The effects of small business organising on private and social optimality: a big data-augmented social network analysis of the construction waste collection sector in Hong Kong
Grant Data
Project Title
The effects of small business organising on private and social optimality: a big data-augmented social network analysis of the construction waste collection sector in Hong Kong
Principal Investigator
Professor Lu, Weisheng Wilson
(Principal Investigator (PI))
Duration
12
Start Date
2023-01-01
Amount
401930
Conference Title
The effects of small business organising on private and social optimality: a big data-augmented social network analysis of the construction waste collection sector in Hong Kong
Keywords
Small business organising, Private vs.social optimality, Social network analysis, Big data
Discipline
Others - relating to Social and Behavioural Sciences
Panel
Humanities & Social Sciences (H)
HKU Project Code
37000622
Grant Type
Humanities and Social Sciences Prestigious Fellowship Scheme (HSSPFS) 2022/23
Funding Year
2022
Status
On-going
Objectives
1. To understand small business organising patterns in Hong Kong’s construction waste collection sector by constructing and analysing social networks generated from big data; 2. To hypothesize and test the effects of different small business organising patterns on (i) waste hauliers’ private optimality, (ii) waste hauling services’ social optimality, and (iii) the alignment of private and social optimality (or, say, Pareto optimality) by using big data analytics; 3. To understand the causes behind the effects of different small business organising patterns by adopting qualitative methods such as case studies, interviews, and focus group meetings; and 4. To investigate efficient small business organising by developing a technology-assisted ‘Uber truck’-like platform to intervene in the social networks and examining its effects.