Pub Date : 2023-12-18DOI: 10.47670/wuwijar202371ka
Koki Amano
This mixed study is an analysis of factors that influence customer retention and loyalty in dental practices in the US. The study determines and encourages patient choice to visit specific dental offices, ensures the well-being of dental customers, and supports the viability of dental practices in the industry. A mixed research methodology was employed, which started with a thematic content analysis of the sampled literature. This produced 18 influencing factors for the dental industry. Afterward, these factors were constructed into survey questions to conduct the primary research via SurveyMonkey and identify dental patient perceptions regarding these 18 factors. Finally, a non-parametric Kruskal-Wallis test was employed to rank and group the 18 factors based on their importance as perceived by US dental patients. The study highlighted the similarities and differences in the influencing factors across extant literature and contemporarily collected data in the US. While the extant literature ranked communication and relation as essential factors in retaining dental patients, the survey prioritized skill and trust as the crucial factors a patient would consider when choosing a dental clinic. This study grouped and ranked all 18 of the identified factors, which any dental clinic could consider retaining and enhancing the loyalty of their existing and prospective clients.
{"title":"Factors Influencing Customer Retention and Loyalty in Dental Practice in the United States","authors":"Koki Amano","doi":"10.47670/wuwijar202371ka","DOIUrl":"https://doi.org/10.47670/wuwijar202371ka","url":null,"abstract":"This mixed study is an analysis of factors that influence customer retention and loyalty in dental practices in the US. The study determines and encourages patient choice to visit specific dental offices, ensures the well-being of dental customers, and supports the viability of dental practices in the industry. A mixed research methodology was employed, which started with a thematic content analysis of the sampled literature. This produced 18 influencing factors for the dental industry. Afterward, these factors were constructed into survey questions to conduct the primary research via SurveyMonkey and identify dental patient perceptions regarding these 18 factors. Finally, a non-parametric Kruskal-Wallis test was employed to rank and group the 18 factors based on their importance as perceived by US dental patients. The study highlighted the similarities and differences in the influencing factors across extant literature and contemporarily collected data in the US. While the extant literature ranked communication and relation as essential factors in retaining dental patients, the survey prioritized skill and trust as the crucial factors a patient would consider when choosing a dental clinic. This study grouped and ranked all 18 of the identified factors, which any dental clinic could consider retaining and enhancing the loyalty of their existing and prospective clients.","PeriodicalId":505026,"journal":{"name":"Fall Issue, 2023","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139173949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-18DOI: 10.47670/wuwijar202371hiy
HAni Ibrahim Younis
The rapid growth of mobile applications in the banking sector has been increasing due to the ease of use and saving the time of users. However, the fierce competition between banks draws attention to the factors that increase the use of banking mobile applications to maintain the level of satisfaction of the customers of each bank. One of the crucial aspects that decision-makers need to understand is the consumer behavior of mobile banking applications. Therefore, this research paper aims to present a comprehensive exploration of mobile banking adoption by examining the interplay of cultural dynamics, usability, cross-cultural comparisons, economic factors, and the significance of longitudinal insights. It elucidates how cultural norms and societal expectations impact adoption, emphasizing regional variations. The study also dissects mobile banking app interfaces to enhance user-friendliness, tailoring them to diverse user preferences. Cross-cultural comparisons shed light on the interplay between culture, economics, and regulations. It scrutinizes economic factors, considering income levels and financial literacy while emphasizing the importance of longitudinal studies for tracking evolving adoption patterns. This research not only advances our knowledge of mobile banking adoption but also offers practical insights for banks, policymakers, and service providers as they navigate the rapidly evolving mobile banking landscape in an increasingly digital world.
{"title":"Towards Understanding the Consumer Behavior of Mobile Banking Applications for Management Decision Makers","authors":"HAni Ibrahim Younis","doi":"10.47670/wuwijar202371hiy","DOIUrl":"https://doi.org/10.47670/wuwijar202371hiy","url":null,"abstract":"The rapid growth of mobile applications in the banking sector has been increasing due to the ease of use and saving the time of users. However, the fierce competition between banks draws attention to the factors that increase the use of banking mobile applications to maintain the level of satisfaction of the customers of each bank. One of the crucial aspects that decision-makers need to understand is the consumer behavior of mobile banking applications. Therefore, this research paper aims to present a comprehensive exploration of mobile banking adoption by examining the interplay of cultural dynamics, usability, cross-cultural comparisons, economic factors, and the significance of longitudinal insights. It elucidates how cultural norms and societal expectations impact adoption, emphasizing regional variations. The study also dissects mobile banking app interfaces to enhance user-friendliness, tailoring them to diverse user preferences. Cross-cultural comparisons shed light on the interplay between culture, economics, and regulations. It scrutinizes economic factors, considering income levels and financial literacy while emphasizing the importance of longitudinal studies for tracking evolving adoption patterns. This research not only advances our knowledge of mobile banking adoption but also offers practical insights for banks, policymakers, and service providers as they navigate the rapidly evolving mobile banking landscape in an increasingly digital world.","PeriodicalId":505026,"journal":{"name":"Fall Issue, 2023","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139174213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-18DOI: 10.47670/wuwijar202371sdo
Steven Darryl Owlett
Hospital administrators face a complex decision-making process in addressing 30-day readmission. This qualitative descriptive study used purposive sampling with criteria to identify and interview 12 study hospital administrators in Florida. Semi-structured interviews and 15 secondary-archival data sources were analyzed to determine themes. Ten themes emerged from the thematic data analysis, revealing that hospital administrator decision-making is multi-faceted and involves knowledge of systems, complexity, past experiences, and available data. Internal and external factors can influence hospital behavior and, if not managed correctly, can lead to chaotic readmission processes with increased operating costs, poorer patient outcomes, and unwanted attention from regulators. This study provides new knowledge to enhance hospital administration decision-making.
