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Abstrak :
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.

Abstrak :
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.

Abstrak :
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.

Abstrak :
Aplikasi cloud Point of Sale (POS) merupakan teknologi yang terlibat dalam melakukan pencatatan penjualan, pembayaran, serta proses yang berkaitan di dalamnya dengan memanfaatkan penyimpanan data di internet. Kegunaan dari aplikasi cloud POS memberikan manfaat yang cukup besar bagi Usaha Mikro Kecil Menengah (UMKM) dalam menjalankan usahanya. Dengan mengintegrasikan teori technology affordance dan teori Unified Theory of Acceptance and Use of The Technology 2 (UTAUT2), penelitian ini mengidentifikasi faktor-faktor technology affordance dari aplikasi cloud POS dan faktor-faktor yang memengaruhi intensi penggunaan aplikasi cloud POS pada pelaku UMKM. Penelitian ini dilakukan dengan mixed-method. Penelitian kualitatif dilakukan dengan melakukan wawancara bersama 10 narasumber pelaku UMKM yang telah menggunakan aplikasi cloud POS. Pengolahan data kualitatif dilakukan dengan menggunakan grounded theory. Kemudian, dilanjutkan dengan penelitian kuantitatif dilakukan dengan menyebarkan kuesioner online dengan 243 responden pelaku UMKM yang telah menggunakan aplikasi cloud POS dan diolah dengan metode Structural Equation Model Partial Least Square (PLS-SEM). Penelitian ini berhasil mengidentifikasi technology affordance aplikasi cloud POS berupa monitorability, recordability, transactionability, decision supportability, dan accessibility. Melalui uji PLS-SEM, penelitian ini menunjukkan jika performance expectancy, effort expectancy, facilitating condition, social influence, dan price value memengaruhi intention to adopt. Selain itu, ditemukan juga bahwa pelaku UMKM di Indonesia masih kurang sadar terkait adanya risiko dari penggunaan teknologi cloud. ......Cloud Point of Sale (POS) application is a technology that is involved in recording sales, payments, and processes related to it by utilizing data storage on the internet. The use of the cloud POS application provides considerable benefits for Micro, Small, and Medium Enterprises (MSMEs) in running their business. By integrating technology affordance and Unified Theory of Acceptance and Use of The Technology 2 (UTAUT2), this study identifies the technology affordance factors of the cloud POS application and the factors that influence the intention to use the cloud POS application among MSME actors. This research was conducted with mixed-methods. Qualitative research was conducted by interviewing 10 MSME actors who have used the cloud POS application. Qualitative data processing is done by using grounded theory. Then, it was followed by quantitative research conducted by distributing online questionnaires with 243 MSME respondents who had used the cloud POS application and processed it using the Structural Equation Model Partial Least Square (PLS-SEM) method. This research successfully identifies the technology affordance of the cloud POS application in the form of monitorability, recordability, transactionability, decision supportability, and accessibility. Through the PLS-SEM test, this research shows that performance expectancy, effort expectancy, facilitating condition, social influence, and price value affect the intention to adopt. In addition, it was also found that MSME actors in Indonesia are still not aware of the risks associated with using cloud technology.

