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Lumbangaol, Mataniari Budi
Analisis Faktor-faktor yang Mempengaruhi Behavioral Intention Siswa dalam Menggunakan Platform E-learning Zenius (Studi pada Pengguna Zenius Ultima di DKI Jakarta) = Analysis of Factors Determining Students’ Behavioral Intention in Using Zenius E-learning Platform (Study on Zenius Ultima Users in DKI Jakarta)
"Tujuan dari penelitian ini adalah untuk menganalisis pengaruh performance expectancy, effort expectancy, social influence, hedonic motivation, habit, self-efficacy, dan trust terhadap behavioral intention siswa di DKI Jakarta dalam menggunakan Zenius. Penelitian menggunakan pendekatan kuantitatif melalui metode survei berdasarkan purposive sampling terhadap populasi. Jumlah responden dalam penelitian ini adalah 100 orang yang didapatkan melalui online questionnaire. Data yang didapatkan diolah menggunakan SPSS dan Microsoft Excel 2016 melalui analisis statistik deskriptif dan analisis regresi berganda. Hasil dari penelitian ini menunjukkan bahwa performance expectancy, habit, dan trust memiliki pengaruh yang signifikan dan positif terhadap behavioral intention. Sementara itu, ditemukan bahwa effort expectancy, social influence, hedonic motivation, dan self-efficacy tidak memiliki pengaruh yang signifikan terhadap behavioral intention
The purpose of this study is to analyse the effect of performance expectancy, effort expectancy, social influence, hedonic motivation, habit, self-efficacy, and trust on behavioral intention of students in DKI Jakarta in using Zenius. The study used a quantitative approach through survey method based on purposive sampling of the population. The number of respondents in this study was 100 people who were obtained through an online questionnaire. The data obtained were processed using SPSS and Microsoft Excel 2016 through descriptive statistical analysis and multiple regression analysis. The results of this study indicate that the relationship between performance expectancy, habit, and trust has a significant and positive influence on behavioral intention. Meanwhile, it was found that effort expectancy, social influence, hedonic motivation, and self-efficacy did not have a significant effect on behavioral intention.
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Depok: Fakultas Ilmu Administrasi Universitas Indonesia, 2021
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UI - Skripsi Membership  Universitas Indonesia Library
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Dila Fitriza Rulevy
Analisis faktor-faktor yang mempengaruhi intention to use pada pengguna e-learning dengan pendekatan Technology Acceptance Model (TAM) = Analysis of factors that affect intention to use on e-learning users using Technology Acceptance Model (TAM) approach
"Saat ini, bentuk pembelajaran baru yang mengkombinasikan teknologi meningkat dalam beberapa tahun terakhir dan diproyeksikan akan meningkat lebih banyak di tahun-tahun mendatang. Tren pembelajaran baru ini telah digambarkan sebagai revolusi e-learning.  Beberapa penelitian terbaru menunjukkan bahwa sebagian besar program e-learning menunjukkan tingkat kegagalan yang lebih tinggi dibandingkan dengan metode pembelajaran tradisional. Mengingat semakin meningkatnya ketergantungan dan ketersediaan teknologi di dunia modern, dan potensi ekonomi yang tersedia untuk organisasi, sangat penting untuk memahami faktor-faktor yang dapat menyebabkan peningkatan adopsi e-learning dalam konteks organisasi. Studi ini akan melihat intensi karyawan untuk menggunakan e-learning, dengan mengembangkan Technologycal Acceptance Model (TAM) dengan melihat pengaruh dari faktor-faktor berikut, seperti learning goal orientation, management support, computer self efficacy, dan enjoyment. Penelitian ini dilakukan terhadap 213 responden penelitian di sebuah perusahaan yang memiliki e-learning dengan menggunakan kuesioner. Data yang didapatkan dianalisa menggunakan Structural Equation Modelling (SEM) dengan menggunakan software AMOS. Hasil menunjukkan bahwa dari empat variabel, learning goal orientation, dan enjoyment memiliki pengaruh positif signifikan terhadap perceived ease of use dan perceived usefulness yang berperan sebagai mediasi terhadap intention to use dalam Technologycal Acceptance Model (TAM). Selain itu, variabel tambahan yaitu satisfaction, yang diteliti langsung pengaruhnya terhadap intention to use juga menunjukkan pengaruh positif signifikan.
