Pub Date : 2024-07-26DOI: 10.37394/23207.2024.21.132
Qinxi Zhang, Krisada Chienwattanasook
The purpose of this study is to investigate the impact of organizational identity on employees' workability in the Chinese art education industry and the mediating role of improvisational behavior in this context. Although the role of organizational identity and improvisational behavior has been extensively researched by scholars, little attention has been paid to the relationship between organizational identity and improvisational behavior on the work competence of employees in the arts education industry. Survey data were collected from 507 employees teaching art education in different regions of China. Quantitative research methods were used to test the research hypotheses and structural equation modeling was used to analyze the data. Organizational identity is positively related to employees' work competence, organizational identity is positively related to improvisational behavior, and improvisational behavior is positively related to employees' work competence, and improvisational behavior plays a mediating role between organizational identity and employees' work competence. This study shows that organizational identity is an important factor in employee motivation this study shows that organizational identity is an important factor for employee motivation, and also shows the mediating mechanism of improvisational behavior between organizational identity and employee work competence.
{"title":"The Influence of Organizational Identity on Employees’ Work Competence: The Mediating Role of Improvisational Behavior","authors":"Qinxi Zhang, Krisada Chienwattanasook","doi":"10.37394/23207.2024.21.132","DOIUrl":"https://doi.org/10.37394/23207.2024.21.132","url":null,"abstract":"The purpose of this study is to investigate the impact of organizational identity on employees' workability in the Chinese art education industry and the mediating role of improvisational behavior in this context. Although the role of organizational identity and improvisational behavior has been extensively researched by scholars, little attention has been paid to the relationship between organizational identity and improvisational behavior on the work competence of employees in the arts education industry. Survey data were collected from 507 employees teaching art education in different regions of China. Quantitative research methods were used to test the research hypotheses and structural equation modeling was used to analyze the data. Organizational identity is positively related to employees' work competence, organizational identity is positively related to improvisational behavior, and improvisational behavior is positively related to employees' work competence, and improvisational behavior plays a mediating role between organizational identity and employees' work competence. This study shows that organizational identity is an important factor in employee motivation this study shows that organizational identity is an important factor for employee motivation, and also shows the mediating mechanism of improvisational behavior between organizational identity and employee work competence.","PeriodicalId":39427,"journal":{"name":"WSEAS Transactions on Business and Economics","volume":"32 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801627","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 : 2024-07-26DOI: 10.37394/23207.2024.21.133
Ahmad Wasfi Mohammad Albdour, Manal Ali Almarashdah, Mohammed Almomani, H. Makhamreh, Ro’aa Adnan Mustafa, Hisham Ali Shatnawi
This research examines the effect of social marketing on improving brand devotion among insurance company customers in Jordan. Utilizing descriptive and analytical methods, the study surveyed northern province customers in Jerash, Irbid, and Ajloun. Of the 300 questionnaires distributed, 288 were gathered, a 96% response rate. The data underwent various statistical analyses including regression, t-tests, and variance analysis. The results show that social marketing among Jordanian insurance customers significantly and favorably increases the behavioral and attitudinal components of brand loyalty. The newspaper proposes that companies create specialized departments for social initiatives and media campaigns that enlighten the public about pertinent facts to increase the degree of customer awareness and loyalty. This study examines the connection between social media marketing and client loyalty in the Jordanian insurance industry. Additionally, it offers helpful suggestions to businesses looking to improve their social media marketing efforts.
