Modeling User's Trust in M-Commerce Acceptance: A Conceptual Framework in Context of Pakistan

Rind, M. Malook; Koondhar, M. Y.; Hyder, Mansoor; Shah, Asadullah

doi:10.1109/acsat.2015.30

Cited by 4 publications

(7 citation statements)

References 46 publications

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“…It is of interest to note that additional research studies carried out in emerging economies demonstrated the influence of perceived trust in the adoption of m-commerce in Bangladesh and Pakistan (Ding et al, 2019;Rind et al 2015), m-payment services in India (Li ebana-Cabanillas et al, 2020), Smartphone banking applications in Malaysia (Wasiul et al, 2020), e-commerce in Indonesia (Muflih et al, 2020) and Colombia (S anchez-Torres et al 2019). Conversely, research on business initiatives targeting BOP customers has shown that they rarely fit their needs.…”

Section: Perceived Trustmentioning

confidence: 99%

Acceptance of mobile commerce in low-income consumers: evidence from an emerging economy

Dakduk

Santalla-Banderali

Siqueira

2020

Heliyon

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Section: Perceived Trustmentioning

confidence: 99%

Acceptance of mobile commerce in low-income consumers: evidence from an emerging economy

Dakduk

Santalla-Banderali

Siqueira

2020

Heliyon

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“…Earlier studies have analysed the adoption of MMT services and revealed several factors that impact the acceptance of mobile financial services. Two constructs have also been confirmed as determinants affecting the intention of other mobile financial services, such as mobile banking and mobile payment (Chang, 2014;Khalilzadeh et al, 2017;Le et al, 2020;Rind et al, 2017;Singh and Srivastava, 2018;Tse et al, 2019).…”

Section: Introductionmentioning

confidence: 93%

“…, 2014). Existing researchers have identified the significance of PC and PS (Pantano and Di Pietro, 2012; Yu, 2012; Rind et al. , 2017; Khalilzadeh et al.…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

“…However, Tobbin and Kuwornu (2011) examined the impact of factors on Ghana's customers' BI toward MMT and showed that high costs may prevent people from adopting MMT services. Rind et al (2017) also found that cost was a barrier to the adoption of mobile commerce in Pakistan; an increase in its usage cost would reduce its acceptance. Within the context of mobile banking, a study conducted by Singh and Srivastava (2018) surveyed 855 participants about their intention to accept mobile banking in India and found that the perceived financial cost has a significant impact on users' intentions to use mobile banking.…”

Section: Migration and Financial Transactionsmentioning

confidence: 99%

“…This is because UTAUT is considered to be the most complete model for predicting the acceptance of information technology (Martins et al, 2014). Existing researchers have identified the significance of PC and PS (Pantano and Di Pietro, 2012;Yu, 2012;Rind et al, 2017;Khalilzadeh et al, 2017) and have proved that information security is linked to users' BIs to use mobile payment services. Hence, this research uses this model to explore factors influencing BI in the context of mobile remittances.…”

Section: Introductionmentioning

confidence: 99%

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Migration and financial transactions: factors influencing mobile remittance service usage in the pandemic

Chang

Benson

2022

ITP

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PurposeIn the global migration crisis COVID 19 had devastating consequences. Workers were confined to their locations due to travel restrictions and working from home became “working away from home” for millions of migrant workers. Mobile financial services emerged as key to livelihood of the mobile remittance recipients. It is essential for service providers to gain insights of users' motives to use mobile remittance services.Design/methodology/approachThis study proposed the model by extending unified theory of acceptance and use of technology (UTAUT) model and integrating by perceived cost (PC) and perceived security (PS). Based on the survey data (n = 344) the proposed model was tested using analysis of variance (ANOVA) analysis.FindingsThe findings reveal that performance expectancy, effort expectancy, PC and PS affect the users' behavioral intention (BI) to use mobile remittance applications. Social influence nonsignificantly affects the BI and there is no significant influence of facilitating conditions on user behavior.Originality/valueThe volume of migrant workers preCOVID 19 reached 3.5% of the global population, the shear number of unprotected workers plunged into devastation by the COVID-19 impact is huge to cause an economic meltdown. Under the pandemic crisis conditions, the findings provide several practical implications on how service providers could improve their products and services to increase mobile remittance applications usage.

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Understanding agricultural grower’s information seeking: An analysis of Internet sources

Kapoor,

Singh

2023

Environ. Soc. Psychol.

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Information is indispensable for the sustainability and growth of every type of business. Farmers are also among those who cannot survive without the proper acquisition and application of Information. However, very few studies have considered the farmer’s need for and the seeking of information which is why to fill this gap, the study looked into the information sources used by farm growers to get the required information, the influence of land size on the utilization of information sources, and how different characteristics related to sources and individuals influence attitude toward the usage of internet sources and provided a model that takes into consideration crucial factors and their influence on attitude toward searching for information from Internet sources. Data were acquired from 400 farmers using a multistage stratified disproportionate sampling procedure and a standardized questionnaire. For evaluating the given data, various analysis techniques were utilized such as Descriptive statistics, Correlation analysis, One-way ANOVA, Factor analysis, and Multiple regression Analysis. The data were evaluated by using SPSS version 25. Farmers, according to the findings, mostly rely on other farmers and input dealers, and mass media sources of information like radio, television, magazines, and newspapers, to acquire information associated with agricultural activities. They commonly utilize mobile social media apps when surfing the internet. Furthermore, the findings discovered that there is a significant difference in the usage of various sources of information, including television, radio, newspapers/magazines, other farmers, input dealers, Krishi Vigyan Kendras, Krishi melas, the state department of agriculture, state agriculture universities, and the Internet on mobile phones-social media applications, depending on the farmers’ farm size. The findings also revealed that the factors that were significantly positively associated with farmers’ attitudes about internet use were, perceived usefulness, ease of use, information quality, facilitating conditions, and social influence. The technology Acceptance Model was used as the foundation for the research framework. By examining past research, the study has discovered additional factors that may influence technology adoption in addition to the two main components of the Technology Acceptance Model, namely perceived usefulness and perceived ease of use. The proposed model may assist information providers in their attempts to lessen and overcome barriers to farmers’ usage of technology. When building effective extension and dissemination programs, the preferred information-gathering modalities of a certain group of farmers should be considered. Intervention techniques must take into account the wide range of information that needs to be seen in farming communities. As a result, information providers must provide context-specific information through the sources that farmers prefer, while also considering the factors that influence their adoption and overcoming those barriers that prohibit farmers from using such sources. The study categorized farmers into four categories based on land size, which would assist information providers in acquiring a thorough grasp of each category of farmer and in developing separate and unique strategies for each type of farmer.

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Modeling User's Trust in M-Commerce Acceptance: A Conceptual Framework in Context of Pakistan

Cited by 4 publications

References 46 publications

Acceptance of mobile commerce in low-income consumers: evidence from an emerging economy

Acceptance of mobile commerce in low-income consumers: evidence from an emerging economy

Migration and financial transactions: factors influencing mobile remittance service usage in the pandemic

Understanding agricultural grower’s information seeking: An analysis of Internet sources

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