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"Teknologi mempengaruhi berbagai lini kehidupan masyarakat. Penggunaan transportasi, memenuhi kebutuhan seperti belanja, bahkan juga untuk bersosialisasi semuanya menggunakan teknologi. Aktivitas seperti jual beli juga pun terpengaruh, hingga mendorong munculnya e-commerce. E-commerce tentu berkaitan dengan pelanggan maupun pengguna e-commerce yang mengungkapkan berbagai opininya. Beberapa opini disampaikan melalui media sosial yang dimiliki oleh e-commerce salah satunya adalah Twitter. Opini inilah yang menarik dieksplorasi untuk diketahui sentimen dan tingkat kepuasan dari pelanggan e-commerce. Oleh karenanya, penelitian ini bertujuan untuk menyusun aspek kepuasan pelanggan dan juga menentukan metode Lexicon yang relevan untuk analisis sentimen. Data diambil dari microblogs Twitter terbatas pada 5 penyelenggara e-commerce yaitu Blibli, Bukalapak, Lazada, Shopee, dan Tokopedia sebanyak 88.816 tweet. Dikategorisasikan ke dalam aspek-aspek sehingga menjadi 12.995 tweet. Aspek-aspek kepuasan pelanggan disusun melalui studi literatur dan menghasilkan 6 aspek. Keenam aspek tersebut adalah aspek produk, penjual, logistik, harga, layanan, dan sistem. Kategorisasi tweet ke dalam aspek menggunakan kata kunci berkaitan dengan aspek-aspek sebanyak 73 kata kunci yang dihasilkan dari analisis hasil word cloud dan topic modelling yang menggunakan LDA. Untuk pemilihan metode lexicon dibuat skenario yang diujikan pada 300 tweet yang dilabeli secara manual dan dipilih secara acak dari data aspek. Skenario yang dilakukan pada data berlabel ada dua, yaitu menggunakan Lexicon 1 dan Lexicon 2. Lexicon 1 adalah perbandingan kamus, sedangkan Lexicon 2 merupakan perbandingan rumus yang berbeda. Hasil Lexicon 1 adalah seluruh kamus memiliki nilai akurasi sama yaitu 0,54. Sedangkan pada Lexicon 2 memiliki nilai akurasi tertinggi yaitu 0,46 dari kamus berskala 1 dengan rumus pertama. Sehingga, metode terpilih adalah Lexicon 1 menggunakan kamus InSet. Penerapan kategorisasi aspek menghasilkan bahwa aspek dominan pada masing-masing e-commerce dan pada keseluruhan e-commerce adalah aspek produk. Penerapan metode berbasis leksikon pada analisis sentimen menghasilkan bahwa di seluruh e-commerce pada setiap aspeknya memiliki sentimen dominan positif. Implikasi dari penelitian ini adalah bertambahnya khazanah ilmu pengetahuan berkaitan kepuasan pelanggan dan bervariasinya kamus serta metode berbasis leksikon yang dapat menjadi referensi dan penelitian lebih lanjut. Selain itu, bagi penyelenggara e-commerce penelitian ini dapat membantu analisis untuk peningkatan maupun pengambilan kebijakan.

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Technology affects various lines of people's lives. The use of transportation, meeting needs such as shopping, and even socializing all use technology. Activities such as buying and selling were also affected, thus encouraging the emergence of e-commerce. E-commerce is undoubtedly related to customers and e-commerce users who express various opinions. Some opinions are conveyed through social media owned by e-commerce, one of which is Twitter. This opinion is interesting to be explored to find out the sentiment and satisfaction level of e-commerce customers. Therefore, this study aims to compile aspects of customer satisfaction and determine the Lexicon method relevant to sentiment analysis. Data was taken from Twitter microblogs limited to 5 e-commerce organizers, namely Blibli, Bukalapak, Lazada, Shopee, and Tokopedia, with a total of 88,816 tweets. Categorized into aspects so that it becomes 12,995 tweets. Aspects of customer satisfaction are compiled through literature studies and produce six aspects. The six aspects are product, seller, logistics, price, service, and system. Categorizing tweets into aspects using keywords related to aspects as many as 73, resulting from analysis of word cloud results and topic modeling using LDA.

