University students’ entrepreneurial tendency in China

2016 ◽  
Vol 8 (1) ◽  
pp. 60-81 ◽  
Author(s):  
Xiaofang Yao ◽  
Xiyue Wu ◽  
Dan Long
Keyword(s):  
Linear Regression ◽  
University Students ◽  
Multiple Linear Regression ◽  
Economic Transition ◽  
Statistical Significance ◽  
Developed Countries ◽  
Good Reliability ◽  
Content Type ◽  
Entrepreneurial Attitude ◽  
The Impact

Purpose – This paper aims to explore the impact mechanism of Chinese university students’ perceived entrepreneurial environment on their entrepreneurial tendency in the context of Chinese economic transition. In particular, the paper provides a reference for relevant departments to make policies and entrepreneurship educators to perfect the pedagogical design and curriculum development in entrepreneurship education programs. Design/methodology/approach – The authors used questionnaires to collect data in Chinese universities via random sampling, and gained 729 valid questionnaires. Results from principal component analysis indicate that the scales have a good reliability. In particular, entrepreneurial attitude had three components. The hypotheses are tested by using Spearman correlation and multiple linear regression; the level of statistical significance of F-test was less than 0.05. Hence, multiple linear regression can be used in the analyses. Findings – The study found that university students’ perceived social environment and economic environment have a positive influence on their entrepreneurial tendency, and entrepreneurial attitude is partially playing a mediating role between students’ perceived entrepreneurial environment and entrepreneurial tendency. However, students’ perceived policy environment has no significant impact on entrepreneurial tendency. Originality/value – Environmental factors are often viewed as“gap fillers” in related studies, and mostly concentrated in the Western developed countries. This study attempts to fill the gaps in the context of Chinese economic transition.

Complex network analysis for international talent mobility based on bibliometrics

2019 ◽  
Vol 11 (3) ◽  
pp. 419-435
Author(s):  
Yinqiu Wang ◽  
Hui Luo ◽  
Yunyan` Shi
Keyword(s):  
Developing Countries ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Complex Network ◽  
Design Methodology ◽  
Developed Countries ◽  
Bibliometric Data ◽  
Content Type ◽  
Negative Factor ◽  
The World

Purpose This paper aims to explore international talent mobility and identify its negative/positive factors. Design/methodology/approach Bibliometric data from Scopus are explicated to model the mobility network and providing a more comprehensive posture. In addition, by using indicators of complex network, significant features of international talent mobility are described quantitatively. After that, by introducing a kind of improved gravity model with multiple linear regression, the authors identify factors to explain international talent mobility flows. Findings With the analysis of international talent mobility in complex network, the overall network is not balanced. A small part of developed countries and developing countries with good emergency attract and drain a lot of talents and talents usually moving between these countries, the amount of talents leaving or entering into other countries is very limited. Furthermore, according to multiple linear regression, it is found that the share of migrants in population is the major negative factor for international talent mobility, and the factors of destination countries is more significant than original countries. Originality/value The result of this paper may support further research studies and political suggestions for cultivating, attracting and retaining scientific and technological talents in the world.

scholarly journals Does innovation make a difference?

2018 ◽  
Vol 15 (2) ◽  
pp. 137-154 ◽  
Author(s):  
Renata Vasconcelos ◽  
Marcos Oliveria
Keyword(s):  
Firm Performance ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Metropolitan Area ◽  
Design Methodology ◽  
Small Enterprises ◽  
Content Type ◽  
Micro And Small Enterprises ◽  
The Impact ◽  
The Relationship

Purpose This paper aims to identify and measure the impact of the types of innovation on micro and small enterprises’ performance in the foodservice industry. Design/methodology/approach A sample of 55 micro and small enterprises located in the Recife Metropolitan Area in Pernambuco were considered for the purpose of the analysis. All the firms were registered in the Agente Local de Inovação (ALI) program during the period of 2015 and 2016. The innovations developed by the firms were identified and measured using the sectorial innovation index, and the firm’s performance was calculated by the annual revenue. The impact of the innovations on performance was measured using multiple linear regression and quantile regression. Findings The regressions’ findings suggest that two innovation dimensions stand out concerning firm performance, that is, brand and customer experience are thought as to contribute to firm performance significantly. However, it has also been found that the contribution of the innovations may vary in the level of firm performance. Originality/value The paper was distinguished by analyzing the relationship between innovation and firm performance in the context of micro and small enterprises. The research also allowed knowing the innovations that can contribute to the micro and small enterprises’ performance, allowing such organizations to identify and develop the innovations seen as necessary for their competitiveness.

