Jungwon Lee, Okkyung Jung, Ohsung Kim, Yunhye Lee, Cheol Park
{"title":"WEBSITE FEATURES INFLUENCING ONLINE SHOPPING MALL PERFORMANCE: MODERATING ROLE OF PRODUCT INVOLVEMENT","authors":"Jungwon Lee, Okkyung Jung, Ohsung Kim, Yunhye Lee, Cheol Park","doi":"10.7903/IJECS.1974","DOIUrl":"https://doi.org/10.7903/IJECS.1974","url":null,"abstract":"As the proportion of online shopping in the retail industry increases, studies on the effects of online shopping mall characteristics have been actively reported. However, research on the effects of new website features in the Web 2.0 environment and factors that moderate these effects is scarce. This study analyzed the relationship between website features and online shopping mall performance through hierarchical regression modeling by determining the features of 390 online shopping malls (e.g., decision aid, affiliate program, mobile app) and online shopping mall performance variables (i.e., revenue). The analysis results showed that most website functions have a positive effect on online shopping malls and that product videos and affiliate programs have different effects on online shopping mall performance depending on product involvement. Based on these results, practical implications were proposed.","PeriodicalId":38305,"journal":{"name":"International Journal of Electronic Commerce Studies","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43104337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on the status of e-commerce development based on big data and Internet technology","authors":"Chung-Lien Pan, Ya Liu, Yu-chun Pan","doi":"10.7903/ijecs.1977","DOIUrl":"https://doi.org/10.7903/ijecs.1977","url":null,"abstract":"Cross-border cooperation in big data, Internet technology, and e-commerce plays an important role in guiding the people-oriented development of technology applications. In order to provide the latest research fronts of e-commerce development in the new era, this study used the VOSviewer to systematically review the development status of e-commerce supported by big data and Internet technology on the basis of mapping 265 kinds of literature retrieved from The Web of Science database from 1989 to 2020. This paper produces a concise research cluster map based on the co-occurrence network of key phrase data. The clusters cover keyword overview, major countries, organizations, top-level sources, co-citation networks, and bibliographical coupling networks. The analysis of the key phrases map shows that there is still a big gap in the research of e-commerce. With the progress and popularization of the Internet, the public has become more and more interested in electronic transactions, and e-commerce has become more popular. The research on country and organization cluster shows that, with China, the United States, and the United Kingdom as the typical examples, countries with dominant data resources have a greater influence on the organization cluster and source cluster, and are more closely related to each other. To source coupled-cluster analysis and bibliography from a total of two aspects has carried on the more in-depth research, studies have shown that e-commerce topics focused on production and economic research subject, \"international journal of production research\", \"the mis quarterly\" and \"sustainability Basel \" are thought to be the highest rate in publications, in e-commerce and the network technology research field, the \"sustainability\" is the dominant top journals. At the same time, publications with high co-citation rates have a high degree of bibliographic coupling.","PeriodicalId":38305,"journal":{"name":"International Journal of Electronic Commerce Studies","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41454689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"EXPLORING THE COMPETITIVE ADVANTAGES OF AN INNOVATIVE ONLINE MUSIC PRODUCTION FRAMEWORK COMBINED WITH DEEP LEARNING","authors":"S. Weng, Hung-chia Chen","doi":"10.7903/IJECS.1933","DOIUrl":"https://doi.org/10.7903/IJECS.1933","url":null,"abstract":"This research constructs an online music production process framework, explains the operation process of the system process, and conducts comparative analysis, competitive analysis, and innovative business model analysis with the current industry situation, and finally puts forward conclusions. This research can provide strategic suggestions for future scholars and industry development. In this study, through the concept of internet plus, the framework process of Internet + and Deep learning combining music production system (I + DLMP) is proposed, and each work process and the main work content of each module in the system are described. This study uses upstream, midstream and downstream industry