TY - JOUR
T1 - Rural smartness
T2 - Its determinants and impacts on rural economic welfare
AU - Mukti, Iqbal Yulizar
AU - Henseler, Jörg
AU - Aldea, Adina
AU - Govindaraju, Rajesri
AU - Iacob, Maria E.
N1 - Mukti, I. Y., Henseler, J., Aldea, A., Govindaraju, R., & Iacob, M. E. (2022). Rural smartness: Its determinants and impacts on rural economic welfare. Electronic Markets. [Advanced online article at 9 March 2022]. https://doi.org/10.1007/s12525-022-00526-2 ---%ABS2%---Funding Information: This research was carried out with the financial support of the Indonesia Endowment Fund for Education (LPDP) with grant number S-297/LPDP.3/2019, and supported by the Office of Communication and Information of West Java Province (Diskominfo Jabar) and Jabar Digital Service (JDS), Indonesia. In addition, we gratefully thanks to the anonymous reviewers for their helpful comments on the previous version of this manuscript.
PY - 2022/12/1
Y1 - 2022/12/1
N2 - Solving urbanization problems, especially in developing countries, solely through the adoption of smartness in urban areas is insufficient as urbanization is mostly driven by the wide urban-rural economic gap. To narrow this gap, the adoption of smartness needs to be extended into rural areas. However, studies in that direction are still lacking. Therefore, we developed a theoretical model that explains the determinants of rural smartness and its subsequent consequences on rural economic welfare. We validated the model with survey data from 179 villages in West Java Province, Indonesia. The results suggest that rural smartness is determined by the interplay of organizational, environmental, and technological readiness, and has a strong positive impact on innovativeness which, in turn, improves the competitiveness of the rural business ecosystem. This model can serve as a reference for further studies of rural smartness and as the foundation for the design of information platforms supporting it.
AB - Solving urbanization problems, especially in developing countries, solely through the adoption of smartness in urban areas is insufficient as urbanization is mostly driven by the wide urban-rural economic gap. To narrow this gap, the adoption of smartness needs to be extended into rural areas. However, studies in that direction are still lacking. Therefore, we developed a theoretical model that explains the determinants of rural smartness and its subsequent consequences on rural economic welfare. We validated the model with survey data from 179 villages in West Java Province, Indonesia. The results suggest that rural smartness is determined by the interplay of organizational, environmental, and technological readiness, and has a strong positive impact on innovativeness which, in turn, improves the competitiveness of the rural business ecosystem. This model can serve as a reference for further studies of rural smartness and as the foundation for the design of information platforms supporting it.
KW - Urbanisation
KW - Urban smartness
KW - Rural smartness
KW - Rural development
KW - Economic welfare
KW - Partial least square (PLS)
UR - http://www.scopus.com/inward/record.url?scp=85126046073&partnerID=8YFLogxK
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000766402400001
U2 - 10.1007/s12525-022-00526-2
DO - 10.1007/s12525-022-00526-2
M3 - Article
SN - 1019-6781
VL - 32
SP - 1943
EP - 1970
JO - Electronic Markets
JF - Electronic Markets
IS - 4
ER -