For the selection of the lexicon method, scenarios were created that were tested on 300 tweets labeled manually and randomly selected from aspect data. Two scenarios were performed on labeled data using Lexicon 1 and Lexicon 2. Lexicon 1 is a comparison of dictionaries, while Lexicon 2 is a comparison of different formulas. The result of Lexicon 1 is that all dictionaries have the same accuracy value of 0.54. Meanwhile, Lexicon 2 has the highest accuracy value of 0.46 on a scale of one dictionary with the first formula. So, the chosen method is Lexicon 1 using the InSet dictionary. The application of aspect categorization results in the dominant aspect in each e-commerce, and all e-commerce is the product aspect. Applying the lexicon-based method to sentiment analysis results in all e-commerce has dominant positive sentiment in every aspect. The implication of this research is to increase the knowledge related to customer satisfaction and the variety of dictionaries and lexicon-based methods that can be used as references and further research. In addition, for e-commerce organizers, this research can assist analysis for improvement and policy making."

"Perkembangan bisnis e-commerce agar tetap berjalan di Indonesia maka perusahaan ecommerce harus menjaga customer satisfaction. Pada aplikasi shopee customer satisfaction dapat dilihat dari rating yang diberikan customer. Penelitian ini bertujuan untuk mencari faktor-faktor yang memengaruhui customer dalam memberikan rating dengan tujuan untuk meningkatkan service shopee. Kondisi saat ini perusahaan belum mengetahui indikator ketika customer memberikan rating. Penelitian ini menggunakan beberapa metode yaitu Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM) dan kualitas produk yang memberikan pengaruh pada rating. Target responden adalah customer shopee yang pernah memberikan bad rating dan yang belum pernah memberikan rating dengan jumlah 326 responden. Kuesioner disebar secara online melalui google form serta pengolahan analisis statistik yang digunakan adalah Partial Least Square (PLS) dengan tools SmartPLS v.4. Hasil dari penelitian memberikan kesimpulan bahwa faktor yang memengaruhui responden bad rating dalam memberikan rating dengan hasil positif signifikan adalah faktor perceived ease of use, social influence dan customer satisfaction dengan nilai r-square rating 0.354 (moderate) dan dari moderasi variabel yang paling banyak berpengaruh positif signifikan adalah gender wanita. Sedangkan responden yang belum pernah memberikan rating yang memengaruhui positif signifikan adalah performance expectancy, social influence dan customer satisfaction dengan nilai r-square untuk rating 0.823 (kuat). Berdasarkan hasil diskusi dengan team management shopee disimpulkan beberapa hal perbaikan untuk meningkatkan service yaitu perbaikan algoritma aplikasi, development team operational, dan beberapa strategi untuk mengatasi impact setelah pandemic covid 19.

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The development of the e-commerce business in Indonesia, ecommerce companies must maintain customer satisfaction. In the shopee customer satisfaction app, it can be seen from the ratings given by consumers. This research aims to find factors that influence consumers in providing ratings with the aim of improving shopee services. The current condition of the company does not know the indicators when consumers give ratings. This research uses several methods, such as the Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM) and product quality that influences ratings. The target respondents are shopee consumers who have given bad ratings and who have never given a rating with 326 respondents. The questionnaire was distributed online via google form and the statistical analysis processing used was Partial Least Square (PLS) with SmartPLS v.4 tools. The results of the study concluded that the factors that influence bad rating respondents in providing ratings with significant positive results are the factors of perceived ease of use, social influence and customer satisfaction with an r-square rating value of 0.354 (moderate) and from moderation, the variable that has the most significant positive effect is female gender. Meanwhile, respondents who have never given a rating that has a significant positive effect are performance expectancy, social influence and customer satisfaction with an r-square value for ratings of 0.823 (strong). Based on the results of discussions with the shopee management team, it is concluded that there are several improvements to improve service, namely improving application algorithms, developing operational teams, and several strategies to overcome the impact after the covid pandemic."

