Consumers’ acceptance and use of plastic money in Harare, Zimbabwe

2018 ◽  
Vol 36 (2) ◽  
pp. 379-392 ◽  
Author(s):  
Charles Makanyeza ◽  
Simolini Mutambayashata
Keyword(s):  
Developing Countries ◽  
Structural Equation ◽  
Behavioural Intention ◽  
Content Type ◽  
Performance Expectancy ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Selection Of

Purpose The purpose of this paper is to apply unified theory of acceptance and use of technology 2 to determine factors influencing acceptance and use of plastic money in Zimbabwe. Design/methodology/approach Using a cross-section of 528 consumers, respondents were randomly intercepted as they walked out of five major supermarkets in Harare, Zimbabwe. Random selection of consumers was done in order to ensure a representative sample. Consumers were asked to complete a structured questionnaire. Structural equation modelling was applied to test research hypotheses. Findings Results show that performance expectancy, effort expectancy, hedonic motivation and habit all positively influenced behavioural intention to adopt plastic money. Social influence, facilitating conditions and perceived financial cost all did not have a significant effect on behavioural intention to adopt plastic money. Behavioural intention positively influenced consumers’ use behaviour on plastic money. Research limitations/implications This study is among the pioneers of research in this field in Zimbabwe and other developing countries. Likewise, caution must be taken when researchers try to generalise findings from this study. It is, therefore, recommended that more studies of this nature be conducted in other developing countries in order to have a more solid understanding of consumers’ adoption of plastic money. Practical implications The study advises banks to pay particular attention to performance expectancy, effort expectancy, hedonic motivation and habit when devising strategies to increase the adoption of plastic money. Originality/value Factors that influence the adoption of plastic money are not widely researched under circumstances such as those existing in Zimbabwe. The Zimbabwean financial sector provides a unique environment to conduct studies of this nature.

Teenagers’ behavioural intention towards wearable technologies and intention to recommend others: an empirical study in Bangladesh

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Shahinur Rahman ◽  
Samir Das ◽  
Gazi Md. Shakhawat Hossain ◽  
Tajia Tajrin
Keyword(s):  
Structural Equation ◽  
Sustainable Use ◽  
Decision Makers ◽  
Behavioural Intention ◽  
Content Type ◽  
Wearable Technologies ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
Model Combining ◽  
Facilitating Conditions

Purpose The purpose of this study is to investigate the factors, which drive teenagers’ behavioural intention to adopt wearable technologies and their behavioural intention to recommend others. Design/methodology/approach This study proposes a new adoption model combining two different models including the extended unified theory of acceptance and use of technology and the theory of planned behaviour, which provided relevant contributions for understanding the adoption of wearable technologies. A structural equation modelling approach using analysis of a moment structures 23 software was used to analyse the data collected from 318 respondents. Findings Findings of this study reveals that performance expectancy (β = 0.28; t = 2.049), facilitating conditions (β = 0.28; t = 1.989), social influence (β = 0.23; t = 3.150) and attitude (β = 0.18; t = 3.246) have a statistically significant impact on behavioural intention. Additionally, behavioural intention (β = 0.15; t = 2.543) and attitude (β = 0.15; t = 3.261) have a statistically significant impact on intention to recommend others. However, effort expectancy, price value, hedonic motivation and habit did not have a significant influence on behavioural intention. Practical implications In this study, the understanding of the determinants contributing to teenagers’ behavioural intention to use wearable technologies and driving their intention to recommend others to adopt these devices will provide insights to practitioners and decision makers to customize the features of wearable devices to promote sustainable use of these technologies. Originality/value This study is among the first to investigate wearable technologies from behavioural perspectives especially on teenagers in Bangladesh. Hence, the findings of this study will help to comprehensively explain teenagers’ behavioural intention to adopt wearable technologies and their intention to recommend others.

