Developing a model of information systems success evaluation for ASYCUDA customs information system in Jordan

The objective of this research is to propose a model which investigates therelationship between the determining factors and Perceived Usefulness for ASYCUDA informationsystem in customs sector in Jordan. This research addresses seven determining factors. Thesefactors are System Quality, Information...

Full description

Saved in:

Bibliographic Details
Main Author:	Aljarrah, Mohammadnour Mosbah
Format:	thesis
Language:	eng
Published:	2018
Subjects:	T Technology (General)
Online Access:	https://ir.upsi.edu.my/detailsg.php?det=5061
Tags:	Add Tag No Tags, Be the first to tag this record!

id	oai:ir.upsi.edu.my:5061
record_format	uketd_dc
institution	Universiti Pendidikan Sultan Idris
collection	UPSI Digital Repository
language	eng
topic	T Technology (General)
spellingShingle	T Technology (General) Aljarrah, Mohammadnour Mosbah Developing a model of information systems success evaluation for ASYCUDA customs information system in Jordan
description	The objective of this research is to propose a model which investigates therelationship between the determining factors and Perceived Usefulness for ASYCUDA informationsystem in customs sector in Jordan. This research addresses seven determining factors. Thesefactors are System Quality, Information Quality, Service Quality, System Use, User Satisfaction,Data Interchange Quality, and Training. Development of the model was based on DeLone and McLeaninformation system success model. This research applies a quantitative research method, usingquestionnaire as the research instrument. A sample of 257 employees who used ASYCUDA were chosenusing simple random technique. Data were analysed using descriptive statistics, correlation, factoranalysis and multiple regression analysis. The findings of this research have demonstrated that allseven constructs were significantly correlated and predicted Perceived Usefulness of ASYCUDAinformation system. Three correlated relations were identified to have the largest uniquecontribution which are Perceived Usefulness and User Satisfaction (β = 0.796), Perceived Usefulnessand System Use (β = 0.759), and System Use and User Satisfaction (β = 0.711). However, tworelations, though significantly correlated, have the last unique contribution which are InformationQuality and Perceived Usefulness (β = 0.296) and System Quality and Perceived Usefulness (β =0.242). As a conclusion, this study will help Jordan customs to evaluate the success of theirinformation system to identify the possible differences between the goals of the implementation ofASYCUDA and what they actually gained from the information system. This study will support Jordancustoms in ensuring that all customs employees have the knowledge, skills, and support in order towork in a higher efficiency atmosphere which creates motivation for work and production. The studyalso implicates that the developed model can enhance the employees performance andthe effectiveness of ASYCUDA information system.
format	thesis
qualification_name
qualification_level	Doctorate
author	Aljarrah, Mohammadnour Mosbah
author_facet	Aljarrah, Mohammadnour Mosbah
author_sort	Aljarrah, Mohammadnour Mosbah
title	Developing a model of information systems success evaluation for ASYCUDA customs information system in Jordan
title_short	Developing a model of information systems success evaluation for ASYCUDA customs information system in Jordan
title_full	Developing a model of information systems success evaluation for ASYCUDA customs information system in Jordan
title_fullStr	Developing a model of information systems success evaluation for ASYCUDA customs information system in Jordan
title_full_unstemmed	Developing a model of information systems success evaluation for ASYCUDA customs information system in Jordan
title_sort	developing a model of information systems success evaluation for asycuda customs information system in jordan
granting_institution	Universiti Pendidikan Sultan Idris
granting_department	Fakulti Pengurusan dan Ekonomi
publishDate	2018
url	https://ir.upsi.edu.my/detailsg.php?det=5061
_version_	1747833161651322880
