Search

The affinity for tech-driven solutions of 'smart cities' has been critiqued at length, as has the gender disparity in technology firms. This paper draws these literatures together along with our own data on Australia's innovation economy – one that includes its spaces (incubators, accelerators and co-working hubs), events ('hackathons'), and places (innovation districts). These three components are ubiquitous among smart city strategies across all levels of government. In this paper we examine the gendered landscape of the innovation economy and the strategic urban agenda to which it is tied. The paper draws on data collected through interviews conducted with women entrepreneurs around their experiences in Australia's innovation economy. Drawing from policy documents and further interviews, our discussion mirrors their vignettes with an examination of the three innovation economy components using case studies from Australian smart city planning. In doing so, we illuminate how the gendered experiences of women in the innovation economy are entwined with the smart urbanism imperatives of high-growth, technology-focus, and the attraction of 'talent'. Existing attempts to grapple with discrimination in the innovation economy are shown to reinforce gendered hierarchies, resulting in 'smart cities' designed for men. We argue that the gendered nature of the tech industries that underpin the innovation economy has implications for who the smart city is for. [ABSTRACT FROM AUTHOR]

Purpose: Social support has been identified as a valuable resource that could help entrepreneurs maintain goal directness in their endeavours and increase their life satisfaction. However, to date, scant research has examined the effect of perceived social support on life satisfaction during the transition from paid employment to self-employment. This paper uses the job demand resource model (JD–R) as a theoretical lens to investigate this relationship. Design/methodology/approach: Drawing on the household income and labour dynamics in Australia (HILDA) survey, we use latent growth curve modelling (LGCM) to investigate the trajectories of entrepreneurs' perceived social support and life satisfaction (n = 1,303) up to five years after their transition into self-employment. Findings: Results suggest that entrepreneurs experience a boost in life satisfaction in the transition phase, followed by a declining trend in the years that follow. We find that both the initial perception and the evolution of perceived social support are positively related to life satisfaction over time across gender groups. However, we find that females may benefit more from early social support soon after the transition into self-employment to forestall declines in life satisfaction over the long-term. Research limitations/implications: The generalisability of the research findings beyond the Australian context is undefined. Future research needs to examine to what extent these results can generalize to other samples within different cultural and institutional frameworks. Practical implications: Since perceived social support is a strong buffering mechanism that helps mitigate job demands, entrepreneurs need to be proactive in building a strong network. Individuals who switch to self-employment should carefully map and build a strong social network that can help them weather the challenges and setbacks in their new job. Originality/value: This study extends the JD–R literature by examining the transition into self-employment, considered an "active job" characterised by high demands and high decision latitude. LGCM modelling captures how both initial levels and changes in social support affect life satisfaction during entrepreneurship entry and over time. [ABSTRACT FROM AUTHOR]