{"title":"The Impact of Social Marketing on Enhancing Customer’s Loyalty for Jordanian Insurance Companies","authors":"Ahmad Wasfi Mohammad Albdour, Manal Ali Almarashdah, Mohammed Almomani, H. Makhamreh, Ro’aa Adnan Mustafa, Hisham Ali Shatnawi","doi":"10.37394/23207.2024.21.133","DOIUrl":"https://doi.org/10.37394/23207.2024.21.133","url":null,"abstract":"This research examines the effect of social marketing on improving brand devotion among insurance company customers in Jordan. Utilizing descriptive and analytical methods, the study surveyed northern province customers in Jerash, Irbid, and Ajloun. Of the 300 questionnaires distributed, 288 were gathered, a 96% response rate. The data underwent various statistical analyses including regression, t-tests, and variance analysis. The results show that social marketing among Jordanian insurance customers significantly and favorably increases the behavioral and attitudinal components of brand loyalty. The newspaper proposes that companies create specialized departments for social initiatives and media campaigns that enlighten the public about pertinent facts to increase the degree of customer awareness and loyalty. This study examines the connection between social media marketing and client loyalty in the Jordanian insurance industry. Additionally, it offers helpful suggestions to businesses looking to improve their social media marketing efforts.","PeriodicalId":39427,"journal":{"name":"WSEAS Transactions on Business and Economics","volume":"47 33","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141799652","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 : 2024-07-26DOI: 10.37394/23207.2024.21.134
Sena Erden Ayhün, B. Köse, Erdal Aydın
The objective of the study is to investigate the determinants of the intention of Generation Z customers to use online food delivery services. In this direction, the study aimed to determine the structural relationships between perceived usefulness, perceived ease of use, price and time saving, hedonic motivation, attitude, and behavioral intention. PLS-SEM is used in research analysis. The sample consists of 428 Generation Z customers. Findings obtained as a consequence of the research revealed that perceived ease of use, price and time-saving benefits, and hedonic motivation have positive effects on consumers' attitudes towards OFD services, and in addition, consumers' attitudes towards OFD services have positive effects on their behavioral intentions as well. This research contributes to a more comprehensive understanding of the consumption experience of Generation Z. The findings guide the sectoral representatives to formulate accurate and effective management policies in online food delivery services by analyzing the behavioral intentions of Generation Z. The results are also likely to be beneficial for restaurant managers and entrepreneurs.
本研究旨在调查 Z 世代顾客使用网上送餐服务意向的决定因素。为此，研究旨在确定感知有用性、感知易用性、价格和时间节省、享乐动机、态度和行为意向之间的结构关系。研究分析中使用了 PLS-SEM。样本由 428 名 Z 世代顾客组成。研究结果表明，感知到的易用性、价格和省时优势、享乐动机对消费者的外包类服务态度有积极影响，此外，消费者的外包类服务态度对其行为意向也有积极影响。本研究有助于更全面地了解 Z 世代的消费体验。研究结果通过分析 Z 世代的行为意向，指导行业代表制定准确有效的在线餐饮外卖服务管理政策。
{"title":"Determinants of Customers’ Intention to Use Online Food Delivery Services: A Study of Generation Z","authors":"Sena Erden Ayhün, B. Köse, Erdal Aydın","doi":"10.37394/23207.2024.21.134","DOIUrl":"https://doi.org/10.37394/23207.2024.21.134","url":null,"abstract":"The objective of the study is to investigate the determinants of the intention of Generation Z customers to use online food delivery services. In this direction, the study aimed to determine the structural relationships between perceived usefulness, perceived ease of use, price and time saving, hedonic motivation, attitude, and behavioral intention. PLS-SEM is used in research analysis. The sample consists of 428 Generation Z customers. Findings obtained as a consequence of the research revealed that perceived ease of use, price and time-saving benefits, and hedonic motivation have positive effects on consumers' attitudes towards OFD services, and in addition, consumers' attitudes towards OFD services have positive effects on their behavioral intentions as well. This research contributes to a more comprehensive understanding of the consumption experience of Generation Z. The findings guide the sectoral representatives to formulate accurate and effective management policies in online food delivery services by analyzing the behavioral intentions of Generation Z. The results are also likely to be beneficial for restaurant managers and entrepreneurs.","PeriodicalId":39427,"journal":{"name":"WSEAS Transactions on Business and Economics","volume":"38 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800280","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 : 2024-07-19DOI: 10.37394/23207.2024.21.131
K. Koparanov, E. Antonova, D. Minkovska, K. Georgiev
In the modern transport industry, vast and diverse information arrays, particularly those including time series data, are rapidly expanding. This growth presents an opportunity to improve the quality of forecasting. Researchers and practitioners are continuously developing innovative tools to predict their future values. The goal of the research is to improve the performance of automated forecasting environments in a systematic and structured way. This paper investigates the effect of substituting the initial time series with another of a similar nature, during the training phase of the model’s development. A financial data set and the Prophet model are employed for this objective. It is observed that the impact on the accuracy of the predicted future values is promising, albeit not significant. Based on the obtained results, valuable conclusions are drawn, and recommendations for further improvements are provided. By highlighting the importance of diverse data incorporation, this research assists in making informed choices and leveraging the full potential of available information for more precise forecasting outcomes.
