Academic literature on the topic 'Internet shopping'

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Journal articles on the topic "Internet shopping"

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Roberts, Martyn, Xianzhong M. Xu, and Nekatarios Mettos. "Internet Shopping." Journal of Electronic Commerce in Organizations 1, no. 2 (2003): 32–43. http://dx.doi.org/10.4018/jeco.2003040103.

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Aronson, J. "Internet: Windows shopping." BMJ 318, no. 7194 (1999): 1359. http://dx.doi.org/10.1136/bmj.318.7194.1359.

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Mohd Suki, Norazah, T. Ramayah, and Norbayah Mohd Suki. "Internet shopping acceptance." Direct Marketing: An International Journal 2, no. 2 (2008): 97–110. http://dx.doi.org/10.1108/17505930810881752.

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Duong, Xuan-Lam, Shu-Yi Liaw, and Thi Giang Nguyen. "Factors Affecting Problematic Internet Shopping." International Journal of Cyber Behavior, Psychology and Learning 12, no. 1 (2022): 1–15. http://dx.doi.org/10.4018/ijcbpl.298689.

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The study aimed to examine internet shopping patterns and factors affecting problematic online shopping behavior among university students. A total of 364 Taiwanese university students were conveniently recruited online using the Online Shopping Addiction Scale (OSAS) to assess the severity of problematic internet shopping. Fisher’s exact test and hierarchical regression analysis were used to examine the difference among internet shoppers and explore the determining factors for problematic internet shopping. Results revealed that 2.47% of the students in our sample suffered from problematic in
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kimSangHee, Yang, Ji Hoon, 김경애, and PARKMANSUK. "Effect of Customer's Emotion Experienced during Internet Shopping On Shopping Behavior According to Internet Shopping Motivation." Management & Information Systems Review 30, no. 1 (2011): 1–37. http://dx.doi.org/10.29214/damis.2011.30.1.001.

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B£A ZÿEWICZ, JACEK, Mikhail Kovalyov, Jędrzej Musiał, Andrzej Urbanski, and Adam Wojciechowski. "Internet shopping optimization problem." International Journal of Applied Mathematics and Computer Science 20, no. 2 (2010): 385–90. http://dx.doi.org/10.2478/v10006-010-0028-0.

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Internet shopping optimization problemA high number of Internet shops makes it difficult for a customer to review manually all the available offers and select optimal outlets for shopping. A partial solution to the problem is brought by price comparators which produce price rankings from collected offers. However, their possibilities are limited to a comparison of offers for a single product requested by the customer. The issue we investigate in this paper is a multiple-item multiple-shop optimization problem, in which total expenses of a customer to buy a given set of items should be minimize
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Cheung, Christy M., and Matthew K. Lee. "Trust in Internet Shopping." Journal of Global Information Management 9, no. 3 (2001): 23–35. http://dx.doi.org/10.4018/jgim.2001070103.

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Khalifa, Mohamed, and Moez Limayem. "Drivers of Internet shopping." Communications of the ACM 46, no. 12 (2003): 233–39. http://dx.doi.org/10.1145/953460.953505.

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VIJAYASARATHY, LEO R. "Shopping Orientations, Product Types and Internet Shopping Intentions." Electronic Markets 13, no. 1 (2003): 67–79. http://dx.doi.org/10.1080/1019678032000039903.

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Ghodse, Hamid. "Internet pharmacies." International Psychiatry 3, no. 1 (2006): 1–2. http://dx.doi.org/10.1192/s1749367600001387.

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Shopping on the internet has become routine for many people and covers a wide range of products and services. It is therefore unsurprising that, in some countries, medical and pharmaceutical services can also be bought. This has clear advantages in countries such as Australia, where some communities are isolated by huge distances (or other geographical circumstances) but are able to access the internet. However, shopping for psychotropic substances is not quite the same as shopping for toothpaste or televisions. These drugs are subject to strict controls, including the requirement for prescrip
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Dissertations / Theses on the topic "Internet shopping"

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Kamarulzaman, Yusniza. "Adoption of Internet shopping for travel services." Thesis, Cardiff University, 2006. http://orca.cf.ac.uk/55606/.

