{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T08:58:17Z","timestamp":1726477097638},"reference-count":52,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1016\/j.eswa.2022.117965","type":"journal-article","created":{"date-parts":[[2022,6,25]],"date-time":"2022-06-25T15:23:12Z","timestamp":1656170592000},"page":"117965","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":7,"special_numbering":"C","title":["Adaptive big data maturity model using latent class analysis for small and medium businesses in Thailand"],"prefix":"10.1016","volume":"206","author":[{"given":"Santisook","family":"Limpeeticharoenchot","sequence":"first","affiliation":[]},{"given":"Nagul","family":"Cooharojananone","sequence":"additional","affiliation":[]},{"given":"Thira","family":"Chavarnakul","sequence":"additional","affiliation":[]},{"given":"Nuttirudee","family":"Charoenruk","sequence":"additional","affiliation":[]},{"given":"Kanokwan","family":"Atchariyachanvanich","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.eswa.2022.117965_b0005","first-page":"173","article-title":"Towards developing strategic assessment model for big data implementation: A systematic literature review","volume":"8","author":"Adrian","year":"2016","journal-title":"International Journal of Advances in Soft Computing and its Applications"},{"key":"10.1016\/j.eswa.2022.117965_b0010","doi-asserted-by":"crossref","unstructured":"Agrawal, K. P. (2015, August 13\u201315). Investigating the determinants of Big Data Analytics (BDA) adoption in Asian emerging economies [Conference presentation]. 21st Americas Conference on Information Systems, AMCIS 2015, Puerto Rico. https:\/\/aisel.aisnet.org\/amcis2015\/AdoptionofIT\/GeneralPresentations\/25\/.","DOI":"10.5465\/ambpp.2015.11290abstract"},{"year":"2014","series-title":"A practical guide to data mining for business and industry","author":"Ahlemeyer-Stubbe","key":"10.1016\/j.eswa.2022.117965_b0015"},{"issue":"6","key":"10.1016\/j.eswa.2022.117965_b0020","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","article-title":"A new look at the statistical model identification","volume":"19","author":"Akaike","year":"1974","journal-title":"IEEE Transactions on Automatic Control"},{"key":"10.1016\/j.eswa.2022.117965_b0025","doi-asserted-by":"crossref","unstructured":"Al-Sai, Z. A., Abdullah, R., & Husin, M. H. (2019, April 9\u201311). A Review on Big Data Maturity Models [Conference presentation]. 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), Amman, Jordan. doi: 10.1109\/JEEIT.2019.8717398.","DOI":"10.1109\/JEEIT.2019.8717398"},{"key":"10.1016\/j.eswa.2022.117965_b0030","doi-asserted-by":"crossref","unstructured":"Almeida, P., & Bernardino, J. (2016). A survey on open source data mining tools for SMEs. In \u00c1. Rocha, A. Correia, H. Adeli, L. Reis, & M. Mendon\u00e7a Teixeira (Eds.), New Advances in Information Systems and Technologies, Advances in Intelligent Systems and Computing (Vol. 444, pp. 253\u2013262). Springer. doi: 10.1007\/978-3-319-31232-3_24.","DOI":"10.1007\/978-3-319-31232-3_24"},{"issue":"3","key":"10.1016\/j.eswa.2022.117965_b0035","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1016\/j.indmarman.2010.08.006","article-title":"Organisational, technical and data quality factors in CRM adoption\u2014SMEs perspective","volume":"40","author":"Alshawi","year":"2011","journal-title":"Industrial Marketing Management"},{"issue":"3","key":"10.1016\/j.eswa.2022.117965_b0040","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s12599-009-0044-5","article-title":"Developing maturity models for IT management","volume":"1","author":"Becker","year":"2009","journal-title":"Business & Information Systems Engineering"},{"key":"10.1016\/j.eswa.2022.117965_b0045","unstructured":"Betteridge, N., & Nott, C. (2014, August 15). Big data and analytics maturity model. IBMBigData. https:\/\/web.archive.org\/web\/20200109040059\/https:\/\/www.ibmbigdatahub.com\/blog\/big-data-analytics-maturity-model."},{"key":"10.1016\/j.eswa.2022.117965_b0050","unstructured":"Braun, H. (2015). Evaluation of Big Data maturity models\u2013a benchmarking study to support Big Data maturity assessment in organizations [Master\u2019s thesis, Tampere University of Technology]. https:\/\/core.ac.uk\/download\/pdf\/196555414.pdf."