New form of learning that combines technology has increased in recent years and is projected to increase more in the coming years. This new learning trend has been described as an e-learning revolution. Some recent research shows that most e-learning programs show a higher failure rate compared to traditional learning methods. However, some researches proved that most e-learning programs showed a higher failure rate compared to traditional learning methods. Technology addiction and its availability in the modern world, and the economic potential for organizations, make it important to understand the factors that might lead to increase e-learning adoption in the organizational context. This study will see the intention of employees to use e-learning, by extending Technological Acceptance Model (TAM) using some other related factors, such as goal orientation learning, management support, computer self efficacy, and enjoyment. This study was conducted on 213 respondents in a company that owns e-learning using a questionnaire. Data obtained were analyzed using Structural Equation Modeling (SEM) using AMOS software. The results show that of the four variables, learning goal orientation, and enjoyment have a significant positive effect on perceived ease of use and perceived usefulness, which acts as mediation towards the intention to use in the Technological Acceptance Model (TAM). In addition, an additional variable, which is satisfaction, proved a significant positive effect to intention to use."
Depok: Fakultas Ekonomi dan Bisnis Universitas Indonesia, 2019
T54638
UI - Tesis Membership  Universitas Indonesia Library
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Aziz Hamdani
Analisis Faktor-Faktor yang Mempengaruhi Mahasiswa Universitas Indonesia dalam Menggunakan E-Learning Sebagai Media Pembelajaran Studi pada Student Centered E-Learning Environment (SCeLE) Universitas Indonesia = Analysis of Factors That Influence University of Indonesia Students in Using E-Learning as Learning Media Study in Student Centered E-Learning Environment (SCeLE) Universitas Indonesia
"ABSTRAK
Universitas Indonesia telah menyadari pentingnya peran kemajuan teknologi dalam pengembangan sistem pembelajaran dengan membentuk sistem pendidikan digital berupa Student Centered e-Learning Environment (SCeLE UI) sebagai media pembelajaran untuk para peserta didiknya. Tujuan utama dalam penelitian ini adalah untuk meningkatkan standar pendidikan dalam lingkungan Universitas dengan media digital. Faktor-faktor yang mempengaruhi niat perilaku mahasiswa (BI) untuk menggunakan e-learning untuk tujuan pendidikan dalam lingkungan universitas layak untuk dipelajari. Penelitian ini menggunakan empat faktor yaitu, teaching materials, instructor characteristic, information quality, dan content quality yang dirangkum oleh Abdullah dan Ward (2016) untuk menentukan faktor-faktor yang mempengaruhi BI mahasiswa sarjana untuk menggunakan sistem e-learning sebagai media pembelajaran. Data dikumpulkan dari 388 mahasiswa sarjana menggunakan teknik pengambilan sampel kuota dari 14 fakultas dan tanggapan dianalisis menggunakan Structural Equation Modeling (SEM). Hasil analisis mengindikasikan terdapat pengaruh dari teaching materials, dan content quality terhadap behavioral intention dari mahasiswa untuk menggunakan e-learning, behavioral intention terbukti memiliki pengaruh pada actual use dari e-learning.
ABSTRACT
Universitas Indonesia has realized the importance of technological advancements by establishing a digital education system in the form of a Student Centered e-Learning Environment (SCeLE UI). The main objective in this research is to improve the standard of education in the University environment with digital media. Factors that influence students' intention (BI) to use e-learning for educational purposes within a university environment are worth studying. This study uses four factors namely, instructional materials, instructor characteristics, information quality, and content quality summarized by Abdullah and Ward (2016) to determine the factors that influence BI undergraduate students to use e-learning systems as learning media. Data were collected from 388 undergraduate students using quota sampling techniques from 14 faculties and responses were analyzed using Structural Equation Modeling (SEM). The results of the analysis indicate there is an influence of teaching materials, and content quality on the behavioral intention of students to use e-learning, behavioral intention is proven to have an influence on actual use of e-learning."