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The study explores consumers' adoption of Internet shopping in the context of UK travel services. The key objective is to identify the profile of Internet shoppers and the antecedents of Internet shopping adoption for travel services. The study proposes a model for the prediction of Internet shopping adoption, drawing upon Davis' (1989) Technology Acceptance Model with the inclusion of individual characteristics, perceived risk and trust. The model identifies the structural relationships among the eight constructs (i.e. perceived usefulness, perceived ease-of-use, innovativeness, involvement,
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Lim, Sun Sun. "Internet shopping : a taxonomy of consumer online actions." Thesis, London School of Economics and Political Science (University of London), 2003. http://etheses.lse.ac.uk/1729/.

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This thesis applied the theory of activity and goal-directed action to the study of online shopping actions. It first studied qualitatively the structures of online shopping actions using the self-confrontation interview method. The qualitative findings established the structural, cognitive and dispositional dimensions of online shopping actions including knowledge and value structures, attention processes and flow. The typical behavioural traits of online shoppers were also identified. Findings also emerged about the tensions between consumers' online and offline actions and the consequences
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LISNYAK, TATYANA. "AN AGENT-BASED SYSTEM FOR INTELLIGENT INTERNET SHOPPING." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1026130092.

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Hogg, Margaret. "Conceptualizing and investigating patterns of consumer behaviour towards in-home shopping." Thesis, University of Manchester, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.560588.

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This research examines intermediate patterns of joint consumption whereby constellations, anti constellations and configurations are seen as representing patterns of consumption which lie between the traditional micro (product-centred) and macro (societal-centred) studies of consumption. A series of models are developed: of the relationship between individuals and consumption from a social psychological perspective of the formation of patterns of joint consumption and of the three forces which influence patterns of consumption: the symbolic-functional force (located in the product) the physiol
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Dabhade, Anjali Kwon Wi-Suk. "Antecendents of older consumers' internet shopping for apparel products perceived risk and benefits and shopping orientation /." Auburn, Ala, 2008. http://repo.lib.auburn.edu/EtdRoot/2008/SUMMER/Consumer_Affairs/Thesis/Dabhade_Anjali_54.pdf.

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Ha, Young. "Rural Ohio Consumers' Internet Apparel Shopping: Innovativeness, Perceptions, and Demographic Characteristics." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1380541737.

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Kumar, Shefali. "Consumers' Behavioral Intentions Regarding Online Shopping." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2634/.

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This study investigates the consumers' intention towards Internet shopping. The Theory of Planned Behavior is used to predict behavioral intention (BI), which is a function of attitude, subjective norm, and perceived behavioral control (PBC). The effects of demographic and personal variables on BI are also examined. Data analysis (n = 303) indicates that attitude, subjective norm, perceptions of behavioral controls, and previous purchases are significant predictors of behavioral intention. Product/Convenience, Customer Service (attitude factors), Purchase and Delivery, Promotional Offers, Prod
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Khan, Farahnaz L. "Visit versus Purchase: Comparing Internet Shopper Clusters." Cleveland, Ohio : Cleveland State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=csu1209738663.

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Thesis (M.A.)--Cleveland State University, 2008.<br>Abstract. Title from PDF t.p. (viewed on May 8, 2008). Includes bibliographical references (p. 121-127). Available online via the OhioLINK ETD Center. Also available in print.
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Lu, Xiaoming. "Relationship quality and customer loyalty in internet grocery shopping in the UK." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/8033.

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Despite the growing body of literature on online loyalty issues, little research has been conducted on the link between relationship quality (RQ) and customer loyalty in the context of Internet grocery shopping. The existing literature on electronic retailing does not explain the differences in loyalty across product and service categories. As shopping for groceries is generally an activity repeated at regular time intervals, consumers' behaviours is likely to be very different when purchasing goods and services which are only needed occasionally. Due to the frequency of grocery purchase, a re
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Proper, Astrid, and Mai Truong. "Internationalisering på internet : ursprungslandets & språkets betydelse vid köp på internet." Thesis, Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12810.