"E-commerce merupakan kontributor utama ekonomi digital Indonesia, tetapi statistik menunjukkan adanya peningkatan jumlah keluhan dan insiden penipuan terkait e-commerce yang berakibat kepercayaan masyarakat terhadap e-commerce menurun. Salah satu akar permasalahan yang diidentifikasi yaitu maraknya opini negatif publik yang cenderung mendorong pelanggan untuk tidak menggunakan layanan e-commerce. Oleh karena itu, penelitian ini menganilisis sentimen publik dengan tujuan mengetahui model terbaik untuk mengklasifikasikan sentimen, tren sentimen dari waktu ke waktu, topik utama yang melandasi sentimen tersebut, serta rekomendasi berdasarkan analisis. Penelitian ini menggunakan data dari Twitter dengan periode tweet dari Agustus hingga Oktober 2023, berfokus pada tiga e-commerce terbesar di Indonesia. Pada tahap analisis, metode machine learning untuk analisis sentimen dan Latent Dirichlet Allocation (LDA) untuk pemodelan topik diimplementasikan. Hasil penelitian menunjukkan bahwa model terbaik untuk mengklasifikasikan sentimen adalah Support Vector Machine (SVM) dengan temuan yaitu sentimen netral mendominasi, sentimen negatif stabil dengan beberapa peningkatan, sementara sentimen positif lebih bervariasi, terdapat lonjakan di beberapa titik. Topik utama sentimen positif berkaitan dengan proses belanja menyenangkan, fitur inovatif, event khusus, harga dan penawaran murah, serta dukungan terhadap produk lokal di e-commerce. Sentimen negatif berpusat pada isu ketidaksesuaian barang, pengembalian dana, pengiriman barang, dan layanan pelanggan. Rekomendasi untuk meningkatkan kepuasan pelanggan mencakup memperkuat aspek-aspek yang memicu sentimen positif, serta menangani permasalahan yang memicu sentimen negatif, seperti perbaikan proses pengiriman, dan penguatan langkah-langkah keamanan untuk mengatasi penipuan.

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E-commerce plays a vital role in Indonesia's digital economy, but statistics reveal an increase in complaints and fraud incidents associated with e-commerce, leading to a decline in public trust. One identified root issue is the prevalence of negative public opinions, discouraging customers from using e-commerce services. Therefore, this study analyzes public sentiment with the aim of determining the best model for sentiment classification, understanding sentiment trends over time, identifying key topics underlying these sentiments, and providing recommendations based on the analysis. The study utilizes Twitter data from August to October 2023, focusing on the three largest e-commerce platforms in Indonesia. In the analysis phase, machine learning methods for sentiment analysis and Latent Dirichlet Allocation (LDA) for topic modeling are implemented. The findings indicate that the Support Vector Machine (SVM) is the best model for sentiment classification. Neutral sentiment dominates, negative sentiment remains stable with occasional increases, while positive sentiment is more varied, experiencing spikes at certain points. Key topics associated with positive sentiment include enjoyable shopping experiences, innovative features, special events, affordable pricing, and support for local products in e-commerce. Negative sentiment revolves around issues of product mismatch, refund processes, shipping concerns, and customer service. Recommendations to enhance customer satisfaction involve strengthening aspects that trigger positive sentiments and addressing issues causing negative sentiments, such as improving the delivery process and reinforcing security measures to tackle fraud."

"Dalam era digital yang semakin berkembang, khususnya setelah pandemi, penggunaan platform e-commerce untuk berbelanja online meningkat pesat di Indonesia, dengan tren live streaming shopping menjadi salah satu inovasi terbaru yang menarik perhatian konsumen. Namun, meskipun popularitasnya meningkat, kegiatan berbelanja melalui live streaming di e-commerce Indonesia sering menghadapi berbagai masalah yang mengganggu kepercayaan konsumen yang merupakan salah satu elemen kunci dalam membentuk niat pembelian dan keterlibatan konsumen. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang memengaruhi kepercayaan konsumen dan perilaku pembelian aktual di live streaming ecommerce. Teori socio-technical dan teori trust transfer digunakan untuk mengidentifikasi hubungan faktor social enabler dan technical enabler terhadap kepercayaan konsumen dan perilaku pembelian aktual. Penelitian ini dilakukan dengan 785 responden yang dianalisis menggunakan PLS-SEM, dan dilanjutkan dengan wawancara kualitatif dengan 30 responden yang dianalisis melalui content analysis untuk mendukung hasil penelitian. Hasil penelitian menunjukkan bahwa faktor social enabler, yaitu active control, two-way communication, dan synchronicity, serta faktor technical enabler seperti visibility affordance dan guidance shopping affordance, terbukti meningkatkan kepercayaan terhadap platform, streamer, dan produk. Aspek technical enabler lainnya, yaitu metavoicing affordance, tidak berpengaruh signifikan terhadap trust in streamer. Kepercayaan pada streamer juga terbukti mempengaruhi kepercayaan pada produk, sesuai dengan teori trust transfer. Niat pembelian dalam live streaming juga terbukti dipengaruhi oleh consumer trust dan kemudian berpengaruh terhadap actual purchase. Hasil penelitian ini diharapkan dapat menjadi masukan bagi penyedia layanan live streaming, terkhusus pihak pengembangnya, mengenai aspek live streaming apa saja yang berpengaruh dalam meningkatkan kepercayaan dan perilaku pembelian konsumen.

