同伴互评与教师反馈结合写作教学模式初探

运用同伴互评与教师反馈相结合的写作教学评改模式,教师应对学生进行有针对性的互改技巧培训,同时教师应尽量给学生提供表扬性和鼓励性评语。教师反馈应侧重于对作文深层方面的修改,提高学生的整体写作水平。     

英语写作中同伴反馈对学生注意的影响

统计结果表明,英语写作中同伴反馈对高、中、低水平组学习者的注意都有显著性的促进作用,且同伴反馈对于高、中、低水平组学习者注意的促进作用可以和教师反馈相媲美。本文以中国大学生为调查对象,调查在中国语境下英语写作中同伴反馈对不同英语水平的学生注意的影响。     

正向反馈申购者、市盈率管制与新股发行定价

传统的新股发行定价偏低观点受到了一些定价偏高实证现象的质疑,且难以解释我国长期实行的发行市盈率管制政策。本文在原有信息不对称理论的基础上,从正向反馈的非理性角度研究发行定价,进而分析市盈率管制政策的作用,并实证检验。研究认为,新股发行市场中存在着大量的正向反馈申购者,他们受近期新股上市表现激发而参与申购,这种噪声需求的存在使得新股即使被高估也仍然能够成功发行。发行人和承销商意识到这种噪声需求的存在,为了使其利润最大化,他们会抬高发行定价,而机构投资者在近期新股上市表现较好的情况下也易于高估新股,因此也能接受较高的询价价格。实证结果验证了正向反馈申购者对发行定价的这一正向影响,并且发现市盈率管制政策能够对此起到一定的抑制作用。     

Which consumer feedback metrics are the most valuable in driving consumer expenditure in the tourism industries? A view from macroeconomic perspective

The link between consumer feedback metrics and consumer expenditure at the microeconomic level has been extensively examined. However, little is known at the macroeconomic level about the influence of consumer feedback metrics on consumer expenditure. Relying on actual data concerning consumer feedback metrics and consumer expenditure, the present study examines the influence of various consumer feedback metrics on consumer expenditure in the tourism industries. Our study collected data about consumer feedback metrics and consumer expenditure over the period 2008–2017. The findings indicate that consumer satisfaction and consumer effort score (CES) are the best performing consumer feedback metrics in hotels, restaurants, and travel agencies industries. Furthermore, the top-2-box performs best for predicting consumer expenditure in online booking industry. The findings reflect the significance of consumer feedback metrics on the economy as a whole; therefore, efforts to boost consumer feedback metrics should consider a national agenda.     

Understanding the link between customer feedback metrics and firm performance

Practitioners utilise customer feedback metrics (CFM's) to monitor business performance. However, the influence of CFM's on firm performance has been ignored. Thus, this paper aims to examine the effects of CFM's on firm performance. Our study collected data about CFM's, marketing efforts, and financial performance over the period 2005–2020 from American Customer Satisfaction Index. The present study used a multiple regression panel analysis to investigate the influence of different CFMs (i.e., SAT, Top-2-Box, NPS proportion, NPS value, and CES) on firm performance (i.e., gross margin, sales growth, and Tobin's Q), moderating by operating environment factors (i.e., munificence, power, and dynamism). Our results revealed that Top-2-box is the best predictor CFM's to compare firms in online booking, hotels, and online shopping industries, while consumer satisfaction is the best predictor for electronic and fixed telecom industries. CES is the best CFM's to compare companies in restaurants industries. Moreover, NPS is the best metric to compare different companies in holiday parks industries. The results provide considerable managerial implications for effective use of resources regarding investing in most suitable CFM's to enhance firm performance.     

A secure hash function based on feedback iterative structure

Rapid growth of internet data has created enormous security challenges on authenticity, availability and integrity protection of these outsourced data. Hash function is one of the main solutions to face these challenges. This paper proposes a feedback iterative structure of hash function which utilises the variable feedback to resist attacks. Furthermore, to accelerate message diffusion, two novel modules are designed, one for iteration and the other for truncation. Experimental results show that the proposed hash function can effectively resist existing attacks. Moreover, comparing with other existing hash functions, it displays better on statistical performance, collision resistance and avalanche.     

Designing a smart information system: the influence of feedback on energy conservation persuasion

ABSTRACT

This study explored whether a smart information system can motivate users to conserve energy in the home environment. Three kinds of feedback information based on user decisions were discussed: emotion feedback with a happy mood, average feedback of a comparison group and ranking feedback within a comparison group. An experiment validated that all the feedbacks had a positive influence on users’ energy conservation performance. Users’ positive attitude toward the social group that they lived in and compared with would increased users’ environmentally friendly behaviours. Finally, several suggestions on the design of energy feedback are provided.     

Entry‐Timing Advantages in Renewable Natural Resources Industries

In this paper, we explore the conditions of entry‐timing advantages in renewable natural resource industries. Drawing from behavioural theory of the firm, we classify firms in two groups depending on the different heuristics used to make entry decisions when facing the cyclical endogenous nature of these industries: crowd firms are procyclical, making decisions based on the current phase of the industry cycle, whereas anti‐crowd firms follow a countercyclical strategy, making uncertain, and risky decisions by estimation of the next phase of the cycle. Therefore, anti‐crowd firms anticipate the deployment of resources each cycle, potentially gaining entry‐timing advantages beyond those provided by traditional competitive isolating mechanisms. Through a mathematical simulation of a performance feedback model, we reveal that the entry‐timing advantage of the anti‐crowd group becomes possible when the rivalry in the industry and the price sensitivity of competitors are high, and when the time required to deploy the resources is short.     

基于DD-LLMS算法的盲自适应判决反馈均衡器

本文把用于自适应线性滤波器的LLMS算法推广到盲判决反馈均衡器,并应用于短波信道的盲均衡。仿真结果表明这种DD—LLMS盲判决反馈均衡算法具有很好的稳定性、较快的收敛速度和较好的跟踪性能。     

Making the same mistake all over again: CEO overconfidence and corporate resistance to corrective feedback

Firms often make mistakes, from simple manufacturing overruns all the way to catastrophic blunders. However, there is considerable heterogeneity in the nature of corporate responses when faced with evidence that an error has taken place, and, therefore, in the likelihood that such errors will reoccur in the future. In this paper, we explore an important but understudied influence on firms' responses to corrective feedback—a CEO's level of overconfidence. Using multiple distinct measures of overconfidence and the empirical context of voluntary corporate earnings forecasts, we find strong, robust evidence that firms led by overconfident CEOs are less responsive to corrective feedback in improving management forecast accuracy. We further show that this relationship is moderated by prior forecast error valence, time horizon, and managerial discretion. Copyright © 2014 John Wiley & Sons, Ltd.