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This chapter provides an insider perspective on the Quantified Self (QS) community. It is argued that the overall approach and methods used in the QS community have not been adequately described. Consequently, the aim of the chapter is to give an account of the work performed by self-trackers in what we coin the 1-Person-Laboratory (1PL). Additionally, the chapter describes other aspects of the 1PL, for example the methods, procedures and instrumentation that are being used and the knowledge sharing taking place in the QS community. With a point of departure in empirical cases it is demonstrated how QS self-trackers put their own questions, observations and subjective experience front and centre by using their own instrumentation and data sets in their personal laboratories. In the 1PL, the causalities that are looked for are not aimed at generalisation to an entire population; on the contrary, the causal connections on the level of the person are essential for discovery by the individual.

Metrics, data, algorithms and numbers play an unmistakably powerful role in today’s society. Over the years, their use and function have expanded to cover almost every sphere of everyday life so much so that it can be argued that we are now living in a ‘metric culture’, a term indicating at once the growing cultural interest in numbers and a culture that is increasingly shaped by numbers, as Beer (2016) also argues. At the same time, metric culture is not only about numbers and numbers alone, but also links to issues of power and control, to questions of value and agency and to expressions of self and identity. Self-tracking practices are indeed a manifestation of this metric culture and a testimony to how measurement, quantification, documentation and datafication have all become important tropes for managing life and the living in contemporary society. In this introductory chapter, I provide a general contextualisation of the topic of this edited collection along with an overview of the different chapters and their key arguments.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

Volgograd, Russia, my home for most of my life, was entirely rebuilt after World War II. Under its prior name, Stalingrad, the city was the epicenter for what many believe was the most crucial battle in the entire war. That battle came at the cost of many millions dead and wounded and the destruction of all but one shell of a building. From this oblivion, a new city arose under the direct order of Stalin, who mobilized captured German engineers for the task. Following his concept of planning, the city would be long and narrow, hugging the banks of the mighty Volga River for some 80km. The width would involve only two main thoroughfares with side streets. The narrow profile would allow for farms and dachas to be close by on one side and the river on the other, providing bounteous and accessible food. Residences were organized in neighborhoods formed around key enterprises lining the river to meet their needs for water. The neighborhood designs allowed workers to easily walk to work. It was a truly utopian scheme.

This chapter explores the unique role of leadership in organizational innovation. Drawing from the investment theory of creativity (Sternberg & Lubart, 1995), we show that organizational innovation begins with a leadership decision. Based on a review of the creativity, organizational, and leadership literatures, the key components of organizational innovation are examined from individual, group, and organization-wide perspectives. Leading innovation is conceptualized as a special case of leading organizational change, which requires creative leadership skills applied to social systems. Establishing an organizational environment that supports innovation in the current market environment increases systemic paradoxes that must be managed by leaders. We conclude that leading innovation increases the creative demand on the leadership system, which requires leaders who have a developed understanding of the process of innovation and its environmental requirements.

This study aims to explore information related to higher education strategies and policies to support knowledge sharing activities. This study involved 21 informants from several private universities in Java. The results showed that the strategies and policies of knowledge sharing are related to funding support for conducting research, attending seminars or workshops, forming scientific discussion forums that facilitate knowledge sharing activities. Publication of books, journals, or other academic products such as modules, patents, and publication of articles in journals or magazines are the most important knowledge sharing activities and the support of the internet, e-mail, and mobile phone technology plays an important role in knowledge sharing activities. Helping one another, learning from each other, and sharing new information with each other are the main motivations for encouraging knowledge sharing activities, while time constraints are a major obstacle in sharing knowledge among others.

This chapter investigates the role of gender, mentoring and social capital and contributes to literature about the career development of women in senior management roles in the National Health Service of the UK. It draws on a doctoral study of senior-level managers in a Scottish NHS Board. The data collected are: (i) documentary; (ii) quantitative; and (iii) qualitative. The quantitative data are collected through questionnaires, while the source of qualitative data is in-depth semi-structured interviews. The doctoral study is embedded within an interpretivist and feminist paradigm. Although access to mentoring and social capital was seen as likely to enhance the career progression of females to senior managerial roles, gendered work and family expectations, gendered organisational culture, and normative performances of gendered senior management were identified as obstacles in taking advantages of mentoring and social capital. To the best of our knowledge, this is the only piece of work that explicitly investigates the role of mentoring and social capital in managing gender diversity at the senior managerial positions of the NHS.

With growing interest in the uses of hedonic technologies and gamification in system design, the concept of cognitive absorption (CA) has become increasingly salient in the information systems literature. However, little effort has been made to evaluate the research status and consolidate the current literature findings. To fill these research gaps, the authors conducted a literature review on CA. The authors then proposed an integrative framework that summarises the key elements of and variables related to CA and their relationships. The major findings of the study are discussed, and an agenda for future research is proposed.