{"title":"Time Series Cross-Sequence Prediction","authors":"K. Koparanov, E. Antonova, D. Minkovska, K. Georgiev","doi":"10.37394/23207.2024.21.131","DOIUrl":"https://doi.org/10.37394/23207.2024.21.131","url":null,"abstract":"In the modern transport industry, vast and diverse information arrays, particularly those including time series data, are rapidly expanding. This growth presents an opportunity to improve the quality of forecasting. Researchers and practitioners are continuously developing innovative tools to predict their future values. The goal of the research is to improve the performance of automated forecasting environments in a systematic and structured way. This paper investigates the effect of substituting the initial time series with another of a similar nature, during the training phase of the model’s development. A financial data set and the Prophet model are employed for this objective. It is observed that the impact on the accuracy of the predicted future values is promising, albeit not significant. Based on the obtained results, valuable conclusions are drawn, and recommendations for further improvements are provided. By highlighting the importance of diverse data incorporation, this research assists in making informed choices and leveraging the full potential of available information for more precise forecasting outcomes.","PeriodicalId":39427,"journal":{"name":"WSEAS Transactions on Business and Economics","volume":"112 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141821446","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 : 2024-07-12DOI: 10.37394/23207.2024.21.128
Muhammad Adnan Bashir, U. Saraih, R. Gundala, Junaid Ansari, Muhammad Azeem Qureshi, Shiraz Ahmed
Social media is becoming a medium of choice for businesses to interact with their potential and current customers to establish brand loyalty and grow customer trust in the digital age. This study investigates the complex relationship between social media marketing and its impact on consumer trust and loyalty to brands. A conceptual framework is developed based on the past literature to quantitatively measure the impact of social media marketing on brand trust and customer loyalty (cognitive, affective, conative, and action loyalty). Data was collected from 315 users of a fashion brand that they like and follow on social media. PLS-SEM was used to assess the proposed relationships. The findings of the study reveal that social media marketing significantly impacts brand trust and brand loyalty and its dimensions such as cognitive, affective, conative, and action loyalty. The findings of this study offer insightful information for marketers looking to use the power of social media marketing to increase customer trust and loyalty. The results highlight the necessity for a comprehensive strategy that goes beyond simple promotional content and emphasizes developing deep connections with customers to build trust and shaping loyalty in the digital environment.
{"title":"Digital Influence: Examining Social Media Marketing Dynamics and How They Affect Consumer Brand Loyalty","authors":"Muhammad Adnan Bashir, U. Saraih, R. Gundala, Junaid Ansari, Muhammad Azeem Qureshi, Shiraz Ahmed","doi":"10.37394/23207.2024.21.128","DOIUrl":"https://doi.org/10.37394/23207.2024.21.128","url":null,"abstract":"Social media is becoming a medium of choice for businesses to interact with their potential and current customers to establish brand loyalty and grow customer trust in the digital age. This study investigates the complex relationship between social media marketing and its impact on consumer trust and loyalty to brands. A conceptual framework is developed based on the past literature to quantitatively measure the impact of social media marketing on brand trust and customer loyalty (cognitive, affective, conative, and action loyalty). Data was collected from 315 users of a fashion brand that they like and follow on social media. PLS-SEM was used to assess the proposed relationships. The findings of the study reveal that social media marketing significantly impacts brand trust and brand loyalty and its dimensions such as cognitive, affective, conative, and action loyalty. The findings of this study offer insightful information for marketers looking to use the power of social media marketing to increase customer trust and loyalty. The results highlight the necessity for a comprehensive strategy that goes beyond simple promotional content and emphasizes developing deep connections with customers to build trust and shaping loyalty in the digital environment.","PeriodicalId":39427,"journal":{"name":"WSEAS Transactions on Business and Economics","volume":"18 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141652583","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 : 2024-07-12DOI: 10.37394/23207.2024.21.130
Ellya Susilowati, Subur Karyatun, E. Saratian, Mochamad Soelton, Nike Vonika
Orphanages or Children’s Orphanages are also (LKSA) Institutions for Child Welfare which are charitable, nonprofit organizations that provide shelter, instruction, and care for abandoned, orphaned, and orphans. The role of a Child Welfare Institution is not only as a childcare institution in institution but also as a gatekeeper. In the Social Welfare Institutions in the Malang Regency, this study seeks to ascertain and examine the relationship between employee engagement and burnout, with work stress serving as a mediating variable. 22 Social Welfare Institutions make up the study’s sample. In this study, researchers used a sample of 66 carers. The Structural Equation Model (SEM) using the Partial Least Square (PLS) analysis tool was employed in this study’s analysis. The gathering of information technique was conducted by a questionnaire. The study’s findings show that employee involvement and quality assurance have negative and substantial effects on burnout, while quality assurance has a negative and significant impact on job stress, and employee engagement negatively and significantly impacts how stressful a job is. negatively and not significant impact, job stress has an important and favorable impact, job stress can moderate the impact of employee involvement on burnout but cannot mediate the impact of quality assurance on burnout.
