Analisis User Acceptance dan Usage Atas Implementasi SPAN pada Kementerian Keuangan

The objective of this research is to analyze factors that influence user acceptance and usage of sistem perbendaharaan dan anggaran negara (SPAN) implementation at Finance Ministry of Indonesia. This research examined the impact of performance expectancy, effort expectancy, social influence, facilitating condition and managerial interventions to the attitude toward system use and symbolic adoption. This research is also examined the impact of attitude toward system use to symbolic adoption with technology trust as moderating variable. This study collected the perceptions of 259 SPAN users/operators of 8 regional office of Directorate General of Treasury and State Treasury Offices of Finance Ministry and analysed using structural equation model approach. The finding suggest that the performance expectancy, effort expectancy, social influence, facilitating condition and managerial interventions have positive and significance impact to the attitude toward system use. The finding also suggest that only social influence and facilitating condition have positive and significance impact to the symbolic adoption. Finally, the finding suggest that technology trust moderates positive and significance impact of attitude toward system use to symbolic adoption.. Tujuan dari penelitian ini adalah untuk menganalisis faktor-faktor yang mempengaruhi penerimaan dan penggunaan Sistem Perbendaharaan Dan Anggaran Negara (SPAN) di Kementerian Keuangan. Penelitian ini menganalisa dampak dari harapan kinerja SPAN (performance expectancy), kemudahan penggunaan SPAN (Effort Expectancy), pengaruh sosial terhadap penggunaan SPAN (Social Influence), adanya fasilitas organisasi terhadap user SPAN (facilitating Condition) dan intervensi pimpinan terhadap penggunaan SPAN (Managerial Intervention) terhadap sikap untuk menyukai SPAN (Attitude Toward System Use) dan menggunakan SPAN secara simbolik (Simbolic Adoption). Penelitian ini juga meneliti dampak dari sikap untuk menyukai SPAN (Attitude Toward System Use) terhadap penggunaan SPAN secara simbolik dengan kepercayaan teknologi (technology Trust) sebagai variabel moderasi. Penelitian ini mengumpulkan pendapat dari 259 pengguna SPAN / operator dari 10 kantor wilayah dari Direktorat Jenderal Perbendaharaan dan Kantor Pelayanan Perbendaharaan Negara Kemneterian Keuangan dan dianalisis menggunakan pendekatan SEM. Temuan ini menunjukkan bahwa harapan kinerja SPAN (performance expectancy), kemudahan penggunaan SPAN (Effort Expectancy), pengaruh sosial terhadap penggunaan SPAN (Social Influence), adanya fasilitas organisasi terhadap user SPAN (facilitating Condition) dan intervensi pimpinan terhadap penggunaan SPAN (Managerial Intervention) berdampak positif dan signifikan berpengaruh positif terhadap sikap untuk menyukai SPAN (Attitude Toward System Use). Temuan ini juga menunjukkan bahwa hanya pengaruh sosial terhadap penggunaan SPAN (Social Influence), adanya fasilitas organisasi terhadap user SPAN (facilitating Condition) berdampak positif dan signifikan terhadap penggunaan SPAN secara simbolik (Symbolic Adoption). Akhirnya, temuan menunjukkan bahwa kepercayaan terhadap SPAN (Technology Trust) mampu memoderasi hubungan sikap untuk menyukai SPAN (Attitude Toward System Use) dan menggunakan SPAN secara simbolik (Simbolic Adoption).

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Modeling Factors Affecting Student’s Usage Behaviour of E-Learning Systems in Lebanon

International Journal of Business and Management ◽

10.5539/ijbm.v11n2p299 ◽

2016 ◽

Vol 11 (2) ◽

pp. 299 ◽

Cited By ~ 20

Author(s):

Ra'ed (Moh'd Taisir) Masa'deh ◽

Ali Tarhini ◽

Ashraf Bany Mohammed ◽

Mahmoud Maqableh

Keyword(s):

