Mobile stock trading (MST) and its social impact: A case study in Hong Kong

Sam, K. M.; Chatwin, Chris; C, I

doi:10.1109/ieem.2013.6962449

Cited by 3 publications

(8 citation statements)

References 8 publications

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“…Performance expectancy shows a significant relationship between behavioral intention (β 5 0.221, ρ < 0.001) thus, the finding is coherent with the results of Sam et al (2014) and Sung et al (2015). It was observed from the findings that effort expectancy has significant relationship to behavioral intention (β 5 0.25, ρ < 0.001) and thus supporting the results by Paulo-Saumell et al (2019) and Tai and Ku (2013).…”

Section: Discussionsupporting

confidence: 88%

“…Performance expectancy shows a significant relationship between behavioral intention ( β = 0.221, ρ < 0.001) thus, the finding is coherent with the results of Sam et al. (2014) and Sung et al.…”

Section: Discussionsupporting

confidence: 86%

“…This argument was adopted from technology adoption model whose main aim was to investigate users' attitude towards adopting a particular IT (Sam et al, 2014). This attitude can be favorable or unfavorable for a particular IT system and is determined by positive or negative impact of behavior of the users' behavioral intention (Ajzen and Fishbein, 2000;Sam et al, 2014;Sung et al, 2015). Similar findings were explored in studies related to mobile app adoption (Lau, 2002;Sam et al, 2014).…”

Section: Behavioral Intentions To Adopt Mobile Appsmentioning

confidence: 99%

“…Behavioral intention of an investor is the behavior on adapting to a particular method. This argument was adopted from technology adoption model whose main aim was to investigate users' attitude towards adopting a particular IT (Sam et al, 2014). This attitude can be favorable or unfavorable for a particular IT system and is determined by positive or negative impact of behavior of the users' behavioral intention (Ajzen and Fishbein, 2000;Sam et al, 2014;Sung et al, 2015).…”

Section: Behavioral Intentions To Adopt Mobile Appsmentioning

confidence: 99%

See 3 more Smart Citations

Determinants of mobile apps adoption by retail investors for online trading in emerging financial markets

Nair

Shiva

Yadav

et al. 2022

BIJ

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PurposeThe purpose of this study is to investigate the influence of mobile applications on investment decisions by retail investors in stocks and mutual funds. This study focuses on how mobile technologies are applied on mobile apps by retail investors for e-trading in emerging financial markets.Design/methodology/approachThe study explored predictive relevance for the adoption behavior of retail investors under the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Further, goal contagion theory was applied to investigate the adoption behavior of investors towards e-trading. An adapted questionnaire was used to collect the date from April to June 2021 and data analysis was performed on 507 usable responses. The methodology adopted in this study is variance based partial least square structural equational modelling (PLS-SEM). Additionally, the study explains important and performing constructs based on the response of retail investors towards mobile app usage for investment decisions.FindingsThe study shows that effort expectancy, performance expectancy followed by perceived return were the primary determinants of behavioral intentions to use mobile applications by retail investors for e-trading. Further, habit of investors determined the adoption behavior of investors towards mobile apps. Additionally, the study revealed that perceived risk is not an important aspect for retail investors in comparison to perceived return.Research limitations/implicationsThe study in future can address to the aspect of personality traits of retail investors for technology adoption for investment decisions. Further investigation is required on addressing unobserved heterogeneity of retail investors towards technology adoption process in emerging financial markets.Practical implicationsThe study provides theoretical and practical implications for retail investors, financial advisors and technology companies to understand the behavioral pattern and mobile apps adoption behavior of retail investors in emerging financial market. The findings in the study will help broking firms to sensitize their clients for effective use of their respective mobile apps for e-trading purposes. The study will strengthen the knowledge of financial advisors to understand investment behavior of retail investors in emerging financial markets.Originality/valueThis study unfolds a novel framework of research to understand the technology adoption pattern of retail investors for e-trading by mobile applications in emerging financial markets. The present study provides significant understanding in the domain of technology adoption by retail investors under behavioral finance environment.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionsupporting

confidence: 86%

Section: Behavioral Intentions To Adopt Mobile Appsmentioning

confidence: 99%

Section: Behavioral Intentions To Adopt Mobile Appsmentioning

confidence: 99%

See 2 more Smart Citations

Determinants of mobile apps adoption by retail investors for online trading in emerging financial markets

