Factors influencing the acceptance of private and public blockchain-based collaboration among supply chain practitioners: a parallel mediation model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gayathri Giri ◽  
Hansa Lysander Manohar
Keyword(s):  
Supply Chain ◽  
Information Processing ◽  
Behavioral Intention ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Mediating Effect ◽  
Intention To Use ◽  
Content Type ◽  
Private And Public ◽  
Behavioral Intention To Use

Purpose Drawing inspiration from the organizational information processing theory, the technology acceptance model (TAM) and the theory of motivation, this study aims to examine the acceptance of private and public blockchain technology-based collaboration among supply chain practitioners. Design/methodology/approach A total of 257 samples were collected through a survey from supply chain practitioners. The study used parallel mediators of perceived usefulness (extrinsic motivation) and perceived ease of use (intrinsic motivation) to measure behavioral intention to use. Findings The results reveal that partial mediation exists between blockchain-based collaboration (private and public) and behavioral intention to use. For perceived usefulness, a stronger mediating effect was found between private blockchain-based collaboration and behavioral intention to use. For perceived ease of use, a stronger mediating effect was found between public blockchain-based collaboration and behavioral intention to use. Originality/value By integrating insights from the organizational information processing theory, the TAM and the theory of motivation, this study provides an in-depth understanding of how the distinct features of information processing in blockchain technology-based collaboration influence the supply chain practitioners’ to accept it. The novelty and results of the study expand the existing literature and pave the way for future research.

scholarly journals The incidence of incentives for t-commerce acceptance: improving television as a distribution channel

2016 ◽  
Vol 31 (3) ◽  
pp. 426-435 ◽  
Author(s):  
Francisco-Javier Arroyo-Cañada ◽  
Jaime Gil-Lafuente
Keyword(s):  
Behavioral Intention ◽  
Interactive Television ◽  
Distribution Channel ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Measurement Scales ◽  
Content Type ◽  
Behavioral Intention To Use ◽  
The Impact

Purpose This paper aims to explore the impact of incentives on the behavioral intention to use electronic commerce through interactive television to enhance a deeper understanding of how television platforms can improve the attractiveness of television to enterprises as a channel of communication and distribution. Design/methodology/approach This study uses a questionnaire to collect empirical data on preferences related to perceived usefulness, perceived ease of use, perceived enjoyment, attitude toward the use of t-commerce and behavioral intention to use t-commerce and incentives. The measurement scales of the variables were tested using exploratory factor analysis. The hypotheses were tested using the results of forgotten effects analysis applied to the incidences of incentives on the precedents of the behavioral intention to use t-commerce. Findings The findings suggest that there are no significant direct incidences between incentives and the behavioral intention to use t-commerce, but the direct incidence is only part of the total incidence and on many occasions is only a small part, as the result of causal relationships between causes and effects. The results indicate indirect incidences between incentives and the behavioral intention to use t-commerce through its precedents. Practical Implications Marketing managers of television platforms may consider the use of incentives to encourage behavioral intention to use t-commerce to achieve the development of interactive television as a distribution channel. Originality/value Research on t-commerce acceptance, especially research that uses extrinsic variables, is scarce. This paper addresses that gap by exploring the use of incentives to attract users.

A case-study to examine doctors’ intentions to use IoT healthcare devices in Iraq during COVID-19 pandemic

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ameer Alhasan ◽  
Lukman Audah ◽  
Ishaq Ibrahim ◽  
Ammar Al-Sharaa ◽  
Ali Saadon Al-Ogaili ◽  
...  
Keyword(s):  
Behavioral Intention ◽  
Self Efficacy ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Healthcare Sector ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Behavioral Intention To Use ◽  
Computer Self Efficacy

Purpose Several countries have been using internet of things (IoT) devices in the healthcare sector to combat COVID-19. Therefore, this study aims to examine the doctors’ intentions to use IoT healthcare devices in Iraq during the COVID-19 pandemic. Design/methodology/approach This study proposed a model based on the integration of the innovation diffusion theory (IDT). This included compatibility, trialability and image and a set of exogenous factors such as computer self-efficacy, privacy and cost into the technology acceptance model comprising perceived ease of use, perceived usefulness, attitude and behavioral intention to use. Findings The findings revealed that compatibility and image of the IDT factors, have a significant impact on the perceived ease of use, perceived usefulness and behavioral intention, but trialability has a significant impact on perceived ease of use, perceived usefulness and insignificant impact on behavioral intention. Additionally, external factors such as privacy and cost significantly impacted doctors’ behavioral intention to use. Moreover, doctors’ computer self-efficacy significantly influenced the perceived ease of use, perceived usefulness and behavioral intention to use. Furthermore, perceived ease of use has a significant impact on perceived usefulness and attitude, perceived usefulness has a significant impact on attitude, which, in turn, significantly impacting doctors' behavior toward an intention to use. Research limitations/implications The limitations of the present study are the retractions of the number of participants and the lack of qualitative methods. Originality/value The finding of this study could benefit researchers, doctors and policymakers in the adaption of IoT technologies in the health sectors, especially in developing counties.