Depok: Fakultas Ilmu Sosial dan Ilmu Politik Universitas Indonesia , 2020
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UI - Skripsi Membership  Universitas Indonesia Library
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Paskah Ponchius Kristian
Analisis Faktor-Faktor yang Mempengaruhi Continuance Intention Pengguna dalam Menggunakan Layanan Digital Pasca Pandemi COVID-19: Studi Kasus Layanan E-Health, E-Learning, E-Wallet = Analysis of Factors Influencing Users' Continuance Intention in Using Digital Services Post-COVID-19 Pandemic: Case Study of E-Health, E-Learning, E-Wallet
"Pandemi COVID-19 di Indonesia berdampak signifikan pada sektor kesehatan, pendidikan, dan ekonomi. Kebijakan physical distancing dan dorongan untuk beraktivitas dari rumah memaksa masyarakat beradaptasi dengan teknologi digital. Penelitian ini bertujuan mengeksplorasi faktor-faktor yang memengaruhi keberlanjutan penggunaan layanan digital e-health, e-learning, dan e-wallet pasca pandemi COVID-19 di Indonesia. Model eksploratif dalam penelitian ini mengadopsi Expectation-Confirmation Model, dengan tambahan konstruk dari kerangka kerja Task Technology Fit, trust, dan habit yang diadaptasi dari penelitian sebelumnya. Responden terdiri dari 312 pengguna ketiga layanan tersebut yang telah menggunakan layanan ini sejak pandemi COVID-19. Analisis dilakukan menggunakan metode Partial Least Square Structural Equation Modelling (PLS-SEM) dengan bantuan SmartPLS 3. Hasil penelitian menunjukkan bahwa task characteristics, technology characteristics, task-technology fit, confirmation, dan satisfaction memengaruhi niat keberlanjutan penggunaan pada semua layanan yang diteliti. Namun, terdapat perbedaan hasil pada keterhubungan antara perceived usefulness dan continuance intention pada layanan e-wallet yang ditolak, serta trust dan continuance intention pada layanan e-health yang juga ditolak. Faktor yang tidak terbukti hipotesisnya pada seluruh layanan yang diteliti adalah hubungan antara trust dengan satisfaction dan habit dengan continuance intention. Penelitian ini dapat menjadi acuan di Indonesia untuk membandingkan faktor-faktor yang memengaruhi niat pengguna dalam melanjutkan penggunaan layanan digital pada berbagai jenis layanan.
.The COVID-19 pandemic in Indonesia has significantly impacted the health, education, and economic sectors. Physical distancing policies and the push for home-based activities have compelled society to adapt to digital technologies. This study aims to explore the factors influencing the users continuance intention to use digital services such as e-health, e-learning, and e-wallets post-COVID-19 in Indonesia. The exploratory model in this study adopts the Expectation-Confirmation Model, supplemented with constructs from the Task Technology Fit framework, trust, and habit, adapted from previous research. Respondents consist of 312 users of these three services who have used them since the COVID-19 pandemic. The analysis was conducted using the Partial Least Square Structural Equation Modelling (PLS-SEM) method with the help of SmartPLS 3 software. The results indicate that task characteristics, technology characteristics, task-technology fit, confirmation, and satisfaction influence the sustained intention to use across all services studied. However, there were differences in the relationships, with the relationship between perceived usefulness and continuance intention being rejected for e-wallets, and the relationship between trust and continuance intention being rejected for e-health services. Factors that did not prove their hypotheses across all services studied are the relationships between trust and satisfaction and between habit and continuance intention. This study can enrich as a reference in Indonesia for comparing the factors influencing users' intention to continue using digital services across different types of services.  "
Depok: Fakultas Ilmu Komputer Universitas Indonesia, 2024
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UI - Skripsi Membership  Universitas Indonesia Library
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Nathasya Shalsabilla Putri
Analisis Faktor-Faktor yang Mempengaruhi Continuance Intention Pengguna dalam Menggunakan Layanan Digital Pasca Pandemi COVID-19: Studi Kasus Layanan E-Health, E-Learning, E-Wallet = Analysis of Factors Influencing Users' Continuance Intention in Using Digital Services Post-COVID-19 Pandemic: Case Study of E-Health, E-Learning, E-Wallet
"Pandemi COVID-19 di Indonesia berdampak signifikan pada sektor kesehatan, pendidikan, dan ekonomi. Kebijakan physical distancing dan dorongan untuk beraktivitas dari rumah memaksa masyarakat beradaptasi dengan teknologi digital. Penelitian ini bertujuan mengeksplorasi faktor-faktor yang memengaruhi keberlanjutan penggunaan layanan digital e-health, e-learning, dan e-wallet pasca pandemi COVID-19 di Indonesia. Model eksploratif dalam penelitian ini mengadopsi Expectation-Confirmation Model, dengan tambahan konstruk dari kerangka kerja Task Technology Fit, trust, dan habit yang diadaptasi dari penelitian sebelumnya. Responden terdiri dari 312 pengguna ketiga layanan tersebut yang telah menggunakan layanan ini sejak pandemi COVID-19. Analisis dilakukan menggunakan metode Partial Least Square Structural Equation Modelling (PLS-SEM) dengan bantuan SmartPLS 3. Hasil penelitian menunjukkan bahwa task characteristics, technology characteristics, task-technology fit, confirmation, dan satisfaction memengaruhi niat keberlanjutan penggunaan pada semua layanan yang diteliti. Namun, terdapat perbedaan hasil pada keterhubungan antara perceived usefulness dan continuance intention pada layanan e-wallet yang ditolak, serta trust dan continuance intention pada layanan e-health yang juga ditolak. Faktor yang tidak terbukti hipotesisnya pada seluruh layanan yang diteliti adalah hubungan antara trust dengan satisfaction dan habit dengan continuance intention. Penelitian ini dapat menjadi acuan di Indonesia untuk membandingkan faktor-faktor yang memengaruhi niat pengguna dalam melanjutkan penggunaan layanan digital pada berbagai jenis layanan.