spelling	oai:ir.upsi.edu.my:50612020-08-04 Developing a model of information systems success evaluation for ASYCUDA customs information system in Jordan 2018 Aljarrah, Mohammadnour Mosbah T Technology (General) The objective of this research is to propose a model which investigates therelationship between the determining factors and Perceived Usefulness for ASYCUDA informationsystem in customs sector in Jordan. This research addresses seven determining factors. Thesefactors are System Quality, Information Quality, Service Quality, System Use, User Satisfaction,Data Interchange Quality, and Training. Development of the model was based on DeLone and McLeaninformation system success model. This research applies a quantitative research method, usingquestionnaire as the research instrument. A sample of 257 employees who used ASYCUDA were chosenusing simple random technique. Data were analysed using descriptive statistics, correlation, factoranalysis and multiple regression analysis. The findings of this research have demonstrated that allseven constructs were significantly correlated and predicted Perceived Usefulness of ASYCUDAinformation system. Three correlated relations were identified to have the largest uniquecontribution which are Perceived Usefulness and User Satisfaction (β = 0.796), Perceived Usefulnessand System Use (β = 0.759), and System Use and User Satisfaction (β = 0.711). However, tworelations, though significantly correlated, have the last unique contribution which are InformationQuality and Perceived Usefulness (β = 0.296) and System Quality and Perceived Usefulness (β =0.242). As a conclusion, this study will help Jordan customs to evaluate the success of theirinformation system to identify the possible differences between the goals of the implementation ofASYCUDA and what they actually gained from the information system. This study will support Jordancustoms in ensuring that all customs employees have the knowledge, skills, and support in order towork in a higher efficiency atmosphere which creates motivation for work and production. The studyalso implicates that the developed model can enhance the employees performance andthe effectiveness of ASYCUDA information system. 2018 thesis https://ir.upsi.edu.my/detailsg.php?det=5061 https://ir.upsi.edu.my/detailsg.php?det=5061 text eng closedAccess Doctoral Universiti Pendidikan Sultan Idris Fakulti Pengurusan dan Ekonomi Abpeykar, M., & Moghbel, A. (2014). a comparative study of the relationship betweenservice quality and organizational performance in public services, using fuzzyahp. journal of economics and management, 2(3), 41-58.Abadi, H., Haghtalab, H., & Dnaee, H. (2014). Evaluation of Paperless Trade, After theImplementation of Asycuda (Case Study: Dogharoun). Journal of Social Issues & Humanities, 2(12),214-218.Abugabah, A., & Sanzogni, L. (2010). Re-conceptualizing Information Systems Models: An Experiencefrom ERP Systems Environment. International Journal for Infonomics, 3(4), 414-421.Abu Rumman, M. (2013). The Impact of Management Information Systems of Human Resources on theTraining Needs in Al-Balqa Applied University. Business Management and Strategy, 4(1), 53-70.Acosta, P., Ramayah, T., & Popa, S. (2013). Explaining intention to use an enterprise resourceplanning system: A replication and extension. Tehnicki Vjesnik 20(3), 397-405.Agarwal, R., & Karahanna, E. (2000). Time Flies When You’re Having Fun: Cognitive Absorption andBeliefs about Information Technology Usage. MIS Quarterly, 24 (4), 665-694.Aguila-Obra, A., & Padilla-Melendez, A. (2006). Organizational factors affecting internettechnology adoption. Internet Research. 16(1), 94-110.Ajayi, I., & Omirin, F. (2007). The Use of Management Information Systems (MIS) In Decision MakingIn The South-West Nigerian Universities. Educational Research and Review, 2 (5), 109-116.Ajoye, M., & Nwagwu, W. (2014). Information Systems User Satisfaction: A Survey of The PostgraduateSchool Portal. Library Philosophy and Practice, Paper 1192.Akter, S. D'Ambra, J., & Ray, P. (2011). Trustworthiness in mhealth information services: anassessment of a hierarchical model with mediating and moderating effects using partial leastsquares (PLS). Journal of the American Society for Information Scienc, 62(1), 100-116.Andy, F. (2009). Discovering statistics using SPSS (3rd ed.). Los Angeles: SAGE Publications.Al-Adaileh, R. (2009). An Evaluation of Information Systems Success: A User Perspective - the Caseof Jordan Telecom Group.. European Journal of ScientificResearch, 37(2), 226-239.Al-Debei, M., Jalal, D., & Al-Lozi, E. (2013). Measuring Web Portals Success: A Re-specification and Validation of the DeLone and McLean Information SystemsSuccess Model. International Journal of Business Information Systems, 14(1), 96- 133.Ali, B., & Younes, B. (2013). The Impact of Information Systems on user Performance: An ExploratoryStudy. Journal of Knowledge Management, Economics and Information Technology, 3 (2), 1-28.Ali, B., Omar, W., & Bakar, R. (2016). Accounting Information System (AIS) and organisationalperformance: moderating effect of organisational culture. International Journal of Economics,Commerce and Management, IV(4), 138- 158.Alipour, M., Moniri, S., & Tanha, J. (2011). Comparative Study of ASYCUDA Role in Increasing