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The purpose of this paper is to identify energy efficiency metrics that can be used by IT managers to measure and maintain the implementation of cost savings and green initiatives in data centers.

The paper looks at the background of the problem and explores the reasons why energy savings in the data center are an important issue. Included are interviews and survey results from IT professionals serving at four unique organizations. A model of the measurable components of a data center is created to provide a framework for organizing metrics and communicating results throughout the corporation. The strengths and weaknesses of two of the most common data center metrics, PUE and DCP, are examined closely.

The paper concludes with future metric recommendations and a proposed credit‐based system that could be applied to encourage closer management of these metrics.

The metric recommendations can be used by IT managers resulting in energy efficiency improvements in their data centers.

The paper provides a good comprehension of multiple approaches and makes recommendations for a platform metric that can be further developed and adopted as a standard.

This study examines whether CEO power influences the book-based and market-based performance of Russian companies when it is restricted by the presence of essential shareholders, namely, state and influential businessmen.

Managerial power is divided into structural, ownership, expert and prestige. The proposed power metrics include not only CEOs but also the board of directors' characteristics that may restrict or enhance CEO power. The empirical analysis is based on the sample of 90 large traded Russian firms, which shares are included in the Moscow Stock Exchange Broad Market Index (MICEX BMI), observed from 2012 to 2019.

Panel data analysis suggests that higher board ownership and tenure may restrict CEO power, which in turn would be beneficial for corporate performance. the authors also see that in companies owned by influential businessmen, CEO power influence on M/B value is more negative, while state ownership does not moderate it. CEO power metrics, based on political experience and tenure, affect corporate performance differently in companies affiliated with extractive industries.

First, the authors consider two channels through which a company in emerging markets may get additional resources: CEOs and influential owners. Second, the authors develop power metrics based on Finkelstein's managerial power classification (1992) and the idea of relative power proposed by Bebchuk et al. (2011). It allows identifying whether the board of directors' may constrain or enhance CEO power to raise corporate performance. Third, the authors analyze developing Russian markets that represent a good ground for testing the question, whereas empirical research on Russia is relatively scarce (Grosman and Leiponen, 2018). Fourth, the authors pay particular attention to the CEO power in the extractive industry, strategically important for the Russian economy.

本研究擬探討行政總裁的權力，若因有不可或缺的股東 - 即國家和具影響力的實業家 - 的存在而受到約束時，其權力會否影響俄羅斯公司以賬簿為基礎和以市場為基礎的表現

管理權分為結構性的、所有權的、專家的和聲望的。提出的權力指標不但包括行政總裁，也涵蓋或會限制或增加行政總裁權力的董事會特徵。本研究的實證分析法是基於90間股份被納入莫斯科股票交易廣泛市場指數的大型俄羅斯上市公司樣本，觀察期由2012年至2019年

面板數據分析顯示、較高的董事會所有權和較長的任期或會限制行政總裁的權力，這因此有利於提升企業績效。我們亦看到，在具影響力的企業家擁有的公司裡，行政總裁權力對市價淨值的影響是較負面的，而國有制沒有把它減低。就隸屬採掘業的公司而言，基於政治經驗和任期的行政總裁權力指標，會對企業績效帶來不同的影響

(一) 我們考慮在新興市場公司可取得額外資源的兩個途徑：行政總裁和具影響力的所有者。(二) 我們基於芬克爾斯坦 (Finkelstein, 1992) 的管理權分類，以及 Bebchuk et al. (2011) 所提出相對功率的學說，建立了權力指標。憑著這權力指標，我們可鑑定董事會會限制、抑或增強行政總裁提升企業績效的權力。(三) 我們分析發展中的俄羅斯市場，其為測試我們問題的良好地方，而探討俄羅斯的實證研究較為稀有 (Grosman and Leiponen, 2018) 。(四) 我們特別關注在採掘業的行政總裁權力，而採掘業對俄羅斯經濟來說、是具有重要戰略意義的

Since the 1980s, higher education institutions in many developed Western countries have been facing competition for resources, have undergone economic rationalisation, adopted a New Public Management style of performance management and aspired to meet global standards of quality. This chapter explores the self-tracking practices of academic institutions and workers as they negotiate a field that has moved away from a quality evaluation system based primarily on social reputation towards one based increasingly on quantified outcome indicators. Universities typically measure research performance not only in terms of quantity of outputs but also the ‘attention capital’ they receive, for example, the number of citations or awards and prizes. These metrics and the emphasis on attention capital generally encourage a culture of competition rather than collaboration, while promoting the ‘celebrification’ of academic life. We argue that this trend has been intensified by technologies that gamify research achievements, continuously update citation and ‘read’ counts, and promote networked reputation. Under these conditions, academic institutions and workers have attempted to pursue a variety of positioning strategies that represent different degrees of conformity, resistance and compromise to the power of metrics.