PENGARUH KUALITAS PELAYANAN DAN KEPERCAYAAN TERHADAP LOYALITAS NASABAH PT BANK MANDIRI,Tbk CABANG JAKARTA KELAPA GADING BARAT

2015 ◽  
Vol 3 (3) ◽  
Author(s):  
Imam Wibowo ◽  
Santi Putri Ananda
Keyword(s):  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Analysis Tool ◽  
Positive Contribution ◽  
Homogeneous Population ◽  
Independent Variables ◽  
Research Population ◽  
The Impact

Purpose-To study the impact of the service quality and trust on customers loyalty of PT.Bank Mandiri,Tbk; Kelapa Gading Barat Branch. To improve the customers loyalty there are several factors that can influence them, such as service quality and trust. Methodology/approach-The research population was all customers PT.Bank Mandiri,Tbk;Kelapa Gading Barat Branch.According to the homogeneous population and based on the Gay and Diehl Theory, the samples taken were 50 people. Variables in this investigations consisted of: a).Independent Variables (exogenous): Service Quality (X1) and Trust (X2). b).The dependent variable (endogenous) Customers Loyalty (Y). Analysis tool being used is multiple linear regression which previously conducted validity and realiability. Findings-The result of investigations that service quality and trust simultaneously have a very strong contribution of 75,5% to the customers loyalty, and partially showed that service quality has significant and positive contribution to the customers loyalty of 64,8%. Partially, the trust variable has significant and positive contribution which amounted to 55,9% to the customers loyalty.

Análise da relação entre O3, NO e NO2 usando técnicas de regressão linear múltipla.

GEOgraphia ◽  
2018 ◽  
Vol 20 (43) ◽  
pp. 124
Author(s):  
Amaury De Souza ◽  
Priscilla V Ikefuti ◽  
Ana Paula Garcia ◽  
Debora A.S Santos ◽  
Soetania Oliveira
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Nitrogen Dioxide ◽  
Multiple Linear Regression ◽  
Quality Parameters ◽  
Environmental Pollutant ◽  
Environmental Research ◽  
Linear Regression Models ◽  
Mato Grosso ◽  
The Impact

Análise e previsão de parâmetros de qualidade do ar são tópicos importantes da pesquisa atmosférica e ambiental atual, devido ao impacto causado pela poluição do ar na saúde humana. Este estudo examina a transformação do dióxido de nitrogênio (NO2) em ozônio (O3) no ambiente urbano, usando o diagrama de séries temporais. Foram utilizados dados de concentração de poluentes ambientais e variáveis meteorológicas para prever a concentração de O3 na atmosfera. Foi testado o emprego de modelos de regressão linear múltipla como ferramenta para a predição da concentração de O3. Os resultados indicam que o valor da temperatura e a presença de NO2 influenciam na concentração de O3 em Campo Grande, capital do Estado do Mato Grosso do Sul. Palavras-chave: Ozônio. Dióxido de nitrogênio. Séries cronológicas. Regressões. ANALYSIS OF THE RELATIONSHIP BETWEEN O3, NO AND NO2 USING MULTIPLE LINEAR REGRESSION TECHNIQUES.Abstract: Analysis and prediction of air quality parameters are important topics of current atmospheric and environmental research due to the impact caused by air pollution on human health. This study examines the transformation of nitrogen dioxide (NO2) into ozone (O3) in the urban environment, using the time series diagram. Environmental pollutant concentration and meteorological variables were used to predict the O3 concentration in the atmosphere. The use of multiple linear regression models was tested as a tool to predict O3 concentration. The results indicate that the temperature value and the presence of NO2 influence the O3 concentration in Campo Grande, capital of the State of Mato Grosso do Sul.Keywords: Ozone. Nitrogen dioxide. Time series. Regressions. ANÁLISIS DE LA RELACIÓN ENTRE O3, NO Y NO2 UTILIZANDO MÚLTIPLES TÉCNICAS DE REGRESIÓN LINEAL.Resumen: Análisis y previsión de los parámetros de calidad del aire son temas importantes de la actual investigación de la atmósfera y el medio ambiente, debido al impacto de la contaminación atmosférica sobre la salud humana. Este estudio examina la transformación del dióxido de nitrógeno (NO2) en ozono (O3) en el entorno urbano, utilizando el diagrama de series de tiempo. Las concentraciones de los contaminantes ambientales de datos y variables climáticas fueron utilizadas para predecir la concentración de O3 en la atmósfera. El uso de múltiples modelos de regresión lineal como herramienta para predecir la concentración de O3 se puso a prueba. Los resultados indican que el valor de la temperatura y la presencia de NO2 influyen en la concentración de O3 en Campo Grande, capital del Estado de Mato Grosso do Sul.Palabras clave: Ozono. Dióxido de nitrógeno. Series de tiempo. Regresiones.

