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Journal articles on the topic 'Influencing factor'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 March 2023

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1

Stávková, J., L. Stejskal, and Z. Toufarová. "Factors influencing consumer behaviour." Agricultural Economics (Zemědělská ekonomika) 54, No. 6 (June 24, 2008): 276–84. http://dx.doi.org/10.17221/283-agricecon.

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The main aim of the article is to understand the influence of factors biasing purchase decisions connected with measurement of consumers’ involvement. Consumption expenditures are purposefully subdivided according to the classification made by the Statistical Office of the European Communities. The performed survey showed that the most important factors biasing purchases of all commodity groups are products’ characteristics and the perceived quality. Together with these goes the factor price, nevertheless for example for the commodity group health price did not appear in the scale of the perceived importance at all. Factor necessity of need proved to be significant for decision making about the purchase of all commodities with the exception of alcoholic drinks and tobacco and recreation. Former experience compared to that is not crucial for clothing and footwear and housing equipment and contents. For alcoholic drinks and tobacco, there has notably approved also the factor brand. These analyses enable disclosure of rules of consumer decision making and thereby definition which factors for individual commodities should be targeted by the help of the marketing doyens or where the gradual changes should be achieved.

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Nováková, Petra, and František Vajkay. "Factors influencing the value of daylight factor." MATEC Web of Conferences 279 (2019): 03009. http://dx.doi.org/10.1051/matecconf/201927903009.

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Daylight has been used for centuries as the main source of light in the interior and has always been an implicit part of architecture since the buildings existed. Not only does it replace electrical lighting during the day, reducing electric power consumption, but it also affects heating and cooling, making it an important parameter in energy efficient design. Research has shown that daylight is a great asset to health and comfort, so it is crucial for building occupants. Daylighting of the interior spaces of buildings and their functionally defined parts is proposed according to visual activities. The minimum values for daylight factor are set for individual visual activities. This article deals with factors influencing the value of the daylight factor.

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M, Deepan, Deepa N, Rohini A, Malarkodi M, and Indumathi VM. "Factors influencing mutual fund investment decisions-factor analysis." International Journal of Chemical Studies 8, no. 1 (January 1, 2020): 2106–9. http://dx.doi.org/10.22271/chemi.2020.v8.i1ae.8578.

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Sward-Nilsson, A. M., P. O. Persson, U. Johnson, and S. Lethagen. "Factors influencing factor VIII activity in frozen plasma." Vox Sanguinis 90, no. 1 (January 2006): 33–39. http://dx.doi.org/10.1111/j.1423-0410.2005.00715.x.

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Ojekalu, Samson Oluseun, Olatoye Ojo, Timothy Tunde Oladokun, and Sumoila Aremu Olabisi. "Factors influencing service quality." Property Management 37, no. 2 (April 15, 2019): 215–28. http://dx.doi.org/10.1108/pm-05-2018-0035.

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Purpose The purpose of this paper is to examine factors influencing service quality of the property managers to the occupiers of shopping complexes in Ibadan, Nigeria. This was with a view to providing information that could enhance property management practice. Design/methodology/approach Primary data were used for the study. The study area was stratified into five axes using major roads where shopping complexes were highly concentrated. Systematic sampling technique was used to select 139 out of 276 shopping complexes in the study area. The data obtained were analyzed using mean ranking and principal component analysis. Findings The study found that ineffective employee’s compensation, high employee turnover, lack of continuous improvement culture, inadequate use of employee empowerment, inadequate staff, lack of teamwork, inability to see tenants as customer, lack of motivation, education and training of the property managers and poor planning among others were the most significant factors influencing service quality of the property managers using mean ranking. The study further found that professional and empowerment factor, teamwork and motivation factor, customer related factor, work volume and operation factor, skills and job satisfaction factor, top-management commitment factor, experience and communication factor as well as financial factor were the factors influencing service quality of the property managers using principal component analysis. Practical implications This study will aid the property managers of shopping complexes in identifying areas which needed to be improved upon in order to provide quality service to occupiers thereby enhancing tenant retention and loyalty. Originality/value Previous studies on factors influencing service quality have been focusing on hospitality, healthcare, real estate agency and library industries. This study is one of the very few studies that examined factors influencing service quality of property managers of shopping complex. Also, the paper underlines the need for property managers of shopping complexes to give required attention to factors influencing service quality for enhanced property management practice.

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Kiymaz, Halil. "Factors influencing SRI fund performance." Journal of Capital Markets Studies 3, no. 1 (July 8, 2019): 68–81. http://dx.doi.org/10.1108/jcms-04-2019-0016.