The COVID-19 pandemic in Indonesia has significantly impacted the health, education, and economic sectors. Physical distancing policies and the push for home-based activities have compelled society to adapt to digital technologies. This study aims to explore the factors influencing the users continuance intention to use digital services such as e-health, e-learning, and e-wallets post-COVID-19 in Indonesia. The exploratory model in this study adopts the Expectation-Confirmation Model, supplemented with constructs from the Task Technology Fit framework, trust, and habit, adapted from previous research. Respondents consist of 312 users of these three services who have used them since the COVID-19 pandemic. The analysis was conducted using the Partial Least Square Structural Equation Modelling (PLS-SEM) method with the help of SmartPLS 3 software. The results indicate that task characteristics, technology characteristics, task-technology fit, confirmation, and satisfaction influence the sustained intention to use across all services studied. However, there were differences in the relationships, with the relationship between perceived usefulness and continuance intention being rejected for e-wallets, and the relationship between trust and continuance intention being rejected for e-health services. Factors that did not prove their hypotheses across all services studied are the relationships between trust and satisfaction and between habit and continuance intention. This study can enrich as a reference in Indonesia for comparing the factors influencing users' intention to continue using digital services across different types of services."
Depok: Fakultas Ilmu Komputer Universitas Indonesia, 2024
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UI - Skripsi Membership  Universitas Indonesia Library
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Nyoman Bagus Nuartha Dananjaya
Analisis Faktor-Faktor yang Memengaruhi Continuance Intention Pengguna dalam Menggunakan Layanan Digital Pasca Pandemi COVID19: Studi Kasus Layanan E-Health, E-Learning, E-Wallet = Analysis of Factors Influencing Users' Continuance Intention in Using Digital Services Post-COVID-19 Pandemic: Case Study of E-Health, E-Learning, E-Wallet
"Pandemi COVID-19 di Indonesia berdampak signifikan pada sektor kesehatan, pendidikan, dan ekonomi. Kebijakan physical distancing dan dorongan untuk beraktivitas dari rumah memaksa masyarakat beradaptasi dengan teknologi digital. Penelitian ini bertujuan mengeksplorasi faktor-faktor yang memengaruhi keberlanjutan penggunaan layanan digital e-health, e-learning, dan e-wallet pasca pandemi COVID-19 di Indonesia. Model eksploratif dalam penelitian ini mengadopsi Expectation-Confirmation Model, dengan tambahan konstruk dari kerangka kerja Task Technology Fit, trust, dan habit yang diadaptasi dari penelitian sebelumnya. Responden terdiri dari 312 pengguna ketiga layanan tersebut yang telah menggunakan layanan ini sejak pandemi COVID-19. Analisis dilakukan menggunakan metode Partial Least Square Structural Equation Modelling (PLS-SEM) dengan bantuan SmartPLS 3. Hasil penelitian menunjukkan bahwa task characteristics, technology characteristics, task-technology fit, confirmation, dan satisfaction memengaruhi niat keberlanjutan penggunaan pada semua layanan yang diteliti. Namun, terdapat perbedaan hasil pada keterhubungan antara perceived usefulness dan continuance intention pada layanan e-wallet yang ditolak, serta trust dan continuance intention pada layanan e-health yang juga ditolak. Faktor yang tidak terbukti hipotesisnya pada seluruh layanan yang diteliti adalah hubungan antara trust dengan satisfaction dan habit dengan continuance intention. Penelitian ini dapat menjadi acuan di Indonesia untuk membandingkan faktor-faktor yang memengaruhi niat pengguna dalam melanjutkan penggunaan layanan digital pada berbagai jenis layanan.
