artifacts shows that smart services enable a more autonomous experience, wherein customers can integrate a myriad of actors and artifacts and expect the main service provider to support them in taking the lead.Originality/valueSmart technologies have profoundly changed the service environment, but research on customer experience with smart services is scarce. This study characterizes smart services, provides an in-depth understanding of customer experience in this new context, and discusses relevant implications for management and service research.