Decision Science Letters最新文献_第7页

Enterprise risk management: A bibliometric analysis of research Trends 企业风险管理:研究趋势的文献计量分析

IF 1.9

Decision Science Letters Pub Date : 2023-01-01 DOI: 10.5267/j.dsl.2023.4.007

Titik Aryati, K. Khomsiyah, C. Harahap

{"title":"Enterprise risk management: A bibliometric analysis of research Trends","authors":"Titik Aryati, K. Khomsiyah, C. Harahap","doi":"10.5267/j.dsl.2023.4.007","DOIUrl":"https://doi.org/10.5267/j.dsl.2023.4.007","url":null,"abstract":"A bibliometric study of 510 enterprise risk management (ERM) papers from the Web of Science Core Collection (WOS-CC) database from 2004 to 2023 is presented in this article. The study's main goal was to give a bibliometric overview of ERM research, focusing on annual publications, references, journals, authors, author affiliations, and nations. Each article's author, document type, publication year, source, volume, edition, pages, number of citations, and references were obtained from WOS in BibTex format. To help the research, Biblioshiny evaluated this data. The survey indicated that ERM research has increased fast over the previous two decades, with a consistent upward trend and increasing pace in the past five years. \"What's wrong with risk matrices?\" by Cox, LA (2008) was the most cited publication in this topic, and the Journal of Risk and Financial Management was the most influential journal. David L. Olson of the University of Nebraska Lincoln was the most prolific author, and UNL was the premier research institution in this area, according to the survey. ERM research was heavily influenced by the US and several other countries. To further ERM research, the paper recommends international collaboration. More research can refine the identification of ERM research hotspots and emerging trends, according to the report.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88153427","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}

引用次数: 3

Integration of factor analysis and Tsukamoto’s fuzzy logic method for quality control of credit provisions in rural banks 结合因子分析与冢本模糊逻辑方法的农村银行信贷质量控制

IF 1.9

Decision Science Letters Pub Date : 2023-01-01 DOI: 10.5267/j.dsl.2023.1.008

Y. Hidayat, S. Sukono, Predy Hartanto, T. Purwandari, Riza Andrian Ibrahim, Moch Panji Agung Saputra, J. Saputra

{"title":"Integration of factor analysis and Tsukamoto’s fuzzy logic method for quality control of credit provisions in rural banks","authors":"Y. Hidayat, S. Sukono, Predy Hartanto, T. Purwandari, Riza Andrian Ibrahim, Moch Panji Agung Saputra, J. Saputra","doi":"10.5267/j.dsl.2023.1.008","DOIUrl":"https://doi.org/10.5267/j.dsl.2023.1.008","url":null,"abstract":"Giving credit to debtors can pose a default risk. This risk arises because of an error in analyzing the credit risk rate of the debtor. Therefore, this study aims to design a framework for analyzing the credit risk rate of debtors so that the default risk can be reduced. This framework is created using the integration of factor analysis and Tsukamoto’s fuzzy logic method. This integration method can group many credit assessment variables into several decisive factors. In addition, the integration method can estimate credit risk rate firmly based on the α-predicate of each basic rule. This analytical framework is simulated on credit application data at a Rural Bank, in Indonesia. The simulation results show that there are three factors and one variable to measure the credit risk rate, namely: factor 1 represents repayment capacity, business length, working capital, and liquidity value; factor 2 represents the age and the difference between the granted and the proposed loan amount; factor 3 represents the stay length, character, and credit history; and one variable represents a dependent number. This research is expected to help credit institutions measure the credit risk rate in making credit decisions for prospective debtors.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81413155","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}

引用次数: 0

The effect of customer relationship management (CRM) on business profitability in Jordanian logistics industries: The mediating role of customer satisfaction 约旦物流业客户关系管理对企业盈利能力的影响:客户满意度的中介作用