The COVID-19 pandemic in Indonesia has significantly impacted the health, education, and economic sectors. Physical distancing policies and the push for home-based activities have compelled society to adapt to digital technologies. This study aims to explore the factors influencing the users continuance intention to use digital services such as e-health, e-learning, and e-wallets post-COVID-19 in Indonesia. The exploratory model in this study adopts the Expectation-Confirmation Model, supplemented with constructs from the Task Technology Fit framework, trust, and habit, adapted from previous research. Respondents consist of 312 users of these three services who have used them since the COVID-19 pandemic. The analysis was conducted using the Partial Least Square Structural Equation Modelling (PLS-SEM) method with the help of SmartPLS 3 software. The results indicate that task characteristics, technology characteristics, task-technology fit, confirmation, and satisfaction influence the sustained intention to use across all services studied. However, there were differences in the relationships, with the relationship between perceived usefulness and continuance intention being rejected for e-wallets, and the relationship between trust and continuance intention being rejected for e-health services. Factors that did not prove their hypotheses across all services studied are the relationships between trust and satisfaction and between habit and continuance intention. This study can enrich as a reference in Indonesia for comparing the factors influencing users' intention to continue using digital services across different types of services. "
Depok: Fakultas Ilmu Komputer Universitas Indonesia, 2024
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UI - Skripsi Membership  Universitas Indonesia Library
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Levitasari Darmawan
Faktor-Faktor Yang Memengaruhi Niat Perilaku Pekerja Untuk Mengadopsi Penggunaan Platform E-Learning = Factors that Influence Workers' Behavioral Intentions to Adopt The Use of E-Learning Platforms
"Tesis ini meneliti tentang niat perilaku pekerja untuk mengadopsi penggunaan platform e-learning. Faktor-faktor yang dapat mempengaruhi niat perilaku dari Diffusion Innovation Theory, Technology Acceptance Model, dan Value Based Adoption Model digunakan dalam penelitian ini, seperti Relative Advantage, Compatibility, Trialability, Observability, dan Complexity, Perceived ease of use, Perceived usefulness, Perceived Value, dan Behavioral Intention to use. Melalui metode kuantitatif survei kuesioner, sebanyak 245 responden pengguna platform e-learning berpartisipasi dalam penelitian ini, dan selanjutnya data diolah menggunakan metode SEM-PLS. Hasilnya faktor Trialability dan Observability secara signifikan berpengaruh terhadap niat perilaku pekerja dalam mengadopsi penggunaan platform e-learning. Kemudian dari uji statistik pengaruh tidak langsung, empat karakteristik inovasi yaitu Relative Advantage, Compatibility, Trialability dan Observability yang dimediasi oleh Perceived Usefulness dan Perceived Value memiliki pengaruh tidak langsung yang signifikan terhadap Behavioral Intention to use. Selain itu, faktor Perceived value terbukti menjadi mediator penting antara Perceived usefulness dan Behavioral intention of use dalam penggunaan platform e-learning.
This thesis examines the behavioral intentions of workers to adopt the use of e-learning platforms. Factors that can influence behavioral intentions from Diffusion Innovation Theory, Technology Acceptance Model, and Value Based Adoption Model used in this research, such as Relative Advantage, Compatibility, Trialability, Observability, and Complexity, Perceived ease of use, Perceived usefulness, Perceived Value, and Behavioral Intention to use. Through a quantitative questionnaire survey method, 245 respondents using e-learning platforms participated in this research, and then the data was processed using the SEM-PLS method. As a result, the Trialability and Observability factors significantly influence workers' behavioral intentions in adopting the use of e-learning platforms. Then, from the statistical test of indirect influence, four innovation characteristics, namely Relative Advantage, Compatibility, Trialability and Observability which are mediated by Perceived Usefulness and Perceived Value, have a significant indirect influence on Behavioral Intention to use. In addition, the Perceived value factor is proven to be an important mediator between Perceived usefulness and Behavioral intention of use in using e-learning platforms."
