Performance Evaluation Of Information Systems Research Articles

Assessment of Data Quality in a Fragmented Health Information System: A Case Study in Two Health Regions in Gabon

Background: Quality data is a key element for every organization including the organization of the healthcare system. In fact, quality data allows any healthcare system to follow and evaluate the defined objectives in order to meet the needs of their customers. Therefore, it is necessary that the processes of producing these data are well structured and efficient. Unfortunately, in so many sub-Saharan African countries those processes have limits causing a qualitative issue in the collected data in the healthcare sector (for example, the low levels completeness, low levels of accuracy, low levels of promptitude) this is more and more frequent and it undermines the rightness of the intervention choices in the management of any healthcare system. Objective: To assess the level of performance of Gabon's health information system, we undertook to carry out an evaluation study of the processes used to collect quality data. Methods: This qualitative study was implemented using a five-step approach (identification of indicators in the data collection process, specification of data allowing the calculation of indicators, design of the data collection questionnaire, collection of data and health information system performance evaluation). For this assessment, we have chosen to rely on the characteristics (criteria) of three determinants that help ensure data quality (data recording and storage, verification of data accuracy and data processing and analysis). Results: It appears that 58% of the structures do not meet all the criteria that favor the recording and storage of data, 53% do not meet all the criteria that favor the verification of the accuracy of the data and 56% do not meet all the criteria that promote good data processing and analysis. Discussion: Although the dimensions used to assess the quality of the data in our study are not exhaustive, they nevertheless have the merit of describing and giving an idea of the level of performance of the healthcare information system in Gabon. Conclusion: We note from this study that Gabon's healthcare information system has limitations that do not allow it to produce reliable data to support strategic decisions and the results of this study may serve as material for reflection on the improvement of the current health information system.

Preface

The 2020 International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP 2020) and Intelligent Oil Field is jointly organized by Xi’an Shiyou University and AEIC Academic Exchange Center, which was successfully held in Xi’an, Shaanxi, China during December 04-06, 2020.The conference mainly focused on the development of intelligent oil field and measurement and control technology and intelligent instrument, photoelectric detection and measurement technology, intelligent control and automation, signal and information processing, artificial intelligence and robot and other research fields of oil and gas fields. The conference aims to provide an exchange platform for experts and scholars, engineers and research personnel of related fields.We are greatly honored to have invited Prof. Tiantai Li, President of Xi’an Shiyou University to serve as our Conference Chair. There were over 80 experts and scholars in the area of Intelligent Control, Measurement and Signal Processing representing different famous universities and institutes around the globe to attend the conference.The conference model was divided into two sessions, including oral presentations and keynote speeches. In the first part, some scholars, whose submissions were selected as the excellent papers, were given 15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches. In the keynote speeches part, we have invited eight industry elites as our keynote speakers. Prof. Jie Li, from University of Tsukuba, Japan. His current research interests are in big data, cloud, wireless and mobile networking, network security, IoT, OS, modeling and performance evaluation of information systems. The second keynote speaker, Prof. Zhenmao Chen, from Xi’an Jiaotong University. Dr. Tuan Guo, from Jinan University. His main research fields are advanced photonic devices, optical fiber sensing, biphotonic and energy photonics. The others keynote speakers as list: Prof. Maode Yan, from Chang’an University; Prof. Bo Wang, from Xi’an Shiyou University; Prof. Jie Chen, from Northwestern Polytechnical University; Prof. Chun-Sheng Jia, from Southwest Petroleum University; Prof. Chenglin Liu, from China University of Petroleum, Beijing. By discussing scientific research achievements and advanced technology, we can understand the trend of academic development, broaden our horizon in research, strengthen the level of academic research and discussion, and promote the intelligent level of oil field development and the industrialization of academic achievements.ICMSP 2020 is to bring together innovative academics and industrial experts in the field of Intelligent Control, Measurement and Signal Processing to a common forum. Therefore, we compiled a lot of excellent papers featuring the latest advanced studies on the following topics: Measurement Control Technology and Intelligent Instrument, Signal and Information Processing, Intelligent Digital Oil Field, Machine Learning Approach for Oil Well Location, 5G Oil & Gas Field Infrastructure and other related topics. All the papers have been through rigorous review and process to meet the requirements of International publication standard.We would like to acknowledge all of those who have supported ICMSP 2020. Each individual and institutional help were very important for the success of this conference. Especially we would like to thank the organizing committee for their valuable advices in the organization and helpful peer review of the papers.List of Committee Member is available in this pdf.