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Purpose The purpose of this paper is to examine socially responsible investment (SRI) fund performance and investigate the factors influencing fund performance. Design/methodology/approach The study uses return data from the Morningstar database for 152 SRI funds from January 1995 to May 2015. The initial analysis includes the use of various risk-adjusted performance measures, including Sharpe ratio, Treynor ratio, Information ratio, Sortino ratio and M2. The study also uses four factor models, including Jensen single-factor model, Fama–French three-factor model, Carhart four-factor model and Fama–French five-factor model to explain SRI fund returns. Finally, a cross-sectional regression analysis is applied to investigate the determinants of SRI fund returns. Findings The results show that, on average, the SRI funds provide comparable risk-adjusted returns relative to various benchmark market indices. Market factor is significant in explaining SRI fund returns. Examining each factor model, the results do not support Fama–French’s three-factor model as neither size nor value factor is significant. The author finds weak support for Carhart’s momentum factor along with the market factor. Finally, the Fama–French five-factor model shows market, size and operating profit factors explain SRI fund returns. The study also finds the fund performance is stronger for funds with the higher turnover ratio, the larger fund size and more managerial experience and lower for funds with higher expense ratio. Also, funds formed with negative screening perform better than positive or mixed screened funds. Originality/value SRI funds have received considerable attention from investors. This study contributes to the literature by examining SRI fund performance and investigating factors influencing their performance using multiple factor models and cross-sectional regression analysis. The findings are relevant for investors who demand responsible investment opportunities without sacrificing returns for nonfinancial screenings. Findings also suggest that investors should consider fund characteristics when selecting SRI funds.

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7

Bandalos, Deborah L. "Factors Influencing Cross-Validation of Confirmatory Factor Analysis Models." Multivariate Behavioral Research 28, no. 3 (July 1993): 351–74. http://dx.doi.org/10.1207/s15327906mbr2803_3.

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8

Pattnaik, Sudhanshu. "An Empirical Investigation into the Factors Influencing While Purchasing Car in India-A Confirmatory Factor Analysis." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10-SPECIAL ISSUE (October 25, 2019): 404–10. http://dx.doi.org/10.5373/jardcs/v11sp10/20192821.

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9

Zhao, Hongbao, Tao Wang, Huan Zhang, and Ziqiang Wei. "Comparison of Local Load Influence on Crack Evolution of Coal and Briquette Coal Samples." Advances in Civil Engineering 2018 (September 4, 2018): 1–12. http://dx.doi.org/10.1155/2018/1790785.

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Taking raw coal and briquette coal samples with preset center holes as research objects, this paper makes a systematic analysis and research of crack evolution laws of the two different coal samples under the local load. The results show that the raw coal and briquette coal samples are different mainly in number, dimension, and complexity of the internal microstructures, so it is not right to replace raw coal with briquette coal when performing observational study of the crack evolution of microstructures; under the effect of local load, local property, randomness of crack initiation position, and crack initiation stress of raw coal samples are greater than those of briquette coal samples; law of instantaneous maximum effective cut-through rate of raw coal samples is more complex than that of briquette coals; under the effect of uniformly distributed load, end effect factor Fe, sample microstructure influencing factor Fs, and preset center hole factor Fh are the major factors influencing crack growth, among which the amplified end effect factor Fe and sample microstructure influencing factor Fs are dominant factors; under the effect of local load, local load influencing factor Fp, end effect factor Fe, sample microstructure influencing factor Fs, and preset center hole factor Fs are the major factors influencing crack growth, among which the local load influencing factor Fp, end effect factor Fe, and sample microstructure influencing factor Fs are dominant factors. Compared with briquette coal samples, raw coal samples are more sensitive to influencing factors, such as local load influencing factor Fp, end effect factor Fe, sample microstructure influencing factor Fs, and preset center hole factor Fh, and can aggravate the influence of these factors on the crack growth; the paper also puts forward a method for describing local load based on a coupling mechanical model of uniaxial compression and local shear.

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10

Peng, Xiao Jian, and Li Na Zhang. "Employment Expectation: Factor Influencing Graduate Employment." Advanced Materials Research 850-851 (December 2013): 1069–72. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.1069.

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Based on the 2013 session of the graduate survey data of the Economics and Management School of Nanchang University, this paper uses Logistic model to analyze the impact of employment expectation on undergraduate students. Evidence indicates that the employment expectation has a significant negative impact on the employment of university students, the higher the expectation of employment, the less satisfactory employment situation is. And the cognition factor plays a key role for the employment of university students, including the cognition on major, the competence cognition and the cognition on the employment situation.

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11

Pane, Marinela. "Factor Influencing Depersonalization on Prison Employees." European Journal of Social Sciences Education and Research 7, no. 1 (December 1, 2016): 109. http://dx.doi.org/10.26417/ejser.v7i1.p109-117.

