Understanding the mobile payment technology acceptance based on valence theory

Ozturk, Ahmet Bulent; Bilgihan, Anil; Salehi-Esfahani, Saba; Hua, Nan

doi:10.1108/ijchm-04-2016-0192

Cited by 110 publications

(110 citation statements)

References 80 publications

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“…The present study concludes these three dimensions into innovation valance and examines the role of innovation valance in employee intention to adopt information technology in the organizational context. Previous literature established that innovation valance had a significant influence on user intention to adopt the technology (Armenakis et al, 2007;Lokuge et al, 2018;Ozturk, et al, 2017;Sarker, Valacich, & Sarker, 2005). Hence, the following hypothesis is derived: H11: Innovative valance has a positive effect on employee intention to adopt the technology.…”

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confidence: 94%

The Impact of Task Technology Fit on Employee Job Performance

Bader

Yamin

2019

MMI

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In today’s dynamic global business economy, the use of information technology has become an essential and pervasive technique for organizational success. In this essence, the present study extends the unified theory of acceptance and use of technology with task technology fit to see how underpinned factors impact on employee intention to adopt information technology and enhance employee job performance. In order to test the proposed research model, the respondent’s observations are required. Therefore, an administrative survey was conducted towards Saudi public organizations. A survey questionnaire was distributed among middle-level managers working in HR departments of Saudi Public organizations. In response to administrative survey 398 questionnaires were returned with a response rate of 79.6%. Among 398 questionnaires 38 were discarded due to inappropriate answers and 358 questionnaires were finally used for structural equation modelling. The inclusion criterion was that HR managers must have knowledge about online services offering by respective organizations to employees. For data analysis, structural equation modelling approach was used. Results indicate that the extended the unified theory of acceptance and use of technology model has substantial power and explained 77.0% variance in employee intention to adopt the technology. The effect size analysis showed that within extended model effort expectancy was the most important factor. The predictive relevance of the model was also adequate. Finally, importance of performance matrix analysis suggested that managers and policymakers should focus on effort expectancy, task characteristics, technology characteristics and supervisor support to boost employee intention to adopt technology and employee job performance. Keywords: employee job performance, innovation valance, intention to adopt technology, moderating analysis, structural equation modelling, supervisory support.

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confidence: 94%

The Impact of Task Technology Fit on Employee Job Performance

Bader

Yamin

2019

MMI

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“…), they ignored other influencing factors (e.g., environment factors and personal factors) to adopt user mobile payment services. In the wake of this, this study develops an integrated model to identify the various factors (facilitating factors, inhibiting factors environmental factors, and personal factors) that have been found in the previous literature [12][13][14] in the context of mobile payment adoption, and then this research adds three factors (perceived transaction convenience, affinity, and government support) to try to investigate the antecedents of adoption intention of mobile payments in China.…”

Section: Introductionmentioning

confidence: 99%

“…Perceived risk is defined as the "uncertain or possible negative consequences felt when using products or services" [30] and is considered as the main obstacle to e-commerce [31] and mobile payment adoption intention [12,14,32,33]. It can be seen that perceived risk inhibits users' adoption of mobile payment services; therefore, this study regards perceived risk as an inhibiting factor in the research framework.…”

Section: Introductionmentioning

confidence: 99%

Drivers of Mobile Payment Acceptance in China: An Empirical Investigation

Chen

2019

Information

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With the rapid development of mobile technologies in contemporary society, China has seen increased usage of the Internet and mobile devices. Thus, mobile payment is constantly being innovated and is highly valued in China. Although there have been many reports on the consumer adoption of mobile payments, there are few studies providing guidelines on examining mobile payment adoption in China. This study intends to explore the impact of the facilitating factors (perceived transaction convenience, compatibility, relative advantage, social influence), environmental factors (government support, additional value), inhibiting factors (perceived risk), and personal factors (absorptive capacity, affinity, personal innovation in IT (PIIT)) on adoption intention in China. A research model that reflects the characteristics of mobile payment services was developed and empirically tested by using structural equation modeling (SEM) on datasets consisting of 257 users through an online survey questionnaire in China. Our findings show that perceived transaction convenience, compatibility, relative advantage, government support, additional value, absorptive capacity, affinity, and PIIT all have a positive impact on adoption intention, while social influence has no significant impact on adoption intention, and perceived risk has a negative impact on adoption intention. In addition, the top three factors that influence adoption intentions are absorptive capacity, perceived transaction convenience, and additional value.

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“…Compared to objective indicators, beliefs play a rather direct role in the decision of adoption [14]. Renowned adoption theories (e.g., the theory of reasoned action, the theory of planned behavior, value belief and norm theory, and technology acceptance model) focus on human behavior components and are widely used in literature for a diverse range of technologies, including renewable energies [19,[25][26][27][28][29][30][31][32]. These theories highlight the behavioral factors' subjective beliefs and norms, perceived usefulness, perceived ease to use, attitude, and intentions as important for making decisions to adopt technologies.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Pre- and Post-Adoption Beliefs about the Diffusion and Continuation of Biogas-Based Cooking Fuel Technology in Pakistan

Yasmin

Grundmann

2019

Energies

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A high level of acceptance and adoption is necessary to facilitate the widespread utilization of renewable energy technologies for cooking, as such utilization is essential for displacing the population’s massive dependence on fossil fuels and solid biomass. Economic and demographic aspects have been the focus of recent literature in exploring the adoption phenomenon of biogas technology. However, literature to date has given little attention to the behavioral factors and the perceptions of the end-users. Our study does not only include behavioral factors, but it employs a hybrid model to explore the continued attentions of users based on their post-adoption beliefs and performance expectations. Using a survey conducted in Pakistan in 2017, the study conducts a multivariate analysis through structural equation modeling to measure the effect of pre- and post-adoption beliefs and expectation on adoption and the continuing intention of households towards biogas technology. Results show that the acceptance of the households towards biogas technology is highly influenced by their perceptions on the benefits, as well as their trust in the technology. The perceived cost and risk attached to the technology are found to be negatively correlated with the acceptance. Households’ intentions to continue the use of biogas technology is highly influenced by the satisfaction level of the users of biogas technology. With the integrated model of adoption and continuation, the study illustrates the dynamic process in obtaining a deeper understanding of a user’s behavior to better formulate the policies for increasing the rate of technology adoption.

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Understanding the mobile payment technology acceptance based on valence theory

Cited by 110 publications

References 80 publications

The Impact of Task Technology Fit on Employee Job Performance

The Impact of Task Technology Fit on Employee Job Performance

Drivers of Mobile Payment Acceptance in China: An Empirical Investigation

Pre- and Post-Adoption Beliefs about the Diffusion and Continuation of Biogas-Based Cooking Fuel Technology in Pakistan

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