Pub Date : 2024-02-04DOI: 10.24018/ejbmr.2024.9.1.2172
I. D. G. A. Dwipayana, I. Suwandana
Employee job satisfaction is one of the things that the South Kuta District Office pays attention to, especially for Non-Civil Servant Employees who work there. This has prompted researchers to examine the job satisfaction of non-civil servants at the South Kuta District Office. The sample in this study was 53 people or all non-civil servant government employees at the South Kuta district office. The sampling technique uses saturated sampling. The researcher uses the saturated sample technique because the population is more than adequate, and all employees in the company are considered to be able to be used as research samples. Data was analyzed using path analysis. The result is considered imperfect due to the small population of the research location. This research was carried out at the South Kuta sub-district office, where the object was limited to one sub-district. The weakness in this study also lies in the results where independent variables can affect dependent variables with 38.7%. The value of the influence in this study is considered to be small. The research found that Role conflict significantly affects job satisfaction and job stress. Job stress also significantly affects job satisfaction and has indirect effects on role conflict toward job satisfaction.
{"title":"Role of Job Stress in Mediating the Influence of Role Conflict on Job Satisfaction of South Kuta District Office Employees","authors":"I. D. G. A. Dwipayana, I. Suwandana","doi":"10.24018/ejbmr.2024.9.1.2172","DOIUrl":"https://doi.org/10.24018/ejbmr.2024.9.1.2172","url":null,"abstract":" Employee job satisfaction is one of the things that the South Kuta District Office pays attention to, especially for Non-Civil Servant Employees who work there. This has prompted researchers to examine the job satisfaction of non-civil servants at the South Kuta District Office. The sample in this study was 53 people or all non-civil servant government employees at the South Kuta district office. The sampling technique uses saturated sampling. The researcher uses the saturated sample technique because the population is more than adequate, and all employees in the company are considered to be able to be used as research samples. Data was analyzed using path analysis. The result is considered imperfect due to the small population of the research location. This research was carried out at the South Kuta sub-district office, where the object was limited to one sub-district. The weakness in this study also lies in the results where independent variables can affect dependent variables with 38.7%. The value of the influence in this study is considered to be small. The research found that Role conflict significantly affects job satisfaction and job stress. Job stress also significantly affects job satisfaction and has indirect effects on role conflict toward job satisfaction.","PeriodicalId":503831,"journal":{"name":"European Journal of Business and Management Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139866364","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 : 2024-02-04DOI: 10.24018/ejbmr.2024.9.1.2172
I. D. G. A. Dwipayana, I. Suwandana
Employee job satisfaction is one of the things that the South Kuta District Office pays attention to, especially for Non-Civil Servant Employees who work there. This has prompted researchers to examine the job satisfaction of non-civil servants at the South Kuta District Office. The sample in this study was 53 people or all non-civil servant government employees at the South Kuta district office. The sampling technique uses saturated sampling. The researcher uses the saturated sample technique because the population is more than adequate, and all employees in the company are considered to be able to be used as research samples. Data was analyzed using path analysis. The result is considered imperfect due to the small population of the research location. This research was carried out at the South Kuta sub-district office, where the object was limited to one sub-district. The weakness in this study also lies in the results where independent variables can affect dependent variables with 38.7%. The value of the influence in this study is considered to be small. The research found that Role conflict significantly affects job satisfaction and job stress. Job stress also significantly affects job satisfaction and has indirect effects on role conflict toward job satisfaction.
