• Title/Summary/Keyword: Inferential Analysis

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The E-Servqual Effect on the Stickiness Intention of Marketplace During COVID-19 Pandemic: An Empirical Study in Indonesia

  • KUSUMAWATI, Andriani;AUGUSTINAH, Fedianty;ALHABSYI, Taher;SUHARYONO, Suharyono
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.573-581
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    • 2021
  • This paper examines the effect of e-service quality on the users of the Facebook marketplace. Users can always have stickiness intention. Stickiness intention is regarded as repetitive visits to and use of a certain website because of a commitment to continue using that website. Hence, we examine and explain the influence of e-service quality variables on stickiness intention. The variables used for e-service quality include efficiency, fulfillment, system availability, and privacy. The researchers related stickiness intention variable to online media users who always use the Facebook marketplace longer than other marketplaces, and users who visit the Facebook marketplace more often than other marketplaces. The method of data analysis was using inferential statistics GeSCA method. The GeSCA method is a Structural Equation Modeling (SEM) technique that can directly analyze latent variables, indicators, and measurement errors. The results of the GeSCA method before the COVID-19 pandemic states that an increase in e-service quality by 77.5% will increase stickiness intention by 61.2%. The results of the GeSCA method after the COVID-19 pandemic states that an increase in e-service quality by 85.2% would increase stickiness intention by 81.1%. This indicates that Facebook marketplace users had more stickiness intention for the Facebook marketplace.

Twelve Key Success Factors of Distribution Strategies for Distribution Community Enterprises Thailand

  • KANYARAT, Hassaro;PEERAWAT, Chailom
    • Journal of Distribution Science
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    • v.20 no.8
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    • pp.59-67
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    • 2022
  • Purpose: This study identifies how twelve key success factors of distribution strategies for community enterprises in Thailand achieve higher performances. Research design, data, and methodology: The samples in this study were 400 entrepreneurs throughout the country. The instrument for data elicitation was a questionnaire. The descriptive and inferential statistics for data analysis were percentage, mean, standard deviation, T-Test, F-Test, multiple regression, and multiple correlations. Results: The results revealed that, overall, the samples showed high opinions on online distribution strategies in all aspects. In detail, the three highest factors were as follows: 1) electronic satisfaction, 2) product characteristics and electronic trust, and 3) the quality and success in online distribution. In detail, the three highest aspects of online distribution success were customer loyalty, financial performance, and work management, respectively. The online distribution strategies influencing community enterprises' success were electronic trust, electronic loyalty, social information, electronic satisfaction, and online distribution tools, which had a statistical significance of 71. Conclusions: This research has made an essential contribution to community enterprise entrepreneurs should focus on and adopt these 8P+4ODS concepts to increase sales, maintain brand loyalty of existing customers, get new customers, develop learning, and improve the working potentials of community enterprise entrepreneurs.

Impact of Quarrying Activities on the Surrounding Vegetation in Ogun State, Nigeria

  • Isiaka Adio, Hassan
    • Journal of Forest and Environmental Science
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    • v.38 no.4
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    • pp.263-274
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    • 2022
  • Quarrying of rock for construction purposes is a significant industry in any economy but has its negative impact. This study examined the impact of quarry activities on surrounding vegetation in Ogun State. Geographic Information System approach was used to map the various quarry locations present in different Local Government Areas in Ogun State; of which eight sites were selected namely Isara, Idode, Iwaye, Ogbere, Ilagbe, Adelokun Baaki Ake and Igodo. Vegetation composition analyses were carried out on the eight sites using Haga Ultimeter and chlorophyll content analysis. Data were subjected to descriptive and inferential statistics using SAS package (9.4 version). Sixty quarries were identified with Odeda Local Government Area (38.3%) having the highest percentage of quarry. The vegetative compositions analyses showed that Albizia zygia had the highest frequency (7) among identified plants in the quarries. The chlorophyll content of Albizia zygia in the wet season (492.2 mg Chl/m2) was significantly higher than dry season (464.4 mg Chl/m2) in all locations. However, Baaki Ake (Albizia zygia) chlorophyll content was highest among other locations in both seasons. In conclusion Albizia zygia showed highest resistance to quarry activities, hence common among other plants identified around the quarries.

The Assessment of Patients Satisfaction with Healthcare Services Provided in the Hawtat Bani Tamim During the COVID-19 Pandemic

  • Ahmed Saied Rahama, ABDALLAH;Mohammed Omar Musa, MOHAMMED
    • The Journal of Asian Finance, Economics and Business
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    • v.10 no.2
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    • pp.41-48
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    • 2023
  • This study aims to evaluate patients' satisfaction with healthcare services in Hawtat Bani Tamim Governorate during the spread of coronavirus. The importance of this study stems from the fact that Covid-19 is challenging countries all over the world. The study adopted a questionnaire for collecting the data. The sample size reached 231 members. The study applied descriptive statistics and inferential statistical methods to obtain the result of the study. The analysis of the data revealed that most of the participants are satisfied with the healthcare services in hospitals and health centers during the Corona pandemic, Health precautions and distancing measures were applied appropriately, Vaccination against corona was available in health centers and easy to access, and rapid response of health care service providers to patients' requests. The participant's opinions showed that the application of Mawid is a suitable method to access healthcare services during Corona, the application is more efficient in providing the required healthcare services and facilitating their access to healthcare services. In addition, patient satisfaction with the "My health" application provided fast and convenient services during the Corona pandemic and provided medical consultations easily.

