TY - GEN
T1 - Supporting and inhibiting factors of e-commerce adoption
T2 - 8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
AU - Muslim,
AU - Sandhyaduhita, Puspa Indahati
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/6
Y1 - 2017/3/6
N2 - In 2015, the number of internet user in Indonesia, already reached 88.1 million. There are around 5 million SMEs in Indonesia, but only about 75 thousand are already using e-commerce which means that the adoption of e-commerce by SMEs is still relatively low. Hence, this research aims to investigate what are the supporting and inhibiting factors for sellers (SMEs) in adopting e-commerce. The initial list of factors from the literature review are validated by 11 experts which resulted 25 supporting and 17 inhibiting factors grouped by using a combination of TOE framework and UTAUT model, namely I-TOE framework. Then, we distributed questionnaires on the basis of Fuzzy-AHP to rank the factors. The results show the top supporting factors are "Perceived ease of use", "Technology infrastructure available", "Customer communication improved", and "Encouragement from environment culture" while the top inhibiting factors are "Perceived no benefit gain", "Supporting infrastructure unavailable", "Lack of business compatibility", and "Vendor less friendly to customer".
AB - In 2015, the number of internet user in Indonesia, already reached 88.1 million. There are around 5 million SMEs in Indonesia, but only about 75 thousand are already using e-commerce which means that the adoption of e-commerce by SMEs is still relatively low. Hence, this research aims to investigate what are the supporting and inhibiting factors for sellers (SMEs) in adopting e-commerce. The initial list of factors from the literature review are validated by 11 experts which resulted 25 supporting and 17 inhibiting factors grouped by using a combination of TOE framework and UTAUT model, namely I-TOE framework. Then, we distributed questionnaires on the basis of Fuzzy-AHP to rank the factors. The results show the top supporting factors are "Perceived ease of use", "Technology infrastructure available", "Customer communication improved", and "Encouragement from environment culture" while the top inhibiting factors are "Perceived no benefit gain", "Supporting infrastructure unavailable", "Lack of business compatibility", and "Vendor less friendly to customer".
KW - Indonesia
KW - TOE
KW - UTAUT
KW - e-commerce adoption
KW - fuzzy-AHP
UR - http://www.scopus.com/inward/record.url?scp=85017010954&partnerID=8YFLogxK
U2 - 10.1109/ICACSIS.2016.7872777
DO - 10.1109/ICACSIS.2016.7872777
M3 - Conference contribution
AN - SCOPUS:85017010954
T3 - 2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
SP - 207
EP - 214
BT - 2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 October 2016 through 16 October 2016
ER -