{"results":[{"id":"ss_1165af7c9c0c7845af01a84b889d2a86e5b12f51","title":"E-Commerce Promotional Products Selection Using SWARA and TOPSIS","authors":[{"name":"Nabilla Farah"},{"name":"R. Maharani"},{"name":"Novandra Rhezza Pratama"},{"name":"M. Dachyar"}],"abstract":"This research aims to select products that will be used for promotion on e-commerce platforms. The increasing use of e-commerce has led to a high level of competition in the e-commerce field. The company strives to maintain the quality of its services to increase customer satisfaction, one of which is by providing regular promotions. The process of selecting promotional products is a routine activity carried out every week. However, the current promotional product selection process is not effective enough, and there are no criteria to use as a reference for selection. This research was conducted on two e-commerce companies actively operating in Indonesia. The research began with a literature study and expert survey to select important criteria in selecting promotional products. Weighting of important criteria is carried out using the Stepwise Weight Assessment Ratio Analysis (SWARA) method. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is used to rank the best products to promote. The results showed that products from Soundcore, Lenovo, and Xiaomi were the best products with preference values of 0.83, 0.65, and 0.60 respectively.","source":"Semantic Scholar","year":2024,"language":"en","subjects":null,"doi":"10.38124/ijisrt/ijisrt24apr2676","url":"https://www.semanticscholar.org/paper/1165af7c9c0c7845af01a84b889d2a86e5b12f51","pdf_url":"https://doi.org/10.38124/ijisrt/ijisrt24apr2676","is_open_access":true,"citations":1538,"published_at":"","score":98},{"id":"ss_391805faeae9b4f32c7d0145d6f252211a7c2c10","title":"The role of live streaming in building consumer trust and engagement with social commerce sellers","authors":[{"name":"Apiradee Wongkitrungrueng"},{"name":"N. Assarut"}],"abstract":"Abstract Live streaming services (e.g., Facebook Live), whereby video is broadcast in real time, have been adopted by many small individual sellers as a direct selling tool. Drawing on literature in retailing, adoption behavior, and electronic commerce, this paper proposes a comprehensive framework with which to examine the relationships among customers' perceived value of live streaming, customer trust, and engagement. Symbolic value is found to have a direct and indirect effect via trust in sellers on customer engagement, while utilitarian and hedonic values are shown to affect customer engagement indirectly through customer trust in products and trust in sellers sequentially. Elucidating the role of live streaming in increasing sales and loyalty, these findings suggest different routes through which small online sellers can build customer engagement with two types of trust as mediators. Theoretical and managerial implications of this analysis for social commerce are further discussed at the conclusion of this paper.","source":"Semantic Scholar","year":2020,"language":"en","subjects":["Business"],"doi":"10.1016/J.JBUSRES.2018.08.032","url":"https://www.semanticscholar.org/paper/391805faeae9b4f32c7d0145d6f252211a7c2c10","is_open_access":true,"citations":1214,"published_at":"","score":94},{"id":"ss_7cafb99f476aaf2a3678aea06fbbce116b356fb2","title":"How live streaming influences purchase intentions in social commerce: An IT affordance perspective","authors":[{"name":"Yuan Sun"},{"name":"Xiang Shao"},{"name":"Xiaotong Li"},{"name":"Yue Guo"},{"name":"K. Nie"}],"abstract":"Abstract As a new form of social commerce, live streaming shopping is becoming increasingly popular among Chinese consumers, which has aroused great interest among practitioners and researchers. Building a theoretical model from the perspective of IT affordance, our study examines how live streaming influences social commerce customers’ purchase intentions in China. We empirically measure the model by surveying customers who have shopped via live streaming shopping platforms including Taobao.com , JD.com , Mogujie.com , and Sina Microblog. Our results show that visibility affordance, metavoicing affordance, and guidance shopping affordance can influence customer purchase intention through live streaming engagement. Our study highlights the importance of understanding the implications of IT affordance for social commerce.","source":"Semantic Scholar","year":2019,"language":"en","subjects":["Sociology","Computer