theEfficacy of Customs Affairs (in Zanjan and Qazvin). Economics and Finance Review, 1(8), 43 - 56.Alkhalaf, S., Drew, S., & Nguyen, A. (2012). “Validation of the IS Impact Model for Measuring theImpact of e-Learning Systems in KSA Universities: Student Perspective”. International Journal ofAdvanced Computer Science and Applications, 3(5), 73-78.Alshardan, A., Goodwin, C., & Rampersad, F. (2016). A Benefits Assessment Model of InformationSystems for Small Organizations in Developing Countries. Computer and Information Science, 9(1),1-20.Alshibly, A. (2015). Investigating Decision Support System (DSS) Success: A Partial Least SquaresStructural Equation Modeling Approach. Journal of Business Studies Quarterly, 6(4), 56-77.Alumran, A., Hou, X., & Hurst, C. (2013), Assessing the overuse of antibiotics in children withURTIs in Saudi Arabia: Development of the parental perception on antibiotics scale (PAPA scale).Journal of Epidemiology and Global Health, 3(1), 3- 10.Alzahrani, A., Mahmud, I., Ramayah, T., Alfarraj, O., Alalwan, N. (2017). Modelling digital librarysuccess using the Delone and Mclean information success model. Journal of librarianship andinformation science, 7(6), 61-77.Al-Ma'aitah, B.(2013). The Role of Business Intelligence Tools in Decision Making Process.International Journal of Computer Applications, 73(13), 24-31.Ariani, D. W. (2015). “Employee Satisfaction and Service Quality: Is There Relations?” .International Journal of Business Research and Management (IJBRM), 6 (3), 33-44.Al-Mamari, H., Shamsuddin, A., & Aziati, N. (2015). Investigating the Key FactorsInfluencing on Management Information Systems Adoption amongTelecommunication Companies in Yemen: The Conceptual Framework Development. International Journalof Energy, Information and Communications, 6(1), 59-68.Al-Mamary, Y., Shamsuddin, A., & Nor Aziati, A. (2014). The Relationship between System Quality,Information Quality, and Organizational Performance. International Journal of Knowledge andResearch in Management & E- Commerce, 4(3), 7-10.Al-Marashdeh, I., Sahari, N., & Al-Smadi, A. (2010). The Success of Learning Management Systemamong Distance Learners in Malaysian Universities. Journal of Theoretical and Applied InformationTechnology, 21(2), 80-91.Al-Nassar, B. (2017). The influence of service quality in information system success model as anantecedent of mobile learning in education organisations: case study in Jordan. Int. J. MobileLearning and Organisation, 11(1), 41-62.Asemi, A., Safari, A., & Zavareh, A. (2011). The Role of Management Information System (MIS) andDecision Support System (DSS) for Manager’s Decision Making Process. International Journal ofBusiness and Management, 6 (7), 164- 173.Bach, C., Belardo, S., Bajwa, H., & Kantharaju, P. (2011). Factor Analysis in Measuring InformationSystems Effectiveness. In Proceedings of the 2011 ASEE Northeast Section Annual Conference,University of Hartford, American Society for En.Baruch, Y., & Holtom, B. (2008). Survey response rate levels and trends in organizational research.Human Relations, 61(3), 1139-1160.Best, J., & Kahn, J. (2006). Research in education, (10th ed.). Boston, MA: Allyn and Bacon.Bharati, P., & Chaudhury, A. (2006). Product Customisation on the Web: An Empirical Study ofFactors Impacting Choice board User Satisfaction. Information Resources Management Journal, 19 (2),69-81.Blumberg, B., Cooper, D., & Schindler, P. (2005). Business research methods, (2nd ed.).Berkshire: McGraw-Hill Education.Bryman, A., & Bell, E. (2007). Business Research Methods, (2nd ed.). Oxford: Oxford UniversityPress.Brislin, R. (1986). The Wording and Translation of Research Instruments. In Hussein,S.A (2009), AN EMPIRICAL INVESTIGATION OF INFORMATION SYSTEMSSUCCESS: An Analysis of the Factors Affecting Banking Information SystemsSuccess in Egypt, Doctoral Thesis. University of Bradford.Burton-Jones, A., & Straub Jr, D. (2006). Reconceptualizing System Usage: AnApproach and Empirical Test. Information Systems Research, 17 (3), 220-246.Cantens, T., Raballand, G., & Bilangna, S. (2010). Reforming Customs by measuring performance: aCameroon case study. World Customs Journal, 4 (2), 55-74.Chang, C. (2012). Exploring the Determinants of E-Learning Systems Continuance Intention inAcademic Libraries. Library Management, 34 (1/2), 40-55.Chau, P., & Hu, P. (2002). Examining a model of information technology acceptance by individualprofessionals: an exploratory study. Journal of Management Information Systems, 18 (4), 191-230.Chen, I. (2009). Social Capital, IT Capability, and the Success of Knowledge Management Systems.Knowledge Management and E-Learning: An International Journal, 1(1), 36-50.Chiu, C., Chiu, C., & Chang, H. (2007). Examining the integrated influence of fairness and qualityon learners’ satisfaction and Web-based learning continuance intention. Info Systems journal, 17,271-287.Cho, V., Cheng, T., & Hung, H. (2009). Continued usage of technology versus situational factors: Anempirical analysis. Journal of Engineering and Technology Management, 26(2009), 264-284.Churchill. G., Lacobucci, D. (2002). Marketing Research, Methodological Foundations, 8th Edition,London, Harcourt Publishing.Coakes, S., Steed, L., & Ong, C. (2010). SPSS: analysis without anguish: version 17 for Windows,Australia, John Wiley & Sons.Cooper, H., & Schindler, M. (2011). Business Research Methods. McGraw-Hill/Irwin. Creswell, J.