Jakarta: Fakultas Ilmu Sosial dan Ilmu Politik Universitas Indonesia, 2024
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UI - Tesis Membership  Universitas Indonesia Library
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Muhammad Hasbi
Analisis Faktor-Faktor yang Memengaruhi Behavioral Intention to Use Platform Social Commerce oleh Usaha Mikro Kecil Menengah di Indonesia Menggunakan Teori Technology Affordance = Analysis of Factors Influencing Behavioral Intention to Use Social Commerce Platforms by Micro Small Medium Enterprises in Indonesia Using Technology Affordance Theory
"Transformasi Facebook, Instagram, dan Tiktok yang semulanya digunakan untuk bersosialisasi kini telah dimanfaatkan sebagai social commerce (s-commerce) untuk berjualan. Ketiga platform tersebut berhasil menduduki posisi s-commerce dengan popularitas tertinggi namun sayangnya belum banyak UMKM yang memanfaatkannya untuk meningkatkan proses bisnis mereka. Kebutuhan UMKM dieksplorasi menggunakan technology affordance untuk meningkatkan perilaku intensi penggunaan s-commerce dari UMKM yang kemudian diintegrasikan dengan model Innovation Diffusion Theory (IDT) untuk mengetahui faktor-faktor yang memengaruhi intensi perilaku penggunaan s-commerce pada UMKM. Penelitian ini dilakukan menggunakan pendekatan mixed-method dengan 10 responden wawancara daring dan 470 responden kuesioner dimana kedua jenis narasumber merupakan pelaku UMKM yang telah menggunakan s-commerce untuk menunjang kegiatan bisnisnya. Didapatkan lima konstruk technology affordance dari s-commerce, diantaranya adalah metavoicing, brand visibility, monitorability, customer shopping guidance, dan association. Pengolahan data dilakukan secara kuantitatif menggunakan metode Structural Equation Model Partial Least Square (PLS-SEM). Hasil analisis kuantitatif menunjukkan bahwa relative advantage, compatibility, dan complexity berhasil memengaruhi intensi perilaku penggunaan s-commerce oleh UMKM secara signifikan. Relative advantage dan complexity sama-sama dipengaruhi oleh seluruh aspek technology affordance, namun relative advantage dipengaruhi paling kuat oleh brand visibility sedangkan complexity dipengaruhi paling kuat oleh customer shopping guidance. Berbeda dengan relative advantage dan complexity, compatibility hanya memiliki tiga aspek technology affordance yang memengaruhi secara signifikan, yaitu metavoicing, brand visibility, dan customer shopping guidance. Pengembangan lanjutan dari penelitian ini dapat memperdalam kegunaan platform s-commerce serta memberikan implikasi berupa saran pengembangan fitur enhanced chat bot, katalog, dan kustomisasi ads agar dapat dikembangkan sesuai kebutuhan pengguna.
The transformation of Facebook, Instagram and Tiktok, which were originally used for socializing, has now been used as social commerce (s-commerce) for sales. The three platforms successfully occupied s-commerce's position with the highest popularity but unfortunately not many MSME have used it to improve their business processes. MSME’s need are explored using state-of-the-art of technology affordance to build s-commerce behavior from MSME, then integrated with Innovation Diffusion Theory (IDT) models to identify factors that influence the behavioral intention to use s-commerce in MSMEs. This study was conducted using a mixed-method approach of 10 online interview respondents and 470 online questionnaire respondents whom both types of respondents are MSME actors who are likely to used s-commerce to support their business activities. Five technology affordance constructs were obtained from s-commerce, including metavoicing, brand visibility, monitorability, customer shopping guidance, and association. Furthermore, quantitative data processing used the Structural Equation Model Partial Least Square called PLS-SEM method. The results of the quantitative analysis show that relative advantage, compatibility, and complexity have succeeded in significantly influencing the behavioral intention to use s-commerce by MSMEs. Relative advantage and complexity are both influenced by all aspects of technology affordance, but relative advantage is most strongly influenced by brand visibility while complexity is most strongly influenced by customer shopping guidance. In contrast to relative advantage and complexity, compatibility has only three aspects of technology affordance that significantly affect them, namely metavoicing, brand visibility, and customer shopping guidance. Further development of this research can deepen the use of s-commerce platforms and provide implications in the form of suggestions for developing enhanced chat bot features, catalogs, and ad customization so that they can be developed according to user needs."