Although the PGA Tour provides a wide array of statistics, no single measure has successfully been able to predict a player's success during the season, either in terms of earnings per tournament or weighted average scores. The purpose of this paper is to present a metric that attempts to predict annual player rankings based on these two criteria.

The metric is computed from available statistics and attempts to encapsulate a player's unique strengths and weaknesses in a single number.

Deviations in rankings based on the metric are compared to those based on earnings per event and adjusted scoring averages. The results suggest that in addition to the average annual performance on the greens, the mix of tournaments played and the incidence of heroics or consistency have an important impact on the chances of success on the Tour.

The metric's predictions can be negatively affected if a golfer makes a large proportion of double eagles or double bogies.

The KCS (Key Criterion of Success) metric provides a quick route to succinctly summarizing a golfer's unique strengths and weaknesses in a single number.

Previous literature has mentioned the gap between statistics and success in golf. For the first time, possible reasons behind this divergence are identified in this paper.

Dual-rotor wind turbines (DRWTs) are a novel type of wind turbines that can capture more power than their single-rotor counterparts. Because their surrounding flow fields are complex, evaluating a DRWT design requires accurate predictive simulations, which incur high computational costs. Currently, there does not exist a design optimization framework for DRWTs. Since the design optimization of DRWTs requires numerous model evaluations, the purpose of this paper is to identify computationally efficient design approaches.

Several algorithms are compared for the design optimization of DRWTs. The algorithms vary widely in approaches and include a direct derivative-free method, as well as three surrogate-based optimization methods, two approximation-based approaches and one variable-fidelity approach with coarse discretization low-fidelity models.

The proposed variable-fidelity method required significantly lower computational cost than the derivative-free and approximation-based methods. Large computational savings come from using the time-consuming high-fidelity simulations sparingly and performing the majority of the design space search using the fast variable-fidelity models.

Due the complex simulations and the large number of designable parameters, the design of DRWTs require the use of numerical optimization algorithms. This work presents a novel and efficient design optimization framework for DRWTs using computationally intensive simulations and variable-fidelity optimization techniques.

Building on encapsulated interest account and motivated cognition account, this study aims to investigate how channel members extend trust in a channel leader when the channel leader applies various non-coercive power sources (e.g. referent, expert, legitimate and reward power). Besides, the study explored the changes in channel members’ trust in a channel leader when each non-coercive power source is coupled with coercive power sources.

Using survey items from previously validated scales, the study collected responses from 237 channel members of 3 paint distribution channels in India. Data were analysed using structural equation modelling and multi-group moderation analysis techniques.

Findings indicated that expert and reward power sources enhance trust in channel leaders while affective commitment mediates the effects of all the non-coercive power sources on trust. Further, coercive power weakens the effects of expert power on trust.

The study is based on a cross-sectional survey and confines to the paint industry in India. Replicating this study in other countries and industries will better generalise the study’s findings.

The study recommends that channel managers use power sources to build trust in channel leaders. Consequently, they will be able to emphasise those specific power sources while developing channel management strategies.

The study contributes to a greater understanding of the power-trust relationship.

The variations introduced during the production and maintenance of rotating machinery components are correlated with the vibration and noise emanating from the final system during its operational lifetime. Vibration and noise are especially unacceptable elements in high‐risk systems such as helicopters and aircraft engines, resulting in premature component degradation and a potentially unsafe flying environment. In such applications, individual components often are subject to 100 per cent inspection following production and during operation through rigorous maintenance, resulting in increased product development cycles and high production and operation costs. In this work, the aim is to provide engineers with a technique to evaluate vibration modes and levels for each component or subsystem prior to putting them into operation. This paper presents a preliminary investigation of the correlation of manufacturing and assembly variations with vibrations, using an experimental test rig. A factorial design is used to study the effects of various factors. Challenges in developing a process monitoring and inspection methodology to predict performance quality are identified, followed by a discussion of future work.

