scholarly journals Assessing the Effect of Drivers’ Gender on Their Intention to Use Fully Automated Vehicles

2021 ◽  
Vol 12 (1) ◽  
pp. 103
Author(s):  
Sergio A. Useche ◽  
María Peñaranda-Ortega ◽  
Adela Gonzalez-Marin ◽  
Francisco J. Llamazares
Keyword(s):  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Automated Vehicles ◽  
Cross Sectional ◽  
Related Data ◽  
Attitudinal Factors ◽  
Multivariate Relationships ◽  
Robust Tests ◽  
Gender Based

Although fully automated vehicles (SAE level 5) are expected to acquire a major relevance for transportation dynamics by the next few years, the number of studies addressing their perceived benefits from the perspective of human factors remains substantially limited. This study aimed, firstly, to assess the relationships among drivers’ demographic factors, their assessment of five key features of automated vehicles (i.e., increased connectivity, reduced driving demands, fuel and trip-related efficiency, and safety improvements), and their intention to use them, and secondly, to test the predictive role of the feature’ valuations over usage intention, focusing on gender as a key differentiating factor. For this cross-sectional research, the data gathered from a sample of 856 licensed drivers (49.4% females, 50.6% males; M = 40.05 years), responding to an electronic survey, was analyzed. Demographic, driving-related data, and attitudinal factors were comparatively analyzed through robust tests and a bias-corrected Multi-Group Structural Equation Modeling (MGSEM) approach. Findings from this work suggest that drivers’ assessment of these AV features keep a significant set of multivariate relationships to their usage intention in the future. Additionally, and even though there are some few structural similarities, drivers’ intention to use an AV can be differentially explained according to their gender. So far, this research constitutes a first approximation to the intention of using AVs from a MGSEM gender-based approach, being these results of potential interest for researchers and practitioners from different fields, including automotive design, transport planning and road safety.

scholarly journals Efeito da gamificação na intenção de uso de treinamentos on-line: uma adaptação do modelo UTAUT aplicado no TRT-2

2019 ◽  
Vol 12 (3) ◽  
pp. 472
Author(s):  
Ludmilla Cavarzere de Oliveira ◽  
Luis Hernan Contreras Pinochet ◽  
Ricardo Luiz Pereira Bueno ◽  
Mauri Aparecido de Oliveira
Keyword(s):  
Structural Equation ◽  
Statistical Significance ◽  
Learning By Doing ◽  
Equation Modeling ◽  
Intention To Use ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Regional Labor ◽  
On Line ◽  
Facilitating Conditions

The objective of this research was to analyze the effect of gamification on intention to use online training from the partial validation of the UTAUT model for qualification of members and servers of the Regional Labor Court of the 2nd Region (TRT-2). The study analyzed the relationship between constructs performance expectancy, effort expectancy, facilitating conditions, and familiarity with the intention to use gaming in distance media.  This was conducted through an empirical application, which used the Structural Equation Modeling (SEM) for data analysis. The research was a single cross-sectional survey, carried out with TRT-2 members and servers who participated in the distance-feeding course ‘Healthy Living’ in 2015. Of the four hypotheses, only familiarity (F) was not significant as it did not serve as a behavioral intentions (BI) predictor of gamification for distance learning courses. Some explanations for such phenomenon may be career promotion and additional qualifications, learning by doing and sample size. The results confirmed that most hypotheses have a high statistical significance of the structural paths and have demonstrated that the model proposed in this study is consistent and can be applied in future studies with appropriate adjustments.

scholarly journals Factors affecting the acceptance of blended learning in medical education: application of UTAUT2 model

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Seyyed Mohsen Azizi ◽  
Nasrin Roozbahani ◽  
Alireza Khatony
Keyword(s):  
Medical Education ◽  
Blended Learning ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Validity And Reliability ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Behavioral Intention To Use

Abstract Background Blended learning is a new approach to improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that might affect students’ intention to use blended learning. Methods In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Venkatesh et al. (2012) proposed UTAUT2 as a framework to explain a person’s behavior while using technology. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypotheses. Results The validity and reliability of the model constructs were acceptable. Performance Expectance (PE), Effort Expectance (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV) and Habit (HT) had a significant effect on the students’ behavioral intention to use blended learning. Additionally, behavioral intention to use blended learning had a significant effect on the students’ actual use of blended learning (β = 0.645, P ≤ 0.01). Conclusion The study revealed that the proposed framework based on the UTAUT2 had good potential to identify the factors influencing the students’ behavioral intention to use blended learning. Universities can use the results of this study to design and implement successful blended learning courses in medical education.

