The Impact of Customer Service, Insurance and Luggage Delivery Towards Logistics Customer Satisfaction in Pandemic Situation

2021 ◽  
Vol 12 (3) ◽  
pp. 4999-5004
Author(s):  
Mohd Fathi Abu Yaziz Et. al.
Keyword(s):  
Customer Satisfaction ◽  
Correlation Analysis ◽  
Customer Service ◽  
Business Model ◽  
Quantitative Method ◽  
Pearson Correlation ◽  
Logistics Industry ◽  
Pearson Correlation Analysis ◽  
Customer Services ◽  
The Impact

As the pandemic of Covid 19 has directly affected the business industry, the business model has changed, including the logistics industry, especially the courier company. Courier company has benefited the most during this pandemic situation as the e-commerce business flourished. Enhanced service by courier company is crucial as stiff competition in the industry. Therefore, this study explores the impact of customer service, insurance, and luggage delivery on logistics customer satisfaction. A quantitative method was employed to analyse the effects of enhanced services of customer services, insurance, and luggage delivery towards logistics customer satisfaction, where 384 responses were collected from respondents identified as active users of courier services for the last 12 months. IBM SPSS was used to analyse the response collected using descriptive, reliability and Pearson Correlation analysis. As a result, it is justifiable that customer service, insurance, and luggage delivery positively impact logistics customer satisfactio

scholarly journals Service management and guest satisfaction for the hotel industry in Abeokuta, Nigeria

2021 ◽  
pp. 52-69
Author(s):  
Edwin Chigozie-Nwokorie
Keyword(s):  
Standard Deviation ◽  
Correlation Analysis ◽  
Service Management ◽  
Pearson Correlation ◽  
Hotel Industry ◽  
Southwest Nigeria ◽  
Guest Satisfaction ◽  
Pearson Correlation Analysis ◽  
The Impact ◽  
The Relationship

This study investigates the impact of service management on guest satisfaction in the hotel industry in five medium hotels in Abeokuta, Southwest Nigeria. A sample size of 154 was selected for the study, in which 102 usable responses were analyzed in inferential statistics for means and standard deviation. Pearson correlation, Analysis of Variance, and Ordinary List Squares were compared to measure relationships between variables through the formulated hypotheses for the study. Findings revealed a significant relationship between sufficient service management and guest satisfaction, while the relationship between guest goodwill and service management in the study area is not statistically significant. The study recommends the essentiality for the employer to provide adequate motivation to enhance workforce dedication to facilitate guest satisfaction.

The Impact Analysis of Climate Change on the Wetland in Jianghan and Dongting Plain

2013 ◽  
Vol 864-867 ◽  
pp. 949-952
Author(s):  
Hui Li ◽  
Xue Lei Wang ◽  
Xiao Yan Wang ◽  
Liu Zhi Jiang ◽  
Ting Zhang ◽  
...  
Keyword(s):  
Climate Change ◽  
Correlation Analysis ◽  
Air Temperature ◽  
Impact Analysis ◽  
Algal Bloom ◽  
Pearson Correlation ◽  
Significant Negative Correlation ◽  
Pearson Correlation Analysis ◽  
Migratory Route ◽  
The Impact

The trend of climate change in Jianghan and Dongting Plain is obvious. The trend of climate change and its impact on the wetland were got through the unitary linear recursive analysis and Pearson correlation analysis. That the air temperature is becoming higher made the algal bloom happens earlier. The precipitation has a significant negative correlation with the exposed days of bottomland. Meanwhile, the exposed days of bottomland has a positive correlation with the air temperature. The trend of climate warming has impact on the distribution, migratory route and breed time. The biodiversity decreased in the Jianghan and Dongting Plain.

scholarly journals Development an Immune-Associated LncRNA Prognostic Index for Papillary Thyroid Cancer

2020 ◽  
Author(s):  
Min Mao ◽  
Rong-zhi Huang ◽  
Zhu Yu ◽  
Jie Zheng ◽  
Hai-qi Liang ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Correlation Analysis ◽  
Papillary Thyroid Cancer ◽  
Pearson Correlation ◽  
Prognostic Index ◽  
Gene Set Enrichment Analysis ◽  
Papillary Thyroid ◽  
Immune System Development ◽  
Pearson Correlation Analysis ◽  
The Impact