{"title":"Quality Assurance Model To Minimize Stress and Burnout Behavior in Social Welfare Institution","authors":"Ellya Susilowati, Subur Karyatun, E. Saratian, Mochamad Soelton, Nike Vonika","doi":"10.37394/23207.2024.21.130","DOIUrl":"https://doi.org/10.37394/23207.2024.21.130","url":null,"abstract":"Orphanages or Children’s Orphanages are also (LKSA) Institutions for Child Welfare which are charitable, nonprofit organizations that provide shelter, instruction, and care for abandoned, orphaned, and orphans. The role of a Child Welfare Institution is not only as a childcare institution in institution but also as a gatekeeper. In the Social Welfare Institutions in the Malang Regency, this study seeks to ascertain and examine the relationship between employee engagement and burnout, with work stress serving as a mediating variable. 22 Social Welfare Institutions make up the study’s sample. In this study, researchers used a sample of 66 carers. The Structural Equation Model (SEM) using the Partial Least Square (PLS) analysis tool was employed in this study’s analysis. The gathering of information technique was conducted by a questionnaire. The study’s findings show that employee involvement and quality assurance have negative and substantial effects on burnout, while quality assurance has a negative and significant impact on job stress, and employee engagement negatively and significantly impacts how stressful a job is. negatively and not significant impact, job stress has an important and favorable impact, job stress can moderate the impact of employee involvement on burnout but cannot mediate the impact of quality assurance on burnout.","PeriodicalId":39427,"journal":{"name":"WSEAS Transactions on Business and Economics","volume":"53 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141653938","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 : 2024-07-12DOI: 10.37394/23207.2024.21.129
F. Z. Meskini, Youssef Lamrani Alaoui, R. Aboulaich
In this work, we suggest studying the barriers that prevent from using blockchain technology and smart contracts in the insurance sector. It is possible to improve many services, by introducing ""Fintech"" information technologies which will ensure maximum transparency and speed. The goal of our paper is to answer two main questions: What obstacles stand in the way of the successful use of blockchain technology throughout the insurance sector? Which of them are the most notable obstacles that require decision-makers consideration?. We opt for an analysis of the barriers to blockchain adoption using fuzzy logic for the following reasons. In many realistic situations, it is difficult to gather the exact assessment data; the assessment is based mainly on the decision makers’ knowledge and their experiences using linguistic terms or sentences in a natural or artificial language. The idea is to transform the linguistic variables into fuzzy sets using appropriate membership functions. In other words, fuzzy logic allows a better representation of the uncertainty and subjectivity of decision-makers. In our study, we analyze the answers of twenty experts, - highly skilled professionals with advanced knowledge acquired through education and experience-, about the most significant barriers to blockchain adoption in an interval-valued intuitionistic fuzzy environment. Then, by making use of decision-making tools such as IVIF TOPSIS, we make a ranking of barriers according to their importance to find the most important factors that influence the adoption of blockchain technology. This study’s goal is to propose a model for identifying and tracking the crucial elements that influence managers’ decisions on whether to adopt a financial technology like blockchain in their businesses or not. In the end, we conclude with some recommendations and suggestions to overcome the most important barriers and face future challenges.
