Predictors for the Adoption of Open Data Technologies

Open Data initiative is attracting considerable interest globally due to the growing phenomena of transparency, accountability, quality of life, and business. The adoption of open data technologies is inevitably an issue to better exploit the full potential and benefits of open data available to the public. The main issue in our knowledge of open data technologies is the scarcity of research studies on the adoption of open data technologies. Thus, the main objective of this study is to predict and explain the factors that influence the adoption of open data technologies. A Unified Model of Electronic Government Adoption (UMEGA) was employed as a lens to examine the influencing factors including additional factors i.e. imitating the behavior of others, disregarding own beliefs, and grievance redressal to make a novel contribution in the adoption studies. The survey method was used to collect the data from citizens and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) technique in SmartPLS 3. Satisfactory results are obtained proving that facilitating conditions has a significant positive influence on effort expectancy, effort expectancy on performance expectancy, performance expectancy on attitude, and attitude on behavioral intention to adopt open data technologies even though the number of participants is very small. Implications for the academics and managers are also outlined. Future researchers should find more concrete pieces of evidence upon collecting a large number of responses.

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

International Journal of Innovation and Technology Management ◽

10.1142/s0219877021500292 ◽

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.

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

International Journal of Strategic Decision Sciences ◽

10.4018/ijsds.2018100106 ◽

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.

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FACTORS INFLUENCING REPURCHASE INTENTION IN ONLINE SHOPPING CONTEXT: THE MEDIATING ROLE OF SATISFACTION

Journal of Applied Structural Equation Modeling ◽

10.47263/jasem.2(1)04 ◽

2018 ◽

Vol 2 (1) ◽

pp. 29-43

Author(s):

Xin Jean Lim ◽

Eugene Cheng-Xi Aw ◽

Kenny Guan-Cheng Teoh

Keyword(s):

Structural Equation ◽

Online Shopping ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Future Research ◽

Repurchase Intention ◽

Performance Expectancy ◽

Factors Influencing ◽

Effort Expectancy

This study investigates the factors influencing repurchase intention in online shopping context.Self-efficacy and trust were integrated with Unified Theory of Acceptance and Use of Technology (UTAUT) components, namely performance expectancy and effort expectancy in explaining online repurchase intention. It was hypothesized that performance expectancy, effort expectancy, self-efficacy, and trust influence satisfaction and online repurchase intention. Satisfaction was posited to mediate the relationships between the proposed antecedents and online repurchase intention. 211 use able responses were collected through purposive sampling method and the data was analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM). All proposed hypotheses were supported except the effects of effort expectancy and performance expectancy on online repurchase intention. All mediating effects of satisfaction proposed were found to be significant. Based on the findings, implications and future research directions were discussed.

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The Factors Influencing Taxpayers' Acceptance of E-Taxation System

Handbook of Research on Strategic Developments and Regulatory Practice in Global Finance - Advances in Finance, Accounting, and Economics ◽

10.4018/978-1-4666-7288-8.ch008 ◽

2015 ◽

pp. 105-121

Author(s):

Adnan Gercek ◽

Tolga Demirbas ◽

Filiz Giray ◽

Ayse Oguzlar ◽

Mehmet Yuce

Keyword(s):

Perceived Risk ◽

Structural Equation ◽

Model Performance ◽

Equation Modeling ◽

Intention To Use ◽

Government Services ◽

Performance Expectancy ◽

Effort Expectancy ◽

Facilitating Conditions ◽

Taxation System

E-taxation is one of the most popular e-government services. Most countries are focused on implementing an e-taxation system. The success of an e-taxation system depends on the taxpayers' acceptance of it. The taxpayers' intention to use an e-taxation system is determined by various factors. This chapter, based on empirical data collected from a survey of 505 respondents in Turkey, seeks to identify the factors that influence the taxpayers' acceptance of e-taxation system. It test various constructs of the UTAUT model – performance expectancy, trust perception, perceived risk, effort expectancy and facilitating conditions – on Turkish taxpayers' intention to use the e-taxation system. Structural equation modeling is used to analyze the effects of these variables on intention to use. The results indicate that performance expectancy and perceived risk have a significant impact on behavioral intention and that effort expectancy and facilitating conditions have a significant impact on intention to use.

