Pub Date : 2024-01-07DOI: 10.47654/v27y2023i3p46-71
Herman Herman, Osamah Ibrahim Khalaf
Purpose: Decision Science is important in many fields, including education. In the current educational landscape, as educational processes evolve to meet the challenges of the fourth industrial revolution, this study utilizes a well-established impact factor, academic supervision, to enhance teacher performance. The expectations of school principals are considered critical factors in the implementation of decision supervisors. This study underscores the significance of elements influencing the improvement of teacher performance, with a focus on planning, decision-making, and implementation pressures within the context of academic supervision. Design/methodology/approach: This study employs a case study approach and collects data through interviews, observations, and document analysis. Data were analyzed by transcribing, taking notes, recording videos, and examining documents to generate ideas, codify data, develop themes, interpret the information, and draw conclusions. Findings: The study's findings reveal that the planning expectations for an academic supervision program decision are high and sufficient to consider the needs of teachers, involve all school apparatus components, and integrate the program with other activities. The expectations for making decisions and implementing the academic supervision program are met by fostering solid teamwork, increasing the frequency of classroom supervision visits, advancing the profession, and instilling a professional attitude among teachers. However, in terms of reviewing decisions, discussing them, seeking improvement solutions, and enhancing teacher performance, the evaluation expectations and follow-up results of academic supervision still need improvement. The findings of this study suggest that the decision-making expectations of principals as supervisors are crucial for decision performance and the success of academic supervision programs designed to make decisions and improve teacher performance. Originality/value: Considering the time constraints of this study, future researchers should explore school principals' expectations as supervisors in greater depth, especially concerning decision-making and the improvement of teacher performance. Practical implications: This study benefits school principals in their roles as decision-makers and supervisors, encompassing planning, implementation, and the monitoring of academic supervision decisions. It also covers outcomes such as reviews, discussions, and proposed solutions for enhancing teacher performance, with indirect implications for student learning.
{"title":"Evidence from School Principals: Academic Supervision Decision-making on Improving Teacher Performance in Indonesia","authors":"Herman Herman, Osamah Ibrahim Khalaf","doi":"10.47654/v27y2023i3p46-71","DOIUrl":"https://doi.org/10.47654/v27y2023i3p46-71","url":null,"abstract":"Purpose: Decision Science is important in many fields, including education. In the current educational landscape, as educational processes evolve to meet the challenges of the fourth industrial revolution, this study utilizes a well-established impact factor, academic supervision, to enhance teacher performance. The expectations of school principals are considered critical factors in the implementation of decision supervisors. This study underscores the significance of elements influencing the improvement of teacher performance, with a focus on planning, decision-making, and implementation pressures within the context of academic supervision.\u0000Design/methodology/approach: This study employs a case study approach and collects data through interviews, observations, and document analysis. Data were analyzed by transcribing, taking notes, recording videos, and examining documents to generate ideas, codify data, develop themes, interpret the information, and draw conclusions.\u0000Findings: The study's findings reveal that the planning expectations for an academic supervision program decision are high and sufficient to consider the needs of teachers, involve all school apparatus components, and integrate the program with other activities. The expectations for making decisions and implementing the academic supervision program are met by fostering solid teamwork, increasing the frequency of classroom supervision visits, advancing the profession, and instilling a professional attitude among teachers. However, in terms of reviewing decisions, discussing them, seeking improvement solutions, and enhancing teacher performance, the evaluation expectations and follow-up results of academic supervision still need improvement. The findings of this study suggest that the decision-making expectations of principals as supervisors are crucial for decision performance and the success of academic supervision programs designed to make decisions and improve teacher performance.\u0000Originality/value: Considering the time constraints of this study, future researchers should explore school principals' expectations as supervisors in greater depth, especially concerning decision-making and the improvement of teacher performance.\u0000Practical implications: This study benefits school principals in their roles as decision-makers and supervisors, encompassing planning, implementation, and the monitoring of academic supervision decisions. It also covers outcomes such as reviews, discussions, and proposed solutions for enhancing teacher performance, with indirect implications for student learning.","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"24 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139448711","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 : 2023-11-23DOI: 10.47654/v27y2023i3p14-45
Chong-Chuo Chang, Lin Lin, Yu-Cheng Chang, Kun-Zhan Hsu