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In the rapidly evolving digital era, particularly following the pandemic, the use of ecommerce

platforms for online shopping has increased in Indonesia, with the trend of live

streaming shopping emerging as one of the latest innovations capturing consumer attention.

However, despite its growing popularity, live streaming shopping in Indonesian e-commerce

frequently encounters various issues that undermine consumer trust—one of the key elements

in shaping purchase intentions and consumer engagement. This study aims to identify the

factors influencing consumer trust and actual purchasing behavior in live streaming ecommerce.

Socio-technical theory and trust transfer theory are employed to identify the

relationships between social enablers and technical enablers and their impact on consumer

trust and actual purchasing behavior. The research involved 785 respondents analyzed using

PLS-SEM, followed by qualitative interviews with 30 respondents analyzed through content

analysis to support the findings. The results indicate that social enablers, such as active

control, two-way communication, and synchronicity, as well as technical enablers like

visibility affordance and guidance shopping affordance, significantly enhance trust in the

platform, streamer, and product. Another technical enabler aspect, metavoicing affordance,

does not have a significant effect on trust in streamer. Trust in the streamer also influences

trust in the product, in line with trust transfer theory. Purchase intentions in live streaming

are shown to be affected by consumer trust, which subsequently impacts actual purchases.

These findings are expected to provide valuable insights for live streaming service providers

and developers regarding the aspects of live streaming that influence consumer trust and

purchasing behavior."

"Era digitalisasi mengubah pola konsumen masyarakat ke arah digital yang mendorong pertumbuhan ekosistem digital antara bank digital dan platform e-commerce. Kolaborasi ini memungkinkan pengguna untuk melakukan transaksi secara seamless, meningkatkan kenyamanan dan efisiensi dalam bertransaksi. Meskipun penggunaannya semakin meningkat, memastikan pengguna terus menggunakan layanan ini (reuse intention) tetap menjadi tantangan. Penelitian ini bertujuan untuk menganalisis pengaruh pengalaman dan kepuasan pengguna terhadap niat untuk menggunakan kembali (reuse intention) layanan bank digital yang terintegrasi dengan e-commerce. Pengumpulan data dilakukan dengan melalui survei terhadap 616 responden dan wawancara terhadap 30 narasumber. Pengolahan data kuantitatif menggunakan metode covariance-based structural equation modeling (CB-SEM), sedangkan pengolahan data kualitatif menggunakan metode content analysis. Hasil penelitian menunjukkan bahwa perceived ease of use, perceived usefulness, perceived reliability, perceived value, dan perceived risk berpengaruh signifikan terhadap pengalaman pengguna, sedangkan perceived security tidak memengaruhi pengalaman pengguna. Selanjutnya pengalaman pengguna berpengaruh signifikan terhadap kepuasan pengguna, yang pada gilirannya memengaruhi niat untuk menggunakan kembali layanan bank digital. Temuan ini diharapkan dapat membantu bank digital dan platform e-commerce dalam merancang strategi yang efektif untuk meningkatkan kepuasan pengguna yang akhirnya dapat memengaruhi niat pengguna untuk menggunakan kembali layanan integrasi bank digital dan e-commerce sebagai metode pembayaran.

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The digital era is transforming consumer behavior towards digital platforms, driving the growth of the digital ecosystem between digital banks and e-commerce platforms. This collaboration allows users to conduct transactions seamlessly, enhancing convenience and efficiency. Despite the increasing usage, ensuring continuous use (reuse intention) remains a challenge. This study aims to analyze the influence of user experience and satisfaction on the reuse intention of integrated digital bank and e-commerce services. Data collection was conducted through surveys of 616 respondents and interviews with 30 participants. Quantitative data was processed using the covariance-based structural equation modeling (CB-SEM) method, while qualitative data was analyzed using content analysis. The results of the study show that perceived ease of use, perceived usefulness, perceived reliability, perceived value, and perceived risk significantly affect user experience, while perceived security does not influence user experience. Furthermore, user experience significantly impacts user satisfaction, which in turn affects the intention to reuse digital banking services. These findings are expected to assist digital banks and e-commerce platforms in designing effective strategies to enhance user satisfaction, ultimately influencing the intention to reuse the integrated digital bank and e-commerce services as a payment method."