Abstract BACKGROUND: Papillary thyroid cancer (PTC) is the most common pathological type of thyroid cancer and its incidence is still on the rise worldwide. Our study aimed to provide an understanding of papillary thyroid cancer in immunological aspects and prompt its clinical diagnosis and treatment.METHODS: We obtained RNA-FPKM data and clinical data of papillary thyroid cancer (PTC) samples from the TCGA data portal. Immune-related genes (IRGs) were selected from Molecular Signatures Database v7.0. The immune-related lncRNAs were identified by constructing DELs-IRGs co-expression networks. Cox regression and Kaplan-Meier methods were used to construct immune-related lncRNAs prognosis index (IRLPI) and analyze the impact of IRLPI on overall survival. Gene Set Enrichment Analysis (GSEA) was performed by clusterProfiler R package to explore the potential molecular mechanism in TCGA dataset. The relationship between immune cell types and IRLPI were explored by using Pearson correlation analysis.RESULTS: A total of 478 primary PTC samples were collected for the analysis. 162 immune-related lncRNAs were identified in immune-lncRNAs co-expression network. And 7 lncRNAs were extracted to develop the IRLPI. Patients with high-IRLPI showed poor survival probability (P =0.00052) and IRLPI was identified as an independent prognostic factor (HR: 2.329, 95%CI: 1.481-2.664, p =2.54e-4). ROC curve declared a promising prognosis ability of IRLPI. PCA proved that IRLPI reflected different immune environment and biological processes. GSEA indicated that immune system development is the main different biological process between high- and low-IRLPI group. Furthermore, IRLPI was proved that it related with multiple immune cells and immune responses by Pearson correlation analysis.CONCLUSION: Our results showed that immune-related lncRNAs prognosis index (IRLPI) could serve as a potential prognostic model in papillary thyroid cancer and play an important role in the immunotherapies and surveillance of PTC.

scholarly journals The Impact Assessment of Increasing Population Density on Jeddah Road Transportation Using Spatial-Temporal Analysis

2021 ◽  
Vol 13 (3) ◽  
pp. 1455
Author(s):  
Mohammed Aljoufie
Keyword(s):  
Population Density ◽  
Correlation Analysis ◽  
Pearson Correlation ◽  
T Test ◽  
Road Transportation ◽  
Fast Growing ◽  
Paired Samples ◽  
Pearson Correlation Analysis ◽  
The Impact ◽  
Paired T Test

This paper aimed to measure and analyze the impact of temporal population density changes on transportation in Jeddah, a fast-growing city in Saudi Arabia. Local cooperative interpretation is first used to quantify the temporal population density and transportation changes for three sample districts in Jeddah from 2007 to 2014. Three temporal indicators were developed to measure the impact of increasing population density on transportation: (1) District Road Density Index (DRDI); (2) District Parking Index (DPI); and (3) District Trip Index (DTI). Then, a statistical analysis was conducted to examine the temporal relationship between population density and transportation for the years 2007 and 2014, by performing a Pearson correlation analysis, a paired t-test and a bootstrap for paired samples test. The results of temporal indicators revealed a significant change in population density in Jeddah from 2007 to 2014, which seems to indicate intensified demand for transportation infrastructure. The Pearson correlation analysis indicated a strong positive relationship between population density variables and temporal impact indicators. Both a paired t-test and a bootstrap for paired samples test results indicated the effect of population density changes on transportation changes in Jeddah as a result of population density regulation changes in Jeddah from 2007 to 2014. This study presents sophisticated tools to study the impact of temporal population density change on transportation in a fast-growing city, which will facilitate the measurement and evaluation of urban sustainability.

