ПОНЯТТЯ ПЕРФЕКЦІОНІЗМУ: ПОЗИТИВНИЙ ТА НЕГАТИВНИЙ АСПЕКТИ

1970 ◽  
Vol 6 (1) ◽  
pp. 292-301
Author(s):  
Целюк Тетяна
Keyword(s):  
Comparative Analysis ◽  
Personality Disorders ◽  
Future Research ◽  
Different Types ◽  
Psychological Models ◽  
Psychological Difficulties ◽  
Typological Approach

Стаття розкриває поняття перфекціонізму в контексті типологічного підходу. Проведений огляд наукових джерел засвідчив, що існують різні типи та форми представленого феномену. Автор здійснює теоретичний аналіз досліджень західних вчених, що підтверджують припущення про наявність двох форм чи типів перфекціонізму: "здорового" (нормального) і "патологічного" (невротичного). Невротичні прояви перфекціонізму мають значущі кореляційні зв’язки з психологічними труднощами та розладами особистості, а прояви нормального перфекціонізму пов’язані з високими досягненнями у спорті, творчості, науці. Залежно від вектору спрямованості перфекціонізм набуває трьох різних форм: "я-орієнтований" перфекціонізм (selforientedperfectionism), перфекціонізм, орієнтований на інших (sociallyorientedperfectionism), "соціально-приписуваний" перфекціонізм (sociallypre-scriptedperfectionism). Крім зарубіжних підходів, було розглянуто погляди українських та російських психологів на досліджуваний феномен. У статті, ґрунтуючись на даних експериментів і психотерапевтичної практики, виокремлено характеристики перфекціоністів та узагальнено їх щодо критеріїв, які диференціюють респондентів на ці два типи. Проведено порівняльний аналіз основних психологічних моделей перфекціонізму, а саме "британської моделі" R. Frost та "канадської моделі" G. Flett, P. Hewitt.  Обгрунтовано також прогнози щодо майбутніх досліджень у цій сфері. The articl are veals the concept of perfectionism in the context of typological approach. The review of scientifics our cesshowed that there are different types and forms of the present phenomenon. The authorprovides a the oretica lanalysis of studies of American and European scientists that confirm the assumption of the existence of two forms or types of perfectionism, "healthy" (normal) and "pathological" (neurotic). Neurotic perfectionism has signific ant correlation with psychological difficulties and personality disorders, and normalsigns of perfectionis massociated with high achievements in sports, art, science. Depending on the orientation perfectionism takes the different forms: focus edonthemselves (self-orientedperfectionism), focus edontheother (socially oriented perfectionism) on the projection environ mentitself (sociallypre-scripted perfectionism). We consider the views of perfectionism Ukrainian and Russian psychologists. In the paper, based on data from experiments and psychotherapeutic practices we singlefeatures of perfectionists and summari zedthecriteri at hat differentiate respondents in these two types. Inthisarticle, weconducted a comparative analysis of the basic psychological models of perfectionism, namely "Britishmodel" R. Frostand "Canadianmodel" G. Flett, P. Hewitt. We also made for ecasts of future research in this area.

IDM Products vs. Services

2012 ◽  
pp. 43-51
Author(s):  
Aditya Budi ◽  
Mi Wang ◽  
Tianyuan Wang
Keyword(s):  
Comparative Analysis ◽  
Digital Media ◽  
Case Studies ◽  
Development Process ◽  
Competitive Market ◽  
Future Research ◽  
Digital Goods ◽  
Digital Products ◽  
Different Types ◽  
Points Of View

In today’s increasingly competitive market, marketing a product or a service is getting tougher than before, especially in the industry domain of interaction digital media (IDM), which produces completely different types of digital goods. Knowing the key differences between them is vital, as it will allow IDM companies to position resources more effectively. Moreover, it will help get more profits from investments. Unfortunately, research done on this topic is still rare and inadequate. This chapter aims to give a comparative analysis between the digital products and services study from the perspective of marketing, in a bid to better understand their differences and similarities. The comparative analysis is divided into different stages according to the new digital goods development process. We use two case studies to support the points of view: WSJ.com and PayPal. Directions for future research are discussed at the end of this chapter.

