168 research outputs found
Mind the gap: Balancing alliance network and technology portfolios during periods of technological uncertainty
While clique-embeddedness is generally considered to enhance firm performance, there are also reasons to expect that under conditions of technological turbulence clique-membership is less beneficial or might even become a liability. To address this, we study the innovative performance of clique members during periods of both technological change and technological stability. We find support for the idea that companies’ ability to adapt their alliance network (i.e. forming ties beyond the scope of the clique) and their ability to adapt their technology portfolios (i.e. access to novel technological knowledge) positively influences their innovative performance during technologically turbulent periods
Research policy and review 31. From branch plants to back offices: prospects for rural services growth
Services are being touted as a major source of future rural economic development. Such prospects depend on the definition of services and the ability to identify and measure them accurately. Recent literature on services is revised and attempts made to answer the questions: what are services and can they be measured accurately; how have rural areas fared with recent growth in services; what are the determinants of rural services growth; is their growth self-generated or is it derivative of other forms of development; what regulates service industry location; and do these factors differ from those for other industries? Policy recommendations about service industry location are also reviewed.
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When machines think for us: The consequences for work and place
AbstractThe relationship between technology and work, and concerns about the displacement effects of technology and the organisation of work, have a long history. The last decade has seen the proliferation of academic papers, consultancy reports and news articles about the possible effects of Artificial Intelligence (AI) on work—creating visions of both utopian and dystopian workplace futures. AI has the potential to transform the demand for labour, the nature of work and operational infrastructure by solving complex problems with high efficiency and speed. However, despite hundreds of reports and studies, AI remains an enigma, a newly emerging technology, and its rate of adoption and implications for the structure of work are still only beginning to be understood. The current anxiety about labour displacement anticipates the growth and direct use of AI. Yet, in many ways, at present AI is likely being overestimated in terms of impact. Still, an increasing body of research argues the consequences for work will be highly uneven and depend on a range of factors, including place, economic activity, business culture, education levels and gender, among others. We appraise the history and the blurry boundaries around the definitions of AI. We explore the debates around the extent of job augmentation, substitution, destruction and displacement by examining the empirical basis of claims, rather than mere projections. Explorations of corporate reactions to the prospects of AI penetration, and the role of consultancies in prodding firms to embrace the technology, represent another perspective onto our inquiry. We conclude by exploring the impacts of AI changes in the quantity and quality of labour on a range of social, geographic and governmental outcomes.</jats:p
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