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Number of results: 19
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Abstract

The aim of this study was to analyze the relationship between Big-Five personality traits, perceived self-efficacy (GSES) and dimensions of occupational burnout in accordance with Christina Maslach’s three-factor burnout model (emotional burnout, depersonalization, perceived lack of own accomplishments). Data collected among 271 teachers (82% female) aged 20–68 confirmed findings from previous research that four personality traits (Neuroticism, Extraversion, Agreeableness, Conscientiousness) are correlated with burnout and that they are significant predictors for all dimensions of burnout. In addition, it was shown that GSES plays a moderating role as a buffer that protects people with high levels of neuroticism from a sense of lack of own accomplishments. It was also found that GSES plays a mediating role for the relationship between Extraversion, Conscientiousness and Neuroticism and perceived lack of own accomplishments and that it is a suppressor for the relationship of neuroticism with emotional exhaustion. The results are discussed in the context of personality theories and their possible applications.
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Authors and Affiliations

Agnieszka Sylwia Zawadzka
Maciej Kościelniak
Anna Maria Zalewska
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Abstract

Subjective Well-Being is related to the Big-Five and to Individualistic and Collectivistic beliefs of Polish adolescents. In the present study, we examined whether Individualism and Collectivism beliefs mediate between the Big-Five and Subjective Well-being among adolescents, young and middle-aged adults. Adolescents (N = 174, 36% men, aged 14–18), young (N = 254, 45% men, aged 19–24) and middle-aged adults (N = 252, 54% men, aged 40–55) completed the NEO-FFI, the Ind-Col20, and measures of Subjective Well-being. The three groups differed on all dimensions. Adolescents reported the highest Neuroticism, the lowest Agreeableness, Conscientiousness, the highest Individualism and Collectivism beliefs and lowest SWB. Among adolescents, SEM analyses indicated that Subjective Well-being was negatively related to Neuroticism and Agreeableness, positively to Extraversion, Conscientiousness, Horizontal Individualism, Horizontal and Vertical Collectivism. Among young and middle-aged adults Subjective Well-being was negatively related to Neuroticism and Horizontal Collectivism, positively to Openness, Conscientiousness, Horizontal and Vertical Individualism. Beliefs partially mediated the effects of traits. Relationships were different for cognitive and affective Subjective Well-being indices.
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Authors and Affiliations

Anna M. Zalewska
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Abstract

Wikipedia, one of the world’s most popular websites, owes its success to its authors – i.e. to all of us. But how do we know if the information it offers is reliable?
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Authors and Affiliations

Włodzimierz Lewoniewski
1

  1. Department of Information SystemsPoznań University of Economics and Business
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Abstract

Mathematics offers tools renowned for their objectivity, which is a cornerstone of scientific inquiry. Yet the question arises: how accurately do statistical methods really reflect the complexities of the real world?
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Authors and Affiliations

Dominik Tomaszewski
1

  1. PAS Institute of Dendrology in Kórnik
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Abstract

In the paper the phenomenon of big data is presented. I pay my special attention to the relation of this phenomenon to research work in experimental sciences. I search for answers to two questions. First, do the research methods proposed within the paradigm big data can be applied in experimental sciences? Second, does applying the research methods subject to the big data paradigm lead, in consequence, to a new understanding of science?

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Authors and Affiliations

Sławomir Leciejewski
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Abstract

In the heterogeneous economic space, big cities are development poles that are usually characterized by the best conditions for running a business and the highest level and living conditions. Their role in development processes is the subject of many discussions. On 23 October 2017, at the invitation of the Mayor of Cracow, J. Majchrowski, an external Plenary meeting of the Committee for Spatial Development of the Polish National Academy of Sciences was held in Cracow, the aim of which was to discuss the role of big cities in Poland›s socio-economic development. This article presents the author›s opinions in a synthetic way, presenting the most important issues raised by him during the panel on the importance of Polish metropolises in shaping the development potential of the country and the region. In addition to the fundamental terminological and problematic discussion, the article describes the experience of Poznań as an agglomeration signifi cantly aff ecting the development of the region, formulating in the summary recommendations referring to the practice of regional policy.