"Penelitian ini menganalisis Pengaruh Customer Satisfactions, Brand Trust dan Platform Trust terhadap Brand Switching Intention dari brand HMNS ke brand parfum lainnya pada platform e-commerce. Penelitian ini menggunakan desain penelitian konklusi deskriptif cross sectional dengan metode survei kuesioner. Metode sampling digunakan nonprobability sampling Dari hasil penelitian, customer satisfaction memiliki pengaruh yang positif terhadap brand trust dan platform trust, dengan mediasi brand trust, customer satisfaction juga memiliki pengaruh positif terhadap brand switching intention, brand trust terhadap brand switching intention. Akan tetapi, platform trust tidak berpengaruh siginifikan terhadap brand switching intention, dan customer satisfaction melalui mediasi platform trust tidak memiliki pengaruh yang signifikan terhadap brand switching intention. Hasil penelitian ini masih menunjukkan bahwa dari 171 sampel yang digunakan, ditemukan produk parfum HMNS tersebut mulai familiar di industri parfum.

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This research analyzes the influence of Customer Satisfaction, Brand Trust and Platform Trust on Brand Switching Intention from the HMNS brand to other perfume brands on e-commerce platforms. This research uses a cross-sectional descriptive conclusive research design with a questionnaire survey method. The sampling method used was nonprobability sampling. From the research results, customer satisfaction has a positive influence on brand trust and platform trust, with the mediation of brand trust, customer satisfaction also has a positive influence on brand switching intention, brand trust on brand switching intention. However, platform trust does not have a significant effect on brand switching intention, and customer satisfaction through the mediation of platform trust does not have a significant effect on brand switching intention. The results of this research still show that of the 171 samples used, consumer tastes and environmental influences on the choice of perfume products still have a very strong influence even though HMNS perfume products are starting to become familiar in the perfume industry."

"Perkembangan internet dan smartphone mendorong berbagai kegiatan, salah satunya pembayaran, untuk dilakukan secara online dengan memanfaatkan teknologi mobile. Saat ini bank sudah mulai menyediakan layanan digital only bank. Namun, masih banyak pro-kontra terkait bank digital di Indonesia. Oleh karena itu, penelitian ini bertujuan untuk meneliti adopsi digital banking yang melibatkan perpindahan kepercayaan dari suatu e-commerce yang sudah banyak dipercayai dengan menggunakan teori trust transfer beserta faktor-faktor customer experience yang memengaruhi proses trust transfer tersebut. Penelitian ini menggunakan studi kasus bank digital SeaBank dengan e-commerce Shopee yang memiliki satu parent group yang sama yaitu Sea Group. Pendekatan kuantitatif pada penelitian ini memanfaatkan data dari penyebaran kuesioner daring dengan total 629 responden. Kemudian, data diolah menggunakan metode partial least squares structural equation modeling (PLS-SEM) dengan perangkat lunak SmartPLS 4. Hasil analisis data menunjukkan faktor customer cost, convenience, perceived ease of use, informativeness, dan relationship investment berpengaruh secara positif kepada trust in Shopee. Lalu, faktor customisation, customer cost, dan relationship investment berpengaruh secara positif kepada loyalty to Shopee. Selain itu, ditemukan bahwa trust in Shopee dan loyalty to Shopee memengaruhi trust in SeaBank secara positif, serta trust in SeaBank memengaruhi intention to use SeaBank secara positif, sehingga penelitian ini memperkuat teori trust transfer. Di lain sisi, faktor customisation tidak memengaruhi trust in Shopee dan faktor convenience, perceived ease of use, dan informativeness tidak memengaruhi loyalty to Shopee. Namun, penolakan beberapa hipotesis tersebut telah divalidasi oleh enam narasumber wawancara yang merupakan pengguna aktif Shopee. Implikasi teoritis penelitian ini adalah perluasan mengenai pengaruh customer experience terhadap value yang diberikan perusahaan kepada customer, dapat meningkatkan kepercayaan dan kesetiaan pengguna sekaligus memberikan fakta baru mengenai proses trust transfer hingga menjadi intention to use antara Shopee dengan SeaBank dalam konteks customer experience.