Science"],"doi":"10.1016/J.ELERAP.2019.100886","url":"https://www.semanticscholar.org/paper/7cafb99f476aaf2a3678aea06fbbce116b356fb2","is_open_access":true,"citations":895,"published_at":"","score":89.85},{"id":"ss_7893adffd40632dd829ab73d5bbc35f82e05c84c","title":"The dynamic effect of interactivity on customer engagement behavior through tie strength: Evidence from live streaming commerce platforms","authors":[{"name":"Kaiyue Kang"},{"name":"Jinxuan Lu"},{"name":"Lingyun Guo"},{"name":"Wenlu Li"}],"abstract":"Abstract Interactivity, which is a key characteristic of the live streaming commerce environment, fosters users’ active attitudes and behaviors in communications and transactions. However, the literature on live streaming commerce, is scarce, and few studies examine how interactivity influences customers’ non-transactional behaviors from a dynamic perspective. In this setting, based on the stimulus-organism-response (S-O-R) framework, we developed a research model using real-time data to investigate the dynamic effect of interactivity on customer engagement behavior through tie strength in live streaming commerce, which is a relatively new derivative of social commerce. This study developed a text mining method to quantify constructs using a large-scale sample of 3,500,445 online review texts. Our empirical study found that interactivity has a curvilinear relationship with customer engagement behavior. Besides, tie strength plays an intermediary role between interactivity and customer engagement behavior. It was further observed that both tenure of membership and popularity have an important moderating relationship between interactivity and tie strength. The study enriches the relationship marketing theory and live streaming commerce literature. Moreover, this study is one of the first studies to use real-time online data for live streaming commerce research.","source":"Semantic Scholar","year":2021,"language":"en","subjects":["Computer Science"],"doi":"10.1016/j.ijinfomgt.2020.102251","url":"https://www.semanticscholar.org/paper/7893adffd40632dd829ab73d5bbc35f82e05c84c","is_open_access":true,"citations":611,"published_at":"","score":83.33},{"id":"ss_114b3aa3a4c2ceaa6b61630dc409be7604a75f77","title":"A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents","authors":[{"name":"D. Kim"},{"name":"D. Ferrin"},{"name":"H. Rao"}],"abstract":"Are trust and risk important in consumers' electronic commerce purchasing decisions? What are the antecedents of trust and risk in this context? How do trust and risk affect an Internet consumer's purchasing decision? To answer these questions, we i) develop a theoretical framework describing the trust-based decision-making process a consumer uses when making a purchase from a given site, ii) test the proposed model using a Structural Equation Modeling technique on Internet consumer purchasing behavior data collected via a Web survey, and iii) consider the implications of the model. The results of the study show that Internet consumers' trust and perceived risk have strong impacts on their purchasing decisions. Consumer disposition to trust, reputation, privacy concerns, security concerns, the information quality of the Website, and the company's reputation, have strong effects on Internet consumers' trust in the Website. Interestingly, the presence of a third-party seal did not strongly influence consumers' trust.","source":"Semantic Scholar","year":2008,"language":"en","subjects":["Computer Science","Business"],"doi":"10.1016/j.dss.2007.07.001","url":"https://www.semanticscholar.org/paper/114b3aa3a4c2ceaa6b61630dc409be7604a75f77","pdf_url":"https://ink.library.smu.edu.sg/lkcsb_research/1147","is_open_access":true,"citations":3658,"published_at":"","score":82},{"id":"ss_cc6e67e57dd5d369114a8215e580b631fc14dcc5","title":"Live streaming commerce and consumers' purchase intention: An uncertainty reduction perspective","authors":[{"name":"Benjiang Lu"},{"name":"Zhenjiao Chen"}],"abstract":"","source":"Semantic Scholar","year":2021,"language":"en","subjects":["Computer Science","Business"],"doi":"10.1016/J.IM.2021.103509","url":"https://www.semanticscholar.org/paper/cc6e67e57dd5d369114a8215e580b631fc14dcc5","is_open_access":true,"citations":560,"published_at":"","score":81.8},{"id":"ss_d4903a683c7b60a27a0c19c28d0a7774eb9dd373","title":"Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model","authors":[{"name":"P. Pavlou"}],"abstract":"","source":"Semantic Scholar","year":2003,"language":"en","subjects":["Computer