Obstacles as Building Blocks

2021 ◽  
Vol 10 (4) ◽  
pp. 1-11
Author(s):  
Diego Mendez-Carbajo ◽  
Franklin G. Mixon
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Cognitive Psychology ◽  
Building Blocks ◽  
The Other ◽  
Good Work ◽  
Exam Performance ◽  
Student Effort ◽  
Student Demographics ◽  
The Impact

Although individuals generally do not wish to be expected to do good work with bad tools, there are some activities for which there are advantages to having to face certain types of obstacles. One of these is mental processing, an important facet of cognitive psychology. This study extends the work of cognitive psychologists by introducing font disfluency, or the use of difficult-to-read font or typeface, to the exam-taking phase of economics principles courses. Difference-in-means tests indicate that students completing exams that were formatted in the difficult-to-read font scored as many as 9.6 points higher than their counterparts who completed exams formatted in the traditional font. On the other hand, regression analysis controlling for student demographics and human capital failed to produce a statistically significant result. The authors believe, however, that this result is likely due to the omission of student effort in the regression specification. As such, further research on the impact of font disfluency on exam performance is clearly warranted.

scholarly journals The Impact of Human Capital on Stocks Performance in Emerging Markets: Evidence From Egypt

2020 ◽  
Vol 10 (1) ◽  
pp. 73
Author(s):  
Walid Abouzeid ◽  
Sharihan Mohamed Aly
Keyword(s):  
Human Capital ◽  
Emerging Markets ◽  
Banking Sector ◽  
The Other ◽  
Common Stock ◽  
General Tendency ◽  
Other Hand ◽  
The Common ◽  
The Impact ◽  
Statistical Results

This study attempts to investigate the impact of human capital on the common stock's return. The population of the study is Egyptian companies listed at the Egyptian exchange (EGX) due to 2014-2018. The statistical results indicate that there is a general tendency to change common stock's hold return to the corporation's human capital, and it is significant at 0.01 levels. In other terms, it can be stated that the corporation's human capital has a significant impact on common stock's hold return in the Egyptian corporation, and according to Adjusted R-squared the corporation's human capital explain a 57.8% from the change common stock's hold return.so; led to the impact of human capital on creating value of common stock. This can be traced back to investing in "the development and researches" on the other hand besides training, therefore medicine and technology companies get affected through these fields of development researches areas; however companies in industrial and banking sector get impacted by training field.

THE IMPACT OF TERRORISM ON TURKISH BANKS’ STOCKS AND CROSS-BANK VARIATION OF ABNORMAL RETURNS

2020 ◽  
Vol 20 (02) ◽  
pp. 2050011
Author(s):  
EDA ORHUN
Keyword(s):  
Regression Analysis ◽  
Event Study ◽  
Banking Sector ◽  
Terrorist Attack ◽  
Abnormal Returns ◽  
Income Level ◽  
The Other ◽  
Terrorist Attacks ◽  
Study Analysis ◽  
The Impact

This paper investigates the impact of the recent terrorist attacks on the Turkish banking sector. Specifically, an event study analysis is executed to estimate the abnormal returns of banks’ stocks in Turkey. According to the results, negative and significant abnormal returns were observed on the event dates of terrorist attacks, those of which especially occurred at international points and touristic places. The study continues with a regression analysis that looks into the cross-bank variation of abnormal returns by using important bank characteristics as predictors. The regression analysis exhibits that banks with higher leverage and larger size are prone to getting more negatively affected by the terrorist attack. On the other hand, banks with higher liquidity and higher income level are likely to have less negative abnormal returns.

scholarly journals Assessing the Impact of Relationship Length in the SMEs and Bank Association

2017 ◽  
Vol 9 (5) ◽  
pp. 17 ◽  
Author(s):  
Mark Ojeme
Keyword(s):  
Regression Analysis ◽  
Principal Component ◽  
Building Blocks ◽  
Relationship Building ◽  
Internal Reliability ◽  
Relationship Length ◽  
Relationship Context ◽  
Short And Long Term ◽  
The Impact

Despite the importance of satisfaction, loyalty and relationship length in the literature, there is very little evidence of studies within the Nigerian Business to Business (B2B) Relationship terrain. This paper seeks to investigate the effect of relationship length on SMEs association with their banks in Nigeria. Measurement Items were adapted from various scale sets presented in existing studies were combined to investigate the B2B relationship context. Data were collected from 221 SMEs via a self-administered questionnaire completed either by the SME owner or senior manager with responsibility for relationship with their bank, providing 199 usable records. Principal Component Exploratory Analysis (PCA) was used to determine the underlying data structure, with subsequent deployment of Cronbach’s alpha as a post-hoc assessment of the internal reliability of the retained factors. Subsequently, regression analysis was employed to determine the impact of satisfaction on loyalty in a short and long term relationship contexts. The analysis presented suggests that the SMEs’ had evidence of been satisfied with their bank, however, the regression analysis for both short and long term relationship length were both significant in impacting their loyalty towards their bank. The originality of this paper lies in the investigation of a B2B relationship involving SMEs and banks within a relationship context that hitherto was unknown and the validation of relevant relationship building blocks. 