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The development of the internet and smartphones has facilitated various activities, including online payments, by leveraging mobile technology. Currently, banks have begun offering digital-only banking services. However, there are still many pros and cons related to digital banks in Indonesia. Therefore, this research aims to examine the adoption of digital banking, involving the transfer of trust from a well-established e-commerce platform, using the trust transfer theory and the factors of customer experience that influence this trust transfer process. This study focuses on the case of SeaBank, a digital bank, and Shopee, an e-commerce platform, which share the same parent group, Sea Group. The quantitative approach in this research utilizes data collected through online questionnaires with a total of 629 respondents. The data is then analyzed using the partial least squares structural equation modeling (PLS-SEM) method with SmartPLS4 software. The results of the data analysis show that factors such as customer cost, convenience, perceived ease of use, informativeness, and relationship investment have a positive influence on trust in Shopee. Furthermore, customisation, customer cost, and relationship investment have a positive impact on loyalty to Shopee. Additionally, trust in Shopee and loyalty to Shopee positively affect trust in SeaBank, and trust in SeaBank positively influences the intention to use SeaBank, thus strengthening the trust transfer theory. On the other hand, customisation does not affect trust in Shopee, and factors such as convenience, perceived ease of use, and informativeness do not influence loyalty to Shopee. However, the rejection of these hypotheses has been validated by six interviewees who are active Shopee users. The theoretical implications of this research include expanding the understanding of the influence of customer experience on the value provided by companies to customers, which can enhance user trust and loyalty, while also providing new insights into the trust transfer process leading to the intention to use between Shopee and SeaBank in the context of customer experience."

"Perkembangan internet dan smartphone mendorong berbagai kegiatan, salah satunya pembayaran, untuk dilakukan secara online dengan memanfaatkan teknologi mobile. Saat ini bank sudah mulai menyediakan layanan digital only bank. Namun, masih banyak pro-kontra terkait bank digital di Indonesia. Oleh karena itu, penelitian ini bertujuan untuk meneliti adopsi digital banking yang melibatkan perpindahan kepercayaan dari suatu e-commerce yang sudah banyak dipercayai dengan menggunakan teori trust transfer beserta faktor-faktor customer experience yang memengaruhi proses trust transfer tersebut. Penelitian ini menggunakan studi kasus bank digital SeaBank dengan e-commerce Shopee yang memiliki satu parent group yang sama yaitu Sea Group. Pendekatan kuantitatif pada penelitian ini memanfaatkan data dari penyebaran kuesioner daring dengan total 629 responden. Kemudian, data diolah menggunakan metode partial least squares structural equation modeling (PLS-SEM) dengan perangkat lunak SmartPLS 4. Hasil analisis data menunjukkan faktor customer cost, convenience, perceived ease of use, informativeness, dan relationship investment berpengaruh secara positif kepada trust in Shopee. Lalu, faktor customisation, customer cost, dan relationship investment berpengaruh secara positif kepada loyalty to Shopee. Selain itu, ditemukan bahwa trust in Shopee dan loyalty to Shopee memengaruhi trust in SeaBank secara positif, serta trust in SeaBank memengaruhi intention to use SeaBank secara positif, sehingga penelitian ini memperkuat teori trust transfer. Di lain sisi, faktor customisation tidak memengaruhi trust in Shopee dan faktor convenience, perceived ease of use, dan informativeness tidak memengaruhi loyalty to Shopee. Namun, penolakan beberapa hipotesis tersebut telah divalidasi oleh enam narasumber wawancara yang merupakan pengguna aktif Shopee. Implikasi teoritis penelitian ini adalah perluasan mengenai pengaruh customer experience terhadap value yang diberikan perusahaan kepada customer, dapat meningkatkan kepercayaan dan kesetiaan pengguna sekaligus memberikan fakta baru mengenai proses trust transfer hingga menjadi intention to use antara Shopee dengan SeaBank dalam konteks customer experience.

