Academic Data Collection in Electronic Environments: Defining Acceptable Use of Internet Resources

Allen, Gove N.; Burk, Dan L.; Davis, Gordon B.

doi:10.2307/25148741

Cited by 45 publications

(24 citation statements)

References 23 publications

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“…Such agents can be used to enhance research in social contracts. Internet agents used to collect information from virtual communities should follow standard ethics (Allen et al, 2006) and design principles (Kauffman et al, 2000). The data collected can then be used in design science work to develop market research tools.…”

Section: Implications For Future Researchmentioning

confidence: 99%

How can virtual communities create value for business?

Spaulding

2010

Electronic Commerce Research and Applications

149

119

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Virtual communities include everything from discussion boards to massive multiplayer online role-playing games and virtual realities such as Second Life. The business world has assumed that virtual communities can be leveraged to provide access to consumers and consumer data. The benefits of this assumption have not always been realized. The purpose of this article is to understand why some business ventures into virtual communities fail and others succeed. Why do virtual communities support certain types of business activities and not others? Which firm activities are the best candidates to benefit from being positioned in virtual communities? The theories of social contracts and trust explain how firms can successfully participate in virtual communities. The theories have implications in the context of transaction-oriented, interestoriented, relationship-oriented, and fantasy-oriented communities. The value chain provides an instructive background to understand which firm activities are candidates for being included in virtual communities. Success in virtual communities depends on an attitude of contribution, dedication of resources, building a critical mass, and matching community and business needs. Because many social technologies are in the disillusionment stage of the hype cycle, further research in the business use of virtual communities is needed to guide business practices as we move to full adoption.

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Section: Implications For Future Researchmentioning

confidence: 99%

How can virtual communities create value for business?

Spaulding

2010

Electronic Commerce Research and Applications

149

119

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“…To obtain the data, I used a hybrid manual and automated digital collection process whereby I respected and followed all of the website's policies and procedures (Allen, Burk, & Davis, 2006). I downloaded and analyzed all rating activity in the feedback system in the TPC Cubicle between March 1 and May 31, 2011.…”

Section: Methodsmentioning

confidence: 99%

Noise or Quality? Cross-Nested Hierarchical Effects of Culture on Online Ratings

Mattson¹

2017

CAIS

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Abstract:Previous feedback system research in a variety of contexts has focused on the impact that ratings (as proxies for quality) have on a variety of social and economic outcomes with equivocal findings. These mixed findings may be partially due to noise (factors not related to quality) embedded in aggregated or average positive and negative ratings. One significant source of ratings noise may come from culturally diverse raters' issuing ratings in virtual environments. Culture impacts how groups of individuals are socialized to behave and think, which may result in members' having different attitudes towards publicly downgrading (negative ratings) or praising (positive ratings) other members in the feedback system. In this paper, I investigate how culture influences rating practices specifically in public electronic knowledge sharing communities. Using a cross-nested hierarchical linear model, I demonstrate empirically that cultural differences at the community, occupation, and national levels interact in unique ways to increase or decrease an individual's propensity to give and receive a positive or a negative rating. My study contributes to the literature on rating systems along with having practical ramifications for the designers of feedback systems.

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“…The literature argues that many academics use the Internet for academic purposes, such as general information gathering, background, context study, analyses of data collected from the website and website study (Allen et al, 2006). The academic use of the Internet contributes to scholarly activities through diverse mechanisms such as participation in electronic discussion, access to online databases, libraries, electronic journals and newsletters (Organ and McGurk, 1996).…”

Section: An Overviewmentioning

confidence: 99%

Modelling a Causal Relationship between the Internet and Academic Research Performance in an Australian University: A Case Study

Mamun

Rahman

2016

Margin: The Journal of Applied Economic Research

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This study examines the relationship between academics' use of the Internet for academic purposes and their research performance using cross-sectional data collected from academics of the University of Southern Queensland (USQ), Australia, during the period February-March 2014. In this study, a system of simultaneous equation models is used to control the potential bias associated with simultaneity between the use of the Internet and academics' research performances. The simultaneity, a potential econometric problem, was overlooked in past studies. A finding of this study is that academics' use of the Internet is a statistically significant contributor to research output in an Australian university. The estimated elasticity of research output is 0.16 with respect to changes in Internet use.

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Academic Data Collection in Electronic Environments: Defining Acceptable Use of Internet Resources

Cited by 45 publications

References 23 publications

How can virtual communities create value for business?

How can virtual communities create value for business?

Noise or Quality? Cross-Nested Hierarchical Effects of Culture on Online Ratings

Modelling a Causal Relationship between the Internet and Academic Research Performance in an Australian University: A Case Study

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