scholarly journals Tawakkul: Exemplary Deeds of the Mother And The Sister of Prophet Mūsā

2019 ◽  
Vol 4 (2) ◽  
pp. 5-22
Author(s):  
Che' Amnah Bahari
Keyword(s):  
Strong Relationship ◽  
Correct Method ◽  
The Impact

Tawakkul or reliance on God has a strong relationship with ÊmÉn (faith) in Him. It also refers to taqwÉ or God consciousness.  Al-Qur’Én for that matter has stipulated success depends on one’s complete reliance on Him, steadfast in obeying and fulfilling all the commandments postulated by Him. This would mean that tawakkul requires the essential steps needed to achieve the goals and so the act of striving for the goals is an act of submission while believing and reliant on God is faith in Him. This paper attempts to study Qur’Énic approach to tawakkul in connection with the uncertainties faced by the mother and sister of Prophet Mūsā to protect baby MËsÉ from evil deeds of Firʽaūn. It also discusses the good-natured actions applied by them to overcome their fears. This paper ends by explaining the relevancy of practicing the correct method of tawakkul and the impact on wellbeing of mind.

Marketing China to U.S. travelers through electronic word-of-mouth and destination image: Taking Beijing as an example

2021 ◽  
pp. 135676672098786
Author(s):  
Li Ran ◽  
Luo Zhenpeng ◽  
Anil Bilgihan ◽  
Fevzi Okumus
Keyword(s):  
Quantitative Research ◽  
Behavioral Control ◽  
Strong Relationship ◽  
Tourism Industry ◽  
Destination Image ◽  
Perceived Behavioral Control ◽  
Online Data ◽  
Mediating Role ◽  
Study Results ◽  
The Impact

The tourism industry in China has grown significantly over the last two decades. Most of the growth, however, is fueled by domestic tourism. As one of the biggest tourism markets in the world, U.S. tourists might be reluctant to travel to China due to reasons such as unfamiliarity, cultural differences, visa requirements, and long flights. Building on the Theory of Planned Behavior (TPB) with relevant constructs, this research proposes that building a strong destination image via eWOM may influence the attitude and intention of U.S. travelers to visit Beijing. More specifically, the current research aims to examine the impact of eWOM and destination image on travel intention of tourists. This study used a quantitative research method and online data collection was conducted through Qualtrics. A total of 413 valid responses from U.S. residents were collected. The statistical software SPSS 21.0 and Mplus 7.0 were used to analyze the data. Study results show a strong relationship between eWOM utilitarian function and eWOM credibility, and eWOM credibility has a significant influence on destination image. Although there was no direct impact of destination image on tourists’ future travel intention, destination image plays a mediating role between eWOM credibility and perceived behavioral control (and tourists’ attitudes as well). Finally, perceived behavioral control and tourists’ attitudes mediate the impact of destination image on travel intention.

The Impact of Performance Variables on Industry in K-Economy

2013 ◽  
Vol 64 (2) ◽  
Author(s):  
Muhammad Jawad Iqbal ◽  
Ibn-e- Hassan
Keyword(s):  
Knowledge Economy ◽  
Structural Equation ◽  
Strong Relationship ◽  
Equation Modeling ◽  
Survey Questionnaire ◽  
Performance Variables ◽  
Complementary Resources ◽  
The Impact ◽  
Associated Variables

In the knowledge economy, companies are thought to be the experts who develop innovative product or service as per demand and then market it to generate the revenue. The role of industry in a knowledge economy is to search and to promote inter-organizational collaborations for learning and to search linkages to arrange for complementary resources. These interactions improve the performance of industry in the knowledge economy. This research has been conducted to find out the impact of industry associated variables that significantly influence the performance of knowledge economy. Important attributes have therefore, been identified from the studies conducted in the field of knowledge economy. Influence of identified attributes on industry has been measured using structural equation modeling (SEM) technique. Data has been collected using survey questionnaire. Findings of the study confirm that there exist a strong relationship among the industry and it’s identified variables that collectively influence the performance of industry in the knowledge economy.

