Determinants of m-payment adoption behaviour in Bangladesh

Gani, Mohammad Osman; Alam, Muhammad Intisar; Alam, Mohammad Zahedul; Chowdhury, Shahin Ahmed; Ahmed, Rafiuddin

doi:10.1504/ijbis.2022.124924

Cited by 2 publications

(5 citation statements)

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“…The intention to use may be interpreted as the user's willingness to use the system, and researchers in the technology acceptance field are the most supportive of the premise that behavioural intention to use is a precursor to actual system usage (Priya et al, 2018). It is a predictor of whether an individual would engage in a particular activity, and it may be used to detect the direct component of actual usage of a given technology (Gani et al, 2022a). Many factors can influence intention in the research on health-related behaviors.…”

Section: Intention To Usementioning

confidence: 99%

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Examining behavioural intention of using smart health care technology among females: dynamics of social influence and perceived usefulness

Gani

Rahman

Bag

et al. 2023

BIJ

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PurposeThe aim of this study is to comprehend the behavioural intention of females' perception toward smart healthcare technology. The study also examines the moderation effect of social influences between perceived smart healthcare technology and perceived usefulness among female users.Design/methodology/approachTo test the model, this study collected data from female respondents (n = 913) responses. The data were analyzed by structural equation modeling (SEM) using Smart-PLS 3.2. To complement the findings from structural equation modeling, the study also conducted a post-hoc test via experimental research design. The authors also applied a t-test and PROCESS macro analysis to re-confirm the relationship mentioned above.FindingsThe findings revealed that perceived ease of use significantly mediates the relationship between females' perceived smart healthcare technology and intention to use. The findings also show that social influence moderates between smart healthcare technology and the perceived usefulness relationship.Research limitations/implicationsSocial influence is one of the major issues while adopting smart healthcare technology because the respondents perceived that they are accustomed to the technologies related to smart health once their surroundings and social environment influence them.Originality/valueThe current study is a pioneer in the context of a developing country and unique in that it makes two contributions: it extends previous research on smart health technology adoption in the healthcare business by considering females, and it gives a broad knowledge of the female healthcare consumers from emerging nations which can be useful for developing technology-driven healthcare services strategies.

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Section: Intention To Usementioning

confidence: 99%

“…, 2018). It is a predictor of whether an individual would engage in a particular activity, and it may be used to detect the direct component of actual usage of a given technology (Gani et al. , 2022a).…”

Section: Theoretical Underpinningmentioning

confidence: 99%

Examining behavioural intention of using smart health care technology among females: dynamics of social influence and perceived usefulness

Gani

Rahman

Bag

et al. 2023

BIJ

Self Cite

View full text Add to dashboard Cite

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“…Behavioral intention is defined as the degree to which an individual perceives their willingness to use the service (Gani, Alam, et al, 2022). It is used to predict the actual usage eCourier services behavior of a service.…”

Section: Behavioral Intention and Actual Usagementioning

confidence: 99%

“…The term “behavioral intention” refers to the willingness or desire on the part of service users to use the service (Gani, Alam, Alam, Chowdhury, & Ahmed, 2022). The term “behavioral intention” has been used with a variety of interpretations.…”

Section: Theoretical Underpinning and Hypotheses Developmentmentioning

confidence: 99%

“…However, what are the factors that lead to the intention of adopting eCourier has not received much attention. Prior researchers of technology adoption have given attention to performance expectancy (PE) (Gani, Alam, Alam, Chowdhury, & Ahmed, 2022) and social influence (SI) (Gani, Rahman, Bag, & Mia, 2023). Contemporary to that in digital transformation of transportation adoption research, this study would like to offer three additional variables in Unified Theory of Acceptance and Use of Technology (UTAUT) model.…”

Section: Introductionmentioning

confidence: 99%

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Determinants of adopting eCourier services: the moderating role of resistance to change

Gani,

Bhuiya,

Swarna

et al. 2023

DTS

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PurposeThe purpose of this paper is to understand the determinants affecting the adoption behavior of eCourier services and to establish a moderating role of resistance to change between behavioral intention and actual usage behavior.Design/methodology/approach Data were collected through a survey questionnaire that was distributed to the eCourier users. A total of 260 collected data were analyzed by using structural equation modeling.Findings The results of the study demonstrate that all the factors considered for the study have a significant impact on the adoption of eCourier except social influence and customer service. The results also confirm that there is no moderating effect of resistance to change in the relationship between behavioral intention and actual usage.Practical implications This research provides theoretical contribution by extending the practical knowledge focusing on the adoption intention of eCourier, and actual usage behavior using Unified Theory of Acceptance and Use of Technology model—a pertinent and unresearched topic in the existing literature that presents a number of potential avenues for further study.Originality/valueThis study provides a general understanding of consumers in underdeveloped nations and advances earlier research on the usage of e-commerce in the courier sector.

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Determinants of m-payment adoption behaviour in Bangladesh

Cited by 2 publications

References 0 publications

Examining behavioural intention of using smart health care technology among females: dynamics of social influence and perceived usefulness

Examining behavioural intention of using smart health care technology among females: dynamics of social influence and perceived usefulness

Determinants of adopting eCourier services: the moderating role of resistance to change

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