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The prison staff is a key factor in the progress of the institution which means that their behaviour directly affects the services it provides. Prisons aim serving the sentence and rehabilitation of prisoners. If the employees of the institution will feel tired, stressed, consume professionally then decrease their effectiveness and performance, which has a direct effect on the life of a prisoner. Professionals dehumanized do not help in achieving the final goal of rehabilitation and teaching positive behaviour of prisoners. This study investigates one of three dimensions of burnout, depersonalization. The aim is to measure the level of depersonalization of the prison staff and to identify the factors influencing it. Quantitative research method was used for data collection and analyse. Cristina Maslach Inventory is completed from 290 participants, aiming to measure the level of depersonalization. The study found out that male professionals, divorced, those who work with the target of the men, and an employee who had a great distance from the place of work were more dehumanized. The quality of relationship with superiors and colleagues affects depersonalization. The less level of communication and cooperation in organization the higher is the level of emotional exhaustion, consequently the level of depersonalization is higher. As conclusion the prevalence of depersonalization is evident in prison staff, but in low levels. Dominant factors influencing depersonalization are the quality of relationship with superiors and colleagues.

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12

Yongseok Ko, Jeong Hyun Rho, and 임현섭. "Factor Analysis Influencing ETCS Purchase Decisions." Journal of Transport Research 24, no. 4 (December 2017): 1–10. http://dx.doi.org/10.34143/jtr.2017.24.4.1.

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13

Abraham, Pierre, Samir Henni, and Yannick Bigou. "Factor influencing cheek oxygen pressure values." Skin Research and Technology 26, no. 4 (January 6, 2020): 610–11. http://dx.doi.org/10.1111/srt.12829.

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14

Geng, Shuyue. "The Influencing Factors on Profitability of Hong Kong Airport." Learning & Education 10, no. 7 (June 7, 2022): 201. http://dx.doi.org/10.18282/l-e.v10i7.3011.

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Hong Kong is an internationally renowned tourist city, so exploring profitability of the airport is also of great significance for effectively developing the economy of Hong Kong. This paper collects relevant influencing factors and profit. To avoid nonlinear correlation and higher independent coefficient, logarithmic and factor analysis are used. So the variables are divided into factor1 includes most variables and factor2 includes aircraft movements for specific purpose. A regression model is established for the two factors. It can be seen from the model that the all variables selected in the paper have a positive impact on airport profitability.

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15

Kang, Min-Goo, Chan-Yong Jung, and Gwang-Man Lee. "Extraction of Primary Factors Influencing Dam Operation Using Factor Analysis." Journal of Korea Water Resources Association 40, no. 10 (October 31, 2007): 769–81. http://dx.doi.org/10.3741/jkwra.2007.40.10.769.

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16

azad, Naser, Somayeh Hozouri, Seyed Foad Zarifi, and Yaser Khodashenas. "A factor analysis to detect factors influencing building national brand." Management Science Letters 3, no. 3 (March 1, 2013): 777–82. http://dx.doi.org/10.5267/j.msl.2013.02.011.

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Burkhard, Lawrence P. "FACTORS INFLUENCING THE DESIGN OF BIOACCUMULATION FACTOR AND BIOTA–SEDIMENT ACCUMULATION FACTOR FIELD STUDIES." Environmental Toxicology and Chemistry 22, no. 2 (2003): 351. http://dx.doi.org/10.1897/1551-5028(2003)022<0351:fitdob>2.0.co;2.

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Burkhard, Lawrence P. "Factors influencing the design of bioaccumulation factor and biota-sediment accumulation factor field studies." Environmental Toxicology and Chemistry 22, no. 2 (February 2003): 351–60. http://dx.doi.org/10.1002/etc.5620220216.

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19

Terano, Rika, Rafidah binti Yahya, Zainalabidin Mohamed, and Sahbani bin Saimin. "Factor Influencing Consumer Choice between Modern and Traditional Retailers in Malaysia." International Journal of Social Science and Humanity 5, no. 6 (2015): 509–13. http://dx.doi.org/10.7763/ijssh.2015.v5.509.

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20

Pazin Fadzil, Aini Hayati, Maat Siti Mistima, and Mahmud Muhammad Sofwan. "Factors influencing teachers’ creative teaching: A systematic review." Cypriot Journal of Educational Sciences 17, no. 1 (January 31, 2022): 250–64. http://dx.doi.org/10.18844/cjes.v17i1.6696.

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Creative teaching is an important skill needed by teachers to carry out the teaching and learning process. Teachers have the most important role in nurturing students’ interest and creative thinking ability by implementing creative teaching. However, there are still insufficient studies that systematically review the existing literature related to what factors could affect teachers’ creative teaching. This highlights the value of this study that is aimed to conduct a systematic literature review on the factors influencing teachers’ creative teaching. This study selected articles using two leading databases, namely Scopus and Web of Science. To ensure that this study was conducted systematically, guidelines by Preferred Reporting Items for Systematic review and Meta-Analyses were used. This study found that three groups of factors influence teachers’ creative teaching, namely demographic factor, individual factor and organisational factor. There are two factors that have the highest frequency and dominant, namely self-efficacy and environment support. Keywords: Creative teaching, demographic factor, individual factor, organisational factors, teachers’, systematic review.