scholarly journals The Impact Facebook and Twitter has on the Cognitive Social Capital of University Students

10.28945/2160 ◽  
2015 ◽  
Vol 18 ◽  
pp. 001-030 ◽  
Author(s):  
Chad Petersen ◽  
Kevin A. Johnston
Keyword(s):  
Social Capital ◽  
University Students ◽  
Online Social Network ◽  
Strong Relationship ◽  
Western Cape ◽  
Network Systems ◽  
University Life ◽  
Facebook Usage ◽  
Cognitive Social Capital ◽  
The Impact

The impact that Facebook and Twitter usage has on the creation and maintenance of university student’s cognitive social capital was investigated on students in the Western Cape province of South Africa. Facebook and Twitter were selected as part of the research context because both are popular online social network systems (SNSs), and few studies were found that investigated the impact that both Facebook and Twitter have on the cognitive social capital of South African university students. Data was collected from a survey questionnaire, which was successfully completed by over 100 students from all 5 universities within the Western Cape. The questionnaire was obtained from a previous study, allowing comparisons to be made. Analysis of the results however, did not show a strong relationship between the intensity of Facebook and Twitter usage, and the various forms of social capital. Facebook usage was found to correlate with student’s satisfaction with university life; which suggests that increasing the intensity of Facebook usage for students experiencing low satisfaction with university life might be beneficial.

scholarly journals Impact of Training on Employees' Performance

2020 ◽  
Vol V (III) ◽  
pp. 120-128
Author(s):  
Muhammad Zia-ur-Rehman ◽  
Riaz Hussain Ansari ◽  
Himayat Ali
Keyword(s):  
Strong Correlation ◽  
Employee Performance ◽  
Strong Relationship ◽  
Levels Of Analysis ◽  
Future Research ◽  
Hr Practices ◽  
The Impact ◽  
Positive Effect

The aim of this paper is to examine the impact of training on employee performance. The study investigates the association and offers proposals for additional investigations. There is a need to check the HR Practices and also quantify the effect across employees' performance. Based on the studies conducted by previous researchers, the study shows similar results that training practices and employee performance have a strong correlation. Taking other aspects into account, it can be said in general that the research discoveries are shifted; however, context remains similar. A few studies have discovered a positive affiliation, some negative, and some no affiliation at all. It was found from the result of the study that training has a positive effect on employee performance. This study shows that there is a solid relationship between training and employee performance. Therefore our result matched with the above researcher. The research shows a strong relationship between training and employee performance. The paper concludes with direction for future research by putting in the various levels of analysis on investigating the effect of training on employee performance.

scholarly journals Comments on "Researcher bias: The use of machine learning in software defect prediction"

2015 ◽  
Author(s):  
Chakkrit Tantithamthavorn ◽  
Shane McIntosh ◽  
Ahmed E Hassan ◽  
Kenichi Matsumoto
Keyword(s):  
Prediction Model ◽  
Strong Association ◽  
Model Performance ◽  
Strong Relationship ◽  
Defect Prediction ◽  
Explanatory Variables ◽  
Software Defect ◽  
The Impact ◽  
The Relationship ◽  
Selection Of

Shepperd et al. (2014) find that the reported performance of a defect prediction model shares a strong relationship with the group of researchers who construct the models. In this paper, we perform an alternative investigation of Shepperd et al. (2014)’s data. We observe that (a) researcher group shares a strong association with the dataset and metric families that are used to build a model; (b) the strong association among the explanatory variables introduces a large amount of interference when interpreting the impact of the researcher group on model performance; and (c) after mitigating the interference, we find that the researcher group has a smaller impact than the metric family. These observations lead us to conclude that the relationship between the researcher group and the performance of a defect prediction model may have more to do with the tendency of researchers to reuse experimental components (e.g., datasets and metrics). We recommend that researchers experiment with a broader selection of datasets and metrics to combat potential bias in their results.

