People, Strategy and Performance: Results from the Second Work and Enterprise Business Survey

Abstract. To this day, researchers are debating the adequacy of using financial incentives to bolster performance in work settings. Our goal was to contribute to current understanding by considering the moderating role of distributive justice in the relation between financial incentives, motivation, and performance. Based on self-determination theory, we hypothesized that when bonuses are fairly distributed, using financial incentives makes employees feel more competent and autonomous, which in turn fosters greater autonomous motivation and lower controlled motivation, and better work performance. Results from path analyses in three samples supported our hypotheses, suggesting that the effect of financial incentives is contextual, and that compensation plans using financial incentives and bonuses can be effective when properly managed.

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Two Sides of the Same Coin. University-Industry Collaboration and Open Innovation as Enhancers of Firm Performance

Sustainability ◽

10.3390/su13073866 ◽

2021 ◽

Vol 13 (7) ◽

pp. 3866

Author(s):

Joana Costa ◽

Ana Rita Neves ◽

João Reis

Keyword(s):

Firm Performance ◽

Open Innovation ◽

Primary Data ◽

Company Performance ◽

Innovation Ecosystem ◽

Industry Collaboration ◽

And Performance ◽

Performance Results ◽

The Impact ◽

University Industry

Open innovation is proved to be determinant in the rationalization of sustainable innovation ecosystems. Firms, universities, governments, user communities and the overall environment are called to contribute to this dynamic process. This study aims to contribute to a better understanding of the impact of open innovation on firms’ performance and to empirically assess whether university-industry collaborations are complementary or substitutes for this activity. Primary data were collected from a survey encompassing 908 firms, and then combined with performance indicators from SABI (Spanish and Portuguese business information). Econometric estimations were run to evaluate the role of open innovation and university-industry collaboration in the firm innovative propensity and performance. Results highlight the importance of diversity in collaborations with the academia and inbound open innovation strategy as enhancers of firm performance. The two activities reinforce each other. By testing the impact of open innovation practices on company performance, the need for heterogeneity in terms of contact type and university is also demonstrated. Findings cast light on the need to reformulate existing policy packages, reinforcing the ties with academia as well as the promotion of open innovation strategies. The connection to the innovation ecosystem needs to be further encouraged as well as the promotion of persistent connections with the knowledge sources in an open and multilateral framework.

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DESIGN, PREPRODUCTION, AND PERFORMANCE OF THE CDF RUN IIB SILICON DETECTOR

International Journal of Modern Physics A ◽

10.1142/s0217751x05027692 ◽

2005 ◽

Vol 20 (16) ◽

pp. 3811-3814

Author(s):

◽

PAUL LUJAN

Keyword(s):

Building Block ◽

Silicon Detector ◽

Radiation Hardness ◽

Control Signals ◽

Lightweight Structure ◽

And Performance ◽

Performance Results ◽

And Control ◽

Radiation Hard ◽

Detector Design

A new silicon detector was designed by the CDF collaboration for Run IIb of the Tevatron at Fermilab. The main building block of the new detector is a "supermodule" or "stave", an innovative, compact and lightweight structure of several readout hybrids and sensors with a bus cable running directly underneath the sensors to carry power, data, and control signals to and from the hybrids. The hybrids use a new, radiation-hard readout chip, the SVX4 chip. A number of SVX4 chips, readout hybrids, sensors, and supermodules were produced and tested in preproduction. The performance (including radiation-hardness) and yield of these components met or exceeded all design goals. The detector design goals, solutions, and performance results are presented.

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Popularity and performance of bioinformatics software: the case of gene set analysis

BMC Bioinformatics ◽

10.1186/s12859-021-04124-5 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Chengshu Xie ◽

Shaurya Jauhari ◽

Antonio Mora

Keyword(s):

Comprehensive Evaluation ◽

Gene Set Analysis ◽

Tool Selection ◽

Functional Interpretation ◽

Selection Procedures ◽

Gene Set ◽

And Performance ◽

Reported Data ◽

Performance Results

Abstract Background Gene Set Analysis (GSA) is arguably the method of choice for the functional interpretation of omics results. The following paper explores the popularity and the performance of all the GSA methodologies and software published during the 20 years since its inception. "Popularity" is estimated according to each paper's citation counts, while "performance" is based on a comprehensive evaluation of the validation strategies used by papers in the field, as well as the consolidated results from the existing benchmark studies. Results Regarding popularity, data is collected into an online open database ("GSARefDB") which allows browsing bibliographic and method-descriptive information from 503 GSA paper references; regarding performance, we introduce a repository of jupyter workflows and shiny apps for automated benchmarking of GSA methods (“GSA-BenchmarKING”). After comparing popularity versus performance, results show discrepancies between the most popular and the best performing GSA methods. Conclusions The above-mentioned results call our attention towards the nature of the tool selection procedures followed by researchers and raise doubts regarding the quality of the functional interpretation of biological datasets in current biomedical studies. Suggestions for the future of the functional interpretation field are made, including strategies for education and discussion of GSA tools, better validation and benchmarking practices, reproducibility, and functional re-analysis of previously reported data.