{"title":"Role of Job Stress in Mediating the Influence of Role Conflict on Job Satisfaction of South Kuta District Office Employees","authors":"I. D. G. A. Dwipayana, I. Suwandana","doi":"10.24018/ejbmr.2024.9.1.2172","DOIUrl":"https://doi.org/10.24018/ejbmr.2024.9.1.2172","url":null,"abstract":" Employee job satisfaction is one of the things that the South Kuta District Office pays attention to, especially for Non-Civil Servant Employees who work there. This has prompted researchers to examine the job satisfaction of non-civil servants at the South Kuta District Office. The sample in this study was 53 people or all non-civil servant government employees at the South Kuta district office. The sampling technique uses saturated sampling. The researcher uses the saturated sample technique because the population is more than adequate, and all employees in the company are considered to be able to be used as research samples. Data was analyzed using path analysis. The result is considered imperfect due to the small population of the research location. This research was carried out at the South Kuta sub-district office, where the object was limited to one sub-district. The weakness in this study also lies in the results where independent variables can affect dependent variables with 38.7%. The value of the influence in this study is considered to be small. The research found that Role conflict significantly affects job satisfaction and job stress. Job stress also significantly affects job satisfaction and has indirect effects on role conflict toward job satisfaction.","PeriodicalId":503831,"journal":{"name":"European Journal of Business and Management Research","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139806540","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 : 2024-01-30DOI: 10.24018/ejbmr.2024.9.1.2181
Irfan Naufaldi, Y. Sunitiyoso
Nowadays, energy transition is one of the major events faced by coal producers, particularly Indonesian coal producers. PT ABCoal is one of the largest coal producers in Indonesia. Based on the company’s 5-year plan, PT ABCoal is expected to increase its production volume from 25 to 30 million metric tons to around 35 to 45 million metric tons. Within the export market, most of the sales (around 50%) were sold to the Chinese market through off-takers. Meanwhile, the 25% for the domestic market is obliged by the Indonesian government regulation and is not negotiable. This research aimed to understand the future condition of the coal market within the next five years and what scenario would likely happen in the next five years. Afterward, it would try to provide the coal sales strategy that will fit into those scenarios using explorative scenario planning with expert interviews to obtain the perspective and knowledge from an interviewee who has expertise in this field. The obtained answers are then mapped into the PESTLE analysis framework to obtain more understanding and collect thorough driving forces data. The critical impact and high uncertainty were determined through qualitative-quantitative analysis from interview results using content analysis. Based on the analysis in this research, it is concluded that the top driving forces that are being used for scenario elements are coal price and government regulation. This research creates four scenarios that are called business as usual, finding a new home, home sweet home, and more is better. Each scenario needs a different approach to coal sales strategy to optimize its revenue and ensure the sustainability of its selling operation. The coal sales strategy optimization for each scenario is based on domestic and export composition, preferable domestic industry target composition, and developing-country export composition.
{"title":"Scenario Planning Approach of Coal Market Sales on PT ABCoal Towards Energy Transitions Era","authors":"Irfan Naufaldi, Y. Sunitiyoso","doi":"10.24018/ejbmr.2024.9.1.2181","DOIUrl":"https://doi.org/10.24018/ejbmr.2024.9.1.2181","url":null,"abstract":"Nowadays, energy transition is one of the major events faced by coal producers, particularly Indonesian coal producers. PT ABCoal is one of the largest coal producers in Indonesia. Based on the company’s 5-year plan, PT ABCoal is expected to increase its production volume from 25 to 30 million metric tons to around 35 to 45 million metric tons. Within the export market, most of the sales (around 50%) were sold to the Chinese market through off-takers. Meanwhile, the 25% for the domestic market is obliged by the Indonesian government regulation and is not negotiable. This research aimed to understand the future condition of the coal market within the next five years and what scenario would likely happen in the next five years. Afterward, it would try to provide the coal sales strategy that will fit into those scenarios using explorative scenario planning with expert interviews to obtain the perspective and knowledge from an interviewee who has expertise in this field. The obtained answers are then mapped into the PESTLE analysis framework to obtain more understanding and collect thorough driving forces data. The critical impact and high uncertainty were determined through qualitative-quantitative analysis from interview results using content analysis. Based on the analysis in this research, it is concluded that the top driving forces that are being used for scenario elements are coal price and government regulation. This research creates four scenarios that are called business as usual, finding a new home, home sweet home, and more is better. Each scenario needs a different approach to coal sales strategy to optimize its revenue and ensure the sustainability of its selling operation. The coal sales strategy optimization for each scenario is based on domestic and export composition, preferable domestic industry target composition, and developing-country export composition.","PeriodicalId":503831,"journal":{"name":"European Journal of Business and Management Research","volume":"47 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140480304","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 : 2024-01-26DOI: 10.24018/ejbmr.2024.9.1.2204
Yonah Wilamowsky
The Board of Education in New York City typically negotiated three-year contracts with their staff. It was found that costs over the three-year period invariably exceeded projections by 10%–20%. An analysis showed that although the number of employees was relatively constant, the distribution of employees with respect to salary levels had changed significantly. As a result, projections of salary costs were substantially understated. Over the course of the contract term, salaries increased due to longevity and additional employee education. Classic methods for forecasting costs include regression analyses, time series analysis, and simulation methods. Markov chains have also been used to project population changes over time. In this paper, we present a Markov chain model that was successfully used to forecast teacher populations as well as costs with much greater precision than had been possible previously. The model incorporated personnel as well as cost projections. For a given total salary budget, management was thus able to place salary increases in levels so as to keep costs to a minimum. As a result, management was able to obtain significant reductions in labor costs. In addition, the model can help by incorporating issues of diversity and inclusion in the workplace. By being able to track where employees would likely be down the line, a fairer distribution could be achieved.