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E-Government Services Adoption: An Extension of the Unified Model of Electronic Government Adoption

SAGE Open ◽

10.1177/2158244020933593 ◽

2020 ◽

Vol 10 (2) ◽

pp. 215824402093359

Author(s):

Isaac Kofi Mensah ◽

Guohua Zeng ◽

Chuanyong Luo

Keyword(s):

Structural Equation ◽

Unified Model ◽

Electronic Government ◽

Equation Modeling ◽

Intention To Use ◽

Perceived Service Quality ◽

Government Services ◽

Effort Expectancy ◽

Facilitating Conditions ◽

Behavioral Intention To Use

This study proposed and validated an extension of the unified model of electronic government adoption (UMEGA). The data analysis was conducted with a structural equation modeling technique using Smart PLS 3.0. The results have demonstrated contrary to expectations that performance expectancy, effort expectancy, and social influence do not predict the attitude toward the use of e-government services. Facilitating conditions, however, were found to significantly determine both the behavioral intention to use and effort expectancy of e-government services. Also, perceived service quality and trust in government were found to positively predict, respectively, the intention to use and recommend the adoption of e-government services. The implications of these and other result findings of this study are thoroughly interrogated.

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

SAGE Open ◽

10.1177/2158244020941858 ◽

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.

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Analisis Determinasi Pemanfaatan Accurate Online dengan Menggunakan Model UTAUT

Kompak :Jurnal Ilmiah Komputerisasi Akuntansi ◽

10.51903/kompak.v14i2.429 ◽

2021 ◽

Vol 14 (2) ◽

pp. 204-214

Author(s):

Silvi Febri Widiyawati ◽

Eko Wahjudi

Keyword(s):

Data Analysis ◽

Behavioral Intention ◽

Structural Equation ◽

Sampling Technique ◽

Financial Accounting ◽

Equation Modeling ◽

Performance Expectancy ◽

Analysis Technique ◽

Effort Expectancy ◽

Acceptance Model

This study aims to examine the factors that influence the behavior of using accurate online in computer accounting subjects based on the acceptance model and use of UTAUT technology. This research is quantitative. The population in this study were 81 students majoring in financial accounting SMK IPIEMS Surabaya institutions, with a research sample of 44 people. Samples were taken based on the purposive sampling technique with the criteria of students who have or are currently taking computer accounting subjects. Data were collected using a questionnaire. The data analysis technique used in this research is the analysis technique of Structural Equation Modeling (SEM). The results show there is a significant positive indirect effect between performance expectancy, effort expectancy and social influence towards the behavior of using accurate online with behavioral intention as a mediating variable.

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Analisis Behavioral Intention Pada Layanan Aplikasi RCTI+

Jurnal Manajemen Bisnis dan Kewirausahaan ◽

10.24912/jmbk.v4i5.9212 ◽

2020 ◽

Vol 4 (5) ◽

pp. 199

Author(s):

Anggit Mardiana Permatasari ◽

Hetty Karunia Tunjungsari

Keyword(s):

Social Influence ◽

Behavioral Intention ◽

Structural Equation ◽

Negative Influence ◽

Equation Modeling ◽

Moderator Variable ◽

Performance Expectancy ◽

Digital Era ◽

Effort Expectancy ◽

Facilitating Conditions

The current era is called the information age, where humans really need information. The existence of the internet on smartphones makes it easier for humans to get information and enjoy content wherever and whenever. One of the content services in Indonesia is the MNC Group's RCTI + application. Although RCTI + is a new company, RCTI + has an active number of users of 302,569 until November 2019. RCTI + has a fairly high market share because the digital era is growing rapidly. This study measures the interest of users of RCTI + applications in Indonesia by using a modified UTAUT2 research model, where researchers analyze the variables Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Habit, and Content on Behavioral Intention. The data used in this study were 89 valid respondents obtained online using a questionnaire. Respondents are users of the RCTI + application. Researchers used Structural Equation Modeling (SEM) with SmartPLS software version 3.0 to test hypotheses. The results showed that Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Habit and Content had an influence on Behavioral Intention. However, Hedonic Motivations has a negative influence on Behavioral Intention. The Age variable as a moderator variable influences Content on Behavioral Intention, while Gender has no effect. This study resulted in an R2 of 0,900 and included in the moderate category. This research, has found that the variable that most influences Behavioral Intention is Habit.