Purpose: This study investigates the impact of financial liberalization on firm risk and examines the relationship between liberalization and firm risk from a global perspective by using three different measures of financial liberalization to analyze the entire sample as well as four different subsamples by using firms from different countries as our samples. Design/methodology/approach: We use the pooled ordinary least squared (OLS) regression model and a series of robustness checks to conduct our analysis by using our sample that includes 63 countries, 18,317 firms, and 161,317 firm-year observations from 1991–2017. Findings: Our empirical analysis concludes that financial liberalization has a significantly negative effect on firm risk. Following a series of robustness checks, we find that the results remain unchanged after categorizing our sample into subsamples according to the level of financial liberalization, controlling for changes in the economic development status, and dividing the sample periods based on the time of the financial crises. Moreover, the quantile regression reveals the asymmetric effect of financial liberalization on firm risk. The findings of our study contribute to a clear perception of how financial liberalization affects firm risk. Originality/value: In this paper, we use the data from multination to know clearly how different countries respond to the financial liberalization policies which may affect the firm risk. Then, we conduct a series of robustness checks to make sure that our result is robust. According to the result, we can see that the negative significant relationship between financial liberalization and firm risk remains unchanged after categorizing our sample into subsamples according to the level of financial liberalization, controlling for changes in the economic development status, and dividing the sample periods based on the time of the financial crises. Furthermore, the quantile regression reveals the asymmetric effect of financial liberalization on firm risk. We note that our findings are new in the literature. Practical Implication: The findings of our paper give suggestions to multinational corporations regarding the proper management of corporate finance in response to adjustments in financial liberalization policies.
{"title":"Impact of Financial Liberalization on Firm Risk","authors":"Chong-Chuo Chang, Lin Lin, Yu-Cheng Chang, Kun-Zhan Hsu","doi":"10.47654/v27y2023i3p14-45","DOIUrl":"https://doi.org/10.47654/v27y2023i3p14-45","url":null,"abstract":"Purpose: This study investigates the impact of financial liberalization on firm risk and examines the relationship between liberalization and firm risk from a global perspective by using three different measures of financial liberalization to analyze the entire sample as well as four different subsamples by using firms from different countries as our samples. Design/methodology/approach: We use the pooled ordinary least squared (OLS) regression model and a series of robustness checks to conduct our analysis by using our sample that includes 63 countries, 18,317 firms, and 161,317 firm-year observations from 1991–2017. Findings: Our empirical analysis concludes that financial liberalization has a significantly negative effect on firm risk. Following a series of robustness checks, we find that the results remain unchanged after categorizing our sample into subsamples according to the level of financial liberalization, controlling for changes in the economic development status, and dividing the sample periods based on the time of the financial crises. Moreover, the quantile regression reveals the asymmetric effect of financial liberalization on firm risk. The findings of our study contribute to a clear perception of how financial liberalization affects firm risk. Originality/value: In this paper, we use the data from multination to know clearly how different countries respond to the financial liberalization policies which may affect the firm risk. Then, we conduct a series of robustness checks to make sure that our result is robust. According to the result, we can see that the negative significant relationship between financial liberalization and firm risk remains unchanged after categorizing our sample into subsamples according to the level of financial liberalization, controlling for changes in the economic development status, and dividing the sample periods based on the time of the financial crises. Furthermore, the quantile regression reveals the asymmetric effect of financial liberalization on firm risk. We note that our findings are new in the literature. Practical Implication: The findings of our paper give suggestions to multinational corporations regarding the proper management of corporate finance in response to adjustments in financial liberalization policies.","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"69 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139245977","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 : 2023-10-03DOI: 10.47654/v25y2021i3p1-13
Mohammed Bouasabah, Oshamah Ibrahim Khalaf
Purpose: The objective is to employ a stochastic model to develop a new technical analysis indicator that could compute the variation of any index. We demonstrate the superiority and applicability of our proposed model and show that our proposed indicator could help investors and market analysts to anticipate the market trend in the short term and make better trading decisions by using our proposed model to analyze the variation of the NASDAQ Composite Index (IXIC). Design/methodology/approach: This study uses a stochastic process without mean-reverting property to develop a stochastic model that could compute the variation of any index. To show the superiority and applicability of our proposed model in computing the variation of any index, we employ our proposed model to compute the daily closing values of the IXIC over 10 years and derive the variation of the IXIC index. Findings: Our findings indicate that, based on the mean absolute percentage error, the calibrated model we proposed provides a more accurate estimate of the short-term index that outperforms both the simple moving average and the MACD in predictive accuracy. It delivers a robust anticipation of the overall market trend by offering a 95% confidence interval for the value of the composite NASDAQ index. Practical Implications: Our proposed indicator could help investors and market analysts to anticipate the market trend in the short term and make better trading decisions. Our proposed model provides market analysts with a forecasting tool by using our proposed technical analysis indicator to anticipate the market trend, which outperforms some traditional indicators of technical