APPRAISAL OF MAINTENANCE MANAGEMENT STRATEGIES USED IN PUBLIC HOSPITAL BUILDINGS IN LAGOS STATE, NIGERIA

  • Adenuga, O.A;Iyagba, R.O.;Ogunsanmi, E.O
    • International conference on construction engineering and project management
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    • 2007.03a
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    • pp.837-847
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    • 2007
  • The study focused on the evaluation of maintenance management strategies used in public hospital buildings in Lagos state. It also assessed the labour composition for maintenance operations. In achieving these objectives, opinions of maintenance officers of ten (10) different hospitals in different local government areas of the state were sampled through well structured questionnaires. The data collected were analyzed using descriptive and inferential statistics. From the analysis, the study revealed that majority of those public hospitals do not have specific budget for maintenance programmes, maintenance policies, maintenance log book and maintenance manual to guide the operatives. About 98% of them do not understand the type of maintenance strategy being used for their maintenance operations. 78% of the maintenance work are only executed when there is a breakdown or in response to user's request. For labour composition, the cleaning of interior and exterior of the building, inspection of building elements, repairs and replacements of building elements are mainly carried out by in-house staff, while the repair and replacement of equipment is by outsourcing. The study also revealed that using in- house staff, reduces costs and provides a higher security while outsourcing provides more flexibility in staffing reduces equipment expenditures and provide better access to special skills. The study recommended proactive measures to provide necessary training and support for maintenance staff and users of these facilities and a means of securing sufficient funds for maintenance programmes.

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The Moderating Effect of COVID-19 on the Promotion, Distribution and Sales of Dairy Products in Western India: An Exploratory Study

  • SINGH, Sanjit;KOTALA, Siva Sai Madhumitha;SINGH, Prakash;V, Sai Krishna;YAMALA, Karthik
    • Journal of Distribution Science
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    • v.20 no.6
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    • pp.11-19
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    • 2022
  • Purpose: This study aims at exploring and understanding the effect of four independent variables related to dairy retail marketing and distribution (deep freezers, promotions, company support and distributor-retailer relationship) and one moderating variable Covid-19 lockdown on sales of dairy product during the Covid 19 pandemic situation. Research design and methodology: Personal interviews and door-to-door surveys and promotional tools were designed to publicise and collect data from the retailers. The sale data before, during and after promotion activity were all recorded and evaluated to draw an inferential conclusion. Factor analysis and multiple regression methods were adopted to analyses the data collected. Results: The research shows that four out of the five factors studied was found having significant impact on dairy retail sales. The highest impact on sales was contributed by promotions, secondly by the deep freezer impact followed by distributor-retailer relationship during the study period and lastly but not the least due to influence of Covid-19 lockdown. Conclusions: The study contributes to the body of knowledge in cold chain distribution process through utilization of right mix of tools and tactics for effective marketing and distribution of dairy products in developing countries especially during a pandemic situation.

Inter-Factor Determinants of Return Reversal Effect with Dynamic Bayesian Network Analysis: Empirical Evidence from Pakistan

  • HAQUE, Abdul;RAO, Marriam;QAMAR, Muhammad Ali Jibran
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.3
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    • pp.203-215
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    • 2022
  • Bayesian Networks are multivariate probabilistic factor graphs that are used to assess underlying factor relationships. From January 2005 to December 2018, the study examines how Dynamic Bayesian Networks can be utilized to estimate portfolio risk and return as well as determine inter-factor relationships among reversal profit-generating components in Pakistan's emerging market (PSX). The goal of this article is to uncover the factors that cause reversal profits in the Pakistani stock market. In visual form, Bayesian networks can generate causal and inferential probabilistic relationships. Investors might update their stock return values in the network simultaneously with fresh market information, resulting in a dynamic shift in portfolio risk distribution across the networks. The findings show that investments in low net profit margin, low investment, and high volatility-based designed portfolios yield the biggest dynamical reversal profits. The main triggering aspects related to generation reversal profits in the Pakistan market, in the long run, are net profit margin, market risk premium, investment, size, and volatility factor. Investors should invest in and build portfolios with small companies that have a low price-to-earnings ratio, small earnings per share, and minimal volatility, according to the most likely explanation.

