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Recent Journal Publications by COB Faculty

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Academic Journal
Marketing

“Leveraging stakeholder networks with outside-in marketing”

The theory of Outside-in marketing (OIM) emphasizes the importance of internal and external partners of a firm to drive strategies for value creation. OIM is based on four key tenets: market sensing and responses, segmentation and targeting, innovation, and employee's learning effort. With this commentary, we apply the theory of OIM to network analysis. By doing so, we identify key stakeholder networks as part of a firm's business ecosystem and discuss the value that can be extracted from different stakeholder networks. Most prior network research in marketing has mainly used customer or employee network data while neglecting other important stakeholder groups. We provide information about how network analysis of stakeholder data can fill gaps in the marketing literature and provide firms with essential knowledge, economic value, and influence over external partners, and improve the value generation process. We first describe each tenet and give examples of stakeholder networks that can be investigated within the realm of the tenet definitions. We then discuss different challenges that social network research can pose, and end with future research questions that can be explored for empirical research studies.
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Conference
BIS

“Linking Ontological Resources Using Aggregatable Substance Identifiers to Organize Extracted Relations”

Systems that extract biological regulatory pathway relations from free-text sources are
intended to help researchers leverage vast and growing collections of research literature.
Several systems to extract such relations have been developed but little work has focused on
how those relations can be usefully organized (aggregated) to support visualization systems or
analysis algorithms. Ontological resources that enumerate name strings for different types of
biomedical objects should play a key role in the organization process. In this paper we
delineate five potentially useful levels of relational granularity and propose the use of
aggregatable substance identifiers to help reduce lexical ambiguity. An aggregatable
substance identifier applies to a gene and its products. We merged 4 extensive lexicons and
compared the extracted strings to the text of five million MEDLINE abstracts. We report on
the ambiguity within and between name strings and common English words. Our results show
an 89% reduction in ambiguity for the extracted human substance name strings when using an
aggregatable substance approach.
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Academic Journal
Finance

“Long-Horizon Seasoned Equity Performance in the Pacific Rim Financial Markets”

Previous studies of firms that issue seasoned equity in the US and Japan have found that these firms significantly underperform over the long-run subsequent to the issue. I offer further evidence of this by examining Japanese seasoned offerings (SEOs) from 1975 to 1992. I find similar results for firms issuing seasoned equity in Hong Kong. However, I also find that Korean SEOs generate insignificant abnormal returns over a 36-month period following the issue. These results suggest that the asymmetric information argument offered for the US and Japanese markets do not always hold, especially in markets where the regulatory and market structures vary greatly. Cross-sectional results suggest that younger firms tend to perform worse than older firms.
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