Search results

Team cohesion and other team processes are inherently dynamic mechanisms that contribute to team effectiveness. Unfortunately, extant research has typically treated team cohesion and other processes as static, and failed to capture how these processes change over time and the implications of these changes. In this chapter, we discuss the characteristics of team process dynamics and highlight the importance of temporal considerations when measuring team cohesion. We introduce innovative research methods that can be applied to assess and monitor team cohesion and other process dynamics. Finally, we discuss future directions for the research and practical applications of these new methods to enhance our understanding of the dynamics of team cohesion and other processes.

In this chapter, we discuss health-related physical fitness and motor development assessments for students with physical disabilities or other health impairments in special education using traditional and innovative techniques. Traditional assessment techniques are those that are more standardized and formalized, while innovative assessment techniques refer to new variations or ways (alternative/authentic) to assess the abilities of students with physical disabilities and other health impairments. According to the United States Department of Education (2009), students with disabilities must be included in State and local assessments. Even though there has been significant growth in numbers, diversity and academic orientation of persons with physical disabilities, assessments practices have largely remained the same over the years. Adopting innovative pedagogies and emerging innovative assessment techniques may address some unmet needs of current students with disabilities faced with assessment biases.

Numerous research questions in e-HRM research are directly related to the usage of diverse information systems by HR professionals, line managers, employees, and/or applicants. Since they are regularly based on Internet technologies, information systems in e-HRM automatically store detailed usage data in log files of web servers. Subsumed as “web mining,” such data are frequently used as inputs for innovative data analysis in e-commerce practice. Though also promising in empirical e-HRM research, web mining is neither discussed nor applied in this area at present. Our chapter therefore aims at a methodological evaluation of web mining as an e-HRM research approach. After introducing web mining as a possible approach in e-HRM research, we examine its applicability by discussing available data, feasible methods, coverable topics, and confirmable privacy. Subsequently, we classify the approach methodologically by examining major issues. Our evaluation reveals that “web mining” constitutes a promising additional research approach that enables research to answer numerous relevant questions related to the actual usage of information systems in e-HRM.

This book provides an international perspective on improving information to support transportation decision making. It comprises a selection of papers plus workshop syntheses from the 9th International Conference on Transport Survey Methods in Chile in November 2011. The conference was organized into 14 workshops with both paper presentations and discussions in the workshops forming the majority of the conference activity. The papers reported primarily on research pertaining to continuous improvement in transport survey methods — the backbone of the transportation data pipeline in most countries. But some papers also addressed the new ways in which innovation — notably technological innovation — is being applied to the capture and analysis of data to produce necessary information faster, better, and less expensively. The conference program built on a rich legacy of intellectual pursuits spanning the past two decades, and it is anticipated that the conference will continue into the future. Thus, the contents of this book represent a 5–10 year view through a moving window on the international state of the practice and concerns in transport survey methods.

This chapter explores how the case studies were ‘messy’ research. Because we were researching in contexts with many unknowns, the research process was unpredictable. ‘Tidying up’ the research in advance and working within clearly defined parameters was not usually possible. Across the case studies, mess occurred at different points and in different ways in the research process. For some projects, the design itself was subject to uncertainty and change; sometimes what had been planned was not possible; sometimes what had been planned was not the best course of action as the project progressed; and sometimes the design itself was emergent, requiring creativity and flexibility to meet the project outcomes. Some projects faced messiness when trying to combine methods and data. Others encountered messiness when collecting data, deciding what counted as data, and interpreting data. The real-world nature of our research and our need to be responsive to dynamic and often unknown out-of-school contexts meant that our methods could not fit into the neatly structured shorthand that is often used to think about (and teach about) methods. As researchers, we were constantly dealing with fluid and changing identities, as our relationships with participants and spaces developed during the project. This also means that tidying up our research could be counter-productive. The chapter concludes that making sense of mess in research can reveal understandings that are sometimes hidden. Mess and complexity, then, is something to be held on to, celebrated and engaged with, rather than tidied away.

One of the characteristics of our age is urbanization and the increase in the population of cities and the development of small and large cities. In fact, the sustainable development of a city, which in its general sense means all-round growth and expansion without contradiction, with two main goals: (1) improving the quality of life in terms of the capacity of the environment and (2) responding to the needs of the present generation without restrictions for the future ones. But according to the fifth wave theory, entering the first edge of the future from 2020 to 2030, with the development of urbanization, we are witnessing instability in recent decades. Depletion of forests, thinning of the ozone layer, accumulation of greenhouse gases, noise pollution, threatening air pollution in cities are among these indicators in urban areas. Other important indicators also show the social and economic instability of the world community. The increase in poverty, economic growth without job creation, increase the gap between developed and developing countries, social disintegration, and the sense of citizenship of the residents of local communities and the class gap are among these indicators. Therefore, since 1970, with the advancement of technologies, today the realization of urban development depends on attention to the factors of innovation, digitalization, and intelligentization. In the concept of development, aspects, domains, and scales become important. This improvement of the current situation will be realized when it brings all-round intelligence without conflict and contradiction in meeting the tangible and intangible needs of this society. Growth in material and spiritual aspects, from local to global scales and in different economic, cultural, educational, social, technological, and even political fields. Therefore, paying attention to the quality makes the concept of development more effective. These qualities are aligned with the concept of sustainability. In this chapter, U-city, smart sustainable mobility through 5th Wave, i-Sustainability Plus, and doost cultural theory (DCT) will be probed as a new concept of urban living for blue-green smart city and mobility. In addition, challenges made some countries not to prefer to utilize smartness and ubiquitous idea as a tool for their problems, will be explored.

This chapter lays out a research agenda in the sociology of work for a type of data and organizational intermediary: work platforms. As an example, the authors employ a case study of the adoption of automated hiring platforms (AHPs) in which the authors distinguish between promises and existing practices. The authors draw on two main methods to do so: critical discourse analysis and affordance critique. The authors collected and examined a mix of trade, popular press, and corporate archives; 135 texts in total. The analysis reveals that work platforms offer five core affordances to management: (1) structured data fields optimized for capture and portability within organizations; (2) increased legibility of activity qua data captured inside and outside the workplace; (3) information asymmetry between labor and management; (4) an “ecosystem” design that supports the development of limited-use applications for specific domains; and (5) the standardization of managerial techniques between workplaces. These combine to create a managerial frame for workers as fungible human capital, available on demand and easily ported between job tasks and organizations. While outlining the origin of platform studies within media and communication studies, the authors demonstrate the specific tools the sociology of work brings to the study of platforms within the workplace. The authors conclude by suggesting avenues for future sociological research not only on hiring platforms, but also on other work platforms such as those supporting automated scheduling and customer relationship management.