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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 :
ABSTRAK
Penelitian ini tentang pengaruh komponen ambient conditions yang terdiri dari Lighting and Colour pencahayaan dan pewarnaan , Size and Shape Perception persepsi luas dan bentuk , dan Noise and Music Kebisingan dan Musik terhadap kondisi emosi pelanggan dengan pendekatan unipolar, kepuasan konsumen dan keinginan berperilaku dari pelanggan restoran. Penelitian ini menggunakan teori perilaku konsumen, dengan memakai tiga elemen dasar dalam analisis konsumen yaitu, afeksi dan kognisi, lingkungan konsumen dan perilaku terbuka konsumen. Penelitian ini menggunakan data kuesioner dari 124 responden pelanggan restoran Foodrink House, menggunakan metode regresi Multivariate General Linear Model dan Univariate General Linear Model dengan software SPSS 16.0. Hasil Penelitian menunjukan bahwa ambient conditions mempunyai pengaruh yang signifikan terhadap kondisi emosi seseorang, dan kondisi emosi seseorang mempunyai pengaruh yang signifikan terhadap kepuasan pelanggan, analisis selanjutnya menunjukan kepuasan pelanggan mempunyai pengaruh signifikan terhadap keinginan berperilaku seseorang.

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ABSTRACT
This study examines the effect of component ambient condition consist of Lighting and Colour, Size and Shape Perception, and Noise and Music on consumer emotional state with unipolar approach, customer satisfaction and behaviour intention in restaurant customer. This study refers to consumer behaviour theories using three basic elements for consumer analysis, which contain, affection and cognition, consumer environtment and overt consumer behaviour. This study uses questionnaire data of 124 respondents from Foodrink House restaurant and was proccessed with SPSS 16.0 software using Multivariate General Linear Model dan Univariate General Linear Model regresion method. The result of this study explains that ambient conditions have significant effect with emotional state of a person, and emotional state of a person have significant effect with customer satisfaction, futher analysis showed that customer satisfactions have significants effects with consumer behaviour intention.