Individuals' intention to use sports wearables: the moderating role of technophobia

2020 ◽  
Vol 21 (2) ◽  
pp. 225-245 ◽  
Author(s):  
Nilsah Cavdar Aksoy ◽  
Alev Kocak Alan ◽  
Ebru Tumer Kabadayi ◽  
Alican Aksoy
Keyword(s):  
Structural Equation ◽  
Digital Age ◽  
Equation Modeling ◽  
Content Type ◽  
Psychological Constructs ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
The Relationship

PurposeThis study aims to examine the wearable devices market as an essential representative of the digital age using a framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and the context of sports wearables.Design/methodology/approach411 people, are both users and non-users of this technology were surveyed online, and the obtained data analyzed using structural equation modeling.FindingsThe results support the effects of performance expectancy, effort expectancy, facilitating conditions, and social influence on attitude toward sports wearables and attitude of usage intention. Further, technophobia moderates the relationship between performance expectancy and attitude. However, a moderating effect of technophobia on the relationship between effort expectancy and attitude was not observed.Originality/valueDue to innovative technologies in the digital age we live in, the devices we use in everyday life have gained intelligence. As more developments take place, and related products enter the market, understanding how people react to these products becomes an important issue. While investigating this issue in the context of sports wearables in this study, an important psychological construct, technophobia, was included in the research model in order to explore the usage intention of individuals through the effects of psychological constructs, such as paranoia, fear, anxiety, cybernetic revolt and cellphone avoidance, and the strong combination of important constructs of phobia to go against technology.

Adoption of fitness wearables

2018 ◽  
Vol 20 (1) ◽  
pp. 103-127 ◽  
Author(s):  
Pável Reyes-Mercado
Keyword(s):  
Structural Equation ◽  
Qualitative Comparative Analysis ◽  
Equation Model ◽  
Intention To Use ◽  
Unified Theory ◽  
Content Type ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

Purpose This paper aims to analyse the adoption of fitness wearables by using the unified theory of acceptance and use of technology (UTAUT). The study analyses the relative weights and causal combinations of antecedent variables on use and intention to use fitness wearables. Design/methodology/approach The study design involves two stages: first, from the perspective of variable-oriented analysis, a structural equation model is tested using partial least squares (PLS) technique on a sample of 176 adopters and a second sample of 187 non-adopters. Second, from the perspective of case-oriented analysis, a fuzzy set qualitative comparative analysis (fsQCA) identifies causal combinations of variables that lead to use of wearables by adopters and intention to use by non-adopters. Findings PLS results show that performance expectancy and effort expectancy have high net effects on use and intention to use for adopters. FsQCA analysis shows that current users follow a streamlined path to adoption. High beliefs on performance expectancy and effort expectancy are the main influences of intention to use a fitness wearable for non-adopters. In contrast to adopters, non-adopters may follow a number of paths to intention to use through performance expectancy, effort expectancy or facilitating conditions. This insight was apparent only after analysing the data sets by using fsQCA. Research limitations/implications For sake of parsimony, this paper tested UTAUT model instead of the more complex unified theory of acceptance and use of technology 2. Practical implications Marketers in the fitness category can enhance use and intention to use by utilising not one but a combination of causal factors such as performance expectancy, effort expectancy and facilitating conditions. Wide societal deployment of wearables depends on performance and expectations. Social implications The widespread use of mobile devices depends on performance expectancy and effort expectancy. To transit to a real knowledge economy, co-creation should occur at early stages of product development so that these expectations are shared and better products be developed. Originality/value This paper offers a nuanced understanding of fitness wearable adoption by analysing adopters and non-adopters through variable- and case-oriented techniques. It complements the one-linear-path perspective with a number of alternative causal combinations of variables that lead to use and intention to use fitness wearables. While the causal path for adopters is unique, there are a number of causal combinations of antecedents that lead to high intention to use in potential adopters.