Science","Psychology"],"doi":"10.1080/10864415.2003.11044275","url":"https://www.semanticscholar.org/paper/d4903a683c7b60a27a0c19c28d0a7774eb9dd373","is_open_access":true,"citations":5957,"published_at":"","score":80},{"id":"ss_b611576195d9d883f9191b63009eb9483830a1b3","title":"Developing and Validating Trust Measures for e-Commerce: An Integrative Typology","authors":[{"name":"D. Harrison"},{"name":"Mcknight bullet"},{"name":"V. Choudhury"},{"name":"C. Kacmar"}],"abstract":"","source":"Semantic Scholar","year":2002,"language":"en","subjects":["Computer Science","Psychology"],"doi":"10.1287/isre.13.3.334.81","url":"https://www.semanticscholar.org/paper/b611576195d9d883f9191b63009eb9483830a1b3","pdf_url":"https://www.msu.edu/~mcknig26/Measures.pdf","is_open_access":true,"citations":5473,"published_at":"","score":80},{"id":"ss_68c7c4944f8bf3f56642f530fe9b02a794cf0391","title":"E-commerce: the role of familiarity and trust","authors":[{"name":"David Gefen"}],"abstract":"","source":"Semantic Scholar","year":2000,"language":"en","subjects":["Business","Psychology"],"doi":"10.1016/S0305-0483(00)00021-9","url":"https://www.semanticscholar.org/paper/68c7c4944f8bf3f56642f530fe9b02a794cf0391","pdf_url":"http://onemvweb.com/sources/sources/ecommerce_role_familiarity_trust.pdf","is_open_access":true,"citations":3589,"published_at":"","score":80},{"id":"ss_7d190dcfa92693474ad9aea40db3c568a55b0bb0","title":"An Extended Privacy Calculus Model for E-Commerce Transactions","authors":[{"name":"Tamara Dinev"},{"name":"Paul J. Hart"}],"abstract":"","source":"Semantic Scholar","year":2006,"language":"en","subjects":["Computer Science"],"doi":"10.1287/isre.1060.0080","url":"https://www.semanticscholar.org/paper/7d190dcfa92693474ad9aea40db3c568a55b0bb0","is_open_access":true,"citations":2486,"published_at":"","score":80},{"id":"ss_ea6b226b4ed262766b70eb5d9813529defa3a283","title":"Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior","authors":[{"name":"P. Pavlou"},{"name":"Mendel Fygenson"}],"abstract":"","source":"Semantic Scholar","year":2006,"language":"en","subjects":["Psychology","Computer Science"],"doi":"10.2307/25148720","url":"https://www.semanticscholar.org/paper/ea6b226b4ed262766b70eb5d9813529defa3a283","is_open_access":true,"citations":2842,"published_at":"","score":80},{"id":"ss_8ace777428d84006477cfc15bae8b525544fc598","title":"What Trust Means in E-Commerce Customer Relationships: An Interdisciplinary Conceptual Typology","authors":[{"name":"D. McKnight"},{"name":"N. L. Chervany"}],"abstract":"","source":"Semantic Scholar","year":2001,"language":"en","subjects":["Computer Science","Psychology"],"doi":"10.1080/10864415.2001.11044235","url":"https://www.semanticscholar.org/paper/8ace777428d84006477cfc15bae8b525544fc598","is_open_access":true,"citations":2472,"published_at":"","score":80},{"id":"ss_878d62f663c6c96f2757c28bd7c9d788a87044b8","title":"What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model","authors":[{"name":"Jen-Her Wu"},{"name":"Shu-Chin Wang"}],"abstract":"","source":"Semantic Scholar","year":2005,"language":"en","subjects":["Engineering","Computer Science"],"doi":"10.1016/j.im.2004.07.001","url":"https://www.semanticscholar.org/paper/878d62f663c6c96f2757c28bd7c9d788a87044b8","is_open_access":true,"citations":2607,"published_at":"","score":80},{"id":"ss_b830deec429a34e33cd387932e267ffb54daa920","title":"What Drives Consumer Shopping Behavior in Live Streaming Commerce","authors":[{"name":"Xiaoyu Xu"},{"name":"Jen-Her Wu"},{"name":"Qi Li"}],"abstract":"","source":"Semantic Scholar","year":2020,"language":"en","subjects":["Business"],"url":"https://www.semanticscholar.org/paper/b830deec429a34e33cd387932e267ffb54daa920","is_open_access":true,"citations":506,"published_at":"","score":79.18},{"id":"ss_d725b6d0001e854c77c7d57386450b11ac23bd9e","title":"Artificial intelligence in E-Commerce: a bibliometric study and literature review","authors":[{"name":"R. Bawack"},{"name":"S. Wamba"},{"name":"Kévin D. Carillo"},{"name":"Shahriar Akter"}],"abstract":"This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes guidelines on how information systems (IS) research could contribute to this research stream. To this end, the innovative approach of combining bibliometric analysis with an extensive literature review was used. Bibliometric data from 4335 documents were analysed, and 229 articles published in leading IS journals were reviewed. The bibliometric analysis revealed that research on AI in e-commerce focuses primarily on recommender systems. Sentiment analysis, trust, personalisation, and optimisation were identified as the core research themes. It also places China-based institutions as leaders in this