The purpose of the research was to evaluate the relationship between income and the recycled materials used in order to rate the business related to circular repair services under the burden of economic development in the countries of the European Union.

The analytical processes explore data from 2010 to 2020. The countries were divided into clusters according to economic maturity (Human Development Index (HDI), real Gross domestic product (GDP) per capita). Subsequently, the relationships were evaluated through the income indicators (for the 13 population groups), and the circular materials use rate indicator. The three indicators decomposed into five specific metrics were employed. The commonly applied characteristics of the descriptive analysis, Pearson's correlation coefficient and the panel regression analysis were engaged in the investigation.

The results demonstrated the vast disparities between income and circular materials use. In the more economically developed countries, their levels were twice higher as the less-developed countries. However, there is a meaningful positive relationship between them. The greatest attention was paid to the panel regression analysis applied to the relationship between income and circular economy (CE) use. The results showed that in a majority of the cases (different income categories), there is a significant positive relationship. When comparing the outcomes of the regression models between the groups of the countries according to their economic development, a closer relationship was clearly demonstrated in the countries with a lower level of development (Bulgaria, Romania, Croatia, Hungary).

Besides the specific strengths, the study also shows some limitations identified mainly on the data side. The latest data on the consumption of circular materials come from 2020, so they do not cover the period related to the pandemic crisis. It is believed that there may have been some changes in income during the pandemic, and they may have harmed CE. Furthermore, there is to note that some limitations occur in the analytical process. The incompleteness of the data can also be included here as certain data is not available; hence, it was estimated directly by the Eurostat statistical authority.

At the same time, the following are currently considered among the primary barriers: financial restrictions, insufficient infrastructure, weak government support and obstacles on the global market. Consumers, industry leaders and the government are the most influential stakeholder groups in overcoming barriers. Higher demand for repair services will also initiate further development of business activities in this area at various regional levels. Progress in the repair services economy will continue to require extensive efforts in the future. Systematic coordination of activities at multiple levels of government together with manufacturers, designers, educational institutions, community institutions and individuals will be essential.

Socioeconomic characteristics such as sex, age and education represent crucial predictors of consumer behavior. Therefore, the authors would like to focus future research on analyzing these characteristics and examine all the conceptual frameworks of consumer behavior and its positioning in detail within CE and the strategies related to the repair service. Discussing this issue through follow-up research will allow for solving complex transformational and political tasks related to the repair service strategies within CE. It will also inspire the discussion frameworks and multidisciplinary solutions to this issue affecting the fields of human geography, sociological, ethnographic and political sciences.

In less-developed countries, wage change can have a more substantial impact on the development of the CE. Also, a closer relationship between business in the field of repair services with income and the use of circular materials was manifested in the same way.

The purpose of this paper is to investigate the possibility to replace radio equipment compliance requirements based on equipment parameters with a set of simple metrics that accurately reflects spectrum utilization and spectrum-sharing efficiency.

The approach taken is to go back to the basic factors that determine radio system behavior in a shared spectrum environment: radio frequency power, duty cycle and frequency occupation. By normalizing these parameters, device specificity is avoided and a statistical perspective on spectrum utilization and sharing becomes possible.

The analysis shows that two technology-neutral metrics would be adequate to govern spectrum utilization and sharing: a spectrum utilization metric and a spectrum-sharing efficiency metric. These metrics form the core of regulatory requirements for shared frequency bands. Each shared frequency band could be assigned criteria based on these metrics that take into account the types of applications for which that band will be used.

This work is a first step that identifies the main factors that affect shared spectrum usage from a statistical point of view. More work is needed on the relationship between real-world interference and its abstraction in the spectrum-sharing rules.

The metrics proposed could be considered as the basis for a new approach to the regulation of the license-exempt spectrum, and, by extension, as the basis for generic compliance criteria. Their use would facilitate the compliance assessment of software-defined radio technology.

This work has no direct social implications.

This paper combines new work on spectrum utilization criteria with extensions of previous work on spectrum-sharing efficiency into a comprehensive proposal for a new approach to the regulation of the license-exempt spectrum.