Decision Science Letters Pub Date : 2023-01-01 DOI: 10.5267/j.dsl.2023.6.003

Baha Aldeen Mohammad Fraihat, Aseel Mostafa Abozraiq, Ahmad MohD Ababneh, Ahmad Khraiwish, Mohammad Salameh Almasarweh, Yahya saber salah AlGhasawneh

{"title":"The effect of customer relationship management (CRM) on business profitability in Jordanian logistics industries: The mediating role of customer satisfaction","authors":"Baha Aldeen Mohammad Fraihat, Aseel Mostafa Abozraiq, Ahmad MohD Ababneh, Ahmad Khraiwish, Mohammad Salameh Almasarweh, Yahya saber salah AlGhasawneh","doi":"10.5267/j.dsl.2023.6.003","DOIUrl":"https://doi.org/10.5267/j.dsl.2023.6.003","url":null,"abstract":"In today's competitive business environment, the implementation of Customer Relationship Management (CRM) strategies is essential for firms to succeed. The purpose of this study is to investigate the relationship between CRM, customer satisfaction, and business profitability in the Jordanian logistics industry. Specifically, the study examines how customer satisfaction mediates the effect of three key CRM on business profitability. To achieve this, Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to analyze data collected from 384 employees of logistics firms in Jordan. The results of the study suggest that CRM positively affects customer satisfaction, and that customer satisfaction has a significant mediating effect on the relationship between CRM and business profitability. The findings of this study have important implications for logistics firms seeking to improve their business profitability through the adoption of CRM. By focusing on the three key CRM (Customer Identification, Customer Acquisition, and Customer Analytics), firms can improve their customer satisfaction levels, which, in turn, can lead to improved business profitability. This study adds to the growing body of literature on CRM practices and their impact on business profitability, particularly in the context of the Jordanian logistics industry.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135784367","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}

引用次数: 1

The impact of the logistics performance index on global trade volume between the republic of Korea and major GVC reconfiguration participants in ASEAN 物流绩效指数对韩国与东盟主要全球价值链重构参与者之间全球贸易量的影响

Decision Science Letters Pub Date : 2023-01-01 DOI: 10.5267/j.dsl.2023.8.002

Seongsuk Park, Edhie Budi Setiawan, Zaenal Abidin, Prasadja Ricardianto

{"title":"The impact of the logistics performance index on global trade volume between the republic of Korea and major GVC reconfiguration participants in ASEAN","authors":"Seongsuk Park, Edhie Budi Setiawan, Zaenal Abidin, Prasadja Ricardianto","doi":"10.5267/j.dsl.2023.8.002","DOIUrl":"https://doi.org/10.5267/j.dsl.2023.8.002","url":null,"abstract":"Logistics’ significance in international trade is being noted more and more frequently. This study was conducted to analyze the influence of logistics performance on trade volume between the Republic of Korea (ROK) and member states of the Association of Southeast Asian Nations (ASEAN) in order to identify the areas of the Indonesian logistics industry that require improvement to increase trade volume between Indonesia and the ROK. This study focuses on Indonesia, Vietnam, Malaysia, Thailand, and the Philippines, which are actively responding to the reconfiguration of the global value chain (GVC). The report also includes Cambodia, Laos, and Myanmar, which can be viewed as potential GVC competitors of Indonesia due to their considerable manufacturing growth potential. Based on the gravity model, which explains trade volume between regions, this study looked into the effect of the logistics performance index (LPI) of these ASEAN nations on trade with the ROK by analyzing panel data. This study utilized previously published (secondary) data to derive new outcomes. Most of the statistical data were extracted from the World Bank database, IHS Markit, and Euromonitor. The results show that an improvement of LPI can lead to growth in the trade volume between ROK and ASEAN Nations including Indonesia. The study’s insights suggest which logistical areas Indonesia should focus on developing in order to boost trade with ROK and obtain a competitive edge in the GVC reconfiguration.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135784372","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}

