{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T22:13:54Z","timestamp":1767651234214},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,1,4]],"date-time":"2019-01-04T00:00:00Z","timestamp":1546560000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Educ Inf Technol"],"published-print":{"date-parts":[[2019,3]]},"DOI":"10.1007\/s10639-018-09853-4","type":"journal-article","created":{"date-parts":[[2019,1,4]],"date-time":"2019-01-04T07:30:23Z","timestamp":1546587023000},"page":"1741-1752","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Identifying priority antecedents of educational data mining acceptance using importance-performance matrix analysis"],"prefix":"10.1007","volume":"24","author":[{"given":"Muslihah","family":"Wook","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suhaila","family":"Ismail","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nurhafizah Moziyana Mohd","family":"Yusop","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siti Rohaidah","family":"Ahmad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arniyati","family":"Ahmad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,1,4]]},"reference":[{"key":"9853_CR1","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.compedu.2012.10.023","volume":"62","author":"L Ali","year":"2013","unstructured":"Ali, L., Asadi, M., Ga\u0161evi\u0107, D., Jovanovi\u0107, J., & Hatala, M. (2013). Factors influencing beliefs for adoption of a learning analytics tool: An empirical study. Computers & Education, 62, 130\u2013148.","journal-title":"Computers & Education"},{"issue":"2","key":"9853_CR2","first-page":"29","volume":"6","author":"KE Arnold","year":"2010","unstructured":"Arnold, K. E., Tanes, Z., & King, A. S. (2010). Administrative perceptions of data-mining software signals: Promoting student success and retention. The Journal of Academic Administration in Higher Education, 6(2), 29\u201339.","journal-title":"The Journal of Academic Administration in Higher Education"},{"key":"9853_CR3","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/j.compedu.2017.05.007","volume":"113","author":"R Asif","year":"2017","unstructured":"Asif, R., Merceron, A., Abbas, S., & Ghani, N. (2017). Analyzing undergraduate students' performance using educational data mining. Computers & Education, 113, 177\u2013194.","journal-title":"Computers & Education"},{"key":"9853_CR4","volume-title":"Survey Research Methods hlm.2nd Edisi","author":"ER Babbie","year":"1990","unstructured":"Babbie, E. R. (1990). Survey Research Methods hlm.2nd Edisi. Belmont: Wadsworth Cengage Learning."},{"key":"9853_CR5","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1007\/978-3-642-14363-2_16","volume-title":"Advances in intelligent tutoring systems","author":"RSJ d Baker","year":"2010","unstructured":"Baker, R. S. J. d. (2010). Mining Data for Student Models. In R. Nkambou, J. Bourdeau, & R. Mizoguchi (Eds.), Advances in intelligent tutoring systems (Vol. 308, pp. 323\u2013337). Berlin: Springer Berlin Heidelberg."},{"key":"9853_CR6","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-02738-8_1","volume-title":"Educational data mining","author":"N Bousbia","year":"2014","unstructured":"Bousbia, N., & Belamri, I. (2014). Which contribution does EDM provide to computer-based learning environments? In A. Pe\u00f1a-Ayala (Ed.), Educational data mining (Vol. 524, pp. 3\u201328). Cham: Springer International Publishing."},{"issue":"2","key":"9853_CR7","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1145\/2207243.2207245","volume":"13","author":"T Calders","year":"2012","unstructured":"Calders, T., & Pechenizkiy, M. (2012). Introduction to the special section on educational data mining. ACM SIGKDD Explorations Newsletter, 13(2), 3.","journal-title":"ACM SIGKDD Explorations Newsletter"},{"issue":"13","key":"9853_CR8","doi-asserted-by":"publisher","first-page":"5508","DOI":"10.1016\/j.eswa.2015.02.052","volume":"42","author":"R Campagni","year":"2015","unstructured":"Campagni, R., Merlini, D., Sprugnoli, R., & Verri, M. C. (2015). Data mining models for student careers. Expert Systems with Applications, 42(13), 5508\u20135521.","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"9853_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2307\/249676","volume":"22","author":"WW Chin","year":"1998","unstructured":"Chin, W. W. (1998). Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), 1\u201314.","journal-title":"MIS Quarterly"},{"issue":"3","key":"9853_CR10","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1037\/1040-3590.7.3.309","volume":"7","author":"LA Clark","year":"1995","unstructured":"Clark, L. A., & Watson, D. (1995). Constructing validity\u00a0: Basic issues in objective scale development the centrality of psychological measurement. Psychological Assessment, 7(3), 309\u2013319.","journal-title":"Psychological Assessment"},{"key":"9853_CR11","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.chb.2017.01.047","volume":"73","author":"EB Costa","year":"2017","unstructured":"Costa, E. B., Fonseca, B., Almeida, M., Ferreira, F., Ara\u00fajo, D., & Rego, J. (2017). Evaluating the effectiveness of educational data mining techniques for early prediction of students \u00e2\u20ac\u2122 academic failure in introductory programming courses. Computers in Human Behavior, 73, 247\u2013256.","journal-title":"Computers in Human Behavior"},{"key":"9853_CR12","doi-asserted-by":"crossref","unstructured":"Dahlan N., Ramayah T., & Mei L. L. (2002) Readiness to Adopt Data Mining Technologies: An Exploratory Study of Telecommunication Employees in Malaysia. In D. Karagiannis, U. Reimer (eds), Practical Aspects of Knowledge Management. PAKM 2002. Lecture Notes in Computer Science, vol 2569. Heidelberg: Springer.","DOI":"10.1007\/3-540-36277-0_8"},{"issue":"1","key":"9853_CR13","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1177\/002224378101800104","volume":"18","author":"C Fornell","year":"1981","unstructured":"Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39\u201350.","journal-title":"Journal of Marketing Research"},{"key":"9853_CR14","doi-asserted-by":"crossref","unstructured":"Garc\u00eda, E., Romero, C., Ventura, S. & de Castro, C. (2011). A collaborative educational association rule mining tool. The Internet and Higher Education, 14(2), 77\u201388.","DOI":"10.1016\/j.iheduc.2010.07.006"},{"issue":"1\u20132","key":"9853_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.lrp.2013.01.001","volume":"46","author":"JF Hair","year":"2013","unstructured":"Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1\u20132), 1\u201312.","journal-title":"Long Range Planning"},{"key":"9853_CR16","volume-title":"A primer on partial least squares structural equation modeling (PLS-SEM)","author":"JF Hair","year":"2014","unstructured":"Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014a). A primer on partial least squares structural equation modeling (PLS-SEM). Los Angeles: Sage Publications."},{"issue":"2","key":"9853_CR17","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1108\/EBR-10-2013-0128","volume":"26","author":"JF Hair","year":"2014","unstructured":"Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014b). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106\u2013121.","journal-title":"European Business Review"},{"key":"9853_CR18","doi-asserted-by":"crossref","unstructured":"Henseler, J., Ringle, C. M. & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. (J. Henseler, C. M. Ringle, & R. R. Sinkovics, Eds.), Advances in International Marketing, Advances in International Marketing 20(2009), 277\u2013319.","DOI":"10.1108\/S1474-7979(2009)0000020014"},{"key":"9853_CR19","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/s11747-014-0403-8","volume":"43","author":"J Henseler","year":"2015","unstructured":"Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115\u2013135.","journal-title":"Journal of the Academy of Marketing Science"},{"issue":"3","key":"9853_CR20","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.ijinfomgt.2011.11.006","volume":"32","author":"TC-K Huang","year":"2012","unstructured":"Huang, T. C.-K., Liu, C.-C., & Chang, D.