Social Influence ◽

Learning Systems ◽

Behavioural Intention ◽

Equation Modeling ◽

Positive Effects ◽

Performance Expectancy ◽

Effort Expectancy ◽

E Learning ◽

Facilitating Conditions ◽

The Impact

This study seeks to explore the factors that influence students’ usage behaviour of e-learning systems. Based on the strong theoretical foundation of the TAM, UTAM and using structural equation modeling (SEM) via AMOS 20.0, this research paper examines the impact of performance expectancy, effort expectancy, hedonic motivation, habit, social influence, and trust on student’s behavioural intention, which is later examined along with facilitating conditions on student’s usage behaviour of e-learning systems. Data was collected from students at two universities in Beirut (capital of Lebanon) using a cross-sectional questionnaire survey between January and March 2015. The results revealed direct positive effect of performance expectancy, hedonic motivation, habit, and trust on student’s behavioural intention to use e-learning explaining around 71% of overall behavioural intention. Meanwhile, behavioural intention and facilitating conditions accounted for 40% with strong positive effects on student’s usage behviour of e-learning systems. However, both effort expectancy and social influence did not impact student’s behavioural intention.

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An Empirical Investigation on Taxi Hailing Mobile App Adoption: A Structural Equation Modelling

Business Management and Strategy ◽

10.5296/bms.v9i1.13006 ◽

2018 ◽

Vol 9 (1) ◽

pp. 48 ◽

Cited By ~ 5

Author(s):

Herman Fassou Haba ◽

Omkar Dastane

Keyword(s):

Social Influence ◽

Structural Equation Modelling ◽

Structural Equation ◽

Empirical Investigation ◽

Research Study ◽

Mobile App ◽

User Behaviour ◽

Performance Expectancy ◽

Equation Modelling ◽

Effort Expectancy

This empirical investigation aims to determine the factors leading to the adaptation of Taxi Hailing Mobile Apps among Malaysian consumers using the theory of Venkatesh et al. (2003) user theory of acceptance and use of technology (UTAUT). The adopted framework has four independent variables namely performance expectancy, effort expectancy, social influence and facilitating conditions. Dependent variables include behavioural intension and user behaviour. The study follows exploratory research design and quantitative research method. Primary data is collected using online Google survey questionnaire. The target population of this research study is international and local in Malaysia who makes use of taxi hailing app in order to satisfy their transportation needs. Convenience sampling technique is used to collect data from a sample of 202 respondents. Confirmatory Factors Analysis (CFA) and Structural Equation Modelling (SEM) are used in order to answer the research questions. Findings show that Performance expectancy, social influence and behaviour intension has positive influence on user behaviour while effort expectancy and behavioural intension has no influence. For scholars and researchers, understandably this research study opens the gate way of the application of UTAUT on information system (IS) apps that had been recently created.

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Behavioural intention to use accounting application: perceived ease of use as mediating variable

Journal of Management Info ◽

10.31580/jmi.v7i4.1610 ◽

2021 ◽

Vol 7 (4) ◽

pp. 211-218

Author(s):

Desi Ilona ◽

Zaitul

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Theoretical Implication ◽

Equation Model ◽

Ease Of Use ◽

External Factors ◽

Intention To Use ◽

Perceived Ease Of Use ◽

Performance Expectancy ◽

Effort Expectancy

This study investigates the role of perceived ease of use as an intervening variable between two external factors from the technology acceptance model (TAM) and Accounting application (MYOB) usage intention. This paper broadened TAM by enhancing external factors: performance expectancy and effort expectancy. Seventy-nine accounting students responded in this study. Employing Structural Equation Model (SEM-PLS) concludes that perceived ease of use fully intercedes the connection between effort expectancy and MYOB usage intention. Besides, perceived ease of use also intervenes the association between performance expectancy and intention to use MYOB accounting application. However, the type of mediation is complimentary mediation. The practical and theoretical implication is discussing in this paper.

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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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Data Mining Menggunakan Algoritma Apriori dalam Rekomendasi Produk Restoran

Jurnal Edukasi dan Penelitian Informatika (JEPIN) ◽

10.26418/jp.v7i3.49606 ◽

2021 ◽

Vol 7 (3) ◽

pp. 351

Author(s):

Laurentinus Laurentinus

Keyword(s):

