Academic literature on the topic 'Online bookstore'
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Journal articles on the topic "Online bookstore"
Chaudhary, Neelakamal. "IEEE Paper Based on E-Novels." Journal of Advanced Research in Embedded System 07, no. 01 (March 26, 2020): 8–10. http://dx.doi.org/10.24321/2395.3802.202002.
Full textGudinavičius, Arūnas. "Bookstores in Lithuania in 2013–2018: Less Physical Bookstores, Less Choice of Books." Knygotyra 75 (December 28, 2020): 162–98. http://dx.doi.org/10.15388/knygotyra.2020.75.65.
Full textGudinavičius, Arūnas. "Bookstores in Lithuania in 2013–2018: Less Physical Bookstores, Less Choice of Books." Knygotyra 75 (December 28, 2020): 162–98. http://dx.doi.org/10.15388/knygotyra.2020.75.65.
Full textZhai, Yunkai, and Wei Lu. "The Online Bookstore." MATEC Web of Conferences 100 (2017): 02045. http://dx.doi.org/10.1051/matecconf/201710002045.
Full textThakur, Amey. "Digital Bookstore." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 15, 2021): 1326–37. http://dx.doi.org/10.22214/ijraset.2021.36609.
Full textLiu, Bo. "Based on Asp Sales Management System Design and Implementation." Advanced Materials Research 1079-1080 (December 2014): 1107–10. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.1107.
Full textZhang, Feixiang, and Yang Yang. "Effects of Online Bookstores’ Perceived Quality on Consumer Loyalty: Consumer Satisfaction as a Mediator (Note 1)." International Journal of Business Administration 10, no. 6 (September 29, 2019): 32. http://dx.doi.org/10.5430/ijba.v10n6p32.
Full textChu, Chih-Peng, Wen-Chung Guo, and Fu-Chuan Lai. "On the competition between an online bookstore and a physical bookstore." NETNOMICS: Economic Research and Electronic Networking 13, no. 3 (October 2012): 141–54. http://dx.doi.org/10.1007/s11066-012-9068-y.
Full textRukmana, Evi Nursanti, and Neneng Komariah. "Strategi Pemasaran Informasi Toko Buku (Studi Kasus di Toko Buku Jatinangor, Sumedang)." Berkala Ilmu Perpustakaan dan Informasi 13, no. 2 (December 12, 2017): 131. http://dx.doi.org/10.22146/bip.28764.
Full textSandage, Erin. "Make an Online Bookstore Available to Members." Membership Management Report 15, no. 6 (May 9, 2019): 1. http://dx.doi.org/10.1002/mmr.31212.
Full textDissertations / Theses on the topic "Online bookstore"
Renzi, Adriano Bernardo. "Usabilidade na procura e compra de livros em livrarias online." Universidade do Estado do Rio de Janeiro, 2010. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=2019.
Full textHamnqvist, Fabian, and Emma Svensson. "Bokakademin i Östergötland AB möter framtiden : En studie av studenters köpbeteende vad gäller kurslitteratur och ett förslag på marknadsföringsstrategi för Bokakademin." Thesis, Linköpings universitet, Företagsekonomi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-103979.