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The development of the internet and smartphones has facilitated various activities, including online payments, by leveraging mobile technology. Currently, banks have begun offering digital-only banking services. However, there are still many pros and cons related to digital banks in Indonesia. Therefore, this research aims to examine the adoption of digital banking, involving the transfer of trust from a well-established e-commerce platform, using the trust transfer theory and the factors of customer experience that influence this trust transfer process. This study focuses on the case of SeaBank, a digital bank, and Shopee, an e-commerce platform, which share the same parent group, Sea Group. The quantitative approach in this research utilizes data collected through online questionnaires with a total of 629 respondents. The data is then analyzed using the partial least squares structural equation modeling (PLS-SEM) method with SmartPLS4 software. The results of the data analysis show that factors such as customer cost, convenience, perceived ease of use, informativeness, and relationship investment have a positive influence on trust in Shopee. Furthermore, customisation, customer cost, and relationship investment have a positive impact on loyalty to Shopee. Additionally, trust in Shopee and loyalty to Shopee positively affect trust in SeaBank, and trust in SeaBank positively influences the intention to use SeaBank, thus strengthening the trust transfer theory. On the other hand, customisation does not affect trust in Shopee, and factors such as convenience, perceived ease of use, and informativeness do not influence loyalty to Shopee. However, the rejection of these hypotheses has been validated by six interviewees who are active Shopee users. The theoretical implications of this research include expanding the understanding of the influence of customer experience on the value provided by companies to customers, which can enhance user trust and loyalty, while also providing new insights into the trust transfer process leading to the intention to use between Shopee and SeaBank in the context of customer experience."

"Perkembangan internet dan smartphone mendorong berbagai kegiatan, salah satunya pembayaran, untuk dilakukan secara online dengan memanfaatkan teknologi mobile. Saat ini bank sudah mulai menyediakan layanan digital only bank. Namun, masih banyak pro-kontra terkait bank digital di Indonesia. Oleh karena itu, penelitian ini bertujuan untuk meneliti adopsi digital banking yang melibatkan perpindahan kepercayaan dari suatu e-commerce yang sudah banyak dipercayai dengan menggunakan teori trust transfer beserta faktor-faktor customer experience yang memengaruhi proses trust transfer tersebut. Penelitian ini menggunakan studi kasus bank digital SeaBank dengan e-commerce Shopee yang memiliki satu parent group yang sama yaitu Sea Group. Pendekatan kuantitatif pada penelitian ini memanfaatkan data dari penyebaran kuesioner daring dengan total 629 responden. Kemudian, data diolah menggunakan metode partial least squares structural equation modeling (PLSSEM) dengan perangkat lunak SmartPLS 4. Hasil analisis data menunjukkan faktor customer cost, convenience, perceived ease of use, informativeness, dan relationship investment berpengaruh secara positif kepada trust in Shopee. Lalu, faktor customisation, customer cost, dan relationship investment berpengaruh secara positif kepada loyalty to Shopee. Selain itu, ditemukan bahwa trust in Shopee dan loyalty to Shopee memengaruhi trust in SeaBank secara positif, serta trust in SeaBank memengaruhi intention to use SeaBank secara positif, sehingga penelitian ini memperkuat teori trust transfer. Di lain sisi, faktor customisation tidak memengaruhi trust in Shopee dan faktor convenience, perceived ease of use, dan informativeness tidak memengaruhi loyalty to Shopee. Namun, penolakan beberapa hipotesis tersebut telah divalidasi oleh enam narasumber wawancara yang merupakan pengguna aktif Shopee. Implikasi teoritis penelitian ini adalah perluasan mengenai pengaruh customer experience terhadap value yang diberikan perusahaan kepada customer, dapat meningkatkan kepercayaan dan kesetiaan pengguna sekaligus memberikan fakta baru mengenai proses trust transfer hingga menjadi intention to use antara Shopee dengan SeaBank dalam konteks customer experience.

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The development of the internet and smartphones has facilitated various activities, including online payments, by leveraging mobile technology. Currently, banks have begun offering digital-only banking services. However, there are still many pros and cons related to digital banks in Indonesia. Therefore, this research aims to examine the adoption of digital banking, involving the transfer of trust from a well-established e-commerce platform, using the trust transfer theory and the factors of customer experience that influence this trust transfer process. This study focuses on the case of SeaBank, a digital bank, and Shopee, an e-commerce platform, which share the same parent group, Sea Group. The quantitative approach in this research utilizes data collected through online questionnaires with a total of 629 respondents. The data is then analyzed using the partial least squares structural equation modeling (PLS-SEM) method with SmartPLS4 software. The results of the data analysis show that factors such as customer cost, convenience, perceived ease of use, informativeness, and relationship investment have a positive influence on trust in Shopee. Furthermore, customisation, customer cost, and relationship investment have a positive impact on loyalty to Shopee. Additionally, trust in Shopee and loyalty to Shopee positively affect trust in SeaBank, and trust in SeaBank positively influences the intention to use SeaBank, thus strengthening the trust transfer theory. On the other hand, customisation does not affect trust in Shopee, and factors such as convenience, perceived ease of use, and informativeness do not influence loyalty to Shopee. However, the rejection of these hypotheses has been validated by six interviewees who are active Shopee users. The theoretical implications of this research include expanding the understanding of the influence of customer experience on the value provided by companies to customers, which can enhance user trust and loyalty, while also providing new insights into the trust transfer process leading to the intention to use between Shopee and SeaBank in the context of customer experience."

