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Thesis (M.A.)--George Mason University, 2008. / Vita: p. 59. Thesis director: Susan Lawrence. Submitted in partial fulfillment of the requirements for the degree of Master of Arts in English. Title from PDF t.p. (viewed July 8, 2008). Includes bibliographical references (p. 57-58). Also issued in print.

Thesis (Ph.D.)--Drexel University, 2007. / Adviser: Susan Wiedenbeck. Includes bibliographical references.

Thesis (Ph. D.)--University of Texas at Austin, 2008. / Vita. Includes bibliographical references.

Thesis (Ph.D.)--Michigan State University, 2007. / Adviser: Lucinda Davenport. Includes bibliographical references.

Thesis (M.A.)--Oregon State University, 2008. / Printout. Includes bibliographical references (leaves 176-190). Also available on the World Wide Web.

Thesis (M.A.)--University of Missouri-Columbia, 2003. / Typescript. Includes bibliographical references (leaves 392-400). Also available on the Internet.

Thesis (M.A.)--University of Missouri-Columbia, 2003. / Typescript. Includes bibliographical references (leaves 392-400). Also available on the Internet.

The online news industry faces a challenge: Whether online news media can produce enough quality content that generates revenue and profit at a level comparable to traditional media. To meet the challenge, this dissertation applied two economic models, the industrial organization (IO) and the resource-based view of the firm (RBV), to locate the determinants of market performance for the online news industry. Together, the determinants derived from both models explained 19 to 35 percent of variance in market performance among the 208 news sites in the study. Separately, IO's industry variables were twice as powerful as RBV's firm variables in explaining news sites' revenue growth, profitability, and relative performance. A post hoc analysis using a news site's traffic as another dependent variable showed that the importance of the industry and firm effects differs substantially across market performance and traffic. A detailed examination suggested that industry effects were powerful in explaining the extent of news sites' market performance, whereas firm effects were influential in explaining news sites' traffic. However, the study argued that generating traffic should not be news sites' ultimate goal but their relay station; otherwise the solvency challenge remains.

Thesis (Ph. D.)--University of Texas at Austin, 2007. / Vita. Includes bibliographical references.