(2003). Research Design: Qualitative, Quantitative and Mixed MethodsApproaches, (2nd ed.). Thousand Oaks, CA: Sage Publications.Creswell, J. (2014). Research Design Qualitative, Quantitative, and Mixed Methods Approaches .Thousand Oaks, CA: : SAGE Publications.Curry, B., Flett, E., & Hollingsworth M. (2006). Managing Information & Systems: The BusinessPerspective. Routledge.Dadmand, F. (2014). Evaluating Information System Success in University: An Empirical Test of theDelone-Mclean Model. Spectrum. A Journal of Multidisciplinary Research, 3 (2), 38-40.David, J. (2013). ASYCUDA - A recommended IT system for a Customs-centric Single Window andInterconnectivity. United Nations Conference on Trade andDevelopment . Casablanca.Davis, F., Bagozzi, R., & Warshaw, P. (1989). User Acceptance of ComputerTechnology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003.Dawes, J. (2008) “Do data characteristics change according to the number of scale points used?”International Journal of Market Research, 50(1), 61-77.DeLone, W., & McLean, E. (1992). Information systems success: The quest for the dependent variable.Information Systems Research, 3 (1), 60-95.Delone, W., & McLean, E. (2003). The DeLone and McLean Model of Information Systems Success: ATen-Year Update. Journal of Management Information Systems, 19 (4), 9-30.Doll, W., & Torkzadeh, G. (1998). Developing a multidimensional measure of system- use in anorganizational context. Information & Management journal, 33 (4), 171-185.Dorr, S., Walther, S., & Eymann, T. (2013). Information Systems Success - A Quantitative LiteratureReview and Comparison. In Proceedings of the 11th International Conference onWirtschaftsinformatik, (1813-1827), Leipzig, Germany.Dvorsky, L. (2006). ASYCUDA World Project in Jordan: Planning Phase. USAID Jordan.Eldrandaly, M., Naguib, H., & Hassan, A. (2015). A Model for Measuring Geographic InformationSystems Success. Journal of Geographic Information System, 7, 328- 347.Fan, C., & Yang, H. (2015). Study on E-Government Services Quality: The Integration of Online andOffline Services. Journal of Industrial Engineering and Management, 8(3), 693-718.Fang, Y., Chiu, C., & Wang, E. (2011). Understanding Customers’ Satisfaction and RepurchaseIntentions. Internet Research, 21 (4), 479-503.Field, A., & Andy, C. (2009). Discovering statistics using SPSS (3rd ed). Los Angeles: SAGEPublications.Fincham, J. (2008). Response rates and responsiveness for surveys, standards and the journal,American Journal of Pharmaceutical Education, 72, pp. 43.Foshay, N. (2008) Wining the Hearts and Minds of Data Warehouse Users: The Role Of End-userMeta-data, Doctoral Thesis, University of Bradford.Fraenkel, J., & Wallen, N. (2009). How to design and evaluate reserach in education.(7rd ed.). New York: McGraw Hill.Gable, G., Sedera, D., & Chan, T. (2008). Re-conceptualizing Information SystemSuccess: The IS Impact Measurement Model. Journal of the Association forInformation Systems, 9(7), 377-408.Gay, R., Mills, E., Geoffrey a., & Airasian, P. (2009). Educational Research: Competencies forAnalysis and Application (Ninth Edition). United States/Canada: Pearson International Edition.Gorla, N., Somers, T., & Wong, B. (2010). Organizational impact of system quality, informationquality, and service quality. Journal of Strategic Information Systems, 19, 207-228.Hair, J., Babin, B., Money, A., & Samuel, P. (2003). Essentials of Business Research Methods. USA:John Wiley and Sons, Leyh Publishing, LLC.Hair, J., Black, W., Babin, B., & Ande, M. (2006). Multivariate Data Analysis (6th ed.).Upper Saddle River: NJ: Pearson Prentice Hall.Hair, J., William, W., Babin, B., & Anderson, R. (2010). Multivariate Data Analysis, 7th Edition.Pearson.Halawi, L., Mccarthy, R., & Aronson, J. (2007). An empirical investigation of knowledge-managementsystems’ success. The Journal of Computer Information Systems, 48 (2), 121-135.Hamid, A., Anuar, M., & Gengeswari, K. (2008). Factors influencing the implementation of electronicdata interchange (EDI). Jurnal Kemanusiaan bil.11, 55-67.HanaeRoky, M., & Al Meriouh, B. (2015). Evaluation by users of an industrial information system(XPPS) based on the DeLone and McLean model for IS success. 