A survey on the relation between the employees' viewpoint with knowledge management and cultural intelligence among the employees working in Social Security Organization of Ardabil

  • Borjian, Sheyda;Alavi, Soheila
    • The Journal of Economics, Marketing and Management
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    • v.5 no.2
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    • pp.1-9
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    • 2017
  • This study has reviewed the "A survey on the relation between the employees' viewpoint with knowledge management and cultural intelligence among the employees working in Social Security Organization of Ardabil". The present study is functional in terms of objective and the method is descriptive and survey. This has asked the others' ideas and viewpoints concerning a specific subject and has analyzed them. About the nature and the method used, the present research is of correlation research. The population applied in this research includes all employees working in Social Security Organization of Ardabil consisting of 400. The method used for sampling is simple random sampling. To collect the information in the first step of the research the library method has been used. In this research the data has been collected through standard questionnaires. Then, via descriptive and inferential statistics the research data has been characterized and regarding the spatial scaling of the measurement to test the hypothesis the, correlation analysis of Pearson has been used and also to specify the reliability of the questionnaire the Chronbach's Alpha has been taken in use and the SPSS software to analyze the data also. The findings resulted from the study showed that there is a significant relation between the factors concerning employees' efficiency with knowledge management and the cultural intelligence and all hypotheses was confirmed.

Factors influencing postpartum depression in Saudi women: a cross-sectional descriptive study

  • Amira Alshowkan;Emad Shdaifat
    • Women's Health Nursing
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    • v.30 no.2
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    • pp.164-173
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    • 2024
  • Purpose: This study aimed to investigate the prevalence of postpartum depression (PPD) and stress, as well as factors influencing PPD, among women in Saudi Arabia. Methods: This study employed a cross-sectional online survey and recruited participants during postpartum visits to the Clinic of Gynecology and Obstetrics in Al-Khobar, Saudi Arabia. Data collection was done using Arabic versions of the Edinburgh Postnatal Depression Scale, Perceived Stress Scale, and a sociodemographics and obstetric history questionnaire. Descriptive and inferential analyses were conducted, including multiple linear regression using a stepwise method. Results: Data from the 270 participants showed low levels of postpartum depressive symptoms with a mean score of 2.54±4.5 and low levels of perceived stress with a mean score of 2.49±6.2. While 94.4% of the participants reported low levels of stress and PPD, 5.6% reported elevated levels (≥10 for PPD, ≥14 for stress). The stepwise regression analysis showed significant results (p<.001), accounting for 34% of the variance in PPD. The factors significantly influencing PPD included the type of family, stress, number of abortions, disease during pregnancy, and family income. Importantly, perceived stress emerged as a factor influencing PPD. Conclusion: Although the majority of participants exhibited low levels of PPD, about 1 in 18 showed elevated levels. The identification of significant influencing factors highlights the need for targeted interventions to effectively address mental health concerns in postpartum women.

An Evaluation of the Use of Statistical Methods in the Journal of Tuberculosis and Respiratory Diseases ([결핵 및 호흡기질환] 게재 논문의 통계적 기법 활용에 대한 평가)

  • Koh, Won-Jung;Lee, Seung-Joon;Kang, Min Jong;Lee, Hun Jae
    • Tuberculosis and Respiratory Diseases
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    • v.57 no.2
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    • pp.168-179
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    • 2004
  • Background : The statistical analysis is an essential procedure ensuring that the results of researches are based on evidences rather than opinion. The purpose of this study is to evaluate which statistical techniques are used and whether these statistical methods are used appropriately or not in the journal of Tuberculosis and Respiratory Diseases. Materials and Methods : We reviewed 185 articles reported in the journal of Tuberculosis and Respiratory Diseases in 1999. We evaluated the validity of used statistical methods based upon the checklist that was developed on the basis of the guideline for statistical reporting in articles for medical journals by International Committee of Medical Journal Editors. Results : Among 185 articles, original articles and case reports were 110 (59.5%) and 61 (33.0%) respectively. In 112 articles excluding case reports and reviews, statistical techniques were used in 107 articles (95.5%). In 94 articles (83.9%) descriptive and inferential methods were used, while in 13 (11.6%) articles only descriptive methods were used. With the types of inferential statistical techniques, comparison of means was most commonly used (64/94, 68.1%), followed by contingency table (43/94, 45.7%) and correlation or regression (18/94, 19.1%). Among the articles in which descriptive methods were used, 83.2% (89/107) showed inappropriate central tendency and dispersion. In the articles in which inferential methods were used, improper methods were applied in 88.8% (79/89) and the most frequent misuse of statistical methods was inappropriate use of parametric methods (35/89, 39.3%). Only 14 articles (13.1%) were satisfactory in utilization of statistical methodology. Conclusion : Most of the statistical errors found in the journal were misuses of statistical methods related to basic statistics. This study suggests that researchers should be more careful when they describe and apply statistical methods and more extensive statistical refereeing system would be needed.