Sequences of Information and Communication Technology Use Keri K. Stephens Jan-Oddvar Sørnes Ronald E. Rice Larry D. Browning Alf Steinar Sætre.

Slides:



Advertisements
Similar presentations
Schools Where Technology Improves Learning Ron Anderson & Sara Dexter Project Co-directors Funding for this project was provided by a grant from the U.
Advertisements

Internet Search Lecture # 3.
Simple Regression Equation Multiple Regression y = a + bx Test Score Slope y-intercept Predicted Score  y = a + b x + b x + b x ….. Predicted Score 
1 Interactivity and Product Information Theory and Practice of Interactive Media COM 597 Fall Term 2004 Kathy Gill Don Mooers December 7, 2004.
Chapter Seventeen Copyright © 2006 McGraw-Hill/Irwin Data Analysis: Multivariate Techniques for the Research Process.
JOB ANALYSIS PLANNING METHOD SELECTION OBTAINING ACCEPTANCE.
ADMINISTRATION Sources of Information REVISION – BLOCK 6.
Qualitative Research Software C. Candace Chou, Ph.D Department of Curriculum and Instruction School of Education University of St. Thomas
Staffing Activities: External Recruitment
Copyright 2001 © IMD, Lausanne, Switzerland Not to be used or reproduced without permission Maznevski – Virtual Teams – 1 High Performance from Global.
information and communication technology by South African
Exploring Sources of Job Leads
]. Website Must-Haves Know your audience Good design Clear navigation Clear messaging Web friendly content Good marketing strategy.
Choosing and Implementing a Research Design Lauren Garcia-DuPlain The University of Akron English Composition 112.
LÊ QU Ố C HUY ID: QLU OUTLINE  What is data mining ?  Major issues in data mining 2.
Web 2.0 for Government Knowledge Management Everyone benefits by sharing knowledge March 24, 2010 Emerging Technologies Work Group Rich Zaziski, CEO FYI.
Hui-Jung Chang, Ph.D Department of Communication Michigan State University Professor Graduate Institute of Communication Fu-Jen Catholic University.
Introduction to E-commerce and Internet Marketing
The Internet A Wide Area Network across the world The network of networks –Lots of smaller networks joined together.
The Internet in Education Objectives Introduction Overview –The World Wide Web –Web Page v. Web Site v. Portal Unique and Compelling Characteristics Navigation.
Resume and Cover Letter Development Chapter 5. 5 | 2 Copyright 2012 Wadsworth © Cengage Learning. All rights reserved. The Big Picture Chapter 5 provides.
Integrating Educational Technology into the Curriculum
Audience, Purpose, & Context Who? Why? What?. Analyzing the Audience  Who will be reading, listening to, or using this material?  What particular characteristics.
Career Opportunities in Information Technology There are four main categories of IT jobs, grouped by the main focus of the job: Sales and support Software.
By Sushmitha. CONTENT CONTENT : What is internet ? How did internet develop ? Basic services of internet Uses of internet.
UNIT 14 1 Websites. Introduction 2 A website is a set of related webpages stored on a web server. Webmaster: is a person who sets up and maintains a.
Finding Credible Sources
1 © 2004 Cisco Systems, Inc. All rights reserved. Case Study Cisco Unity Voice Messaging Deployment: Communications Strategy November.
Mariya Potabenko GRID-Arendal Guest-researcher USE OF SOCIOLOGICAL SURVEYS FOR ASSESSING ENVIRONMENTAL INFORMATION NEEDS.
1 Sources of information on standardization and standards INFO International Organization for Standardization.
Information commitments, evaluative standards and information searching strategies in web-based learning evnironments Ying-Tien Wu & Chin-Chung Tsai Institute.
GRASP: Designing Objects with Responsibilities
Chapter 1 Foundations of Information Systems in Business.
Quality Management.
Understanding Mass Media, Convergence, and the Importance of Media Literacy Week One.
 Job evaluation is the process of systematically determining the relative worth of jobs to create a job structure for the organization  The evaluation.
How do I search the Internet? Narrow your topic and its description; pull out key words and categories.
Research Training for Technical Communication Master Students What’s Research got to do with it? By Jennifer L. Bowie Assistant Professor at Georgia State.
Career Planning.
Working Memory and Learning Underlying Website Structure
Department of Industrial Engineering Sharif University of Technology Session# 10.
Search Strategies & Catalog Instruction Frederic Murray Assistant Professor MLIS, University of British Columbia BA, Political Science, University of Iowa.
By Anthony W. Hill & Course Technology1 Troubleshooting Computer Problems.
Natcoms as Knowledge Brokers Castries UNESCO National Commissions as Knowledge Brokers Training Workshop for Documentalists of National Commissions.
Type author names here Social Research Methods Chapter 28: E-research: Internet research methods Alan Bryman Slides authored by Tom Owens.
Information Literacy, Search Strategies & Catalog Instruction Frederic Murray Assistant Professor MLIS, University of British Columbia BA, Political Science,
Conduct User Analysis Website Design With handout UseNeedsAnalysis.doc.
Chapter 4: Marketing on the Web. 2 How do you reach customers? Identify groups of potential customers Select the appropriate media Build the right message.
By: Julianna Leach.  PC Support Technician- They work on site and are responsible for in general maintenance.  PC Service Technician- Goes to customer.
Foundations of Information Systems in Business
Imposed Group Structures Chapter 9. Overview Background Information Background Information Structural PerspectiveStructural Perspective Input VariablesInput.
MIS 610: Seminar in Information Systems Management Yong Choi School of Business Administration CSU, Bakersfield.
SPK – 4 Golomazov Artem in my life. Hello! My name is Artem and I’d like to tell you about Information Technology by using Information Technology! It.
Pam Herrmann Career Advisor New River Community College This presentation is funded by a U.S. Department of Labor ETA grant award. This presentation is.
The Strategic Teacher Dr. Scott L. Roberts Central Michigan University.
LAB: Linguistics Annotated Bibliography – A searchable Portal for Normed Database Information Erin M. Buchanan, Kathrene D. Valentine, Marilee L. Teasley,
Supervisor: Tran Dinh Tri Group Members: Duong Ngoc Nhat-NhatDN01687 Nguyen Quang Minh-MinhNQ01717 Nguyen Quang Minh-MinhNQ01717 Duong Hoang Nam-NamDH01552.
Workforce Preparation  Resume  Cover Letter  Job Interview.
Applying and Interviewing
Local Points of Contact Webinar
KNOWLEDGE MANAGEMENT (KM) Session # 32
Chapter 8 Research: Gathering and Using Information.
Reading, Processing and Interacting with Hypertext on the Web
Who is the Expert? Combining Intention and Knowledge of Online Discussants in Collaborative RE Tasks Itzel Morales-Ramirez1,2, Matthieu Vergne1,2, Mirko.
Chapter 16: Distributed System Structures
The Knowledge Center.
LinkedIn Training.
An Introduction to Correlational Research
Measuring Knowledge Acquired From Information Text
Knowledge Sharing Mechanism in Social Networking for Learning
Presentation transcript:

Sequences of Information and Communication Technology Use Keri K. Stephens Jan-Oddvar Sørnes Ronald E. Rice Larry D. Browning Alf Steinar Sætre

Background “communication efficiency may rest on sequences or combination of media rather than isolated choices about a discrete ICT” (Walther & Parks, 2002, p. 534) Yet, our communication theories typically only consider discrete ICT use (a few mentions in Pieterson’s thesis)

Background Media Use Patterns: Discrete Simultaneous (multitasking) Sequential Follow up Combinations/Patterns

Background Some mention of prior research on multiple media channels in Pieterson’s thesis: US: 22% used multiple channels during last service encounter with government org Canada: 1.9 channels to obtain last used service

Background Pieterson results: some sequences due to “habit”, such as Internet then phone Most multiple channels in last two service contacts were same: web – web 77%; phone – phone 69%; post – post 43%; front desk – front desk 28% But: phone – 52%; phone – front desk 40%

Hypotheses & RQs Discrete ICT use Uses & Gratifications & empirical work by Flanagin & Metzger (2001) 10 motivations With 1 identified through interviews, grouped into five reasons

Hypotheses & RQs Sequential ICT use Media richness (multiple cues, timely) Information theory (redundancy) Cost minimization (access, error, delays, media transformations)

Hypotheses & RQs Sequential ICT use Why do people use sequences? Do reasons vary by sequence? Look at the follow-up medium more closely

Method N = 66 managerial and professional knowledge workers, diverse industries, all expert ICT users, from 64 organizations in variety of industries In-depth interviews, transcribed (2500 pages) “walk me through your typical day” “how do you use ICTs in your daily work” “how do you learn new job-related info”