4th World Conference on Business,Economics and Management, WCBEM, (903-913).Hartley, S., & MacLean, W. (2006). A review of the reliability and validityof Likert scales for people with intellectual disability. Journal of IntellectualDisability Research, 50, 813-827.Hassan, H., Rahmatullah, B., & Nordin, M. (2014). Towards school management system (SMS) success inteacher's perception. Malaysian Online Journal of Education Technology, 2(4), 50-60.Hsieh, P., & Wang, W. (2007). Explaining employees’ Extended Use of complex information systems.European Journal of Information Systems, 16, 216-227.Hsiung, H., & Wang, J. (2014). Factors of Affecting Internal Control Benefits under ERP System: AnEmpirical Study in Taiwan. International Business Research, 7 (4),31-43.Hussein, S. (2009). AN EMPIRICAL INVESTIGATION OF INFORMATION SYSTEMSSUCCESS: An Analysis of the Factors Affecting Banking Information SystemsSuccess in Egypt . Doctoral Thesis. University of Bradford.Ibrahim1, R., Auliaputra, B., Yusoff, R., Maarop, N., Zainuddin, N., & Bahari, R. (2016)Measuring the Success of Healthcare Information System in Malaysia: A Case Study. Journal ofBusiness and Management, 18(4), 100-106Ivanauskien, Neringa., & Volungnait, J. (2014). Relations between Service Quality and CustomerLoyalty: An Empirical Investigation of Retail Chain Stores in Emerging Markets. AmericanInternational Journal of Social Science, 3(2), 113- 120.Jaafreh, A. (2017). Evaluation Information System Success: Applied DeLone and McLean InformationSystem Success Model in Context Banking System in KSA. International Review of Management andBusiness Research, 6(2), 829-845.Jang, C. (2010). Measuring Electronic Government Procurement Success and Testing for the ModeratingEffect of Computer Self-efficacy. International Journal of Digital Content Technology and itsApplications, 4(3), 224-232.Jiang, J., Parolia, N., & Li, Y. (2012). “An Analysis of Three SERVQUAL Variations in MeasuringInformation System Service Quality”. The Electronic Journal Information Systems Evaluation, 15 (2),149-162.Jing, G., & Seon, Y. (2013). An Empirical study on the Effect of E-Service Quality to Satisfaction.International Journal of Management Sciences and Business Research, 2 (10), 25-31.Jones, P., Lee, J., Phillips, L., & Zhang, M. (2001). An adaptation of Brislin’s translation modelfor cross-cultural research. Nursing research, 50(5), 300-304.Kargari, M., & Shayan, M. (2017). Identification of parameters affecting the success of thehospital information system & presentation of a model for user satisfaction improvement. Journal ofIndustrial and Systems Engineering, 10, pp 1-9.Khodakarami, F., & Chan, Y. (2013). An Investigation of Factors Affecting Marketing InformationSystems’ Use. Journal of Marketing Development and Competitiveness, 7 (2), 115-121.Klein, R. (2007). An empirical examination of patient-physician portal acceptance.European Journal of Information Systems, 16 (6), 751-760.Koo, C., Wati, Y., & Chung, N . (2013). A Study of Mobile and Internet Banking Service: Applyingfor IS Success Model. Asia Pacific Journal of InformationSystems, 23 (1), 65-86.Kositanurit, B., Ngwenyama, O., & Osei-Bryson, K. (2006). An Exploration of Factorsthat Impact Individual Performance in an ERP Environment: An Analysis UsingMultiple Analytical Techniques. European Journal of Information Systems, 15(6), 556-568.Krejcie, R., & Morgan, D. (1970). Determining Sample Size for Research Activities.Educational and Psychological Measurement, 30, 607-610.Kumar, R. (2005). Research methodology: a step-by-step guide for beginners, (2nd ed.),London: SAGE.Laudon, C, & Laudon, J. (2007). Management Information Systems: Managing the Digital Firm, (10thed.). Upper Saddle, New Jersey: Pearson.Lee, S., & Lee, S. (2012). Success Factors of Open-Source Enterprise Information SystemsDevelopment. Industrial Management and Data Systems, 112 (7), 1065- 1084.Lee, Y., Strong, D., Kahn, B., & Wang, R. (2002). AIMQ: a methodology for information qualityassessment. Information & Management, 40, 133-146.Leech, M., Barrett, F., & Morgan, S. (2011). IBM SPSS for Intermediate Statistics: Use andInterpretation, 4th Edition. Routledge.Leng, C., Razman, M., & Rusdi, M. (2003). An empirical study on electronic commerce diffusion inthe Malaysian shipping industry. Electronic Journal on Information Systems in Developing Countries.14(1), 1-9.Lin, F. (2007). Measuring Online Learning Systems Success: Applying the Updated DeLone and McLeanModel. CyberSychology and Behavior, 10 (6), 817- 820.Lin, J., & Hsieh, P. (2007). The influence of technology readiness on satisfaction and behaviouralintentions