Depok: Fakultas Ilmu Komputer Universitas Indonesia, 2023
S-pdf
UI - Skripsi Membership  Universitas Indonesia Library
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Faatihah Tharra Sabbih
Analisis Faktor-Faktor yang Memengaruhi Behavioral Intention to Use Platform Social Commerce oleh Usaha Mikro Kecil Menengah di Indonesia Menggunakan Teori Technology Affordance = Analysis of Factors Influencing Behavioral Intention to Use Social Commerce Platforms by Micro Small Medium Enterprises in Indonesia Using Technology Affordance Theory
"Transformasi Facebook, Instagram, dan Tiktok yang semulanya digunakan untuk bersosialisasi kini telah dimanfaatkan sebagai social commerce (s-commerce) untuk berjualan. Ketiga platform tersebut berhasil menduduki posisi s-commerce dengan popularitas tertinggi namun sayangnya belum banyak UMKM yang memanfaatkannya untuk meningkatkan proses bisnis mereka. Kebutuhan UMKM dieksplorasi menggunakan technology affordance untuk meningkatkan perilaku intensi penggunaan s-commerce dari UMKM yang kemudian diintegrasikan dengan model Innovation Diffusion Theory (IDT) untuk mengetahui faktor-faktor yang memengaruhi intensi perilaku penggunaan s-commerce pada UMKM. Penelitian ini dilakukan menggunakan pendekatan mixed-method dengan 10 responden wawancara daring dan 470 responden kuesioner dimana kedua jenis narasumber merupakan pelaku UMKM yang telah menggunakan s-commerce untuk menunjang kegiatan bisnisnya. Didapatkan lima konstruk technology affordance dari s-commerce, diantaranya adalah metavoicing, brand visibility, monitorability, customer shopping guidance, dan association. Pengolahan data dilakukan secara kuantitatif menggunakan metode Structural Equation Model Partial Least Square (PLS-SEM). Hasil analisis kuantitatif menunjukkan bahwa relative advantage, compatibility, dan complexity berhasil memengaruhi intensi perilaku penggunaan s-commerce oleh UMKM secara signifikan. Relative advantage dan complexity sama-sama dipengaruhi oleh seluruh aspek technology affordance, namun relative advantage dipengaruhi paling kuat oleh brand visibility sedangkan complexity dipengaruhi paling kuat oleh customer shopping guidance. Berbeda dengan relative advantage dan complexity, compatibility hanya memiliki tiga aspek technology affordance yang memengaruhi secara signifikan, yaitu metavoicing, brand visibility, dan customer shopping guidance. Pengembangan lanjutan dari penelitian ini dapat memperdalam kegunaan platform s-commerce serta memberikan implikasi berupa saran pengembangan fitur enhanced chat bot, katalog, dan kustomisasi ads agar dapat dikembangkan sesuai kebutuhan pengguna.
The transformation of Facebook, Instagram and Tiktok, which were originally used for socializing, has now been used as social commerce (s-commerce) for sales. The three platforms successfully occupied s-commerce's position with the highest popularity but unfortunately not many MSME have used it to improve their business processes. MSME’s need are explored using state-of-the-art of technology affordance to build s-commerce behavior from MSME, then integrated with Innovation Diffusion Theory (IDT) models to identify factors that influence the behavioral intention to use s-commerce in MSMEs. This study was conducted using a mixed-method approach of 10 online interview respondents and 470 online questionnaire respondents whom both types of respondents are MSME actors who are likely to used s-commerce to support their business activities. Five technology affordance constructs were obtained from s-commerce, including metavoicing, brand visibility, monitorability, customer shopping guidance, and association. Furthermore, quantitative data processing used the Structural Equation Model Partial Least Square called PLS-SEM method. The results of the quantitative analysis show that relative advantage, compatibility, and complexity have succeeded in significantly influencing the behavioral intention to use s-commerce by MSMEs. Relative advantage and complexity are both influenced by all aspects of technology affordance, but relative advantage is most strongly influenced by brand visibility while complexity is most strongly influenced by customer shopping guidance. In contrast to relative advantage and complexity, compatibility has only three aspects of technology affordance that significantly affect them, namely metavoicing, brand visibility, and customer shopping guidance. Further development of this research can deepen the use of s-commerce platforms and provide implications in the form of suggestions for developing enhanced chat bot features, catalogs, and ad customization so that they can be developed according to user needs."
