This study aims to evaluate the crowdfunding alternatives regarding new service development process pathways of clean energy investment projects.In this framework,a new model has been generated by considering the cons...This study aims to evaluate the crowdfunding alternatives regarding new service development process pathways of clean energy investment projects.In this framework,a new model has been generated by considering the consensus-based group decisionmaking with incomplete preferences,Pythagorean fuzzy decision-making trial and evaluation laboratory(DEMATEL)and technique for order preference by similarity to ideal solution(TOPSIS).Moreover,a comparative evaluation has been performed with Vise Kriterijumska Optimizacija I.Kompromisno Resenje methodology and sensitivity analysis has been made by considering 4 different cases.The main contribution is to identify appropriate crowdfunding-based funding alternatives for the improvement of the clean energy investments with a novel MCDM model.By considering the iteration technique and consensus-based analysis,the missing parts in the evaluations can be completed and opposite opinion problems can be reduced.Furthermore,with the help of hybrid MCDM model by combining DEMATEL and TOPSIS,more objective results can be reached.It is concluded that the analysis results are coherent and reliable.The findings indicate that the full launch is the most significant criterion for equity and debt-based crowdfunding alternatives.On the other side,the analysis has the highest weight for reward and donation-based alternatives whereas design is the most essential item regarding the royalty-based alternative.Additionally,it is also defined that equity-based crowdfunding alternative is the most significant for the service development process of clean energy investment projects.In this way,it will be possible to provide a continuous resource for clean energy investment projects.On the other hand,by providing financing with equity,there will be no fixed financing cost for clean energy investors.If these investors make a profit,they distribute dividends with the decision of their authorized bodies.展开更多
Background:Prosocial crowdfunding helps the underprivileged obtain non-profitseeking loans from multitudinous lenders.Some platforms introduce teamcompetition to motivate member participation and may thus induce team ...Background:Prosocial crowdfunding helps the underprivileged obtain non-profitseeking loans from multitudinous lenders.Some platforms introduce teamcompetition to motivate member participation and may thus induce team rivalry.Methods:We investigate how team rivalry affects lending decisions using data fromKiva.org.We argue that a rivalry relationship may engage teams to compete directlyagainst rivals by lending to the same project or prevent them from doing sobecause they intend not to cooperate.Result:We find that a team is less likely to lend to a project that has receivedfunding from its rival team,suggesting that rival teams tend to avoid cooperation.Conclusions:We discuss the implications of our findings for crowdfundingand competition-based motivation mechanisms in general.展开更多
基金This work is supported by the project of Sichuan county economic development research center of Sichuan provincial key research base of social sciences,"research on the coordination mechanism of county economic,ecological and social coupling development of giant panda national park"(xy2020034)the social science special research project of Sichuan agricultural university"research on innovation of modern urban agricultural development mode"(035/03571600).
文摘This study aims to evaluate the crowdfunding alternatives regarding new service development process pathways of clean energy investment projects.In this framework,a new model has been generated by considering the consensus-based group decisionmaking with incomplete preferences,Pythagorean fuzzy decision-making trial and evaluation laboratory(DEMATEL)and technique for order preference by similarity to ideal solution(TOPSIS).Moreover,a comparative evaluation has been performed with Vise Kriterijumska Optimizacija I.Kompromisno Resenje methodology and sensitivity analysis has been made by considering 4 different cases.The main contribution is to identify appropriate crowdfunding-based funding alternatives for the improvement of the clean energy investments with a novel MCDM model.By considering the iteration technique and consensus-based analysis,the missing parts in the evaluations can be completed and opposite opinion problems can be reduced.Furthermore,with the help of hybrid MCDM model by combining DEMATEL and TOPSIS,more objective results can be reached.It is concluded that the analysis results are coherent and reliable.The findings indicate that the full launch is the most significant criterion for equity and debt-based crowdfunding alternatives.On the other side,the analysis has the highest weight for reward and donation-based alternatives whereas design is the most essential item regarding the royalty-based alternative.Additionally,it is also defined that equity-based crowdfunding alternative is the most significant for the service development process of clean energy investment projects.In this way,it will be possible to provide a continuous resource for clean energy investment projects.On the other hand,by providing financing with equity,there will be no fixed financing cost for clean energy investors.If these investors make a profit,they distribute dividends with the decision of their authorized bodies.
基金the startup fund from City University of Hong Kong.
文摘Background:Prosocial crowdfunding helps the underprivileged obtain non-profitseeking loans from multitudinous lenders.Some platforms introduce teamcompetition to motivate member participation and may thus induce team rivalry.Methods:We investigate how team rivalry affects lending decisions using data fromKiva.org.We argue that a rivalry relationship may engage teams to compete directlyagainst rivals by lending to the same project or prevent them from doing sobecause they intend not to cooperate.Result:We find that a team is less likely to lend to a project that has receivedfunding from its rival team,suggesting that rival teams tend to avoid cooperation.Conclusions:We discuss the implications of our findings for crowdfundingand competition-based motivation mechanisms in general.
