Pub Date : 2019-04-01DOI: 10.4018/IJISSS.2019040104
Saumendra Pattnaik, B. K. Pattanayak, S. Patnaik
In the global market, the value of software quality is a major factor in software industries. In a majority of cases, software quality needs to be quantified and measured. Previously, many models like the ISO model, the McCall model, the Boehm model, etc., have been used for the quantification of the parameters which determine the software quality. The software quality can be judged by analyzing all the characteristics of the product. In this article, a new pragmatic model which is the modification of the existing ISO Model has been proposed in order for the quantification of the software quality factors in a more precise way. Because of the nature of the attributes which determine the software quality, a Fuzzy logic-based approach is considered to be a better technique among various existing machine learning techniques. Here, the simulink tool is used for constructing the running model which helps the net quality of the software.
{"title":"Software Quality Prediction Using Fuzzy Logic Technique","authors":"Saumendra Pattnaik, B. K. Pattanayak, S. Patnaik","doi":"10.4018/IJISSS.2019040104","DOIUrl":"https://doi.org/10.4018/IJISSS.2019040104","url":null,"abstract":"In the global market, the value of software quality is a major factor in software industries. In a majority of cases, software quality needs to be quantified and measured. Previously, many models like the ISO model, the McCall model, the Boehm model, etc., have been used for the quantification of the parameters which determine the software quality. The software quality can be judged by analyzing all the characteristics of the product. In this article, a new pragmatic model which is the modification of the existing ISO Model has been proposed in order for the quantification of the software quality factors in a more precise way. Because of the nature of the attributes which determine the software quality, a Fuzzy logic-based approach is considered to be a better technique among various existing machine learning techniques. Here, the simulink tool is used for constructing the running model which helps the net quality of the software.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115199527","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 : 2019-04-01DOI: 10.4018/IJISSS.2019040105
S. Yi, G. Zhang, Jianfeng He
In image segmentation, there are always some false targets which remain in the segmented image. As the grayscale values of these false targets are quite similar to the grayscale values of the targets of interest, it is very difficult to split them out. And because these false targets exist in the original image, which are not caused by noise or traditional filtering methods, such as median filtering, they cannot be eliminated effectively. It is important to analyze the characteristics of false targets, so the false targets can be removed. In addition, it should be noted that the targets of interest cannot be affected when the false targets are removed. In order to overcome above problems, a maximum inter-class variance segmentation algorithm based on a decision tree is proposed. In this method, the decision tree classification algorithm and the maximum inter-class variance segmentation algorithm are combined. First, the maximum inter-class variance algorithm is used to segment the image, and then a decision tree is constructed according to the attributes of regions in the segmented image. Finally, according to the decision tree, the regions of the segmented image are divided into three categories, including large target regions, small target regions and false target regions, so that the false target regions are removed. The proposed algorithm can eliminate the false targets and improve the segmentation accuracy effectively. In order to demonstrate the effectiveness of the algorithm proposed in this article, the proposed method is compared with some frequently used false target removal approaches. Experimental results show that the proposed algorithm can achieve better results than other algorithms.
