MOBILE COMMERCE – THE MODERATING ROLES OF PERCEIVED RISK AND APPLICATION CONTEXT

2016 ◽  
Author(s):  
Marco Hubert ◽  
Markus Blut ◽  
Christian Brock ◽  
Christof Backhaus ◽  
Tim Eberhardt
2012 ◽  
Vol 3 (2) ◽  
pp. 36-49 ◽  
Author(s):  
Emad Abu-Shanab ◽  
Osamah Ghaleb

This research extended the Technology Acceptance Model (TAM) with perceived trust and perceived risks (security and privacy concerns) constructs to identify the impact of these factors on Jordanian users’ intentions to adopt mobile commerce (m-commerce). An empirical test was used utilizing 132 responses from students in two public universities in Jordan. Results indicated that perceived trust, perceived usefulness, and perceived ease of use are major influencers of mobile commerce adoption. On the other hand, perceived risk factors (security and privacy concerns) were not significant in this relation. Discussion, conclusion and future work are stated at the end of this paper.


10.29007/v4j1 ◽  
2019 ◽  
Author(s):  
Philile Thusi ◽  
Daniel K. Maduku

Banking transactions carried out in the uncertain conditions of mobile commerce involve highlevels of perceived risk and require substantial levels of trust. Therefore, gaining customer trust and reducing the influence of risk is imperative to developing and nurturing long-lasting and strong relationship between customers and retail banks. However, limited research is currently investigating the effects of overall perceived risk and trust on retail banking customers use of mobile commerce, particularly from the perspective of emerging African economies. This study investigates the effects of perceived risk and institution-based trust on the use of mobile banking apps among South African retail bank customers. The model was tested using responses obtained from 352 users of the mobile banking services of the five major retail banks (ABSA, Capitec, FNB, Nedbank, and Standard Bank) in South Africa. The findings of this study suggest that institution- based trust has a significant positive influence on use behaviour of mobile banking apps. Furthermore, perceived risk has a significant negative influence on use behaviour; and, lastly, institution-based trust is found to have a significant negative influence on perceived risk.


2015 ◽  
Vol 16 (3) ◽  
pp. 335-354 ◽  
Author(s):  
Brian P. Cozzarin ◽  
Stanko Dimitrov

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Tristiyanto Tristiyanto ◽  
Syintia Dwi Nurrahmi ◽  
Yunda Heningtyas

The online shopping process in Bandar Lampung is facilitating by mobile commerce online shopping. The factor of using online shopping mobile commerce has never been analyzed based on the public perception in Bandar Lampung. This research discusses using mobile-commerce online shopping using the UTAUT2 model with Perceived Risk manifestations, namely Security Risk and Privacy Risk. The mobile commerce applications analyzed were Shopee, Lazada, Tokopedia, Bukalapak, and Blibli. The purpose of this research was to determine the UTAUT2 variable with the manifestation of Perceived Risk, namely Security Risk and Privacy Risk, which affect the use of online shopping mobile commerce. The data analysis method used is Structural Equation Modeling (SEM) with Partial Least Square (PLS) approach. The total number of respondents obtained was 183 respondents. The data tested were 373 data. This research results from the factors that most influence the behavioral intention and use behavior of mobile commerce online shopping is a habit.


The purpose of this study is to study positive and negative factors that can substantially explain mobile commerce (m-commerce) acceptance in Malaysia. A technology acceptance model for m-commerce with eights factors is constructed. Data collected from 400 respondents are being tested on the proposed model. Confirmatory factor analysis is performed to test the reliability and validity of the model and structural equation modelling is performed to access the relationship between behavior intention and each factor. The acceptance of m-commerce is influenced by factors including performance expectancy, effort expectancy, social influence, facilitating conditions, Mobility, Personal İnnovation, Perceived Trust and use behavior; while Perceived risk is insignificant in this case The results of this study are useful for m-commerce providers in adapting their m-commerce promotion strategy. This study contributes to the practice by providing a model for m-commerce user technology acceptance, which can be used as the basis for future investigations.


2011 ◽  
Author(s):  
Alessio Vieno ◽  
Michele Roccato ◽  
Silvia Russo

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