{"title":"Evaluating Barriers to Blockchain Adoption in the Insurance Sector using Interval-Valued Intuitionistic Fuzzy TOPSIS","authors":"F. Z. Meskini, Youssef Lamrani Alaoui, R. Aboulaich","doi":"10.37394/23207.2024.21.129","DOIUrl":"https://doi.org/10.37394/23207.2024.21.129","url":null,"abstract":"In this work, we suggest studying the barriers that prevent from using blockchain technology and smart contracts in the insurance sector. It is possible to improve many services, by introducing \"\"Fintech\"\" information technologies which will ensure maximum transparency and speed. The goal of our paper is to answer two main questions: What obstacles stand in the way of the successful use of blockchain technology throughout the insurance sector? Which of them are the most notable obstacles that require decision-makers consideration?. We opt for an analysis of the barriers to blockchain adoption using fuzzy logic for the following reasons. In many realistic situations, it is difficult to gather the exact assessment data; the assessment is based mainly on the decision makers’ knowledge and their experiences using linguistic terms or sentences in a natural or artificial language. The idea is to transform the linguistic variables into fuzzy sets using appropriate membership functions. In other words, fuzzy logic allows a better representation of the uncertainty and subjectivity of decision-makers. In our study, we analyze the answers of twenty experts, - highly skilled professionals with advanced knowledge acquired through education and experience-, about the most significant barriers to blockchain adoption in an interval-valued intuitionistic fuzzy environment. Then, by making use of decision-making tools such as IVIF TOPSIS, we make a ranking of barriers according to their importance to find the most important factors that influence the adoption of blockchain technology. This study’s goal is to propose a model for identifying and tracking the crucial elements that influence managers’ decisions on whether to adopt a financial technology like blockchain in their businesses or not. In the end, we conclude with some recommendations and suggestions to overcome the most important barriers and face future challenges.","PeriodicalId":39427,"journal":{"name":"WSEAS Transactions on Business and Economics","volume":"53 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141652693","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 : 2024-07-12DOI: 10.37394/23207.2024.21.127
K. M. S. Uddin, Mohammad Rakibul Islam Bhuiyan, Marufa Hamid
The research intends to determine the influential factors of individual willingness to use digital health services in Bangladesh. The quantitative research method was conducted to obtain the purposes of this study. To collect primary data, a questionnaire link and direct interaction with a purposive sample of 300 people were used. The sample for this study was made up of people who use digital health services. The study discovered that six factors, totaling 24 items, influence Bangladeshis’ acceptance of digital health services. The reliability test for 24 variables and 6 determinants is reliable because Cronbach’s alpha is 0.569, which is greater than the standard 0.5. This study discovered a positive correlation between social and cultural, technological, economic, convenience, security, and perceived utility using a two-tailed test with a significance level of 0.01 or less. The study found that economic advantages and technology literacy understanding greatly influence digital health care acceptability, with greater statistically significant outcomes than other determinant factors. Policymakers, healthcare practitioners, and technology developers can use the data to customize their plans and solutions to Bangladeshi requirements. Promoting positive perceptions and removing barriers will increase digital health service use in Bangladesh, increasing healthcare outcomes and accessibility.
{"title":"Perception towards the Acceptance of Digital Health Services among the People of Bangladesh","authors":"K. M. S. Uddin, Mohammad Rakibul Islam Bhuiyan, Marufa Hamid","doi":"10.37394/23207.2024.21.127","DOIUrl":"https://doi.org/10.37394/23207.2024.21.127","url":null,"abstract":"The research intends to determine the influential factors of individual willingness to use digital health services in Bangladesh. The quantitative research method was conducted to obtain the purposes of this study. To collect primary data, a questionnaire link and direct interaction with a purposive sample of 300 people were used. The sample for this study was made up of people who use digital health services. The study discovered that six factors, totaling 24 items, influence Bangladeshis’ acceptance of digital health services. The reliability test for 24 variables and 6 determinants is reliable because Cronbach’s alpha is 0.569, which is greater than the standard 0.5. This study discovered a positive correlation between social and cultural, technological, economic, convenience, security, and perceived utility using a two-tailed test with a significance level of 0.01 or less. The study found that economic advantages and technology literacy understanding greatly influence digital health care acceptability, with greater statistically significant outcomes than other determinant factors. Policymakers, healthcare practitioners, and technology developers can use the data to customize their plans and solutions to Bangladeshi requirements. Promoting positive perceptions and removing barriers will increase digital health service use in Bangladesh, increasing healthcare outcomes and accessibility.","PeriodicalId":39427,"journal":{"name":"WSEAS Transactions on Business and Economics","volume":"45 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141654731","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 : 2024-07-05DOI: 10.37394/23207.2024.21.126
Rosario Pariona-Luque, Alex Pacheco, Edwin Vegas-Gallo, R. Castanho, Fabian Lema, Liz Pacheco-Pumaleque, Marco Añaños-Bedriñana, Wilson Marin, Edwin Felix-Poicon, Ana Loures
Nowadays, implementing data analytics is necessary to improve the collection, evaluation, analysis, and organization of data that allow the discovery of patterns, correlations, and trends that improve knowledge management, development of strategies, and decision-making in the organization. Therefore, this study aims to provide an accurate and detailed assessment of the current state of data analytics in the retail sector, identifying specific areas of improvement to strengthen knowledge management in organizations. The research is applied with a quantitative approach and non-experimental design at a descriptive and propositional level. The survey technique was used, and as a data collection instrument, a questionnaire addressed to 351 employees of companies in the retail sector concerning the variable data analysis with the dimensions of data extraction, predictive analysis, and machine learning and the variable management of the knowledge with the dimensions knowledge creation and knowledge storage. The results show that 52.99% of collaborators indicate that the level of data extraction is terrible, 57.83% indicate that the level of predictive analysis is wrong, and 54.99% express that the level of machine learning is average, which contributes to the implementation of innovative resources and solutions that promote the inclusion of a high-tech approach to address information management problems and contribution to the development of knowledge in an institution.
