weblogging 07

Weblogging: A study of social computing and its impact on

organization

Presenter: Han-Ming Jeffrey ChenInstructor: Dr. Pi-Ying Teresa Hsu

Date: Apr. 20, 2009

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Kwai, R. & Wagner, C. (2008). Weblogging: A study of social computing and its impact on organizations. Decision Support Systems, 45, 242-250.

Content

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Literature review

Introduction

Methodology

Result & Conclusion

Reflection

Introduction

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A recent survey from the Gallup Poll organization reported that 20% of the respondents participated in blogging activities and 28% of them were aged 18–29.

(from: http://www.editorandpublisher.com/eandp/news/article_display.jsp?vnu_content_id=1001957922)

Introduction

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The most commonly used social networking technologies are discussion boards, real time chat, P2P newsgroups, and listservs.

(Lee, Vogel, & Limayem, 2002)

Introduction

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Social computing is defined as any type

of computing application that serves as an

intermediary or a focus for a social relation.

(Schuler, 1994)

Literature Review

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Background on weblogging

Popular weblog technology feature

Background on weblogging

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The term weblog was first coined by John Barger in December 1997.

(Bausch, Haughey, & Hourihan, 2002)

Three generations of weblog

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First Generation

first-person diaries, with the focus of being a “log of the Web”

Second Generation

more between weblog communication features, including the important “permalink” (permanent URL to each individual weblog entry).

Three Generation

application blogs, which provide practical applications for the webloggers to use

(Du & Wagner, 2006)

Popular weblog technology feature

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Bulletin a broadcasting feature for disseminating messages to community members

Commentaryallowing community members to add comments on other weblogs

Eprop show how good a weblog is by other webloggers

Permalinka permanent URL to each individualweblog entry

Popular weblog technology feature

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Skin/Schemepredefining templates for webloggers to design their websites

Syndicationallowing webloggers be notified when their interested weblogs are updated

Metro/Bloging/

Community

groups of webloggers in same geographical region or with a shared interest to interact together

Methodology

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33 college students

20-22(all but two were young adults)

Different universities in Hong Kong (a Chinese speaking city)

Individual interviewby Hourglass Approach

Around 30 minutes

Participant

Age

Place

Method

Period

Result

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Characteristics of different user types

Habitual(enthusiastic

)

Blogging lurker

Active Personal

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Habitual Active Personal Blogging luker

Frequency Several times a day

Once daily Once daily Not fixed

Duration Hours per day Around 1hour per day

Depends on own needs

Not fixed

Peer influence

High High Low Unknown

Group belonging

Strong Strong Weak/none Unknown

Preferred tools

•Community building•Journal writing

•Community building•Journal writing

•Journal writing•Content management

None

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Users Technological needs

Habitual (enthusiastic)

• Content management tools• Community building tools• Search by category• Commentary • Time structuring

Active• Content management tools• Community building tools• Search by category• Commentary

Personal • Content management tools• Secure closed blog

Blogging luker

• Reading

Conclusion

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Impact on organizational computing

Emergent model of needs-technology fit model

Needs-technology fit model

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Needs (Social) Technology

Needs-Technology Fit

Usage Type

Impact on organizational computing

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Impact on the internal organizational environment

A number of “open-minded” companies have adopted instant messaging for internal communication between employees as well as external communication between business partners, with good results.

Impact on organizational computing

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Impact on customer relationships

Marketing departments will be to adopt the weblog medium (technology) and mode (voice), to interact with the most intensive weblog users, but also to at least change the mode of communication for customers becoming used to the “voice of the Web.”

Reflection

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Bloggers’ innovative characteristics

Quality relationship

Innovation adaptation

Characteristics of different user types

Productattributes

Thank you for your attention!