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Discrimination is defined as negative or harmful behavior toward a person because of his or her membership in a particular group (see Jones, 1997). Unfortunately, experiences with discrimination due to racial group membership appear to be a normal part of development for African American youth. Discrimination experiences occur within a variety of social contexts, including school, peer, and community contexts, and with increasing frequency as youth move across the adolescent years (Fisher, Wallace, & Fenton, 2000; Seaton et al., 2008). Recent research with a nationally representative sample of African American 13–17-year olds revealed that 87% had experienced at least one racially discriminatory event during the preceding year (Seaton et al., 2008). Most of the research on the consequences of youths’ encounters with racial discrimination has focused on mental health outcomes (Cooper, McLoyd, Wood, & Hardaway, 2008), with surprisingly little work examining whether and through what mechanisms discrimination affects achievement motivation.

This work examines the intersection between traditional human resource management and the novel employment arrangements of the expanding gig economy. While there is a substantial multidisciplinary literature on the digital platform labor phenomenon, it has been largely centered on the experiences of gig workers. As digital labor platforms continue to grow and specialize, more managers, executives, and human resource practitioners will need to make decisions about whether and how to utilize gig workers. Here the authors explore and interrogate the unique features of human resource management (HRM) activities in the context of digital labor platforms. The authors discuss challenges and opportunities regarding (1) HRM in organizations that outsource labor needs to external labor platforms, (2) HRM functions within digital labor platform firms, and (3) HRM policies and practices for organizations that develop their own spin-off digital labor platform. To foster a more nuanced understanding of work in the gig economy, the authors identify common themes across these contexts, highlight knowledge gaps, offer recommendations for future research, and outline pathways for collecting empirical data on HRM in the gig economy.

High-quality employee motivation can contribute to an organization’s long-term success by supporting employees’ well-being and performance. Nevertheless, there is a paucity of research concerning how organizations motivate workers in non-traditional work contexts. In the algocratic context of the gig-economy, the purpose of this paper is to understand the role that technology can play in motivating workers.

Drawing on the self-determination theory, job-characteristic theory and enterprise social media research, this conceptual paper explores how the architecture of the digital labor platforms underlying the gig-economy (and the characteristics of jobs mediated through these IT artifacts) can impact key antecedents of self-motivation.

Combining theory and empirical evidence, this paper develops a mid-range theory demonstrating how organizations can support the self-motivation of gig-workers through the thoughtful design of their digital labor platforms and the integration of two social media tools (namely, social networking and social badging).

This paper answers calls for psychologically-based research exploring the consequences of gig-work as well as research studying the impacts of advanced technologies in interaction with work contexts on motivation. In theorizing around a large set of social-contextual variables operating at different levels of analysis, this paper demonstrates that individual-level motivation can be influenced by both task-based and organizational-level factors, in addition to individual-level factors.

The proposed theory provides novel insight into how gig-organizations can leverage widely accessible social media technology to motivate platform workers in the absence of human supervision and support. Theoretical and practical implications are discussed.

This introductory chapter surveys institutional experimentation that has emerged internationally in response to the contraction of the traditional model of employment protection. Various initiatives are discussed according to the particular challenges they are designed to address: the emergence of non-standard employment contracts; increasing sources of labour supply engaging in non-standard work; intensification of exogenous pressures on the employment relationship; the growth of intermediaries that separate the management from the control of labour; and the emergence of entities that subvert the employment relationship entirely. Whereas post-war industrial relations scholars characterised the traditional regulatory model as a ‘web of rules’, we argue that nascent institutional experimentation is indicative of an emergent ‘patchwork of rules’. The identification of such experimentation is instructive for scholars, policymakers, workers’ representatives and employers seeking solutions to the contraction of the traditional regulatory model.