A Resilience-based Model for Performance Evaluation of Information Systems

A Resilience-based Model for Performance Evaluation of Information Systems

Enhanced Model For Evaluating Information System Success: Determining Critical Criteria

The purpose of this study is to enhance the DeLone and McLean information system success by adding a SERVQUAL instrument to evaluate the service quality dimension. An integrated model for evaluating the information system has been proposed. One of the most popular multi criteria decision making techniques, namely AHP was used to determine the weights of each criterion and sub-criterion of the model in order to identify the most influential criterion on information system’s evaluation. System quality dimension has a strong influence on information system success (0.39) followed by information quality (0.22). The proposed model could be used to enhance information system performance evaluation.

A resilience-based model for performance evaluation of information systems: the case of a gas company

ABSTRACTInformation systems (IS) are strongly influenced by changes in new technology and should react swiftly in response to external conditions. Resilience engineering is a new method that can enable these systems to absorb changes. In this study, a new framework is presented for performance evaluation of IS that includes DeLone and McLean’s factors of success in addition to resilience. Hence, this study is an attempt to evaluate the impact of resilience on IS by the proposed model in Iranian Gas Engineering and Development Company via the data obtained from questionnaires and Fuzzy Data Envelopment Analysis (FDEA) approach. First, FDEA model with α-cut = 0.05 was identified as the most suitable model to this application by performing all Banker, Charnes and Cooper and Charnes, Cooper and Rhodes models of and FDEA and selecting the appropriate model based on maximum mean efficiency. Then, the factors were ranked based on the results of sensitivity analysis, which showed resilience had a significantly higher impact on the proposed model relative to other factors. The results of this study were then verified by conducting the related ANOVA test. This is the first study that examines the impact of resilience on IS by statistical and mathematical approaches.

Information systems performance evaluation, introducing a two-level technique: Case study call centers

With the emergence of Information and Communication technologies, and the relatively cheap cost of calls (voice and data), the use of call centers to provide new services to citizens has grown extensively. Evolution in call centers technologies, systems and infrastructures allowed the transformation of industries and services in big enterprises and organizations, customer support services, marketing services and after sales support are examples of such transformations.The objective of this paper was to introduce a new technique that can support decision makers in the call centers industry to evaluate, and analyze the performance of call centers. The technique presented is derived from the research done on measuring the success or failure of information systems. Two models are mainly adopted namely: the Delone and Mclean model first introduced in 1992 and the Design Reality Gap model introduced by Heeks in 2002. Two indices are defined to calculate the performance of the call center; the success index and the Gap Index. An evaluation tool has been developed to allow call centers managers to evaluate the performance of their call centers in a systematic analytical approach; the tool was applied on 4 call centers from different areas, simple applications such as food ordering, marketing, and sales, technical support systems, to more real time services such as the example of emergency control systems. Results showed the importance of using information systems models to evaluate complex systems as call centers. The models used allow identifying the dimensions for the call centers that are facing challenges, together with an identification of the individual indicators in these dimensions that are causing the poor performance of the call center.

