[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-127746-en":3,"doc-seo-127746-105":31,"detail-sidebar-cat-0-en-105":96},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},127746,962084926284,"Aurora","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","Using Machine Learning to Determine Factors Affecting Product and Product-Service Innovation","The study advances a machine learning analytical approach to identify antecedents behind product and product-service innovations in a country-level setting. It applies a novel ML method to data from the Equatorian National Survey on Technology and Innovation, covering more than 6,000 firms, to rank innovation antecedents. Results show that antecedents for product and product-service innovation are distinct while grounded in open innovation principles and competitive priorities. The analysis is based on Equatorian firms to demonstrate ML suitability across contexts, and it captures interactions beyond traditional quantitative approaches.","Using Machine Learning to determine factors affecting product and product-service innovation\nOscar F. Bustinzaa, Luís M. Molinaa, and Marlene Mendoza-Macias\na Faculty of Economics and Business Studies, University of Granada, Spain\nE-mail address: oscarfb@ugr.es\nb Universidad Catolica de Santiago de Guayaquil, Ecuador\nE-mail address: marlene.mendoza@cu.ucsg.edu.ec\nAbstract\nPurpose – Machine Learning (ML) analytical tools are increasingly being considered as an alternative quantitative methodology in management research. This paper proposes a new approach for uncovering the antecedents behind product and product-service innovations.\nDesign/methodology/approach – The ML approach is novel in the field of innovation antecedents at the country level. A sample of the Equatorian National Survey on Technology and Innovation, consisting of more than 6,000 firms, is used to rank the antecedents of innovation.\nFindings – The analysis reveals that the antecedents of product and product-service innovations are distinct, yet rooted in the principles of open innovation and competitive priorities.\nResearch limitations/implications – The analysis is based on a sample of Equatorian firms with the objective of showing how ML techniques are suitable for testing the antecedents of innovation in any other context.\nOriginality/value – The novel ML approach, in contrast to traditional quantitative analysis of the topic, can consider the full set of antecedent interactions to each of the innovations analyzed.\nKeywords: machine learning; product-service innovation; servitization; business analytics\nGrant C-SEJ-020-UGR23 funded by Consejería de Universidad, Investigación e Innovación and by ERDF Andalusia Program 2021-2027.\n\u000f\n1. Introduction\nIn the domain of artificial intelligence (AI), technologies encompass the identification of precise information management challenges, the introduction of computational models to address these, and the subsequent development of algorithms \u0013 ADDIN ZOTERO_ITEM CSL_CITATION {\"citationID\":\"24RvZgeX\",\"properties\":{\"formattedCitation\":\"(Liebregts {\\\\i{}et al.}, 2023)\",\"plainCitation\":\"(Liebregts et al., 2023)\",\"noteIndex\":0},\"citationItems\":[{\"id\":1039,\"uris\":[\"http://zotero.org/users/10288165/items/5KTREFD6\"],\"itemData\":{\"id\":1039,\"type\":\"book\",\"publisher\":\"Springer\",\"source\":\"Google Scholar\",\"title\":\"Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society\",\"title-short\":\"Data Science for Entrepreneurship\",\"author\":[{\"family\":\"Liebregts\",\"given\":\"Werner J.\"},{\"family\":\"Heuvel\",\"given\":\"Willem-Jan\",\"non-dropping-particle\":\"van den\"},{\"family\":\"Born\",\"given\":\"Arjan\",\"non-dropping-particle\":\"van den\"}],\"issued\":{\"date-parts\":[[\"2023\"]]}}}],\"schema\":\"https://github.com/citation-style-language/schema/raw/master/csl-citation.json\"} \u0014(Liebregts et al., 2023)\u0015. AI notably differs from traditional statistical and operational research methods due to its adaptability to new data streams and assimilation of existing knowledge \u0013 ADDIN ZOTERO_ITEM CSL_CITATION {\"citationID\":\"KVgPTtkY\",\"properties\":{\"formattedCitation\":\"(Rodr\\\\uc0\\\\u237{}guez-Esp\\\\uc0\\\\u237{}ndola {\\\\i{}et al.}, 2020)\",\"plainCitation\":\"(Rodríguez-Espíndola et al., 2020)\",\"noteIndex\":0},\"citationItems\":[{\"id\":1374,\"uris\":[\"http://zotero.org/users/10288165/items/P6WF2DMZ\"],\"itemData\":{\"id\":1374,\"type\":\"article-journal\",\"container-title\":\"International Journal of Production Research\",\"DOI\":\"10.1080/00207543.2020.1761565\",\"ISSN\":\"0020-7543, 1366-588X\",\"issue\":\"15\",\"journalAbbreviation\":\"International Journal of Production Research\",\"language\":\"en\",\"page\":\"4610-4630\",\"source\":\"DOI.org (Crossref)\",\"title\":\"The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing\",\"title-short\":\"The potential of emergent disruptive technologies for humanitarian supply chains\",\"volume\":\"58\",\"author\":[{\"family\":\"Rodríguez-Espíndola\",","cbCaiqX2E8cL51JY","https://ap.wps.com/l/cbCaiqX2E8cL51JY","docx",475363,3,1,37,"English","en",105,"# Introduction\n# Abstract\n# Purpose\n# Design/methodology/approach\n# Findings\n# Research limitations/implications\n# Originality/value\n# Keywords\n# Funding and acknowledgements","[{\"question\":\"What problem does the paper address regarding innovation research?