roles for comparison and uses an innovative operating model to describe the overall industry transformation. Through this research, we can more clearly see the blueprint for the future application development of music production, and provide operators with a competitive advantage strategy.","PeriodicalId":38305,"journal":{"name":"International Journal of Electronic Commerce Studies","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45254831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SINGLE STAGE DEEP TRANSFER LEARNING MODEL FOR APPAREL DETECTION AND CLASSIFICATION FOR E-COMMERCE","authors":"S. K. Addagarla, Anthoniraj Amalanathan","doi":"10.7903/IJECS.1953","DOIUrl":"https://doi.org/10.7903/IJECS.1953","url":null,"abstract":"Although many computer vision based object detection techniques are evolved in the past decade but suffers from inconsistent detection accuracy especially for multi-class classification problems. In this paper proposed an approach using Single Stage Deep Transfer Learning model (SS-DTLM) for multi-class apparel detection using customized YoloV3 algorithm by adapting 3-level Spatial pyramid pooling (SPP), a multi scale image feature extractor for faster and reasonable apparel detection and classification. This approach produced a reasonable Mean Average Precision (mAP), reliable object detection and classification. Our model trained and tested on Open Images Dataset (OIDV4) with 6 object classes and Custom built Apparel Dataset with 5 object classes of apparels. Finally Experimental Results are compared with base line Yolov3 and Yolov3-Tiny algorithms. Further this paper also emphasized various color spaces of the detected image using SS-DTLM by applying K-Means clustering algorithm for further analysis.","PeriodicalId":38305,"journal":{"name":"International Journal of Electronic Commerce Studies","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49211912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Athapol Ruangkanjanases, Pattanaporn Sirisrisakulchai, N. Sonata, B. Simamora
{"title":"Predicting Consumer Intention To Adopt Online Grocery Shopping: A Comparative Study Between Millennials In Thailand And Indonesia","authors":"Athapol Ruangkanjanases, Pattanaporn Sirisrisakulchai, N. Sonata, B. Simamora","doi":"10.7903/IJECS.1894","DOIUrl":"https://doi.org/10.7903/IJECS.1894","url":null,"abstract":"This study focuses on the behavioral intention to purchase groceries from virtual supermarkets by millennials. This research also aims to compare the influencing factors between Thai and Indonesian consumers. The study applies the Technology Acceptance Model (TAM), which is widely accepted to study technology adoption. The hypotheses are constructed to test four independent variables, which are social influence, perceived usefulness, perceived ease of use, and trust and security, and their effects on consumers’ attitudes and intention to purchase grocery online. This study uses a survey to collect data from 400 respondents, 200 who are Thai millennials and 200 who are Indonesian millennials. The results show that perceived usefulness and trust and security are significant factors affecting both Thai and Indonesian consumers’ intention to adopt online grocery shopping. In addition, perceived ease of use has an effect on the intention to adopt online grocery shopping only for Thai millennials while social influence has an effect only on Indonesian millennials’ intention to adopt.","PeriodicalId":38305,"journal":{"name":"International Journal of Electronic Commerce Studies","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44455600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigating The Effect Of Organizational Amnesia On The Performance Of Small And Medium Sized Enterprises","authors":"A. M. Sadat, Mei-Lan Lin","doi":"10.7903/IJECS.1891","DOIUrl":"https://doi.org/10.7903/IJECS.1891","url":null,"abstract":"This research aims to investigate organizational amnesia as the failure of organizations to learn reliably at the organizational level, and it is hypothesized to influence the SMEs’ performance. The authors examined indicators obtained from focus group discussion for representing organizational amnesia, then performed exploratory factor analysis based on a data survey of 200 participants from SMEs “Batik Trusmi” Cirebon in West Java to explore factors and retain firmed indicators. The empirical results found that all items representing organizational amnesia were formed into three factors: Undistributed Information, Employee Incompetence, and Knowledge Utilization. The first two factors are positively correlated to organizational performance, while the latter is negatively correlated. Those findings are expected to contribute significantly