Full textBakgrund Denna kandidatuppsats presenterar en marknadsundersökning genomförd vid Linköpings universitet. Fokus har legat på en specifik butik på Campus Valla och dess konkurrenssituation samt kundkrets, nämligen en butik tillhörande företaget Bokakademin i Östergötland AB, Bokakademin fortsättningsvis. Denna marknadsundersökning har genomförts våren år 2013 under författarnas sista termin på sin kandidatutbildning inom ämnesområdet företagsekonomi. Företagets VD har uppfattningen om att företaget står inför en hård konkurrens och vill därför informera sig om marknaden. Författarnas avsikt med denna undersökning har varit att kunna ge företaget en ökad förståelse för sin konkurrenssituation och ny kunskap om sina kunder. Bokakademin bedriver försäljning av kurslitteratur till studenter och på grund av internets utbredning råder idag mer transparens på marknaden än tidigare. Forskning har visat att kunder har blivit mer krävande och att de inte uppvisar en hög grad av lojalitet till återförsäljare, det råder alltså ökad konkurrens och en minskad kundlojalitet på den marknad som Bokakademins är verksam på. Av dessa skäl menar författarna att det är av relevans och intresse att undersöka och studera detta ämne, detta styrks av att tidigare forskning har bedrivits inom området. Syfte Syftet med denna uppsats är att undersöka studenters köpbeteende vid köp av kurslitteratur samt att utifrån denna information föreslå en lämplig marknadsföringsstrategi för Bokakademin att möta den nya marknadssituationen. Metod Den metodansats som uppsatsen har utgått ifrån är av induktiv karaktär då den har haft sin utgångspunkt i empiri, den empiriska data som har samlats in har legat till grund för den marknadsföringsstrategi som presenteras i uppsatsen. Det underlag som uppsatsen har baserats på har i första hand utgjorts av en enkätundersökning omfattande 200 respondenter ur Bokakademins potentiella kundkrets och målgrupp. Dessa respondenter har fått besvara frågor rörande deras köpvanor och köppreferenser vid köp av kurslitteratur, en kvantitativ undersökning har med andra ord genomförts. Utöver detta har en intervju med bokhandelns VD samt åtta stycken uppföljningsintervjuer med utvalda respondenter genomförts. Samtliga intervjuer har varit av mer samtalsliknande karaktär och kan anses utgöra kvalitativa informationskällor. Genom intervjuerna har författarna erhållit ytterligare data angående Bokakademin och dess kundkrets. För att uppnå ett mer kvalitativt djup i denna undersökning har författarna valt ut en respondent för att sedan jämföra denna persons uppfattning om hur mycket pengar denne spenderar på kurslitteratur per termin mot vad denne, enligt inhämtad kurs- och prisinformation, borde spendera på kurslitteratur per termin. Vad gäller den teori som presenteras i denna uppsats utgörs den främst av grundläggande teorier presenterade i Jobber och Fahy (2009) samt Blackwell et al. (2006). Denna litteratur har kompletterats med teoriavsnitt som återger teorier samt forskning av exempelvis Kotler (1999), Kotler et al. (2013), Wilson et al. (2012), Foucault och Scheufele (2002) samt Parment (2013).
Ho, Yu-Feng. "PDF Receipts: A micro-based-payment web service." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2714.
Full textChen, Yu-Hung, and 陳祐宏. "Online bookstore''s effects on the bookstore industry of Japan." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/16697564817656787363.
Full text淡江大學
日本研究所碩士班
93
First, this thesis aims to distinguish publisher from bookstore of Japan publishing industry by” Standard Industrial Classification for Japan” that’s made by “Statistics Bureau of the Ministry of Internal Affairs and Communications”. Then it briefly introduces each one from the upstream to the downstream of the Japan publication industry, and also the transaction ways between them. Moreover, for an understanding of Japan bookstore industry in detail, this thesis researches what are the original operation of this industry by Michael Porter’s five forces analysis. In addition, explanations for the background of the online bookstore’s rise are given, too. And then, five forces analysis is also taken to study what impacts and influences online bookstore brings to an original industrial environment. Thus, online bookstore’s rise promotes the reform of the system so that competitors or competition methods develop in multiple ways and it becomes quicker for the readers to obtain what they want. In this way, the whole industry is dedicated to make the whole industry infrastructure more perfect. Finally, POD arising from the Internet will bring a deeper and wider influences in the future.
Lin, Wei-Ting, and 林瑋庭. "Bookwall: An Online Bookstore Interface Based on User Experience in Physical Bookstore." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/63852242026172510820.
Full text國立臺灣大學
資訊網路與多媒體研究所
103
In recent years, online bookstore has highly thrived and changed consumption behavior; nevertheless, most users usually browse the online bookstore only when they have a specific target to buy. They still enjoy visiting real bookstores. One of the reasons is that information on web bookstore is too complex for users to freely browse. In this paper, we present Bookwall, an online bookstore interface designed based on user experiences in physical bookstores. We proposed four designs in this work, including ``category map'', ``gathering similar books'', ``visualizing methodology to highlight wanted books'', and ``wall view''. Category map is used to solve the problem of spending time on finding the particular category in classic category list on web bookstore. Similar books, like the same topics, series, same manufacturers, same author, and etc., are arranged together in physical bookstore. Gathering resembling books together enables users have more similar choices to browse or compare with each book. Visualizing technique is to highlight merchandises which meet users'' demands. For instance, books with high score and massive number of reviews will have more area in the wall layout. In this case, if users want to find popular books, they can just focus on the books with large space. Modified from grid view, wall view hides basic information and only show book cover (unless the cursor is pointed to the book) so that it can display more books than traditional list view or grid view. These four designs are based on our observation and field study in physical bookstore, and we finally proposed an online bookstore interface which includes the above four designs to improve user experience in web bookstore and increase their intentions to browse online bookstore.