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21

Xia, Li Ming, Kun Lin Song, and Zhi Qiang Deng. "Based on Factor Analysis of Building Influencing Factors System of the Highway Construction Project's Cost." Applied Mechanics and Materials 357-360 (August 2013): 2603–9. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.2603.

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Building of highway construction projects cost influencing factors system is the key to cost controlling. This paper analyses actual division of the projects cost about section two of coastal avenue north and coastal avenue south extension and Nan gang highway, and draws out the cost of primary and secondary influencing factors. Besides, based on factor analysis this paper establishes influencing factors system of highway construction projects cost, and provides reference for cost control.

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22

Inder, Shivani. "Factors Influencing Student Engagement for Online Courses: A Confirmatory Factor Analysis." Contemporary Educational Technology 14, no. 1 (November 26, 2021): ep336. http://dx.doi.org/10.30935/cedtech/11373.

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23

张, 靖悦. "Factors Influencing Information Cocoons Based on Factor Analysis in Group Perspective." Modern Management 11, no. 12 (2021): 1298–310. http://dx.doi.org/10.12677/mm.2021.1112164.

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Zhu, Zhen, and Yunfeng Zheng. "Green Total Factor Energy Efficiency in China and Its Influencing Factors." International Journal of Sustainable Development and Planning 15, no. 5 (August 1, 2020): 781–87. http://dx.doi.org/10.18280/ijsdp.150521.

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DHALIWAL, AMANDEEP. "Factors Influencing the success of Women Entrepreneurs in Factor driven Economies." PRODUCTIVITY 60, no. 1 (June 25, 2019): 20–31. http://dx.doi.org/10.32381/prod.2019.60.01.3.

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Esparza-Gordillo, Jorge, Jos� Manuel Soria, Alfonso Buil, Laura Almasy, John Blangero, Jordi Fontcuberta, and Santiago Rodr�guez de C�rdoba. "Genetic and environmental factors influencing the human factor�H plasma levels." Immunogenetics 56, no. 2 (May 1, 2004): 77–82. http://dx.doi.org/10.1007/s00251-004-0660-7.

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Kim, Yoon Ho, Tae Min Jeong, Kang Mi Pang, and Seung Il Song. "Influencing factor on the prognosis of arthrocentesis." Journal of the Korean Association of Oral and Maxillofacial Surgeons 40, no. 4 (2014): 155. http://dx.doi.org/10.5125/jkaoms.2014.40.4.155.

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28

Meidawati, Neni, Reny Lia Riantika, and Reiga Farah Amalia. "Determinant factor influencing financial performance LQ45 corporation." Jurnal Ekonomi & Keuangan Islam 6, no. 1 (January 1, 2020): 42–54. http://dx.doi.org/10.20885/jeki.vol6.iss1.art5.

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Lee, Mi-Hwa. "Convergence factor Influencing Job Satisfaction of Radiographer." Journal of Digital Convergence 13, no. 8 (August 28, 2015): 357–68. http://dx.doi.org/10.14400/jdc.2015.13.8.357.

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STERZIK, B., and F. J. FEHRENBACH. "Reaction Components Influencing CAMP Factor Induced Lysis." Microbiology 131, no. 4 (April 1, 1985): 817–20. http://dx.doi.org/10.1099/00221287-131-4-817.

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Madandoust, Rahmat, Zeynab Fallah Zarjoo Bazkiyaei, and Mostafa Kazemi. "Factor influencing point load tests on concrete." Asian Journal of Civil Engineering 19, no. 8 (August 28, 2018): 937–47. http://dx.doi.org/10.1007/s42107-018-0074-8.

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Kaneko, Kazunari, Yuichiro Yamashiro, and Momoko Chiba. "Another factor influencing the urinary calcium excretion." Pediatric Nephrology 18, no. 8 (August 1, 2003): 843–44. http://dx.doi.org/10.1007/s00467-003-1188-z.

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33

Singh, Anup Kumar. "Influencing the Superior: A Factor Analytical Study." Vikalpa: The Journal for Decision Makers 23, no. 2 (April 1998): 47–52. http://dx.doi.org/10.1177/0256090919980207.

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Traditionally, managerial effectiveness research has focused on downward influ ence. However, a manager needs to have adequate amount of upward influence to accomplish his objectives. The present study by Singh explores the ways through which middle managers influence their immediate superiors. Data obtained from 110 respondents were subjected to principal components factor analysis. Five factors of influencing the superior were found, namely, information sharing, expertise, manipulation, confrontation, and personalized relationship. The findings are discussed in the light of the superiorsubordinate relationship and in the Indian context. Directions for future research are also suggested.

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Armatas, Christine A., Jeffery J. Summers, and John L. Bradshaw. "Strength as a factor influencing mirror movements." Human Movement Science 15, no. 5 (October 1996): 689–705. http://dx.doi.org/10.1016/0167-9457(96)00019-x.

