Impact of Average Rating on Social Media Endorsement: The Moderating Role of Rating Dispersion and Discount Threshold
In: Information Systems Research, Band 29, Heft 3, S. 739-754
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In: Information Systems Research, Band 29, Heft 3, S. 739-754
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In: Forthcoming in Information Systems Research
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In: IEEE transactions on engineering management: EM ; a publication of the IEEE Engineering Management Society, Band 64, Heft 1, S. 42-56
In: MIT Sloan Research Paper No. 4759-09
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Working paper
In: Forthcoming, Management Science. https://doi.org/10.1287/mnsc.2023.4951
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Working paper
In: forthcoming in Journal of Management Information Systems
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In: Xiang (Shawn) Wan, Anuj Kumar, Xitong Li (2023) Retargeted Versus Generic Product Recommendations: When is it Valuable to Present Retargeted Recommendations?. Information Systems Research 0(0). https://doi.org/10.1287/isre.2020.0560
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Working paper
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In: IEEE transactions on engineering management: EM ; a publication of the IEEE Engineering Management Society, Band 66, Heft 4, S. 715-729
In: HEC Paris Research Paper No. MOSI-2018-1312
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Few Internet security organizations provide comprehensive, detailed, and reliable quantitative metrics, especially in the international perspective across multiple countries, multiple years, and multiple categories. As common refrain to justify this situation, organizations ask why they should spend valuable time and resources collecting and standardizing data. This report aims to provide an encouraging answer to this question by demonstrating the value that even limited metrics can provide in a comparative perspective. We present some findings generated through the use of a research tool, the Explorations in Cyber Internet Relations (ECIR) Data Dashboard. In essence, this dashboard consists of a simple graphing and analysis tool, coupled with a database consisting of data from disparate national-level cyber data sources provided by governments, Computer Emergency Response Teams (CERTs), and international organizations. Users of the dashboard can select relevant security variables, compare various countries, and scale information as needed. In this paper, using this tool, we present an example of observations concerning the fight against cybercrime, along with several hypotheses attempting to explain the findings. We believe that these preliminary results suggest valuable ways in which such data could be used and we hope this research will help provide the incentives for organizations to increase the quality and quantity of standardized quantitative data available. ; This material is based on work supported by the U.S. Office of Naval Research, Grant No. N00014-09-1-0597. Any opinions, findings, conclusions or recommendations therein are those of the author(s) and do not necessarily reflect the views of the Office of Naval Research.
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In: Technological forecasting and social change: an international journal, Band 205, S. 123486
ISSN: 0040-1625
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In: Information Systems Research, forthcoming
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