Lu, Chih-Hao, and 盧志皓. "Study on Architecture-Oriented Online Bookstore System." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/98113387651212718112.
Full text國立中山大學
資訊管理學系研究所
101
Nowadays, enterprises are faced with rapidly changing in business environment and strong demand of high products quality from customer. In order to adapt to the intense business competition, we should develop an effective system. In fact, at this stage there are many methodologies about developing a system .A well-done approach of software analysis and design can reduce time and cost by reuse proven and validated solution to avoid redesign. This study uses the structure-behavior coalescence architecture description language (SBC-ADL) to construct the architecture-oriented online bookstore system (AOOBS). This model constructed by the SBC-ADL differs from other architecture description languages like UML (Unified Modeling Language). AOOBS uses six golden rules, which can help us to integrate the structure and behavior of a software system. Not only it interprets other meanings of the structure and behavior, but also describes the relationship between the structure and behavior. The purpose of the study was to compare the architecture-oriented online bookstore system and UML online bookstore system, and try to compare the advantages and disadvantages between them. In general, most manufacturing and high technology industries regard the methodology of developing a system as their critical tasks. Therefore, AOOBS maybe provides a standard model for other software developers to follow. By following this AOOBS, software developers can improve their efficiency and reduce developing time.
Liu, Chin-Hao, and 劉謹豪. "The Applications of Web Mining in Online Bookstore Marketing." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/37596557799445470511.
Full text中華大學
資訊管理學系(所)
96
The purpose of this research is to improve marketing efficiency of online bookstore by using data mining. Its principle is to apply association analysis and cluster analysis to produce personalized recommending book list for each customer to achieve one-to-one customizing service, and to increase the response rate or purchase rate. There were two kinds of data sources in this study: database data mining and web mining. In web mining, to determine the characteristics of customers, the number of web pages appeared the name of potential customers and the keywords of selling books are calculated by search engine from the Internet. Moreover, we used association analysis and cluster analysis to form association model and cluster model to build the community of customers and books. The e-marketing can be completed without customer database. Compared to conventional marketing response rate, which is only about 0.1~1%, the accuracy rate of web mining is up to 40-50%, and this is sufficient enough to increase new customers for online bookstores.
Chan, Jia-Ying, and 詹佳穎. "A Study of Browsing Patterns in an Online Bookstore." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/06956609775113965656.
Full text國立臺灣大學
圖書資訊學研究所
103
Browsing is a common information behavior of web users, thus the Internet is a new popular research context of browsing. However, the browsing patterns of web users have not been systematically studied. In addition, the impact of the Internet factors on browsing is not well understood. Accordingly, this study assumes that browsing experience in the web environment may different from the physical environment. Chang (1995) developed a multidimensional framework to describe ten browsing patterns. Chang (1995) identified five dimensions of browsing, including behavior, motivation, cognition, resource and context. Although Chang (1995) provided a systematically taxonomy of browsing pattens, the empirical research was conducted in the physical library. Therefore, the purpose of this research aims to verify the browsing framework of Chang (1995) in an online bookstore, comparing the differences between the web browsing and the physical browsing behavior. To discover browsing patterns in an online bookstore, total of 14 subjects whom has online bookstore experience were recruited. Bookland online bookstore was selected as the research website, because it contains abundant books. The experimental observation was conducted to observe the behavior, resource and context three dimensions. Meanwhile, following a semi-structured interview was employed to collect data from cognition and motivation two dimensions. Finally, online bookstore user’s browsing factors and behavioral characteristics of patterns were identified in the research. The results revealed that online bookstore users will exhibit these ten browsing patterns. The seeking intention of browser can be divided into the following types: looking for a specific item, looking for something with common characteristics, keeping up-to-date, learning and goal-free browsing. Online bookstore browsing patterns are influenced by a number of factors, especially movement factor. Users rely on diverse webpage links as an entry point, and their pathway knowledge, moving rapidly through online bookstore, examining parts of information objects (commodity). Most of the online bookstore information content is short and fragmented, and lack of the physicality of printed books. Nevertheless, online bookstore provides specific web features such as multimedia and book reviews. Moreover, abundant information displayed on the interface, which stimulates or shapes the user’s motivation easily, leading to the changes of seeking objects. It was discovered that the main difference between physical and online bookstore browsing, which is that users frequently change or cross their browsing patterns. In conclusion, online bookstore users often attracted by the new seeking objects when they browsing a website which has wealthy information. Therefore, users rapidly move to the target webpage, through the links or the search function on the website interface. Finally, products information has been examined, in order to satisfy user’s new motivations of browsing. The research gives some suggestions for website design and library service. Website interface could display diverse information and webpage links, for instance, using metadata links to aggregate items in multiple attributes or displaying rich information on homepage to shape browsing paths. Also, advertisements and special section could support user’s browsing purposes and arouse potential interests. On the other hand, it is suggested that library could set a multiple themes book area beside the entrance, design web guidelines for collections, and provide metadata links, abstract of books, recommendations on its online catalog.