Increasing consumers’ intention to use location-based advertising

2018 ◽  
Vol 27 (6) ◽  
pp. 661-669 ◽  
Author(s):  
Michael Schade ◽  
Rico Piehler ◽  
Claudius Warwitz ◽  
Christoph Burmann
Keyword(s):  
Self Efficacy ◽  
Structural Equation ◽  
Sociodemographic Factors ◽  
Equation Modeling ◽  
Intention To Use ◽  
Brand Trust ◽  
Cross Sectional ◽  
Content Type ◽  
Privacy Concerns ◽  
Privacy Calculus

Purpose This study aims to investigate the influence of advertising value and privacy concerns on consumers’ intention to use location-based advertising. It also explores if brand trust toward location-based advertising providers and consumers’ privacy self-efficacy reduce privacy concerns. Design/methodology/approach Based on the privacy calculus and expectancy theory, a conceptual model is developed and empirically tested through structural equation modeling using cross-sectional data of 1,121 actual smartphone users from Germany. Findings Advertising value positively and privacy concerns negatively affect consumers’ intention to use location-based advertising. As expected, brand trust and consumers’ privacy self-efficacy can reduce consumers’ privacy concerns. Research limitations/implications Further research should test and validate the proposed framework in other cultures to gain insights into the culturally specific relevance of privacy concerns and their antecedents. The current study includes sociodemographics as potential moderators; additional studies could investigate other potential moderators (e.g. personality, values). Practical implications To reduce consumers’ privacy concerns, location-based advertising providers should make their offers transparent and give consumers control, to increase their privacy self-efficacy. They also should work to strengthen their brand, monitor brand trust trends and avoid any trust-damaging behavior. Originality/value This study introduces brand trust toward location-based advertising providers and privacy self-efficacy as factors to reduce consumers’ privacy concerns. It also encompasses a broader, general sample of consumers, which increases the generalizability and practical relevance of the results and supports an initial investigation of sociodemographic factors as potential moderators in this context.

To continue or not to continue: a structural analysis of antecedents of mobile payment systems in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Prashant Raman ◽  
Kumar Aashish
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Intention To Use ◽  
Payment Systems ◽  
Continuance Intention ◽  
Cross Sectional ◽  
Content Type ◽  
Payment Services

PurposeConsumers in India are increasingly using mobile payment systems (MPSs) to make online and offline payments. Digital payment applications are gradually being used as surrogates for cash, checks and plastic money. The motive behind this research is to analyze the different antecedents that impact the users' willingness to continue using the MPS in India.Design/methodology/approachAn extensive study of the literature review supports the creation of a framework that describes the continuance intention of using MPS. Data from a survey of 612 respondents from India were collected to assess the research model. The study used partial least squares (PLS)–structural equation modeling (SEM) technique to empirically validate the framework developed.FindingsThe outcomes of the research suggest that service quality, attitude, effort expectancy and perceived risk act as influencing antecedents of continuance intention to use MPS. Determinants like perceived trust, convenience and social value have no influence on users' continuance intention. SEM analysis has verified the proposed model, which explains 50.7% of the variance of the users' continuance intention of using MPSs.Research limitations/implicationsThe research is built upon cross-sectional data carried out in India. Hence, the outcomes of the study are limited to this region only.Practical implicationsEngaging with the consumers for a long time and enabling their continuance usage are extremely important for firms offering mobile payment services. The managerial implications provide insights into the different ways to capture new business opportunities to the firms rendering mobile payment services in the wake of changing consumer behavior.Originality/valueThis research tries to analyze users' continuance intention to use MPS in India. Although many research studies have investigated the willingness of the individuals to adopt novel technology in different frameworks, there are hardly any empirical studies carried out to analyze the antecedents of users' continuance intention to use MPSs.

scholarly journals Making finance fun: the gamification of personal financial management apps

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Paula Bitrián ◽  
Isabel Buil ◽  
Sara Catalán
Keyword(s):  
Technology Acceptance ◽  
Financial Management ◽  
Structural Equation ◽  
Autonomous Motivation ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Intention To Use ◽  
Cross Sectional ◽  
Content Type ◽  
Finance Industry