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Authors and Affiliations

Paweł Churski
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Abstract

This research analyzes factors affecting the scientific success of
central bankers. We combine data from the RePEc and EDIRC databases,
which contain information about economic publications of authors from
182 central banks. We construct a dataset containing information about
3312 authors and almost 80,000 scientific papers published between 1965
and 2020. The results from Poisson regressions of citation impact
measure (called the h-index) on a number of research features
suggest that economists from the U.S. Federal Reserve Banks,
international financial institutions, and some eurozone central banks
are cited more frequently than economists with similar characteristics
from central banks located in emerging markets. Researchers from some
big emerging economies like Russia or Indonesia are cited particularly
infrequently by the scientific community. Beyond these outcomes, we
identify a significant positive relationship between research networking
and publication success. Moreover, economists cooperating with highly
cited scientists also obtain a high number of citations even after
controlling for the size of their research networks.
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Authors and Affiliations

Jakub Rybacki
1
Dobromił Serwa
2

  1. Polish Economic Institute, Poland
  2. SGH Warsaw School of Economics, Collegium of Economic Analysis, Warsaw, Poland
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Abstract

Power big data contains a lot of information related to equipment fault. The analysis and processing of power big data can realize fault diagnosis. This study mainly analyzed the application of association rules in power big data processing. Firstly, the association rules and the Apriori algorithm were introduced. Then, aiming at the shortage of the Apriori algorithm, an IM-Apriori algorithm was designed, and a simulation experiment was carried out. The results showed that the IM-Apriori algorithm had a significant advantage over the Apriori algorithm in the running time. When the number of transactions was 100 000, the running of the IM-Apriori algorithm was 38.42% faster than that of the Apriori algorithm. The IM-Apriori algorithm was little affected by the value of supportmin. Compared with the Extreme Learning Machine (ELM), the IM-Apriori algorithm had better accuracy. The experimental results show the effectiveness of the IM-Apriori algorithm in fault diagnosis, and it can be further promoted and applied in power grid equipment.

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Authors and Affiliations

Jianguo Qian
Bingquan Zhu
Ying Li
Zhengchai Shi
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Abstract

With the rapid development of remote sensing technology, our ability to obtain remote sensing data has been improved to an unprecedented level. We have entered an era of big data. Remote sensing data clear showing the characteristics of Big Data such as hyper spectral, high spatial resolution, and high time resolution, thus, resulting in a significant increase in the volume, variety, velocity and veracity of data.This paper proposes a feature supporting, salable, and efficient data cube for timeseries analysis application, and used the spatial feature data and remote sensing data for comparative study of the water cover and vegetation change. In this system, the feature data cube building and distributed executor engine are critical in supporting large spatiotemporal RS data analysis with spatial features. The feature translation ensures that the geographic object can be combined with satellite data to build a feature data cube for analysis. Constructing a distributed executed engine based on dask ensures the efficient analysis of large-scale RS data. This work could provide a convenient and efficient multidimensional data services for many remote sens-ing applications.
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Authors and Affiliations

Yassine Sabri
1
Fadoua Bahja
1
Henk Pet
2

  1. Laboratory of Innovation in Management and Engineering for Enterprise (LIMIE), ISGA Rabat, 27 Avenuel Oqba, Agdal, Rabat, Morocco
  2. Terra Motion Limited, 11 Ingenuity Centre, Innovation Park, Jubilee Campus, University of Nottingham, Nottingham NG7 2TU, UK
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Abstract

A common observation of everyday life reveals the growing importance of data science methods, which are increasingly more and more important part of the mainstream of knowledge generation process. Digital technologies and their potential for data collection and data processing have initiated the birth of the fourth paradigm of science, based on Big Data. Key to these transformations is datafication and data mining that allow the discovery of knowledge from contaminated data. The main purpose of the considerations presented here is to describe the phenomena that make up these processes and indicate their possible epistemological consequences. It has been assumed that increasing datafication tendencies may result in the formation of a data- centric perception of all aspects of reality, making data and the methods of their processing a kind of higher instance shaping human thinking about the world. This research is theoretical in nature. Such issues as the process of datafication and data science have been analyzed with a focus on the areas that raise doubts about the validity of this form of cognition.