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Books on the topic "Internet shopping"

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Mantel, Barbara. Internet Shopping. CQ Press, 2013. http://dx.doi.org/10.4135/cqresrre20130628.

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Molenaar, Cor. Shopping 3.0: Shopping, the Internet or both? Ashgate Pub., 2010.

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Kasser, Barbara. Internet shopping yellow pages. Osborne/McGraw-Hill, 2000.

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Affairs, Canada Industry Canada Office of Consumer. Shopping on the internet: Get informed. Industry Canada, 1999.

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Borgwardt, Jens. Shopping im Internet: [Online vorteilhaft einkaufen. SmartBooks Pub., 1999., 1999.

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Arsis, Eddie. Internet shopping in the 21st century. Films for the Humanities and Sciences, 2002.

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Easton, Jaclyn. Shopping on the Internet and beyond! Coriolis Group Books, 1995.

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Geoff, Harris, ed. The Complete guide to internet shopping. Paragon Publishing Ltd, 1999.

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Kasser, Barbara. 2005 online shopping directory for dummies. Wiley Pub., 2004.

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Cowley, Richard J. Eshopper: America's print directory to shopping the Internet. James Pub., 1999.

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Book chapters on the topic "Internet shopping"

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Schneider, Dirk, and Philipp Gerbert. "Überlegene Internet-Marken schaffen." In E-Shopping. Gabler Verlag, 1999. http://dx.doi.org/10.1007/978-3-322-82265-9_7.

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Schneider, Dirk, and Philipp Gerbert. "Internet-Shops richtig gestalten." In E-Shopping. Gabler Verlag, 1999. http://dx.doi.org/10.1007/978-3-322-82265-9_8.

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Lamla, Jörn, and Sven Jacob. "Shopping im Internet." In Das Management der Kunden. VS Verlag für Sozialwissenschaften, 2005. http://dx.doi.org/10.1007/978-3-322-80718-2_9.

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McLean, Rachel, and Helen Richardson. "The Customer Rules and Other e-ShoppingE-shopping Myths." In Self-Service in the Internet Age. Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-207-4_9.

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Kempe, Michael. "Geschlechtsspezifische Unterschiede beim Online-Shopping." In Das Internet der Zukunft. Gabler, 2011. http://dx.doi.org/10.1007/978-3-8349-6872-2_15.

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Ecker, Thomas, and Jürgen Moormann. "Die Bank als Betreiberin einer elektronischen Shopping-Mall." In Internet Banking. Gabler Verlag, 1998. http://dx.doi.org/10.1007/978-3-322-84622-8_5.

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Munson, Jo, Thanassis Tiropanis, and Michelle Lowe. "Online Grocery Shopping: Identifying Change in Consumption Practices." In Internet Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70284-1_16.

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Hong, Ziyue, and Xiangdong Yang. "Internet Shopping Willingness Based on Internet Information Technology." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4775-9_120.

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Markham, Julian E. "Price, Convenience, Electronic Retailing and the Internet Store." In The Future of Shopping. Palgrave Macmillan UK, 1998. http://dx.doi.org/10.1007/978-1-349-14797-7_18.

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Cawsey, Alison, and Rick Dewar. "Case-Study: A Simple Shopping Site." In Internet Technology and e-Commerce. Macmillan Education UK, 2004. http://dx.doi.org/10.1007/978-1-137-05892-8_9.

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Conference papers on the topic "Internet shopping"

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S, Ramkumar, Saravanan R, Kanagaraj Venusamy, Rani Jabbar, and N. Jeevitha. "Smart Shopping and Cart Billing System Using Deep Learning." In 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI). IEEE, 2024. http://dx.doi.org/10.1109/icoici62503.2024.10696372.