Predictors of behavioral intention to adopt e-AgriFinance app among the farmers in Sarawak, Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Quistina Omar ◽  
Ching Seng Yap ◽  
Poh Ling Ho ◽  
William Keling
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Agricultural Finance ◽  
Content Type ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Practical Implications

PurposeThis study examines the predictors of behavioral intention of farmers to adopt a mobile agricultural finance application called e-AgriFinance using the Unified Theory of Acceptance and Use of Technology (UTAUT) and perceived cost as an additional predictor.Design/methodology/approachUsing a questionnaire survey, data are collected from 337 farmers in Sarawak, Malaysia. The collected data are analyzed using partial least squares structural equation modelling (PLS-SEM).FindingsThe research finds that performance expectancy, effort expectancy, social influence and facilitating conditions are positively related to behavioral intention to adopt the e-AgriFinance app, with social influence being the strongest predictor. Perceived cost is also found to be positively related to behavioral intention which contradicts the prediction of the model.Research limitations/implicationsThis study contributes to the use of UTAUT in predicting the adoption of mobile agricultural finance applications among farmers.Practical implicationsFor practice, this study provides implications for the Sarawak government to promote digital and financial inclusivity for all communities. This study also provides insights into important features of the e-AgriFinance app for digital finance providers to develop the apps that will be well accepted by farmers in the future.Originality/valueThis research is one of the few studies that focused on farmers' mobile technology adoption in agribusiness from the perspective of an emerging economy.

Modeling the Factors that Influence Ghanaian Entrepreneurs to Adopt e-Commerce

2021 ◽  
Vol 18 (06) ◽  
Author(s):  
Frederick Pobee
Keyword(s):  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Unified Theory ◽  
Cross Sectional ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study investigated the factors that influence Ghanaian entrepreneurs to adopt e-commerce. Cross-sectional data was gathered from 520 entrepreneurs in the most populous and industrious regions in Ghana. The unified theory of acceptance and use of technology (UTAUT) was employed to effectively understand the unexplored phenomenon of e-commerce adoption among Ghanaian entrepreneurs. Partial Least Square-Structural Equation Modeling (PLS-SEM) was used to test the hypothesized relationships. The findings indicate that performance expectancy, effort expectancy, and social influence (SI) positively and significantly influenced the behavioral intention (BI) to adopt e-commerce. Facilitating conditions (FC) and BI had a significant positive relationship with the adoption of e-commerce.

The Moderating Effects of Gender on E-Commerce Systems Adoption Factors

2018 ◽  
Vol 9 (4) ◽  
pp. 86-104
Author(s):  
Frederick Pobee ◽  
Daniel Opoku
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Performance Expectancy ◽  
Adoption Factors ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Actual Use ◽  
Facilitating Conditions

The purpose of this article was to investigate the moderating effects of gender on e-commerce systems adoption factors among university lecturers in Ghana. In order to achieve this purpose, the unified theory of acceptance and use of technology (UTAUT) was used as the theoretical lens for the study. Eight hypotheses were developed and tested. Data analysis was performed with a structural equation modeling (SEM) technique using SmartPLS Application. Using a survey of 223 respondents, the study showed that factors such as performance expectancy, effort expectancy, and facilitating conditions positively and significantly influenced Ghanaian lecturers' behavioral intention and ultimately the actual use of e-commerce systems. As for the moderating effects of gender, this study discovered that gender insignificantly moderated the effects of performance expectancy, effort expectancy and social influence on behavioral intention.

scholarly journals Toward an Understanding of University Students’ Continued Intention to Use MOOCs: When UTAUT Model Meets TTF Model

SAGE Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 215824402094185
Author(s):  
Liyong Wan ◽  
Shoumei Xie ◽  
Ai Shu
Keyword(s):  
University Students ◽  
User Satisfaction ◽  
Structural Equation ◽  
Equation Modeling ◽  
Utaut Model ◽  
Mediating Role ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task–technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students’ continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464 respondents, structural equation modeling is adopted to assess the model. The results reveal that performance expectancy, effort expectancy, social influence, and user satisfaction are the crucial predictors of university students’ continued intention. TTF has an indirect influence on continued intention through user satisfaction. Performance expectancy is affected both by effort expectancy and TTF. Facilitating conditions do not directly influence continued intention; however, they present indirect influences in that they play a mediating role for user satisfaction. The findings help researchers and practitioners to attain a better understanding of university students’ continued usage intention of MOOCs. The implications and limitations of this study are also described.