Performance Evaluation of Near Space System for Information Process Based on Multilayer Gray Model

In recent years, near-space platforms become a major military power of research. Performance evaluation of System for a comprehensive optimization design has a very important role. For the current network-centric warfare environment information superiority significant impact on system performance, it establishes a whole process of near space information system performance evaluation index system. For the assessment of near space multi-level system performance, complexity, and other characteristics, a kind of multi-level gray comprehensive evaluation model phased approach is proposed. Using the approach for performance evaluation of near space system in information operations phase for example verifies the practicality.

Modeling Enterprise Architecture Using Timed Colored Petri Net: Single Processor Scheduling

The purpose of modeling enterprise architecture and analysis of it is to ease decision making about architecture of information systems. Planning is one of the most important tasks in an organization and has a major role in increasing the productivity of it. Scope of this paper is scheduling processes in the enterprise architecture. Scheduling is decision making on execution start time of processes that are used in manufacturing and service systems. Different methods and tools have been proposed for modeling enterprise architecture. Colored Petri net is extension of traditional Petri net that its modeling capability has grown dramatically. A developed model with Colored Petri net is suitable for verification of operational aspects and performance evaluation of information systems. With having ability of hierarchical modeling, colored Petri nets permits that using predesigned modules for smaller parts of the system and with a general algorithm, any kind of enterprise architecture can be modeled. A two level hierarchical model is presented as a building block for modeling architecture of Transaction Processing Systems (TPS) in this paper. This model schedules and runs processes based on a predetermined non-preemptive scheduling method. The model can be used for scheduling of processes with four non-preemptive methods named, priority based (PR), shortest job first (SJF), first come first served (FCFS) and highest response ratio next (HRRN). The presented model is designed such can be used as one of the main components in modeling any type of enterprise architecture. Most enterprise architectures can be modeled by putting together appropriate number of these modules and proper composition of them.

정보시스템 성과평가를 위한 형성적 구성변수(Constructs) 및 측정지표 개발

Traditionally in IS studies, the relationship between construct and its measurement items tends to be assumed to be reflective, meaning that the measurements are a reflection of the construct. In reality, however, the nature of the construct can be often formative, which means that its measurement items describe and define the construct rather than vice versa. The purpose of this study was to investigate theoretical and empirically-analysed differences between formative construct and reflective construct through comprehensive interdisciplinary literature review. And then on the basis of these differences, we intended to derive the rule of specifying whether the construct is formative or reflective and propose the methodology of testing the validity(content validity, construct validity, internal consistency and external construct) of formative construct and its measurements, differentiated from that in the case of reflective construct. Also, we suggested the concrete statistical testing methods such as VTT(Vanishing Tetrad Test), MIMIC(Multiple Indicators and Multiple Causes) test and multi-collinearity test. In order to examine the applicability of this methodology to developing the constructs for performance evaluation of IS(Information Systems), we tried to identify its attribute(formative or reflective) and test the validity for the construct arbitrarily chosen among them which had been derived in our previous IS performance evaluation study by using this methodology. The result of the examination was that the methodology proposed in this study was significantly valid and effective in the area of IS performance evaluation.

An information technology trilogy: business strategy, technological deployment and organizational performance

The objective of this empirical study is to identify various profiles of technological deployment specific to various types of business strategy that best support organizational performance. Top managers from 223 organizations completed two questionnaizres analyzed using a Partial Least Squares tool (PLS graph). Profiles of technological deployment based on the strategic impact of the information system department, the technological architecture, the information system performance evaluation and technological scanning were identified. Using Miles and Snow's typology to characterize business strategy, an outward technological profile contributes directly to organizational performance for the analyzer strategic activities, while an inward profile of technological deployment contributes indirectly to organizational performance for the prospector strategic activities.

Design and evaluation of information systems

A perspective is presented to bring into focus the state-of-the-art and development of methods and criteria which relate to the problem of design and performance evaluation of information systems. Two major aspects of design and evaluation are considered. These are the initiation, planning, development and testing of new information systems, to include modification of existing structures; and the appraisals and measurement of operational systems and their components. A taxonomy of information systems is presented in order to provide for a basis of organized evaluation of system performance.