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КРАСНОПЕРОВ, А., A. KRASNOPEROV, С. Малков, S. Malkov, Наталья Верещак, Natalya Vereshchak, А. ПОРЫВАЕВА, and A. PORYVAEVA. "Enterosorbent for endotoxicosis as a factor influencing the development of young cattle." Agrarian Bulletin of the 190, no. 11 (November 14, 2019): 66–70. http://dx.doi.org/10.32417/article_5dcd861e566fb0.98677225.

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Abstract. Purpose – study the effect of enterosorbent on the immunological parameters of blood and the productivity of young cattle. Methods. The object of the study was newborn calves from 2 to 6 days of age (n = 54). Studies on the enterosorbent based on colloidal silicon dioxide (CSD) for calves with alimentary dyspepsia have been carried out. During the experiment, the clinical condition of the animals, the increase in live body weight were evaluated, blood samples were taken for immunohematological studies. Results. In calves at 2–6 days of age, alimentary dyspepsia is accompanied by the development of endogenous intoxication of the body. Animals show leukocytosis – 16.60 ± 5.11×109/l; leukocyte shift to the left with an increase in the number of adolescent and stab neutrophils – 1.41 ± 0.23×109/l; monocytes up to 1.21 ± 0.13x×109/l; circulating immune complexes (CIC) level in blood serum up to 202.4 ± 8.5 cu Under conditions of endogenous intoxication, the immunological protection of the organism was characterized by an increase in the number of phagocytic cells to 71 % of the total number of granulocytes. Clinical symptoms of endogenous intoxication in 86 % of cases disappeared by the 5th day of the use of enterosorbent CSD in the treatment regimen of calves with alimentary dyspepsia. This is associated with blocking and weakening the inflammatory response in the gastrointestinal tract. The effect of enterosorbent CSD on the immunological parameters was expressed in a balanced stabilization of the processes of phagocytosis and immunogenesis. The trend towards normalization of immunological parameters was registered: the level of the CIC was significantly reduced to 97.5 ± 5.48 cu; the phagocytic activity (PA) of the neutrophilic cells was 50.1 ± 2.4 %. Treatment of animals according to the basic scheme approved by the farm turned out to be less effective. In calves that did not receive enterosorbent CSD, in 11 % of cases, clinical manifestations of endogenous intoxication were recorded up to and including 14 days. In these animals, the level of the CIC remained high – 143.6 ± 8.57 cu, the voltage of phagocytic function was noted – 64.3 ± 7.6 % and the imbalance in the ratio of T/B-lymphocytes – 1.13 (normal 1.5–2.0). The effect of the CSD enterosorbent on the calves productivity was reflected in the fact that the rate of weight gain during the experiment was higher in the experimental group. At 4 months, their weight was 149.17 ± 13.57 kg, while in the control group and the comparison group – 135.00 ± 5.00 and 130.00 ± 22.73 kg, respectively. Scientific novelty. Alimentary dyspepsia causes the development of endogenous intoxication in the body of newborn calves. The lack of therapeutic measures leads to a long recovery period and a decrease in productivity.

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Ishchuk, Olga, and Deeva Tetyana. "DIRECTED MOTIVATION AS A FACTOR INFLUENCING THE EFFICIENCY OF ORGANIZATIONAL STAFF’S ACTIVITIES." Організаційна психологія. Економічна психологія 4, no. 15 (December 29, 2018): 29–35. http://dx.doi.org/10.31108/2.2018.4.15.4.

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37

Thakur, Priyanka, Dipti Y. Sorte, and Sanjenbam Emon Chanu. "Factor Influencing Post Discharge Care of Hospitalized Children at Home Among Parents." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (October 31, 2018): 1438–42. http://dx.doi.org/10.31142/ijtsrd18848.

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Kodrík, J., and M. Kodrík. "Root biomass of beech as a factor influencing the wind tree stability." Journal of Forest Science 48, No. 12 (May 22, 2019): 549–64. http://dx.doi.org/10.17221/11922-jfs.

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Beech is, thanks to its root system, in general considered to be a wind-resistant woody plant species. Nevertheless, the research on beech root systems has revealed that it is not possible to mechanically divide the woody plants into deep rooted and shallow rooted, because their root systems are modified according to various stand conditions. The root system shape, growth and development are mostly influenced by soil conditions and groundwater level. In the case of a high groundwater level beech root systems do not form tap roots and the lateral roots are rather thin and weak. Important factor for the tree static stability is number of roots with diameter 3–10 cm. The most important for the tree stability are roots with diameter over 10 cm. Wood-destroying fungi have strong negative impact on tree static stability. There are differences between beech below-ground biomass growing in soils rich in nutrients and poor in nutrients. The total below-ground biomass of the beech stands poor in nutrients is higher.