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On improving the training of aircraft engineers

Economic Analysis Theory and Practice ◽

10.24891/ea.20.5.865 ◽

2021 ◽

Vol 20 (5) ◽

pp. 865-885

Author(s):

Leonid B. SOBOLEV

Keyword(s):

Aviation Industry ◽

Information Protection ◽

Global Trends ◽

Space Industry ◽

The Poor ◽

Military Aviation ◽

And Performance ◽

Performance Results ◽

The Military ◽

The U.S

Subject. The article continues the discussion about the method of training aircraft engineers to work in the military and civil segments of aviation and rocket-and-space industry. Objectives. The purpose is to improve the training of Russian engineers to work in the competitive market environment, on the basis of the analysis of experience in training the aviation engineers in leading foreign technical universities. Methods. The study rests on the comparative analysis of implementation of major projects in the military and civil segments of aviation in the U.S. and Russia, as well as programs for training aircraft engineers in both countries. Results. The analysis shows that the duration of modern large military aviation projects in both countries is the same (the comparison of cost is impossible, due to information protection in Russia), while in the civil segment of the aviation industry, Russia's lagging behind is significant both in terms of the duration of projects and performance results. One of the reasons is in the poor training of aircraft engineers to work in the competitive environment. Conclusions. It is crucial to reform Russian aviation universities in terms of conformity to global trends in multidisciplinarity and differentiation of financing and research base.

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Secretly Pruned Convolutional Codes: Security Analysis and Performance Results

IEEE Transactions on Information Forensics and Security ◽

10.1109/tifs.2016.2537262 ◽

2016 ◽

Vol 11 (7) ◽

pp. 1500-1514 ◽

Cited By ~ 1

Author(s):

Nicholas Kolokotronis ◽

Alexandros Katsiotis ◽

Nicholas Kalouptsidis

Keyword(s):

Security Analysis ◽

Convolutional Codes ◽

And Performance ◽

Performance Results

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Supercomputer simulations of structure formation in the Universe

Proceedings of the International Astronomical Union ◽

10.1017/s174392131700045x ◽

2016 ◽

Vol 12 (S325) ◽

pp. 10-16

Author(s):

Tomoaki Ishiyama

Keyword(s):

Domain Decomposition ◽

Structure Formation ◽

Short Range ◽

Large Scale ◽

Massively Parallel ◽

Average Performance ◽

And Performance ◽

Performance Results ◽

The Universe ◽

Peak Speed

AbstractWe describe the implementation and performance results of our massively parallel MPI†/OpenMP‡ hybrid TreePM code for large-scale cosmological N-body simulations. For domain decomposition, a recursive multi-section algorithm is used and the size of domains are automatically set so that the total calculation time is the same for all processes. We developed a highly-tuned gravity kernel for short-range forces, and a novel communication algorithm for long-range forces. For two trillion particles benchmark simulation, the average performance on the fullsystem of K computer (82,944 nodes, the total number of core is 663,552) is 5.8 Pflops, which corresponds to 55% of the peak speed.

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Self-efficacy and performance of the roundhouse kick in taekwondo

Revista de Artes Marciales Asiáticas ◽

10.18002/rama.v9i2.1323 ◽

2014 ◽

Vol 9 (2) ◽

pp. 97 ◽

Cited By ~ 2

Author(s):

Isaac Estevan ◽

Octavio Álvarez ◽

Coral Falcó ◽

Isabel Castillo

Keyword(s):

Self Efficacy ◽

Impact Force ◽

High Reliability ◽

Sport Performance ◽

Total Response Time ◽

Psychological Training ◽

Males And Females ◽

And Performance ◽

Performance Results ◽

The Relationship

Development of self-efficacy scales allows the analysis of athletes’ perceptions and examination of the relationship between perception and performance. The aim of this paper was to: (1) develop a specific self-efficacy scale in a taekwondo task, the roundhouse kick, and (2) analyse the sport performance and its relationship with two self-efficacy scales (specific and general) outcomes according to the athletes’ gender.<strong> </strong>Forty-three taekwondo athletes (33 male and 10 female) participated in this study. The Physical (PSE) and Specific (RKSES) self-efficacy scales were administered. Performance data (impact force and total response time) were acquired by athletes kicking twice to an instrumented target. Results showed that the specific self-efficacy scale has high reliability and is able to predict sport performance in males and females. Males had higher self-efficacy scores and also higher performance results than females. Females’ taekwondo psychological training should be focus on improving their self-efficacy perception in order to increase their performance in the roundhouse kick. This specific self-efficacy scale for the taekwondo roundhouse kick offers empirical information to coaches, sport psychologists and researchers that allow them to predict athletes’ sport performance in the roundhouse kick.

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