User adoption of mobile commerce in Bangladesh: Integrating perceived risk, perceived cost and personal awareness with TAM

Rahman, Mohammed Mizanur; Sloan, Terrence R

doi:10.2991/itmr.2017.6.3.4

Cited by 38 publications

(31 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consistent with prior research [6,63], findings confirm a significant and negative association (p < 0.01) between perceived risks and perceived usefulness (H3). This result reflects the health professionals' concern about privacy and confidentiality, the main items that represent the construct of perceived risk in the healthcare context.…”

Section: Discussionsupporting

confidence: 88%

See 1 more Smart Citation

Social Media Adoption by Health Professionals: A TAM-Based Study

2021

View full text Add to dashboard Cite

This research identifies the underlying drivers impacting on healthcare professionals’ social media usage behaviours using the technology acceptance model (TAM) as the theoretical lens. A self-administered survey questionnaire was developed and administered to 219 healthcare professionals. Data are analysed applying the structural equation modelling (SEM) technique. The SEM model demonstrated an acceptable model fit (χ2 = 534.241; df, 239, χ2/df = 2.235, RMSEA = 0.06, IFI = 0.92, TLI = 0.93, and CFI = 0.92) and indicates content quality, perceived risk, perceived credibility, peer influence, confirmation of expectations, supporting conditions, and perceived cost significantly influence the notion of perceived social media usefulness. Furthermore, perceived social media usefulness positively affects social media usage behaviour of healthcare professionals. This research generates important insights into what drives the adoption of social media by healthcare professionals. These insights could help develop social media guidelines and strategies to improve the state of professional interactions between health professionals and their clients.

show abstract

Section: Discussionsupporting

confidence: 88%

“…There are six components of perceived risk and they are as follows: (i) financial, (ii) performance, (iii) social, (iv) physical, (v) privacy, and (vi) time loss [60]. Prior studies have consistently shown that perceived risk negatively influences users' intention to use IT/IS systems [61][62][63].…”

Section: Perceived Riskmentioning

confidence: 99%

Social Media Adoption by Health Professionals: A TAM-Based Study

2021

View full text Add to dashboard Cite

show abstract

“…Besides, Mohammadi (2015) found that the mobile banking system's PU and efficiency positively affect Iranian mobile banking users' attitudes. Previous studies have revealed that customers in the developing economy like Bangladesh seek convenience in their technological usages, and PU is a predominantly crucial predictor of user attitude and mcommerce adoption (Islam et als, 2011;Rahman and Sloan, 2017). In particular, in the era of the corona pandemic, where contactless payment is required for safety, MFS providers in Bangladesh have experienced a boost due to a greater degree of PU and positive attitude (Kabir, 2020).…”

Section: Hypothesis Developmentmentioning

confidence: 99%

Users' attitude and intention to use mobile financial services in Bangladesh: an empirical study

Himel

Ashraf

Bappy

et al. 2021

SAJM

View full text Add to dashboard Cite

PurposeWhile the usage of mobile financial services (MFSs) is increasing rapidly in developing countries, research on users' attitudes and behavioral intention to adopt MFS is limited. Thus, this study aims to investigate customers' attitudes and intentions to adopt MFS from a Bangladeshi perspective.Design/methodology/approachA mixed research design was employed to conduct this study. Data of 196 respondents were analyzed using partial least squares (PLS) path modeling. For the quantitative part, data collection was conducted using non-probability sampling through a structured survey questionnaire. A focus group discussion with ten MFS users from divergent backgrounds was conducted to validate the quantitative findings.FindingsThis paper integrated both the technology acceptance model (TAM) and innovation resistance theory (IRT) to validate the results. The authors found that perceived usefulness (PU), perceived ease of use (PEOU) and perceived trust (PT) positively contribute to customers' attitudes toward MFS adoption. Besides, barriers to acceptance had unfavorable effects on users' attitudes and usage intentions. Furthermore, a focus group discussion revealed valuable insights on the constructs used in this study.Practical implicationsThe study results have implications for both MFS providers and researchers. The outputs and recommendations presented in this paper will encourage the MFS practitioners to stimulate users' attitudes and behavioral intentions by ensuring useful, easy to use, credible and risk-free mobile payment platforms.Originality/valueThis is one of the very few studies in Bangladesh that have taken a contemporary and emerging research topic, providing theoretical, methodological and practical contributions regarding the determinants and consequences of attitude toward using MFSs.

show abstract

“…The high initial cost, which is associated with any new technology, product, or service, is often seen as a major obstacle towards their acceptance [54], [55]. A number of previous studies on innovative and new services ranging from mobile-commerce systems, e-training services, high-speed home-based broadband access to the acceptance of smartmeters have found a close relationship between cost and user perception [56]- [59]. Generally, the elderly people lead a retired life, and therefore have a limited source of income.…”

Section: E Service Cost (Sc) (Service-specific Characteristics)mentioning

confidence: 99%

Embracing the Smart-Home Revolution in Asia by the Elderly: An End-User Negative Perception Modeling

et al. 2019

View full text Add to dashboard Cite

There has been a rapid growth in the Internet of Things (IoT) enabled smart-homes recently. Although these IoT powered smart-homes offer new opportunities, their household penetration is quite low. The main objective of this paper is to develop a better understanding of the reasons underlying the end-user resistance to the adoption of the IoT enabled smart-homes, with elderly people as the target population. Due to a rapid increase in the worldwide elderly population, various forms of information and communication technology (ICT) services are used for their well-being, and hence the target of this paper. A very few research has focused on the end-user experience of using smart-homes with all of them using an acceptance-based approach. Using different negative-perception modeling, we try to identify the main barriers to smart-home usage by the elderly people. Accordingly, an online survey was conducted with 254 elderly people across four Asian countries. Partial least squares structural equation modeling (PLS-SEM) was used to test our theoretical model having ten constructs. Two constructs (perceived-uselessness and self-efficacy) were found to be non-significant, while the remaining proved to be significant (innovativeness, perceived-reliability, perceived-interoperability, service-cost, privacy-concern, psychological-barrier, home administrative policy, and government-policy). To the best of our knowledge, this is the first research studying the IoT enabled smart-homes using a resistive approach and should provide the groundwork for further research in userexperience studies with IoT technology.

show abstract

User adoption of mobile commerce in Bangladesh: Integrating perceived risk, perceived cost and personal awareness with TAM

Cited by 38 publications

References 28 publications

Social Media Adoption by Health Professionals: A TAM-Based Study

Social Media Adoption by Health Professionals: A TAM-Based Study

Users' attitude and intention to use mobile financial services in Bangladesh: an empirical study

Embracing the Smart-Home Revolution in Asia by the Elderly: An End-User Negative Perception Modeling

Contact Info

Product

Resources

About