Data Mining ◽

Social Influence ◽

Behavioral Intention ◽

User Acceptance ◽

Acceptance Testing ◽

Performance Expectancy ◽

Effort Expectancy ◽

Data History ◽

Use Behavior

Pemanfaatan teknologi Data mining kini telah banyak diterapkan di perusahaan besar di berbagai aspek. Namun sayangnya, masih banyak usaha-usaha di Indonesia yang belum memanfaatkan teknologi data mining dalam meningkatkan rencana strategis usaha kedepan, data-data yang masuk ke perusahaan hanya menjadi data history, masuk ke arsip perusahaan dan akhirnya dibiarkan tersimpan. Perusahaan dituntut memberikan layanan yang mudah dan cepat kepada customer serta menentukan strategi bisnis kedepannya, khususnya pada Restoran Bahari Bangka Belitung dalam melayani wisatawan mendapatkan fakta bahwa wisatawan sangat sulit menentukan produk yang ingin dipesan dan meminta rekomendasi kepada pelayan. Berdasarkan masalah yang dihadapi ini dapat diselesaikan dengan memanfaatkan data transaksi yang diolah dalam memberikan rekomendasi produk atau menu unggulan yang terkait untuk kepentingan pemasaran. Data mining melakukan penggalian data yang sudah tersimpan dalam jangka waktu tertentu untuk dijadikan refrensi didalam memberikan rekomendasi. Algoritma dalam penelitian ini adalah algoritma apriori berbasis website dan android dengan menggunakan metode prototype. Hasil dari penelitian ini yaitu rekomendasi apriori terhadap produk dalam bentuk aturan asosiatif atau pola transaksi customer dengan cara mengumpulkan data transaksi lalu dengan eksperimen dataset sejumlah 274 transaksi dihitung menggunakan algoritma Apriori dengan nilai support minimal 50 dan nilai confidence minimal 75%. Pengujian User Acceptance Testing dari 6 variabel dengan detail 10 pertanyaan mengenai effort expectancy, social influence, performance expectancy, use behavior, supporting facilitating dan behavioral intention menghasilkan indeks rata-rata sebesar 90.4%.

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Effects of trust and perceived risk on user acceptance of a new technology service

Social Behavior and Personality An International Journal ◽

10.2224/sbp.2013.41.4.587 ◽

2013 ◽

Vol 41 (4) ◽

pp. 587-597 ◽

Cited By ~ 38

Author(s):

Ji-Hwan Lee ◽

Chi-Hoon Song

Keyword(s):

Social Influence ◽

Perceived Risk ◽

Structural Equation ◽

New Technology ◽

Equation Modeling ◽

Intention To Use ◽

Performance Expectancy ◽

Use Of Technology ◽

Effort Expectancy ◽

The Republic

We explored the precise impacts of trust and perceived risk on the core constructs of the unified theory of acceptance and use of technology (UTAUT). We applied the UTAUT model to the novel context of the Certified e-Document Authority (CeDA) service used in the Republic of Korea. Our results from structural equation modeling largely supported our hypotheses. Trust and perceived risk were shown to be direct antecedents of intention to use, and trust functioned as an indirect antecedent. Performance expectancy and social influence were shown to positively affect behavioral intention. Effort expectancy was also shown to influence performance expectancy. The combination of trust, perceived risk, performance expectancy, effort expectancy, and social influence accounted for 55.3% of the variance observed in users' intention to use CeDA services.

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Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model

SAGE Open ◽

10.1177/21582440211027875 ◽

2021 ◽

Vol 11 (2) ◽

pp. 215824402110278

Author(s):

Lingming Chen ◽

Md. Salamun Rashidin ◽

Fei Song ◽

Yi Wang ◽

Sara Javed ◽

...

Keyword(s):

Social Influence ◽

Technology Acceptance ◽

Perceived Risk ◽

Purchase Intention ◽

Structural Equation ◽

Equation Model ◽

Perceived Trust ◽

Performance Expectancy ◽

Fresh Food ◽

Negative Effect

Despite the booming market of fresh food, the fresh e-commerce platform holds only a limited market share, owing to the lack of habitual usage of these platforms. This article explores the determinants of purchase intention when using a fresh e-commerce platform. The integrated technology acceptance model (Unified Theory of Acceptance and Use of Technology [UTAUT]) is employed as the framework. A questionnaire survey was conducted and is analyzed using the structural equation model. We find that both performance expectancy and social influence have a significantly positive effect on consumers’ purchase intention using fresh e-commerce platforms, while perceived risk has a significantly negative effect. Perceived trust plays a mediating role between performance expectancy and purchase intention, social influence and purchase intention, as well as perceived risk and purchase intention. In addition, food safety awareness is a moderator between perceived trust and purchase intention.

