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Journal articles on the topic 'Internet retailing'

To see the other types of publications on this topic, follow the link: Internet retailing.

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Published: 4 June 2021

Last updated: 12 February 2022

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1

Morton, Fiona Scott, Florian Zettelmeyer, and Jorge Silva‐Risso. "Internet Car Retailing." Journal of Industrial Economics 49, no. 4 (December 2001): 501–19. http://dx.doi.org/10.1111/1467-6451.00160.

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2

Mottner, Sandra, Shawn Thelen, and Kiran Karande. "A Typology of Internet Retailing." Journal of Marketing Channels 10, no. 1 (February 5, 2002): 3–23. http://dx.doi.org/10.1300/j049v10n01_02.

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3

Grewal, Dhruv, Scott Motyka, and Michael Levy. "The Evolution and Future of Retailing and Retailing Education." Journal of Marketing Education 40, no. 1 (February 1, 2018): 85–93. http://dx.doi.org/10.1177/0273475318755838.

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The pace of retail evolution has increased dramatically, with the spread of the Internet and as consumers have become more empowered by mobile phones and smart devices. This article outlines significant retail innovations that reveal how retailers and retailing have evolved in the past several decades. In the same spirit, the authors discuss how the topics covered in retail education have shifted. This article further details the roles of current technologies, including social media and retailing analytics, and emerging areas, such as the Internet of things, machine learning, artificial intelligence, blockchain technology, and robotics, all of which are likely to change the retail landscape in the future. Educators thus should incorporate these technologies into their classroom discussions through various means, from experiential exercises to interactive discussions to the reviews of recent articles.

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4

Jimeniz, Ed, and Shane Greenstein. "The Emerging Internet Retailing Market as a Nested Diffusion Process." International Journal of Innovation Management 02, no. 03 (September 1998): 281–308. http://dx.doi.org/10.1142/s1363919698000134.

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In this essay, we analyse the diffusion of the Internet and online retailing within the standard framework of diffusion to heterogeneous consumers. We show that many conditions favour the diffusion of Internet retailing in the short run, but not in the long run. We argue that the standard framework needs to account for the "nested" diffusion process. That is, the diffusion of online retailing depends on the diffusion of many other goods, whose underlying diffusion process is also changing. An understanding of these interrelated processes leads to a richer understanding of the prospects for the long-term diffusion of online retailing.

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5

Rowley, Jennifer. "Retailing and shopping on the Internet." International Journal of Retail & Distribution Management 24, no. 3 (April 1996): 26–37. http://dx.doi.org/10.1108/09590559610113411.

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6

Stamalieva, Aygerim, Vera Rebiazina, and Anna Daviy. "Consumer Experience in Russian E-Commerce Market: Testing the Customer Journey Model." Moscow University Economics Bulletin 2020, no. 1 (February 27, 2020): 104–34. http://dx.doi.org/10.38050/01300105202016.

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The internet-retailing market is rapidly developing in the recent years, with an increasing number of consumers making online purchases. Growing market competition brings about greater variety of products and brands, growing purchasing power and the possibility to switch to competitors' products in the internet. All these make the research on a consumer journey in the internet-retailing market relevant. This article presents the study of a consumer journey in the Russia's internet-retailing market. The results of the empirical research are based on the responses of 2567 consumers. To analyze the consumer journey, we use several quantitative methods: descriptive statistics, analysis of variance and Tukey's a posteriori multiple comparison test. In the course of the analysis, we describe four stages of consumer journey, as well as the main factors of loyalty formation. We identify groups of consumers that differ in their intention for future purchases and loyalty level based on the analysis of purchases' frequency. The findings may be useful for further research on a consumer journey in the Russian internet-retailing market.

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7

Kumar, Dinesh. "In Traditional Retailing: SCM (An Optimized Hybrid Architecture)." International Journal on Recent and Innovation Trends in Computing and Communication 6, no. 12 (December 31, 2018): 37–40. http://dx.doi.org/10.17762/ijritcc.v6i12.5293.