},{"key":"10.1016\/j.eswa.2022.117965_b0055","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1016\/j.ins.2014.01.015","article-title":"Data-intensive applications, challenges, techniques and technologies: A survey on Big Data","volume":"275","author":"Chen","year":"2014","journal-title":"Information Sciences"},{"issue":"388","key":"10.1016\/j.eswa.2022.117965_b0060","doi-asserted-by":"crossref","first-page":"762","DOI":"10.1080\/01621459.1984.10477093","article-title":"Latent structure analysis of a set of multidimensional contingency tables","volume":"79","author":"Clogg","year":"1984","journal-title":"Journal of the American Statistical Association"},{"issue":"6","key":"10.1016\/j.eswa.2022.117965_b0065","doi-asserted-by":"crossref","first-page":"2151","DOI":"10.1002\/qre.2008","article-title":"How can SMEs benefit from big data? Challenges and a path forward","volume":"32","author":"Coleman","year":"2016","journal-title":"Quality and Reliability Engineering International"},{"issue":"8","key":"10.1016\/j.eswa.2022.117965_b0070","doi-asserted-by":"crossref","first-page":"1468","DOI":"10.1108\/IMDS-12-2015-0495","article-title":"How organisations leverage Big Data: A maturity model","volume":"116","author":"Comuzzi","year":"2016","journal-title":"Industrial Management & Data Systems"},{"key":"10.1016\/j.eswa.2022.117965_b0075","unstructured":"Cosic, R., Shanks, G., & Maynard, S. (2012, December 3\u20135). Towards a business analytics capability maturity model [Conference presentation]. ACIS 2012 Proceedings\u201323rd Australasian Conference on Information Systems, Geelong, Victoria, Australia. https:\/\/dro.deakin.edu.au\/eserv\/DU:30049067\/cosic-towardsabusiness-2012.pdf."},{"key":"10.1016\/j.eswa.2022.117965_b0080","unstructured":"de Bruin, T., Rosemann, M., Freeze, R., & Kulkarni, U.(2005, November 29\u2013December 2).Understanding the main phases of developing a maturity assessment model [Conference session]. ACIS 2005 Proceedings\u201316th Australasian Conference on Information Systems, Sydney, NSW, Australia. https:\/\/aisel.aisnet.org\/cgi\/viewcontent.cgi?article=1220&context=acis2005."},{"issue":"4","key":"10.1016\/j.eswa.2022.117965_b0085","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1089\/big.2013.0037","article-title":"Predictive modeling with big data: Is bigger really better?","volume":"1","author":"de Fortuny","year":"2013","journal-title":"Big Data"},{"issue":"1","key":"10.1016\/j.eswa.2022.117965_b0090","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1111\/caim.12224","article-title":"Big data for open innovation in SMEs and large corporations: Trends, opportunities, and challenges","volume":"27","author":"Del Vecchio","year":"2018","journal-title":"Creativity and Innovation Management"},{"key":"10.1016\/j.eswa.2022.117965_b0095","unstructured":"El-Darwiche, B., Koch, V., Meer, D., Shehadi, R. T, & Tohme, W. (2014). Big Data Maturity: An Action Plan for Policymakers and Executives. The Global Information Technology Report 2014 (pp. 43\u201351), World Economic Forum. http:\/\/www3.weforum.org\/docs\/GITR\/2014\/GITR_Chapter1.3_2014.pdf."},{"journal-title":"BPTrends.","article-title":"The business process maturity model: A practical approach for identifying opportunities for optimization","year":"2004","author":"Fisher","key":"10.1016\/j.eswa.2022.117965_b0100"},{"issue":"8","key":"10.1016\/j.eswa.2022.117965_b0105","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1016\/j.im.2016.07.004","article-title":"Toward the development of a big data analytics capability","volume":"53","author":"Gupta","year":"2016","journal-title":"Information & Management"},{"key":"10.1016\/j.eswa.2022.117965_b0110","unstructured":"Halper, F., & Krishnan, K. (2013). TDWI big data maturity model guide [White paper]. TDWI Benchmark Guide (2013\u20132014), TDWI Research. https:\/\/tdwi.org\/whitepapers\/2013\/10\/tdwi-big-data-maturity-model-guide.aspx."},{"key":"10.1016\/j.eswa.2022.117965_b0115","doi-asserted-by":"crossref","unstructured":"Iqbal, M., Kazmi, S. H. A., Manzoor, A., Soomrani, A. R., Butt, S. H., & Shaikh, K. A. (2018, March 3\u20134). A study of big data for business growth in SMEs: Opportunities & challenges [Conference presentation]. 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), Sukkur, Pakistan. doi: 10.1109\/ICOMET.2018.8346368.","DOI":"10.1109\/ICOMET.2018.8346368"},{"key":"10.1016\/j.eswa.2022.117965_b0120","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.jaccedu.2016.12.005","article-title":"The role of data visualization and analytics in performance management: Guiding entrepreneurial growth decisions","volume":"38","author":"Kokina","year":"2017","journal-title":"Journal of Accounting Education"},{"issue":"1.8","key":"10.1016\/j.eswa.2022.117965_b0125","doi-asserted-by":"crossref","first-page":"164","DOI":"10.14419\/ijet.v7i1.8.11540","article-title":"IOT and big data analytics in e-learning: A technological perspective and review","volume":"7","author":"Kusuma","year":"2018","journal-title":"International Journal