This chapter draws together the main themes and conclusions from the book to provide an interdisciplinary analysis of the impacts of the gig economy. The effectiveness of the dynamic structural model of the gig economy for structuring and understanding of this heterogenous and somewhat hidden economy is also addressed. This chapter identifies the primary locations in which boundaries are shifting and suggests the onward impact of this, as well as ways in which organisations may be able to ameliorate the effects. It focusses in particular on the implications for the human resource management community and key stakeholders in the wider economy, in relation to future of work debates. Reflections on the utility, benefits and opportunities for interdisciplinary research within the current constrain of journal rankings and higher education performance regimes are also explored. Finally, a number of potential avenues for further research to advance our understanding of, and engagement with this form of commerce, are identified.

The purpose of this paper is to investigate the transfer of information from the building information modelling (BIM) models to either conventional or advanced asset management platforms using Linked Data. To achieve this aim, a process for generating Linked Data in the asset management context and its integration with BIM data is presented.

The research design employs a participatory action research (PAR) approach. The PAR approach utilized two qualitative data collection methods, namely; focus group and interviews to identify and evaluate the required standards for the mapping of different domains. Also prototyping which is an approach of Software Development Methodology is utilized to develop the ontologies and Linked Data.

The proposed process offers a comprehensive description of the required standards and classifications in construction domain, related vocabularies and object-oriented links to ensure the effective data integration between different domains. Also the proposed process demonstrates the different stages, tools, best practices and guidelines to develop Linked Data, armed with a comprehensive use case Linked Data generation about building assets that consume energy.

The Linked Data generation and publications in the domain of AECO is still in its infancy and it also needs methodological guidelines to support its evolution towards maturity in its processes and applications. This research concentrates on the Linked Data applications with BIM to link across domains where few studies have been conducted.

This study aims to develop a proprietary indicator to measure the digital presence of the institutions: the digital presence index.

This research delves into how nonprofit institutions, specifically business interest associations (BIAs), have developed their internet presence by applying essential digital marketing techniques. To this end, and using big data mining tools, this study analyzes the tracking by internet users of 102 BIAs, with their respective websites in 36 countries in Europe and the USA. In addition, the presence and activity of the institutions included in this study on social networks are considered.

This research serves as a basis for discussing the current gap between social reality and the digitalization of institutions. In this sense, conclusions are drawn on the importance of managerial profiles in decision-making on digitization and the necessary knowledge that, together with Web and social network managers, they must have to articulate the means and techniques that promote the internet presence of the organizations they manage.

Conclusions are drawn according to the geographical scope of the BIAs, and an argument is made about the difficulties of connection and loss of prominence of this type of institutions among their different target audiences, especially among the youngest and most digitized.

The chapter presents emerging evidence on the development of the platform economy, paying particular attention to the motivations for entering platform work, the conditions of platform work, and the extent of social protections afforded platform workers. Debate thus far has tended to be highly speculative and lacking in grounded empirical analysis, with policy-makers in particular actively looking to regulate platform work on the basis of its novelty as a form of employment within the wider context of the decline of the “standard employment relationship.” The chapter explores such concerns through an analysis of European Union labor market data and a unique data-set of circa 1,200 online “click workers” across four established platforms. A novel contribution of the analysis is to differentiate between those that only work on platforms (work-dependent platform workers) and those that do such work in addition to another job. The analysis suggests that work-dependent platform workers are more likely to be differentiated by their motivations for doing such work than their experiences of job quality or access to social protections. However, the relationship between platform working and levels of social protection is complex, notably in terms of combined level of social protection and the contractual arrangement of additional job holders. This leaves us to conclude that policy initiatives designed to address gaps in social protections for platform workers would be more appropriately targeted toward problems of insecure work more broadly. Finally, a number of areas for future research are outlined.

Guided by Ericson’s counter-law analytic, the focus of this paper is how peace bonds erode traditional criminal law principles to govern uncertainty and provide applicants with a “freedom from fear” (Ericson, 2007a). Peace bonds permit the courts to impose a recognizance on anyone likely to cause harm or “personal injury” to a complainant. This paper conducts a critical discourse analysis to answer the question: how and to what extent are peace bonds a form of counter-law? Facilitated by the erosion of traditional criminal law principles and rationalized under a precautionary logic, proving that a complainant is fearful through a peace bond can result in the expansion of the state’s capacity to criminalize and conduct surveillance.