-C. (2012). An empirical investigation of factors influencing the adoption of data mining tools. International Journal of Information Management, 32(3), 257\u2013270.","journal-title":"International Journal of Information Management"},{"issue":"2","key":"9853_CR21","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1086\/376806","volume":"30","author":"CB Jarvis","year":"2003","unstructured":"Jarvis, C. B., Mackenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(2), 199\u2013218.","journal-title":"Journal of Consumer Research"},{"issue":"4","key":"9853_CR22","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/j.im.2013.03.002","volume":"50","author":"C Jin","year":"2013","unstructured":"Jin, C. (2013). The perspective of a revised TRAM on social capital building: The case of Facebook usage. Information & Management, 50(4), 162\u2013168.","journal-title":"Information & Management"},{"key":"9853_CR23","volume-title":"Principles and Practice of Structural Equation Modeling hlm.3rd Edisi","author":"RB Kline","year":"2011","unstructured":"Kline, R. B. (2011). Principles and Practice of Structural Equation Modeling hlm.3rd Edisi. New York: The Guilford Press."},{"issue":"4","key":"9853_CR24","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1080\/15391523.2007.10782488","volume":"39","author":"Q Li","year":"2007","unstructured":"Li, Q. (2007). Student and teacher views about technology: A tale of two cities? Journal of Research on Technology in Education, 39(4), 377\u2013397.","journal-title":"Journal of Research on Technology in Education"},{"issue":"6","key":"9853_CR25","doi-asserted-by":"publisher","DOI":"10.1142\/S021987701750033X","volume":"14","author":"M Martens","year":"2017","unstructured":"Martens, M., & Roll, O. (2017). Testing the technology readiness and acceptance model for mobile payments across Germany and South Africa. International Journal of Innovation and Technology Management, 14(6), 1750033.","journal-title":"International Journal of Innovation and Technology Management"},{"key":"9853_CR26","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.compedu.2012.09.016","volume":"61","author":"H Motaghian","year":"2013","unstructured":"Motaghian, H., Hassanzadeh, A., & Moghadam, D. K. (2013). Factors affecting university instructors\u2019 adoption of web-based learning systems: Case study of Iran. Computers & Education, 61, 158\u2013167.","journal-title":"Computers & Education"},{"issue":"4","key":"9853_CR27","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1177\/109467050024001","volume":"2","author":"A Parasuraman","year":"2000","unstructured":"Parasuraman, A. (2000). Technology readiness index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307\u2013320.","journal-title":"Journal of Service Research"},{"key":"9853_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.iheduc.2015.11.001","volume":"29","author":"Y Park","year":"2016","unstructured":"Park, Y., Yu, J. H., & Jo, I. H. (2016). Clustering blended learning courses by online behavior data case study in a Korean higher education institute. Internet and Higher Education, 29, 1\u201311.","journal-title":"Internet and Higher Education"},{"issue":"4","key":"9853_CR29","doi-asserted-by":"publisher","first-page":"1432","DOI":"10.1016\/j.eswa.2013.08.042","volume":"41","author":"A Pe\u00f1a-Ayala","year":"2014","unstructured":"Pe\u00f1a-Ayala, A. (2014). Educational data mining: A survey and a data mining-based analysis of recent works. Expert Systems with Applications, 41(4), 1432\u20131462. \nhttps:\/\/doi.org\/10.1016\/j.eswa.2013.08.042\n\n.","journal-title":"Expert Systems with Applications"},{"key":"9853_CR30","unstructured":"Pomeroy, W. L. (2014). Academic analytics in higher education: Barriers to adoption. Walden University."},{"issue":"3","key":"9853_CR31","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1504\/IJCSYSE.2013.052585","volume":"1","author":"R Ranjan","year":"2013","unstructured":"Ranjan, R., Ranjan, J., & Bhatnagar, V. (2013). Critical success factor for implementing data mining in higher education: Indian perspective. International Journal of Computational Systems Engineering, 1(3), 151\u2013161.","journal-title":"International Journal of Computational Systems Engineering"},{"issue":"9","key":"9853_CR32","doi-asserted-by":"publisher","first-page":"1865","DOI":"10.1108\/IMDS-10-2015-0449","volume":"116","author":"CM Ringle","year":"2016","unstructured":"Ringle, C. M., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial Management & Data Systems, 116(9), 1865\u20131886.","journal-title":"Industrial Management & Data Systems"},{"issue":"6","key":"9853_CR33","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1109\/TSMCC.2010.2053532","volume":"40","author":"C Romero","year":"2010","unstructured":"Romero, C., & Ventura, S. (2010). Educational data mining: A review of the state of the art. IEEE Transactions on Systems, Man, and Cybernetics, 40(6), 601\u2013618.