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‘I like the fact that it's simple; I like the fact that it's not too complicated, and I think that whoever developed it, developed it with the people in mind’. Blended learning master's student talking about Solent Online Learning.The authors carried out an extended project aimed at making effective use of the Virtual Learning Environment (VLE) for the delivery of high-quality online distance and blended learning. This was in response to a greater demand for such courses through the emergence of a new constituency of learner, principally professional learners, those already in employment but seeking to improve their level of qualification and employability through the study of flexibly delivered credit bearing courses. The growth of this constituency can be seen very much as a response to the changes to the funding structure in the higher education sector in the UK. To this end, the authors worked within a team that developed an approach to effective course design, the Solent Online Learning Standard, and then a new methodology for collaborating with academic staff in the development and delivery of such courses. In order to best facilitate this, the team also created a new instance of its institutional VLE, called Solent Online Learning and tailored more to the needs of these new professional learners.

Catherine Althaus, Ph.D., is an Assistant Professor at the University of Victoria in Canada. Her present research interests focus on public policy and public administration as well as bioethics, leadership in the public service, and the interface between politics and religion. She teaches online courses in the Master of Public Administration and Master of Arts in Community Development programs.

The chapters in this book focus on using an array of different Web 2.0 technologies and web-enabled learning platforms to create technology-rich learning environments. These types of social learning technologies can be used to build flexible and agile learning environments and foster collaborative learning activities for students. Whereas Web 1.0 is considered a content-centric paradigm, Web 2.0 is considered a social-centric paradigm. In other words, at the heart of Web 2.0 is social networking, social media, and a vast array of participatory applications and tools. This book examines the possibilities of Web 2.0 technologies in general and social technologies in particular, including blended (hybrid) learning technologies and applications. At least four factors have driven the rapid changes we have experienced in the way we teach and learn with these technologies: (1) these technologies are digital, making them highly versatile and integrative, (2) these technologies are globally ubiquitous, making them accessible to anyone and anywhere there is an Internet connection, (3) these technologies are generally low cost or free, making them accessible to anyone with a computer or mobile device, and (4) the development of more sophisticated learning theories, greatly increasing our understanding of how to best apply these technologies in an academic setting.

Social categorization processes may lead work groups to form different types of group norms. We present a model of norm formation and suggest that group norms may emerge immediately following the group’s inception. Further, the content of such norms may be influenced by group members’ demographic heterogeneity. We outline a profile of work group norms and describe how social categorization processes influence norm formation. We also develop a series of testable propositions related to these norms. Finally, we discuss the implications of our social categorization model for future research on work groups in organizations.

This chapter is about how leaders attempt to move from traditional to shared leadership and why they often cannot. We develop a new theoretical framework to examine whether leaders are willing to shift control from themselves to their followers and thus promote shared leadership in their teams. We argue that control shifts, while necessary for shared leadership, are particularly difficult for leaders to enact. This is because leadership is often closely bound with power and status in the organization, a reality of organizational life that is often overlooked in the quest for new forms of leadership, such as shared leadership. Our contribution lies in examining leaders’ ability to enact shared leadership through the lenses of primary and secondary control, and situating control shift in the context of global leadership including selected cultural dimensions, complexity, and paradoxes.

The deadhead subculture – centered around the band Grateful Dead – has been active for 50+ years. Despite its longevity, academic work is sparse compared to other music subcultures. Given its durability and resilience, this subculture offers an opportunity to explore subcultural development and maintenance. I employ a contemporary, symbolic interactionist approach to trace the development of deadhead subculture and subcultural identity. Although identity is a basic concept in subculture research, it is not well defined: I suggest that the co-creation and maintenance of subcultural identity can be seen as a dialectic between collective identity and symbolic interactionist conceptions of individual role-identity.

This chapter makes a brief incursion through a trajectory of over three decades of activism by the Centre for the Study of Violence at the University of São Paulo (Núcleo de Estudos da Violência in Portuguese, NEV) in Brazil, recovering the legacy of its forms of activism and academic reflection while analysing the interfaces between violence and democracy in Brazil. The 1980s in Brazil were marked by expectations of profound political and social changes in the context of democratic transition. After 21 years of dictatorship (1964–1985), the military gradually withdrew from government, returning the state’s executive branch to civilian representatives. This was a moment of optimism for progressive groups and social movements, which had fought to dismantle the tradition of arbitrariness and violations of rights perpetrated by the state during the military dictatorship. In this context, NEV was founded as a research unit linked to the Faculty of Philosophy, Letters and Human Sciences. Its core academic objective was to analyse and scientifically denounce the conjuncture of violence and human rights violations that remained recurrent; consequently, it demonstrated the continuity of unequal power relations, social and cultural practices that fuel authoritarianism in times considered not authoritarian.

The purpose of this paper is to forward an extension of reception analysis as a way to incorporate and give insight to social media mediations and big data in a qualitative marketing perspective. We propose a research method that focuses on discursive developments in consumer debates for example on YouTube – a large-scale open-access social media platform – as opposed to the closed and tightknit communities investigated by netnography.

Online reception analysis

Using a combination of qualitative and quantitative methods, we find that big data can enrich online reception analyses by showing new aspects of weak tie online networks and consumers meaning making.

The potential of online reception analysis is to encompass a discursive perspective on consumer interactions on large-scale open-access social media and to be able to analyze socialities that do not represent shared cultures but are more representative of transitory everyday interactions.

Our method contributes to the current focus to define levels of analysis beyond research centered on individuals and individual interactions within groups to investigate other larger socialities. Further, our method also contributes by incorporating and investigating the mediatization of interaction that social media contributes with and therefore our methods actively work with the possibilities of social media. Hence, by extending the advances made by netnography into online spaces, online reception analysis can potentially inform the current status of big data research with a sociocultural methodological perspective.