{"title":"Markovian Approach to Forecasting Personnel Populations and Costs","authors":"Yonah Wilamowsky","doi":"10.24018/ejbmr.2024.9.1.2204","DOIUrl":"https://doi.org/10.24018/ejbmr.2024.9.1.2204","url":null,"abstract":"The Board of Education in New York City typically negotiated three-year contracts with their staff. It was found that costs over the three-year period invariably exceeded projections by 10%–20%. An analysis showed that although the number of employees was relatively constant, the distribution of employees with respect to salary levels had changed significantly. As a result, projections of salary costs were substantially understated. Over the course of the contract term, salaries increased due to longevity and additional employee education. Classic methods for forecasting costs include regression analyses, time series analysis, and simulation methods. Markov chains have also been used to project population changes over time. In this paper, we present a Markov chain model that was successfully used to forecast teacher populations as well as costs with much greater precision than had been possible previously. The model incorporated personnel as well as cost projections. For a given total salary budget, management was thus able to place salary increases in levels so as to keep costs to a minimum. As a result, management was able to obtain significant reductions in labor costs. In addition, the model can help by incorporating issues of diversity and inclusion in the workplace. By being able to track where employees would likely be down the line, a fairer distribution could be achieved.","PeriodicalId":503831,"journal":{"name":"European Journal of Business and Management Research","volume":"8 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140493725","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 : 2024-01-22DOI: 10.24018/ejbmr.2024.9.1.2146
Nicolas Bayu Kristiawan
This study aimed to investigate the influence of ownership concentration and firm size on earnings quality in Indonesian companies. Research about the influence of ownership concentration and firm size on earnings quality still provides mixed results. Therefore, it became important to conduct research about it, especially in the context of Indonesian companies. This study used the alignment effect hypothesis as a basis for hypothesis development. The sample of this study consists of 92 Indonesian companies from 2013–2018, with a total of 522 observations. The data analysis technique is multiple regression analysis. The result of this study showed that ownership concentration had a positive influence on earnings quality. In contrast, firm size had no influence on earnings quality. In conclusion, the result of this study supported the alignment effect hypothesis, stating that the interest of the majority shareholder is aligned with that of the minority shareholder, therefore improving earnings quality.
{"title":"Relationship Between Ownership Concentration, Firm Size, and Earnings Quality in Indonesian Companies","authors":"Nicolas Bayu Kristiawan","doi":"10.24018/ejbmr.2024.9.1.2146","DOIUrl":"https://doi.org/10.24018/ejbmr.2024.9.1.2146","url":null,"abstract":"This study aimed to investigate the influence of ownership concentration and firm size on earnings quality in Indonesian companies. Research about the influence of ownership concentration and firm size on earnings quality still provides mixed results. Therefore, it became important to conduct research about it, especially in the context of Indonesian companies. This study used the alignment effect hypothesis as a basis for hypothesis development. The sample of this study consists of 92 Indonesian companies from 2013–2018, with a total of 522 observations. The data analysis technique is multiple regression analysis. The result of this study showed that ownership concentration had a positive influence on earnings quality. In contrast, firm size had no influence on earnings quality. In conclusion, the result of this study supported the alignment effect hypothesis, stating that the interest of the majority shareholder is aligned with that of the minority shareholder, therefore improving earnings quality.","PeriodicalId":503831,"journal":{"name":"European Journal of Business and Management Research","volume":"262 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140500152","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 : 2024-01-03DOI: 10.24018/ejbmr.2024.9.1.2104
Robbie Arsyadanie, R. A. Rahadi
Financial literacy is the knowledge, skills, and beliefs that influence attitudes and behavior to improve the quality of decision-making and financial management to achieve prosperity. Based on that, this research will examine the relationship between financial literacy level and the retirement readiness of Indonesian Oil and Gas expatriates in Saudi Arabia. This includes emergency funds, investment, and side income ownership of the expatriates. An online survey has been conducted on 84 respondents to measure their financial literacy level. This was followed by an in-depth interview with 11 respondents to dig deeper into their concerns and reasons regarding early retirement. The result shows their financial literacy at 46%, and it is also found that there is a weak relation between financial literacy and early retirement readiness.