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics"},{"key":"9853_CR34","doi-asserted-by":"crossref","unstructured":"Romero, C., & Ventura, S. (2013). Data mining in education. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 3(1), 12\u201327.","DOI":"10.1002\/widm.1075"},{"issue":"1","key":"9853_CR35","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.jfbs.2014.01.002","volume":"5","author":"M Sarstedt","year":"2014","unstructured":"Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair, J. F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy, 5(1), 105\u2013115.","journal-title":"Journal of Family Business Strategy"},{"key":"9853_CR36","volume-title":"Research Methods for Business - A Skill Building Approach hlm.5th Edisi","author":"U Sekaran","year":"2010","unstructured":"Sekaran, U., & Bougie, R. (2010). Research Methods for Business - A Skill Building Approach hlm.5th Edisi. West Sussex: Wiley."},{"key":"9853_CR37","doi-asserted-by":"crossref","unstructured":"Sukhija, K., Jindal, M. & Aggarwal, N. (2015). The recent state of educational data mining: A survey and future visions. 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE), hlm.354\u2013359. IEEE.","DOI":"10.1109\/MITE.2015.7375344"},{"issue":"4","key":"9853_CR38","doi-asserted-by":"publisher","first-page":"2432","DOI":"10.1016\/j.compedu.2011.06.008","volume":"57","author":"T Teo","year":"2011","unstructured":"Teo, T. (2011). Factors in fl uencing teachers \u2019 intention to use technology\u00a0: Model development and test. Computers & Education, 57(4), 2432\u20132440.","journal-title":"Computers & Education"},{"issue":"2","key":"9853_CR39","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1111\/j.1540-5915.2008.00192.x","volume":"39","author":"V Venkatesh","year":"2008","unstructured":"Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273\u2013315.","journal-title":"Decision Sciences"},{"issue":"3","key":"9853_CR40","doi-asserted-by":"publisher","first-page":"761","DOI":"10.1016\/j.compedu.2009.02.021","volume":"53","author":"W-T Wang","year":"2009","unstructured":"Wang, W.-T., & Wang, C.-C. (2009). An empirical study of instructor adoption of web-based learning systems. Computers & Education, 53(3), 761\u2013774.","journal-title":"Computers & Education"},{"key":"9853_CR41","doi-asserted-by":"crossref","unstructured":"Wook, M., Yusof, Z. M., & Nazri, M. Z. A. (2017). Educational data mining acceptance among undergraduate students. Education and Information Technologies, 22(3), 1195\u20131216.","DOI":"10.1007\/s10639-016-9485-x"},{"key":"9853_CR42","doi-asserted-by":"crossref","unstructured":"Zhang, P., Li, N. & Sun, H. (2006). Affective quality and cognitive absorption: Extending technology acceptance research. Proceedings of the 39th Annual Hawaii International Conference on System Sciences, hlm.1\u201311.","DOI":"10.1109\/HICSS.2006.39"}],"container-title":["Education and Information Technologies"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10639-018-09853-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10639-018-09853-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10639-018-09853-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,6]],"date-time":"2020-03-06T14:03:11Z","timestamp":1583503391000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10639-018-09853-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,4]]},"references-count":42,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,3]]}},"alternative-id":["9853"],"URL":"https:\/\/doi.org\/10.1007\/s10639-018-09853-4","relation":{},"ISSN":["1360-2357","1573-7608"],"issn-type":[{"value":"1360-2357","type":"print"},{"value":"1573-7608","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,4]]},"assertion":[{"value":"17 July 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 December 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 January 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}