The impact of private information leakage on innovative product introduction

2010 ◽  
Author(s):  
Guojun Ji ◽  
Guangyong Yang
Keyword(s):  
Private Information ◽  
Information Leakage ◽  
Innovative Product ◽  
Product Introduction ◽  
The Impact

scholarly journals Intelligent Prediction of Private Information Diffusion in Social Networks

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 719 ◽  
Author(s):  
Yangyang Li ◽  
Hao Jin ◽  
Xiangyi Yu ◽  
Haiyong Xie ◽  
Yabin Xu ◽  
...  
Keyword(s):  
Social Networks ◽  
Private Information ◽  
Information Diffusion ◽  
Social Impact ◽  
Information Leakage ◽  
Prediction Method ◽  
Data Set ◽  
Sina Weibo ◽  
Critical Paths ◽  
The Impact

In the information age, leaked private information may cause significant physical and mental harm to the relevant parties, leading to a negative social impact. In order to effectively evaluate the impact of such information leakage in today’s social networks, it is necessary to accurately predict the scope and depth of private information diffusion. By doing so, it would be feasible to prevent and control the improper spread and diffusion of private information. In this paper, we propose an intelligent prediction method for private information diffusion in social networks based on comprehensive data analysis. We choose Sina Weibo, one of the most prominent social networks in China, to study. Firstly, a prediction model of message forwarding behavior is established by analyzing the characteristic factors that influence the forwarding behavior of the micro-blog users. Then the influence of users is calculated based on the interaction time and topological structure of users relationship, and the diffusion critical paths are identified. Finally, through the user forwarding probability transmission, we determine the micro-blog diffusion cut-off conditions. The simulation results on Sina Weibo data set show that the prediction accuracy is 86.9%, which indicates that our method is efficient to predict the message diffusion in real-world social networks.

Changes in information environment and merger announcements

2016 ◽  
Vol 31 (3) ◽  
pp. 123-145
Author(s):  
Bhanu Balasubramnian ◽  
Kathleen Fuller ◽  
Tanja Steigner
Keyword(s):  
Insider Trading ◽  
Private Information ◽  
Information Leakage ◽  
Information Environment ◽  
High Tech ◽  
Content Type ◽  
Regulatory Changes ◽  
Announcement Returns ◽  
The Impact ◽  
Merger Announcements

Purpose The purpose of this paper is to examine the impact of regulatory changes by the US Securities and Exchange Commission in 2000 on private information leakage prior to merger announcements. Design/methodology/approach Using a sample of 5,045 merger announcements between 1990 and 2008, the authors examine differences in information leakage between the pre- and post-regulation period merger announcements for acquirers using regression analysis. Findings The results suggest that regulatory changes have been effective in preventing private information leakage in merger announcements for large- and medium-sized firms, for high-tech firms, and for stock deals. The authors find that abnormal trading volume due to differences in information quality is reduced post-regulation for stock deals, high-tech firms, large- and medium-sized bidders, indicating less leakage of information after the new regulations. The authors find higher announcement returns post-regulation for the entire sample and for all subsamples except stock deals, small firms, and public targets. Higher announcement returns indicate that merger announcements are a greater surprise to the market due to a reduction in leaked private information after the regulatory changes. Practical implications The results have implications on future rule changes, on refinements of insider trading rules, regulation fair disclosure, and regulation M-A. The authors leave for future research why certain types of firms or deals are not impacted by regulatory changes. Originality/value Examine the effect of changes in information environment on merger announcements for acquirers because the impact likely has greater significance on acquirers than that on targets. Past studies have examined only targets.

scholarly journals Overconfidence and Timing of Entry

Games ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 44
Author(s):  
Luis Santos-Pinto ◽  
Tiago Pires
Keyword(s):  
Private Information ◽  
Welfare Effect ◽  
The Other ◽  
Ex Ante ◽  
Rational Player ◽  
Timing Of Entry ◽  
Game Players ◽  
The Impact ◽  
Stackelberg Leader

We analyze the impact of overconfidence on the timing of entry in markets, profits, and welfare using an extension of the quantity commitment game. Players have private information about costs, one player is overconfident, and the other one rational. We find that for slight levels of overconfidence and intermediate cost asymmetries, there is a unique cost-dependent equilibrium where the overconfident player has a higher ex-ante probability of being the Stackelberg leader. Overconfidence lowers the profit of the rational player but can increase that of the overconfident player. Consumer rents increase with overconfidence while producer rents decrease which leads to an ambiguous welfare effect.