scholarly journals A139 IMPROVED QUALITY OF LIFE AFTER ENDOSCOPIC THERAPY FOR BARRETT’S ESOPHAGUS AND EARLY ESOPHAGEAL CANCER IN SOUTHERN ALBERTA

2021 ◽  
Vol 4 (Supplement_1) ◽  
pp. 125-126
Author(s):  
T Jeyalingam ◽  
M Woo ◽  
S E Congly ◽  
J David ◽  
P J Belletrutti ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Endoscopic Therapy ◽  
Negative Impact ◽  
Older Age ◽  
The Impact

Abstract Background In patients with Barrett’s esophagus (BE), endoscopic therapy reduces the risk of progression to invasive esophageal adenocarcinoma (EAC). Data on the impact of endoscopic therapy on patient quality of life (QoL) is limited. Aims We aimed to assess: (1) change in QoL during the course of endoscopic therapy for BE, (2) factors which predict this change, (3) whether achieving complete remission of dysplasia (CRD) or intestinal metaplasia (CRIM) affect the degree of change. Methods We conducted a retrospective observational study using a prospectively maintained database of BE patients treated in Calgary, Alberta from 2013–2020 containing data on demographics, BE disease characteristics and therapeutics, QoL, and follow-up. QoL was determined prior to initiation of therapy and after each treatment session using a validated questionnaire. Descriptive statistics were calculated and change in QoL was compared using a Wilcoxon signed ranks test. Backwards multiple linear regression analysis was performed to determine predictors of change in QoL. Results Of 130 BE patients, 112 (86.1%) were male and 104 (80%) had dysplastic histology or intramucosal carcinoma on index endoscopy. Mean (SD) age was 65.6 (12.0) years. At time of analysis, 76 patients (58.5%) had completed endoscopic therapy, of whom 69 (90.8%) achieved CRIM; 54 patients (41.5%) were still undergoing treatment. There was significant improvement in all QoL measures during the treatment course except for “depression” (Table 1). Patients with CRIM or CRD had reductions in “sleep difficulty” and “negative impact on life” to a significantly greater degree vs patients not achieving CRIM (Δ sleep -0.45 vs 0.0, P=0.002; Δ negative impact -0.4 vs -0.05, P=0.014) or CRD (Δ sleep -0.40 vs +0.60, P=0.002; Δ negative impact -0.40 vs +0.20, P=0.04). Multiple linear regression revealed older age (B=-0.03, P=0.008) and fewer number of EMR sessions (B=0.254, P=0.008) were correlated with greater improvement in QoL. Conclusions Endoscopic therapy improves QoL in BE patients, especially in those achieving CRIM/CRD. Older age and fewer EMRs are correlated with greater improvement in QoL. These results further reinforce the role of endoscopic therapy as the first line treatment of BE and early EAC. Funding Agencies None

Impact of conspiracy beliefs on Covid-19 fear and health protective behavior: a case of university students

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Asif Naveed ◽  
Amara Malik ◽  
Khalid Mahmood
Keyword(s):  
Public Health ◽  
Health Education ◽  
University Students ◽  
Private Sector ◽  
Protective Behavior ◽  
Cross Sectional Survey ◽  
Content Type ◽  
Conspiracy Beliefs ◽  
The Impact ◽  
Health Education And Promotion