Method Content analysis of interview data Used NVivo 4,448 sentences or qualifying units of analysis (out of 24,152 sentences) – coded into ICT used & reason for use – coded 328 mentions of sequences – acceptable inter-coder reliabilities (.92 sentence;.93 ICT;.79 use)

Method Most frequent coded: FTF (sending or receiving) Web (online access, searching) Computer (offline applications, software) Paper Telephone

Discrete ICT Use

Web most frequently used (37%), followed by (20%), FtF (14%), the computer (8%), paper (6%), and telephone (6.2%) Across all ICTs, information purposes are the most frequently stated reasons (63%) to use ICTs Web the most frequently used ICT (41%) to get information FtF used most frequently to persuade (46%) Computer used most frequently to document (48%)

Discrete ICT Use 10 discrete media associated with five reasons (chi-sq = 998, p<.001) Separately significant: Information: web more frequent; FTF and computer less frequent, than expected Persuasion: FTF and telephone more; Web, , paper, intranet less Documentation: , computer, intranet, database more; web, FTF, telephone less Social: FTF more; Web less

Sequential ICT Use Most frequent sequences: Web then FtF (N = 47), Computer then Web (N= 31), FtF then (N = 26), and Web then Computer (N = 25) ICT most frequently used second in a sequence is FtF (N = 74), followed by (N = 62) The six ICTs used second that are mentioned most frequently are the same six mentioned discretely, yet the frequency order differs

Sequential ICT Use What reasons do organizational members give for using ICT sequences? ICTs by Information, persuasion, documentation: chi-sq =98.9, p<.001 Separately significant: Persuasion: FTF- more frequent; computer-Web less frequent than expected Documentation: computer-Web more; Web-FTF less

Sequential ICT Use Created two ratio-level measures, normalized for number of codes per interview Percentage of mentions of each of five major reason categories Percentage of mentions of sequential ICT use Regression on % sequential use: R 2 adj. =.10 Either information, or persuasion (-.82) Persuasion only remaining significant individual predictor β =.26, p <.05

Sequential ICT Use – Follow-up ICT Follow-up ICT by reasons significant: chi-sq = 60, p<.001 Separately significant: Documentation: Web more frequent; paper less frequent than expected

Patterns of Sequential ICT Use Used first-second ICT pair matrix Entered into hierarchical clustering Plotted in Multidimensional scaling

Classification of Follow-up ICT Use Textual Linking Auditory Linking Textual Personal No instance found Textual Auditory Results from Hierarchical Cluster Analysis Connecting with Others Personal

Examples from Transcripts Most frequent: Web – FTF Preparing for FTF meeting Primarily information, then persuasion Used web to gather information and prepare, such as from customer’s web site, to be more credible Second most frequent: computer-web Individual work Documentation, information; ex: prepare ppt, search web for specific information

Discussion Supported Flanagin & Metzger’s (2001) work People trying to persuade are more likely to use sequences of ICTs The Web is used as a preparation step, and this use works well in the complex process of establishing source credibility Reinforcement of message in a textual ICT appears to be a persuasive strategy When paper & are used 2, nd the persuasion reasons for this use are more than when they are used 1 st.

Discussion Media Richness Theory and Information (uncertainty) Theory: Expand number of cues, redundancy, reduce errors Web followed by FTF (needed cues, reduce errors) FTF followed by (documentation, reduce errors; commitments, organize information)

Discussion Media Richness Theory As discrete ICTs, used least frequently for persuasion: Web (15%) (14%) Paper (7%)

Classifying ICTs & Linking to Theory ICTs found in the textual personal quadrant, paper and computer, used less frequently than the other four ICTs Suggests that ICT sequence are used to link people Media trait theories & social influences both matter and work together when considering sequential use

Classifying ICTs & Linking to Theory 1 st Consider if others need to be involved Degree of connection with others dimension Social influence (Fulk et al., 1990), & structurational views 2 nd Consider characteristics of textual or auditory Degree of availability of auditory information Media trait perspectives (Daft & Lengel, 1984, 1986)

Thank You! Questions? Complete Reference: Stephens, K., Sørnes, J. O., Rice, R. E., & Browning, L. (2008). Discrete, sequential, and follow-up use of information and communication technology by advanced ICT users. Management Communication Quarterly, 22(2),