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Authors and Affiliations

Grażyna Osika
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Abstract

The current literature on personality types—understood as basic configurations of the Big Five’s personality traits—provides inconsistent results. The most commonly reported, three-type RUO (Resilient-Undercontrolled- Overcontrolled) solution is not definitive, as other solutions are also" often obtained. The current paper starts from reviewing and discussing the inconsistencies found in the previous results as well as in the RUO typology itself. The prevalence of an exploratory orientation in research on personality type was interpreted as the main cause of these problems. Then, we proposed a solution by using the Two Factor Model of personality and its extension—the Circumplex of Personality Metatraits—as the theoretical foundation for a four-type RUNO typology (Resilient- Undercontrolled-Nonresilient-Overcontrolled). The paper presents the RUNO personality typology and its theoretical consequences – in particular, we argue that the RUNO (a) is the most theoretically justified, and therefore, empirically expected solution, (b) allows us to explain why the three-type RUO solution is so commonly obtained, and (c) helps to solve some other problems that have arisen in the literature (e.g., with “typeness”).
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Simsek, Ö. F., Koydemir, S., & Schütz, A. (2012). A multigroup multitrait- multimethod study in two countries supports the validity of a two- factor higher order model of personality. Journal of Research in Personality, 46, 442–449. https://doi.org/10.1016/j.jrp.2012.04.005
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Strus, W., Cieciuch, J. (2017). Towards a synthesis of person-ality, temperament, motivation, emotion and mental health mod-els within the Circumplex of Personality Metatraits. Journal of Research in Personality, 66, 70-95. https://doi.org/10.1016/j.jrp.2016.12.002.
Strus, W., Cieciuch, J. (2019). Are the questionnaire and the psycho- lexical Big Twos the same? Towards an integration of personality structure within the Circumplex of Personality Metatraits. Interna-tional Journal of Personality Psychology, 5, 18-35. https://doi.org/10.21827/ijpp.5.35594
Strus, W., Cieciuch, J., & Rowiński, T. (2014). The Circumplex of Personality Metatraits: A synthesizing model of personality based on the Big Five. Review of General Psychology, 18(4), 273–286. https://doi.org/10.1037/gpr0000017
Xie, X., Chen,W., Lei, L., Xing, C. & Zhang, Y. (2016). The relationship between personality types and prosocial behavior and aggression in Chinese adolescents. Personality and Individual Differences, 95, 56– 61. https://doi.org/10.1016/j.paid.2016.02.002
Zawadzki, B. (2016). Gamma i Delta w ujęciu Kołowego Modelu Metacech a przekonania w zaburzeniach osobowości [Gamma and Delta in the perspective of the Circumplex of Personality Metratraits and beliefs in personality disorders]. In A. Rynkiewicz, K. Jan-kowski, & W. Oniszczenko (Eds.), Wybrane metody i paradygmaty badawcze w psychologii [Selected research methods and paradigms in psychology] (pp. 203–220). Warsaw, PL: Wydawnictwo Naukowe Scholar.
Zawadzki, B. (2017). The location of personality disorders in the Circumplex of Personality Metatraits. Annals of Psychology, 20(2), 493–512. https://doi.org/10.18290/rpsych.2017.20.2-7en
Zawadzki, B., & Strelau, J. (2003a). Identyfikacja trzech podstawo-wych prototypów osobowości w grupach polskich: Próba reorien-tacji badań nad osobowością z koncepcji cech w koncepcję typów? [The identification of three basic personality prototypes: The attempt to reorientation of personality research from concept of traits to concept of types?]. Studia Psychologiczne, 41(4), 217– 242.
Zawadzki, B., & Strelau, J. (2003b). Trzy podstawowe typy czy cztery struktury temperamentu? [Three basic types or four struc-tures of temperament?]. Czasopismo Psychologiczne, 6, 271 –285.
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Authors and Affiliations

