In today’s competitive business environment,strategic performance management(SPM)is crucial for continuous growth and innovation.Therefore,it is important to realize the advantages of SPM in enterprise applications.T...In today’s competitive business environment,strategic performance management(SPM)is crucial for continuous growth and innovation.Therefore,it is important to realize the advantages of SPM in enterprise applications.This paper analyzes the theoretical basis,implementation framework,and application effects of SPM in enterprises by examining actual cases from different industries.It reveals the core elements of an effective performance management system,including clear goal setting,reasonable performance indicators,and periodic performance evaluations.Additionally,the paper examines the impact of China’s specific economic policy environment on the implementation of SPM and proposes strategies to optimize performance management practices,ultimately promoting the achievement of strategic goals.This paper provides specific and personalized practical guidance for enterprises.展开更多
This study develops a procedure to rank agencies based on their incident responses using roadway clearance times for crashes. This analysis is not intended to grade agencies but to assist in identifying agencies requi...This study develops a procedure to rank agencies based on their incident responses using roadway clearance times for crashes. This analysis is not intended to grade agencies but to assist in identifying agencies requiring more training or resources for incident management. Previous NCHRP reports discussed usage of different factors including incident severity, roadway characteristics, number of lanes involved and time of incident separately for estimating the performance. However, it does not tell us how to incorporate all the factors at the same time. Thus, this study aims to account for multiple factors to ensure fair comparisons. This study used 149,174 crashes from Iowa that occurred from 2018 to 2021. A Tobit regression model was used to find the effect of different variables on roadway clearance time. Variables that cannot be controlled directly by agencies such as crash severity, roadway type, weather conditions, lighting conditions, etc., were included in the analysis as it helps to reduce bias in the ranking procedure. Then clearance time of each crash is normalized into a base condition using the regression coefficients. The normalization makes the process more efficient as the effect of uncontrollable factors has already been mitigated. Finally, the agencies were ranked by their average normalized roadway clearance time. This ranking process allows agencies to track their performance of previous crashes, can be used in identifying low performing agencies that could use additional resources and training, and can be used to identify high performing agencies to recognize for their efforts and performance.展开更多
There are many different production situations that can be employed to meet demand. In the engineer-to- order (ETO) production situation, products are manufac- tured to meet specific customer needs by unique enginee...There are many different production situations that can be employed to meet demand. In the engineer-to- order (ETO) production situation, products are manufac- tured to meet specific customer needs by unique engineering or significant customization. In such an environment, failing to supply the required materials in the right quantities and at the right time increases the risk of breaching due date agreements and thereby losing customer satisfaction. As such, materials management is one of the most important and critical processes within production planning and control in ETO. To bring attention and improvement to this area, ETO companies may benefit from a performance measurement system (PMS) that systematically monitors how well mate- rials management is carried out. The design of a company's PMS varies with its production situation. Within the large body of literature on performance management and mea- surement, limited literature specifically addressing perfor- mance measurement in ETO has been identified. After being approached by a Norwegian ETO company requesting a PMS for materials management, the authors therefore set out to design the PMS from scratch, using literature on ETO, materials management and performance management and measurement as a starting point. The paper presents the proposed PMS. It provides a basis for further studies on the topic, and could be used by managers in ETO companies to assess and improve their materials management practice.展开更多
Performance measurement(PM)generates useful data for process control,facilitates communication between different sectors,and helps to align efforts on the most important aspects of the business.Thus,PM plays a key rol...Performance measurement(PM)generates useful data for process control,facilitates communication between different sectors,and helps to align efforts on the most important aspects of the business.Thus,PM plays a key role in the management of projects and organizations.PM is also important in the implementation of lean production principles and methods,such as reducing the share of nonvalue-adding activities,increasing process transparency,building continuous improvement into the process,and benchmarking.Moreover,the adoption of the lean production philosophy requires changes in PM.Despite its importance,limited studies have been conducted on the use of PM systems for assessing the impact of lean production programs in construction projects.In addition,studies on how lean companies(or projects)use performance measurement and to what extent the indicators adopted reflect the result of actions that have been undertaken are limited.This study proposes a set of requirements in PM systems of construction projects from the perspective of lean production and a taxonomy of performance metrics for lean production systems.Five empirical studies have been carried out on construction companies from South America involved in the implementation of lean production systems.The scope of this investigation is limited to the construction projects as production systems rather than PM at the level of construction organizations.展开更多