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Silwal, Prem Prasad, and Shreya Bajracharya. "Behavioral Factors Influencing Stock Investment Decision of Individuals." International Research Journal of Management Science 6, no. 1 (December 31, 2021): 53–73. http://dx.doi.org/10.3126/irjms.v6i1.42339.

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Purpose: The purpose of this study is to identify the behavioral factors influencing individual investors’ decisions and to analyze the relationship between these factors and investment decision performance. Design/Methodology/Approach: The tested variables were: Anchoring bias, Gambler’s Fallacy, Overconfidence bias, Availability and Representativeness bias from heuristics factor, Mental Accounting, Loss and Regret Aversion from prospect factor, and Market variables and Herding factors. The study employed exploratory and confirmatory factor analysis. In addition, structural equation modeling is applied for the testing of the hypotheses. Findings: Prospect behavioral factor is seen to have negative correlation to investment performance. Herding, Market variables and Heuristic (including overconfidence and anchoring bias) are found to have positive correlation to investment performance. Implications: To cope with intense competition among the competitors in Nepali stock market, this study provides strong evidence herding and heuristic approach that have positive indication to investment performance

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Sedua, Josua Ferdinand, Indrajit Indrajit, and Ika Prayanthi. "The Analysis of Factors Influencing Decisions When Buying Laptop." CogITo Smart Journal 8, no. 1 (June 19, 2022): 47–56. http://dx.doi.org/10.31154/cogito.v8i1.348.47-56.

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This study aims to find out what factors influence students’ interest in buying laptops. This study used a combination of qualitative and quantitative methods and statistical exploratory factor analysis techniques. The qualitative methods were used in identifying the variables studied, while quantitative methods were used in grouping or categorizing these variables into certain factors. This study used 22 variables that were developed from the results of interviews and filling out questionnaires by 200 student respondents. The results of the study found that there were 5 factors that had the greatest contribution in influencing students to buy laptops. These factors were functional factors, social factors, conditional factors, emotional factors, and hobby factors. The factor that had the greatest influence was the functional factor and the smallest was the hobby factor. Furthermore, based on the results of the independent sample t-test, it was found that there was no significant difference between men and women when viewed from the factors that influenced their interest in buying a laptop.

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Babović, J., M. Carić, D. Djordjević, and S. Lazić. "Factors influencing the economics of the pork meat production." Agricultural Economics (Zemědělská ekonomika) 57, No. 4 (May 4, 2011): 203–9. http://dx.doi.org/10.17221/12/2010-agricecon.

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The research of the influence of the relevant factors and their interrelations on the economics of the pork meat production on a farm has been carried out with the help of the method of production functions (factor – product and factor – factor). The influence of the weight of an animal on the daily growth tells us that the growth is increased with the increase of the entry weight to 19 kg and with the exit weight of the fattened animal of 100 kg . The growth is decreased over these weights. The relationship between the daily growth and the feed costs by a feeding day shows us the tendency of the increase of a daily growth with the increase of the feed costs. With the increase of labour inputs to 2.6 hours/100 kg of the live weight and the increased profit to 29 monetary units, first, the daily growth is decreased, and, then, it begins to grow. Labour productivity grows with the increase of the capacity usage to 87%, and, then, it decreases. The influence of the feedlot capacity usage on the productivity measured by the correlation coefficient is 0.756 at the risk level of 1%. With the increase of the feedlot capacity usage, the economics of production is increased and the cost price is decreased. The economics of the production of pork meat is increased with a decreasing rate with the increase of the daily growth. The manifold influence of the examined factors on the economics movement is low (R = –0.355). The partial influence of the costs to the economy is 90.3% that of the direct costs is 80.3%, from which the feed costs have an influence of 51.7%. The influence of the indirect costs on the economics is low, but with their increase, the economics is decreased. It has been noticed that the economics changes can be explained with 66.8% by the change of the relationship of the selling and purchasing price of pigs and the purchasing price of feed concentrate. By the relationship of the price of the fattened animals and the feed concentrate lower than 1 : 5, the economic result is below 1, and above the previously mentioned parity, the economics is increased as well as the economic effects of production.

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Ali, Asghar, Iqbal Ahmad, and M. Anees-ul-Husnain Shah. "Exploring Factors Influencing Employability of Vocational Training Graduates in Pakistan: A Factor Analysis." Global Regional Review II, no. I (December 30, 2017): 389–404. http://dx.doi.org/10.31703/grr.2017(ii-i).28.

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This study was conducted to explore factors influencing the employability of vocational education graduates in Pakistan. Data were collected from 141 teachers. The data were analyzed using factor analysis approach. The principal component analysis method was applied to exploring influencing factors. The following six factors were found influencing the employability of vocational graduates such as education mismatch, market need, relevant experience, job creation, policy and skills training. Based on the findings it is recommended that the vocational training curriculum needs to be updated and students need to be provided practical experiences through field-based learning. There is a need to link the curriculum of the vocational training institutions with industry. There is a need to provide skill-based training rather than theoretical teaching to the students before they enter the job market. Last but not least, demandbased policies need to be made and implemented for promoting skill development of the graduates.