{"title":"Maximum Inter Class Variance Segmentation Algorithm Based on Decision Tree","authors":"S. Yi, G. Zhang, Jianfeng He","doi":"10.4018/IJISSS.2019040105","DOIUrl":"https://doi.org/10.4018/IJISSS.2019040105","url":null,"abstract":"In image segmentation, there are always some false targets which remain in the segmented image. As the grayscale values of these false targets are quite similar to the grayscale values of the targets of interest, it is very difficult to split them out. And because these false targets exist in the original image, which are not caused by noise or traditional filtering methods, such as median filtering, they cannot be eliminated effectively. It is important to analyze the characteristics of false targets, so the false targets can be removed. In addition, it should be noted that the targets of interest cannot be affected when the false targets are removed. In order to overcome above problems, a maximum inter-class variance segmentation algorithm based on a decision tree is proposed. In this method, the decision tree classification algorithm and the maximum inter-class variance segmentation algorithm are combined. First, the maximum inter-class variance algorithm is used to segment the image, and then a decision tree is constructed according to the attributes of regions in the segmented image. Finally, according to the decision tree, the regions of the segmented image are divided into three categories, including large target regions, small target regions and false target regions, so that the false target regions are removed. The proposed algorithm can eliminate the false targets and improve the segmentation accuracy effectively. In order to demonstrate the effectiveness of the algorithm proposed in this article, the proposed method is compared with some frequently used false target removal approaches. Experimental results show that the proposed algorithm can achieve better results than other algorithms.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"19 15-16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133124423","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 : 2019-04-01DOI: 10.4018/IJISSS.2019040103
Dana Halabi, A. Shaout
Developing a new website for a government institution is one of common tenders issued by various ministries and government institutions in the world. The country of Jordan usually has at least 22 different ministries and government institutions at a given time. Each one of these entities has its official website which is revamped every three years because of the rapid changes in information and technology. In most cases the ministries and institutions issue a tender to the public, then after collecting tender offers from different companies, only one offer would be selected. The selection process would choose the most appropriate contractor to deliver the project with respect to quality, time and cost. This article presents a new fuzzy logic system for tender evaluation which is based on both the technical qualification of the bidder company and its experience. The proposed system has shown better performance evaluation when compared to the traditional evaluation method currently used by the government.
{"title":"Website Tenders Evaluation Using Fuzzy Logic","authors":"Dana Halabi, A. Shaout","doi":"10.4018/IJISSS.2019040103","DOIUrl":"https://doi.org/10.4018/IJISSS.2019040103","url":null,"abstract":"Developing a new website for a government institution is one of common tenders issued by various ministries and government institutions in the world. The country of Jordan usually has at least 22 different ministries and government institutions at a given time. Each one of these entities has its official website which is revamped every three years because of the rapid changes in information and technology. In most cases the ministries and institutions issue a tender to the public, then after collecting tender offers from different companies, only one offer would be selected. The selection process would choose the most appropriate contractor to deliver the project with respect to quality, time and cost. This article presents a new fuzzy logic system for tender evaluation which is based on both the technical qualification of the bidder company and its experience. The proposed system has shown better performance evaluation when compared to the traditional evaluation method currently used by the government.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"47 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131859721","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 : 2019-01-01DOI: 10.4018/IJISSS.2019010103
R. Al-Dwairi, Murad Al Azzam
Many researchers in Jordan tried to study customers' behavior in the domain of online shopping to understand consumers' attitudes and behaviors towards the adoption process. Still, a lot of work is to be done as customers real usage and adoption level is low which entails more research to be done to investigate the main reasons behind such behavior. In response, this article aims to shed light on consumers' attitudes towards online shopping decisions and extends the technology acceptance model ease of use, perceived usefulness) of the technology acceptance model (TAM) with four factors (trust, security, privacy, and risk). As such, 200 undergraduate and postgraduate students from Yarmouk University formulate the sample of this study. Findings indicate that the six factors are significantly impact consumers' intention to adopt online shopping. Additionally, the F-test of this study indicates that a linear relationship exists between the model's variables and consequently they can be utilized to study this process.
{"title":"Influences and Intention of Consumer's Online Shopping Decision: Jordan as a Case","authors":"R. Al-Dwairi, Murad Al Azzam","doi":"10.4018/IJISSS.2019010103","DOIUrl":"https://doi.org/10.4018/IJISSS.2019010103","url":null,"abstract":"Many researchers in Jordan tried to study customers' behavior in the domain of online shopping to understand consumers' attitudes and behaviors towards the adoption process. Still, a lot of work is to be done as customers real usage and adoption level is low which entails more research to be done to investigate the main reasons behind such behavior. In response, this article aims to shed light on consumers' attitudes towards online shopping decisions and extends the technology acceptance model ease of use, perceived usefulness) of the technology acceptance model (TAM) with four factors (trust, security, privacy, and risk). As such, 200 undergraduate and postgraduate students from Yarmouk University formulate the sample of this study. Findings indicate that the six factors are significantly impact consumers' intention to adopt online shopping. Additionally, the F-test of this study indicates that a linear relationship exists between the model's variables and consequently they can be utilized to study this process.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115773086","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 : 2019-01-01DOI: 10.4018/IJISSS.2019010104
Adai Mohammad Al-Momani, M. Mahmoud, M. S. Ahmad
Current studies in the field of Internet of Things (IoT) focus on the technical aspects such as programing, hardware, and software. However, studies from the behavioral aspects of the IoT are still in their infancy. In this article, the authors review and analyze theories and models from the literature and subsequently identify factors that influence customers' acceptance and use of the IoT services. Theories such as technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) as well as number of existing models have investigated the IoT or similar technologies. Using these models and technologies, this article presents the development of a generic model which can be utilized in different domains and regions to study customer acceptance of the IoT services.
