The Experts below are selected from a list of 132 Experts worldwide ranked by ideXlab platform
Collins G. Ntim - One of the best experts on this subject based on the ideXlab platform.
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Individual’s financial investment decision-making in reward-based crowdfunding: evidence from China
Applied Economics Letters, 2018Co-Authors: Yasir Shahab, Yasir Riaz, Collins G. NtimAbstract:ABSTRACTThis article extends the work of Cecere et al. (Appl. Econ., 49(57): 5802–5813, 2017) and explores the antecedents of backers’ decision to invest in projects from eight categories on a reward-based crowdfunding platform in China. We extract data from 2011 to 2016 from the pioneer Chinese reward-based crowdfunding site ‘Demohour’. Our empirical investigation using OLS reveals that Feedback Score, social capital (followers on Weibo, project sharing on social media) and project quality (number of updates) are key motivating factors in investment decision and subsequently, project success or failure. Robustness tests also confirm the findings.
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Individual's Financial Investment Decision-Making in Reward-Based Crowdfunding: Evidence from China
Social Science Research Network, 2018Co-Authors: Yasir Shahab, Yasir Riaz, Collins G. NtimAbstract:ABSTRACTThis article extends the work of Cecere et al. (Appl. Econ., 49(57): 5802–5813, 2017) and explores the antecedents of backers’ decision to invest in projects from eight categories on a reward-based crowdfunding platform in China. We extract data from 2011 to 2016 from the pioneer Chinese reward-based crowdfunding site ‘Demohour’. Our empirical investigation using OLS reveals that Feedback Score, social capital (followers on Weibo, project sharing on social media) and project quality (number of updates) are key motivating factors in investment decision and subsequently, project success or failure. Robustness tests also confirm the findings.
Yasir Shahab - One of the best experts on this subject based on the ideXlab platform.
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Individual’s financial investment decision-making in reward-based crowdfunding: evidence from China
Applied Economics Letters, 2018Co-Authors: Yasir Shahab, Yasir Riaz, Collins G. NtimAbstract:ABSTRACTThis article extends the work of Cecere et al. (Appl. Econ., 49(57): 5802–5813, 2017) and explores the antecedents of backers’ decision to invest in projects from eight categories on a reward-based crowdfunding platform in China. We extract data from 2011 to 2016 from the pioneer Chinese reward-based crowdfunding site ‘Demohour’. Our empirical investigation using OLS reveals that Feedback Score, social capital (followers on Weibo, project sharing on social media) and project quality (number of updates) are key motivating factors in investment decision and subsequently, project success or failure. Robustness tests also confirm the findings.
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Individual's Financial Investment Decision-Making in Reward-Based Crowdfunding: Evidence from China
Social Science Research Network, 2018Co-Authors: Yasir Shahab, Yasir Riaz, Collins G. NtimAbstract:ABSTRACTThis article extends the work of Cecere et al. (Appl. Econ., 49(57): 5802–5813, 2017) and explores the antecedents of backers’ decision to invest in projects from eight categories on a reward-based crowdfunding platform in China. We extract data from 2011 to 2016 from the pioneer Chinese reward-based crowdfunding site ‘Demohour’. Our empirical investigation using OLS reveals that Feedback Score, social capital (followers on Weibo, project sharing on social media) and project quality (number of updates) are key motivating factors in investment decision and subsequently, project success or failure. Robustness tests also confirm the findings.
Yasir Riaz - One of the best experts on this subject based on the ideXlab platform.
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Individual’s financial investment decision-making in reward-based crowdfunding: evidence from China
Applied Economics Letters, 2018Co-Authors: Yasir Shahab, Yasir Riaz, Collins G. NtimAbstract:ABSTRACTThis article extends the work of Cecere et al. (Appl. Econ., 49(57): 5802–5813, 2017) and explores the antecedents of backers’ decision to invest in projects from eight categories on a reward-based crowdfunding platform in China. We extract data from 2011 to 2016 from the pioneer Chinese reward-based crowdfunding site ‘Demohour’. Our empirical investigation using OLS reveals that Feedback Score, social capital (followers on Weibo, project sharing on social media) and project quality (number of updates) are key motivating factors in investment decision and subsequently, project success or failure. Robustness tests also confirm the findings.
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Individual's Financial Investment Decision-Making in Reward-Based Crowdfunding: Evidence from China
Social Science Research Network, 2018Co-Authors: Yasir Shahab, Yasir Riaz, Collins G. NtimAbstract:ABSTRACTThis article extends the work of Cecere et al. (Appl. Econ., 49(57): 5802–5813, 2017) and explores the antecedents of backers’ decision to invest in projects from eight categories on a reward-based crowdfunding platform in China. We extract data from 2011 to 2016 from the pioneer Chinese reward-based crowdfunding site ‘Demohour’. Our empirical investigation using OLS reveals that Feedback Score, social capital (followers on Weibo, project sharing on social media) and project quality (number of updates) are key motivating factors in investment decision and subsequently, project success or failure. Robustness tests also confirm the findings.
