In this inductive, qualitative study, we observe how Uber, a company often hailed as being the poster-child of the sharing economy facilitated through a digital platform may also at times represent and reinforce postcapitalist hyper-exploitation. Drawing on the motivations and lived experiences of 31 Uber drivers in Toronto, Canada, we provide insights into three groups of Uber drivers: (1) those that are driving part-time to earn extra money in conjunction with studying or doing other jobs, (2) those that are unemployed and for whom driving for Uber is the only source of income, and (3) professional drivers, who are trying to keep pace with the durable digital landscape and competitive marketplace. We emphasize the ways in which each driver group simultaneously acknowledges and rejects their own precarious employment by distancing techniques such as minimizing the risks and accentuating the advantages of the driver role. We relate these findings to a broader discussion about how driving for Uber fuels the traditional capitalist narrative that working hard and having a dream will lead to advancement, security and success. We conclude by discussing other alternative economies within the sharing economy.
Impact sourcing -the practice of bringing digitally-enabled outsourcing jobs to marginalized individuals -is an important emerging social innovation in the outsourcing industry. The impact sourcing model of delivering Information Technology and Business Process Outsourcing (IT-BPO) services not only seeks to deliver business value for clients, but is also driven by an explicit social mission to help marginalized communities enjoy the benefits of globalization. This dual focus has led to the ambitious claim that social value creation can be integral to (and not always by-products of) innovative IT-BPO models. Given the relative newness of the impact sourcing business model there is scarce research about how impact sourcing companies emerge and the process through which entrepreneurs build and operate such companies. This paper draws on a qualitative study of seven Indian impact sourcing companies and develops a process model of the individual-level motivational triggers of impact sourcing entrepreneurship, the entrepreneurial actions underpinning different phases of venture creation and the positive institutional-level influences on impact sourcing. The paper argues that since deeply personalized values are central to the creation and development of impact sourcing companies, the business model may not be easy to replicate. The analysis highlights an intensive period of embedding and robust alliances with local partners as crucial for the scalability and sustainability of the impact sourcing business model. It also emphasizes the role of 'social' encoding and mimicry in determining the extent to which impact sourcing companies are able to retain their commitment to marginalized communities.
Citation: ZIMMERMANN, A. and RAVISHANKAR, M.N., 2014 A central concern of such organisations is the development of social capital, which is known to facilitate the smooth transfer of knowledge. However, only a few studies in IS research have explicitly examined the role of social capital for knowledge transfer in an IT offshoring context. In this paper we argue that such knowledge transfer mechanisms can be understood better by considering social capital in concert with knowledge senders' efficacy and outcome expectations, two of the potentially key motivational drivers of knowledge transfer. We develop our arguments through a qualitative case study of a large German multinational company. German IT developers in this firm provided in-depth accounts of their experience with offshore colleagues in an Indian captive subsidiary unit. Drawing on our analysis, we develop a model that depicts the influence of social capital, efficacy and outcome expectations on onshore IT developers' ability and willingness to transfer knowledge to offshore colleagues. Through the model we also explain how social capital, efficacy and outcome expectations are interrelated and generate three interlocked, self-reinforcing circles of knowledge transfer success in IT offshoring relationships.
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