analysis, including Simple Moving Averages and Moving Average Convergence Divergence. Originality/value: Our approach, results, and conclusions are original and new in the literature. Our proposed model is a new technical indicator for predicting any index based on a stochastic process, which has been found to outperform some classical indicators. This research makes significant contributions to the field of decision sciences because the indicator we have developed plays a crucial role. It enables better buying and selling decisions based on market trend predictions estimated by using our proposed model. In this way, the indicator offers added value to professionals in making investment decisions. The results of this research work contribute to the development of new technical analysis indicators. Here, the IXIC index is an example, the use of this indicator is wider and could concern any stock market index and any share. So, this work enriches the literature and opens up new avenues for any researcher who wants to use stochastic processes to develop new technical indicators for different financial assets.
{"title":"A Technical Indicator for a Short-term Trading Decision in the NASDAQ Market","authors":"Mohammed Bouasabah, Oshamah Ibrahim Khalaf","doi":"10.47654/v25y2021i3p1-13","DOIUrl":"https://doi.org/10.47654/v25y2021i3p1-13","url":null,"abstract":"Purpose: The objective is to employ a stochastic model to develop a new technical analysis indicator that could compute the variation of any index. We demonstrate the superiority and applicability of our proposed model and show that our proposed indicator could help investors and market analysts to anticipate the market trend in the short term and make better trading decisions by using our proposed model to analyze the variation of the NASDAQ Composite Index (IXIC). Design/methodology/approach: This study uses a stochastic process without mean-reverting property to develop a stochastic model that could compute the variation of any index. To show the superiority and applicability of our proposed model in computing the variation of any index, we employ our proposed model to compute the daily closing values of the IXIC over 10 years and derive the variation of the IXIC index. Findings: Our findings indicate that, based on the mean absolute percentage error, the calibrated model we proposed provides a more accurate estimate of the short-term index that outperforms both the simple moving average and the MACD in predictive accuracy. It delivers a robust anticipation of the overall market trend by offering a 95% confidence interval for the value of the composite NASDAQ index. Practical Implications: Our proposed indicator could help investors and market analysts to anticipate the market trend in the short term and make better trading decisions. Our proposed model provides market analysts with a forecasting tool by using our proposed technical analysis indicator to anticipate the market trend, which outperforms some traditional indicators of technical analysis, including Simple Moving Averages and Moving Average Convergence Divergence. Originality/value: Our approach, results, and conclusions are original and new in the literature. Our proposed model is a new technical indicator for predicting any index based on a stochastic process, which has been found to outperform some classical indicators. This research makes significant contributions to the field of decision sciences because the indicator we have developed plays a crucial role. It enables better buying and selling decisions based on market trend predictions estimated by using our proposed model. In this way, the indicator offers added value to professionals in making investment decisions. The results of this research work contribute to the development of new technical analysis indicators. Here, the IXIC index is an example, the use of this indicator is wider and could concern any stock market index and any share. So, this work enriches the literature and opens up new avenues for any researcher who wants to use stochastic processes to develop new technical indicators for different financial assets.","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135738578","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 : 2023-09-27DOI: 10.47654/v27y2023i2p166-195
Xiuqun Chen, Shun-Chi Yu, Xuemei Sun, Dan Wang
Purpose: The study aims to investigate the role of different brand communication types on customer commitment and the impact of perceived fit on the bond between brand communication and brand trust in the context of China's international schools. This work offers profound insights into brand trust and communication strategies for brand decision-makers which directly shape customer commitment, a key aspect of the decision-making process. Design/methodology/approach: Employing quantitative analysis, this study surveyed 318 parents of students from 6 international schools in China, constructing an SEM-PLS model to validate the influences of brand communication, perception of fit, and brand trust on customer commitment. Findings: The research uncovered that controllable brand communication positively affects customer commitment via the mechanism of brand trust, while uncontrollable brand communication does not directly influence affective commitment. The mediation role of brand trust and affective commitment between brand communication and sustained commitment is observed. Perceived fit serves as a moderator in the relationship between brand communication and brand trust. Practical Implications: Our findings empirically unravel the core determinants for the future development of international schools in China. Originality/value: What sets this study apart is its empirical focus on China's international schools sector, an area not thoroughly explored in the existing literature. It bolsters the extant knowledge of brand relationship marketing, providing comprehensive insights into the interplay of brand communication, brand trust, and customer commitment. This paper emphasizes the vitality of effective brand management for gaining a competitive edge and achieving customer fit in the modern market, thereby offering invaluable implications for decision-makers in making scientifically informed brand management decisions.