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Effects of Entrepreneurship on The Performance of Organic Rice Farmers in Tasikmalaya Regency

E3S Web of Conferences ◽

10.1051/e3sconf/202123202024 ◽

2021 ◽

Vol 232 ◽

pp. 02024

Author(s):

Candra Nuraini ◽

Iskandar Ma’moen

Keyword(s):

Structural Equation ◽

Sampling Technique ◽

Positive Influence ◽

Equation Modeling ◽

Survey Method ◽

Rice Farming ◽

Purposive Sampling ◽

Rice Farmers ◽

Organic Rice ◽

Organic Farmers

This study aims to analyzethe influence of the rice organic farmers’ entrepreneurship on the farming performance and identify the influence of farming technique or activities on the farming performance. This study used a survey method. The study was conducted in Manonjaya and Salawu sub-districts, Tasikmalaya regency, August until November 2019 which was chosen using purposive sampling technique applied to 50 samples. The respondents who were organic rice farmers were recruited using multistage purposive sampling technique. Data analysis was performed using structural equation modeling (SEM) with WarpPLS 2.0. The result show that the entrepreneurship significantly and positively affects farming techniques. Entrepreneurship has significant and positive influence on the organic rice farming performance. In addition, farming technique is significantly and positively influential on the organic rice farming performance.

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Identifikasi Karakter yang Berpengaruh terhadap Hasil Biji Beras Kopi Arabika di Kabupaten Garut Menggunakan Analisis Lintasan Bertahap

Jurnal Tanaman Industri dan Penyegar ◽

10.21082/jtidp.v1n3.2014.p175-184 ◽

2014 ◽

Vol 1 (3) ◽

pp. 175

Author(s):

Enny Randriani ◽

Dani Dani ◽

Indah Sulistiyorini ◽

Edi Wardiana

Keyword(s):

Path Analysis ◽

Structural Equation ◽

Negative Influence ◽

Positive Influence ◽

Green Bean ◽

Equation Modeling ◽

Survey Method ◽

West Java ◽

Arabica Coffee ◽

Bean Yield

Keterkaitan antara karakter vegetatif, komponen buah, komponen biji, dan hasil biji beras pada tanaman kopi merupakan hal penting dalam program pemuliaan dan seleksi. Model saling keterkaitan antar karakter tersebut adalah model sebab-akibat dan dapat dianalisis melalui analisis lintasan bertahap (ALB). Penelitian bertujuan mengidentifikasi karakter-karakter yang berpengaruh terhadap hasil biji beras kopi Arabika di daerah Garut, Jawa Barat melalui penggunaan analisis lintasan bertahap (ALB) dan model persamaan struktural (MPS). Penelitian dilaksanakan di Desa Marga Mulya, Kecamatan Cikajang, Kabupaten Garut, Jawa Barat, bulan Januari sampai Desember 2013 pada ketinggian tempat 1.300 m di atas permukaan laut dengan jenis tanah Andosol. Penelitian menggunakan metode survei dengan pengambilan contoh secara acak terhadap lima genotipe kopi Arabika, yaitu ABP-1, ABP-2, ABP-3, AGK-1, dan S 795. Hasil penelitian menunjukkan terdapat tiga karakter yang berpengaruh positif secara langsung, yaitu jumlah ruas pada batang, tebal buah, dan bobot 100 biji gabah. Karakter panjang cabang primer berpengaruh positif secara tidak langsung, sedangkan karakter jumlah cabang sekunder dan jumlah ruas cabang primer berpengaruh negatif secara tidak langsung. Karakter-karakter tersebut dapat digunakan sebagai kriteria seleksi pada populasi kopi Arabika di daerah Garut, Jawa Barat.Kata kunci: Kopi Arabika, seleksi karakter, analisis lintasan bertahap, model persamaan strukturalThe linkage between the vegetative characters, fruit components, production seeds component and rice seeds of the coffee plant is important in breeding and selection programs. Models of interrelations between these characters are causal models and can be analyzed through sequential path analysis (SPA). The objective of this study was to identify of several characters affecting on green bean yield of Arabica coffee in Garut, West Java by using sequential path analysis (SPA) and structural equation modeling (SEM). This research was conducted in the Marga Mulya Village, Cikajang District, Garut Regency, West Java, with altitude about 1300 m above sea level and Andosol type of soil, starting from January to December 2013. The research was conducted in survey method with random sampling method on the Arabica coffee genotypes such as ABP-1, ABP-2, ABP-3, AGK-1, and S795. The results showed that there are three characters having directly positive effect on green bean yield: number of internodes on stem, fruits thickness, and weight of 100 beans. On the other hand, length of primary branches has indirectly positive influence, while number of secondary branches and number of internodes on primary branches has indirectly negative influence. These characters can be used as selection criteria on the population of Arabica coffee in Garut, West Java.

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