An Analysis of Lexical Chunks in Online Business Letters (OBL) and Business Letter Corpus (BLC): A Corpus-Based Study

2020 ◽  
Vol 4 (2) ◽  
pp. 63
Author(s):  
Hairul Azhar Mohamad ◽  
Muhammad Luthfi Mohaini ◽  
Pavithran Ravinthra Nath
Keyword(s):  
Comparative Analysis ◽  
Sampling Method ◽  
Future Research ◽  
Frequent Type ◽  
Sentence Level ◽  
Lexical Collocations ◽  
Online Business ◽  
Lexical Density ◽  
Concordance Program ◽  
Corporate Business

This research investigated into the lexical density and frequencies of five types of lexical chunks located in 300 online business letters. Top 10 websites on business correspondence had been identified in terms of traffic visitors and bounce rate under one million web rankings worldwide. Criterion Sampling method was identified prior to extracting the sample letters from the websites. The data was then run with Antconc Concordance Program (ACP) for lexical density and frequency analysis. Top 15 lexical chunks in online business letters (OBL) were compared against those top 15 in Business Letter Corpus (BLC). Findings revealed that there was a total of 39 916-word tokens and 939 counts of lexical chunks found in this corpus. It was found that more lexical words do not imply more lexical chunks used in based on types of business letters.  All 5 types of lexical chunks were identified and ranked in descending order; Sentence Builders (SB) as the most frequent type, followed by Collocations (COL), Deictic locutions (DLs), Polywords (POLs) and Institutionalized Expressions (IUs) as the least frequent type of lexical chunk. Sub-divisional analysis indicated that Grammatical Collocations (GCs) were more common than Lexical Collocations (LCs). Majority of lexical chunks were formed more at sentence level than phrasal level. Comparative analysis between top 15 lexical chunks in OBL and BLC discovered that most top lexical chunks in online business letters are representative of those corporate business letters in BLC. Pedagogical implications in terms of the reliability of online business letters for academic reference and future research considerations are also addressed.

Overview of Subsynchronous Oscillation in Grid-connected Wind Farm

2020 ◽  
Vol 13 (7) ◽  
pp. 969-979
Author(s):  
Xu Pei-Zhen ◽  
Lu Yong-Geng ◽  
Cao Xi-Min
Keyword(s):  
Power Systems ◽  
Wind Turbine ◽  
Large Scale ◽  
Wind Farm ◽  
Wind Farms ◽  
Induction Generator ◽  
Future Research ◽  
Stable Operation ◽  
Subsynchronous Oscillation ◽  
Different Types

Background: Over the past few years, the subsynchronous oscillation (SSO) caused by the grid-connected wind farm had a bad influence on the stable operation of the system and has now become a bottleneck factor restricting the efficient utilization of wind power. How to mitigate and suppress the phenomenon of SSO of wind farms has become the focus of power system research. Methods: This paper first analyzes the SSO of different types of wind turbines, including squirrelcage induction generator based wind turbine (SCIG-WT), permanent magnet synchronous generator- based wind turbine (PMSG-WT), and doubly-fed induction generator based wind turbine (DFIG-WT). Then, the mechanisms of different types of SSO are proposed with the aim to better understand SSO in large-scale wind integrated power systems, and the main analytical methods suitable for studying the SSO of wind farms are summarized. Results: On the basis of results, using additional damping control suppression methods to solve SSO caused by the flexible power transmission devices and the wind turbine converter is recommended. Conclusion: The current development direction of the SSO of large-scale wind farm grid-connected systems is summarized and the current challenges and recommendations for future research and development are discussed.

Comparative Analysis of Machine Learning Techniques Using Predictive Modeling

2020 ◽  
Vol 13 ◽  
Author(s):  
Ritu Khandelwal ◽  
Hemlata Goyal ◽  
Rajveer Singh Shekhawat
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
Data Science ◽  
Training Data ◽  
Machine Learning Techniques ◽  
Future Trends ◽  
Data Set ◽  
Learning Stage ◽  
Learning Techniques ◽  
Different Types

Introduction: Machine learning is an intelligent technology that works as a bridge between businesses and data science. With the involvement of data science, the business goal focuses on findings to get valuable insights on available data. The large part of Indian Cinema is Bollywood which is a multi-million dollar industry. This paper attempts to predict whether the upcoming Bollywood Movie would be Blockbuster, Superhit, Hit, Average or Flop. For this Machine Learning techniques (classification and prediction) will be applied. To make classifier or prediction model first step is the learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations. Methods: All the techniques related to classification and Prediction such as Support Vector Machine(SVM), Random Forest, Decision Tree, Naïve Bayes, Logistic Regression, Adaboost, and KNN will be applied and try to find out efficient and effective results. All these functionalities can be applied with GUI Based workflows available with various categories such as data, Visualize, Model, and Evaluate. Result: To make classifier or prediction model first step is learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations Conclusion: This paper focuses on Comparative Analysis that would be performed based on different parameters such as Accuracy, Confusion Matrix to identify the best possible model for predicting the movie Success. By using Advertisement Propaganda, they can plan for the best time to release the movie according to the predicted success rate to gain higher benefits. Discussion: Data Mining is the process of discovering different patterns from large data sets and from that various relationships are also discovered to solve various problems that come in business and helps to predict the forthcoming trends. This Prediction can help Production Houses for Advertisement Propaganda and also they can plan their costs and by assuring these factors they can make the movie more profitable.