scholarly journals Examining the Role of Population Age Structure upon Residential Electricity Demand: A Case from Korea

2019 ◽  
Vol 11 (14) ◽  
pp. 3914 ◽  
Author(s):  
Jaehyeok Kim ◽  
Minwoo Jang ◽  
Donghyun Shin
Keyword(s):  
Age Structure ◽  
Energy Demand ◽  
Population Group ◽  
Strong Relationship ◽  
Electricity Demand ◽  
Advanced Economy ◽  
Population Age Structure ◽  
Long Run ◽  
Residential Electricity ◽  
The Impact

In this article, we empirically investigate the impact of the population age structure on electricity demand. Our study is motivated by suggestions from existing literature that demographic factors can play an important role in energy demand. Using Korean regional level panel data for 2000 to 2016, we estimate the long-run elasticities through employing cointegration regression and the short-run marginal effects by developing a panel error correction model. It is worth investigating the Korean case, since Korea is aging faster than any other advanced economy, and at the same time is one of the heaviest energy users in the world. To our knowledge, this is the first study analyzing how the population age structure affects residential electricity demand, based on regional data in Korea. Our analysis presents the following results. First, an increase in the youth population raises the residential electricity demand in the short- and long-run. Second, an increase in the population of people aged 65 and over also increases this electricity demand in the short- and long-run. Third, among the group of people aged 65 and over, we further investigate the impact of an older population group, aged 80 and over, but separately, on their residential electricity demand. However, in general there is no strong relationship in the short- and long-run.

scholarly journals Aggravation of Human Diseases and Climate Change Nexus

2019 ◽  
Vol 16 (15) ◽  
pp. 2799 ◽  
Author(s):  
Mohd Danish Khan ◽  
Hong Ha Thi Vu ◽  
Quang Tuan Lai ◽  
Ji Whan Ahn
Keyword(s):  
Climate Change ◽  
Infectious Diseases ◽  
Strong Relationship ◽  
Epidemiological Data ◽  
Extreme Weather ◽  
Control Measures ◽  
Extreme Weather Events ◽  
Human Beings ◽  
Impact Of Climate Change ◽  
The Impact

For decades, researchers have debated whether climate change has an adverse impact on diseases, especially infectious diseases. They have identified a strong relationship between climate variables and vector’s growth, mortality rate, reproduction, and spatiotemporal distribution. Epidemiological data further indicates the emergence and re-emergence of infectious diseases post every single extreme weather event. Based on studies conducted mostly between 1990-2018, three aspects that resemble the impact of climate change impact on diseases are: (a) emergence and re-emergence of vector-borne diseases, (b) impact of extreme weather events, and (c) social upliftment with education and adaptation. This review mainly examines and discusses the impact of climate change based on scientific evidences in published literature. Humans are highly vulnerable to diseases and other post-catastrophic effects of extreme events, as evidenced in literature. It is high time that human beings understand the adverse impacts of climate change and take proper and sustainable control measures. There is also the important requirement for allocation of effective technologies, maintenance of healthy lifestyles, and public education.

scholarly journals The Price Impact of Lending Relationships

2015 ◽  
Vol 16 (3) ◽  
pp. 367-389 ◽  
Author(s):  
Ingrid Stein
Keyword(s):  
Strong Relationship ◽  
Price Impact ◽  
Bank Debt ◽  
Relationship Strength ◽  
Borrowing Costs ◽  
Lending Relationships ◽  
Relationship Length ◽  
The Impact ◽  
Over Time