{"title":"Assessing Data Analytics Capabilities in Retail Organizations: Insights into Mining, Predictive Analytics and Machine Learning","authors":"Rosario Pariona-Luque, Alex Pacheco, Edwin Vegas-Gallo, R. Castanho, Fabian Lema, Liz Pacheco-Pumaleque, Marco Añaños-Bedriñana, Wilson Marin, Edwin Felix-Poicon, Ana Loures","doi":"10.37394/23207.2024.21.126","DOIUrl":"https://doi.org/10.37394/23207.2024.21.126","url":null,"abstract":"Nowadays, implementing data analytics is necessary to improve the collection, evaluation, analysis, and organization of data that allow the discovery of patterns, correlations, and trends that improve knowledge management, development of strategies, and decision-making in the organization. Therefore, this study aims to provide an accurate and detailed assessment of the current state of data analytics in the retail sector, identifying specific areas of improvement to strengthen knowledge management in organizations. The research is applied with a quantitative approach and non-experimental design at a descriptive and propositional level. The survey technique was used, and as a data collection instrument, a questionnaire addressed to 351 employees of companies in the retail sector concerning the variable data analysis with the dimensions of data extraction, predictive analysis, and machine learning and the variable management of the knowledge with the dimensions knowledge creation and knowledge storage. The results show that 52.99% of collaborators indicate that the level of data extraction is terrible, 57.83% indicate that the level of predictive analysis is wrong, and 54.99% express that the level of machine learning is average, which contributes to the implementation of innovative resources and solutions that promote the inclusion of a high-tech approach to address information management problems and contribution to the development of knowledge in an institution.","PeriodicalId":39427,"journal":{"name":"WSEAS Transactions on Business and Economics","volume":" 32","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141673280","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 : 2024-07-05DOI: 10.37394/23207.2024.21.125
I. Akintoye, Charles Ogboi, P. Ogbebor, Olurotimi Ogunwale
The research investigated the effect financial consolidation has on the performance of Nigerian insurance firms covering the period 2011 to 2022 utilizing the feasible generalized least squares (FGLS) on selected five insurance organizations. Key variables used in the analysis included financial consolidation measured by merger and acquisition (M&A), Herfindahl-Hirschman index (HHI), and concentration underwriting capacity (CUC), while performance was captured by equity return (ROE). Findings revealed that M&A and HHI both positively and significantly affect ROE. However, CUC had positively insignificant effect on ROE. The study then recommended that policymakers and industry stakeholders should focus on improving financial consolidation to support economic growth and improve firm-level performance.
{"title":"Financial Consolidation and Financial Performance of Insurance Companies in Nigeria","authors":"I. Akintoye, Charles Ogboi, P. Ogbebor, Olurotimi Ogunwale","doi":"10.37394/23207.2024.21.125","DOIUrl":"https://doi.org/10.37394/23207.2024.21.125","url":null,"abstract":"The research investigated the effect financial consolidation has on the performance of Nigerian insurance firms covering the period 2011 to 2022 utilizing the feasible generalized least squares (FGLS) on selected five insurance organizations. Key variables used in the analysis included financial consolidation measured by merger and acquisition (M&A), Herfindahl-Hirschman index (HHI), and concentration underwriting capacity (CUC), while performance was captured by equity return (ROE). Findings revealed that M&A and HHI both positively and significantly affect ROE. However, CUC had positively insignificant effect on ROE. The study then recommended that policymakers and industry stakeholders should focus on improving financial consolidation to support economic growth and improve firm-level performance.","PeriodicalId":39427,"journal":{"name":"WSEAS Transactions on Business and Economics","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674165","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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