toward self-service technologies. Computers in Human Behavior, 23, 1597-1615.Ling, F. (2015). Measuring Framework for Information System Evaluation. Australian Journal of Basicand Applied Sciences, 9(22), 56-62.Livari, J. (2005). An empirical test of the DeLone-McLean model of information system success. TheData Base for Advances in Information Systems, 36 (2), 8-27.Lwoga, E. (2013). Measuring the success of library 2.0 technologies in the African context: Thesuitability of the DeLone and McLean’s model . Campus-Wide Information Systems, 30 (4), 288-307.Magutu, p., Lelei, j., & Nanjira, a. (2010). the benefits and challenges of electronic datainterchange Implementation and Application at Kilindini Water Front Project inKenya. African Journal of Business & Management, 1, 212-236.Malhotra, Y., & Galletta, D. (2005). Model of volitional systems adoption and usagebehavior. Journal of Management Information Systems, 22 (1), pp. 117-151.Manchanda, A., & Mukherjee, S. (2011). A Review of Information System Success Models. InternationalJournal of Innovative Research in Technology and Science, 1(3), 15-18.Matignon, R. (2005). Neural network modeling using SAS enterprise miner.AuthorHouse.McGill, T., Hobbs, V., & Klobas, J . (2003). User-Developed Applications and Information SystemsSuccess: A Test of DeLone and McLean’s Model. Information Resources Management Journal, 16(1),24-45.Messersmith, J., Patel, P., & Lepak, D. (2011). Unlocking the Black Box: Exploring the Link BetweenHigh-Performance Work Systems and Performance. Journal of Applied Psychology, 96(6), 5-18.Moon, S. (1997). Increasing Utility of Electronic Data Interchange in the Public Service of Korea:The Case of the Customs Service. Asian Review of Bublic Administration. 1, 94-107.Moraga, A., Calero, C., & Piattini, M. (2004). A First Proposal of Portal Quality Model,.Proceedings of the IADIS International Conference, E-society, 1(2), 630-638,Ávila, Spain.Mudzana, K., & Maharaj B. (2015). Measuring the success of business-intelligence systems in SouthAfrica: An empirical investigation applying the DeLone and McLean Model. South African Journal ofInformation Management , 17(1), 1-7.Muijs, N., Daniel, K. (2004). Doing Quantitative Research in Education:with SPSS. Thousand Oaks,CA: SAGE Publications.Munro, B. (2005). Statistical methods for health care research (Vol. 1). Lippincott Williams &Wilkins.Musawa, M., & Wahab, E. (2012). The adoption of electronic data interchange (EDI) technology byNigerian SMEs: A conceptual framework. Journal of Business Management and Economics, 3(2), 55-68.Myrtidis, A., & Weerakkody, V. (2008). A study of information systems investment evaluation in theGreek banking sector. Inform. Techno. Dev, 14, 11-30.Nasiri , F, & Farahbod, F. (2012). Study the Success of Electronic Government Procurement Systemwith Respect to Adjusting Variable of User Self-Efficacy inUsing Computer. Trends in Advanced Science and Engineering, 4(2), 144-150.Nayak, G., Sequeira, A., & Senapati, S. (2012). Management Information System forEffective and Efficient Decision Making: A Case Study. SSRN ElectronicJournal, https://www.researchgate.net/publication/256039738.Nazari, M., & Nazari, H. (2013). Management Information Systems and Business.International Journal of Information Science and System, 2 (1), 1-8.Nemec, J., & Zapletal, M. (2015). proposal of decision-making model using Delone and Mcleaninformation system success modeltoghather with the AHP. Acta Informatica Pragensia, 4(2), 122-139.Ngai, E., & Gunasekaran, A. (2004). Implementation of EDI in Hong Kong: an empirical analysis.Industrial Management and Data Systems. 104(1), 88-100.Odinioha, G., & Chukwuma, O. (2013). Management Information Systems and Corporate Decision- Making:A Literature Review. The International Journal of Management, 2 (3), 78-82.Ojo, A. (2017). Validation of the Delone and Mclean information success model.Healthc Inform Res. 23(1), 60-66.Palmer. S, (2016). Jamaica Information Services. retrieved from http://jis.gov.jm/jca-addressing-challenges-asycuda/.Parasuraman, A., Zeithami, V., & Berry, L. (1998). SERVQUAL: a multi-item scale for measuringconsumer perceptions of service quality. Journal of Retailing, 67 (4), 420-450.Park, H. (2008). Univariate Analysis and Normality Test Using SAS, Stata, and SPSS. TechnicalWorking Paper. The University Information Technology Services (UITS) Center for Statistical andMathematical Computing, Indiana University.Paul, A., & Paul, V. (2014). A Framework for E-Government Interoperability inIndian Perspective. International Journal of Computer Information Systems and Industrial ManagementApplications, 6, 582-591.Petter, S., & McLean, E. (2009). A meta-analytic assessment of the DeLone and McLean IS successmodel: An examination of IS success at the individual level. Information and Management, 46,159-166.Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: models,dimensions, measures, and interrelationships. European Journal of Information Systems, 17, 236-263.Pratomo, D., & Dini, W. (2017). the factors affecting information system success ininventory retail system. Advanced Science Letters, 23 (1), 620-622.Prybutok, V., Zhang, X., & Ryan, S. (2008). Evaluating leadership, IT quality, and netbenefits in an e-government environment. Information and Management, 45, 143-152.Rabaa'i, A. (2010). Validating the IS-Impact model in Australasian universities. In Proceedings ofthe 14th Pacific Asia Conference on Information Systems. National Taiwan University,Taipei, Taiwan.Rabaa'i, A., & Gable, G. (2009). Extending the IS-Impact Model into the higher education sector.7th International Conference on Information and Communications Systems, 7-10, Macau.Rai, A., Lang, S., & Welker, R. (2002). Assessing the validity of IS Success Models: An empiricaltest and theoretical analysis. Information Systems Research, 13, 50-69.Rainer, R., Kelly, J., & Cegielski, C. (2012). Introduction to Information System: Support andTransforming Business (Fourth Edition ed.). New Jersey: John Wiley and Sons.Ramayah, T., Ahmad, N., & Lo, M. (2010). The Role of Quality Factors in Intention to Continue Usingan E-learning System in Malaysia. Procedia Social and Behavioural Sciences, 2, 5422-5426.Ramdan S., Azizan, Y., & Saadan, K. (2014). E-Government Systems Success Evaluating under PrincipleIslam: A Validation of the Delone and Mclean Model of Islamic Information Systems Success. AcademicResearch International, 5(2), 72-85.Rana, N., Dwivedi, Y., & Williams, M. (2013). Evaluating the Validity of IS Success Models for theElectronic Government research: An Empirical Test and Integrated Model. International Journal ofElectronic Government Research, 9 (3), 1-22.Rauniar, R., Rawski, G., & Cates, D. (2011). Performance Evaluation of Integrated InformationSystem across the Value Chain. POMS 22nd Annual Conference. Reno, Nevada, U.S.A.Reddy, B., Srinivasu, K., Rikkula, S., & Rao. M. (2009). management information system to helpmanagers for providing decision making in an organisation. International Journal of Reviews inComputing, 1-6.Rosacker, K., & Olson, D. (2008). "Public sector information system critical success factors".Transforming Government: People, Process and Policy, 2(1), 60-70.Roses, L., Hoppen, N., & Henrique, J. (2009). Management of perceptions of information technologyservice quality. Journal of Business Research, 62, 876-882.Rouibah, K. (2014). E-shopping Success Dimensions: An Empirical Study in Kuwait. In Proceedings ofthe International Conference on Industrial Engineering andOperations Management , Bali, Indonesia.Sabherwal, R., Jeyaraj, A., & Chowa, C. (2006). Information System Success: Individualand Organizational Determinants. Management Science, 52 (12), 1849-1864.Saifuddin, M. (2015). ASYCUDA World Operations. Asia-Pacific Trade Facilitation Forum: Setting theRegional Agenda.Salehi, M. (2012). Barriers to E-Customs in an Emerging Economy: The Case of Iran .Management, 7(2), 129-153.Salhieh, L., & Abu-Doleh, J. (2007). Investigating IT Use and Satisfaction among JordanianCommercial Banks: A Management Challenge. Jordan Journal of Business Administration, 3 (2),233-251.Seddon, P., & Kiew M. (1996). A partial test and development of the DeLone and McLean model of ISsuccess. In Proceedings of the Fifteenth International Conference on Information Systems p 99,Association for Information Systems. Vancouver, Canada.Seddon, P., Staples, S., Patnayakuni, R., & Bowt N. (1999). Dimensions of Information SystemsSuccess. Communications of the Association of Information Systems, 2(20), 1-61.Seddon, P. (1997). A Re-specification and Extension of the DeLone and McLean Model of IS Success. .Information Systems Research, 8 (3), 240-253.Sekaran, U. (2003). Research Methods for Business: A Skill Building Approach, (4th ed.).NY: John Wiley & Sons.Sekaran, U. (2005). Research Methods for Business: A Skill-building Approach (4th ed.).New York: John Wiley & Sons.Seyal, A., & Abd Rahman M. (2015). a primilinary investegation of measuring users satisfaction &success of financial & accounting information system: bruneian perspective. International Journalof Business and Management Review, 3 (2), 1- 22.Seyal, A., & Rahim, M. (2006). A Preliminary investigation of electronic data interchange adoptionin Bruneian small business organizations. Electronic Journal on Information Systems in DevelopingCountries. 