{"title":"A Review of Factors Influencing Customer Acceptance of Internet of Things Services","authors":"Adai Mohammad Al-Momani, M. Mahmoud, M. S. Ahmad","doi":"10.4018/IJISSS.2019010104","DOIUrl":"https://doi.org/10.4018/IJISSS.2019010104","url":null,"abstract":"Current studies in the field of Internet of Things (IoT) focus on the technical aspects such as programing, hardware, and software. However, studies from the behavioral aspects of the IoT are still in their infancy. In this article, the authors review and analyze theories and models from the literature and subsequently identify factors that influence customers' acceptance and use of the IoT services. Theories such as technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) as well as number of existing models have investigated the IoT or similar technologies. Using these models and technologies, this article presents the development of a generic model which can be utilized in different domains and regions to study customer acceptance of the IoT services.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121842918","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 : 2019-01-01DOI: 10.4018/IJISSS.2019010101
Roya Gholami, F. Shirazi, Daniel Arnold
The UK TV market is a dynamic and rapidly evolving industry. This article investigates the factors affecting adoption intention of Smart TV in UK, and whether the customer's perception varies according to their viewing behavior and motivation. The proposed research model is empirically verified through an online survey of early adopters. Previous research has highlighted the gap in Smart TV research which is the consumer behavior perspective. The current study addresses this gap by integrating different theoretical perspectives from IT adoption and mass communication literature, providing a better explanation of Smart TV adoption and viewing behavior by end users. The findings also provide practical insight for marketers and policymakers of Smart TV devices and content providers in order to develop successful segmentation strategy.
{"title":"Adoption of Smart TV in UK and the Moderating Role of Viewer Classification","authors":"Roya Gholami, F. Shirazi, Daniel Arnold","doi":"10.4018/IJISSS.2019010101","DOIUrl":"https://doi.org/10.4018/IJISSS.2019010101","url":null,"abstract":"The UK TV market is a dynamic and rapidly evolving industry. This article investigates the factors affecting adoption intention of Smart TV in UK, and whether the customer's perception varies according to their viewing behavior and motivation. The proposed research model is empirically verified through an online survey of early adopters. Previous research has highlighted the gap in Smart TV research which is the consumer behavior perspective. The current study addresses this gap by integrating different theoretical perspectives from IT adoption and mass communication literature, providing a better explanation of Smart TV adoption and viewing behavior by end users. The findings also provide practical insight for marketers and policymakers of Smart TV devices and content providers in order to develop successful segmentation strategy.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"4 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132746176","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 : 2019-01-01DOI: 10.4018/IJISSS.2019010102
S. H. Siadat, S. Shokohyar, Sara Shafahi
Nowadays a lack of integration among software services and databases has become a major IT problem in many organizations including banking industries. Service oriented architecture (SOA) is the most recent and comprehensive method among the different methods and technologies proposed for integrity implementation. One of the main reasons for banks' failure in achieving the benefits of SOA is lack of a framework that includes all critical factors in SOA adoption. The aim of this article is to identify and analyze the influential factors (organizational, technical, environmental and human) on SOA adoption in e-banking and providing a comprehensive framework that explains these factors. Such a framework enhances the decision-making and enables banks to achieve the benefits of SOA. In order to gather operational data, questionnaire and interview had been used. The conceptual framework was investigated using Smart PLS and SPSS software. The empirical data investigation and interpretation shows that: organizational, technical, human and environmental factors are crucial for SOA adoption.