Giuseppe Turchetti - One of the best experts on this subject based on the ideXlab platform.
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dd 024 development of an objective Feedback Score for the evaluation of drug and medical device manufacturers distributors as an additional parameter to be considered in public procurement
European Journal of Hospital Pharmacy, 2016Co-Authors: Isotta Triulzi, Leopoldo Trieste, C Belli, M Pani, Giuseppe TurchettiAbstract:Background Drugs and medical devices are part of the link between patients and health services. Thus drugs need to be managed properly and should be available and accessible at all times. Indeed, poor management of health resources can contribute, firstly, to a negative impact on health, and secondly, could reduce access and waste money. The current system of public procurement (tendering) does not consider the experiences of public institutions in terms of quality and adherence of manufacturers/distributors in delivering their products according to the undersigned contracts. Penalties paid by manufacturers/distributors for delay and other problems related to the order are not a sufficient stimulus for improving performance. Purpose The aim was to develop an objective Feedback Score based on quantitative and qualitative differences between contracts and the characteristics of the delivered orders to evaluate the reputation of the manufacturers/distributors. Material and methods Based on 14 462 orders of drugs and 19 421 medical devices registered by the drug regional public authority (with a centralised drug and medical device warehouse that supports 18 hospitals and 6 local health units), all of the existing distributors were analysed and a Feedback Score assigned to them. Results With a focus on 2014, restricting performance to delivery time (from order to delivery) only, and comparing medians, preliminary results showed that (1) medical device delivery times were higher than those written in the contract; (2) drug suppliers were more reliable than medical device suppliers (ie, median delivery times were lower but still higher than those written in the contract). Conclusion The Score can: (a) better signal the reputation of manufacturers/distributors, giving additional information for commission in public auctions (tendering); (b) give additional information for planning a more efficient system of orders and drug storage; (c) give a simple but powerful instrument to the manufacturers to evaluate their performance, free from the risk of biases of self-evaluation. This tool could be useful in the application of the assessment criteria introduced by EU Directive 24/2014. References and/or Acknowledgements Area Logistica e Innovazione SIFO. La Farmacologistica. Corso base. Il processo della logistica farmaceutica: prospettive e sfide per il farmacista SSN. IEdizioni Il Campano. ISBN 978–8–86528–247–2. No conflict of interest.
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DD-024 Development of an objective Feedback Score for the evaluation of drug and medical device manufacturers/distributors as an additional parameter to be considered in public procurement
European Journal of Hospital Pharmacy, 2016Co-Authors: Isotta Triulzi, Leopoldo Trieste, C Belli, M Pani, Giuseppe TurchettiAbstract:Background Drugs and medical devices are part of the link between patients and health services. Thus drugs need to be managed properly and should be available and accessible at all times. Indeed, poor management of health resources can contribute, firstly, to a negative impact on health, and secondly, could reduce access and waste money. The current system of public procurement (tendering) does not consider the experiences of public institutions in terms of quality and adherence of manufacturers/distributors in delivering their products according to the undersigned contracts. Penalties paid by manufacturers/distributors for delay and other problems related to the order are not a sufficient stimulus for improving performance. Purpose The aim was to develop an objective Feedback Score based on quantitative and qualitative differences between contracts and the characteristics of the delivered orders to evaluate the reputation of the manufacturers/distributors. Material and methods Based on 14 462 orders of drugs and 19 421 medical devices registered by the drug regional public authority (with a centralised drug and medical device warehouse that supports 18 hospitals and 6 local health units), all of the existing distributors were analysed and a Feedback Score assigned to them. Results With a focus on 2014, restricting performance to delivery time (from order to delivery) only, and comparing medians, preliminary results showed that (1) medical device delivery times were higher than those written in the contract; (2) drug suppliers were more reliable than medical device suppliers (ie, median delivery times were lower but still higher than those written in the contract). Conclusion The Score can: (a) better signal the reputation of manufacturers/distributors, giving additional information for commission in public auctions (tendering); (b) give additional information for planning a more efficient system of orders and drug storage; (c) give a simple but powerful instrument to the manufacturers to evaluate their performance, free from the risk of biases of self-evaluation. This tool could be useful in the application of the assessment criteria introduced by EU Directive 24/2014. References and/or Acknowledgements Area Logistica e Innovazione SIFO. La Farmacologistica. Corso base. Il processo della logistica farmaceutica: prospettive e sfide per il farmacista SSN. IEdizioni Il Campano. ISBN 978–8–86528–247–2. No conflict of interest.