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Brick and Mortar Retailing, generally known as Traditional Retailing is facing stiff competition from a variety of sources. Not only has it to be competitive in terms of on-shelf availability of products on a wide range of products but also has to balance many factors such as optimization of inventory and warehousing, profiling for distribution centre layout and process design, inventory segmentation and partnerships, network location and order sourcing, etc. which have a direct impact on the cost to the end consumer. While many techniques such as distribution centre (DC) bypass and cross docking are widely used to decrease the lead time of delivering orders to the retailers, but its impact on cost is high. The Click and Mortar Retailing, generally known as Internet Retailing, on the other hand is able to provide a wider range of product selection compared to traditional retailing using partner DC and third party logistics (3PL) in addition to wholesaler DC and Internet Retailer DC. Using cheap modes of transportation, it leverages the cost to end consumers well. In this paper, we present a hybrid approach to traditional retailing taking important optimization cues from Internet Retailing to leverage cost favourably to the end consumer.

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8

O’Cass, Aron, and Tino Fenech. "Web retailing adoption: exploring the nature of internet users Web retailing behaviour." Journal of Retailing and Consumer Services 10, no. 2 (March 2003): 81–94. http://dx.doi.org/10.1016/s0969-6989(02)00004-8.

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9

Sauer, Chris, and Suzan Burton. "Is there a Place for Department Stores on the Internet? Lessons from an Abandoned Pilot." Journal of Information Technology 14, no. 4 (December 1999): 387–98. http://dx.doi.org/10.1177/026839629901400407.

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The potential of Internet retailing is widely promoted yet some retailers have been slow to embrace the technology. Department stores typically have only an information presence on the World Wide Web. This paper describes a pilot project by one of Australia's leading department stores. The case is used to describe certain lessons about Internet retailing and the use of pilot projects. Department stores’ decisions whether to adopt electronic retailing are analysed in terms of the opportunities and threats that face them and the capabilities required for success. The conclusion is reached that, as yet, there is no obvious place for established department stores on the Internet.

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10

Vučenović, Sonja. "Internet of things as innovative technology in retailing." Anali Ekonomskog fakulteta u Subotici, no. 39 (2018): 249–56. http://dx.doi.org/10.5937/aneksub1839249v.

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11

Anggraeni, Adilla, and Florenz Lay. "Drivers of Brand Trust in Internet Retailing." International Journal of Online Marketing 5, no. 4 (October 2015): 25–36. http://dx.doi.org/10.4018/ijom.2015100102.

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This study investigates the attributes that create brand trust in internet retailing through the replication of the work of Ruparelia, White and Hughes (2010) using two different purchase categories: apparels and travel accommodation. Quantitative methodology was employed through survey method involving 180 respondents. There are ten independent variables include website security, website privacy, website brand name, word-of-mouth, website design & navigation, information, returns policy, country of origin, past experience, advertising and testimonials and one dependent variable which is brand trust. Security, privacy, word of mouth, design & navigation, and past experience were proven to have direct linear effects towards web brand trust. On the other hand, brand name, information, returns policy, country of origin and advertising & testimonials have weak relationships with web brand trust. Respondents who purchased clothing apparel were more concerned of the country of origin than respondents who purchased ticket accommodation.

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12

Rowley, Jennifer. "Internet food retailing: the UK in context." British Food Journal 100, no. 2 (March 1998): 85–95. http://dx.doi.org/10.1108/00070709810204075.

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13

Grewal, Dhruv, Gopalkrishnan R. Iyer, and Michael Levy. "Internet retailing: enablers, limiters and market consequences." Journal of Business Research 57, no. 7 (July 2004): 703–13. http://dx.doi.org/10.1016/s0148-2963(02)00348-x.

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14

Garaus, Marion. "Confusion in internet retailing: causes and consequences." Internet Research 28, no. 2 (April 4, 2018): 477–99. http://dx.doi.org/10.1108/intr-11-2016-0356.