{"title":"Decision-Making Processes Used by Florida Hospital Administrators to Reduce 30-Day Readmission","authors":"Steven Darryl Owlett","doi":"10.47670/wuwijar202371sdo","DOIUrl":"https://doi.org/10.47670/wuwijar202371sdo","url":null,"abstract":"Hospital administrators face a complex decision-making process in addressing 30-day readmission. This qualitative descriptive study used purposive sampling with criteria to identify and interview 12 study hospital administrators in Florida. Semi-structured interviews and 15 secondary-archival data sources were analyzed to determine themes. Ten themes emerged from the thematic data analysis, revealing that hospital administrator decision-making is multi-faceted and involves knowledge of systems, complexity, past experiences, and available data. Internal and external factors can influence hospital behavior and, if not managed correctly, can lead to chaotic readmission processes with increased operating costs, poorer patient outcomes, and unwanted attention from regulators. This study provides new knowledge to enhance hospital administration decision-making.","PeriodicalId":505026,"journal":{"name":"Fall Issue, 2023","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139174493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-18DOI: 10.47670/wuwijar202371suksekas
Sugam Upadhayay, Kaveh Shamsa, Edmund Khashadourian, Alex Sherm
The USA is the world’s largest economy in terms of the consumption of resources. The excessive and irresponsible consumption of resources in the developed countries has jeopardized the stock of global resources. This quantitative study highlighting the importance of the circular economy (CE), has assessed the factors that would support the circular transition in the USA. Time series analysis based on the Autoregressive Distributed Lag (ARDL) model was employed to analyze the impact of Gross Domestic Product (GDP) per capita, Research and Development expenses, and Renewable Energy consumption on circular economy in the US with annual data from 1971 to 2017. While the study indicated the existence of a long-run relationship between the GDP per capita and renewable energy consumption, no relationship was observed between research and development expenses and the circular economy. The study strongly emphasizes the need for policy interventions to enhance the level of awareness regarding circular economy, increase consumption of renewable energies and steering investments in research and development activities to support CE activities in the USA.
{"title":"Determinants of Circular Economy: An Empirical Approach in the Context of the United States of America","authors":"Sugam Upadhayay, Kaveh Shamsa, Edmund Khashadourian, Alex Sherm","doi":"10.47670/wuwijar202371suksekas","DOIUrl":"https://doi.org/10.47670/wuwijar202371suksekas","url":null,"abstract":"The USA is the world’s largest economy in terms of the consumption of resources. The excessive and irresponsible consumption of resources in the developed countries has jeopardized the stock of global resources. This quantitative study highlighting the importance of the circular economy (CE), has assessed the factors that would support the circular transition in the USA. Time series analysis based on the Autoregressive Distributed Lag (ARDL) model was employed to analyze the impact of Gross Domestic Product (GDP) per capita, Research and Development expenses, and Renewable Energy consumption on circular economy in the US with annual data from 1971 to 2017. While the study indicated the existence of a long-run relationship between the GDP per capita and renewable energy consumption, no relationship was observed between research and development expenses and the circular economy. The study strongly emphasizes the need for policy interventions to enhance the level of awareness regarding circular economy, increase consumption of renewable energies and steering investments in research and development activities to support CE activities in the USA.","PeriodicalId":505026,"journal":{"name":"Fall Issue, 2023","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139175348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-18DOI: 10.47670/wuwijar202371amhka
Ahmed Masry Hashala, Kate Andrews
The lack of an efficient budgeting system makes it more difficult for a business to satisfactorily execute projects or gain new business. To improve the accuracy of budgeting using the classical approach, a dynamic system is required. Building dynamic systems that apply machine learning techniques can support companies in improving their budgeting system. This quantitative study built five machine learning regression models: multiple linear regression, artificial neural network, support vector machine, k-nearest neighbors, and random forest. The five built models were used to predict the closing costs of 552 industrial automation projects that were carried out in Africa and the Middle East. Using root mean square error, the model forecast precision was compared to that of the classical system. The outcome shows that there is a significant difference between machine learning models and classical systems. Therefore, the use of machine learning techniques can improve the accuracy for businesses of their budgeting system.
