{"title":"Service Quality Analysis of Mhealth Services Using Text Mining Method : Alodokter and Halodoc","authors":"N. Paramita, Siska Noviarisanti","doi":"10.33093/ijomfa.2021.2.2.1","DOIUrl":"https://doi.org/10.33093/ijomfa.2021.2.2.1","url":null,"abstract":"The digital transformation of health services causes an increasing number of digital health service providers in Indonesia. The user shares their experiences and reviews each other on the online platform. This study aims to understand user perceptions of m-health services in Indonesia based on m-health service quality with a big data approach. Research using text mining is derived from the results of the reviews of the application Alodokter and Halodoc. User-generated content was gathered from the platform Google Play Store in the period April to December 2020. Based on the sentiment analysis, Alodokter performs well with 73% positive and 27% negative, while Halodoc also dominated with 86% positive and 14% negative. User reviews are categorized based on three dimensions of health service quality with a multiclass classification. It is possible to identify the word networks that often appear in user reviews through text network analysis. The dimension that reviews chiefly on Alodokter and Halodoc is perceived outcome quality. The result of this study could help or use as guidance to be a reference for evaluations to improve Indonesia's quality of m-health services.","PeriodicalId":303842,"journal":{"name":"International Journal of Management, Finance and Accounting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128483632","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}
{"title":"The Determinants of House Prices in Malaysia","authors":"Hazmi Hamizan Mohd Zaki","doi":"10.33093/IJOMFA.2021.2.1.1","DOIUrl":"https://doi.org/10.33093/IJOMFA.2021.2.1.1","url":null,"abstract":"This paper studied how house prices were affected by macroeconomic factors from Q1 2009 to Q4 2018. The short and long-run effects of real income, nominal interest rates, inflation rate and stock prices on house prices in Malaysia were examined with the autoregressive distributed lag (ARDL) of a restricted error correction model (ECM). It was discovered that the selected macroeconomic factors were cointegrated with house prices. Income, represented by real Gross Domestic Product (GDP), significantly affected house prices in the short and long-run. Inflation and interest rate, proxied by Consumer Price Index (CPI) and Overnight Policy Rate (OPR), respectively, affected house prices significantly in the long-run. The stock market, tracked by Kuala Lumpur Composite Index (KLCI), had no significant impact on house prices signifying no wealth effect. Through the findings of an inelasticity of demand and an undesirable result of monetary policies, this paper concluded that more effective solutions needed to be carried out to ensure affordability of house ownership in Malaysia.","PeriodicalId":303842,"journal":{"name":"International Journal of Management, Finance and Accounting","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127249154","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}
{"title":"Freedom Indices and Capital Asset Pricing Model: Some Malaysian Evidence","authors":"Tay Lee Ying, Devinaga Rasiah, M. Lai","doi":"10.33093/ijomfa.2020.1.1.1","DOIUrl":"https://doi.org/10.33093/ijomfa.2020.1.1.1","url":null,"abstract":"Human rights and fundamental freedoms such as economic, political, and press freedoms vary widely from country to country. It creates opportunity and risk in investment decisions. Thus, this study is carried out to examine if the explanatory power of the model for capital asset pricing could be improved when these human rights movement indices are included in the model. The sample for this study comprises of 495 stocks listed in Bursa Malaysia, covering the sampling period from 2003 to 2013. The model applied in this study employed the pooled ordinary least square regression estimation. In addition, the robustness of the model is tested by using firm size as a controlled variable. The findings show that market beta as well as the economic and press freedom indices could explain the cross-sectional stock returns of the Malaysian stock market. By controlling the firm size, it adds marginally to the explanation of the extended CAP model which incorporated economic, political, and press freedom indices.","PeriodicalId":303842,"journal":{"name":"International Journal of Management, Finance and Accounting","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114335565","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}