Abstrak :
Aplikasi cloud Point of Sale (POS) merupakan teknologi yang terlibat dalam melakukan pencatatan penjualan, pembayaran, serta proses yang berkaitan di dalamnya dengan memanfaatkan penyimpanan data di internet. Kegunaan dari aplikasi cloud POS memberikan manfaat yang cukup besar bagi Usaha Mikro Kecil Menengah (UMKM) dalam menjalankan usahanya. Dengan mengintegrasikan teori technology affordance dan teori Unified Theory of Acceptance and Use of The Technology 2 (UTAUT2), penelitian ini mengidentifikasi faktor-faktor technology affordance dari aplikasi cloud POS dan faktor-faktor yang memengaruhi intensi penggunaan aplikasi cloud POS pada pelaku UMKM. Penelitian ini dilakukan dengan mixed-method. Penelitian kualitatif dilakukan dengan melakukan wawancara bersama 10 narasumber pelaku UMKM yang telah menggunakan aplikasi cloud POS. Pengolahan data kualitatif dilakukan dengan menggunakan grounded theory. Kemudian, dilanjutkan dengan penelitian kuantitatif dilakukan dengan menyebarkan kuesioner online dengan 243 responden pelaku UMKM yang telah menggunakan aplikasi cloud POS dan diolah dengan metode Structural Equation Model Partial Least Square (PLS-SEM). Penelitian ini berhasil mengidentifikasi technology affordance aplikasi cloud POS berupa monitorability, recordability, transactionability, decision supportability, dan accessibility. Melalui uji PLS-SEM, penelitian ini menunjukkan jika performance expectancy, effort expectancy, facilitating condition, social influence, dan price value memengaruhi intention to adopt. Selain itu, ditemukan juga bahwa pelaku UMKM di Indonesia masih kurang sadar terkait adanya risiko dari penggunaan teknologi cloud. ......Cloud Point of Sale (POS) application is a technology that is involved in recording sales, payments, and processes related to it by utilizing data storage on the internet. The use of the cloud POS application provides considerable benefits for Micro, Small, and Medium Enterprises (MSMEs) in running their business. By integrating technology affordance and Unified Theory of Acceptance and Use of The Technology 2 (UTAUT2), this study identifies the technology affordance factors of the cloud POS application and the factors that influence the intention to use the cloud POS application among MSME actors. This research was conducted with mixed-methods. Qualitative research was conducted by interviewing 10 MSME actors who have used the cloud POS application. Qualitative data processing is done by using grounded theory. Then, it was followed by quantitative research conducted by distributing online questionnaires with 243 MSME respondents who had used the cloud POS application and processed it using the Structural Equation Model Partial Least Square (PLS-SEM) method. This research successfully identifies the technology affordance of the cloud POS application in the form of monitorability, recordability, transactionability, decision supportability, and accessibility. Through the PLS-SEM test, this research shows that performance expectancy, effort expectancy, facilitating condition, social influence, and price value affect the intention to adopt. In addition, it was also found that MSME actors in Indonesia are still not aware of the risks associated with using cloud technology.

Abstrak :
TikTok live shopping merupakan suatu platform belanja secara real-time dimana streamer dapat terhubung dan berinteraksi dengan pembeli secara langsung melalui konten live streaming pada TikTok. Platform live stream commerce ini sedang naik tren, namun masih sedikit penelitian yang membahas faktor-faktor yang memengaruhi perilaku pembelian impulsif di platform ini. Pembelian impulsif merupakan hal yang penting karena dinilai sebagai salah satu kunci kesuksesan transaksi pada e-commerce. Oleh karena itu, penelitian ini mencoba untuk mencari tahu faktor-faktor apa saja yang memengaruhi pembelian impulsif menggunakan teori flow dan parasocial relationship.Pada penelitian ini, faktor technology affordance dan faktor stream dimension dipilih sebagai anteseden dari flow untuk mengetahui apakah teknologi pada TikTok live shopping dapat memengaruhi perilaku pengguna. Sementara itu, source credibility model dipilih sebagai anteseden dari teori parasocial relationship untuk mengetahui apakah faktor eksternal dapat memengaruhi perilaku pengguna. Penelitian dilakukan menggunakan metode campuran dengan pendekatan kuantitatif dan kualitatif. Pendekatan kuantitatif dilakukan dengan metode covariance-based structural equation modelling (CB-SEM) dengan menggunakan survei daring yang diisi oleh 608 responden valid. Pendekatan kualitatif dengan wawancara telah dilakukan kepada sepuluh responden untuk memvalidasi hasil kuantitatif. Hasil analisis membuktikan bahwa teori flow dan parasocial relationship memberikan pengaruh signifikan terhadap perilaku pembelian impulsif; semua faktor pada source credibility model memengaruhi parasocial relationship; dan hanya perceived effortlessness serta interactivity yang memberikan pengaruh pada flow. Penelitian ini berimplikasi teoretis dengan mengisi kekosongan penelitian mengenai pembelian impulsif pada live stream commerce khususnya TikTok live shopping. Penelitian ini memiliki implikasi praktis bagi pelaku industri live stream commerce untuk mengimplementasi fitur yang sesuai dan mengatur strategi bisnis yang tepat. ......TikTok live shopping is a real-time shopping platform where streamers can connect and interact with buyers directly through live streaming content on TikTok. There are still not many studies that discuss the factors that influence impulsive buying behavior on TikTok live shopping. “E-commerce live streaming” is regarded as the latest trend of e-commerce, and impulse buying is a key factor in the success of transactions. Therefore, this study tries to determine what factors influence impulsive buying using the flow theory and parasocial relationships. In this study, the technology factor (technology affordance) and the stream dimension factor were chosen as the antecedents of flow to find out whether technology in TikTok live shopping can affect user behavior. Meanwhile, the source credibility model was chosen as an antecedent of the parasocial relationship theory to determine whether external factors can influence user behavior. The research was conducted using mixed methods with quantitative and qualitative approaches. The quantitative approach was carried out using the covariance-based structural equation modeling (CB-SEM) method using an online questionnaire survey and a total of 608 valid questionnaires were collected. The qualitative approach using interviews have been conducted to 10 respondents to validate the quantitative results. Research results show that flow and parasocial relationship theory have a significant influence on impulsive buying behavior; all factors in the source credibility model affect parasocial relationships; and only perceived effortlessness and interactivity have an effect on flow. This research provides theoretical implications by completing the research gap regarding impulse buying on live stream commerce, especially TikTok live shopping. This research provides practical implications for live stream commerce industry stakeholders to implement appropriate features and set the right business strategy.