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Analisis Perilaku Penggunaan Sistem Informasi Akademik Oleh Mahasiswa Keperawatan

JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi ◽

10.32524/jusitik.v1i1.155 ◽

2017 ◽

Vol 1 (1) ◽

pp. 11 ◽

Cited By ~ 1

Author(s):

Morlina Sitanggang ◽

Reginaldus Kristoforus Jawa Bendi ◽

Fransiska Soejono

Keyword(s):

Social Influence ◽

Behavioral Intention ◽

User Acceptance ◽

Performance Expectancy ◽

Effort Expectancy ◽

Facilitating Conditions

Pemanfaatan teknologi informasi merupakan hal yang penting bagi organisasi, karena dapat meningkatkan efektifitas dan efisiensi kinerja organisasi. Namun penerapan teknologi informasi tidak selalu berhasil. Salah satu faktor penentu keberhasilan penerapan teknologi informasi adalah sikap pengguna yang memanfaatkan teknologi tersebut. UTAUT merupakan kombinasi delapan model user acceptance of technology yang telah dikembangkan sebelumnya. Studi empiris yang mengadopsi model UTAUT telah banyak dilakukan. UTAUT juga digunakan oleh beberapa peneliti untuk melihat niat dan perilaku pengguna teknologi informasi di bidang pendidikan. Karena itu penelitian ini juga dikembangkan dengan mengadopsi model UTAUT untuk melihat perilaku pengguna SIAK (Sistem Informasi Akademik) pada program studi-program studi keperawatan di lingkungan Universitas Katolik Musi Charitas. Empat konstruk dari UTAUT digunakan sebagai determinan yang mempengaruhi niat pengguna (behavioral intention), yaitu: performance expectancy, effort expectancy, social influence dan facilitating conditions. Populasi penelitian ini adalah mahasiswa aktif prodi D3 Keperawatan, S1 Keperawatan dan prodi Profesi Ners yang menggunakan SIAK. Data dikumpulkan melalui kuesioner yang disebarkan kepada 297 responden. Data diolah dan dianalisis dengan teknik regresi linier berganda. Uji validitas dan reliabilitas menunjukan bahwa kuesioner yang digunakan sebagai instrumen penelitian valid dan reliabel. Hasil uji asumsi klasik menunjukan bahwa data terdistribusi normal dan bebas multikolinieritas, namun belum memenuhi asumsi heteroskedastisitas.Hasil uji hitopesis menunjukan bahwa performance expectancy, effort expectancy, sosial influence, dan facilitating condition berpengaruh positif signifikan terhadap behavioral intention. Kata kunci: UTAUT, performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention

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Analysis of User Acceptance of ERP System on After Sales Function Using Unified Theory of Acceptance and Use of Technology (UTAUT) Model

International Journal of Advances in Data and Information Systems ◽

10.25008/ijadis.v1i1.178 ◽

2020 ◽

Vol 1 (1) ◽

pp. 26-33

Author(s):

Verina Risky Andwika ◽

R. Wahjoe Witjaksono

Keyword(s):

Social Influence ◽

Significant Influence ◽

Behavioral Intention ◽

User Acceptance ◽

Unified Theory ◽

Utaut Model ◽

Performance Expectancy ◽

Use Of Technology ◽

Effort Expectancy ◽

Facilitating Conditions

Unified Theory of Acceptance and Use of Technology (UTAUT) is a model used to describe user behavior towards the acceptance of information technology. UTAUT is a development of eight previous leading theories. UTAUT has four constructs that can be a significant direct determinant of behavioral intention and use behavioral, ie performance expectancy, effort expectancy, social influence, and facilitating conditions. This model is then used to analyze user acceptance of Enterprise Resource Planning (ERP) at PT Wijaya Toyota Dago. ERP is a system that can help companies to integrate one process with another process, in order to achieve company goals. This research will explain about the relation of factors influencing acceptance and usage of ERP by using UTAUT model. This research is an explanative research with data analysis technique using PLS (Partial Least Square). Data obtained comes from respondents who are employees of After Sales function of PT Wijaya Toyota Dago, data obtained by way of distributing the questionnaire tertuup. The sample size in this study was 37 resondents and analyzed using SPSS and SmartPLS applications. The analysis results are as follows: (1) Variable Performance Expectancy (PE) has a positive and significant influence on Behavioral Intention (BI); (2) Variable Effort Expectancy (EE) has a positive and significant influence on Behavioral Intention (BI);(3) Social Influence Variables (SI) have a positive and significant influence on Behavioral Intention (BI); (4) Variable Facilitating Conditions (FC) has a positive and significant influence on Use Behavior; (5) Social Influence (SI) variable has positive but not significant influence on Behavioral Intention (BI).