Identification and Validation of a Seven m6A-related lncRNAs Signature Predicting Prognosis of Ovarian Cancer

2021 ◽  
Author(s):  
Yan Li ◽  
Xiaoying Wang ◽  
Yue Han ◽  
Xun Li
Keyword(s):  
Ovarian Cancer ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Prognostic Value ◽  
Cox Regression ◽  
Risk Group ◽  
Pearson Correlation ◽  
Regression Analyses ◽  
Cox Regression Analysis ◽  
Pearson Correlation Analysis

Abstract Background: Long non-coding RNAs (lncRNAs) play an important role in angiogenesis, immune response, inflammatory response and tumor development and metastasis. m6 A (N6 - methyladenosine) is one of the most common RNA modifications in eukaryotes. The aim of our research was to investigate the potential prognostic value of m6A-related lncRNAs in ovarian cancer (OC).Methods: The data we need for our research was downloaded from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Pearson correlation analysis between 21 m6A regulators and lncRNAs was performed to identify m6A-related lncRNAs. Univariate Cox regression analysis was implemented to screen for lncRNAs with prognostic value. A least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression analyses was used to further reduct the lncRNAs with prognostic value and construct a m6A-related lncRNAs signature for predicting the prognosis of OC patients. Results: 275 m6A-related lncRNAs were obtained using pearson correlation analysis. 29 m6A-related lncRNAs with prognostic value was selected through univariate Cox regression analysis. Then, a seven m6A-related lncRNAs signature was identified by LASSO Cox regression. Each patient obtained a riskscore through multivariate Cox regression analyses and the patients were classified into high-and low-risk group using the median riskscore as a cutoff. Kaplan-Meier curve revealed that the patients in high-risk group have poor outcome. The receiver operating characteristic curve revealed that the predictive potential of the m6A-related lncRNAs signature for OC was powerful. The predictive potential of the m6A-related lncRNAs signature was successfully validated in the GSE9891, GSE26193 datasets and our clinical specimens. Multivariate analyses suggested that the m6A-related lncRNAs signature was an independent prognostic factor for OC patients. Moreover, a nomogram based on the expression level of the seven m6A-related lncRNAs was established to predict survival rate of patients with OC. Finally, a competing endogenous RNA (ceRNA) network associated with the seven m6A-related lncRNAs was constructed to understand the possible mechanisms of the m6A-related lncRNAs involed in the progression of OC.Conclusions: In conclusion, our research revealed that the m6A-related lncRNAs may affect the prognosis of OC patients and identified a seven m6A-related lncRNAs signature to predict the prognosis of OC patients.

Hubungan antara Penilaian Pembelajaran dengan Tingkah Laku Pegawai Agama dalam Usaha Dakwah kepada Odha di Malaysia

2016 ◽  
Vol 1 (1) ◽  
pp. 27-42
Author(s):  
Hazlin Kadir @ Shahar ◽  
Razaleigh Muhamat @ Kawangit ◽  
Rosmawati Mohamad Rasit ◽  
Badlihisham Mohd Nasir
Keyword(s):  
Correlation Analysis ◽  
Quantitative Methods ◽  
Pearson Correlation ◽  
People Living With Hiv ◽  
Strong Positive Correlation ◽  
Learning Evaluation ◽  
Pearson Correlation Analysis ◽  
Training Programmes ◽  
The Relationship ◽  
Hiv Aids