Performance audit has become a mainstream-trend in the development of modern government audit currently.However,the launch of performance audit in China is unbalanced,which the performance audit with Chinese character...Performance audit has become a mainstream-trend in the development of modern government audit currently.However,the launch of performance audit in China is unbalanced,which the performance audit with Chinese characteristics develops quite fast,while the full sense of performance audit develops quite slowly.Except factors such as different recognition of performance audit,the main reason of this development imbalance is that development of performance audit is limited by the current audit system.Nevertheless,it is not hard to find some positive aspects existing in the development of performance audit in China,concluding developments and changes of the environment of performance audit in China over the recent years.展开更多
Investors should always argue about management fees because of their impact on net performance that can be substantial.This especially for investments,like real estate,which require intensive management.However,differ...Investors should always argue about management fees because of their impact on net performance that can be substantial.This especially for investments,like real estate,which require intensive management.However,different from traditional mutual funds that are usually related to the gross value of the assets under management,but similar to other financial industry sectors(e.g.hedge funds and private equity funds),REIT managers’compensation structure typically provides a basically fixed payment based alternatively on gross asset value(GAV)or net asset value(NAV).In addition,managers usually also gain a performance fee.The paper analyses how the two alternative compensation schemes influence REITs’investment decisions and capital structure and,consequently,REITs’share value and performance.The final issue addressed is whether—and under which conditions—one compensation scheme is superior to the other.Due to the(usual)market price discount on NAVs,both fee structures incentivise managers to leverage—even in a tax-free environment—in order to maximize the management fees.However,the leverage motivation is stronger for GAV-based than for NAV-based REITs,which are also expected to be more selective in investment decisions.Overall,considering initial fee percentage,GAV-based REITs are expected to execute higher management fees than NAV-based REITs due to the relevant leverage effect.Moreover,debt recourse produces different effects on share value if measured upon market price or net asset value.The empirical analysis focuses on public Italian REITs(2002-2012).The results seem to support the theoretical expectations.GAV-based REITs experience higher debt trends and levels than NAV-based REITs.At the same time,GAV-based REITs register lower real estate asset returns gross and net of management fees for both current and growth yields.Differences in the returns lead to permanent higher performances over total return indexes of NAV-based REITs compared to GAV-based REITs.展开更多
Active queue management(AQM)methods manage the queued packets at the router buffer,prevent buffer congestion,and stabilize the network performance.The bursty nature of the traffic passing by the network routers and th...Active queue management(AQM)methods manage the queued packets at the router buffer,prevent buffer congestion,and stabilize the network performance.The bursty nature of the traffic passing by the network routers and the slake behavior of the existing AQM methods leads to unnecessary packet dropping.This paper proposes a fully adaptive active queue management(AAQM)method to maintain stable network performance,avoid congestion and packet loss,and eliminate unnecessary packet dropping.The proposed AAQM method is based on load and queue length indicators and uses an adaptive mechanism to adjust the dropping probability based on the buffer status.The proposed AAQM method adapts to single and multiclass traffic models.Extensive simulation results over two types of traffic showed that the proposed method achieved the best results compared to the existing methods,including Random Early Detection(RED),BLUE,Effective RED(ERED),Fuzzy RED(FRED),Fuzzy Gentle RED(FGRED),and Fuzzy BLUE(FBLUE).The proposed and compared methods achieved similar results with low or moderate traffic load.However,under high traffic load,the proposed AAQM method achieved the best rate of zero loss,similar to BLUE,compared to 0.01 for RED,0.27 for ERED,0.04 for FRED,0.12 for FGRED,and 0.44 for FBLUE.For throughput,the proposed AAQM method achieved the highest rate of 0.54,surpassing the BLUE method’s throughput of 0.43.For delay,the proposed AAQM method achieved the second-best delay of 28.51,while the BLUE method achieved the best delay of 13.18;however,the BLUE results are insufficient because of the low throughput.Consequently,the proposed AAQM method outperformed the compared methods with its superior throughput and acceptable delay.展开更多
文摘In today’s competitive business environment,strategic performance management(SPM)is crucial for continuous growth and innovation.Therefore,it is important to realize the advantages of SPM in enterprise applications.This paper analyzes the theoretical basis,implementation framework,and application effects of SPM in enterprises by examining actual cases from different industries.It reveals the core elements of an effective performance management system,including clear goal setting,reasonable performance indicators,and periodic performance evaluations.Additionally,the paper examines the impact of China’s specific economic policy environment on the implementation of SPM and proposes strategies to optimize performance management practices,ultimately promoting the achievement of strategic goals.This paper provides specific and personalized practical guidance for enterprises.