Abstrak :
TikTok live shopping merupakan suatu platform belanja secara real-time dimana streamer dapat terhubung dan berinteraksi dengan pembeli secara langsung melalui konten live streaming pada TikTok. Platform live stream commerce ini sedang naik tren, namun masih sedikit penelitian yang membahas faktor-faktor yang memengaruhi perilaku pembelian impulsif di platform ini. Pembelian impulsif merupakan hal yang penting karena dinilai sebagai salah satu kunci kesuksesan transaksi pada e-commerce. Oleh karena itu, penelitian ini mencoba untuk mencari tahu faktor-faktor apa saja yang memengaruhi pembelian impulsif menggunakan teori flow dan parasocial relationship.Pada penelitian ini, faktor technology affordance dan faktor stream dimension dipilih sebagai anteseden dari flow untuk mengetahui apakah teknologi pada TikTok live shopping dapat memengaruhi perilaku pengguna. Sementara itu, source credibility model dipilih sebagai anteseden dari teori parasocial relationship untuk mengetahui apakah faktor eksternal dapat memengaruhi perilaku pengguna. Penelitian dilakukan menggunakan metode campuran dengan pendekatan kuantitatif dan kualitatif. Pendekatan kuantitatif dilakukan dengan metode covariance-based structural equation modelling (CB-SEM) dengan menggunakan survei daring yang diisi oleh 608 responden valid. Pendekatan kualitatif dengan wawancara telah dilakukan kepada sepuluh responden untuk memvalidasi hasil kuantitatif. Hasil analisis membuktikan bahwa teori flow dan parasocial relationship memberikan pengaruh signifikan terhadap perilaku pembelian impulsif; semua faktor pada source credibility model memengaruhi parasocial relationship; dan hanya perceived effortlessness serta interactivity yang memberikan pengaruh pada flow. Penelitian ini berimplikasi teoretis dengan mengisi kekosongan penelitian mengenai pembelian impulsif pada live stream commerce khususnya TikTok live shopping. Penelitian ini memiliki implikasi praktis bagi pelaku industri live stream commerce untuk mengimplementasi fitur yang sesuai dan mengatur strategi bisnis yang tepat. ......TikTok live shopping is a real-time shopping platform where streamers can connect and interact with buyers directly through live streaming content on TikTok. There are still not many studies that discuss the factors that influence impulsive buying behavior on TikTok live shopping. “E-commerce live streaming” is regarded as the latest trend of e-commerce, and impulse buying is a key factor in the success of transactions. Therefore, this study tries to determine what factors influence impulsive buying using the flow theory and parasocial relationships. In this study, the technology factor (technology affordance) and the stream dimension factor were chosen as the antecedents of flow to find out whether technology in TikTok live shopping can affect user behavior. Meanwhile, the source credibility model was chosen as an antecedent of the parasocial relationship theory to determine whether external factors can influence user behavior. The research was conducted using mixed methods with quantitative and qualitative approaches. The quantitative approach was carried out using the covariance-based structural equation modeling (CB-SEM) method using an online questionnaire survey and a total of 608 valid questionnaires were collected. The qualitative approach using interviews have been conducted to 10 respondents to validate the quantitative results. Research results show that flow and parasocial relationship theory have a significant influence on impulsive buying behavior; all factors in the source credibility model affect parasocial relationships; and only perceived effortlessness and interactivity have an effect on flow. This research provides theoretical implications by completing the research gap regarding impulse buying on live stream commerce, especially TikTok live shopping. This research provides practical implications for live stream commerce industry stakeholders to implement appropriate features and set the right business strategy.