引用次数: 1

Determination of the natural disaster insurance premiums by considering the mitigation fund reserve decisions: An application of collective risk model 考虑减灾基金准备金决策的自然灾害保险费确定:集体风险模型的应用

IF 1.9

Decision Science Letters Pub Date : 2022-01-01 DOI: 10.5267/j.dsl.2022.4.002

S. Sukono, Kalfin Kalfin, Riaman Riaman, S. Supian, Y. Hidayat, Jumadil Saputra, M. Mamat

{"title":"Determination of the natural disaster insurance premiums by considering the mitigation fund reserve decisions: An application of collective risk model","authors":"S. Sukono, Kalfin Kalfin, Riaman Riaman, S. Supian, Y. Hidayat, Jumadil Saputra, M. Mamat","doi":"10.5267/j.dsl.2022.4.002","DOIUrl":"https://doi.org/10.5267/j.dsl.2022.4.002","url":null,"abstract":"In Indonesia, natural disasters cases have significantly increased from time to time and have the largest impact on economic losses. To avoid losses in the future due to natural disasters, the insurance company needs to estimate the risk and determine the rate of premium that would be charged to the policyholder. In conjunction with the present issue, this study seeks to determine the premium rate and estimate the size claim of insurance by considering the mitigation fund reserve decisions using The Collective Risk Model (CRM). The data was analyzed using the Poisson process with Weibull distribution to determine the natural disaster frequency and losses. The distribution of losses is estimated using Maximum Likelihood Estimation (MLE), and the magnitude of losses was estimated using the CRM. Also, the mean and variance estimators of the aggregate risk were used to estimate the premium charged. The results indicated that expectation and variance of the frequency of incident claims have the same value, i.e., 2562. Also, the loss claims follow the Weibull distribution with the expected value and variance of 5.81309×1010 and 2.5301×1022, respectively. The mean and variance of the aggregate (collective) claims are 148,931,365,800,000 and 7.35×1025, respectively. In conclusion, this study has successfully determined the efficient pure premium model through the Standard Deviation Principle (SDP). SDP provides a much cheaper premium than the Expected Value Principle with the same loading factor. In addition, SDP considers the standard deviation of the collective risk of natural disasters. The implications of the results of the premium determination are expected to be the basis for decision-making for insurance companies and the government in determining insurance policies for natural disaster mitigation.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85230935","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}

引用次数: 3

Technique of Accurate Ranking Order (TARO): A novel multi criteria analysis approach in performance evaluation of industrial robots for material handling 精确排序技术(TARO):一种新的多准则分析方法，用于工业搬运机器人的性能评价

IF 1.9

Decision Science Letters Pub Date : 2022-01-01 DOI: 10.5267/j.dsl.2022.5.001

Bipradas Bairagi

引用次数: 2

Determining the price elasticity of demand with and without memory effects using fractional order derivatives: A numerical simulation approach 用分数阶导数确定有和没有记忆效应的需求价格弹性:一种数值模拟方法

IF 1.9

Decision Science Letters Pub Date : 2022-01-01 DOI: 10.5267/j.dsl.2022.2.002

M. D. Johansyah, Julita Nahar, E. Djauhari, H. Napitupulu, J. Saputra

引用次数: 0

Predicting the weekly COVID-19 new cases using multilayer perceptron: An evidence from west Java, Indonesia 利用多层感知器预测每周COVID-19新病例:来自印度尼西亚西爪哇的证据