PurposeThis study investigated the impact of conspiracy beliefs on fear of Covid-19 and health protective behavior of university students in Pakistan.Design/methodology/approachA cross-sectional survey using an online questionnaire was conducted at three universities in Punjab (e.g. two public sectors and one private sector) with permission from concerned authorities for data collection. A total of 374 responses were received that were analyzed by applying both descriptive and inferential statistics.FindingsThe results indicated the prevalence of conspiracy beliefs and fear of Covid-19 among university students of two public sector universities and one private sector university. Furthermore, the conspiracy beliefs of university students predicted their fear of Covid-19. However, conspiracy beliefs did not predict the health protective behavior of university students.Research limitations/implicationsThese results had serious implications for public health in Pakistan demonstrating the critical need for health education and promotion as individual preparedness along with system preparedness is essential to combat Covid-19 pandemic and infodemic. These results are useful for policymakers, healthcare professionals, university administration and library staff for making evidence-based decisions toward health education and promotion related to the Covid-19 pandemic.Originality/valueIt is hoped that the present study would make an invaluable contribution to existing research on promotional health in general and the role of conspiracy beliefs in putting public health at risk in particular as limited studies have been published so far.

Does investment in innovation impact firm performance in emerging economies? An empirical investigation of the Indian food and agricultural manufacturing industry

2021 ◽  
Vol 13 (2) ◽  
pp. 233-248
Author(s):  
Manogna R.L. ◽  
Aswini Kumar Mishra
Keyword(s):  
Firm Performance ◽  
Manufacturing Industry ◽  
Emerging Market ◽  
Developed Countries ◽  
Emerging Economy ◽  
Content Type ◽  
Agricultural Industry ◽  
Indian Food ◽  
The Impact ◽  
The Relationship

Purpose The study aims to analyze the impact of Research & Development (R&D) intensity on the firm’s performance, measured by growth of sales in the emerging market like India. Innovation strategy and its outcomes for firms may be different in developing countries as compared to developed countries. Thus, a study that focuses on the emerging economy like India, with a majority of the population dependent on agriculture, is of prime importance to the firm performance in the food and agricultural manufacturing industry. For this study, the broader focus will be on one widely recognised factor which may influence the growth rate of firms, i.e. investment in innovations which is in terms of R&D expenditure. Design/methodology/approach The paper investigates the relationship between the R&D efforts and growth of firms in the Indian food and agricultural manufacturing industry during 2001–2019. To empirically test the relationship between firm’s growth (FG) and R&D investments, system generalised method of moments technique has been used, hence enabling to avoid problems related to endogeneity and simultaneity. Findings The findings reveal that investments in innovations have a positive effect on the growth of firms in the Indian food and agricultural manufacturing industry. Investment in R&D also enables the firms to reap benefits from externalities present in the industry. Further analysis reveals that younger firms grow faster when they invest in R&D. More specifically, this paper finds evidence in the case of the food and agricultural industry that import of raw materials negatively affects the FG and export intensity positively affects the growth in the case of R&D firms. Research limitations/implications This study suggests that the government should encourage the industries to invest optimally in R&D projects by providing favourable fiscal treatments and R&D subsidies which are observed to have positive effects in various developed countries. Originality/value To the best of the author’s knowledge, the current paper is the first to analyse the impact of innovation in food and agricultural industry on firm’s performance in an emerging economy context with the latest data. This paper agrees that a government initiative to increase private R&D expenditure would have favourable effects on FG as growing investments in R&D lead to further growth of the firms.

Impact of COVID-19 pandemic on community lifelines

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Naeem Abas ◽  
Esmat Kalair ◽  
Saad Dilshad ◽  
Nasrullah Khan
Keyword(s):  
Natural Disasters ◽  
Health Sector ◽  
Ghg Emissions ◽  
Developed Countries ◽  
World Population ◽  
Water Safety ◽  
Content Type ◽  
Essential Services ◽  
The World ◽  
The Impact