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Purpose The purpose of this paper is to introduce the new construct online shopper confusion and to identify online confusion causes and consequences. Design/methodology/approach Data obtained from a projective technique and a quantitative study were analyzed to identify online shopper confusion causes. Two experiments employing different stimulus materials tested the conceptualized consequences of online shopper confusion. Findings Confusing online store elements are classified into three online confusion causes. Data yielded from two experiments using fictitious and real shopping scenarios as stimulus material show that a confusing internet retail process leads to negative consumer reactions. Research limitations/implications The resulting taxonomy of confusing online store elements offers guidance on the creation of non-confusing online shopping trips, and highlights the relevance of a non-confusing internet retail process. Online shopper confusion is linked to negative behavioral reactions. Consequently, this research offers an explanation for undesirable consumer reactions in internet retailing. Practical implications The findings provide practitioners with concrete insights into how the internet retail process confuses shoppers which help to assess the confusion potential of their existing online stores and consider confusion issues in the development of new online stores. Originality/value This research is the first to explore confusion during the internet retail process. The multi-method approach offers highly valid insights into the causes and consequences of online shopper confusion.

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15

Jones, Ken, and Marco Biasiotto. "Internet retailing: current hype or future reality?" International Review of Retail, Distribution and Consumer Research 9, no. 1 (January 1999): 69–79. http://dx.doi.org/10.1080/095939699342688.

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16

Ruparelia, Nimisha, Lesley White, and Kate Hughes. "Drivers of brand trust in internet retailing." Journal of Product & Brand Management 19, no. 4 (July 20, 2010): 250–60. http://dx.doi.org/10.1108/10610421011059577.

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17

Francis, Julie E. "Category‐specific RECIPEs for internet retailing quality." Journal of Services Marketing 23, no. 7 (October 9, 2009): 450–61. http://dx.doi.org/10.1108/08876040910995248.

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18

Dinlersoz, Emin M., and Han Li. "The shipping strategies of internet retailers: Evidence from internet book retailing." Quantitative Marketing and Economics 4, no. 4 (August 25, 2006): 407–38. http://dx.doi.org/10.1007/s11129-006-9010-4.

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19

Katta, Rama Mohana Rao, and Chandra Sekhar Patro. "Consumers' Perceived Value in Internet Shopping." International Journal of Customer Relationship Marketing and Management 11, no. 2 (April 2020): 17–36. http://dx.doi.org/10.4018/ijcrmm.2020040102.

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In recent years, the trend of online retailing has become one of the most imperative uses of technology with the development and ease of accessibility of the internet. The activity of online shopping is considered to be one of the significant aspects of online retailing and has been emerging as an essential part of consumers' lifestyle. Besides various advantages, consumers feel different types of perceived risks involved in online shopping. Therefore, it is crucial to identify the factors affecting consumers' perception of value. The present study empirically examines the influence of perceived advantages and risks on consumers' perceived value in online shopping environments. The results posit that perceived advantages and perceived risks have a positive significant influence on consumers' purchase intentions. Further, perceived advantages show a significant relationship with consumers' perceived risks. The findings afford practical implications for online retailers to frame necessary strategies in enhancing perceived value.

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20

Hadden, Rosemary, and Ann Whalley. "The Branch is Dead, Long Live the Internet!!" International Journal of Market Research 44, no. 3 (May 2002): 1–13. http://dx.doi.org/10.1177/147078530204400304.

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21

Vrechopoulos, Adam P., Katherine C. Pramataris, Georgios I. Doukidis, and George D. Lekakos. "A user-support data framework for internet retailing." International Journal of Innovation and Learning 1, no. 1 (2003): 56. http://dx.doi.org/10.1504/ijil.2003.003615.

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22

Fahy, Colleen A. "Internet versus traditional retailing: An address model approach." Journal of Economics and Business 58, no. 3 (May 2006): 240–55. http://dx.doi.org/10.1016/j.jeconbus.2005.08.004.

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23

Jones, Colin, and Nicola Livingstone. "Emerging implications of online retailing for real estate." Journal of Corporate Real Estate 17, no. 3 (September 14, 2015): 226–39. http://dx.doi.org/10.1108/jcre-12-2014-0033.