文摘This study develops a procedure to rank agencies based on their incident responses using roadway clearance times for crashes. This analysis is not intended to grade agencies but to assist in identifying agencies requiring more training or resources for incident management. Previous NCHRP reports discussed usage of different factors including incident severity, roadway characteristics, number of lanes involved and time of incident separately for estimating the performance. However, it does not tell us how to incorporate all the factors at the same time. Thus, this study aims to account for multiple factors to ensure fair comparisons. This study used 149,174 crashes from Iowa that occurred from 2018 to 2021. A Tobit regression model was used to find the effect of different variables on roadway clearance time. Variables that cannot be controlled directly by agencies such as crash severity, roadway type, weather conditions, lighting conditions, etc., were included in the analysis as it helps to reduce bias in the ranking procedure. Then clearance time of each crash is normalized into a base condition using the regression coefficients. The normalization makes the process more efficient as the effect of uncontrollable factors has already been mitigated. Finally, the agencies were ranked by their average normalized roadway clearance time. This ranking process allows agencies to track their performance of previous crashes, can be used in identifying low performing agencies that could use additional resources and training, and can be used to identify high performing agencies to recognize for their efforts and performance.
基金projects MARGIN(Integrated and Responsive Maritime Supply Chain)funded by the Regional Research Fund Mid-Norway,EFFEKT(Effective Production of Advanced Maritime Equipment)the SFI Norman(Norwegian Manufacturing Future)programme supported by the Research Council of Norway and the project Linked Design(Linked Knowledge in Manufacturing,Engineering and Design)with funding from the European Union's Seventh Framework Programme([FP7/2007-2013])(Grant No.284613)
文摘There are many different production situations that can be employed to meet demand. In the engineer-to- order (ETO) production situation, products are manufac- tured to meet specific customer needs by unique engineering or significant customization. In such an environment, failing to supply the required materials in the right quantities and at the right time increases the risk of breaching due date agreements and thereby losing customer satisfaction. As such, materials management is one of the most important and critical processes within production planning and control in ETO. To bring attention and improvement to this area, ETO companies may benefit from a performance measurement system (PMS) that systematically monitors how well mate- rials management is carried out. The design of a company's PMS varies with its production situation. Within the large body of literature on performance management and mea- surement, limited literature specifically addressing perfor- mance measurement in ETO has been identified. After being approached by a Norwegian ETO company requesting a PMS for materials management, the authors therefore set out to design the PMS from scratch, using literature on ETO, materials management and performance management and measurement as a starting point. The paper presents the proposed PMS. It provides a basis for further studies on the topic, and could be used by managers in ETO companies to assess and improve their materials management practice.
文摘Performance measurement(PM)generates useful data for process control,facilitates communication between different sectors,and helps to align efforts on the most important aspects of the business.Thus,PM plays a key role in the management of projects and organizations.PM is also important in the implementation of lean production principles and methods,such as reducing the share of nonvalue-adding activities,increasing process transparency,building continuous improvement into the process,and benchmarking.Moreover,the adoption of the lean production philosophy requires changes in PM.Despite its importance,limited studies have been conducted on the use of PM systems for assessing the impact of lean production programs in construction projects.In addition,studies on how lean companies(or projects)use performance measurement and to what extent the indicators adopted reflect the result of actions that have been undertaken are limited.This study proposes a set of requirements in PM systems of construction projects from the perspective of lean production and a taxonomy of performance metrics for lean production systems.Five empirical studies have been carried out on construction companies from South America involved in the implementation of lean production systems.The scope of this investigation is limited to the construction projects as production systems rather than PM at the level of construction organizations.
