New Wave in Mobile Commerce Adoption via Mobile Applications in Malaysian Market: Investigating the Relationship Between Consumer Acceptance, Trust, and Self Efficacy

Singh, Satwinderjit; Zolkepli, Izzal Asnira; Kit, Cheah Wen

doi:10.3991/ijim.v12i7.8964

Cited by 28 publications

(39 citation statements)

References 31 publications

(44 reference statements)

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“…Findings of the application of the regression test to study the quality of service on the interaction of customers with mobile banking applications, as follows: Table 3 shows that there is an intermediate relationship between the quality of service and the interaction of customers with mobile banking applications. The value of this relationship was 0.771, with the value of R square, The value of (F) was (239.57), with the statistical significance level (0.00), which means the significance of the regression at the level of significance (α ≤ 0.05), the value of (t) is equal to (15,478), with the statistical significance level (0.000) which means the significance of the coefficient at the level of significance (α ≤ 0.05). It can be said that there is a statistically significant impact of quality of service on customer interaction with mobile banking applications.…”

Section: Second: Findings Of Applying the Simple Linear Regression Testmentioning

confidence: 95%

“…Despite the growing interest from previous research, attitude towards mobile commerce in the context of mobile apps is also less explored. In addressing this, their study aims to provide an empirical blueprint that investigates consumers' attitude as the antecedents of mobile commerce and mobile commerce adoption through a fundamental framework by adapting the Technology Acceptance Model [15]. Contribute to the literature in two important ways.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The study used a simple random sample consisting of 180 customers from 12 banks to answer the questionnaire. When reviewing the data, it was found that there were (15) invalid questionnaire for the statistical analysis. Thus, the study sample consisted of (165) valid questionnaires distributed over an online survey, a printed questionnaire.…”

Section: Population and Sample Of The Studymentioning

confidence: 99%

See 2 more Smart Citations

The Effect of Mobile Banking Application on Customer Interaction in the Jordanian Banking Industry

Aldiabat

Al-Gasaymeh

Kwekha-Rashid

2019

Int. J. Interact. Mob. Technol.

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Banks have changed from paper-based banking solutions provider to the latest of the technologies like mobile banking. Adoption of mobile-banking has received more attention in recent years, because there are more phones than computers in the market. But, like in any emerging technology, there exist barriers to the adoption of mobile banking services. This study will attempt to technically address these largely unfounded factors while helping to lay a roadmap for proper implementation of mobile banking technology in the Jordanian banking industry. The study found that Supportive Access factor of mobile banking is associated with the user satisfaction related to mobile banking.

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Section: Second: Findings Of Applying the Simple Linear Regression Testmentioning

confidence: 95%

Section: Literature Reviewmentioning

confidence: 99%

Section: Population and Sample Of The Studymentioning

confidence: 99%

See 1 more Smart Citation

The Effect of Mobile Banking Application on Customer Interaction in the Jordanian Banking Industry

Aldiabat

Al-Gasaymeh

Kwekha-Rashid

2019

Int. J. Interact. Mob. Technol.

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“…Regarding most online businesses, the relationship between trust and m-commerce has been widely discussed RIBS 29,3 (Palvia, 2009). Understanding users' trust has become one of the key focuses in recent technology adoption research (Choi, 2017;Singh et al, 2018;Pandey and Chawla, 2019;Liu and Li, 2019). It is more related to the consumer's belief that m-commerce has the ability and integrity to perform services based on their needs and desires.…”

Section: Trustmentioning

confidence: 99%

An analysis of the factors affecting mobile commerce adoption in developing countries

Tarhini

Alalwan

Shammout

et al. 2019

RIBS

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Purpose This study aims to investigate the factors that may hinder or facilitate consumers’ adoption of mobile-commerce (m-commerce) activities in the context of developing countries exemplified here by Oman. Design/methodology/approach A conceptual model was developed through integrating factors from UTAUT2 (performance expectancy, expectancy effort, social influence, facilitating conditions, hedonic motivation, price value, habit and self-efficacy) and SERVQUAL (system quality, service quality and information quality). Data were collected from 530 Omani m-commerce users through a cross-sectional survey. Findings The results of the structural equation modelling showed that consumers’ behavioural intention (BI) towards m-commerce adoption was significantly influenced by information quality, habit, performance expectancy, trust, hedonic motivation, service quality, price value and facilitating conditions, in their order of influencing strength, and explained 65.5 per cent of the variance in BI. Unexpectedly, effort expectancy, social influence, self-efficacy and system quality had no significant effect on BI. Practical implications This study will explain the currently relatively low penetration rate of m-commerce adoption in Oman, which will help local m-commerce businesses to develop the right organizational strategies, especially related to marketing strategies and developing mobile applications, which will draw the attention of many users. Originality/value This is one of the few studies that integrates UTAUT2 with SERVQUAL and tests the proposed model in non-Western cultural contexts. Specifically, in contrast to previous studies, diversity of individuals’ acceptance behaviour is examined in Oman.

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“…Table 6 shows the result on self-efficacy of the respondents. Self-efficacy refers to an individual's belief in his or her capacity to execute behaviors necessary to produce specific performance attainments [17]. The capacity of the respondents to use mobile in the teaching and learning is high as seen on the different indicators of self-efficacy.…”

Section: Resultsmentioning

confidence: 99%

Diagnosing Adoption to Mobile Learning

Ayo

Anacio

Sakay

et al. 2019

Int. J. Interact. Mob. Technol.

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This study was undertaken to address the need to modernize the modes of teaching and learning pedagogy by taking advantage of the proliferation of electronic gadgets and mobile devices since, as counted there are more computers than the people in the world (Boren, 2014). This research found out how learning in the new platform could be adopted by teachers and students. In addition, it tested the different variables involved in the use of mobile in learning by faculty and students of Centro Escolar University (CEU) to determine factors that made implementing technology a success or a failure.To attain the set objectives, this study made use of descriptive and inferential method to the data gathered from respondents via stratified random sampling. Specifically, it employed frequency, mean, standard deviation, t-test, analysis of variance and multiple linear regressions for the treatment of data derived from the survey questionnaires. To complete the triangulation approach and for consistency of findings, observation and interview were also conducted.Subsequently, in order to determine adoption to mobile learning the modified Unified Theory of Acceptance and Use of Technology (UTAUT) model was employed. This model shows relationship of moderating variables which are age, gender, voluntariness of use and experience from independent variables like performance expectancy, effort expectancy, social influence, facilitating conditions, anxiety and self-efficacy. After all the statistical treatments were applied, Anxiety, Self-Efficacy, Effort Expectancy, Performance Expectancy and Facilitating Condition contribute to the success of the introduction of technology to the organization, while social influence was excluded as the reasons why users adopt it.

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New Wave in Mobile Commerce Adoption via Mobile Applications in Malaysian Market: Investigating the Relationship Between Consumer Acceptance, Trust, and Self Efficacy

Cited by 28 publications

References 31 publications

The Effect of Mobile Banking Application on Customer Interaction in the Jordanian Banking Industry

The Effect of Mobile Banking Application on Customer Interaction in the Jordanian Banking Industry

An analysis of the factors affecting mobile commerce adoption in developing countries

Diagnosing Adoption to Mobile Learning

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