Wang, Chueh-Ming, and 王覺明. "Antecedents and Consequences of Usage Intention of Online Bookstore." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/eax479.
Full text國立高雄應用科技大學
財富與稅務管理系碩士在職專班
102
The main purpose of this study is to validate and understand their readers using online bookstore and the factors that affects it. Research is based on " deconstruction theory of planned behavior "and using this structures to validate readers’ factors in " attitude" behavior , "subjective norms " and " perceived behavioral control " three dimensions , which affected readers’ " intended use " and " continued use behavior ". This research is limited on the time and funding. Therefore the subject is limilted to Kaohsiung city and South area of Taiwan online bookstore readers. The method of survey is “Convenience sampling” and collected 248 valid samples. And use these samples to do statistical analysis. This research using five-point Likert scale (Likert scale) to measure and predict with Cronbach's α value questionnaire , then using LISREL to confirmatory factors analysis, to measure “reliability andvalidity” Also using the dates from“analysis of descriptiveaccount”、”Pearson coefficient of correlationanalysis”、”Linear structurerelations analysis”and“analysis of variance” to confirmatory reseach’s measurements.The results of this rearch are shown below: 1. Internet bookstore readers’ attitudes and behavior of their perceived behavioral has a significant positive effect of ; online bookstore readers intention factor also has a significant positive effect . 2. Different age groups of online bookstore readers have significant different in purchase intention. Also different background alos affect their preference.
Tan, Xiang-Yang, and 陳嚮陽. "Library Recommender System – Integrating with Online Bookstore Consumer Behavior." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/b95fa8.
Full text國立交通大學
資訊管理研究所
103
Information overload and enhance the usage of low borrow library collections is the challenges of Library. Recommender Systems (RSs) is one of the best tool to overcome these challenges, but its’ always come along with the issues like privacy and data sparsity. This research aim to overcome the challenges and issues above with integrating consumer behavior from online bookstore. Proposed algorithm is Reference by Collaborative Filtering to infer the R-index for the target and the recommend books. The results show that by integrating data from online bookstore can reduce privacy and sparsity issues for recommender system and enhance the visibility of the low borrow collections.
Books on the topic "Online bookstore"
Balthasar, Dirk. Online-Buchhandlungen: Eine neue Vertriebsform für Medien im Internet. Bonn: Fachhochschule für das Öffentliche Bibliothekswesen, 1999.
Find full textClay, Karen. Prices and price dispersion on the web: Evidence from the online book industry. Cambridge, MA: National Bureau of Economic Research, 2001.
Find full textGoolsbee, Austan. Measuring prices and price competition online: Amazon, and Barnes and Noble. Cambridge, MA: National Bureau of Economic Research, 2002.
Find full textGoolsbee, Austan. Measuring prices and price competition online: Amazon versus Barnes and Noble. Chicago, Ill: American Bar Foundation, 2002.
Find full textDie Vorteilssituation von Innovatoren auf elektronischen Märkten: Strategische Relevanz des frühen Markteintritts am Beispiel des Online-Buchhandels. Wiesbaden: Deutscher Universitäts-Verlag, 2007.
Find full textDegiacomo, Lori, and Sandy Van Densen-Cade. The Online Bookstore Internet Guide. Windstorm Creative, 2000.
Find full textGreen, Judith S., Phyllis K. Pelikan, and Dolores F. Saxton. Mosby's Online Assesstest - Bookstore Version. C.V. Mosby, 2003.