Understanding users’ behavioral intention to use voice assistants on smartphones through the integrated model of user satisfaction and technology acceptance: a survey approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mine Bertan Yılmaz ◽  
Kerem Rızvanoğlu
Keyword(s):  
Regression Analysis ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
User Satisfaction ◽  
Integrated Model ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
System Quality ◽  
Content Type ◽  
Behavioral Intention To Use

Purpose This study aims to determine system quality (SQ) and information quality (IQ) characteristics of voice assistants (VA) on smartphones that are affecting users’ satisfaction and technology acceptance, and how these affect behavioral intention (BI) to use. Design/methodology/approach This study uses the integrated model of user satisfaction and technology acceptance to evaluate users’ behavioral intention to use VAs on smartphones. The model represents a causal chain from the key characteristics of SQ and IQ to beliefs and attitudes that ultimately affect use. An online survey was conducted with 75 university students, and the data was analyzed using multivariate analysis: Simple linear regression analysis and multiple regression analysis. Findings While SQ and IQ of VAs had stronger effects on perceived ease of use (PEU), information satisfaction and PEU showed significant influences on perceived usefulness (PU). The results supported the influence of PEU, PU, and attitude on BI to use but with lesser effect than what PU and attitude together had on BI. Research limitations/implications The sample was drawn from a population of students at a single and small university. Although this study received 160 responses, only 75 were appropriate for analysis. Originality/value There is no research, which adopts technology acceptance and user satisfaction approaches to VAs. To measure the causal effects, this study determined system and information characteristics that could explain SQ and IQ of the current VAs on smartphones. This study tested the proposed framework within the scope of the integrated approach.

scholarly journals ANALISIS TINGKAT KEPUASAN NASABAH TERHADAP WEBSITE PEGADAIAN MENGGUNAKAN METODE TAM

Swabumi ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 90-99
Author(s):  
Nia Nuraeni
Keyword(s):  
Behavioral Intention ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Behavioral Intention To Use

Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh perceived usefulness dan perceived ease of use terhadap behavioral intention to use dalam penerapan tingkat kepuasan nasabah di PT. Pegadaian (Persero). Penelitian ini berjenis kuantitatif deskriptif dengan sumber data menggunakan data primer. Sampel yang digunakan dalam penelitian ini sebanyak 30 orang nasabah di PT. Pegadaian (Persero) Dengan alat analisis yang dipakai menggunakan SPSS ver. 24. Hasil penelitian ini menunjukan bahwa secara parsial perceived usefulness tidak berpengaruh dan tidak signifikan terhadap behavioral intention to use dan perceived ease of use berpengaruh dan signifikan terhadap behavioral intention to use. Sedangkan secara parsial perceived usefulness dan perceived ease of use berpengaruh dan signifikan terhadap behavioral intention to use dengan tingkat koefisien determinasi sebesar 86,4% sedangkan sisanya 13,6% dijelaskan oleh variabel-variabel lain yang tidak diteliti dalam penelitian ini

scholarly journals Analysis of E-Marketplace Use in East Java’s MSMEs Using the Technology Acceptance Model Approach

2021 ◽  
Author(s):  
Rurid Dwi Anggraeny ◽  
Imam Baihaqi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Technology Use ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

