Paths for High Level of City Smartness
Mu et al. (2022) classifies four organisational conditions that influence the depth of technology enactment in government-led smart city projects. The four organisational conditions are Financial Capacity (FC), Information Sharing (IS), Human Resources Pressure (HR) and Leadership (LD). This study found that no single organisational condition can lead to the highest level of smartness. Different combinations of these four conditions is what vary the level of “smartness” of the smart city projects. Further, this study finds three paths or combinations that lead to Decision Intelligence, the high-level of smartness that not only processes data but also has the ability to analyse, make decisions and automatically judge a situation.
- Path #1: Weak FC, Poor IS and Strong HR
The lack of adequate and sufficient human resource (HR) is a strong push towards higher technological advancement in a government organisation. Thus, despite the weak financial capacity (FC) and poor information-sharing ecosystem, Smart City projects in this condition are more likely to adopt projects with decision intelligence level.
- Path #2: Poor of IS, Strong HR and Presence of LD
Supportive leadership (LD) despite poor information-sharing ecosystem in the organisation and inadequate human resources can achieve promising decision intelligence technology in the organisation.
- Path #3: Strong FC, Good IS, Weak HR and Presence of LD
Although there are no pressure due to inadequate or insufficient human resources (HR), government organisations that has strong financial capacity (FC), good information-sharing (IS) ecosystem and facilitative leadership (LD) has strong incentives to push for innovations and are more likely to adopt technology that are in the decision intelligence level of smartness.
Reference:
Mu, R., Haershan, M., & Wu, P. (2022). What organizational conditions, in combination, drive technology enactment in government-led smart city projects?. Technological Forecasting and Social Change, 174, 121220.
