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Do the Preceding Self-service Technologies Influence Mobile Banking Adoption?
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The study aims to identify the role of preceding self-service technologies (SSTs) in the adoption of mobile banking (m-banking). More specifically, the study examines the impact of attitude (AT), perceived usefulness (PU) and perceived ease of use (PEOU) of online banking (o-banking) and ATM in the adoption of m-banking. By using the non-probability purposive sampling technique, the data was gathered through a structured questionnaire from the non-users of m-banking. The partial least square-structural equation modeling (PLS-SEM) technique was employed on 257 useful responses to assess the hypotheses. The findings provided evidence that the AT towards ATMs and o-banking significantly affects the AT towards m-banking (ATMB). Moreover, the PEOU of ATM and o-banking significantly affects the PEOU of m-banking. However, in the case of PU, only the usefulness of o-banking affects the usefulness of m-banking. The results also reveal that the AT, PEOU and PU of m-banking affect the intention to adopt m-banking (IMB). The study benefits the banking industry as it provides insights on how banks can use their preceding SSTs in developing a consumer’s intention to use m-banking. This is one of the early studies that considers the effect of PEOU and PU of previous SSTs on the adoption of m-banking. The multi-channel perspective, that is, ATMs and o-banking in the adoption of m-banking, also offers additional valuable insights and contributes to the literature of technology adoption. In the past, studies have not focused on the spillover effects of preceding SSTs. However, mature channels could be used in boosting a new channel.
Title: Do the Preceding Self-service Technologies Influence Mobile Banking Adoption?
Description:
The study aims to identify the role of preceding self-service technologies (SSTs) in the adoption of mobile banking (m-banking).
More specifically, the study examines the impact of attitude (AT), perceived usefulness (PU) and perceived ease of use (PEOU) of online banking (o-banking) and ATM in the adoption of m-banking.
By using the non-probability purposive sampling technique, the data was gathered through a structured questionnaire from the non-users of m-banking.
The partial least square-structural equation modeling (PLS-SEM) technique was employed on 257 useful responses to assess the hypotheses.
The findings provided evidence that the AT towards ATMs and o-banking significantly affects the AT towards m-banking (ATMB).
Moreover, the PEOU of ATM and o-banking significantly affects the PEOU of m-banking.
However, in the case of PU, only the usefulness of o-banking affects the usefulness of m-banking.
The results also reveal that the AT, PEOU and PU of m-banking affect the intention to adopt m-banking (IMB).
The study benefits the banking industry as it provides insights on how banks can use their preceding SSTs in developing a consumer’s intention to use m-banking.
This is one of the early studies that considers the effect of PEOU and PU of previous SSTs on the adoption of m-banking.
The multi-channel perspective, that is, ATMs and o-banking in the adoption of m-banking, also offers additional valuable insights and contributes to the literature of technology adoption.
In the past, studies have not focused on the spillover effects of preceding SSTs.
However, mature channels could be used in boosting a new channel.
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