This article examines the relationship between learning and behavioural evaluation among religious officers in Malaysia after attending the Manual on HIV/AIDS in Islam Training Programmes organized by the Islamic Development Department of Malaysia (JAKIM). The training programmes were implemented to deliver the most accurate and the latest information on HIV / AIDS as well as to train religious officers in Malaysia to address the issues among Muslims. The training programmes apply the theoretical and practical activities where participants had the opportunity to carry out outreach activities with People Living with HIV / AIDS (ODHA). Quantitative methods through questionnaires were used to obtain data. A total of 350 religious officers who had attended the training programmes were selected as respondents by simple random sampling technique. Pearson correlation analysis was conducted to determine the relationship between the learning and behavioural evaluation. The results of the Pearson correlation analysis found that there was a significant relationship between learning evaluation in terms of the information obtained from programmes’ contents and behaviour evaluation with r = 0.489 and sig = 0.000 (p <0.05) at the medium positive range.. While the relationship between learning evaluation in terms of the information obtained from outreach activities with behavioural evaluation showed a strong positive correlation with the strength values obtained were r = 0.539 and sig = 0.000 (p <0.05). This analysis shows that the information acquired through the training program Manual Islam and HIV / AIDS has been successful in changing the behaviour of religious officers’ awareness in terms of the role of dakwah to ODHA. ABSTRAK Artikel ini bertujuan melihat hubungan antara penilaian pembelajaran dengan penilaian tingkah laku dalam kalangan Pegawai Agama di Malaysia setelah mengikuti Program Latihan Manual Islam dan HIV/AIDS anjuran Jabatan Kemajuan Islam Malaysia (JAKIM). Program latihan ini dilaksanakan untuk menyampaikan maklumat yang tepat serta informasi terkini isu HIV/AIDS di samping melatih Pegawai-pegawai Agama di Malaysia untuk menangani isu tersebut dalam kalangan umat Islam. Program latihan ini berbentuk teori dan praktikal di mana peserta program berpeluang melaksanakan dakwah secara temu seru (outreach) dengan Orang Yang Hidup dengan HIV/AIDS (ODHA) secara langsung. Kaedah kuantitatif melalui soal selidik telah digunakan untuk memperoleh data. Seramai 350 orang Pegawai Agama yang telah mengikuti program latihan ini dipilih sebagai responden melalui teknik pensampelan rawak mudah. Analisis korelasi Pearson dijalankan bagi mengenal pasti hubungan di antara penilaian pembelajaran dengan penilaian tingkah laku peserta yang mengikuti Program Latihan Manual Islam dan HIV/AIDS. Hasil analisis ujian korelasi Pearson tersebut mendapati bahawa terdapat hubungan yang signifikan di antara penilaian pembelajaran dari segi maklumat yang diperoleh daripada kandungan program dengan penilaian tingkah laku dengan nilai r = 0.489 dan sig = 0.000 (p<0.05). Kekuatan hubungan ialah positif sederhana. Manakala hubungan antara penilaian pembelajaran dari segi maklumat yang diperoleh daripada program temu seru dengan penilaian tingkah laku pula menunjukkan kekuatan hubungan positif kuat dengan nilai yang diperoleh ialah r = 0.539 dan sig = 0.000 (p<0.05). Analisis ini menunjukkan bahawa pembelajaran yang diperoleh melalui program latihan Manual Islam dan HIV/AIDS ini telah berjaya mengubah tingkah laku Pegawai Agama dari segi kesedaran peranan berdakwah kepada ODHA.

scholarly journals Customer Satisfaction and Customer Loyalty: Leading Super Markets in Jaffna District, Sri Lanka

2017 ◽  
Vol 8 (2) ◽  
pp. 67
Author(s):  
Kumaradeepan V. ◽  
Pathmini, M G S
Keyword(s):  
Social Sciences ◽  
Regression Analysis ◽  
Sri Lanka ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Random Sampling ◽  
Quantitative Method ◽  
Sampling Technique ◽  
Primary Data ◽  
The Impact

The topic of the research is Customer Satisfaction (CS) and Customer Loyalty (CL); special reference to the leading supermarkets in Jaffna. The objective of the research is to identify the impact of Customer Satisfaction on Customer Loyalty of leading Supermarkets in Jaffna, Sri Lanka. The research is simply deductive approach to find out the impact between Customer satisfaction and Customer loyalty. Quantitative method is available based on primary data. At present there are 08 numbers of supermarkets functioning in Jaffna district and popular three were selected. Random sampling technique is used to collect the data from customers of supermarkets in selected area. The analysis is carried out using a sample of 240 customers in Jaffna and only 218 were taken to analyze. ‘Statistical Package for Social Sciences’ (SPSS) 22.0 version was used in order to analyze the data. Correlation was used to find the connection between Customer Satisfaction and Customer Loyalty. Also Regression analysis is used to predict the value of a variable based on the value of two or more other variables. Also found that about 40 percent connection between Customer Satisfaction and Customer Loyalty and also found around 16% affect by Customer satisfaction to Customer loyalty.

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