scholarly journals Relationship lending and the use of trade credit: the role of relational capital and private information

2021 ◽  
Author(s):  
Pierluigi Murro ◽  
Valentina Peruzzi
Keyword(s):  
Private Information ◽  
Business Models ◽  
Trade Credit ◽  
Banking Regulation ◽  
Manufacturing Firms ◽  
Soft Information ◽  
Relational Capital ◽  
Relationship Lending ◽  
The Impact ◽  
Italian Manufacturing Firms

AbstractUsing a unique sample of Italian manufacturing firms, we investigate the impact of relationship lending on firms’ use of trade credit. We find that firms maintaining close and long-lasting relationships with their main banks are associated with higher amounts of trade credit extended by suppliers. This result is robust to alternative measures of trade credit and relationship lending, and to different estimation techniques. We also analyze the mechanisms driving the association between relationship lending and the use of trade credit. Regression results suggest that the positive link between accounts payable and relationship lending is especially significant for firms that use to provide soft information to their lenders and for companies with greater relational abilities.Plain English Summary The existence of close and long lasting lending relationships positively affects the amount of trade credit manufacturing firms receive from their suppliers. By relying on the Survey on Italian Manufacturing Firms, we show that the positive link between relationship lending and the use of trade credit is driven by two channels: private information and relational capital. In a policy perspective, our findings reveal a need for banking regulation and supervision to encompass banking business models in evaluating banks. The current approach might not be suitable for local banks investing in soft information acquisition and could weaken SMEs’ chances to receive both bank financing and trade credit from suppliers. Moreover, from a managerial point of view, our results uncover the relevance of firms’ ability to create strong relationships with banks, suppliers, and other companies that may help alleviating financial constraints.

scholarly journals Blurred reputations: Managing professional and private information online

2018 ◽  
Vol 52 (1) ◽  
pp. 16-26 ◽  
Author(s):  
Frances V.C. Ryan ◽  
Peter Cruickshank ◽  
Hazel Hall ◽  
Alistair Lawson
Keyword(s):  
Social Media ◽  
Private Information ◽  
Information Seeking ◽  
Information Science ◽  
Private Lives ◽  
Professional Reputation ◽  
Media Platform ◽  
Everyday Life Information Seeking ◽  
The Impact ◽  
Reputation Building

Results are reported from a study that investigated patterns of information behaviour and use as related to personal reputation building and management in online environments. An everyday life information seeking (ELIS) perspective was adopted. Data were collected by diary and interview from 45 social media users who hold professional and managerial work roles, and who are users of Twitter, Facebook and/or LinkedIn. These data were first transcribed, then coded with NVivo10 according to themes identified from a preliminary literature review, with further codes added as they emerged from the content of the participant diaries and interviews. The main findings reveal that the portrayal of different personas online contributes to the presentation (but not the creation) of identity, that information-sharing practices for reputation building and management vary according to social media platform, and that the management of online connections and censorship are important to the protection of reputation. The maintenance of professional reputation is more important than private reputation to these users. They are aware of the ‘blur’ between professional and private lives in online contexts, and the influence that it bears on efforts to manage an environment where LinkedIn is most the useful of the three sites considered, and Facebook the most risky. With its novel focus on the ‘whole self’, this work extends understandings of the impact of information on the building and management of reputation from an information science perspective.

Nonrevealing Equilibria and Consumption-Based Asset Pricing Models

2006 ◽  
Vol 6 (1) ◽  
Author(s):  
James E Gunderson
Keyword(s):  
Asset Pricing ◽  
Private Information ◽  
Rational Expectations ◽  
Investment Risk ◽  
Conditional Distributions ◽  
Pricing Models ◽  
Asset Pricing Models ◽  
Empirical Tests ◽  
The Impact ◽  
Investment Choices

In the rational expectations equilibrium of this paper, agents have private information and differing information partitions and therefore assign differing conditional distributions to asset payoffs and other economic variables relevant to their investment choices. Standard asset pricing models typically do not recognize the impact of these differing information partitions, and empirical tests based on these models thus measure asset riskiness in a way that may not be relevant to any of the agents' decisions. I show how this can lead to distorted estimates of investment risk and how it can make the equity premium appear difficult to explain.