of Engineering & Technology"},{"issue":"4","key":"10.1016\/j.eswa.2022.117965_b0130","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1080\/10705510701575602","article-title":"PROC LCA: A SAS procedure for latent class analysis","volume":"14","author":"Lanza","year":"2007","journal-title":"Structural Equation Modeling: A Multidisciplinary Journal"},{"issue":"2","key":"10.1016\/j.eswa.2022.117965_b0135","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1007\/s11121-011-0201-1","article-title":"Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment","volume":"14","author":"Lanza","year":"2013","journal-title":"Prevention Science"},{"issue":"2","key":"10.1016\/j.eswa.2022.117965_b0140","first-page":"21","article-title":"December 21). Big data, analytics and the path from insights to value","volume":"52","author":"LaValle","year":"2010","journal-title":"MIT Sloan Management Review"},{"year":"1968","series-title":"Latent structure analysis","author":"Lazarsfeld","key":"10.1016\/j.eswa.2022.117965_b0145"},{"key":"10.1016\/j.eswa.2022.117965_b0150","doi-asserted-by":"crossref","unstructured":"Limpeeticharoenchot, S., Cooharojananone, N., Chavarnakul, T., & Atchariyachanvanich, K. (2018, December 5\u20138). Classifying Attitudes of Thai Business Organizations Toward the Perceived Benefit of Customer Predictive Analytics [Conference presentation]. 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), Toyama, Japan. doi: 10.1109\/SCIS-ISIS.2018.00118.","DOI":"10.1109\/SCIS-ISIS.2018.00118"},{"issue":"10","key":"10.1016\/j.eswa.2022.117965_b0155","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v042.i10","article-title":"poLCA: An R package for polytomous variable latent class analysis","volume":"42","author":"Linzer","year":"2011","journal-title":"Journal of Statistical Software"},{"issue":"9","key":"10.1016\/j.eswa.2022.117965_b0160","doi-asserted-by":"crossref","first-page":"1579","DOI":"10.1016\/j.respol.2008.06.004","article-title":"The role of SME entrepreneurs\u2019 innovativeness and personality in the adoption of innovations","volume":"37","author":"Marcati","year":"2008","journal-title":"Research Policy"},{"key":"10.1016\/j.eswa.2022.117965_b0165","unstructured":"Mettler, T. (2009). A design science research perspective on maturity models in information systems (Report No. BE IWI\/HNE\/03). Universit\u00e4t St. Gallen Hochschule f\u00fcr Wirtschafts-, Rechts- und Sozialwissenschaften (HSG). https:\/\/www.alexandria.unisg.ch\/publications\/214531."},{"key":"10.1016\/j.eswa.2022.117965_b0170","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1007\/s10257-017-0362-y","article-title":"Big data analytics capabilities: A systematic literature review and research agenda","volume":"16","author":"Mikalef","year":"2017","journal-title":"Information Systems and e-Business Management"},{"key":"10.1016\/j.eswa.2022.117965_b0175","doi-asserted-by":"crossref","unstructured":"Noonpakdee, W., Phothichai, A., & Khunkornsiri, T. (2018, April 30\u2013May 1). Big data implementation for small and medium enterprises [Conference presentation]. 2018 27th Wireless and Optical Communication Conference (WOCC), Hualien, Taiwan. doi: 10.1109\/WOCC.2018.8372725.","DOI":"10.1109\/WOCC.2018.8372725"},{"issue":"6","key":"10.1016\/j.eswa.2022.117965_b0180","first-page":"35","article-title":"Implementing bigdata analytics for small and medium enterprise (SME) regional growth","volume":"17","author":"Ogbuokiri","year":"2015","journal-title":"IOSR Journal of Computer Engineering"},{"issue":"10","key":"10.1016\/j.eswa.2022.117965_b0185","doi-asserted-by":"crossref","first-page":"3734","DOI":"10.3390\/su10103734","article-title":"A conceptual framework for assessing an organization\u2019s readiness to adopt big data","volume":"10","author":"Olszak","year":"2018","journal-title":"Sustainability"},{"key":"10.1016\/j.eswa.2022.117965_b0190","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.procir.2016.06.120","article-title":"Data mining techniques applied to a manufacturing SME","volume":"62","author":"Packianather","year":"2017","journal-title":"Procedia CIRP"},{"key":"10.1016\/j.eswa.2022.117965_b0195","doi-asserted-by":"crossref","unstructured":"Poeppelbuss, J., Niehaves, B., Simons, A., & Becker, J. (2011). Maturity models in information systems research: literature search and analysis. Communications of the Association for Information Systems, 29, Article 27. doi: 10.17705\/1CAIS.02927.","DOI":"10.17705\/1CAIS.02927"},{"key":"10.1016\/j.eswa.2022.117965_b0200","unstructured":"Poeppelbuss, J., & R\u00f6glinger, M. (2011, June 9\u201311). What makes a useful maturity model? a framework of general design principles for maturity models and its demonstration in business process management [Conference presentation]. ECIS 2011 Proceedings, Helsinki, Finland. https:\/\/aisel.aisnet.org\/cgi\/viewcontent.cgi?article=1027&context=ecis2011."