Włodzimierz Strus
1
Natalia Cybis
1
Jan Cieciuch
1
Tomasz Rowiński
1

  1. Cardinal Stefan Wyszyński University in Warsaw
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Abstract

Personality types are currently understood as basic configurations of personality traits from the Big Five model. However, to date, research has provided inconsistent results as to the number and content of personality types. The broadest support was found for the three-type RUO (Resilient-Undercontrolled-Overcontrolled) typology, but many studies indicate the existence of four or five basic personality types. The prevalence of an exploratory orientation in research on personality types was identified as the main cause of these inconsistencies, and the need for a well-justified theoretical basis for the personality typology was observed. The current study examines the predictions resulting from the four-type RUNO (Resilient-Undercontrolled-Nonresilient-Overcontrolled) typology – a proposal built on the Two Factor Model of personality and its extension: the Circumplex of Personality Metatraits. We used various measurement instruments (11 questionnaires to measure Big Five traits), samples (five samples with a total of 4430 respondents) and statistical procedures (cluster analyses on row and standardized data) testing the three-type, four-type and five-type solutions. We expected that although the robustness of the empirically derived type-solutions across different research conditions will be limited (in accordance with the previous studies), the configurations of each type found in the Big Five data will be in a concordance with the RUNO typology. Obtained results roughly confirmed our expectations. We conclude that a renewed focus on the theoretical basis of personality typology seems to be necessary to further advance this field of research and the Circumplex of Personality Metatraits enables the essential turn from an exploratory approach (usually used in the previous studies) to a theoretically driven approach (proposed by us in the current study) to personality typology.
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Authors and Affiliations

Włodzimierz Strus
1
Natalia Cybis
1
Jan Cieciuch
1
Tomasz Rowiński
1

  1. Cardinal Stefan Wyszyński University in Warsaw
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Abstract

Aiming at the problems of low accuracy, low efficiency and low stability of traditional methods and recent developments in advanced technology incite the industries to be in sync with modern technology. With respect to various available techniques, this paper designs a fuzzy comprehensive evaluation model of the manufacturing industry for transferring risk based on economic big-data analytics. The big-data analysis method is utilized to obtain the data source of fuzzy evaluation of the manufacturing industry to transfer risk using data as the basis of risk evaluation. Based on the risk factors, the proposed model establishes the risk index system of the manufacturing industry and uses the expert evaluation method to design the scoring method of the evaluation index system. To ensure the accuracy of the evaluation results, the manufacturing industry's fuzzy comprehensive model is established using the entropy weight method, and the expert evaluation results are modified accordingly. The experimental results show that the highest efficiency of the proposed method is 96%, the highest accuracy of the evaluation result is 75%. The evaluation result's stability is higher than the other existing methods, which fully verifies the effectiveness and can provide a reliable theoretical basis for enterprise risk evaluation research.
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Authors and Affiliations

Tong Sun
1
Chunzhi Liu
2

  1. Department of Economics, Shenyang Institute of Science and Technology, Shenyang, 110167, China
  2. College of International Business, Shenyang Normal University, Shenyang, 110034, China
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Abstract

The road network development programme, as well as planning and design of transport systems of cities and agglomerations require complex analyses and traffic forecasts. It particularly applies to higher-class roads (motorways and expressways), which in urban areas, support different types of traffic. Usually there is a conflict between the needs of long-distance traffic, in the interest of which higher-class roads run through undeveloped areas, and the needs of bringing such road closer to potential destinations, cities [1]. By recognising the importance of this problem it is necessary to develop the research and methodology of traffic analysis, especially trip models. The current experience shows that agglomeration models are usually simplified in comparison to large city models, what results from misunderstanding of the significance of these movements for the entire model functioning, or the lack of input data. The article presents the INMOP 3 research project results, within the framework of which it was attempted to increase the accuracy of traffic generation in agglomeration model owing to the use of BigData – the mobile operator’s data on SIM card movements in the Warsaw agglomeration.

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Authors and Affiliations

A. Brzeziński
T. Dybicz
Ł. Szymański
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Abstract

Modern IT and telecommunications technologies create new possibilities of data acquisition for the needs of traffic analyses and transport planning. At the same time, the current experience suggests that it is becoming increasingly difficult to obtain data on interurban travels of people in a traditional way (among others, in Poland there has been no comprehensive survey of drivers on the sections of non-urban roads since 2006). Within the framework of the INMOP 3 research project, an attempt was made to analyse the use of the Big Data application possibilities including data from SIM cards of the mobile telephony operator [1] and data from probe vehicle data (also known as “floating car data”), as data sources for carrying out the traffic analyses and modelling of travels by all means of transport in Poland. The article presents the manner, in which the data were used, as well as methodological recommendations for creating transport models at the national, regional and local levels. Especially the results of work can be applied for systematic passenger cars trip matrix update
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Authors and Affiliations