Find full textSilvestri, Linda Anne. Saunders Online Specialty Test - Adult Health - Bookstore Version. C.V. Mosby, 2003.
Find full textSandy And Degiacomo Van Densen. Online Bookstores: The Best Websites. Orchard Academy Press, 2001.
Find full textBook chapters on the topic "Online bookstore"
Tao, Tao, Ningli Wang, and Haibo Lu. "Analysis and Design of Online Bookstore System." In Information and Business Intelligence, 747–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29084-8_115.
Full textMa, Jun. "The Risk Assessment for Dangdang Online Bookstore with Fuzzy Comprehensive Evaluation Method." In Future Computing, Communication, Control and Management, 337–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27326-1_44.
Full textWang, Yufen, Changjiang Li, and Chaohua Lu. "Design and Realization of the Online Bookstore System Based on Struts Framework." In Advances in Intelligent and Soft Computing, 207–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30223-7_33.
Full textJich-Yan, Tsai, Ye Xiu Wen, and Wang Chien-Hua. "A Framework for Big Data Analytics on Service Quality Evaluation of Online Bookstore." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 294–301. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52988-8_26.
Full textJug, Tjaša, and Maja Žumer. "Lost Identity – Metadata Presence in Online Bookstores." In Metadata and Semantic Research, 160–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70863-8_15.
Full textCollins, Jim. "“If You Can Read, You Can Write, or Can You, Really?”." In New Directions in Book History, 367–88. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53614-5_16.
Full text"The Online Bookstore Database." In SQL Clearly Explained, 301–8. Elsevier, 2003. http://dx.doi.org/10.1016/b978-155860876-4/50016-9.
Full text"Analysis and Design of Online Bookstore Based on J2EE." In International Conference on Information Technology and Computer Science, 3rd (ITCS 2011), 465–68. ASME Press, 2011. http://dx.doi.org/10.1115/1.859742.paper116.
Full textAbzug, Robert H. "Epilogue: Life after Life." In Psyche and Soul in America, 335–40. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780199754373.003.0026.
Full textBleakley, Chris. "Googling the Web." In Poems That Solve Puzzles, 143–58. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198853732.003.0008.
Full textConference papers on the topic "Online bookstore"
Hughes, Jose. "An online bookstore using JSP technology." In the 43rd annual southeast regional conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1167253.1167328.
Full textMu, Zhenhai, and Lizhen Jiang. "Online Bookstore Management System Based on Android." In 2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS). IEEE, 2018. http://dx.doi.org/10.1109/icvris.2018.00128.
Full textXue, Lin-Yan, Hong Wang, Shuang Liu, and Chao Li. "The application of data mining in online bookstore." In 2010 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2010. http://dx.doi.org/10.1109/icmlc.2010.5580892.
Full textZhang, Mingxi, and Chao Song. "A Framework for Discovering Similar Products from Online Bookstore." In 2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2015. http://dx.doi.org/10.1109/icicta.2015.14.
Full textLi, Fenglin, and Yan Huang. "Measuring the Service Quality of Online Bookstore: An Empirical Investigation." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5300872.
Full textZhang, Ming-Jun. "Application of ID3 Algorithm in Customer Management about Online Bookstore." In 2016 3rd International Conference on Mechatronics and Information Technology. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/icmit-16.2016.14.
Full textChien-Hua Wang, Li-Pang Wang, Wen-Hsun Chen, and Yi-Chung Hu. "Using fuzzy grey correlation TOPSIS evaluation for service quality of online bookstore." In 2007 IEEE International Conference on Grey Systems and Intelligent Services. IEEE, 2007. http://dx.doi.org/10.1109/gsis.2007.4443424.
Full textThimthong, T., T. Chintakovid, and S. Krootjohn. "An empirical study of search box and autocomplete design patterns in online bookstore." In 2012 IEEE Symposium on Humanities, Science and Engineering Research (SHUSER). IEEE, 2012. http://dx.doi.org/10.1109/shuser.2012.6268796.
Full textXue Linyan and Song Lijie. "Design and implementation of online bookstore based on ASP. net and data mining technology." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5622285.
Full textGreifeneder, Elke, and Maria Gäde. "Adventures in Winter Wonderland - observing user behaviour in a digital twin bookstore." In ISIC: the Information Behaviour Conference. University of Borås, Borås, Sweden, 2020. http://dx.doi.org/10.47989/irisic2028.
Full text