Antecedents and Consequences of Gossip in Work Groups

2019 ◽  
pp. 416-434
Author(s):  
Bianca Beersma ◽  
Gerben A. van Kleef ◽  
Maria T. M. Dijkstra
Keyword(s):  
Social Order ◽  
Information Exchange ◽  
Work Groups ◽  
Psychological Theory ◽  
Future Research ◽  
Group Norms ◽  
Group Effectiveness ◽  
Interpersonal Aggression ◽  
Different Types ◽  
Antecedents And Consequences

This chapter provides an overview of the antecedents and consequences of gossip in work groups. First, the chapter reviews the different motives for gossip in work groups (i.e., bonding, entertainment, emotional venting, information exchange, maintenance of group norms/social order, and interpersonal aggression) and links each motive to psychological theory. Second, the chapter reviews the different types of influence that gossip can have on various indicators of group effectiveness. Reflecting on the motives underlying gossip in work groups, as well as on its outcomes, it argues that future research should start integrating the diverse insights provided by earlier research on both gossip motives and outcomes, and it provides a number of suggestions for doing so.

scholarly journals Advantages and potential challenges of data management in e-maintenance

2019 ◽  
Vol 25 (3) ◽  
pp. 378-396 ◽  
Author(s):  
Arian Razmi-Farooji ◽  
Hanna Kropsu-Vehkaperä ◽  
Janne Härkönen ◽  
Harri Haapasalo
Keyword(s):  
Data Management ◽  
Design Methodology ◽  
Management Practices ◽  
Future Research ◽  
Conceptual Approach ◽  
Content Type ◽  
Different Types ◽  
Maintenance Systems ◽  
Industry Leader ◽  
Practical Implications

Purpose The purpose of this paper is twofold: first, to understand data management challenges in e-maintenance systems from a holistically viewpoint through summarizing the earlier scattered research in the field, and second, to present a conceptual approach for addressing these challenges in practice. Design/methodology/approach The study is realized as a combination of a literature review and by the means of analyzing the practices on an industry leader in manufacturing and maintenance services. Findings This research provides a general understanding over data management challenges in e-maintenance and summarizes their associated proposed solutions. In addition, this paper lists and exemplifies different types and sources of data which can be collected in e-maintenance, across different organizational levels. Analyzing the data management practices of an e-maintenance industry leader provides a conceptual approach to address identified challenges in practice. Research limitations/implications Since this paper is based on studying the practices of a single company, it might be limited to generalize the results. Future research topics can focus on each of mentioned data management challenges and also validate the applicability of presented model in other companies and industries. Practical implications Understanding the e-maintenance-related challenges helps maintenance managers and other involved stakeholders in e-maintenance systems to better solve the challenges. Originality/value The so-far literature on e-maintenance has been studied with narrow focus to data and data management in e-maintenance appears as one of the less studied topics in the literature. This research paper contributes to e-maintenance by highlighting the deficiencies of the discussion surrounding the perspectives of data management in e-maintenance by studying all common data management challenges and listing different types of data which need to be acquired in e-maintenance systems.

scholarly journals Advances in Forest Robotics: A State-of-the-Art Survey

Robotics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 53
Author(s):  
Luiz F. P. Oliveira ◽  
António P. Moreira ◽  
Manuel F. Silva
Keyword(s):  
Future Research ◽  
Navigation Systems ◽  
Public And Private ◽  
Environmental Preservation ◽  
The Public ◽  
Forest Exploitation ◽  
Different Types ◽  
Scientific Papers ◽  
Great Relevance ◽  
Robotic Applications