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Purpose – This paper aims to initially explore the effects of online retailing on corporate real estate strategies today, examining current trends and the approaches of leading edge retailers in this evolving marketplace. The UK has the greatest proportion of online sales worldwide. Design/methodology/approach – Context is provided through existing literature, and the methodology considers specific case studies. Information from financial reports, websites and evidence directly from retailers is derived to examine selected sectoral responses (food shopping, fashion retailing and department stores) to online shopping. The research considers the interface between the virtual and physical retail landscapes. Findings – The Internet is undeniably driving change, and large retailers have responded by embracing multi-channel sales strategies in which the adapted physical store remains a central element. Research limitations/implications – The case studies are arguably limited in their market assessment by examining only large retailers, but it is these retailers who occupy much of the real estate space in shopping centres. Data on Internet sales and retail space of individual retailers are not publicly available. This paper offers a qualitative introduction into ongoing research on the evolution of Internet retailing today. Practical implications – For large retailers, a multi-channel corporate sales strategy is enhanced by physical stores that can act as showrooms and collection points and enhance consumer service. Multiple retailers have a competitive advantage in the form of store networks and a recognisable brand that they can exploit to capture the sales opportunities the Internet offers. Originality/value – The paper is the first to collate and analyse corporate real estate strategic responses to online retailing.

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24

Doherty, Neil F., and Fiona Ellis‐Chadwick. "Internet retailing: the past, the present and the future." International Journal of Retail & Distribution Management 38, no. 11/12 (October 12, 2010): 943–65. http://dx.doi.org/10.1108/09590551011086000.

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25

Whysall, Paul. "Retailing and the Internet: a review of ethical issues." International Journal of Retail & Distribution Management 28, no. 11 (December 2000): 481–89. http://dx.doi.org/10.1108/09590550010356840.

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26

Grewal, Dhruv, Jeanne L. Munger, Gopalkrishnan R. Iyer, and Michael Levy. "The influence of internet-retailing factors on price expectations." Psychology and Marketing 20, no. 6 (May 6, 2003): 477–93. http://dx.doi.org/10.1002/mar.10083.

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27

Rabinovich, Elliot, and Philip T. Evers. "PRODUCT FULFILLMENT IN SUPPLY CHAINS SUPPORTING INTERNET-RETAILING OPERATIONS." Journal of Business Logistics 24, no. 2 (September 2003): 205–36. http://dx.doi.org/10.1002/j.2158-1592.2003.tb00052.x.

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28

Francis, Julie E. "Internet retailing quality: one size does not fit all." Managing Service Quality: An International Journal 17, no. 3 (May 22, 2007): 341–55. http://dx.doi.org/10.1108/09604520710744335.

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29

Yang, Zhilin, Robin T. Peterson, and Shaohan Cai. "Services quality dimensions of Internet retailing: an exploratory analysis." Journal of Services Marketing 17, no. 7 (December 2003): 685–700. http://dx.doi.org/10.1108/08876040310501241.

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30

Vrechopoulos, Adam P. "Mass customisation challenges in Internet retailing through information management." International Journal of Information Management 24, no. 1 (February 2004): 59–71. http://dx.doi.org/10.1016/j.ijinfomgt.2003.09.013.

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31

Purohit, Santanu. "Technological transition from analog to internet of things ( IoT ) on Indian petro-retail’s customer service." Indian Journal of Science and Technology 13, no. 42 (November 14, 2020): 4364–68. http://dx.doi.org/10.17485/ijst/v13i42.1964.

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Objectives: To identify the gap in the adaptation of IoTs towards meeting the customer expectation for services in petro-retailing in India. Method: Review of available published research articles, case studies, published article in journals and websites on uses of IOTs in various sectors like retail, telecom manufacturing, supply chain management, oil & gas etc. Findings: Technological advances have had a significant impact on both consumers as well as industries. While internet changed the way human interact, Internet of Things (IoT) is expected to change the way machines interact. Adding a networked layer to regular objects has transformed the way we use and interact with them. Industries like healthcare, manufacturing, telecom, etc have seen significant changes with the introduction of IoT. Oil & Gas industry has also seen implementation of IoT but the adoption has varied according to sector. Upstream sector, involved in exploration and drilling, has seen significant adoption while Mid-stream sector, involved in transport and storage, has seen only specific application. IoT solutions have been used for cost optimization as well as improved operations management. Downstream sector (including refining and retail) has seen only limited adoption. Novelty: IoTs are the technology on which future society is going to ride. The use of IoT is going to have huge impact in service industry including petro retailing. Hence the analysis of gap in adaptation shall be helpful for the academician’s, managers in Oil & Gas industry for further review, study and implementation. Keywords: Internet of Things; Indian fuel retail; IOT in oil & gas; new technology adoption; customer experience

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32

Zhang, Tao, Guijun Zhuang, and Yuanyuan Huang. "A Literature Review on the Studies of Internet Retailing Management." Technology and Investment 01, no. 01 (2010): 19–25. http://dx.doi.org/10.4236/ti.2010.11003.