researcher area. Also, most research papers on AI in e-commerce were published in computer science, AI, business, and management outlets. The literature review reveals the main research topics, styles and themes that have been of interest to IS scholars. Proposals for future research are made based on these findings. This paper presents the first study that attempts to synthesise research on AI in e-commerce. For researchers, it contributes ideas to the way forward in this research area. To practitioners, it provides an organised source of information on how AI can support their e-commerce endeavours.","source":"Semantic Scholar","year":2022,"language":"en","subjects":["Computer Science","Medicine"],"doi":"10.1007/s12525-022-00537-z","url":"https://www.semanticscholar.org/paper/d725b6d0001e854c77c7d57386450b11ac23bd9e","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12525-022-00537-z.pdf","is_open_access":true,"citations":264,"published_at":"","score":73.92},{"id":"ss_c40a2fdc55454ccc9096abad6c0b961e278700d9","title":"E-commerce and consumer behavior: A review of AI-powered personalization and market trends","authors":[{"name":"M. Raji"},{"name":"H. B. Olodo"},{"name":"Timothy Tolulope Oke"},{"name":"Wilhelmina Afua Addy"},{"name":"Onyeka Chrisanctus Ofodile"},{"name":"A. Oyewole"}],"abstract":"In the dynamic landscape of electronic commerce (e-commerce), understanding and adapting to evolving consumer behavior is critical for the sustained success of online businesses. This review delves into the intersection of e-commerce and consumer behavior, focusing on the transformative role of Artificial Intelligence (AI)-powered personalization and its impact on market trends. The advent of AI has revolutionized the way e-commerce platforms engage with and cater to individual consumer preferences. AI-powered personalization techniques leverage advanced algorithms to analyze vast datasets, enabling the delivery of highly tailored and relevant content, product recommendations, and user experiences. This review explores the intricate mechanisms of AI-driven personalization, examining how it enhances customer engagement, satisfaction, and loyalty. Furthermore, the study investigates the prominent market trends shaped by AI in e-commerce. From chatbots and virtual assistants facilitating seamless customer interactions to predictive analytics optimizing inventory management, AI is driving innovation across various facets of the online retail landscape. The analysis delves into the integration of machine learning algorithms in predicting consumer preferences, streamlining the purchasing process, and fostering a more personalized shopping journey. As e-commerce continues to evolve, the review also explores the challenges and ethical considerations associated with AI-powered personalization. Issues such as data privacy, algorithmic bias, and the delicate balance between customization and intrusiveness are examined to provide a comprehensive understanding of the broader implications of AI in shaping consumer behavior. Ultimately, this review offers valuable insights into the symbiotic relationship between e-commerce and consumer behavior, shedding light on the transformative power of AI-powered personalization and its influence on emerging market trends. As businesses navigate the digital landscape, understanding and harnessing the potential of AI-driven strategies become imperative for staying competitive and meeting the evolving expectations of tech-savvy consumers.","source":"Semantic Scholar","year":2024,"language":"en","subjects":null,"doi":"10.30574/gscarr.2024.18.3.0090","url":"https://www.semanticscholar.org/paper/c40a2fdc55454ccc9096abad6c0b961e278700d9","pdf_url":"https://gsconlinepress.com/journals/gscarr/sites/default/files/GSCARR-2024-0090.pdf","is_open_access":true,"citations":181,"published_at":"","score":73.43},{"id":"ss_4ad8325724eab77f1d88a5350eb90e4bd67fc4cd","title":"An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce","authors":[{"name":"Chenxin Wang"},{"name":"S. Ahmad"},{"name":"A. Y. Bani Ahmad Ayassrah"},{"name":"Emad Mahrous Awwad"},{"name":"Muhammad Irshad"},{"name":"Yasser A. Ali"},{"name":"Muna S. Al-Razgan"},{"name":"Yasser Khan"},{"name":"Heesup Han"}],"abstract":"Artificial Intelligence (AI) has become essential to Electronic-Commerce technology over the past decades. Its fast growth has changed the way consumers do online shopping. Using the Technology Acceptance Model (TAM) as a theoretical framework, this research examines how AI can be made more effective and profitable in