This exploratory study examines the phenomenon of consequence cause matching,which is based on the representativeness heuristic,from cognitive psychology,upon crisis management and public relations.A 2(Large Scale Cri...This exploratory study examines the phenomenon of consequence cause matching,which is based on the representativeness heuristic,from cognitive psychology,upon crisis management and public relations.A 2(Large Scale Crisis vs.Small Scale Crisis)×2(Large Scale Cause vs.Small Scale Cause)mixed factorial design experiment was conducted based upon a hypothetical crisis scenario.This study found initial evidence that consequence cause matching is a phenomenon that can impact the process of attribution for a crisis.It highlights a potential new area of theoretical growth for the situational crisis communication theory.展开更多
Scheduling problem is a well-known combinatorial optimization problem.An effective improved estimation of distribution algorithm(IEDA) was proposed for minimizing the makespan of the unrelated parallel machine schedul...Scheduling problem is a well-known combinatorial optimization problem.An effective improved estimation of distribution algorithm(IEDA) was proposed for minimizing the makespan of the unrelated parallel machine scheduling problem(UPMSP).Mathematical description was given for the UPMSP.The IEDA which was combined with variable neighborhood search(IEDA_VNS) was proposed to solve the UPMSP in order to improve local search ability.A new encoding method was designed for representing the feasible solutions of the UPMSP.More knowledge of the UPMSP were taken consideration in IEDA_ VNS for probability matrix which was based the processing time matrix.The simulation results show that the proposed IEDA_VNS can solve the problem effectively.展开更多
We examine whether management earnings forecasts(MEFs)help reduce the stock return seasonality associated with earnings seasonality around earnings announcements(EAs)in Chinese A-share markets.We find that firms in hi...We examine whether management earnings forecasts(MEFs)help reduce the stock return seasonality associated with earnings seasonality around earnings announcements(EAs)in Chinese A-share markets.We find that firms in historically low earnings seasons outperform firms in high earnings seasons by 2.1%around MEFs.Firms in low earnings seasons also have higher trading volume and return volatility than their counterparts around EAs and MEFs.MEFs significantly reduce the ability of historical seasonal earnings rankings to negatively predict announcement returns,volume and volatility around EAs.The reduction effects are stronger when MEFs are voluntary or made closer to EAs.The evidence suggests that MEFs facilitate the correction of investors’tendency to extrapolate earnings seasonality and its resulted stock mispricing.展开更多
文摘This exploratory study examines the phenomenon of consequence cause matching,which is based on the representativeness heuristic,from cognitive psychology,upon crisis management and public relations.A 2(Large Scale Crisis vs.Small Scale Crisis)×2(Large Scale Cause vs.Small Scale Cause)mixed factorial design experiment was conducted based upon a hypothetical crisis scenario.This study found initial evidence that consequence cause matching is a phenomenon that can impact the process of attribution for a crisis.It highlights a potential new area of theoretical growth for the situational crisis communication theory.
基金National Natural Science Foundations of China(Nos.61573144,61174040)
文摘Scheduling problem is a well-known combinatorial optimization problem.An effective improved estimation of distribution algorithm(IEDA) was proposed for minimizing the makespan of the unrelated parallel machine scheduling problem(UPMSP).Mathematical description was given for the UPMSP.The IEDA which was combined with variable neighborhood search(IEDA_VNS) was proposed to solve the UPMSP in order to improve local search ability.A new encoding method was designed for representing the feasible solutions of the UPMSP.More knowledge of the UPMSP were taken consideration in IEDA_ VNS for probability matrix which was based the processing time matrix.The simulation results show that the proposed IEDA_VNS can solve the problem effectively.
基金the financial support of the National Natural Science Foundation of China(NSFC)(Grant#91746109,#71773100 and#72073109)
文摘We examine whether management earnings forecasts(MEFs)help reduce the stock return seasonality associated with earnings seasonality around earnings announcements(EAs)in Chinese A-share markets.We find that firms in historically low earnings seasons outperform firms in high earnings seasons by 2.1%around MEFs.Firms in low earnings seasons also have higher trading volume and return volatility than their counterparts around EAs and MEFs.MEFs significantly reduce the ability of historical seasonal earnings rankings to negatively predict announcement returns,volume and volatility around EAs.The reduction effects are stronger when MEFs are voluntary or made closer to EAs.The evidence suggests that MEFs facilitate the correction of investors’tendency to extrapolate earnings seasonality and its resulted stock mispricing.