{"title":"Financial Literacy and Retirement Readiness for Oil and Gas Indonesian Expatriates in Saudi Arabia","authors":"Robbie Arsyadanie, R. A. Rahadi","doi":"10.24018/ejbmr.2024.9.1.2104","DOIUrl":"https://doi.org/10.24018/ejbmr.2024.9.1.2104","url":null,"abstract":"Financial literacy is the knowledge, skills, and beliefs that influence attitudes and behavior to improve the quality of decision-making and financial management to achieve prosperity. Based on that, this research will examine the relationship between financial literacy level and the retirement readiness of Indonesian Oil and Gas expatriates in Saudi Arabia. This includes emergency funds, investment, and side income ownership of the expatriates. An online survey has been conducted on 84 respondents to measure their financial literacy level. This was followed by an in-depth interview with 11 respondents to dig deeper into their concerns and reasons regarding early retirement. The result shows their financial literacy at 46%, and it is also found that there is a weak relation between financial literacy and early retirement readiness.","PeriodicalId":503831,"journal":{"name":"European Journal of Business and Management Research","volume":"33 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139388379","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 : 2024-01-02DOI: 10.24018/ejbmr.2024.9.1.2180
Peyman Alipour, Sina Esmaeilpour Charandabi
In an attempt to assess the appropriateness of the best-practice lexicon-based approaches as opposed to novel learning-based models to extract the sentiment of textual content in the context of the cryptocurrency market, the current study provides further insights into the association between digital activity and price movement of cryptocurrencies. Using a sample of Bitcoin and Ethereum trade data, this study compares the performance of Harvard IV-4 and BERT models in conjunction with the well-known machine learning classifiers. It examines to what extent learning-based sentiment models can enhance the price movement prediction, compared to lexicon-based approaches, and whether the prediction is improved or impaired by introducing different features as input to the classifiers. Results indicate that the contribution of the selected learning-based model varies across the two cryptocurrencies, and predictions are better in the absence of trade volume as an input feature to the classifiers.
{"title":"Impact of Tweet Sentiments on the Return of Cryptocurrencies: Rule-Based vs. Machine Learning Approaches","authors":"Peyman Alipour, Sina Esmaeilpour Charandabi","doi":"10.24018/ejbmr.2024.9.1.2180","DOIUrl":"https://doi.org/10.24018/ejbmr.2024.9.1.2180","url":null,"abstract":"In an attempt to assess the appropriateness of the best-practice lexicon-based approaches as opposed to novel learning-based models to extract the sentiment of textual content in the context of the cryptocurrency market, the current study provides further insights into the association between digital activity and price movement of cryptocurrencies. Using a sample of Bitcoin and Ethereum trade data, this study compares the performance of Harvard IV-4 and BERT models in conjunction with the well-known machine learning classifiers. It examines to what extent learning-based sentiment models can enhance the price movement prediction, compared to lexicon-based approaches, and whether the prediction is improved or impaired by introducing different features as input to the classifiers. Results indicate that the contribution of the selected learning-based model varies across the two cryptocurrencies, and predictions are better in the absence of trade volume as an input feature to the classifiers.","PeriodicalId":503831,"journal":{"name":"European Journal of Business and Management Research","volume":"107 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139391046","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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