PurposeThe authors present the impact of the coronavirus disease 2019 (COVID-19) pandemic on community lifelines. The state machinery has several departments to secure essential lifelines during disasters and epidemics. Many countries have formed national disaster management authorities to deal with manmade and natural disasters. Typical lifelines include food, water, safety and security, continuity of services, medicines and healthcare equipment, gas, oil and electricity supplies, telecommunication services, transportation means and education system. Supply chain systems are often affected by disasters, which should have alternative sources and routes. Doctors, nurses and medics are front-line soldiers against diseases during pandemics.Design/methodology/approachThe COVID-19 pandemic has revealed how much we all are connected yet unprepared for natural disasters. Political leaders prioritize infrastructures, education but overlook the health sector. During the recent pandemic, developed countries faced more mortalities, fatalities and casualties than developing countries. This work surveys the impact of the COVID-19 pandemic on health, energy, environment, industry, education and food supply lines.FindingsThe COVID-19 pandemic caused 7% reductions in greenhouse gas (GHG) emissions during global lockdowns. In addition, COVID-19 has affected social fabric, behaviors, cultures and official routines. Around 2.84 bn doses have been administrated, with approximately 806 m people (10.3% of the world population) are fully vaccinated around the world to date. Most developed vaccines are being evaluated for new variants like alpha, beta, gamma, epsilons and delta first detected in the UK, South Africa, Brazil, USA and India. The COVID-19 pandemic has affected all sectors in society, yet this paper critically reviews the impact of COVID-19 on health and energy lifelines.Practical implicationsThis paper critically reviews the health and energy lifelines during pandemic COVID-19 and explains how these essential services were interrupted.Originality/valueThis paper critically reviews the health and energy lifelines during pandemic COVID-19 and explains how these essential services were interrupted.

STATISTICAL ANALYSIS OF LABOUR RESOURCES IN ROMANIA, BEFORE COVID-19 PANDEMIC CRISIS

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Ciprian Iftimoaei ◽  
Cristian-Ionuţ Baciu
Keyword(s):  
European Union ◽  
Statistical Analysis ◽  
Linear Regression ◽  
Unemployment Rate ◽  
Economic Transition ◽  
Linear Regression Analysis ◽  
Hierarchical Cluster ◽  
Developed Countries ◽  
The European Union ◽  
Simple Linear Regression

In the three decades since the collapse of communism in Romania (1989), human resources have gone through several distinct moments in the process of social and economic transition, from the state economy to the market economy: (1) the period 1990-2007 characterized by declining employment, rising unemployment, low wages, employee poverty, labour migration to developed countries; (2) the period 2007-2019 in which Romanian employees experienced the benefits of the European integration process, which meant economic macrostability, increased foreign investment, projects financed by European operational programs that led to increased living standards, increased employment, labour crisis; (3) the period beginning with the 2020 pandemic year and the economic and social crisis, the effects of which are already quantified by official statistics. This paper proposes a retrospective analysis of the evolution of labour resources in Romania, after joining the European Union. The methodology used combines descriptive statistical analysis (labour resources, activity rate, employment rate, unemployment rate, average net earnings), hierarchical cluster analysis to compare the employment situation in Romania in the year of accession to the European Union (2007) versus the year before the onset of the pandemic crisis (2019) and the simple linear regression analysis, having as an independent variable the „unemployment rate” and as a dependent variable „the number of employees”. Simple linear regression is used not only for teaching purposes, but in addition to testing the link between variables, we wanted to find out how much the number of employees decreases if the unemployment rate increases by one percentage point nationwide. The data used come from the TEMPO Online database of the National Institute of Statistics and were processed with the SPSS.

scholarly journals The Impact of Leadership, Motivation and Discipline on Employee Performance (a Study on Employees of PT Surabaya Marine)

2021 ◽  
Author(s):  
Eva Trisnawati Chumairoh ◽  
Trianggoro Wiradinata
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Independent Variables ◽  
Leadership Motivation ◽  
The Impact

This purpose of this study was to determine the effect of leadership, motivation and discipline on employee performance. The independent variables were leadership (X1), motivation (X1) and discipline (X3). The dependent variable was employee performance (Y). This was explanatory research with a quantitative approach. The study was conducted at PT Surabaya Marine with employees. Data analysis was carried out through multiple linear regression analysis with the F test and t test. Employee performance was strongly influenced by leadership, motivation and discipline. Keywords: leadership, motivation, discipline, employee performance

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