Characterizing Web users' online information behavior

Although the body of literature pertaining to the study of micro, context-specific behavior on the Web is growing, there lacks a global, macro analysis as to the behavioral dimensions of Web users' online activities. In an attempt to fill in the gap, this study proposes a three-dimensional, cubic typology for the characterization of Web users' online information behavior. We discuss a set of hypotheses concerning the relationships among these dimensions as well as those between these dimensions and related behavioral aspects. Online panel data consisting of month-long clickstreams of 2,022 Web users obtained from InsightXplore, Taiwan are made available for the empirical validation of the hypotheses. We found that a Web user's width (i.e., number of categories of Web sites explored), length (i.e., number of sites visited per category), and depth (i.e., number of pages downloaded per site) of online information behavior are highly correlated. Furthermore, these three dimensions of the behavioral “cube” are positively associated with speed of navigation, but negatively associated with the Web users' explicit online information search propensity and the degree of relatedness among the sites they visited. © 2007 Wiley Periodicals, Inc.

[1]  James E. Pitkow,et al.  Characterizing Browsing Strategies in the World-Wide Web , 1995, Comput. Networks ISDN Syst..

[2]  Thomas F. Stafford,et al.  Identifying Motivations for the Use of Commercial Web Sites , 2001, Inf. Resour. Manag. J..

[3]  Ivan Herman,et al.  Graph Visualization and Navigation in Information Visualization: A Survey , 2000, IEEE Trans. Vis. Comput. Graph..

[4]  Donna L. Hoffman,et al.  Measuring the Customer Experience in Online Environments: A Structural Modeling Approach , 2000 .

[5]  Joemon M. Jose,et al.  How users assess Web pages for information seeking , 2005, J. Assoc. Inf. Sci. Technol..

[6]  Robert LaRose,et al.  Internet Gratifications and Internet Addiction: On the Uses and Abuses of New Media , 2004, Cyberpsychology Behav. Soc. Netw..

[7]  Anders Hektor Information activities on the Internet in everyday life , 2003 .

[8]  D. Tabatabai,et al.  How experts and novices search the Web , 2005 .

[9]  David Ellis,et al.  A Behavioural Approach to Information Retrieval System Design , 1989, J. Documentation.

[10]  Dennis L. Hoffman,et al.  Marketing in Hypermedia Computer-Mediated Environments : Conceptual Foundations 1 ) , 1998 .

[11]  Peiling Wang,et al.  Mining longitudinal web queries: Trends and patterns , 2003, J. Assoc. Inf. Sci. Technol..

[12]  G. Zauberman The Intertemporal Dynamics of Consumer Lock-in , 2003 .

[13]  Joan C. Durrance,et al.  Facilitating community information seeking using the Internet: Findings from three public library-community network systems , 2002, J. Assoc. Inf. Sci. Technol..

[14]  R. Grover,et al.  From Embedded Knowledge to Embodied Knowledge: New Product Development as Knowledge Management , 1998 .

[15]  Peter S. Fader,et al.  Dynamic Conversion Behavior at E-Commerce Sites , 2004, Manag. Sci..

[16]  William O. Bearden,et al.  VARYING THE CONTENT OF JOB ADVERTISEMENTS: The Effects of Message Specificity , 2006 .

[17]  J. Kari,et al.  Placing the Internet in information source horizons. A study of information seeking by Internet users in the context of self-development , 2004 .

[18]  P. Nelson Information and Consumer Behavior , 1970, Journal of Political Economy.

[19]  Hong Zhou,et al.  User information-seeking behavior in a medical Web portal environment: A preliminary study , 2004, J. Assoc. Inf. Sci. Technol..

[20]  Gary Marchionini,et al.  Information Seeking in Electronic Environments , 1995 .

[21]  David Miller,et al.  Web search strategies and human individual differences: Cognitive and demographic factors, Internet attitudes, and approaches , 2005, J. Assoc. Inf. Sci. Technol..