"Perkembangan ekonomi digital di Indonesia semakin berkembang pesat. Jumlah pengguna Electronic Commerce (e-commerce) di Indonesia juga diproyeksikan meningkat terus menerus. Terdapat berbagai alasan pendorong customer berbelanja di e-commerce. Ulasan online konsumen mempunyai pengaruh yang cukup signifikan terhadap perilaku pembelian konsumen dan telah menjadi sumber informasi penting bagi konsumen, memengaruhi sekitar 20–50% keputusan pembelian online. Kondisi saat ini, E-commerce XYZ belum melakukan research atau investigasi lebih lanjut terkait faktor-faktor apa saja yang dapat membuat customer memberikan ulasan. Tujuan dari penelitian adalah untuk menganalisis beberapa faktor yang memengaruhi niat pelanggan memberikan ulasan online / electronic word of mouth (EWOM). Penelitian ini diharapkan dapat menjadi pembelajaran untuk meningkatkan product review rate, yang erat kaitannya dengan kepuasan pelanggan dan akan berpengaruh terhadap kenaikan add to cart rate. Penelitian dilakukan dengan metode campuran, yaitu secara kuantitatif dengan menyebarkan kuesioner dan secara kualitatif dengan melakukan wawancara. Dalam penelitian ini, beberapa kerangka model yang dipilih berdasarkan analisis faktor dan adopsi dari studi-studi sebelumnya yaitu model kesuksesan sistem informasi dari DeLone &McLean yang mengintegrasikan teori kualitas e-service, serta teori determinasi diri dan social influence yang diadopsi dari teori UTAUT. Kuesioner disebar secara online melalui google form. Pengolahan analisis statistik yang digunakan adalah Partial Least Square (PLS) dengan tools SmartPLS v.4. Hasil dari penelitian memberikan kesimpulan bahwa e-service quality, attitude & customer satisfaction memengaruhi niat pelanggan memberikan ulasan online secara positif. Hipotesis bahwa delivery condition memengaruhi e-service quality secara positif, ditolak. Kemudian dilakukan wawancara dan analisis tematik untuk eksplorasi masalah dan pemberian rekomendasi yang difokuskan kepada hasil hipotesis yang diterima.

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The digital economy in Indonesia is growing rapidly. The number of Electronic Commerce (e-commerce) users in Indonesia is also projected to continuously increase. There are various motivating reasons for customers to shop on e-commerce platforms. Online consumer reviews have a significant influence on consumer buying behavior and have become a crucial source of information for consumers, affecting about 20–50% of online purchase decisions. Currently, E-commerce XYZ has not conducted further research or investigation into the factors that can prompt customers to leave reviews. The purpose of this study is to analyze several factors that influence customers' intentions to provide online reviews, or electronic word of mouth (EWOM). This research is expected to provide insights to enhance the product review rate, which is closely related to customer satisfaction and is likely to impact the increase in the add-to-cart rate. The research was conducted using mixed methods, namely quantitatively by distributing online questionnaires and qualitatively by conducting interviews. In this study, selected frameworks are based on factor analysis and adoption from previous studies, including the DeLone & McLean information system success model that integrates the theory of e-service quality, as well as self-determination theory and social influence adopted from the UTAUT theory. Questionnaires were distributed online via Google Forms. The statistical analysis method used is Partial Least Square (PLS) with SmartPLS v.4 tools. The findings of the study conclude that e-service quality, attitude, and customer satisfaction positively influence the customers' intention to provide online reviews. The hypothesis that delivery condition positively affects e-service quality was rejected. Subsequently, interviews and thematic analysis were conducted to explore issues and provide recommendations focused on the accepted hypothesis results."