{"title":"SOA Adoption Factors in E-Banking: An Empirical Analysis from the Practical Perspective","authors":"S. H. Siadat, S. Shokohyar, Sara Shafahi","doi":"10.4018/IJISSS.2019010102","DOIUrl":"https://doi.org/10.4018/IJISSS.2019010102","url":null,"abstract":"Nowadays a lack of integration among software services and databases has become a major IT problem in many organizations including banking industries. Service oriented architecture (SOA) is the most recent and comprehensive method among the different methods and technologies proposed for integrity implementation. One of the main reasons for banks' failure in achieving the benefits of SOA is lack of a framework that includes all critical factors in SOA adoption. The aim of this article is to identify and analyze the influential factors (organizational, technical, environmental and human) on SOA adoption in e-banking and providing a comprehensive framework that explains these factors. Such a framework enhances the decision-making and enables banks to achieve the benefits of SOA. In order to gather operational data, questionnaire and interview had been used. The conceptual framework was investigated using Smart PLS and SPSS software. The empirical data investigation and interpretation shows that: organizational, technical, human and environmental factors are crucial for SOA adoption.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"534 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114823617","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 : 2018-10-01DOI: 10.4018/IJISSS.2018100104
Sajjad Shokouhyar, Parna Saeidpour, Ali Otarkhani
This article aims to predict reasons behind customers' churn in the mobile communication market. In this study, different data mining techniques such as logistic regression, decision trees, artificial neural networks, and K-nearest neighbor were examined. In addition, the general trend of the use of the techniques is presented, in order to identify and analyze customers' behavior and discover hidden patterns in the database of an active Coin the field of VAS1for mobile phones. Based on the results of this article, organizations and companies active in this area can identify customers' behavior and develop the required marketing strategies for each group of customers.
{"title":"Predicting Customers' Churn Using Data Mining Technique and its Effect on the Development of Marketing Applications in Value-Added Services in Telecom Industry","authors":"Sajjad Shokouhyar, Parna Saeidpour, Ali Otarkhani","doi":"10.4018/IJISSS.2018100104","DOIUrl":"https://doi.org/10.4018/IJISSS.2018100104","url":null,"abstract":"This article aims to predict reasons behind customers' churn in the mobile communication market. In this study, different data mining techniques such as logistic regression, decision trees, artificial neural networks, and K-nearest neighbor were examined. In addition, the general trend of the use of the techniques is presented, in order to identify and analyze customers' behavior and discover hidden patterns in the database of an active Coin the field of VAS1for mobile phones. Based on the results of this article, organizations and companies active in this area can identify customers' behavior and develop the required marketing strategies for each group of customers.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125219713","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 : 2018-10-01DOI: 10.4018/IJISSS.2018100105
Boonlert Watjatrakul
Service customization enables users to custom-made services for their specific needs while service providers can use custom outputs to offer superior services for their users. Less attention, however, has been paid to what factors influence individuals to customize mobile service differently and how custom outputs affect their intentions to use the services. The article proposes a new framework to examine the effects of information seeking and user experience on service customization (service configuration and custom outputs) and the effect of the service customization on users' intentions to adopt mobile services through the three values of mobile services–utilitarian value, hedonic value, and social value. The application-to-person short messaging service (A2P SMS) is used as the domain of study. The structural equation modeling (SEM) technique was used for data analysis. The results indicate that information-seeking and user experience regulate users' abilities to customize mobile services. Specifically, information seeking affects custom outputs while user experience affects service configuration. The results also show that custom outputs influence users' intentions to adopt mobile services through the perceived values of mobile services' utilitarian value, hedonic value, and social value. Hedonic value and social value have direct effects on mobile service adoption. This article broadens knowledge and understanding of mobile service adoption and provides guidance to service providers for effectively utilizing their customization strategies to enhance users' adoption of their services.