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Ali, Asghar, Iqbal Ahmad, and Anees-ul-Husnain Shah. "Exploring Factors Influencing Employability of Vocational Training Graduates in Pakistan: A Factor Analysis." Global Regional Review II, no. I (December 30, 2017): 431–47. http://dx.doi.org/10.31703/grr.2017(ii-i).31.

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This study was conducted to explore factors influencing the employability of vocational education graduates in Pakistan. Data were collected from 141 teachers. The data were analyzed using factor analysis approach. The principal component analysis method was applied to exploring influencing factors. The following six factors were found influencing the employability of vocational graduates such as education mismatch, market need, relevant experience, job creation, policy and skills training. Based on the findings it is recommended that the vocational training curriculum needs to be updated and students need to be provided practical experiences through field-based learning. There is a need to link the curriculum of the vocational training institutions with industry. There is a need to provide skill-based training rather than theoretical teaching to the students before they enter the job market. Last but not least, demandbased policies need to be made and implemented for promoting skill development of the graduates.

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Istiqa, Safira, Eni Rosnija, and Yanti Sri Rezeki. "FACTORS INFLUENCING STUDENTS' INTEREST IN LEARNING ENGLISH." Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) 11, no. 6 (June 9, 2022): 84. http://dx.doi.org/10.26418/jppk.v11i6.55065.

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AbatractThe purpose of this research is to describe the factors influencing of students' interest in learning English and to describe the dominant factors that influence students' interest in learning English on the tenth grade students of Madrasah Aliyah Negeri 1 Sambas in the academic year 2020/2021. The research method used is descriptive research in the form of quantitative research. This research used 31 questionnaires to collect the data. The research subject for this research are tenth grade students that consist of 40 students at Madrasah Aliyah Negeri 1 Sambas in the academic year 2020/2021. The results of the research shows that the factor influencing students' interest in learning English is the external factor with the amount of percentage 70.262% with rating percentage interpretation criteria is middle. From the list of the recapitulating the percentage of each indicator, the dominant factors that influence students' interest in learning English is school factor with percentage 68.99%. Therefore, from the research there are a number of external factors such as teacher, learning facility, learning method, and also school environment that influencing students' interest in learning English. Keywords : InterestLearning EnglishStudents' Interest

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Wen, Jia, Xiaochong Wei, Haipeng Liu, and Yiyuan Rong. "Fuzzy Cluster Analysis on Influencing Factors of College Student Scores." Revue d'Intelligence Artificielle 34, no. 5 (November 20, 2020): 607–16. http://dx.doi.org/10.18280/ria.340511.

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In the age of the Internet, the learning environment is increasingly diversified. It is of great importance to explore the factors that truly affect the college student scores. Focusing on 13 factors that potentially influence college student scores, this paper carries out a questionnaire survey on students of different grades from different colleges, conducts fuzzy processing of the collected data, randomly selects the processed data for initialization of attribute values. Then, the initialized data were subject to principal component analysis (PCA), fuzzy cluster analysis (FCA), and analysis of variance (ANOVA). Through the analysis, six factors were identified as the key factors affecting college student scores: family factor, Exam factor, exchange factor, learner factor, classmate factor, and campus factor. On this basis, the authors called for the concerted efforts from the school, teachers, and students for improving the teaching quality in colleges.

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Wu, Yi Ping, Guang Zhao Ou, and Zhen Shuai Wang. "Factor Analysis of Liangshuijing Landslide Deformation." Applied Mechanics and Materials 392 (September 2013): 978–83. http://dx.doi.org/10.4028/www.scientific.net/amm.392.978.

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The evolution of landslide displacement is affected by many factors. Therefore, it has great significance to find out the factors which play the main role for the landslide dynamic evolution and inducing mechanism. This paper takes Liangshuijing Landslide as an example, combining with the displacement monitoring data, and selects the rainfall of current month, cumulative rainfall of anterior two months, monthly maximum reservoir water level and the monthly average reservoir water level as influencing factors. According to factor analysis, two main factors and rotated component matrix are extracted. And the main influencing factors for the landslide displacement of every year are found. With the comprehensive analysis of the factor loadings in the four factors, we can get the influencing degree order for Liangshuijing Landslide displacement evolution as follows: cumulative rainfall of anterior two months> rainfall of current month> the average reservoir level of current month>reservoir level fluctuation of current month.

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Franscy and Rezki Puteri Syahrani Nurul Fatimah. "AN ANALYSIS OF FACTORS INFLUENCING LEARNERS’ IN LEARNING LANGUAGE." Dialectical Literature and Educational Journal 4, no. 1 (October 23, 2019): 1–9. http://dx.doi.org/10.51714/dlejpancasakti.v4i1.4.pp.1-9.