scholarly journals Analysis of the Acceptance Factor of Android-Based Parking Information Systems in Indonesia

2020 ◽  
Vol 22 (2) ◽  
pp. 97-106
Author(s):  
Romi Ilham ◽  
Nanang Shonhadji ◽  
Hariadi Yutanto ◽  
Diah Ekaningtyas
Keyword(s):  
Structural Equation ◽  
Structural Equation Models ◽  
Behavioural Intention ◽  
Performance Expectations ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Smartphone Technology ◽  
The Government ◽  
Facilitating Conditions ◽  
The Way

Parking is an unrelenting problem, with more vehicles having an impact on the way how to park a vehicle. Some experts have made various breakthroughs in overcoming parking problems; one of them is using smartphone technology as a system to facilitate the way to park. This study aims to analyse user acceptance using the Unified Theory of Acceptance and Use of Technology UTAUT method with structural equation models (SEM-PLS), against 221 respondents. The result is that performance expectations, effort expectancy, and social influence variables have a significant effect on behavioural intention. Then the facilitating conditions variable and behavioural intention significantly influence the use of behaviour for using smartphone parking systems. Furthermore, this research is expected to help the government to find out what factors affect the parking system.

The Moderating Effects of Gender on E-Commerce Systems Adoption Factors

2021 ◽  
pp. 319-340
Author(s):  
Frederick Pobee ◽  
Daniel Opoku
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Performance Expectancy ◽  
Adoption Factors ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Actual Use ◽  
Facilitating Conditions

The purpose of this article was to investigate the moderating effects of gender on e-commerce systems adoption factors among university lecturers in Ghana. In order to achieve this purpose, the unified theory of acceptance and use of technology (UTAUT) was used as the theoretical lens for the study. Eight hypotheses were developed and tested. Data analysis was performed with a structural equation modeling (SEM) technique using SmartPLS Application. Using a survey of 223 respondents, the study showed that factors such as performance expectancy, effort expectancy, and facilitating conditions positively and significantly influenced Ghanaian lecturers' behavioral intention and ultimately the actual use of e-commerce systems. As for the moderating effects of gender, this study discovered that gender insignificantly moderated the effects of performance expectancy, effort expectancy and social influence on behavioral intention.

Integrating UTAUT and UGT to explain behavioural intention to use M-learning

2018 ◽  
Vol 20 (3) ◽  
pp. 278-297 ◽  
Author(s):  
Nattaporn Thongsri ◽  
Liang Shen ◽  
Yukun Bao ◽  
Ibraheem Mubarak Alharbi
Keyword(s):  
Developing Countries ◽  
Mobile Learning ◽  
Structural Equation ◽  
Quantitative Research ◽  
Intention To Use ◽  
Content Type ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Statistical Analysis Technique ◽  
Effective Development

Purpose The purpose of this study was to investigate factors that influence the intention to use mobile learning (m-learning) by learners in developing countries such as Thailand. This study integrated two theories; namely, the unified theory of acceptance and use of technology (UTAUT), which focuses on technology, and uses and gratifications theory (UGT), which involves studying learners’ motivation. Design/methodology/approach Applying a quantitative research method, this study conducted a survey of 359 undergraduates. The partial least squares methods and a statistical analysis technique based on the structural equation modelling (SEM), were used to analyse the data. Findings The results revealed that the performance expectancy, cognitive need, affective need and social need had significant effect on intention to use m-learning. Furthermore, this study found a significant effect of the cognitive need on the performance expectancy and social need on effort expectancy. Practical implications This research model has provided guidelines for the effective development of educational applications for use on mobile devices. The findings can be applied as guidelines for public organizations to develop educational strategies to further encourage the development of online learning. Originality/value This research closed a gap of understanding from previous studies by integrating UTAUT and UGT. The method derived from the theoretically integrated model could be applied to study the intentions for the implementation the mobile learning application from the context of developing countries such as Thailand.

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