PurposeThis study integrates self-determination theory (SDT) and the technology acceptance model (TAM) to explore how gamification increases users' motivation and intention to use personal financial management (PFM) apps, and how it facilitates their adoption.Design/methodology/approachData from 208 users of the Mint app were analyzed using partial least squares structural equation modeling.FindingsThe results showed that gamifying PFM apps satisfies users' needs for competence and autonomy and enhances their autonomous motivation to use them. Users' motivation increases their perceptions of ease of use and usefulness of the apps and causes them to develop more favorable attitudes toward them. The findings also confirmed a relationship between users' attitudes toward PFM apps and the behavioral intention to use them.Research limitations/implicationsTo investigate the generalizability of results, studies using other PFM apps would be useful. The cross-sectional nature of the research also limits its causal inference.Practical implicationsThis research provides support for the use of gamification in PFM apps and offers suggestions that may help fintech companies and banks to persuade users to engage with their apps.Originality/valueAlthough gamification is a trending topic, few studies have explored its use in the finance industry. Drawing on SDT and the TAM, this study extends previous research and adds new insights into the effects of gamification in this context.

Determinants of consumer’s readiness to adopt Islamic banking in Kashmir

2019 ◽  
Vol 11 (5) ◽  
pp. 1125-1154
Author(s):  
Asif Hamid Charag ◽  
Asif Iqbal Fazili ◽  
Irfan Bashir
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Government Support ◽  
Equation Modeling ◽  
Islamic Banking ◽  
Consumer Attitude ◽  
Intention To Use ◽  
Cross Sectional ◽  
Content Type ◽  
Readiness To Adopt

Purpose The purpose of this study is to examine the factors that influence the consumer intention to adopt Islamic banking. Design/methodology/approach The study extends the theory of reasoned action (TRA) by incorporating additional variables such as government support, perceived risk, perceived image, religiosity and culture. A research instrument adapted from previous studies is administered online on a sample of 310 respondents. The data collected are subjected to exploratory factor analysis followed by structural equation modeling using SPSS and analysis of a moment structures (22.0 Version). Findings The results of the study reveal that consumer intention to use Islamic banking is collectively determined by attitude, religiosity, culture, government support and perceived risk. It reflects that attitude and religiosity are the major predictors of a consumer’s intention followed by government support. Furthermore, results indicate that a consumer’s attitude toward Islamic banking is determined by social influence, government support, religiosity and perceived risk. Also, it is found that culture and perceived image have no significant effect on a consumer’s attitude toward adoption of Islamic banking. Further, the results indicate that attitude mediates the effect of religiosity, perceived risk, government support and culture on a consumer’s intention to use Islamic banking. Research limitations/implications The success of Islamic banking ultimately depends on consumer readiness and adoption of it. This study provides significant insights into various aspects of consumer attitude and intention toward Islamic banking adoption. The results provide vital inputs to policymakers and practitioners in offering and promoting Islamic banking. Also, the knowledge and understanding of key consumer specific factors can be used by banks in framing strategies for positioning and targeting Islamic banking products. The study is subjected to certain limitations such as – the study accounts only for limited factors and does not provide for factors such as pricing, behavioral control and Islamicity of the product. Second, this study is limited to the geographic area of Kashmir. Third, the study design is cross-sectional is nature. Originality/value Essentially, this study is a pioneering effort in applying an integrated TRA model to determine consumer intention to use Islamic banking in Kashmir. Furthermore, the current study examines the relationship between additional variables simultaneously within the framework of TRA. The study also explores the effect of religiosity and culture on consumer’s attitude and intention, which has remained largely unexplored in the context of Islamic banking.

scholarly journals Factors Affecting the Acceptance of Blended Learning in Medical Education: Application of UTAUT2 Model

2020 ◽  
Author(s):  
Seyyed Mohsen Azizi ◽  
Nasrin Roozbahani ◽  
Alireza Khatony
Keyword(s):  
Medical Education ◽  
Blended Learning ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Validity And Reliability ◽  
Cross Sectional ◽  
Actual Usage ◽  
Behavioral Intention To Use

Abstract Background: Blended learning is a new approach toward improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that may influence the behavioral intention to use of blended learning in medical education.Methods: In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was UTAUT2. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypothesis.Results: The validity and reliability of the model constructs were acceptable. Performance expectance, effort expectance, social influence, facilitating conditions, hedonic motivation, price value and habit had a significant effect on students’ behavioral intention to use of blended learning. Additionally, Behavioral intention to use of blended learning also had a significant effect on students’ actual usage of blended learning (β=0.645, P≤0.01).Conclusion: The study revealed that the proposed framework based on UTAUT2 has good potential to identify factors influencing students' behavioral intention to using of blended learning. Universities can use the results of this study to design and implementation successful blended learning courses in medical education.