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The aim of this research is to describe the factors influencing learners’ in learning language. This research used qualitative approach. Type of the data in this research is qualitative data that consist by collecting library data, reading, recording and processing library collection materials without need field research. This research presents scientific reasoning arguments from the result of literature review and the researcher' thinking about the problems in learning language. The library materials are discussed critically and deeply in support of discussing the factors influencing learners’ in learning language. Research result shows that there are four important factors in education process that have an influence on the process of teaching and learning language, these factors include curriculum factor, institution factor, teacher factor, teaching factor and students factor. From understanding and analysis the theory indicated that in the process of teaching and learning language as effectively category, not only focus on teacher and students factors, but also other factors have relevance and influence with each other, to achieve the learning purpose. Therefore, understanding the role and function of four factors are very important in creating an effectiveness design of learning language for learners. An understanding the creation of effective learning language process is required in order to obtain synergy and perfect preparation of all the important factors above. So, the process learning language in our educational environment will achieve the expected goals.

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Du Plessis, Engelina, and Mellville Saayman. "Factors influencing pricing in the accommodation sector in South Africa." Southern African Journal of Entrepreneurship and Small Business Management 4, no. 1 (December 31, 2011): 24. http://dx.doi.org/10.4102/sajesbm.v4i1.22.

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<p>Price is a significant factor of competitiveness. Price is a complex issue and is determined by a variety of demand and supply factors. These factors also differ from industry to industry. The purpose of this article is to determine the factors that influence pricing in the South African accommodation sector. In order to generate proper data, a survey was conducted at various South African accommodation establishments that were obtained from the databases of the three major associations in the accommodation sector. Two-hundred and forty seven questionnaires completed by managers from accommodation establishments were used in this research. Principal component factor analyses with Varimax rotation in STATISTICA were carried out. These resulted in ten factors, namely environmental qualities, amenities, image, management factor, positioning, quality service factor, infrastructure service factor, location, marketing and product quality factor. The results revealed that the major factors in pricing are service quality, image and product quality. Consequently this article can be used to assist managers in pricing and in obtaining a better competitive position in the industry by revising management structures and marketing campaigns.</p><p><strong>Keywords and phrases:</strong> Tourism industry, price competitiveness, service quality, image, product quality, entrepreneur and factor analysis</p>

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Ma, Lianlong, Dong Huang, Xinyu Jiang, and Xiaozhou Huang. "Analysis of Influencing Factors of Urban Community Function Loss in China under Flood Disaster Based on Social Network Analysis Model." International Journal of Environmental Research and Public Health 19, no. 17 (September 5, 2022): 11094. http://dx.doi.org/10.3390/ijerph191711094.

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The increasing frequency of floods is causing an increasing impact on urban communities. To identify the key influencing factors of functional loss in Chinese urban communities under floods, this paper explored the influencing factors and factor combinations through a social network analysis approach using the 265 cases of urban communities in China affected by floods collected from 2017–2021 as research data. The key influencing factors and factor combinations were identified comprehensively using multiple indicator analyses such as core-periphery structure, node centrality, and factor pairing. The analysis results showed that “road disruption”, “housing inundation”, and “power interruption” are the three most critical factors affecting the functional loss of urban communities in China under floods, followed by “residents trapped”, “enterprises flooded”, and “silt accumulation”. In addition, “road disruption–housing inundation”, “housing inundation–residents trapped”, and “road disruption–residents trapped” are the most common combinations of influencing factors.

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Pusposari, Luthfiya Fathi. "THE ANALYSIS ON FACTORS INFLUENCING THE LEARNING OUTCOME ON MICROECONOMICS USING CONFIRMATORY FACTOR ANALYSIS MODEL." Abjadia 4, no. 2 (December 30, 2019): 68. http://dx.doi.org/10.18860/abj.v4i2.8007.

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The research aims to identify factors influencing the learning outcome on microeconomics theories of social education students of UIN Malang. Theoretically, factors influencing learning outcomes are varied. Therefore, the researcher collaborates some opinions on factors influencing learning outcomes, and the process generates 25 subfactors. The research employs a quantitative descriptive method. The data was collected using questionnaires of the Likert scale and distributed to all research subjects. The researcher employed a confirmatory analysis model to analyze the data. The result showed that there are seven factors influencing learning outcomes on the economy subject: 1). The ability of students and lecturer related to the element on background knowledge, teaching method, course interest, learning manner, lecturer’s explanation; 2). The Learning method about student learning style, learning the habit, and determining intensity; 3). The Students’ initial modal formed by factors such as previous experience, talent, benefit, and intelligence; 4). The variable of sex and age creates the readiness factor; 5). The facility factor formed by the variable of classroom facilities and the financial situation; 6). The moral condition and family support create the psychology factor; 7). The last element is learning drive is formed by the variable of recitation and motivation.

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