Abstract This study analyzes the impact of bank relationships on a firm’s borrowing costs. We find that a firm’s borrowing costs decrease with relationship strength, proxied by the share of bank debt provided by the lender. Borrowing costs, however, rise with relationship length. While the increase over time is weak on average, bank-dependent borrowers face a substantial premium after several relationship years. Switching the lender initially leads to only a small price discount on average. However, the discount is considerable for borrowers that switch and had a strong relationship with their previous lender. Our results suggest that close lending relationships lead to benefits for the firm, but may also imply hold-up costs in the long term.

scholarly journals Fair Value Accounting and Corporate Reporting in Nigeria: A Logistics Regression Approach

2020 ◽  
Vol 11 (2) ◽  
pp. 301
Author(s):  
A. E. Adegboyegun ◽  
E. Ben-Caleb ◽  
A. O. Ademola ◽  
J. U. Madugba ◽  
D. F. Eluyela
Keyword(s):  
Strong Relationship ◽  
Fair Value ◽  
Cash Flows ◽  
Primary Data ◽  
Fair Value Accounting ◽  
Corporate Reporting ◽  
Regression Approach ◽  
The Impact ◽  
Future Cash Flows ◽  
Structured Questionnaire

This study examined the impact of fair value accounting on corporate reporting in Nigeria. The primary data used were gathered through a well-structured questionnaire, designed and administered to 120 respondents, who are made up of accountants, auditors, bankers, financial experts and practitioners in Lagos State, Nigeria. We adopted the logistic regression approach in analyzing the research questions. We found that fair value accounting has impact on corporate reporting. The Cox and Snell’s R-Square revealed that 67.1% of the variation in the corporate reporting was explained by the logistic model. We further found a moderate strong relationship between the fair value accounting and corporate reporting. Based on this finding, the study concluded that the used of fair value helped in predicting the earnings and assessment of the amounts, timing and uncertainty of future cash flows in corporate reporting which dependent on its reliability. However, institutional factors played an essential role in enhancing the reliability of discretionary fair value estimates which in return increased the informativeness of accounting information in corporate reporting.

The Influence Of Facebook Marketing On Consumer Buying Intention Of Clothing: Evidence From Young Adults

2020 ◽  
Vol 8 (9) ◽  
pp. 37-51
Author(s):  
D. T. Kingsley Bernard ◽  
A. A. S. N. Munasinghe ◽  
I. K. R. J. Premarathne ◽  
S. Wijayarathne
Keyword(s):  
Social Media ◽  
Young Adults ◽  
Purchase Intention ◽  
Strong Relationship ◽  
Important Variable ◽  
Consumer Purchase Intention ◽  
Social Media Platforms ◽  
Comprehensive Survey ◽  
The Impact ◽  
Facebook Marketing

As a result of the rapid improvements paved through global advertising pathways, marketers have started to promote their products through social media platforms and among that; Facebook had become the most popular mode of communicating out of all. The study was conducted with the objective of comprehensively investigating the influence of Facebook marketing on consumer buying intention of clothing using evidence of young adults. Predominantly, the research focused upon identifying the superiority of Facebook as a social media communication platform and its relevant impact upon advertising. Majority of the businesses aims toward increasing the  reach, whereas Facebook users expect clear experience through Facebook rather than watching typical pop ups, web banners and adds. However,         Facebook marketing was identified to be positively and negatively influencing the companies and users. Therefore, focus was to analyze the impact to consumer’s buying intention from Facebook marketing. The companies can identify the effectiveness of the advertising and the improvement to be done. The study has undertaken a comprehensive survey to achieve the objectives of the research and those data was analyzed through component factor analysis, regression analysis and correlation coefficient. As per the results of the analysis, researchers have accomplished the stated objectives of the study. In conclusion, it was identified that there was a strong relationship between independent and dependent variables except E-WOM. Among that, Likes and sharing are the most important variables in Facebook marketing. According to outcomes, E- WOM was not an important variable, nonetheless researchers recommend focusing on E-WOM in order to convert this variable in to positive way to make better results, as previous researches stated that E-WOM can make massive impact to consumer purchase intention.  

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