Lianmei Zhang - One of the best experts on this subject based on the ideXlab platform.
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Multi agent system-based dynamic trust calculation model and credit management mechanism of online trading
Intelligent Automation & Soft Computing, 2016Co-Authors: Wei-jin Jiang, Hong Guo, C. C. Wang, Lianmei ZhangAbstract:AbstractNow all kinds of malicious acts appear in C2C online auctions, particularly the phenomenon of trust lack and credit fraud is very outstanding. Therefore, how to build an effective trust model has become a burning problem. Based on analyzing limitations of the existing online trust transaction mechanism, and according to characteristics (such as dynamic, innominate and suppositional) of online transaction trust problem, the article proposes a dynamic trust calculation model and reputation management mechanism of online trading based on multi-Agent system. The model consists of three parts. The first part is the trust of user domain, to put importance on the influence on current trust by recent credibility status, to motivate users to adopt an agreed cooperative strategy. The second part is the weighted average of reputation Feedback Score. The weighted part mainly considers the trust from the reputation Feedback Score person (the credibility of the Feedback Score), the value of the transaction (to ...
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HCC - Multi Agent System-Based Dynamic Trust Calculation Model and Credit Management Mechanism of Online Trading
Human Centered Computing, 2015Co-Authors: Wei-jin Jiang, Hong Guo, Lianmei ZhangAbstract:At present, all kinds of malicious acts appear in C2C online auctions, particularly the phenomenon of trust lack and credit fraud is very outstanding. Therefore, how to build an effective trust model has become a burning problem. Based on analyzing limitations of the existing online trust transaction mechanism, and according to characteristics (such as dynamic, innominate and suppositional) of online transaction trust problem, the article proposes a dynamic trust calculation model and reputation management mechanism of online trading based on multi-Agent system.. The model consists of three parts. The first part is the trust of user domain, to put importance on the influence on current trust by recent credibility status, to motivate users to adopt a agreed cooperative strategy. The second part is the weighted average of reputation Feedback Score, The weighted part mainly considers the trust from the reputation Feedback Score person (the credibility of the Feedback Score), the value of the transaction (to prevent the “credit squeeze”), temporal discounted (“guard against the fluctuations of the credibility”) and other factors; the third part is to give a weighting on the community contribution, according to the action taken by a user to the other members of the community in a time domain, to increase or decrease the user’s trust to isolate the Feedback submission of the credibility and punish the fraud. The paper builds the fraud limition mechanism which combine the prevention beforehand, coordination in the event and punishement afterwards. The mechanism makes the online transaction safe. Theoretic proof and experimental verification indicate the following three problems can be solved effectively: 1) solving the problem which is difficult to prevent and is that peculative user accumulates the little trusts and squeeze on the large trading; 2) preventing members from cheating by false trading or personation; 3) reducing the arbitration workload of the online business platform.
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Dynamic trust calculation model and credit management mech-anism of online trading
SCIENTIA SINICA Informationis, 2014Co-Authors: Wei-jin Jiang, Hong Guo, Lianmei ZhangAbstract:At present, all kinds of malicious acts appear in C2C online auctions, particularly the phenomenon of trust lack and credit fraud is very outstanding. Therefore, how to build an effective trust model has become a burning problem. Based on analyzing limitations of the existing online trust transaction mechanism, and according to characteristics (such as dynamic, innominate and suppositional) of online transaction trust problem, the article proposes a dynamic trust calculation model and reputation management mechanism of online trading based on multi-Agent system. The model consists of three parts. The first part is the trust of user domain, to put importance on the influence on current trust by recent credibility status, to motivate users to adopt a agreed cooperative strategy. The second part is the weighted average of reputation Feedback Score. The weighted part mainly considers the trust from the reputation Feedback Score person (the credibility of the Feedback Score), the value of the transaction (to prevent the "credit squeeze"), temporal discounted ("guard against the fluctuations of the credibility") and other factors. The third part is to give a weighting on the community contribution, according to the action taken by a user to the other members of the community in a time domain, to increase or decrease the user's trust to isolate the Feedback submission of the credibility and punish the fraud. The paper builds the fraud limiting mechanism which combine the prevention beforehand, coordination in the event and punishment afterwards. The mechanism makes the online transaction safe. Theoretic proof and experimental verification indicate the following three problems can be solved effectively: 1) solving the problem which is difficult to prevent and is that speculative user accumulates the little trusts and squeeze on the large trading; 2) preventing members from cheating by false trading or personation; 3) reducing the arbitration workload of the online business platform.
