Hannu Salmela

Background: Self-tracking technologies are widely used in people’s daily lives and health care. Academic research on self-tracking and the quantified self has also accumulated rapidly in recent years. Surprisingly, there is a paucity of research that reviews, classifies, and synthesizes the state of the art with respect to self-tracking and the quantified self. Objective: Our objective was to identify the state of the art of self-tracking and the quantified self in terms of health and well-being. Methods: We have undertaken a systematic literature review on self-tracking and the quantified self in promoting health and well-being. After a rigorous literature search, followed by inclusions, exclusions, and the application of article quality assessment protocols, 67 empirical studies qualified for the review. Results: Our results demonstrate that prior research has focused on 3 stakeholders with respect to self-tracking and the quantified self, namely end users, patients and people with illnesses, and health care professionals and caregivers. We used these stakeholder groups to cluster the research themes of the reviewed studies. We identified 11 research themes. There are 6 themes under the end-user cluster: user motivation and goal setting, usage and effects of self-tracking, continuance intention and long-term usage, management of personal data, rejection and discontinuance, and user characteristics. The patient and people with illnesses cluster contains three themes: usage experience of patients and people with illnesses, management of patient-generated data, and advantages and disadvantages in the clinical context. The health care professional and caregiver cluster contains two themes: collaboration among patients, health care professionals, and caregivers, and changes in the roles of patients and professionals. Moreover, we classified the future research suggestions given in the literature into 5 directions in terms of research designs and research topics. Finally, based on our reflections on the observations from the review, we suggest four future research directions: (1) users’ cognitions and emotions related to processing and interpreting the information produced by tracking devices and apps; (2) the dark side of self-tracking (eg, its adverse psychosocial consequences); (3) self-tracking as a societal phenomenon; and (4) systemic impacts of self-tracking on health care and the actors involved. Conclusions: This systematic literature review contributes to research and practice by assisting future research activities and providing practitioners with a concise overview of the state of the art of self-tracking and the quantified self.

BACKGROUND Self-tracking technologies are widely used in people’s daily lives and health care. Academic research on self-tracking and the quantified self has also accumulated rapidly in recent years. Surprisingly, there is a paucity of research that reviews, classifies, and synthesizes the state of the art with respect to self-tracking and the quantified self. OBJECTIVE Our objective was to identify the state of the art of self-tracking and the quantified self in terms of health and well-being. METHODS We have undertaken a systematic literature review on self-tracking and the quantified self in promoting health and well-being. After a rigorous literature search, followed by inclusions, exclusions, and the application of article quality assessment protocols, 67 empirical studies qualified for the review. RESULTS Our results demonstrate that prior research has focused on 3 stakeholders with respect to self-tracking and the quantified self, namely end users, patients and people with illnesses, and health care professionals and caregivers. We used these stakeholder groups to cluster the research themes of the reviewed studies. We identified 11 research themes. There are 6 themes under the end-user cluster: user motivation and goal setting, usage and effects of self-tracking, continuance intention and long-term usage, management of personal data, rejection and discontinuance, and user characteristics. The patient and people with illnesses cluster contains three themes: usage experience of patients and people with illnesses, management of patient-generated data, and advantages and disadvantages in the clinical context. The health care professional and caregiver cluster contains two themes: collaboration among patients, health care professionals, and caregivers, and changes in the roles of patients and professionals. Moreover, we classified the future research suggestions given in the literature into 5 directions in terms of research designs and research topics. Finally, based on our reflections on the observations from the review, we suggest four future research directions: (1) users’ cognitions and emotions related to processing and interpreting the information produced by tracking devices and apps; (2) the dark side of self-tracking (eg, its adverse psychosocial consequences); (3) self-tracking as a societal phenomenon; and (4) systemic impacts of self-tracking on health care and the actors involved. CONCLUSIONS This systematic literature review contributes to research and practice by assisting future research activities and providing practitioners with a concise overview of the state of the art of self-tracking and the quantified self.

Business process management (BPM) research emphasises three important logics – modelling (process), infrastructural alignment (infrastructure) and procedural actor (agency) logics. These logics capture the dominant ways of thinking in BPM, reflected in its assumptions, practices and values. While the three logics have proven useful in prior contexts, we argue that the applicability of these underlying assumptions in theorising BPM needs to be re-examined in the context of digital transformation. Based on an ethnographic study of BPM in a company undergoing digital transformation, we uncover tensions related to applying these prior logics that point to the need to update the underlying assumptions. Consequently, we propose new logics that we conceptualise as light touch processes (process), infrastructural flexibility (infrastructure) and mindful actors (agency). Our observations contribute to a rethinking of the dominant BPM logics by unpacking their dynamics in the context of digital transformation. Our study further highlight salient differences between digital transformation and IT-enabled organisational transformation contexts. We conclude by proposing new managerial approaches for BPM in digital transformation contexts.

In many cases, e-government is considered a name for transforming informative public services into electronic mode, although the focus of e-government should be on creating value for citizens as well as public organizations. In this article we apply Amit and Zott’s (2001) e-business value creation methods to an egovernment environment, namely early childhood education in Finland. The objective of the collaborative action research study was to find out what kind of business models in e-government would create value for citizens. The methodological result based on the collaborative nature of the study is a method for analyzing and generating business models. Amit & Zott’s framework also seems to be applicable to the e-government environment, and we were able to draw many viable business models for early childhood education, which forms the practical contribution of the study.