Andrzej Brzeziński
1
Tomasz Dybicz
1

  1. Warsaw University of Technology, Faculty of Civil Engineering, Al. Armii Ludowej 16, 00-637 Warsaw, Poland
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Abstract

Lean thinking and Industry 4.0 have been broadly investigated in recent years in intelligent manufacturing. Lean Production is still one of the most efficient industrial solutions in business and research, despite being implemented for a long time. On the other hand, Industry 4.0 has been introduced referring to the fourth industrial revolution. This study aims to analyze the combination of both Industry 4.0 and Lean production practices through a systematic literature review from a Lean Automation perspective. In this field, 189 articles are examined using VOSviewer for cluster analysis. Then, a more detailed analysis is provided to explore how Industry 4.0 and Lean techniques are integrated from a practical perspective. Results highlighted Big Data Analysis and Value Stream Mapping as the most common techniques, also emphasizing a growing trend toward new publications. Nevertheless, few practical applications are identified in the literature highlighting six gaps in the correlation of LA practices.
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Authors and Affiliations

Laura Lucantoni
1
Sara Antomarioni
1
Filippo Emanuele Ciarapica
1
Maurizio Bevilacqua
1

  1. Dipartimento di Ingegneria Industriale e Scienze Matematiche, Università Politecnica Delle Marche, Italy
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Abstract

Lifetime biographical and publication histories of 2,326 full professors were examined. A combination of administrative, biographical, and bibliometric data was used. Retrospectively constructed productivity, promotion age and speed classes were examined. About 50% of current top productive professors have been top productive throughout their academic careers, over 30–40 years. Topto- bottom and bottom-to-top transitions in productivity classes over academic careers are very rare. We used prestige-normalized productivity in which more weight is given to articles in high-impact than in low-impact journals, recognizing the highly stratified nature of academic science. The combination of biographical and demographic data with raw Scopus publication data from the past 50 years (N = 935,167 articles) made it possible to assign all full professors retrospectively to different productivity, promotion age, and promotion speed classes. In logistic regression models, there were two powerful predictors of belonging to the Top productivity class for full professors: being highly productive as associate professor and as assistant professor (increasing the odds by 180% and 360%). Neither gender nor age (biological or academic) emerged as statistically significant. Our findings have important implications for hiring policies as scientists stay in Polish academia usually for several decades.
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Authors and Affiliations

Marek Kwiek
1
ORCID: ORCID
Wojciech Roszka
2
ORCID: ORCID

  1. Institute for Advanced Studies in Social Sciences and Humanities (IAS) UAM w Poznaniu
  2. Uniwersytet Ekonomiczny w Poznaniu, Centrum Studiów nad Polityką Publiczną UAM
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Abstract

In this paper we analyze the phenomenon of quitting academic science and show how quitting differs between men and women, academic disciplines and over time. The approach presented is comprehensive: global, based on cohorts of scientists, and longitudinal – we observe the publication activity of individual scientists over time. Using metadata from Scopus, a global bibliometric database of publications and citations, we analyze the publication careers of scientists from 38 OECD countries who began publishing in 2000 ( N = 142 776) and 2010 ( N = 232 843). The paper tests the usefulness of large bibliometric datasets for a global analysis of academic careers.
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Authors and Affiliations

Marek Kwiek
1
ORCID: ORCID
Łukasz Szymula
2
ORCID: ORCID

  1. Institute for Advanced Studies in SocialSciences and Humanities (IAS), Uniwersytet im. Adama Mickiewicza w Poznaniu
  2. Wydział Matematyki i Informatyki, Uniwersytetim. Adama Mickiewicza w Poznaniu
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Abstract

Strategic Informatics is a monograph of the field of computer science in the field of; Its strategic development waves, the challenges of technological progress in the context of the strategic role of computer science, the main strategy-oriented applications in business, healthcare, agriculture, education and private home, strategic challenges of computer science in the humanities, digital state and city, sustainable development and information ethics, morality, and rights.
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Authors and Affiliations

Kazimierz Kowalski
1

  1. Professor Emeritus, California State University, Dominguez Hills

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