Abstrak :
Pandemi Coronavirus Disease of 2019 (COVID-19), yang masuk ke Indonesia di tahun 2020, menyebabkan pemerintah Indonesia memberlakukan program pembatasan sosial yang menyebabkan penerapan kebijakan pelaksanaan pekerjaan perusahaan, yaitu menjadi bekerja dari rumah atau work from home (WFH). Hal ini mengharuskan perusahaan untuk menggunakan aplikasi video conference guna menjaga keberlangsungan komunikasi antar pekerjanya. Penelitian ini bertujuan untuk menjelaskan faktor-faktor yang memengaruhi niat keberlanjutan penggunaan aplikasi video conference di lingkungan pekerjaan pasca pandemi. Penelitian ini menggunakan mix-method yang terdiri dari pendekatan kualitatif dan kuantitatif. Pendekatan kualitatif dilakukan untuk merancang model dan mengeksplorasi technology affordance yang sesuai dengan aplikasi video conference. Pendekatan kuantitatif dilakukan untuk menguji hipotesis dengan menggunakan metode PLS-SEM. Data responden penelitian ini berjumlah 457 responden. Penelitian ini menggabungkan teori technology affordance, task-technology fit, dan expectation-confirmation model. Penulis menemukan technology affordance dari aplikasi video conference yaitu communication affordance, sharing resource affordance, collaborative working affordance, dan social presence affordance. Hasil dari penelitian ini adalah task characteristic dan technology affordance memiliki pengaruh positif pada perceived task-technology fit (TTF). Kemudian, TTF memiliki pengaruh positif terhadap continuance intention secara langsung dan tidak langsung melalui perceived usefulness, confirmation, dan satisfaction. Dalam penelitian ini juga ditemukan bahwa semua post acceptance variable dalam ECM terbukti. Terakhir, penelitian ini juga membuktikan bahwa expected degree of working flexibility memiliki pengaruh positif pada continuance intention. Penelitian ini diharapkan dapat menjadi acuan pengembangan fitur bagi penyedia aplikasi video conference dan menjadi acuan dalam memilih aplikasi video conference bagi perusahaan yang menggunakannya. ......The Coronavirus Disease of 2019 (COVID-19) pandemic, which entered Indonesia in 2020, caused the Indonesian government to impose a social restriction program that led to the implementation of a company policy implementation of work, namely to work from home (WFH). This requires companies to use video conferencing applications to maintain continuous communication between employees. This study aims to explain the factors that influence the post-pandemic continuance intention of video conference applications in the workplace. This study uses mix-method consisting of qualitative and quantitative approaches. A qualitative approach is used to build the research model and explore technology affordances of video conference applications. A quantitative approach is used to test the hypothesis using the PLS-SEM method. This study collected data from 457 employees in Indonesia. This study combines technology affordance theory, tasktechnology fit, and expectation-confirmation model. This study found 4 technology affordances of video conference applications, namely communication affordance, sharing resource affordance, collaborative working affordance, and social presence affordance. The results of this study show that task characteristic and technology affordance improve perceived task-technology fit (TTF). Then, TTF improves continuance intention directly and indirectly through perceived usefulness, confirmation, and satisfaction. This study also found that all post-acceptance variables in ECM were proven. Finally, this study proves that the expected degree of working flexibility has a positive influence on continuance intention. This study hopefully can be a reference for video conference application providers to decide which features to develop and for companies that use them to decide which application to use.

Abstrak :
Pesatnya perkembangan layanan streaming musik atau Music Streaming Services (MSS) membentuk kenormalan baru dalam cara kita menikmati musik. Spotify telah memimpin pangsa pasar MSS di dunia walau kompetisi semakin kuat dalam memenuhi kebutuhan pengguna. Kebutuhan tersebut berkaitan erat dengan technology affordance atau apa yang layanan dapat penuhi sesuai persepsi dan tujuan penggunanya. Dengan memahami aspek technology affordance dari layanannya, Spotify dan penyedia MSS mampu menemukan solusi untuk meningkatkan retensi penggunanya serta pendapatannya keseluruhan. Penelitian yang dijalankan memiliki tujuan untuk mengetahui faktor-faktor terkait technology affordance dari layanan MSS serta pengaruhnya terhadap niat pengguna untuk tetap menggunakan dan berlangganan layanan premium dari MSS, khususnya Spotify. Penelitian mengidentifikasi technology affordance dari MSS melalui pendekatan grounded theory. Terdapat empat faktor utama technology affordance dari MSS, yaitu exploration, listening control, playlisting, serta social connectivity. Penelitian dilanjutkan dengan mengintegrasikan temuan tersebut dengan expectation-confirmation model (ECM) dan melakukan analisis kuantitatif menggunakan PLS-SEM pada 321 pengguna Spotify. Didapatkan bahwa subscription intention pengguna dipengaruhi oleh continuance intention. Selanjutnya, continuance intention dipengaruhi oleh perceived usefulness serta satisfaction dimana kedua hal tersebut dipengaruhi oleh confirmation. Terakhir, perceived usefulness dipengaruhi oleh seluruh aspek technology affordance dari MSS dimana dua faktor affordance dengan pengaruh terbesar yaitu exploration affordance dan listening control affordance. Penelitian ini mampu dikembangkan lebih lanjut dan mampu menjadi saran praktis bagi penyedia layanan MSS dalam mengembangkan layanan yang berfokus pada pengguna. ...... The rapid growth of music streaming services (MSS) has shaped the new normal of how we listen to music. Spotify has been leading the global MSS market in terms of market share, even though the competition is getting tougher in fulfilling the user's needs. User's needs are heavily linked to technology affordance, which concerns what a service could afford based on the user's perception and goals. By understanding the technology affordance of their service, Spotify and other MSS providers can formulate a solution that could boost user retention and their overall revenue. The study aims to identify the technology affordance of MSS and how it affects the user’s continuance intention and subscription intention, especially on Spotify. The study identified MSS technology affordances through grounded theory approaches. There are four key technology affordances of MSS: exploration, listening control, playlisting, and social connectivity. The study continued with the integration of MSS technology affordances with expectation-confirmation model (ECM). It was found that subscription intention is influenced by continuance intention, continuance intention is influenced by perceived usefulness and satisfaction, in which these two factors are influenced by confirmation. Lastly, perceived usefulness was influenced by all of the identified MSS technology affordances, in which two factors with the greatest influence were exploration affordance and listening control affordance. The study findings could be developed for future research and stand as suggestions for MSS providers to develop user-centered services.