e-commerce and how entrepreneurs can make AI technology to assist in achieving their business goals. In this regard, an online survey was conducted from the online purchasers of e-commerce firms. The Partial Least Square (PLS) Smart was used to examine the data. The broadly used TAM was identified as an appropriate hypothetical model for studying the acceptance of AI technology in e-commerce. The findings of this study show that Subjective Norms positively impact Perceived Usefulness (PU) and Pursued Ease of Use (PEU), trust has a positive effect on PEU, and PEU positively impacts PU and attitudes toward use. Similarly, PU also has a positive effect on attitudes toward use and intention to use. Furthermore, the findings do not support the impact of Trust on PU and attitudes towards behavioural intention to use. Lastly, behavioural intention to use positively impacted the actual use of AI technology. This study adds theoretical and practical knowledge for adopting the TAM model in the E-commerce sector. It helps entrepreneurs to implement the TAM model in their business to use AI in a better and more appropriate way.","source":"Semantic Scholar","year":2023,"language":"en","subjects":["Medicine"],"doi":"10.1016/j.heliyon.2023.e18349","url":"https://www.semanticscholar.org/paper/4ad8325724eab77f1d88a5350eb90e4bd67fc4cd","pdf_url":"https://www.cell.com/article/S2405844023055573/pdf","is_open_access":true,"citations":213,"published_at":"","score":73.39},{"id":"ss_07ba39d346c61b33475adcb28e2c014651aceb96","title":"Impact of E-Commerce and Digital Marketing Adoption on the Financial and Sustainability Performance of MSMEs during the COVID-19 Pandemic: An Empirical Study","authors":[{"name":"Jianli Gao"},{"name":"Abu Bakkar Siddik"},{"name":"Sayyed Khawar Abbas"},{"name":"Muhammad Hamayun"},{"name":"Mohammad Masukujjaman"},{"name":"S. S. Alam"}],"abstract":"The COVID-19 pandemic has remarkably affected the business processes and performance of micro-, small-, and medium-sized enterprises (MSMEs) across the world. MSMEs have had to adopt and implement numerous strategies to sustain their businesses, and their financial and sustainability performance has been impacted by their choice of e-commerce (EC) platforms and digital marketing (DM) strategies. The objective of this research was to explore the effects of EC and DM platforms and strategies on facilitating MSMEs’ financial and sustainability performance amid the devastating COVID-19 pandemic. This study gathered data from 212 MSMEs from three districts of Bangladesh. A partial least squares structural equation modeling (PLS-SEM) approach was undertaken, to test the hypothesized model. The findings revealed that e-commerce had a significant association with MSMEs’ financial performance and sustainability amid the pandemic. It was also observed that digital marketing strategies had a substantial impact on MSMEs’ financial performance. However, the linkage between DM strategies and MSMEs’ sustainability was found to be insignificant. Furthermore, it was found that the financial performance of MSMEs mediated the relationship between e-commerce adoption and their sustainability performance. These findings contribute to the extant technology adoption literature, by exploring the role of e-commerce and digital marketing on firms’ financial outcomes amid a global pandemic. Managers and policymakers of small businesses can learn several things from this study, and understand how crucial digital commerce and digital marketing are to their success and long-term survival.","source":"Semantic Scholar","year":2023,"language":"en","subjects":["Medicine"],"doi":"10.3390/su15021594","url":"https://www.semanticscholar.org/paper/07ba39d346c61b33475adcb28e2c014651aceb96","pdf_url":"https://www.mdpi.com/2071-1050/15/2/1594/pdf?version=1673612995","is_open_access":true,"citations":190,"published_at":"","score":72.7},{"id":"ss_9e850ed11bacbb159ad12eb648a9bc43b13c291f","title":"Influence of Perceived Value on Consumers’ Continuous Purchase Intention in Live-Streaming E-Commerce—Mediated by Consumer Trust","authors":[{"name":"Yanyan Wu"},{"name":"Hongqing Huang"}],"abstract":"As an emerging e-commerce model that combines the convenience of traditional e-commerce with the real-time and interactive nature of live streaming, live-streaming (LS) e-commerce is loved and recognized by consumers. At the same time, LS e-commerce also faces many difficulties such as homogenization of marketing content and consumers’ low willingness to repeat purchase. Therefore, how to better stimulate