IF 1.9

Decision Science Letters Pub Date : 2022-01-01 DOI: 10.5267/j.dsl.2022.3.002

Y. Hidayat, D. S. Pangestu, S. Subiyanto, T. Purwandari, S. Sukono, Jumadil Saputra

{"title":"Predicting the weekly COVID-19 new cases using multilayer perceptron: An evidence from west Java, Indonesia","authors":"Y. Hidayat, D. S. Pangestu, S. Subiyanto, T. Purwandari, S. Sukono, Jumadil Saputra","doi":"10.5267/j.dsl.2022.3.002","DOIUrl":"https://doi.org/10.5267/j.dsl.2022.3.002","url":null,"abstract":"COVID-19 is a contagious disease caused by the coronavirus (SARS-CoV-2) that attacks the respiratory tract. On August 14th, 2021, 653,741 persons had been proven positive for COVID-19. The number of patients tends to increase as the number of COVID-19 cases grows. The more infected people, the more cases of COVID-19 there will be. The Bed Occupancy Ratio (BOR) in West Java reached an all-time high of 91.6 percent in June 2021, far exceeding the WHO recommendation of 60 percent, before gradually declining to 30.69 percent in August. Because of the new cases mentioned, the rate of spread of COVID-19 in West Java, the forecast of new cases is very strategic. The number of new cases in this study was predicted using a Multilayer Perceptron (MLP). The data used in this study were sourced from the COVID-19 Task Force. The data is the number of positive and new cases from 34 provinces in Indonesia from March 2nd, 2020, to August 14th, 2021. The results of the evaluation using test data on the number of active cases in the last 19 weeks, namely April 10th - August 14th, 2021, The MLP is accurate in forecasting the number of new cases 18 times for both forecast periods with APE < 15%, with the value MAPE, RMSE and MAE obtained were 5.52%, 1157,61, and 706.811. The results of this study can be helpful for the government as a reference in conditioning hospital bed capacity to deal with active COVID-19 cases in West Java in the next two weeks so that the hospital rejects no COVID-19 patients because the hospital is full.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87868519","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}

引用次数: 2

Analysis of COVID-19 rapid antigen and PCR detection policy 新型冠状病毒快速抗原和PCR检测策略分析

IF 1.9

Decision Science Letters Pub Date : 2022-01-01 DOI: 10.5267/j.dsl.2022.1.004

Ruey-Ji Guo, Yu Liang, Hung-Shu Fan, Yenpao Chen, Su-Er Guo

引用次数: 0

An optimal Islamic investment decision in two-region economy: The case of Indonesia and Malaysia 两区域经济中的最优伊斯兰投资决策:以印尼和马来西亚为例

IF 1.9

Decision Science Letters Pub Date : 2022-01-01 DOI: 10.5267/j.dsl.2021.10.004

Ferry Syarifuddin, A. Sakti, T. Bakhtiar

{"title":"An optimal Islamic investment decision in two-region economy: The case of Indonesia and Malaysia","authors":"Ferry Syarifuddin, A. Sakti, T. Bakhtiar","doi":"10.5267/j.dsl.2021.10.004","DOIUrl":"https://doi.org/10.5267/j.dsl.2021.10.004","url":null,"abstract":"In this work, the possibility of cross-border activities between two regions in the framework of the investment contract is viewed as optimal allocation problems. The problems of determining the optimal proportion of funds to be invested in liquidity and technology are analyzed in two different environments. In the first case, we consider a two-region and two-technology economy in which both regions possess the same productive technology or project, but a different stream of return. While in the second case, we examine an economy where two regions (i.e., Indonesia and Malaysia) hold different Islamic productive projects with identical returns. Allocation models are formulated in terms of investors’ expected utility maximization problem under budget constraints with respect to regional and sectoral shocks. It is revealed that optimal parameters for liquidity ratio, technological investment profile, and bank repayment are analytically characterized by the return of a more productive project and the proportion of impatient and patient investors in the region. Even though both cases employ different assumptions, they provide the same expressions of optimal parameters. The model suggests that cross-border Islamic investment activities between two regions might be realized, provided both regions hold productive projects with an identical stream of return. This paper also shows that by increasing the lower return of the project approaching the higher return, a room for inter-region investment can be created. An analytical framework of an investment contract in terms of optimal allocation model is provided.","PeriodicalId":38141,"journal":{"name":"Decision Science Letters","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83275536","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}

引用次数: 0