{"title":"Improving Project Budgeting Systems by Developing Machine Learning Models","authors":"Ahmed Masry Hashala, Kate Andrews","doi":"10.47670/wuwijar202371amhka","DOIUrl":"https://doi.org/10.47670/wuwijar202371amhka","url":null,"abstract":"The lack of an efficient budgeting system makes it more difficult for a business to satisfactorily execute projects or gain new business. To improve the accuracy of budgeting using the classical approach, a dynamic system is required. Building dynamic systems that apply machine learning techniques can support companies in improving their budgeting system. This quantitative study built five machine learning regression models: multiple linear regression, artificial neural network, support vector machine, k-nearest neighbors, and random forest. The five built models were used to predict the closing costs of 552 industrial automation projects that were carried out in Africa and the Middle East. Using root mean square error, the model forecast precision was compared to that of the classical system. The outcome shows that there is a significant difference between machine learning models and classical systems. Therefore, the use of machine learning techniques can improve the accuracy for businesses of their budgeting system.","PeriodicalId":505026,"journal":{"name":"Fall Issue, 2023","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139175600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-18DOI: 10.47670/wuwijar202371ss
Sothea Seng
Facebook’s rising popularity has inspired academics and teachers to investigate its potential as a setting for learning in diverse subject areas. Personality traits are crucial for foreign language learning. This small-scale quantitative study aimed to determine the possible effects of Cambodian university students’ Big Five personality traits and English usage on Facebook on their English achievement referring to the scores the participants attained through English macro skills (speaking, writing, listening, and reading). The samples were 41 English as a Foreign Language (EFL) juniors at a private university. The sole research instrument was a questionnaire, classified into two sections. The first was the adopted English Usage on Facebook Inventory for Language Learning developed by Kao and Craigie (2014), and the second was the Big Five Inventory (John & Srivastava, 1999). The findings revealed that English usage on Facebook was positively associated with only two personality traits: agreeableness and openness. However, the variables, including the five kinds of personality traits and Facebook usage of English, did not significantly predict English achievement.
{"title":"The Influence of English Usage on Facebook and Personality Traits on Learning Achievement","authors":"Sothea Seng","doi":"10.47670/wuwijar202371ss","DOIUrl":"https://doi.org/10.47670/wuwijar202371ss","url":null,"abstract":"Facebook’s rising popularity has inspired academics and teachers to investigate its potential as a setting for learning in diverse subject areas. Personality traits are crucial for foreign language learning. This small-scale quantitative study aimed to determine the possible effects of Cambodian university students’ Big Five personality traits and English usage on Facebook on their English achievement referring to the scores the participants attained through English macro skills (speaking, writing, listening, and reading). The samples were 41 English as a Foreign Language (EFL) juniors at a private university. The sole research instrument was a questionnaire, classified into two sections. The first was the adopted English Usage on Facebook Inventory for Language Learning developed by Kao and Craigie (2014), and the second was the Big Five Inventory (John & Srivastava, 1999). The findings revealed that English usage on Facebook was positively associated with only two personality traits: agreeableness and openness. However, the variables, including the five kinds of personality traits and Facebook usage of English, did not significantly predict English achievement.","PeriodicalId":505026,"journal":{"name":"Fall Issue, 2023","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139176059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-18DOI: 10.47670/wuwijar202371amim
Amr Mohamed Ibrahim Moawad
Identifying the factors affecting real estate purchasing is globally crucial to the industry stakeholders. The researcher noticed a lack of literature that defines and explains the factors influencing the expatriates' Intention to purchase residential properties in Dubai. In this quantitative study, the researcher utilized the theory of planned Behavior (TPB) to investigate the effect of attitude, subjective norms, and perceived behavior controls on the Intention to purchase residential real estate properties. Based on 384 usable responses received through randomly distributed survey questionnaires. All three research alternative hypotheses were found to be accepted. The empirical results show positive relationships between attitude, subjective norms, and perceived behavior control toward real estate property purchasing intention.
{"title":"Factors Influencing Real Estate Purchasing in Dubai","authors":"Amr Mohamed Ibrahim Moawad","doi":"10.47670/wuwijar202371amim","DOIUrl":"https://doi.org/10.47670/wuwijar202371amim","url":null,"abstract":"Identifying the factors affecting real estate purchasing is globally crucial to the industry stakeholders. The researcher noticed a lack of literature that defines and explains the factors influencing the expatriates' Intention to purchase residential properties in Dubai. In this quantitative study, the researcher utilized the theory of planned Behavior (TPB) to investigate the effect of attitude, subjective norms, and perceived behavior controls on the Intention to purchase residential real estate properties. Based on 384 usable responses received through randomly distributed survey questionnaires. All three research alternative hypotheses were found to be accepted. The empirical results show positive relationships between attitude, subjective norms, and perceived behavior control toward real estate property purchasing intention.","PeriodicalId":505026,"journal":{"name":"Fall Issue, 2023","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139173016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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