Regional Competitiveness

2022 ◽  
pp. 150-170
Author(s):  
Miloš S. Krstić ◽  
Vladimir Radivojević
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Data Analysis ◽  
Comparative Analysis ◽  
Trade Openness ◽  
Statistical Processing ◽  
European Countries ◽  
Regional Competitiveness ◽  
Correlation And Regression Analysis ◽  
The Impact

The aim of the chapter was to model the impact of selected determinants (trade openness, human capital, entrepreneurship, and innovation) on regional competitiveness, as well as to propose future activities and measures required to be implemented to improve the competitive performance of the regions. The research was conducted on the sample of 18 regions in six European countries: Serbia, Croatia, Slovenia, Northern Macedonia, Montenegro, and Romania. The database was prepared, and the statistical processing was performed in SPSS. In this data analysis, the following methods were used: comparative analysis, correlation, and regression analysis. The results of the research showed that the impact of the determinants—import dependence, the number of pupils enrolled in secondary education, gross domestic expenditure on research and development, and the number of companies per 10,000 inhabitants on the competitiveness of the region—are (statistically) significant.

Bicycle Sharing and Public Transit

2015 ◽  
Vol 2534 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Ting Ma ◽  
Chao Liu ◽  
Sevgi Erdoğan
Keyword(s):  
Regression Analysis ◽  
Public Transit ◽  
Policy Implications ◽  
The Other ◽  
Quantitative Studies ◽  
Other Hand ◽  
Transit Ridership ◽  
The World ◽  
The Impact

Bicycle-sharing programs have emerged around the world. Theoretically, the effect of bicycle sharing on more conventional transit modes can take a substitute or complementary form. On one hand, bicycle sharing could substitute for conventional transit as a convenient and sustainable travel option. On the other hand, bicycle sharing may complement such transit by seamlessly connecting transit stations with origins and destinations and thus increase accessibility. However, the questions of how and to what extent bicycle-sharing programs affect public transit ridership remain to be answered, despite the attempts of a few empirical and quantitative studies. This study examined the impact of the Capital Bikeshare (CaBi) program on Metrorail's ridership in Washington, D.C. When CaBi trips were mapped, it was observed that Metrorail stations had been important origins and destinations for CaBi trips. Six of seven CaBi stations producing more than 500 trips were located close to Metrorail stations. This study conducted a regression analysis and found that public transit rider-ship was positively associated with CaBi ridership at the station level. A 10% increase in annual CaBi ridership contributed to a 2.8% increase in average daily Metrorail ridership. On the basis of these results, policy implications and recommendations are discussed.

scholarly journals AN ANALYSIS OF COMPETITIVE CAPABILITIES AND ACCOMMODATION PERFORMANCE FOR SMALL AND MEDIUMSIZED ACCOMMODATIONS (SMSAs) IN EAST-COAST OF MALAYSIA DURING THE COVID-19 PANDEMIC

2021 ◽  
Author(s):  
Siti Nur ‘Atikah Zulkiffli ◽  
◽  
Siti Falindah Padlee ◽  
Nur Farah Zafira Zaidi ◽  
Noor Zatul Iffah Hussin ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Human Resource ◽  
Hospitality Industry ◽  
East Coast ◽  
The Other ◽  
Business Climate ◽  
Competitive Capabilities ◽  
Two Factors ◽  
Hospitality Firms ◽  
The Impact

The COVID -19 pandemic has posed an unprecedented threat to the hospitality industry. Numerous hospitality firms have been impacted by strategies used to flatten the COVID-19 curve. Hospitality firms are required to significantly alter their operations in the COVID-19 business climate in order to secure industry survival and to mitigate the impact of the pandemic. As a result, this study focuses on small and medium-sized accommodations (SMSAs) on Malaysia’s East Coast, which are particularly hard hit by the pandemic. The study of SMSAs on Malaysia’s East Coast discovered that marketing and human resource management contribute significantly to accommodation performance, while the other two factors have a negligible effect on accommodation performance during this pandemic, as determined by multiple regression analysis.

scholarly journals Ethical Attitudes toward COVID-19 Passports: Evidences from Spain