{"title":"Determinants and Effects of Mobile Service Customization: An Empirical Study of A2P SMS Adoption","authors":"Boonlert Watjatrakul","doi":"10.4018/IJISSS.2018100105","DOIUrl":"https://doi.org/10.4018/IJISSS.2018100105","url":null,"abstract":"Service customization enables users to custom-made services for their specific needs while service providers can use custom outputs to offer superior services for their users. Less attention, however, has been paid to what factors influence individuals to customize mobile service differently and how custom outputs affect their intentions to use the services. The article proposes a new framework to examine the effects of information seeking and user experience on service customization (service configuration and custom outputs) and the effect of the service customization on users' intentions to adopt mobile services through the three values of mobile services–utilitarian value, hedonic value, and social value. The application-to-person short messaging service (A2P SMS) is used as the domain of study. The structural equation modeling (SEM) technique was used for data analysis. The results indicate that information-seeking and user experience regulate users' abilities to customize mobile services. Specifically, information seeking affects custom outputs while user experience affects service configuration. The results also show that custom outputs influence users' intentions to adopt mobile services through the perceived values of mobile services' utilitarian value, hedonic value, and social value. Hedonic value and social value have direct effects on mobile service adoption. This article broadens knowledge and understanding of mobile service adoption and provides guidance to service providers for effectively utilizing their customization strategies to enhance users' adoption of their services.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121942473","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 : 2018-10-01DOI: 10.4018/IJISSS.2018100102
Hussein BaniMelhem, Hossam M. Abu Elanain, M. Hussain
The article aims to examine the relationship between the human resource practices and employees' turnover intention in United Arab Emirates health care sector. This quantitative study utilized a structure equation model (SEM) technique with Analysis of Moment Structures (AMOS) 18 software package to analyze data and to investigate the impact of human resources practices on employees' turnover intention in United Arab Emirates health care services. Results of the study showed that human resources (HRM) practices in health care sector (recruitment and selection, performance appraisal, compensation, and career development) have significant relationship with turnover intention. However, this research was limited to the Public Health Care Sector in UAE and it is recommended to include Private health care sector. Moreover, inclusion of health care workers from different emirates such as Dubai and Sharjah will be needed in future researches. Health care facilities management should have a closer look at the significant human resource practices as an initiative to restructure HRM practices, policies, procedures to increase staff satisfaction, reduce employees' turnover intention and retain its valuable health care professionals. This article is among the first and most exhaustive ones carried out in health care sector in UAE. It explores the relationship between the human resource management practices and the employees' turnover intentions.
{"title":"Impact of Human Resource Management Practices on Employees' Turnover Intention in United Arab Emirates (UAE) Health Care Services","authors":"Hussein BaniMelhem, Hossam M. Abu Elanain, M. Hussain","doi":"10.4018/IJISSS.2018100102","DOIUrl":"https://doi.org/10.4018/IJISSS.2018100102","url":null,"abstract":"The article aims to examine the relationship between the human resource practices and employees' turnover intention in United Arab Emirates health care sector. This quantitative study utilized a structure equation model (SEM) technique with Analysis of Moment Structures (AMOS) 18 software package to analyze data and to investigate the impact of human resources practices on employees' turnover intention in United Arab Emirates health care services. Results of the study showed that human resources (HRM) practices in health care sector (recruitment and selection, performance appraisal, compensation, and career development) have significant relationship with turnover intention. However, this research was limited to the Public Health Care Sector in UAE and it is recommended to include Private health care sector. Moreover, inclusion of health care workers from different emirates such as Dubai and Sharjah will be needed in future researches. Health care facilities management should have a closer look at the significant human resource practices as an initiative to restructure HRM practices, policies, procedures to increase staff satisfaction, reduce employees' turnover intention and retain its valuable health care professionals. This article is among the first and most exhaustive ones carried out in health care sector in UAE. It explores the relationship between the human resource management practices and the employees' turnover intentions.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114515676","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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