The e-commerce industry has the potential to be one of the drivers of the domestic economy. One of the impacts of the advancement of e-commerce is the emergence of many online-based marketplaces or so-called e-marketplaces. However, a lot of these online marketplaces sell 90% imported products. In addition, the outbreak of Covid-19 in Indonesia has prompted the government to establish several policies that have significantly reduced MSME performance by up to 70-100%. This study aimed to provide an empirical analysis of the influence of factors based on the Technology of Acceptance Model (TAM) approach, namely e-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces. The sample consisted of MSMEs in East Java, especially those engaged in the food and beverage industry sector with ready-to-eat processed food products whose business activities use the Shopee e-marketplace application platform. This is an online shopping marketplace focused on mobile platforms. There were 150 respondents. The Structural Equation Model (SEM) was used. E-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces all had positive effects on each other. This showed that a system that offers convenience will improve behavior, habits, and performance for MSMEs in using e-marketplace activities. The theoretical and methodological implications and opportunities for further research are discussed. Keywords: MSMEs, e-marketplace, technology acceptance model

scholarly journals The Use of Smartphone Fitness Applications: The Role of Self-Efficacy and Self-Regulation

2020 ◽  
Vol 17 (20) ◽  
pp. 7639
Author(s):  
Anna Vinnikova ◽  
Liangdong Lu ◽  
Jiuchang Wei ◽  
Guangbao Fang ◽  
Jing Yan
Keyword(s):  
Goal Setting ◽  
Behavioral Intention ◽  
Self Efficacy ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Self Monitoring ◽  
Usage Behavior ◽  
Behavioral Intention To Use

With the popularity of the health and wellness trend in recent years, smartphone fitness applications have become more and more popular. Thus, this study explored factors affecting the behavioral intention to use and the actual usage behavior of smartphone fitness apps from technical, health, and social perspectives by integrating the Social Cognitive Theory (SCT) and Unified Theory of Acceptance and Use of Technology (UTAUT). We examined whether perceived usefulness, perceived ease-of-use, social influence, self-efficacy, goal-setting, and self-monitoring predict usage behavior. Based on the survey responses of 1066 smartphone fitness apps users, we revealed that all of the variables, except for self-monitoring, significantly influence usage behavior, while behavioral intention acts as a total mediator between perceived usefulness, perceived ease-of-use and usage behavior. Drawing on the research findings, we suggest that influencing behavioral intention to use a fitness app can be an effective method to increase its adoption. Therefore, app developers need to pay attention to interventions that seek to enhance the usefulness of the app, provide professional counseling, as well as an opportunity for effortless goal setting features.

scholarly journals Factors Affecting Students’ Behavioral Intention to Use LMS at a Turkish Post-Secondary Vocational School

2016 ◽  
Vol 17 (3) ◽  
Author(s):  
Harun Cigdem ◽  
Mustafa Ozturk
Keyword(s):  
Behavioral Intention ◽  
Pearson Correlation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Direct Influence ◽  
Perceived Ease Of Use ◽  
Post Secondary ◽  
Perceived Satisfaction ◽  
Behavioral Intention To Use

<p>There is a substantial increase in the use of learning management systems (LMSs) to support teaching and learning activities in higher education institutions. Despite their benefits, students use them to a limited extend due to a number of factors influencing behaviors. This study executed a three-tier use model to examine the predictors of students’ behavioral intention to use LMSs at a two-year post-secondary military school in Turkey, and the participants consisted of 155 students. The data were collected through an online questionnaire and analyzed through Pearson correlation coefficients and linear regression analyses. Results showed that multimedia instruction had a direct influence on perceived usefulness and perceived ease of use, while interactivity had a direct influence only on perceived satisfaction. Perceived satisfaction was also affected by perceived usefulness and perceived ease of use. Perceived ease of use exerted a direct influence on perceived usefulness, as well. Moreover, perceived usefulness had a great influence on behavioral intention to use LMSs. As a final point, self-efficacy did not take a position in the model due to its insignificant relationships with the other constructs. It is suggested that an increase in the multimedia features and interactivity of the system could lead to higher perceived usefulness and ease of use among learners, and both factors add to learners’ perceived satisfaction which in turn increases their engagement.</p>

scholarly journals Determinant of Taxpayer’s Behavioral Intention to Use ­E­System in Taxation

2017 ◽  
Vol 7 (2) ◽  
pp. 1035
Author(s):  
Reni Surmayanti ◽  
Made Sudarma ◽  
Roekhudin Roekhudin
Keyword(s):  
Behavioral Intention ◽  
Subjective Norms ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Behavior Control ◽  
Amount Of Information ◽  
Perceived Behavior Control ◽  
Behavioral Intention To Use

