TY  - JOUR
SN  - 00401625
PB  - Elsevier Inc.
EP  - 245
AV  - none
SP  - 236
TI  - Technology acceptance among micro-entrepreneurs in marginalized social strata: The case of social innovation in Bangladesh
N1  - cited By 67
Y1  - 2017///
VL  - 118
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013862823&doi=10.1016%2fj.techfore.2017.01.027&partnerID=40&md5=2ed2a1b8cde75cc8d0a60975f4b121d4
JF  - Technological Forecasting and Social Change
A1  - Rahman, S.A.
A1  - Taghizadeh, S.K.
A1  - Ramayah, T.
A1  - Alam, M.M.D.
KW  - Behavioral research; Digital storage
KW  -  Bangladesh; Micro-entrepreneurs; Money services; Technology acceptance; Technology readiness; Well being
KW  -  Acceptance tests
KW  -  entrepreneur; innovation; marginalization; mobile phone; technological development; technology adoption
KW  -  Bangladesh
ID  - scholars8695
N2  - Technology adoption by the marginalized community is indeed an important issue in global poverty reduction. To realize it, this paper contributes by doing an empirical test of the technology acceptance model, amongst those users typically always deprived in the existing social structure. Firstly, the study aims to examine the influence of Technology Readiness Index (TRI) 2.0â?²s four indicators (optimism, innovativeness, discomfort and insecurity) on bKash entrepreneurs' perceived ease of use (PEOU) and perceived usefulness (PU) of bKash technology. Secondly, it aims to investigate the effect of â??bKash' entrepreneurs' PEOU and PU on their well-being. A total of 360 usable data were collected from the bKash agents in Bangladesh. We employed SEM-PLS3.0 for data analysis. The results indicate that optimism and innovativeness strongly drive perceived ease of use and perceived usefulness. Subjective well-being was found to be strongly predicted by perceived ease of use and perceived usefulness. The study indicates that poor people are somewhat ready to use and accept technology that leads to a sense of well-being. Bringing together the concept of subjective well-being with TRI and Technology Acceptance Model (TAM) is this paper's contribution to the knowledge domain. © 2017 Elsevier Inc.
ER  -