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33

Helfrich, Magdalena, and Fabian Herweg. "Context-dependent preferences and retailing: Vertical restraints on internet sales." Journal of Behavioral and Experimental Economics 87 (August 2020): 101556. http://dx.doi.org/10.1016/j.socec.2020.101556.

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34

Ming‐Sung Cheng, Julian, Edward Shih‐Tse Wang, Julia Ying‐Chao Lin, and Shiri D. Vivek. "Why do customers utilize the internet as a retailing platform?" Asia Pacific Journal of Marketing and Logistics 21, no. 1 (January 9, 2009): 144–60. http://dx.doi.org/10.1108/13555850910926290.

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35

Fenech, Tino, and Aron O’Cass. "Internet users’ adoption of Web retailing: user and product dimensions." Journal of Product & Brand Management 10, no. 6 (November 2001): 361–81. http://dx.doi.org/10.1108/eum0000000006207.

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36

Tanskanen, Kari, Hannu Yrjölä, and Jan Holmström. "The way to profitable Internet grocery retailing – six lessons learned." International Journal of Retail & Distribution Management 30, no. 4 (April 2002): 169–78. http://dx.doi.org/10.1108/09590550210423645.

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37

Levin, Eric J., and Robert E. Wright. "Regional Taxation and Retailing: The Economic Geography of the Internet." International Review of Retail, Distribution and Consumer Research 14, no. 3 (July 2004): 337–56. http://dx.doi.org/10.1080/09593960420001678390.

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38

LWIN, MAY O., and JEROME D. WILLIAMS. "Promises, Promises: How Consumers Respond to Warranties in Internet Retailing." Journal of Consumer Affairs 40, no. 2 (August 30, 2006): 236–60. http://dx.doi.org/10.1111/j.1745-6606.2006.00057.x.

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39

Vaccaro, Valerie L., and Gopalkrishnan R. Iyer. "Multichannel retailing and the internet: prospects, problems and strategic options." International Journal of Internet Marketing and Advertising 2, no. 3 (2005): 168. http://dx.doi.org/10.1504/ijima.2005.007745.

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40

Kramer, Kelly B. "Are Your Internet Retailing Practices Violating State Anti-Lottery Laws?" Gaming Law Review 5, no. 5 (October 2001): 427–29. http://dx.doi.org/10.1089/109218801753204388.

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41

Francis, Julie E. "Is C‐OAR‐SE best for internet retailing service quality?" Managing Service Quality: An International Journal 19, no. 6 (November 13, 2009): 670–86. http://dx.doi.org/10.1108/09604520911005062.

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42

Hjort, Klas, Daniel Hellström, Stefan Karlsson, and Pejvak Oghazi. "Typology of practices for managing consumer returns in internet retailing." International Journal of Physical Distribution & Logistics Management 49, no. 7 (August 20, 2019): 767–90. http://dx.doi.org/10.1108/ijpdlm-12-2017-0368.

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Purpose The purpose of this paper is to explore, describe and categorise practices of managing product returns empirically in internet retailing. Design/methodology/approach A multiple case study was conducted involving 12 e-commerce firms and 4 logistics service providers. An integrative data collection approach of semi-structured interviews, documentation and observations was used to gain comprehensive managerial and operational descriptions of returns management (RM) processes. Findings The findings show inconsistent RM processes, with a plethora of practices implemented and organised differently across firms. RM processes are ambiguous; their design is a result of incremental changes over time, lacking strategy and goals. There is a mismatch between how they are described and understood in the literature and how they are actually used. Practices in gatekeeping, avoidance and reverse logistics are defined and categorised. These serve as a typology of practices for managers to (re)consider, along with 15 propositions on how RM is practised. Research limitations/implications The range of RM practices and the processes reflect a lack of scholarly attention and strategic view. Research is needed to develop clear goals on how the RM process can be better aligned with business strategies. Practical implications The typology of practices is a benchmark for internet retailers in their design of efficient RM processes. Originality/value Systematic and empirical research on RM is scarce compared to forward management. The study bridges this gap as one of the first to describe RM practices in depth, define service as a key activity, and identify a mismatch between theory and practice.