Determinant of Taxpayer’s Behavioral Intention to Use ­E­System in Taxation. The purpose ofthis research is to examine the effect of attitude, subjective norms, perceived behavior control,perceived usefulness, perceived ease of use, self-efficacy and amount of information towardstaxpayer’s behavioral intention to use e-system in taxation. This research was conducted in KPPPratama Kuala Tungkal. Data collection method used is survey method by spreading the questionnaire. The sample of research is Personal Taxpayer (WPOP) who use e-system. Data analysis using Partial Least Square (PLS) with warpPLS software version 3.0. This research foundthatattitude, subjective norms and perceived behavior control does not affect the taxpayer’sbehavioral intention to use e-system in taxation. Perceived usefulness, perceived ease of use,self-efficacy and amount of information affects the taxpayer’s behavioral intention to use esystem in taxation.Keywords: Behavioral intention, e-system, Personal Taxpayer (WPOP).

scholarly journals Students’ acceptance of mobile-based assessment

2021 ◽  
pp. 43-52
Author(s):  
Nur Adillawati Kosim Saputri ◽  
Ade Gafar Abdullah ◽  
Dadang Lukman Hakim
Keyword(s):  
Behavioral Intention ◽  
Online Survey ◽  
Structural Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Second Grade ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Effective Development ◽  
Behavioral Intention To Use

The effective development of a Mobile-Based Assessment (MBA) depends on students’ acceptance. The aim of this paper was to examine the determinant factor of students’ behavioral intention to use mobile-based assessment. Data were collected from 105 second grade students of a vocational high school through an online survey questionnaire. Partial Least Squares (PLS) was used to test the measurement and the structural model. Results showed Perceived Ease of Use as the strongest direct predictor of Behavioral Intention to Use, followed by Perceived Usefulness. Content and Mobile Self-Efficacy only has an indirect effect. These four variables explain 51.3 percent of the variance of Behavioral Intention to Use.

scholarly journals ANALISIS PENERIMAAN APLIKASI PEMBELAJARAN ONLINE MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL 3 DAN PARTIAL LEAST SQUARE STRUCTURAL EQUATION MODEL (PLS-SEM)

Factor M ◽  
2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Jerhi Wahyu Fernanda ◽  
Noer Hidayah
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Actual System ◽  
Behavioral Intention To Use

This research aims to examine the factors that influence to the acceptance of the Google classroom (GC) application in online learning. Conceptual model to assess acceptance of a technology use the Technology accept model (TAM) 3 model. TAM 3 is a development of the TAM model by adding the Perceived Ease of Use dimension which can be used to predict and explain behavior that encourages the use of technology cause that is always experiencing development. The statistical analysis used is the Partial Least Square Structural Equation Model. The data obtained are primary data. It has obtained from questionnaires distributed via google forms. The sample are 150 respondents. This research used simple random sampling technique with criteria that must be fulfilled. The variable consists of 4 latent variables, consist of Perceived Ease of Use, Perceived Usefulness, Behavioral Intention to Use and Actual System Use. The measurement scale uses a 5 category Likert scale. The results of statistical analysis of the research, Perceived Ease of Use has a significant effect on Perceived Usefulness and Behavioral Intention to Use, Perceived Usefulness has a significant effect on Behavioral Intention to Use and Behavioral Intention to Use has a significant effect on Actual System Use.Penelitian ini bertujuan untuk meneliti faktor-faktor yang berpengaruh terhadap penerimaan aplikasi pembelajaran online Google classroom dalam pembelajaran online. Model konseptual untuk menilai penerimaan terhadap suatu teknologi menggunakan model Technology acceptance model (TAM) 3. TAM 3 merupakan pengembangan dari model TAM dengan menambahkan dimensi Perceived Ease of Use yang dapat digunakan untuk memprediksi, dan menjelaskan perilaku yang mendorong penggunaan teknologi yang selalu mengalami perkembangan. Analisis statistika yang digunakan adalah Partial Least Square Structural Equation Model. Data yang didapatkan adalah data primer dari kuesioner yang disebar melalui google form. Sampel berjumlah 150. Penelitian ini menggunakan teknik simpel random sampling. Terdapat 4 variabel latent yaitu Perceived Ease of Use, Perceived Usefulness, Behavioral Intention to Use dan Actual System Use. Skala pengukuran menggunakan skala likert 5 kategori. Hasil analisis statistika didapatkan kesimpulan variabel Perceived Ease of Use berpengaruh signifikan terhadap Perceived Usefulness dan Behavioral Intention to Use, Perceived Usefulness memiliki pengaruh yang signifikan terhadap terhadap Behavioral Intention to Use dan Behavioral Intention to Use berpengaruh signifikan terhadap Actual System Use.

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