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Implementasi Metode Analytical Hierarchy Process dan Simple Additive Weighting untuk Pemilihan Dosen Terbaik Studi Kasus STMIK Atma Luhur

Jurnal Teknologi Informasi dan Ilmu Komputer ◽

10.25126/jtiik.2019661636 ◽

2019 ◽

Vol 6 (6) ◽

pp. 655 ◽

Cited By ~ 1

Author(s):

Laurentinus Laurentinus ◽

Sobirin Rinaldi

Keyword(s):

Social Influence ◽

Analytical Hierarchy Process ◽

Behavioral Intention ◽

User Acceptance ◽

Acceptance Testing ◽

Performance Expectancy ◽

Effort Expectancy ◽

Simple Additive Weighting ◽

Use Behavior ◽

Hierarchy Process

Dalam menunjang pendidikan yang semakin luas di era globalisasi ini, perguruan tinggi diwajibkan memiliki dosen pengajar yang berkompeten dan memiliki sertifikasi dosen, namun sayangnya belum adanya tolak ukur penilaian kinerja dosen apakah telah memenuhi standar pendidikan. Tujuan dari penelitian ini yaitu merancang dan mengembangkan sistem pendukung keputusan dalam menilai kinerja dosen menggunakan metode Analytical Hierarchy Process (AHP) dan Simple Additive Weighting. Untuk menentukan kriteria dibutuhkan penghitungan menggunakan metode AHP (Analytical Hierarchy Process) dalam melakukan pembobotan kriteria dan subkriteria, bobot dari setiap kriteria menjadi tolak ukur untuk melakukan perangkingan alternatif dengan menggunakan metode SAW (Simple Additive Weighting). Kriteria yang digunakan yaitu : Pendidikan dan Pembelajaran (C1), Penelitian (C2), Pengabdian (C3), dan Pedagogik (C4) yang diperoleh dari Ristekdikti. Terdapat 34 Subkriteria dari total 4 kriteria untuk mengoptimalkan penilaian yang diperoleh dari Ristekdikti dan STMIK Atma Luhur sehingga lebih akurat dan objektif. Perancangan sistem bertujuan untuk memberikan penghargaan terhadap kinerja dosen sesuai UU No 14 tahun 2005 yaitu memberikan penghargaan maupun promosi kenaikan jabatan sesuai dengan kinerja akademik dosen. Pengujian User Acceptance terdiri dari 6 variabel dengan rincian 10 pertanyaan mengenai effort expectancy, performance expectancy, social influence, supporting facilitating, use behavior dan behavioral intention dengan rata-rata indeks persetujuan dari responden sebesar 80.21%.AbstractIn support of education, which grew rapidly in this era of globalization, higher education lecturers are required to have a competent and certified teachers,but do not yet have a benchmark for assessing the performance of lecturers whether they are in accordance with educational standards. The purpose of this research is to design and develop a decision support system in assessing the performance of lecturers using the Analytical Hierarchy Process (AHP) method and Simple Additive Weighting.To determine the criteria, it is required using AHP (Analytical Hierarchy Process) method in weighting criteria and subcriteria for each measurement can be more accurately, the value of each criteria to calculate the ranking use Simple Additive Weighting (SAW) method of several alternatives. The criteria are: Education and Learning (C1), Research (C2), Dedication (C3), and Pedagogik (C4) obtained from Ristekdikti. There are 34 Sub-criteria of a total of 4 criteria to optimize the assessment obtained from Ristekdikti and STMIK Atma Luhur to be more accurate and objective.The design of the system aims to give an award to the performance of lecturers in accordance with UU No. 14 2005 in giving awards and promotion in accordance with the academic performance of lecturers.User Acceptance testing consists of 6 variables, 10 questions about effort expectancy, performance expectancy, social influence, supporting facilitating, use behavior and behavioral intention with an average index of approval from respondents equal to 80.21%.

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