Abstrak :
Pesatnya perkembangan layanan streaming musik atau Music Streaming Services (MSS) membentuk kenormalan baru dalam cara kita menikmati musik. Spotify telah memimpin pangsa pasar MSS di dunia walau kompetisi semakin kuat dalam memenuhi kebutuhan pengguna. Kebutuhan tersebut berkaitan erat dengan technology affordance atau apa yang layanan dapat penuhi sesuai persepsi dan tujuan penggunanya. Dengan memahami aspek technology affordance dari layanannya, Spotify dan penyedia MSS mampu menemukan solusi untuk meningkatkan retensi penggunanya serta pendapatannya keseluruhan. Penelitian yang dijalankan memiliki tujuan untuk mengetahui faktor-faktor terkait technology affordance dari layanan MSS serta pengaruhnya terhadap niat pengguna untuk tetap menggunakan dan berlangganan layanan premium dari MSS, khususnya Spotify. Penelitian mengidentifikasi technology affordance dari MSS melalui pendekatan grounded theory. Terdapat empat faktor utama technology affordance dari MSS, yaitu exploration, listening control, playlisting, serta social connectivity. Penelitian dilanjutkan dengan mengintegrasikan temuan tersebut dengan expectation-confirmation model (ECM) dan melakukan analisis kuantitatif menggunakan PLS-SEM pada 321 pengguna Spotify. Didapatkan bahwa subscription intention pengguna dipengaruhi oleh continuance intention. Selanjutnya, continuance intention dipengaruhi oleh perceived usefulness serta satisfaction dimana kedua hal tersebut dipengaruhi oleh confirmation. Terakhir, perceived usefulness dipengaruhi oleh seluruh aspek technology affordance dari MSS dimana dua faktor affordance dengan pengaruh terbesar yaitu exploration affordance dan listening control affordance. Penelitian ini mampu dikembangkan lebih lanjut dan mampu menjadi saran praktis bagi penyedia layanan MSS dalam mengembangkan layanan yang berfokus pada pengguna. ...... The rapid growth of music streaming services (MSS) has shaped the new normal of how we listen to music. Spotify has been leading the global MSS market in terms of market share, even though the competition is getting tougher in fulfilling the user's needs. User's needs are heavily linked to technology affordance, which concerns what a service could afford based on the user's perception and goals. By understanding the technology affordance of their service, Spotify and other MSS providers can formulate a solution that could boost user retention and their overall revenue. The study aims to identify the technology affordance of MSS and how it affects the user’s continuance intention and subscription intention, especially on Spotify. The study identified MSS technology affordances through grounded theory approaches. There are four key technology affordances of MSS: exploration, listening control, playlisting, and social connectivity. The study continued with the integration of MSS technology affordances with expectation-confirmation model (ECM). It was found that subscription intention is influenced by continuance intention, continuance intention is influenced by perceived usefulness and satisfaction, in which these two factors are influenced by confirmation. Lastly, perceived usefulness was influenced by all of the identified MSS technology affordances, in which two factors with the greatest influence were exploration affordance and listening control affordance. The study findings could be developed for future research and stand as suggestions for MSS providers to develop user-centered services.