24(4), 1-21.Sharkey, U., Scott, M., & Acton, T. (2010). The Influence of Quality on E- Commerce Success- AnEmpirical application of the Delone and Mclean IS Success Model. International Journal ofE-Business Research, 6 (1), 68-84.Shields, F., Patricia, K., Jed, L., & Nandhini, R. 2013. A Playbook for Research Methods:Integrating Conceptual Frameworks and Project Management.Stillwater, OK: New Forums Press.Sirsat, S., & Sirsat, M. (2016). A Validation of The Delone And Mclean Model OnThe Educational Information System Of The Maharashtra State (India).International Journal of Education and Learning Systems, 1, 9-18.Sonnentag, S., & Frese, M . (2002). Performance concepts and performance theory.Psychological management of individual performance, 23(1), 3-25.Sorum, H., Medaglia, R., & Andersen, K. (2012). Perceptions of information system success in thepublic sector, Webmasters at the steering wheel? Transforming Government: People, Process andPolicy, 6 (3), 239-257.Suryanto, T., Setyohadi, D., Faroqi, A. (2016). analysis of the effect of information systemquality to intention to reuse of employee management information system based on informationsuccess model. MATEC web of conferences 58, 03001, 1-6.Tabachnick, B., & Fidell, L. (2001). Using multivariate statistics (4th ed.). Needham Heights, MA:Allyn and Bacon.Tella, A. (2011). Reliability and Factor Analysis of a Blackboard Course Management System Success:A Scale Development and Validation in an Educational Context. Journal of Information TechnologyEducation, 10, 55-80.Urbach, N., Smolnik, S., & Riempp, G. (2008). A Methodological Examination of Empirical Research onInformation Systems Success: 2003 to 2007. In Proceedings of the Fourteenth Americas Conference onInformation Systems. Toronto, Canada.Urbach, N., Smolnik, S., & Riempp, G. (2010). An empirical investigation of employee portalsuccess. Journal of Strategic Information Systems, 19, 184-206.Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of informationtechnology: toward a unified view. MIS Quarterly, 27 (3), 425-478.Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda onInterventions. Decision Sciences, 39 (2), 273-315.Venkatesh, V., & Davis, F. (2000). A theoretical extension of the technology acceptance model: fourlongitudinal field studies. Management Science, 46 (2), 186-204.Visser, M., van Biljon, J., & Herselma, M. (2013). Evaluation of management information systems:Astudy at a further education and training college. SA Journal of Information Management, 15(1),1-8.Wang, R., & Strong, D. (1996). Beyond accuracy: what data quality means to data consumers. Journalof Management Information Systems, 12, 5-34.Wang, W., & Liu, C. (2005). Application of the Technology Acceptance Model: A New Way to EvaluateInformation System Success. 23rd International SystemDynamics Conference. Massachusetts Institute of Technology, Boston, MA.Wang, Y., & Liao, Y. (2006). Assessing E-Government Systems Success: A validation ofthe DeLone and McLean Model of information systems success. In Proceedingsof the. 11th Annual Conference of Asia Pacific Decision Sciences Institute, 356- 366, Hong Kong.Wang, Y. (2008). Assessing E-Commerce Systems Success: A Respecification and Validation of theDeLone and McLean Model of IS Success . Info Systems, 18, 529-557.Wijayasiri, J., & Jayaratne, S. (2009). The Impact of Information Technology in Trade Facilitationon Small and Medium-sized Enterprises in Sri Lanka. Working Paper Series, No 65, Asia-PacificResearch and Training Network on Trade. Bangkok: UN-ESCAP.Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: A five-step guide fornovices. Australasian Journal of Paramedicine, 8(3), 20-34.Wixom, B., & Todd, P. (2005). A theoretical integration of user satisfaction and technologyacceptance. Information Systems Research, 16 (1), 85-102.Wondemagegne, H. (2014). CUSTOMS AND REVENUE REFORMS IN ETHIOPIA; CASE STUDY OF ASYCUDA++. phdThesis.Wu, J., & Wang, Y. (2006). Measuring KMS success: A Respecification of the DeLone and McLean’sModel. Information and Management, 43, 728-739.Yang, Z., Cai, S., Zhou, Z., & Zhou, N. (2005). Development and validation of an instrument tomeasure user perceived service quality of information presenting Web portals. Information andManagement, 42, 575-589.Zaied, A. (2012). An Integrated Success Model for Evaluating Information System in Public Sectors.Journal of Emerging Trends in Computing and Information Sciences, 3(6), 814-825.Zeithaml, V. (2002). Service Excellence in Electronic Channels . Managing Service Quality, 12(3),135-138.Zhu, K., & Xu, S. (2002). a cross country study of electronic business adoption usingthe technology-organization-environment framework. 23rd InternationalConference on Information Systems.

Developing a model of information systems success evaluation for ASYCUDA customs information system in Jordan

Similar Items