[22]  Kim Bartel Sheehan,et al.  Of Surfing, Searching, And Newshounds: A Typology Of Internet Users' Online Sessions , 2002, Journal of Advertising Research.

[23]  Mark Levene,et al.  Associating search and navigation behavior through log analysis , 2005, J. Assoc. Inf. Sci. Technol..

[24]  Olivia R. Liu Sheng,et al.  Analysis of the query logs of a Web site search engine , 2005, J. Assoc. Inf. Sci. Technol..

[25]  Julie L. Ozanne,et al.  A Study of Information Search Behavior during the Categorization of New Products , 1992 .

[26]  G. Stigler The Economics of Information , 1961, Journal of Political Economy.

[27]  John D'Ambra,et al.  Use of the World Wide Web for international travel: Integrating the construct of uncertainty in information seeking and the task-technology fit (TTF) model , 2004, J. Assoc. Inf. Sci. Technol..

[28]  Jarkko Kari,et al.  Towards a contextual model of information seeking on the Web , 2003 .

[29]  Joan C. Durrance,et al.  Public use of digital community information sstems: findings from a recent study with implications for system design , 2001, JCDL '01.

[30]  Amanda Spink,et al.  How are we searching the World Wide Web? A comparison of nine search engine transaction logs , 2006, Inf. Process. Manag..

[31]  Joonho Lee,et al.  End user searching: A Web log analysis of NAVER, a Korean Web search engine , 2005 .

[32]  R. LaRose,et al.  Understanding Internet Usage , 2001 .

[33]  G. Yule On the Methods of Measuring Association between Two Attributes , 1912 .

[34]  Soo Young Rieh On the Web at home: Information seeking and Web searching in the home environment , 2004, J. Assoc. Inf. Sci. Technol..

[35]  Sehchang Hah,et al.  Online search patterns: NLM CATLINE database , 1985, J. Am. Soc. Inf. Sci..

[36]  Spyros Makridakis,et al.  Forecasting and Planning: An Evaluation , 1981 .

[37]  Huberman,et al.  Strong regularities in world wide web surfing , 1998, Science.

[38]  Catarina Sismeiro,et al.  A Model of Web Site Browsing Behavior Estimated on Clickstream Data , 2003 .

[39]  Amanda Spink,et al.  Interaction in information retrieval: selection and effectiveness of search terms , 1997 .

[40]  Wendy W. Moe,et al.  The Influence of Goal‐Directed and Experiential Activities on Online Flow Experiences , 2003 .

[41]  Chun-Yao Huang,et al.  Modeling the Audience's Banner ad Exposure for Internet Advertising Planning , 2006 .

[42]  David Ellis,et al.  Uncertainty in Information Seeking , 2000, Inf. Res..

[43]  Sally Jo Cunningham,et al.  A transaction log analysis of a digital library , 2000, International Journal on Digital Libraries.

[44]  Eric J. Johnson,et al.  Behavioral decision research: A constructive processing perspective. , 1992 .

[45]  Vivian Cothey,et al.  A longitudinal study of World Wide Web users' information-searching behavior , 2002, J. Assoc. Inf. Sci. Technol..

[46]  Suresh K. Bhavnani,et al.  Why is it difficult to find comprehensive information? Implications of information scatter for search and design , 2005, J. Assoc. Inf. Sci. Technol..

[47]  Corinne Jörgensen,et al.  Image querying by image professionals , 2005, J. Assoc. Inf. Sci. Technol..

[48]  Peter S. Fader,et al.  On the Depth and Dynamics of Online Search Behavior , 2004, Manag. Sci..

[49]  Ingrid Hsieh-Yee,et al.  Effects of Search Experience and Subject Knowledge on the Search Tactics of Novice and Experienced Searchers. , 1993 .

[50]  D. L. Swanson,et al.  Understanding audiences: Continuing contributions of gratifications research , 1992 .