\",\"answer\":\"It seeks antecedents behind product and product-service innovations, using machine learning as an alternative quantitative methodology for management research.\"},{\"question\":\"How is the machine learning approach implemented in the study?\",\"answer\":\"A sample from the Equatorian National Survey on Technology and Innovation (over 6,000 firms) is used to rank the antecedents of innovation.\"},{\"question\":\"What key finding distinguishes product from product-service innovation antecedents?\",\"answer\":\"The antecedents are distinct for product versus product-service innovation, yet both are rooted in open innovation principles and competitive priorities.\"},{\"question\":\"What does the study claim as its originality or contribution compared with traditional methods?\",\"answer\":\"The ML approach can consider the full set of antecedent interactions for the analyzed innovations, unlike traditional quantitative analysis.\"}]","Using Machine Learning to Determine Factors Affecting Product and Product-Service Innovation | DOCX",1785941374,93,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":91,"head_meta":93,"extra_data":95,"updated_unix":29},"using-machine-learning-to-determine-factors-affecting-product-and-product-service-innovation","",{"@graph":37,"@context":90},[38,54,69],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,51],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":20},"https://docshare.wps.com/document/research-report/",{"item":52,"name":13,"@type":44,"position":53},"https://docshare.wps.com/document/using-machine-learning-to-determine-factors-affecting-product-and-product-service-innovation/127746/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/vnd.openxmlformats-officedocument.wordprocessingml.document","2026-08-22","2026-08-05",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82,86],{"name":73,"@type":74,"acceptedAnswer":75},"What problem does the paper address regarding innovation research?","Question",{"text":76,"@type":77},"It seeks antecedents behind product and product-service innovations, using machine learning as an alternative quantitative methodology for management research.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"How is the machine learning approach implemented in the study?",{"text":81,"@type":77},"A sample from the Equatorian National Survey on Technology and Innovation (over 6,000 firms) is used to rank the antecedents of innovation.",{"name":83,"@type":74,"acceptedAnswer":84},"What key finding distinguishes product from product-service innovation antecedents?",{"text":85,"@type":77},"The antecedents are distinct for product versus product-service innovation, yet both are rooted in open innovation principles and competitive priorities.",{"name":87,"@type":74,"acceptedAnswer":88},"What does the study claim as its originality or contribution compared with traditional methods?",{"text":89,"@type":77},"The ML approach can consider the full set of antecedent interactions for the analyzed innovations, unlike traditional quantitative analysis.","https://schema.org",{"og:url":52,"og:type":92,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":94,"canonical":52},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":97},[98,102,106,110,115,120,125,128,133,136,140],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":99,"show_sort_weight":100,"slug":101},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":103,"show_sort_weight":104,"slug":105},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":47,"category_name":107,"show_sort_weight":108,"slug":109},"Exam",70,"exam",{"id":111,"doc_module":4,"doc_module_name":47,"category_name":112,"show_sort_weight":113,"slug":114},5,"Comic",60,"comic",{"id":116,"doc_module":4,"doc_module_name":47,"category_name":117,"show_sort_weight":118,"slug":119},6,"Technology",50,"technology",{"id":121,"doc_module":4,"doc_module_name":47,"category_name":122,"show_sort_weight":123,"slug":124},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":126,"slug":127},30,"research-report",{"id":129,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":131,"slug":132},9,"Religion & Spirituality",20,"religion-spirituality",{"id":131,"doc_module":4,"doc_module_name":47,"category_name":134,"show_sort_weight":131,"slug":135},"World Cup","world-cup",{"id":137,"doc_module":4,"doc_module_name":47,"category_name":138,"show_sort_weight":137,"slug":139},10,"Lifestyle","lifestyle",{"id":141,"doc_module":4,"doc_module_name":47,"category_name":142,"show_sort_weight":111,"slug":143},19,"General","general"]