{"title":"Investigating the Influence of Brand Communication and Brand Trust on Customer Commitment: An Examination from the Perspective of Customer Perception","authors":"Xiuqun Chen, Shun-Chi Yu, Xuemei Sun, Dan Wang","doi":"10.47654/v27y2023i2p166-195","DOIUrl":"https://doi.org/10.47654/v27y2023i2p166-195","url":null,"abstract":"Purpose: The study aims to investigate the role of different brand communication types on customer commitment and the impact of perceived fit on the bond between brand communication and brand trust in the context of China's international schools. This work offers profound insights into brand trust and communication strategies for brand decision-makers which directly shape customer commitment, a key aspect of the decision-making process.\u0000Design/methodology/approach: Employing quantitative analysis, this study surveyed 318 parents of students from 6 international schools in China, constructing an SEM-PLS model to validate the influences of brand communication, perception of fit, and brand trust on customer commitment.\u0000Findings: The research uncovered that controllable brand communication positively affects customer commitment via the mechanism of brand trust, while uncontrollable brand communication does not directly influence affective commitment. The mediation role of brand trust and affective commitment between brand communication and sustained commitment is observed. Perceived fit serves as a moderator in the relationship between brand communication and brand trust.\u0000Practical Implications: Our findings empirically unravel the core determinants for the future development of international schools in China.\u0000Originality/value: What sets this study apart is its empirical focus on China's international schools sector, an area not thoroughly explored in the existing literature. It bolsters the extant knowledge of brand relationship marketing, providing comprehensive insights into the interplay of brand communication, brand trust, and customer commitment. This paper emphasizes the vitality of effective brand management for gaining a competitive edge and achieving customer fit in the modern market, thereby offering invaluable implications for decision-makers in making scientifically informed brand management decisions.","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135535659","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 : 2023-01-01DOI: 10.47654/v27y2023i2p28-45
{"title":"Impact of Factors on Students' E-Learning Outcomes: \u0000Evidence from Pedagogical Universities in Vietnam with Applications in Decision Sciences","authors":"","doi":"10.47654/v27y2023i2p28-45","DOIUrl":"https://doi.org/10.47654/v27y2023i2p28-45","url":null,"abstract":"","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70854528","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 : 2023-01-01DOI: 10.47654/v27y2023i1p1-22
{"title":"Impact of cashless bank payments on economic growth: Evidence from G7 countries","authors":"","doi":"10.47654/v27y2023i1p1-22","DOIUrl":"https://doi.org/10.47654/v27y2023i1p1-22","url":null,"abstract":"","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70854652","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 : 2023-01-01DOI: 10.47654/v27y2023i2p122-144
{"title":"National Culture as a Determinant of Corporate Capital Structure: Empirical Evidence from Three Emerging Economies","authors":"","doi":"10.47654/v27y2023i2p122-144","DOIUrl":"https://doi.org/10.47654/v27y2023i2p122-144","url":null,"abstract":"","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135557436","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 : 2023-01-01DOI: 10.47654/v27y2023i2p46-74
{"title":"Bibliometric Characteristics of Cryptocurrency through Citation Network Analysis","authors":"","doi":"10.47654/v27y2023i2p46-74","DOIUrl":"https://doi.org/10.47654/v27y2023i2p46-74","url":null,"abstract":"","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70854622","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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