Consumer web search behaviour: diagrammatic illustration of wayfinding on the web

Hodkinson, Christopher; Kiel, Geoffrey C.; McColl‐Kennedy, Janet R.

doi:10.1006/ijhc.1999.0357

Cited by 40 publications

(34 citation statements)

References 43 publications

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“…However, since information in online environments is highly visual and perceptual, it potentially increases cognitive costs that affect consumers' search for information (Chiang 2006). Furthermore, information search online is characterized by human-computer interaction requiring consumers to have increased ability and knowledge in acquiring information (Hodkison et al, 2000). As a result, the Internet can impose a certain degree of cognitive cost on consumers that could potentially prevent consumers from searching for more information.…”

Section: Theorymentioning

confidence: 99%

Search Costs, Demand Structure and Long Tail in Electronic Markets: Theory and Evidence

Ghose

2006

SSRN Journal

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It is well known that the Internet has significantly reduced consumers' search costs online. But relatively little is known about how search costs affect consumer demand structure in online markets. In this paper, we identify the impact of search costs on firm competition and market structure by exploring a unique theoretical insight that search costs create a kink in aggregate demand when firms change prices. The significance of the kink reflects the magnitude of online search costs and the kinked demand function provides information on how search costs affect competition in the online market. Using a dataset collected from Amazon and Barnes & Noble, we find that search costs vary significantly across online retailers. Consumers face low search costs for price information from Amazon.com. It leads to a higher price elasticity when the firm reduces prices than when it increases prices, increasing Amazon's incentive to engage in price competition. On the other hand, consumers face relatively higher search costs for price information from Barnes & Noble. This leads to a lower price elasticity when Barnes & Noble reduces prices than when it increases prices, reducing Barnes & Noble's incentive to engage in price competition. We also find that search costs decrease with the passage of time as the information about price changes dissipates among consumers, leading to increased price elasticity over time. Finally, we highlight that search costs are lower for popular books compared to rare and unpopular books. These findings have implications for the impact of the Internet on the Long Tail phenomenon.

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Section: Theorymentioning

confidence: 99%

Search Costs, Demand Structure and Long Tail in Electronic Markets: Theory and Evidence

Ghose

2006

SSRN Journal

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“…A lot of researchers paid attention to the quality assessment of website (Aladwani, 2006;Collier & Bienstock, 2015;Cuddihy & Spyridakis, 2012;Dholakia & Zhao, 2009;Guseva, 2010;Hasan & Abuelrub, 2011;Lee & Kozar, 2012;Rocha, 2012;Saremi, Abedin, & Kermani, 2008;Shejul & Padmavathi, 2015;Subramanian, Gunasekaran, & Yu, 2014;Wang, Yeh, & Yen, 2015;Zhang & Dran, 2000), customer behavior (Alzola & Robaina, 2010;Bressolles & Durrieu, 2010;Dennis, Merrilees, Jayawardhena, & Wright, 2009;Hamid & McGrath, 2015;Hodkinson, Kiel, & McColl-Kennedy, 2000;Yue & Chaturvedi, 2000;Maditinos & Theodoridis, 2010;Rahim, 2014;Su, Li, Song, & Chen, 2008), marketing communication tools such as: research in the area of web advertising efficiency (Moore, Stammerjohan, & Coulter, 2005;Richardson, Ganz, & Vallone, 2014), social media usage in different communication models (Agnihotri, Dingus, Hu, & Krush, 2015;Chan & Guillet, 2011;E Constantinides, 2015;de Vries, Gensler, & Leeflang, 2012;Jarvinen, Tollinen, Karjaluoti, & Jayawardhena, 2012;Kärkkäinen, Jussila, & Väisänen, 2010;Laroche, Habibi, & Richard, 2013;Michaelidou, 2011;Pabedinskaitė & Davidavičius, 2012;Riemer & Richter, 2010). It is important that social media us...…”

Section: Previous Researchmentioning

confidence: 99%

Features of food industry on the Internet: A case of Lithuania

Davidavičienė

Sabaitytė

Davidavičius

2017

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Abstract:The objective of this paper is to identify and present the current situation of Lithuanian food industry sector in terms of online presence, use of e-marketing tools and internet strategy implementation, paying attention to food manufacturers, marketers, and food delivery (including fast food and restaurants). The following methods as comparative analysis of the scientific literature, secondary data analysis, data comparison and logical grouping, graphical representation of data, and descriptive statistics employed. For empirical study, it was decided to investigate online activities of the food industry sector of Lithuania using structured observation technique. Following assumptions were formed after study: companies of food industry are more oriented to Russia than to European market, and Baltic market is really important for this sector. It is necessary to investigate food industry sector activities and strategies in other regions, and to develop model of Internet strategy forming for food industry by online presence decisions. The originality of this work lies in studying some aspects of strategic and tactical decisions related to online presence of food industry companies of Lithuania.

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“…Song and Zinkhan, 2008;Yadav and Varadarjan, 2005;Fiore et al, 2005;Novak, 1996/1997;Hamel, 1998;Aldridge et. al, 1997;Varadarajan & Yadav, 2002;Rowley, 2001;Venkatraman andHenderson, 1998, Doren et al, 2000;Parsons et al, 1998;O'Connor and O'Keefe, 1997;Hodkinson et al, 2000;Chaffey, 2000. Communication between the company and its customers occurs in two directions, from the company to the customers and from the customers to the company. This is a departure from the traditional mass communication models that assume a passive consumer.…”

Section: Characteristicsmentioning

confidence: 99%

“…, one-to-one marketing Yadav and Varadarjan, 2005;Day and Bens, The interactive nature of the internet provides an alternative to mass 2005; Hoffman and Novak and Chatterjee, 1996;Weiber and Kollmann, 1998;Bakos, 1998;Shama, 2001;Hamel, 1998;Bitner et al, 2000;Hodkinson et al, 2000;Watson & Zinkhan,1997;Venkatraman and Henderson, 1998;Chaffey, 2000. media communication by allowing a more personalized communication that can serve the needs of individual customers. With the Increased "addressability" of this communication (Blatterberg and Deighton, 1991), firms are able to send content to smaller groups of customers or even to individual customers.…”

Section: -Customizedmentioning

confidence: 99%

The Adoption of Web-Based Marketing in the Travel and Tourism Industry: An Empirical Investigation in Egypt

Hussein¹,

Ennew²,

Kortam³

2012

JIMSME

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Consumer web search behaviour: diagrammatic illustration of wayfinding on the web

Cited by 40 publications

References 43 publications

Search Costs, Demand Structure and Long Tail in Electronic Markets: Theory and Evidence

Search Costs, Demand Structure and Long Tail in Electronic Markets: Theory and Evidence

Features of food industry on the Internet: A case of Lithuania

The Adoption of Web-Based Marketing in the Travel and Tourism Industry: An Empirical Investigation in Egypt

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