Validating the Factor Structure of the Stigma of Suicide Scale–Short Form Spanish Version Among Healthcare Students

Crisis ◽  
2020 ◽  
pp. 1-5
Author(s):  
Ruthmarie Hernández-Torres ◽  
Paola Carminelli-Corretjer ◽  
Nelmit Tollinchi-Natali ◽  
Ernesto Rosario-Hernández ◽  
Yovanska Duarté-Vélez ◽  
...  
Keyword(s):  
Factor Structure ◽  
Structural Equation ◽  
Short Form ◽  
Small Sample Size ◽  
Small Sample ◽  
Spanish Version ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Healthcare Students ◽  
Spanish Speaking

Abstract. Background: Suicide is a leading cause of death among Spanish-speaking individuals. Suicide stigma can be a risk factor for suicide. A widely used measure is the Stigma of Suicide Scale-Short Form (SOSS-SF; Batterham, Calear, & Christensen, 2013 ). Although the SOSS-SF has established psychometric properties and factor structure in other languages and cultural contexts, no evidence is available from Spanish-speaking populations. Aim: This study aims to validate a Spanish translation of the SOSS-SF among a sample of Spanish-speaking healthcare students ( N = 277). Method: We implemented a cross-sectional design with quantitative techniques. Results: Following a structural equation modeling approach, a confirmatory factor analysis (CFA) supported the three-factor model proposed by Batterham and colleagues (2013) . Limitations: The study was limited by the small sample size and recruitment by availability. Conclusion: Findings suggest that the Spanish version of the SOSS-SF is a valid and reliable tool with which to examine suicide stigma among Spanish-speaking populations.

Cross-Lagged Relationships Between Self-Esteem, Self-Construal, and Happiness in a Three-Wave Longitudinal Study

2019 ◽  
Vol 40 (3) ◽  
pp. 177-185
Author(s):  
Daniela Moza ◽  
Laurențiu Maricuțoiu ◽  
Alin Gavreliuc
Keyword(s):  
Structural Equation ◽  
Time Lag ◽  
Self Esteem ◽  
Equation Modeling ◽  
Future Research ◽  
Cross Sectional ◽  
Self Construal ◽  
Self Worth ◽  
Practical Implications ◽  
Independent Person

Abstract. Previous research established that an independent construal of the self is associated with higher self-esteem, which, in turn, is associated with increased happiness. Regarding the directionality of these relationships, theoretical arguments have suggested that self-construal precedes self-esteem and that self-esteem precedes happiness. However, most research in this area is cross-sectional, thus limiting any conclusions about directionality. The present study tested these relationships in 101 Romanian undergraduates using a 3-wave cross-lagged design with a 6-month time lag between every two waves. Structural equation modeling analyses revealed that self-esteem is an antecedent of both happiness and dimensions of independent self-construal (i.e., consistency vs. variability and self-expression vs. harmony). In other words, one’s positive evaluation of self-worth precedes one’s self-perception as being a happy and independent person. The findings are discussed with respect to the theoretical and practical implications, along with limitations and suggestions for future research.

How Communication in Organizations Is Related to Foci of Commitment and Turnover Intentions

2020 ◽  
pp. 1-12
Author(s):  
Sebastian Holzwarth ◽  
George Gunnesch-Luca ◽  
Roman Soucek ◽  
Klaus Moser
Keyword(s):  
Organizational Communication ◽  
Turnover Intention ◽  
Structural Equation ◽  
Affective Commitment ◽  
Turnover Intentions ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Confirmatory Factor ◽  
Communication In Organizations ◽  
Cohesion Theory

Abstract. The current study analyzes how two components of perceived organizational communication (vertical and horizontal) are related to employee turnover intentions via three types of affective commitment foci (organization, supervisor, and team). Using second-order confirmatory factor analysis and structural equation modeling techniques with a large cross-sectional dataset ( n = 3,317), our results show that, in line with social cohesion theory, vertical communication (e.g., supportiveness from the organization) is strongly related to affective organizational commitment, whereas horizontal communication (e.g., supportiveness from colleagues) is primarily related to affective team commitment. Additionally, both communication dimensions are related to affective supervisory commitment. Finally, these three foci of affective commitment incrementally explain and differentially mediate the relationship between perceived organizational communication and turnover intention.

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