scholarly journals Best Paper Selection

2017 ◽  
Vol 26 (01) ◽  
pp. 212-213
Keyword(s):  
Logistic Regression ◽  
Private Information ◽  
Statistical Models ◽  
Heart Sound ◽  
Information Leakage ◽  
Scientific Data ◽  
Training Data ◽  
Genotype Data ◽  
Scientific Data Management ◽  
Heart Sound Segmentation

Agarwal V, Podchiyska T, Banda JM, Goel V, Leung TI, Minty EP, Sweeney TE, Gyang E, Shah NH. Learning statistical models of phenotypes using noisy labeled training data. J Am Med Inform Assoc 2016;23(6):1166-73 https://academic.oup.com/jamia/article-lookup/doi/10.1093/jamia/ocw028 Harmanci A, Gerstein M. Quantification of private information leakage from phenotype-genotype data: linking attacks. Nat Methods 2016;13(3):251-6 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4834871/ Pfiffner PB, Pinyol I, Natter MD, Mandl KD. C3-PRO: Connecting ResearchKit to the Health System Using i2b2 and FHIR. PloS One 2016;11(3):e0152722 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816293/ Wilkinson MD, Dumontier M, Aalbersberg IJJ, Appleton G, Axton M, Baak A, Blomberg N, Boiten JW, da Silva Santos LB, Bourne PE, Bouwman J, Brookes AJ, Clark T, Crosas M, Dillo I, Dumon O, Edmunds S, Evelo CT, Finkers R, Gonzalez-Beltran A, Gray AJ, Groth P, Goble C, Grethe JS, Heringa J, ‘t Hoen PA, Hooft R, Kuhn T, Kok R, Kok J, Lusher SJ, Martone ME, Mons A, Packer AL, Persson B, Rocca-Serra P, Roos M, van Schaik R, Sansone SA, Schultes E, Sengstag T, Slater T, Strawn G, Swertz MA, Thompson M, van der Lei J, van Mulligen E, Velterop J, Waagmeester A, Wittenburg P, Wolstencroft K, Zhao J, Mons B. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 2016;3:160018 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4792175/ Springer DB, Tarassenko L, Clifford GD. Logistic regression-HSMM-based heart sound segmentation. IEEE Trans Biomed Eng 2016 Apr;63(4):822-32

scholarly journals To Trust Or Not To Trust: The Impact Of WebTrust On The Perceived Trustworthiness Of A Web Site

2001 ◽  
Vol 5 (3) ◽  
pp. 35-50 ◽  
Author(s):  
Kris Portz ◽  
Joel M. Strong ◽  
Larry Sundby
Keyword(s):  
Electronic Commerce ◽  
Web Sites ◽  
Private Information ◽  
Web Site ◽  
Positive Impact ◽  
Computer Experiment ◽  
The Internet ◽  
Certified Public Accountants ◽  
Assurance Services ◽  
The Impact

Despite the explosive growth of electronic commerce, many individuals are still reluc-tant to conduct business transactions on the Internet. Individuals may mistrust sending private information over the Internet or they may have concerns about the existence, performance, standing, and integrity of online businesses. In direct response to these concerns, the American Institute of Certified Public Accountants (AICPA) has developed an electronic commerce assurance service called WebTrust which is intended to improve the consumer's confidence in the process and the quality of information disclosed on vendor web sites. The purpose of this study is to shed light on the effectiveness of WebTrust by examining the influence of WebTrust on consumers' perceptions of a web site's trustworthiness. The question is investigated through a computer experiment. The results of this study are very encouraging for electronic commerce assurance services in general, and the WebTrust service in particular. Evidence is found that the presence of WebTrust on a web site has a positive impact on the perceived trustworthiness of the website. The results also show that knowledge of WebTrust plays a significant moderating role in the relationship between perceived trustworthiness and the presence of WebTrust. When subjects have prior knowledge of WebTrust they perceive a web site with WebTrust to be more trustworthy than a web site without whereas, the presence of WebTrust has no impact when subjects are uneducated about the WebTrust assurances. Also, when WebTrust is present, subjects with knowledge of WebTrust are more confident in the web site than those without knowledge of WebTrust. When WebTrust is not present, knowledge subjects are more unsure of a web site without WebTrust than those without knowledge.

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