Nair

Shiva

Yadav

et al. 2022

BIJ

View full text Add to dashboard Cite

show abstract

“…Bireyler telefonlarını çoğunlukla her an yanlarında bulundurduğundan, bireylerin çevresindeki kişileri gözlemleme olasılığı artmaktadır (Sam, Chatwin, ve Ma, 2014). Bir yeniliği kullanmanın olumlu sonuçları görüldüğünde, yeniliğin kullanılması daha olasıdır.…”

Section: Gözlenebilirlikunclassified

Investigation of Intention to Use Mobile Application in Turkey by Integrating Diffision of Innovations and Extended Teknology Acceptance Model

Karabiyik

Çetın

2021

Erciyes Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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Mobile technologies, which are one of the main determinants of social and economic changes in the world, develop rapidly. Mobile applications, one of the most important indicators of mobile technologies, are defined as programs that support the realization of daily transactions and take place on mobile devices. In order for a mobile application to be considered successful, individuals must have adopted mobile applications and frequently use applications as well as installing mobile applications. The aim of this study is to understand, interpret and analyze the behaviors of consumers to decide to use a specific application in application markets of mobile phones. In this context, direct and indirect factors that enable consumers to decide on the use of an application have been investigated by integrating the Diffision of Innovations (DOI) and Extended Technology Acceptance Model (Extended TAM) theories, which are among the most effective theories in the literature. Questionnaire method was used as a data collection tool in the study. According to the results of this study conducted with 396 people, it was found that image and observability directly, significantly and positively affect the intention to adopt mobile applications, while perceived ease of use and perceived usefulness did not significantly affect the intention to adopt mobile applications. It is known that young people attach importance to features such as image, fame, and being known. These results are are seemed quite significant for Turkey which has young population and where mostly young people use mobile applications.

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Determinants of investment-related FinTech services among retail investors of India: a multi-group analysis using PLS-SEM

Jha,

Dangwal

2024

JM2

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Purpose The purpose of this study is to investigate the factors affecting behaviour intention (BI) to use and actual usages of investment-related FinTech services among the zoomers (Gen Z) and millennials (Gen M) retail investors of India. Design/methodology/approach The study explores the predictive relevance of actual adoption behaviour among the two different age categories of Indian retail investors. It uses the Unified Theory of Acceptance and Use of Technology-2 and the prospect theory framework as guiding frameworks. Data has been collected from 294 retail investors, actively engaged in the investment-related FinTech services. The multi-group analysis using variance-based partial least square structured equation modelling has been used to compare the two groups. The invariance between the two groups was achieved through measurement invariance assessment. Findings The study reveals distinct factors significantly affecting BI to use investment-related FinTech services among Gen Z and Gen M retail investors are performance expectancy (PE) to BI, perceived risk (PR) to BI, price value (PV) to BI and PR to service trust (ST). Research limitations/implications This study provides insights for financial providers and policymakers, emphasizing different factors influencing BI to use investment-related FinTech services in both age groups. Notably, habit emerges as a common factor influencing the actual usage of investment-related FinTech services across Gen M and Gen Z retail investors in India. Originality/value This study explores the heterogeneous behaviour of the heterogenous population in the domain of technological adoption of investment-related FinTech services in India.

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Mobile stock trading (MST) and its social impact: A case study in Hong Kong

Cited by 3 publications

References 8 publications

Determinants of mobile apps adoption by retail investors for online trading in emerging financial markets

Determinants of mobile apps adoption by retail investors for online trading in emerging financial markets

Investigation of Intention to Use Mobile Application in Turkey by Integrating Diffision of Innovations and Extended Teknology Acceptance Model

Determinants of investment-related FinTech services among retail investors of India: a multi-group analysis using PLS-SEM

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