The development of robotic systems to operate in forest environments is of great relevance for the public and private sectors. In this sense, this article reviews several scientific papers, research projects and commercial products related to robotic applications for environmental preservation, monitoring, wildfire firefighting, inventory operations, planting, pruning and harvesting. After conducting critical analysis, the main characteristics observed were: (a) the locomotion system is directly affected by the type of environmental monitoring to be performed; (b) different reasons for pruning result in different locomotion and cutting systems; (c) each type of forest, in each season and each type of soil can directly interfere with the navigation technique used; and (d) the integration of the concept of swarm of robots with robots of different types of locomotion systems (land, air or sea) can compensate for the time of executing tasks in unstructured environments. Two major areas are proposed for future research works: Internet of Things (IoT)-based smart forest and navigation systems. It is expected that, with the various characteristics exposed in this paper, the current robotic forest systems will be improved, so that forest exploitation becomes more efficient and sustainable.

scholarly journals The use of Qualitative Comparative Analysis (QCA) to address causality in complex systems: a systematic review of research on public health interventions

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Benjamin Hanckel ◽  
Mark Petticrew ◽  
James Thomas ◽  
Judith Green
Keyword(s):  
Public Health ◽  
Comparative Analysis ◽  
Complex Systems ◽  
Qualitative Comparative Analysis ◽  
Complex Interventions ◽  
Health Interventions ◽  
Data Availability ◽  
Future Research ◽  
Public Health Interventions ◽  
Minimum Criteria

Abstract Background Qualitative Comparative Analysis (QCA) is a method for identifying the configurations of conditions that lead to specific outcomes. Given its potential for providing evidence of causality in complex systems, QCA is increasingly used in evaluative research to examine the uptake or impacts of public health interventions. We map this emerging field, assessing the strengths and weaknesses of QCA approaches identified in published studies, and identify implications for future research and reporting. Methods PubMed, Scopus and Web of Science were systematically searched for peer-reviewed studies published in English up to December 2019 that had used QCA methods to identify the conditions associated with the uptake and/or effectiveness of interventions for public health. Data relating to the interventions studied (settings/level of intervention/populations), methods (type of QCA, case level, source of data, other methods used) and reported strengths and weaknesses of QCA were extracted and synthesised narratively. Results The search identified 1384 papers, of which 27 (describing 26 studies) met the inclusion criteria. Interventions evaluated ranged across: nutrition/obesity (n = 8); physical activity (n = 4); health inequalities (n = 3); mental health (n = 2); community engagement (n = 3); chronic condition management (n = 3); vaccine adoption or implementation (n = 2); programme implementation (n = 3); breastfeeding (n = 2), and general population health (n = 1). The majority of studies (n = 24) were of interventions solely or predominantly in high income countries. Key strengths reported were that QCA provides a method for addressing causal complexity; and that it provides a systematic approach for understanding the mechanisms at work in implementation across contexts. Weaknesses reported related to data availability limitations, especially on ineffective interventions. The majority of papers demonstrated good knowledge of cases, and justification of case selection, but other criteria of methodological quality were less comprehensively met. Conclusion QCA is a promising approach for addressing the role of context in complex interventions, and for identifying causal configurations of conditions that predict implementation and/or outcomes when there is sufficiently detailed understanding of a series of comparable cases. As the use of QCA in evaluative health research increases, there may be a need to develop advice for public health researchers and journals on minimum criteria for quality and reporting.

scholarly journals Increasing University Competitiveness through Assessment of Green Content in Curriculum and Eco-Labeling in Higher Education

2021 ◽  
Vol 13 (2) ◽  
pp. 712
Author(s):  
Andrea Okanović ◽  
Jelena Ješić ◽  
Vladimir Đaković ◽  
Simonida Vukadinović ◽  
Andrea Andrejević Panić
Keyword(s):  
Higher Education ◽  
Sustainable Development ◽  
Comparative Analysis ◽  
Environmental Problems ◽  
Green Jobs ◽  
Positive Effects ◽  
The World ◽  
Different Types ◽  
Novi Sad ◽  
The University

Growing environmental problems and increasing requirements of green jobs force universities around the world not only to transform their curricula but also to enrich existing ones with contents related to the promotion of sustainable development. This paper aims to show the importance of measuring and monitoring the share of green contents in all university activities, as only in that way it is possible to monitor trends and give realistic assessments of their effect and importance. The paper presents a comparative analysis of different types of methodologies for assessing sustainable activities at universities as well as research conducted at the University of Novi Sad in Serbia and its comparison with the University of Gothenburg (Sweden). This research aims to point out the importance of increasing competitiveness in higher education through assessment of green content in a curriculum and its promotion. In this way, through eco-labeling methodology, it would be easier to identify those contents that, in a certain share, contribute to the promotion of sustainable development. Furthermore, this methodology can easily be extended across the country and the region, which would bring positive effects to all stakeholders in higher education.

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