Abstract
In the technology enabled, competitive service environment, organizations try to innovate their service while redesigning their processes to increase efficiency. The present study is aimed at developing a design method that brings together, complementarily, constructs and approaches from two fields: Service Design, which offers a human-centered, holistic focus on creating novel services and Business Process Reengineering, mainly organizational, process redesign and process efficiency focused. The Service Design for Business Process Reengineering (SD4BPR) method was developed following a Design Science Research methodology and it was applied in a business environment for the improvement of the Pre-Sale processes of a software development company dedicated to the health area. The development of the method and its process of work are presented and discussed in order to show how SD4PBR can support the design of technology-enabled services while taking into consideration organizational issues and desired business efficiency.

Abstract
While service design has been accepted as a human-centered and cocreative approach to service innovation, its role in technology-driven contexts, specifically technology startups, has been largely unexplored. Previous research suggests that technology startups tend to focus on technical aspects of innovation, neglecting the value cocreation potential of service innovation that service design can facilitate. Focusing on value propositions as the main mechanisms of service innovation, this study explores how service design facilitates service innovation in technology startups. This longitudinal study examines the opportunities and challenges of introducing service design for the purpose of service innovation in five technology startups over a period of 11 months. Results reveal how service design facilitates the creation of new value propositions that expand the previous technology-driven focus towards a human-centered and cocreative one. Additionally, findings suggest that there are two levels of how service design becomes embedded in technology startups that are contingent on their life cycle stage. This contributes to the service innovation literature that views innovation as development of new value propositions and describes the key role of service design. The study also discusses managerial implications of the findings for technology startups and service designers and provides directions for future research.

Abstract
Purpose This paper explores how service design can contribute to the evolution of health service systems, moving them toward people-centered, integrated and technology-enabled care; the paper develops a research agenda to leverage service design research for healthcare transformation. Design/methodology/approach This conceptual study starts by analyzing healthcare challenges in terms of demographic trends and economic constraints, along with the problems of lack of people-centricity, dispersion of care and slowness in incorporating emerging technologies. Then, it examines the theoretical underpinnings of service design to develop a framework for exploring how a human-centered, transformative and service systems approach can contribute to addressing healthcare challenges, with illustrative cases of service design research in healthcare being given. Findings The proposed framework explores how a human-centered service design approach can leverage the potential of technology and advance healthcare systems toward people-centered care; how a transformative service design approach can go beyond explanatory research of healthcare phenomena to develop innovative solutions for healthcare change and wellbeing; and how a service systems perspective can address the complexity of healthcare systems, hence moving toward integrated care. Originality/value This paper systematizes and develops a framework for how service design can contribute to healthcare transformation. It identifies key healthcare application areas for future service design research and pathways for advancing service design in healthcare by using new interdisciplinary bridges, methodological developments and theoretical foundations.

Abstract
Technology advances have profoundly changed the way customers and service organizations interact, leading to a multitude of service channels. This study investigates consumer habits toward service channels in order to understand the influence of these channel habits on perceptions and intentions (perceived switching costs and attitudinal loyalty) and on consumer behavior (service usage and cross-buy). We empirically test the framework in the financial services industry, and the results reveal that physical store habit increases perceived switching costs and that acquired habits toward the physical store and self-service kiosks have a positive influence on attitudinal loyalty. Perceived switching costs positively affect service usage, and attitudinal loyalty positively influences cross-buy. In addition, habits in each channel lead to an increase in the number of services acquired (cross-buy), but online and self-service kiosks channel habits negatively impact service usage, as the lack of physical presence may increase customer uncertainty. Because habits are built on the frequency and stability of channel usage, firms can manage habits by encouraging frequent interactions under stable contexts. In addition, firms should stimulate customer habits toward the physical store as it is central to the promotion of loyalty and for increasing service usage.

Abstract
Purpose Elevating the human experience (HX) through research collaborations is the purpose of this article. ServCollab facilitates and supports service research collaborations that seek to reduce human suffering and improve human well-being. Design/methodology/approach To catalyze this initiative, the authors introduce ServCollab's three human rights goals (serve, enable and transform), standards of justice for serving humanity (distributive, procedural and interactional justice) and research approaches for serving humanity (service design and community action research). Research implications ServCollab seeks to advance the service research field via large-scale service research projects that pursue theory building, research and action. Service inclusion is the first focus of ServCollab and is illustrated through two projects (transformative refugee services and virtual assistants in social care). This paper seeks to encourage collaboration in more large-scale service research projects that elevate the HX. Practical implications ServCollab seeks to raise the aspirations of service researchers, expand the skills of service research teams and build mutually collaborative service research approaches that transform human lives. Originality/value ServCollab is a unique organization within the burgeoning service research community. By collaborating with service researchers, with service research centers, with universities, with nonprofit agencies and with foundations, ServCollab will build research capacity to address large-scale human service system problems. ServCollab takes a broad perspective for serving humanity by focusing on the HX. Current business research focuses on the interactive roles of customer experience and employee experience. From the perspective of HX, such role labels are insufficient concepts for the full spectrum of human life.

Abstract
This study proposes two predictive models of classification that allow to identify, at the end of the 1st and 2nd semesters, the undergraduate students of a higher education institution more prone to academic dropout. The proposed methodology, which combines 3 popular data mining algorithms, such as random forest, support vector machines and artificial neural networks, in addition to contributing to predictive performance, allows to identify the main factors behind academic dropout. The empirical results show that it is possible to reduce to about 1/4 the 4 tens potential predictors of dropout, and show that there are essentially two predictors, concerning student’s curriculum context, that explain this propensity. This knowledge is useful for decision-makers to adopt the most appropriate strategic measures and decisions in order to reduce student dropout rates.