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43

Mustakim, Mustakim. "Retailing in Electronic Commerce: Travel and Tourism Services Online." MAJESTY JOURNAL 1, no. 1 (January 30, 2019): 19–25. http://dx.doi.org/10.33487/majesty.v1i1.51.

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In recent years, the emergence of new tourism services and products, coupled with a rapid increase in tourism demand, have driven the wide-scale adoption of ITs in general, and in particular, the Internet as an electronic intermediary. In other words, the Internet serves as a new communication and distribution channel for e-travelers and suppliers of travel services and products. This new channel also enables tourism businesses to improve their competitiveness and performance. The aim of this paper is to highlight how retailing in e-commerce (travel tourism service online) according to the experts is, special services, such as wireless services, direct marketing, alliances and consortia, benefits and limitation of travel online service, the impact of EC on the travel industry, corporate travel and intelligent agents in travel services.

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44

Sadowski, Adam, Karolina Lewandowska-Gwarda, Renata Pisarek-Bartoszewska, and Per Engelseth. "A longitudinal study of e-commerce diversity in Europe." Electronic Commerce Research 21, no. 1 (March 2021): 169–94. http://dx.doi.org/10.1007/s10660-021-09466-z.

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AbstractOwing to increased access to the Internet and the development of electronic commerce, e-commerce has become a common method of shopping in all countries. The purpose of this study is more precisely to research e-commerce diversity in Europe at the regional level and develop the conception of “E-commerce Supply Chain Management”. Statistical data derived from the European Statistical Office were applied to analyse the spatial diversity of e-retailing. Assessments of the regional diversity of e-retailing applied geographic information systems and exploratory spatial data analysis methods such us global and local spatial autocorrelation statistics. Clusters of regions with similar household preferences related to online shopping were identified. A spatial visualisation of the e-retailing diversity phenomenon may be utilised for the reconfiguration of supply chains and to adapt them to actual household preferences related to shopping methods.

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45

Abratt, Russell, and Luis Henriques Da Silva. "Potential of the Internet as a Retailing Channel in South Africa." Journal of African Business 3, no. 3 (December 22, 2002): 69–90. http://dx.doi.org/10.1300/j156v03n03_05.

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46

Elliot, Steve, and Sue Fowell. "Expectations versus reality: a snapshot of consumer experiences with Internet retailing." International Journal of Information Management 20, no. 5 (October 2000): 323–36. http://dx.doi.org/10.1016/s0268-4012(00)00026-8.

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47

Vrechopoulos, Adam P., Katherine C. Pramataris, Georgios Doukidis, and George Lekakos. "An internet retailing data framework for supporting consumers and business processes." Information Systems Journal 13, no. 4 (October 2003): 353–73. http://dx.doi.org/10.1046/j.1365-2575.2003.00153.x.

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48

Ayanso, Anteneh, Moustapha Diaby, and Suresh K. Nair. "Inventory rationing via drop-shipping in Internet retailing: A sensitivity analysis." European Journal of Operational Research 171, no. 1 (May 2006): 135–52. http://dx.doi.org/10.1016/j.ejor.2004.07.060.

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49

Chiou, Jyh-Shen, and Lee-Yun Pan. "Antecedents of Internet Retailing Loyalty: Differences Between Heavy Versus Light Shoppers." Journal of Business and Psychology 24, no. 3 (May 8, 2009): 327–39. http://dx.doi.org/10.1007/s10869-009-9111-7.

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50

Kłosiewicz-Górecka, Urszula. "Retailing network in Poland – territorial diversification and changes." Wiadomości Statystyczne. The Polish Statistician 60, no. 11 (November 30, 2015): 69–79. http://dx.doi.org/10.5604/01.3001.0014.8264.

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This article aims to identify changes in the network of shops and points of a small-retail sale in the voivodships between 2009 and 2013. The dynamics of the number of stores and sales area, the share of large objects in the chain stores, the average store area, sales area per 1000 inhabitants, the number and the dynamics of markets and points of small-retail sale were analyzed. The analysis was conducted based on CSO data, as well as materials from secondary sources, including the Internet.

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