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As more companies and employees become involved in telecommuting, researchers and managers will need to understand the effects of this relatively new working arrangement on the work perceptions and behaviors of the individual telecommuter. The extant empirical literature provides mixed results and is limited by a lack of theory; consequently, neither researchers nor managers can rely on this literature for clear direction on how telecommuting will likely affect individual telecommuters. There is a critical need for theoretical frameworks to guide research on how telecommuting may affect the telecommuter’s job perceptions, working relations, and work outcomes. We present a multi-dimensional framework of telecommuting design, and focus on how telecommuting design may affect the telecommuter’s work environment and outcomes through its effects on the social system of the telecommuter, autonomy and self-management opportunities and requirements, and role boundaries, particularly in terms of the work and non-work interface. Our goal is to provide a framework to assist managers and researchers in systematically addressing questions of how to design telecommuting arrangements to maximize their potential benefits while minimizing their potential drawbacks.

The debate concerning the Quantified-Self Movement (QS) has been extremely polarised. As Tamar Sharon has pointed out, each aspect of the lifestyle promoted by Gary Wolf and Kevin Kelly has provoked opposite reactions, generating a debate that revolves around some basic conceptual dichotomies: empowerment versus surveillance, self-awareness versus reductionism, and personalised healthcare versus disintegration of public assistance (Sharon, 2017). The aim of this chapter is to provide a critique of QS, namely an assessment of its limits and its (technological and social) conditions of possibility. In particular, the author’s analysis will focus on the relationship between technology and subjectivity, and its main theoretical framework will be Michel Foucault’s research on the notion of ‘care for the self’ (Foucault, 1986, 2005). Quantification is an essential and unescapable aspect of our present technological environment. The devices that make our onlife (Floridi, 2014) possible are connected with a complex technological system made of GPSs, satellites, computers, and networks. Health is no longer managed through a distinct set of practices within the limits of a well-defined space (the hospital or the ambulatory), but it rather becomes a dataset integrated into a system where all aspects of life (health, law, leisure, work, social relations) are treated and managed simultaneously. This technological condition implies a new form of cognitive and practical delegation (Ippolita, 2016; Morozov, 2013), which makes the very notion of ‘self-tracking’ at least problematic. Individuals do not track themselves anymore: on the contrary, they are tracked by prosthetic extensions of their own bodies. This, however, does not mean that they do nothing. Our digital devices require a specific set of practices, a determinate way of life. The author will argue that these practices are the product of design, understood as a specific way of conceiving and organising the interaction between subject and technical object (Flusser, 1999). Through our technological environment, design reshapes the social and political function of bodies, their interaction and the set of practices connected to them (Bratton, 2015; Dyer, 2016; Vial, 2014). Automated quantification is an aspect of our designed user experience. As such, this chapter discusses design as a key element to understand the role of quantification in our digital milieu. It analyses the QS movement as a specific way of responding to our new technological condition. The main research question will be the following: is QS to be regarded as a simple acceptance of a new form of delegated – and thus alienated – subjectivity, or is it a kind of practice that allows the subject to overcome his passivity, and to take part in the process through which quantification is designed and managed? Is it possible to understand QS as a technology of the self (Foucault, 1988, 2005)?

With the move toward a more inclusive educational system across most jurisdictions, the expectation is that students with the most complex needs who have previously attended special schools, will gradually transition into inclusive schools. This expectation raises issues regarding the practicality of this move and the capacity of inclusive schools in being able to provide appropriate support and curriculum for these learners. Examples of transition programs across different countries are discussed to establish the most effective processes, support structures, and initiatives that have been employed to facilitate this transfer. The role of collaboration between schools and a review of support models that are provided for learners with high support needs in inclusive settings are discussed. Compared to the expectations for this move, and to understand the reality of it, perceptions of teachers, parents, and students are considered.

In the recent past, mobile technologies that track the movement of people, freight and vehicles have evolved rapidly. The major categories of such technologies are reviewed and a number of attributes for classification are proposed. The willingness of people to engage in such technologically based surveys and the reported biases in the make-up of the sample obtained are reviewed. Lessons are drawn about the nature of the samples that can be achieved and the representativeness of such samples is discussed. Data processing is addressed, particularly in terms of the processing requirements for logged data, where additional travel characteristics required for travel analysis may need to be imputed. Another issue explored is the reliability of data entered by respondents in interactive devices and concerns that may arise in processing data collected in real time for prompting or interrogating respondents. Differences, in relation to the data user, between data from mobile devices and data from conventional self-report surveys are discussed. Potentials that may exist for changes in modelling from using such data are explored. Conclusions are drawn about the usefulness and limitations of mobile technologies to collect and process data. The extent to which such mobile technologies may be used in future, either to supplement or replace conventional methods of data collection, is discussed along with the readiness of the technology for today and the advances that may be expected in the short and medium term from this form of technology.

The employee-organization relationship (EOR) has increasingly become a focal point for researchers in organizational behavior, human resource management, and industrial relations. Literature on the EOR has developed at both the individual – (e.g. psychological contracts) and the group and organizational-levels of analysis (e.g. employment relationships). Both sets of literatures are reviewed, and we argue for the need to integrate these literatures as a means for improving understanding of the EOR. Mechanisms for integrating these literatures are suggested. A subsequent discussion of contextual effects on the EOR follows in which we suggest that researchers develop models that explicitly incorporate context. We then examine a number of theoretical lenses to explain various attributes of the EOR such as the dynamism and fairness of the exchange, and new ways of understanding the exchange including positive functional relationships and integrative negotiations. The article concludes with a discussion of future research needed on the EOR.