},{"issue":"1","key":"10.1016\/j.eswa.2022.117965_b0205","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1089\/big.2013.1508","article-title":"Data science and its relationship to big data and data-driven decision making","volume":"1","author":"Provost","year":"2013","journal-title":"Big Data"},{"key":"10.1016\/j.eswa.2022.117965_b0210","unstructured":"Radcliffe, J. (2014). Leverage a Big Data maturity model to build your Big Data roadmap. Radcliffe Advisory Services Ltd. https:\/\/web.archive.org\/web\/20170802005853\/http:\/\/www.radcliffeadvisory.com\/research\/download.php?file=RAS_BD_MatMod.pdf."},{"issue":"4","key":"10.1016\/j.eswa.2022.117965_b0215","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1089\/big.2019.0100","article-title":"An experience-centered approach to training effective data scientists","volume":"7","author":"Rodolfa","year":"2019","journal-title":"Big Data"},{"issue":"1","key":"10.1016\/j.eswa.2022.117965_b0220","first-page":"55","article-title":"Developing the SMEs' innovative capacity using a big data approach","volume":"14","author":"Rusaneanu","year":"2014","journal-title":"Economy Informatics"},{"year":"2013","series-title":"Big Data: Understanding how data powers big business","author":"Schmarzo","key":"10.1016\/j.eswa.2022.117965_b0225"},{"issue":"2","key":"10.1016\/j.eswa.2022.117965_b0230","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1214\/aos\/1176344136","article-title":"Estimating the dimension of a model","volume":"6","author":"Schwarz","year":"1978","journal-title":"The Annals of Statistics"},{"key":"10.1016\/j.eswa.2022.117965_b0235","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1016\/j.jbusres.2016.08.003","article-title":"A model for unpacking big data analytics in high-frequency trading","volume":"70","author":"Seddon","year":"2017","journal-title":"Journal of Business Research"},{"issue":"1","key":"10.1016\/j.eswa.2022.117965_b0240","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.sbspro.2016.11.011","article-title":"An overview of big data for growth in SMEs","volume":"235","author":"Sen","year":"2016","journal-title":"Procedia \u2013 Social and Behavioral Sciences"},{"issue":"2","key":"10.1016\/j.eswa.2022.117965_b0245","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.hitech.2018.09.004","article-title":"Integration of big-data ERP and business analytics (BA)","volume":"29","author":"Shi","year":"2018","journal-title":"The Journal of High Technology Management Research"},{"issue":"3","key":"10.1016\/j.eswa.2022.117965_b0250","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1108\/JEIM-10-2015-0099","article-title":"Perceived strategic value-based adoption of Big Data Analytics in emerging economy: A qualitative approach for Indian firms","volume":"30","author":"Verma","year":"2017","journal-title":"Journal of Enterprise Information Management"},{"key":"10.1016\/j.eswa.2022.117965_b0255","unstructured":"Vermunt, J. K., & Magidson, J. (2004). Latent class analysis. In M. S. Lewis-Beck, A. Bryman, & T. F. Liao (Eds.), The SAGE encyclopedia of social science research methods (Vol. 1, pp. 550\u2013553). SAGE Publications, Inc. https:\/\/www.doi.org\/10.4135\/9781412950589.n472."},{"issue":"2","key":"10.1016\/j.eswa.2022.117965_b0260","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1016\/j.ejor.2017.02.023","article-title":"Management challenges in creating value from business analytics","volume":"261","author":"Vidgen","year":"2017","journal-title":"European Journal of Operational Research"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417422011976?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417422011976?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,3,12]],"date-time":"2023-03-12T10:17:08Z","timestamp":1678616228000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417422011976"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":52,"alternative-id":["S0957417422011976"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2022.117965","relation":{},"ISSN":["0957-4174"],"issn-type":[{"type":"print","value":"0957-4174"}],"subject":[],"published":{"date-parts":[[2022,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Adaptive big data maturity model using latent class analysis for small and medium businesses in Thailand","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2022.117965","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"117965"}}