Depok: Fakultas Ilmu Komputer Universitas Indonesia, 2023
S-pdf
UI - Skripsi Membership  Universitas Indonesia Library
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Fadiya Latifah
Analisis Faktor-Faktor yang Memengaruhi Behavioral Intention to Use Platform Social Commerce oleh Usaha Mikro Kecil Menengah di Indonesia Menggunakan Teori Technology Affordance = Analysis of Factors Influencing Behavioral Intention to Use Social Commerce Platforms by Micro Small Medium Enterprises in Indonesia Using Technology Affordance Theory
"Transformasi Facebook, Instagram, dan Tiktok yang semulanya digunakan untuk bersosialisasi kini telah dimanfaatkan sebagai social commerce (s-commerce) untuk berjualan. Ketiga platform tersebut berhasil menduduki posisi s-commerce dengan popularitas tertinggi namun sayangnya belum banyak UMKM yang memanfaatkannya untuk meningkatkan proses bisnis mereka. Kebutuhan UMKM dieksplorasi menggunakan technology affordance untuk meningkatkan perilaku intensi penggunaan s-commerce dari UMKM yang kemudian diintegrasikan dengan model Innovation Diffusion Theory (IDT) untuk mengetahui faktor-faktor yang memengaruhi intensi perilaku penggunaan s-commerce pada UMKM. Penelitian ini dilakukan menggunakan pendekatan mixed-method dengan 10 responden wawancara daring dan 470 responden kuesioner dimana kedua jenis narasumber merupakan pelaku UMKM yang telah menggunakan s-commerce untuk menunjang kegiatan bisnisnya. Didapatkan lima konstruk technology affordance dari s-commerce, diantaranya adalah metavoicing, brand visibility, monitorability, customer shopping guidance, dan association. Pengolahan data dilakukan secara kuantitatif menggunakan metode Structural Equation Model Partial Least Square (PLS-SEM). Hasil analisis kuantitatif menunjukkan bahwa relative advantage, compatibility, dan complexity berhasil memengaruhi intensi perilaku penggunaan s-commerce oleh UMKM secara signifikan. Relative advantage dan complexity sama-sama dipengaruhi oleh seluruh aspek technology affordance, namun relative advantage dipengaruhi paling kuat oleh brand visibility sedangkan complexity dipengaruhi paling kuat oleh customer shopping guidance. Berbeda dengan relative advantage dan complexity, compatibility hanya memiliki tiga aspek technology affordance yang memengaruhi secara signifikan, yaitu metavoicing, brand visibility, dan customer shopping guidance. Pengembangan lanjutan dari penelitian ini dapat memperdalam kegunaan platform s-commerce serta memberikan implikasi berupa saran pengembangan fitur enhanced chat bot, katalog, dan kustomisasi ads agar dapat dikembangkan sesuai kebutuhan pengguna.
The transformation of Facebook, Instagram and Tiktok, which were originally used for socializing, has now been used as social commerce (s-commerce) for sales. The three platforms successfully occupied s-commerce's position with the highest popularity but unfortunately not many MSME have used it to improve their business processes. MSME’s need are explored using state-of-the-art of technology affordance to build s-commerce behavior from MSME, then integrated with Innovation Diffusion Theory (IDT) models to identify factors that influence the behavioral intention to use s-commerce in MSMEs. This study was conducted using a mixed-method approach of 10 online interview respondents and 470 online questionnaire respondents whom both types of respondents are MSME actors who are likely to used s-commerce to support their business activities. Five technology affordance constructs were obtained from s-commerce, including metavoicing, brand visibility, monitorability, customer shopping guidance, and association. Furthermore, quantitative data processing used the Structural Equation Model Partial Least Square called PLS-SEM method. The results of the quantitative analysis show that relative advantage, compatibility, and complexity have succeeded in significantly influencing the behavioral intention to use s-commerce by MSMEs. Relative advantage and complexity are both influenced by all aspects of technology affordance, but relative advantage is most strongly influenced by brand visibility while complexity is most strongly influenced by customer shopping guidance. In contrast to relative advantage and complexity, compatibility has only three aspects of technology affordance that significantly affect them, namely metavoicing, brand visibility, and customer shopping guidance. Further development of this research can deepen the use of s-commerce platforms and provide implications in the form of suggestions for developing enhanced chat bot features, catalogs, and ad customization so that they can be developed according to user needs."
Depok: Fakultas Ilmu Komputer Universitas Indonesia, 2023
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