{"title":"Combining topic modeling and bibliometric analysis to understand the evolution of technological innovation adoption in the healthcare industry","authors":"Nicola Cobelli, Silvia Blasi","doi":"10.1108/ejim-06-2023-0497","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>This paper explores the Adoption of Technological Innovation (ATI) in the healthcare industry. It investigates how the literature has evolved, and what are the emerging innovation dimensions in the healthcare industry adoption studies.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>We followed a mixed-method approach combining bibliometric methods and topic modeling, with 57 papers being deeply analyzed.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>Our results identify three latent topics. The first one is related to the digitalization in healthcare with a specific focus on the COVID-19 pandemic. The second one groups up the word combinations dealing with the research models and their constructs. The third one refers to the healthcare systems/professionals and their resistance to ATI.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>The study’s sample selection focused on scientific journals included in the <em>Academic Journal Guide</em> and in the FT Research Rank. However, the paper identifies trends that offer managerial insights for stakeholders in the healthcare industry.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>ATI has the potential to revolutionize the health service delivery system and to decentralize services traditionally provided in hospitals or medical centers. All this would contribute to a reduction in waiting lists and the provision of proximity services.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>The originality of the paper lies in the combination of two methods: bibliometric analysis and topic modeling. This approach allowed us to understand the ATI evolutions in the healthcare industry.</p><!--/ Abstract__block -->","PeriodicalId":51462,"journal":{"name":"European Journal of Innovation Management","volume":"19 1","pages":""},"PeriodicalIF":5.0000,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Innovation Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/ejim-06-2023-0497","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
This paper explores the Adoption of Technological Innovation (ATI) in the healthcare industry. It investigates how the literature has evolved, and what are the emerging innovation dimensions in the healthcare industry adoption studies.
Design/methodology/approach
We followed a mixed-method approach combining bibliometric methods and topic modeling, with 57 papers being deeply analyzed.
Findings
Our results identify three latent topics. The first one is related to the digitalization in healthcare with a specific focus on the COVID-19 pandemic. The second one groups up the word combinations dealing with the research models and their constructs. The third one refers to the healthcare systems/professionals and their resistance to ATI.
Research limitations/implications
The study’s sample selection focused on scientific journals included in the Academic Journal Guide and in the FT Research Rank. However, the paper identifies trends that offer managerial insights for stakeholders in the healthcare industry.
Practical implications
ATI has the potential to revolutionize the health service delivery system and to decentralize services traditionally provided in hospitals or medical centers. All this would contribute to a reduction in waiting lists and the provision of proximity services.
Originality/value
The originality of the paper lies in the combination of two methods: bibliometric analysis and topic modeling. This approach allowed us to understand the ATI evolutions in the healthcare industry.
目的本文探讨了医疗保健行业采用技术创新(ATI)的情况。我们采用了文献计量学方法和主题建模相结合的混合方法,对 57 篇论文进行了深入分析。研究结果我们发现了三个潜在主题。第一个主题与医疗保健领域的数字化有关,重点关注 COVID-19 大流行病。第二个潜主题将涉及研究模型及其构造的词语组合归类。研究局限性/意义本研究的样本选择侧重于《学术期刊指南》和《FT Research Rank》中收录的科学期刊。实际意义ATI 有可能彻底改变医疗服务提供系统,并将传统上由医院或医疗中心提供的服务分散化。本文的独创性在于将文献计量分析和主题建模两种方法相结合。这种方法使我们能够了解医疗保健行业中的 ATI 演变。
期刊介绍:
The subject of innovation is receiving increased interest both from companies because of their increased awareness of the impact of innovation in determining market success and also from the research community. Academics are increasingly beginning to place innovation as a priority area in their research agenda. This impetus has been partly fuelled by the Economic & Social Research Council (ESRC) who have designated innovation as one of nine research areas in their research initiative schemes.