to the concept of organizational amnesia, particularly in SMEs. Conclusion and direction for future research are provided.","PeriodicalId":38305,"journal":{"name":"International Journal of Electronic Commerce Studies","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49517878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of Internet of Things on Marketing Intelligence and Business Strategy: An Organizational Capability Perspective","authors":"Wilson W. H. Weng","doi":"10.7903/IJECS.1906","DOIUrl":"https://doi.org/10.7903/IJECS.1906","url":null,"abstract":"Innovative developments in Internet of Things (IoT) have invoked tremendous attention from both academics and industries. Studies suggest that IoT not only serves as an innovative tool for enterprise operations but also triggers impacts on business performance. As researchers increasingly raise issues about the business value of IoT, this study examines its direct and indirect managerial effects by investigating the link between IoT and business strategy. Referring to the organizational capability perspective, this study constructed a research framework in which marketing intelligence capability mediates the effect of IoT capability on business strategy formation. An empirical survey was performed and an analysis of the data was conducted to test the hypotheses. The results confirmed the mediating role of marketing intelligence capability in the link between IoT capability and business strategy formation. Discussions with managerial implications are then elaborated.","PeriodicalId":38305,"journal":{"name":"International Journal of Electronic Commerce Studies","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41973284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Attributes tempting students’ online purchase intention; the mediating role of pre-purchase Searching","authors":"G. Abbasi","doi":"10.7903/IJECS.1841","DOIUrl":"https://doi.org/10.7903/IJECS.1841","url":null,"abstract":"ABSTRACT Purpose : The aim of this study is to examine the relationship between perceived usefulness (PU), perceived risk (PR) and online purchase intention (OPI). Furthermore, this study has endeavored to elucidate the mediating role of pre-purchase searching (PS) between perceived risk (PR) and perceived usefulness (PU) and online purchase intention. Methodology : This research is a correlational study and conducted among students of University Science Malaysia to examine the purchase intention for online shopping. The variables are neither controlled nor manipulated. Data would be collected from the students in Universiti Sains Malaysia who are online purchase consumers. Due to the small sample-size, non-normal data and scale of measurement are the reason why applying PLS-SEM. Findings : The results have supported the hypothesized direct and mediated relationship. Originality/Value : The present study encompasses the body of knowledge through testing the Theory Perceived Risk (TPR) and postulates empirical evidence on the hypothesized relationship. Moreover, this research study has contributed in the prevailing theory through assessing the mediating of pre-purchase intention by using partial least square structural modeling (PLS-SEM).","PeriodicalId":38305,"journal":{"name":"International Journal of Electronic Commerce Studies","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42653806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Felipe Escobar Ruiz, Sebastian Franco Castaño, Silvana Correa-Henao, J. A. Vélez-Muñoz
{"title":"Exploration of E-Commerce Research: A Bibliometric Analysis","authors":"Felipe Escobar Ruiz, Sebastian Franco Castaño, Silvana Correa-Henao, J. A. Vélez-Muñoz","doi":"10.7903/IJECS.1777","DOIUrl":"https://doi.org/10.7903/IJECS.1777","url":null,"abstract":"Electronic commerce is one of the technological tools that emerge as a response to the globalization phenomenon and society's high demand for more competitive companies. Many studies have addressed e-commerce from multiple perspectives and approaches. This study examines the field of electronic commerce knowledge through a bibliometric analysis, mainly embracing technology diffusion, adoption, and acceptance of a Scopus database comprising 226 articles from 2000 to 2020. To analyze the data, we used quality indicators, scientific impact, and structural elements. The results show that, although there is progress in research on electronic commerce, many of the issues addressed and methodologies used are still the objects of study in different countries.","PeriodicalId":38305,"journal":{"name":"International Journal of Electronic Commerce Studies","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41713215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}