2021 ◽  
Vol 18 (24) ◽  
pp. 13098
Author(s):  
Mario Arias-Oliva ◽  
Jorge Pelegrín-Borondo ◽  
Ala Ali Almahameed ◽  
Jorge de Andrés-Sánchez
Keyword(s):  
Regression Analysis ◽  
Smart City ◽  
Positive Attitude ◽  
The Other ◽  
Sufficient Condition ◽  
Ethical Judgments ◽  
Multidimensional Ethics Scale ◽  
User Attitudes ◽  
The Impact ◽  
Positive Evaluation

A so-called COVID-19 passport or Immunity passport (IP) has been proposed to facilitate the mobility of individuals while the SARS-CoV-2 pandemic persists. A COVID-19 passport can play a key role in the control of the pandemic, specifically in areas with a high density of population, and the help of smart city technology could be very useful to successfully implement IPs. This research studies the impact of ethical judgments on user attitudes toward using vaccine passports based on a Multidimensional Ethics Scale (MES) that contains five ethical constructs: moral equity, relativism, egoism, utilitarianism, and contractualism. Regression analysis shows that MES satisfactorily explains attitude (R2 = 87.82%, p < 0.001) and that a positive evaluation in moral equity, egoism and utilitarianism is significant (p < 0.001). The objective of the passport (variable leisure) shows a significant negative moderating effect on moral equity (coefficient = −0.147, p = 0.0302) and a positive one on relativism (coefficient = 0.158, p = 0.0287). Adjustment by means of fsQCA shows that five ethical constructs satisfactorily explain both favorable and unfavorable attitudes toward IPs. Solutions explaining acceptance attain an overall consistency (cons) = 0.871 and coverage (cov) = 0.980. In the case of resistance, we found that cons = 0.979 and cov = 0.775. However, that influence is asymmetrical. To have a positive attitude toward the passport, it is a sufficient condition to attain a positive evaluation on a single ethical factor. On the other hand, when explaining resistance, and with the exception of the recipe ~utilitarianism (cons = 0.911 and cov = 0.859), explanatory prime implications require the interaction of at least two variables. Likewise, the context in which the passport is required is significant to explain rejection.

scholarly journals Academic Dishonesty: Methods and the Influence of Psychological Gender

2019 ◽  
Vol 8 (2S9) ◽  
pp. 578-584
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Academic Dishonesty ◽  
The Other ◽  
Primary Data ◽  
Cheating Behavior ◽  
Assignment Completion ◽  
Other Hand ◽  
Psychological Gender ◽  
The Impact

The research seeks to investigate students rating of various forms of academic dishonesty and also examined the impact of psychological gender on cheating behavior among undergraduates in a Malaysian university. Primary data were sourced through the distribution of 363 questionnaires. Statistical analysis of the data revealed that the following cheating techniques have widely used them a. Using published materials without reference, copying the assignments, using unfair means for presenting data, getting unauthorized help for assignment completion and presenting others work. On the other hand, regression analysis on the psychological gender revealed that the instrumental traits tend to influence male to engage in academic dishonesty.

scholarly journals How Valuable is Experience? Examining the Impact of Founder Experience on Nonprofit Start-Up Success

2020 ◽  
Vol 6 (2) ◽  
pp. 233
Author(s):  
Fredrik O. Andersson
Keyword(s):  
Human Capital ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Nonprofit Management ◽  
Previous Experience ◽  
Start Up ◽  
Management Experience ◽  
The Impact

Nonprofit entrepreneurs face a number of liabilities that are particularly significant during the emergent phase of a new nonprofit. Using a human capital perspective, this study examines the influence previous experience plays as it relates to nonprofit organizational start-up success. The study draws on a sample of 118 nascent nonprofit entrepreneurs. The results from a logistic regression analysis show no significant impact with regard to education or prior nonprofit management experience. The results, however, show that prior start-up experience significantly enhances the likelihood of start-up success.

Infrastructure, Education, and Economic Development in India

2017 ◽  
pp. 1-13
Author(s):  
Sebak K. Jana ◽  
Asim K. Karmakar
Keyword(s):  
Human Capital ◽  
Economic Development ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Infrastructure Development ◽  
Physical Infrastructure ◽  
Level Of Economic Development ◽  
Per Capita ◽  
The Impact ◽  
Huge Variation

A large number of studies reveal that regions with larger stocks of physical infrastructure and human capital often are associated higher level of economic development. The present chapter attempts to find whether this is valid for India. Factor Analysis has been used to find the index of scores of infrastructure of the selected 20 major states of India. We have then used regression analysis to find the impact of infrastructure and education on economic development of the states. The results indicate that there is huge variation of infrastructure development across the states in India. The findings also indicate the significant impact of infrastructure development and education on economic development of the state, measured in terms of Per Capita Net State Domestic Product (PCNSDP).

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