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"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.

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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."

"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.

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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."

"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.

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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."

"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.

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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."

"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.

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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."

"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.

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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."

"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.

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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."

"Online collaboration tools adalah aplikasi yang mendukung penggunanya untuk bekerja sama dengan rekan kerja atau tim dalam menyelesaikan pekerjaan dengan fungsinya antara lain dapat digunakan untuk berdiskusi & berkomunikasi, menyimpan proyek bersama, serta mengerjakan proyek secara bersama-sama. Pada Maret 2020, pandemi COVID-19 telah masuk ke Indonesia yang menyebabkan adanya kebijakan pembatasan sosial dengan salah satu kebijakannya adalah perubahan dari work from office menjadi work from home untuk beberapa perusahaan. Pada masa tersebut, penggunaan online collaboration tools untuk bekerja pun meningkat karena sebagai salah satu alternatif agar tetap bisa bekerja sama dengan tim. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi pengguna dalam bekerja menggunakan online collaboration tools di saat masa pandemi COVID-19 telah berakhir dan untuk memprediksi apakah pengguna masih tetap melanjutkan penggunaannya. Penelitian ini mengadopsi teori technology affordance, task technology fit dan post acceptance model. Model penelitian meliputi 1) technology affordance (collaborative affordance, communication affordance, sharing resources affordance), 2) task-technoogy fit (utilization, task characteristics, perceived task technology fit), 3) post acceptance model (confirmation, perceived usefulness, satisfaction, continuance intention). Analisis data dilakukan menggunakan metode PLS-SEM dengan 404 responden valid. Hasil analisis nya menemukan bahwa faktor technology affordance, task-technology fit, confirmation, perceived usefulness, dan satisfaction membawa pengaruh terhadap intensi pengguna dalam melanjutkan penggunaan. Penelitian ini memberikan implikasi teoreties karena ada nilai keterbaruan dalam konteks online collaboration tools, serta implikasi praktis bagi pengembang aplikasi dan perusahaan tempat bekerja yang akan atau sedang menggunakan online colaboration tools.

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Online Collaboration Tools is an application that supports its users to work together with colleagues or a team in completing work with its functions, being used to discuss & communicate, save projects, and work on projects together. In March 2020, the COVID-19 pandemic entered Indonesia which resulted in a social violation policy with one of the policies being a change from working from the office to working from home for several companies. At that time, the use of online collaboration tools for work also increased because it was an alternative to being able to work with the team. This study aims to analyze the factors that influence users to work using online collaboration tools when the COVID-19 pandemic has ended and to predict whether users will continue to use them. This study adopts the theory of technology affordances, task technology fit, and post acceptance model. The research model includes 1) technology affordances (collaborative affordance, communication affordance, sharing resources affordance), 2) task-technology fit (utilization, task characteristics, perceived task technology fit), 3) post-acceptance model (confirmation, perceived usefulness, satisfaction, continuance intention). Data analysis was carried out using the PLS-SEM method with 404 valid respondents. The results of the analysis found that technology affordance, task-technology fit, confirmation, perceived usefulness, and satisfaction factors influenced the user’s intention to continue using it. This research provides theoretical implications because there is a novelty value in the context of online collaboration tools, as well as practical implications for application developers and workplace companies that will or are currently using online collaboration tools."