consumers’ continuous purchase willingness in LS has become a hot topic of current research. Based on the stimulus–organism–response (SOR) model, this paper constructs a model of consumers’ purchase intention mediated by consumers’ trust in LS e-commerce, measuring consumers’ perceived value in LS e-commerce in three dimensions: utilitarian value, hedonic value and social value, and using consumers’ trust in the streamer and trust in the product as mediators to investigate the influence of perceived value on consumers’ continuous purchase intention. Data of Chinese users were collected by questionnaire survey to prove the assumptions of this paper. The results show that consumers’ perceived utilitarian value, hedonic value and social value significantly and positively influence their trust in the streamer; consumers’ perceived utilitarian value and social value significantly and positively influence their trust in product; trust in streamer significantly and positively influences their trust in the product; and consumer trust partially mediates the relationship between perceived value and consumers’ willingness to continue to purchase.","source":"Semantic Scholar","year":2023,"language":"en","subjects":null,"doi":"10.3390/su15054432","url":"https://www.semanticscholar.org/paper/9e850ed11bacbb159ad12eb648a9bc43b13c291f","pdf_url":"https://www.mdpi.com/2071-1050/15/5/4432/pdf?version=1677737957","is_open_access":true,"citations":180,"published_at":"","score":72.4},{"id":"ss_fe5f8c95598f71668ebce1d62b815c7f3f9ea519","title":"The Role of Influencers in Live Streaming E-Commerce: Influencer Trust, Attachment, and Consumer Purchase Intention","authors":[{"name":"Nan Chen"},{"name":"Yunpeng Yang"}],"abstract":"Live streaming e-commerce has emerged as a novel online marketing model. Drawing upon influencer marketing theory, this study examines the mechanisms through which influencers (live streamers) promote consumers’ purchase intention in the context of live streaming e-commerce. A sample of 449 valid questionnaires was utilized to test the proposed theoretical framework. The empirical research findings reveal that customer experience significantly and positively impacts both influencer trust and influencer attachment. Furthermore, trust and attachment established with live streamers are identified as two effective mechanisms influencing consumer decision-making. Notably, influencer attachment exhibits a stronger influence on consumer purchase intention compared to influencer trust. By comparing the effects of Taobao and Douyin live streamers on stimulating consumption and purchase intention, the study demonstrates that live streamers play a crucial mediating role between customer experience and consumer purchase intention. Specifically, the results indicate that consumer purchase intention influenced by top Taobao streamers is stronger than that of Douyin streamers, whereas influencer attachment for Taobao streamers is relatively weaker than that for Douyin streamers. These findings provide theoretical and managerial implications for platforms and live streamers seeking to stimulate robust purchase intentions among consumers by fostering attachment relationships. The establishment of an emotional connection between the live streamer and the audience proves particularly valuable in increasing purchase intention. This research contributes to the understanding of the underlying mechanisms driving consumer behavior in the context of live streaming e-commerce. It emphasizes the significance of customer experience, influencer trust, and influencer attachment as key drivers of consumer purchase intention. The findings offer valuable insights for platforms and live streamers to optimize their strategies and enrich user data labels in order to enhance consumer engagement and stimulate purchase intentions. Ultimately, this research contributes to the advancement of the live streaming e-commerce field, strengthens the application of data elements in live streaming e-commerce marketing, and guides effective decision-making by industry practitioners.","source":"Semantic Scholar","year":2023,"language":"en","subjects":["Computer Science"],"doi":"10.3390/jtaer18030081","url":"https://www.semanticscholar.org/paper/fe5f8c95598f71668ebce1d62b815c7f3f9ea519","pdf_url":"https://www.mdpi.com/0718-1876/18/3/81/pdf?version=1694501555","is_open_access":true,"citations":132,"published_at":"","score":70.96000000000001}],"total":701334,"page":1,"page_size":20,"sources":["arXiv","DOAJ","CrossRef","Semantic Scholar"],"query":"Commerce"}