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2008

RESELLER ADOPTION OF MANUFACTURERS’ E-BUSINESS TOOLS:
THE IMPACT OF SOCIAL ENFORCEMENT, TECHNOLOGY-RELATIONSHIP FIT
AND THE MEDIATING ROLE OF RESELLER BENEFITS

Talai Osmonbekov
NAU-The W. A. Franke College of Business
 

Manufacturer-reseller relationships are increasingly becoming technology-infused as distribution managers are employing e-business tools to streamline existing channels. This research examines the role of social enforcement, relationship-technology fit and the perceived reseller benefits in reseller adoption of manufacturers’ e-business tools. The results of the empirical test involving a sample of 224 resellers suggest that social enforcement and technology-relationship factors impact reseller e-business adoption, while reseller benefits play a mediating role. Implications of these findings for researchers and managers are discussed.

Keywords: e-business tools, adoption, reseller benefits, social enforcement, relationship-technology fit, mediation, manufacturer-reseller relationships

08-16 October 2008

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A SPATIAL-TEMPORAL OPTIMIZATION APPROACH TO WATERSHED MANAGEMENT:
AMD TREATMENT IN THE CHEAT RIVER WATERSHED, WV

Xiaobing Zhao
NAU-The W. A. Franke College of Business
Jerald J. Fletcher
Natural Resource Analysis Center and
U.S.-China Energy Center
West Virginia University
 

Most water management studies concentrate on the inter-temporal allocation problem or, more recently, spatial dynamics – but not both. While early spatial-temporal studies focused on the allocation of water quantity, this paper presents an approach to water quality analysis that incorporates both spatial and temporal dynamics in a watershed framework. The acid mine drainage (AMD) problem in the Cheat River watershed of West Virginia serves as a case study and provides an opportunity to test the modeling approach developed. The empirical models are written in General Algebraic Modeling System (GAMS) and solved using the CPLEX mixed integer programming package. The results suggest that available investments should be concentrated in heavily impaired stream segments. The model can be used to assess the economic implications of alternative watershed TMDL implementation or other management strategies.

Keywords: Spatial-temporal optimization; Water quality; Watershed management; Acid mine drainage

08-15 October 2008

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STOCK REACTION TO MARKET-WIDE INFORMATION

Ding Du*
NAU-The W. A. Franke College of Business
Karen Denning**
Fairleigh Dickinson University

Xiaobing Zhao
***
NAU-The W. A. Franke College of Business
 

An anomaly within the behavioral literature is that as yet there is no evidence suggesting that stocks mis-react to common information as they do to firm-specific information. We demonstrate the limitations of the previous research and revisit the issue of stock reaction to common information in this manuscript. We find a statistically and economically significant reaction pattern to common information as the behavioral models suggest we should. This finding thus complements the findings of stock mis-reaction to firm-specific information, and should benefit researchers attempting to understand investor behavior. Furthermore, we find that the size factor may not only proxy future economic growth as suggested by Vassalou (2003), but also the delayed reaction to the news related to future economic growth.

JEL Classification: G12; G14; G15.


* The W. A. Franke College of Business, Northern Arizona University, Flagstaff, AZ 8601, ding.du@nau.edu, Phone: (928) 523-7274, Fax: (928) 5237331.

**Department of Economics and Finance, Fairleigh Dickinson University, Teaneck, New Jersey, 07666, denning@fdu.edu, Phone: (201) 692-7294, Fax: (201) 692-7219.

*** The W. A. Franke College of Business, Northern Arizona University, Flagstaff, AZ 86011, xiaobing.zhao@nau.edu, Phone: (928) 523-7279, Fax: (928) 5237331.

08-14 September 2008

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MOMENTUM IN WEEKLY INDUSTRY PORTFOLIO RETURNS

Ding Du
NAU-The W. A. Franke College of Business
 

Contrary to Lehmann (1990) and Jegadeesh (1990), Gutierrez and Kelley (2008) recently find a long-lasting momentum in weekly individual stock returns. We extend Gutierrez and Kelley (2008) and examine momentum in weekly industry portfolio returns. We find that where momentum in six-month returns is mainly explained by cross-serial correlations as in Lewellen (2002), momentum in weekly returns is largely due to serial correlations, and that momentum does not always exhibit reversals in the long run. Our findings present a challenge to the popular behavioral models.

Journal of Economic Literature Classification Number: G12

Keyword: Weekly Momentum; Industry Portfolio Returns; Reversals

08-13 September 2008

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