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MENG, XIANGHUI, and Melinda A. Beninsig. "Intelligent application utilizing facial recognition to determine marketing strategies for shopping mall customers." In 4th International Conference on Internet of Things and Smart City, edited by Xinwei Yao and Francisco Falcone. SPIE, 2024. http://dx.doi.org/10.1117/12.3035267.

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P, Ali O., Ananth A, and Indu Unnikrishnan. "Enhancing Digital Content Security: Internet of Behaviors for Consumers during Online Shopping in Pandemic." In 2024 International Conference on Intelligent & Innovative Practices in Engineering & Management (IIPEM). IEEE, 2024. https://doi.org/10.1109/iipem62726.2024.10925786.

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Huang, Jianrong, Guohua Li, and Guowei Li. "Research on sentiment recognition in online shopping reviews using an integrated BERT and BiLSTM approach." In 4th International Conference on Internet of Things and Smart City, edited by Xinwei Yao and Francisco Falcone. SPIE, 2024. http://dx.doi.org/10.1117/12.3035076.

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Bhavani, N. P. G., Ch Bhanu, Sakthivel E, SK Chand Khathoon Bujji, R. V. Adkane, and Nidal Abbas. "Experimental Procedure to Design a Smart Shopping Trolley for Supermarkets by Using Internet of Things (IoT) Association." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910503.

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Lulaj, Enkeleda, Desi Tahiraj, Alaa Ali Hameed, and Donjeta Lulaj. "Seeing Isn’t Always Believing: Unveiling the Financial Risks of Fraudulent Images on Personal Finances in Online Shopping." In 2024 IEEE 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings). IEEE, 2024. https://doi.org/10.1109/aibthings63359.2024.10863626.

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Mohammadabbasi, Maryam, Seyed Mohammadbagher Jafari, and Gholamreza Jandaghi. "The Impact of E-Shopping Preference, Internet Involvement and Lifestyle Factors on High-Tech Products Adoption in Iran." In 2025 11th International Conference on Web Research (ICWR). IEEE, 2025. https://doi.org/10.1109/icwr65219.2025.11006248.

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Atchariyachanvanich, Kanokwan, and Noboru Sonehara. "Trust perception in internet shopping." In the 10th international conference. ACM Press, 2008. http://dx.doi.org/10.1145/1409540.1409552.

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Lee, Ook, and Mikyung Kim. "Internet and doctor shopping behavior." In Proceeding of the 2009 international workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1499224.1499289.

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Dorronsoro, Bernabe, Johnatan Pecero, Jedrzej Musial, and Jacek Blazewicz. "Internet Shopping Optimization Project (IShOP)." In European IST Projects - The Quest for Excellence Towards 2020. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0006144400160033.

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Reports on the topic "Internet shopping"

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Jacobsen, Nils. Linjebussens vekst og fall i den voksende byen: en studie av bybussenes geografiske kvalitet Stavanger – Sandnes 1920 – 2010. University of Stavanger, 2019. http://dx.doi.org/10.31265/usps.244.

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Linear city bus services are facing increased challenges from city growth. Increased number of inhabitants on increasing acres of built-up areas, makes it demanding to maintain adequate bus services within reasonable catchment areas. Number of departures per hour give a partial description of the bus service quality. Number of departures give reference to the time aspect of bus service quality, but say nothing about the geographical aspect. What part of the entire line network is within reach of direct bus service when frequencies are limited? To address the geographical aspect of bus service
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Drury, J., S. Arias, T. Au-Yeung, et al. Public behaviour in response to perceived hostile threats: an evidence base and guide for practitioners and policymakers. University of Sussex, 2023. http://dx.doi.org/10.20919/vjvt7448.

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Background: Public behaviour and the new hostile threats • Civil contingencies planning and preparedness for hostile threats requires accurate and up to date knowledge about how the public might behave in relation to such incidents. Inaccurate understandings of public behaviour can lead to dangerous and counterproductive practices and policies. • There is consistent evidence across both hostile threats and other kinds of emergencies and disasters that significant numbers of those affected give each other support, cooperate, and otherwise interact socially within the incident itself. • In emerg
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