文摘Performance audit has become a mainstream-trend in the development of modern government audit currently.However,the launch of performance audit in China is unbalanced,which the performance audit with Chinese characteristics develops quite fast,while the full sense of performance audit develops quite slowly.Except factors such as different recognition of performance audit,the main reason of this development imbalance is that development of performance audit is limited by the current audit system.Nevertheless,it is not hard to find some positive aspects existing in the development of performance audit in China,concluding developments and changes of the environment of performance audit in China over the recent years.
文摘Investors should always argue about management fees because of their impact on net performance that can be substantial.This especially for investments,like real estate,which require intensive management.However,different from traditional mutual funds that are usually related to the gross value of the assets under management,but similar to other financial industry sectors(e.g.hedge funds and private equity funds),REIT managers’compensation structure typically provides a basically fixed payment based alternatively on gross asset value(GAV)or net asset value(NAV).In addition,managers usually also gain a performance fee.The paper analyses how the two alternative compensation schemes influence REITs’investment decisions and capital structure and,consequently,REITs’share value and performance.The final issue addressed is whether—and under which conditions—one compensation scheme is superior to the other.Due to the(usual)market price discount on NAVs,both fee structures incentivise managers to leverage—even in a tax-free environment—in order to maximize the management fees.However,the leverage motivation is stronger for GAV-based than for NAV-based REITs,which are also expected to be more selective in investment decisions.Overall,considering initial fee percentage,GAV-based REITs are expected to execute higher management fees than NAV-based REITs due to the relevant leverage effect.Moreover,debt recourse produces different effects on share value if measured upon market price or net asset value.The empirical analysis focuses on public Italian REITs(2002-2012).The results seem to support the theoretical expectations.GAV-based REITs experience higher debt trends and levels than NAV-based REITs.At the same time,GAV-based REITs register lower real estate asset returns gross and net of management fees for both current and growth yields.Differences in the returns lead to permanent higher performances over total return indexes of NAV-based REITs compared to GAV-based REITs.
基金funded by Arab Open University Grant Number(AOURG2023–005).
文摘Active queue management(AQM)methods manage the queued packets at the router buffer,prevent buffer congestion,and stabilize the network performance.The bursty nature of the traffic passing by the network routers and the slake behavior of the existing AQM methods leads to unnecessary packet dropping.This paper proposes a fully adaptive active queue management(AAQM)method to maintain stable network performance,avoid congestion and packet loss,and eliminate unnecessary packet dropping.The proposed AAQM method is based on load and queue length indicators and uses an adaptive mechanism to adjust the dropping probability based on the buffer status.The proposed AAQM method adapts to single and multiclass traffic models.Extensive simulation results over two types of traffic showed that the proposed method achieved the best results compared to the existing methods,including Random Early Detection(RED),BLUE,Effective RED(ERED),Fuzzy RED(FRED),Fuzzy Gentle RED(FGRED),and Fuzzy BLUE(FBLUE).The proposed and compared methods achieved similar results with low or moderate traffic load.However,under high traffic load,the proposed AAQM method achieved the best rate of zero loss,similar to BLUE,compared to 0.01 for RED,0.27 for ERED,0.04 for FRED,0.12 for FGRED,and 0.44 for FBLUE.For throughput,the proposed AAQM method achieved the highest rate of 0.54,surpassing the BLUE method’s throughput of 0.43.For delay,the proposed AAQM method achieved the second-best delay of 28.51,while the BLUE method achieved the best delay of 13.18;however,the BLUE results are insufficient because of the low throughput.Consequently,the proposed AAQM method outperformed the compared methods with its superior throughput and acceptable delay.