2020
DOI: 10.3390/jrfm13090220
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Mapping the Scientific Research on Mass Customization Domain: A Critical Review and Bibliometric Analysis

Abstract: Researchers of the Mass Customization domain face not only challenges of proper and timeless identification of latest practical trends, but also difficulties in rational analyses on the numerous existing scientific studies in this field as well as a need for a comprehensive and multidimensional state-of-the-art overview of the Mass Customization research domain in the last three decades. Therefore, the present research article aims to provide a critical standpoint and reveal the main research directions and co… Show more

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Cited by 12 publications
(13 citation statements)
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“…However, considering the technology development over the last decades, authors in the MC field, such as Wang et al (2017); Bunster, Noguchi and Kvan (2016); Baranauskas, Raišienė, and Korsakienė (2020), believe that big data, data mining, cloud computing, artificial intelligence, machine learning, and deep learning algorithms will reshape the discipline. This change might occur due to these new intelligent methods that can extract patterns and discovering knowledge within data.…”
Section: Mass Customization In the Data Eramentioning
confidence: 99%
“…However, considering the technology development over the last decades, authors in the MC field, such as Wang et al (2017); Bunster, Noguchi and Kvan (2016); Baranauskas, Raišienė, and Korsakienė (2020), believe that big data, data mining, cloud computing, artificial intelligence, machine learning, and deep learning algorithms will reshape the discipline. This change might occur due to these new intelligent methods that can extract patterns and discovering knowledge within data.…”
Section: Mass Customization In the Data Eramentioning
confidence: 99%
“…Moreover, in organisational practice, a rapid orientation towards the customer-centric approach, external demanddriven supply, and value creation via online platforms or process automation tools undoubtedly influences the content and development of these two concepts (Hu, 2013;Walczak, 2014;Tiihonen & Felfernig, 2017). Historically, these practical outcomes also reflect a transformation of the late 2000s from the traditional version concept to the electronic Mass Customisation and Mass Personalisation concepts, which were driven by customer demand (Baranauskas et al, 2020). During this period, the Mass Customisation concept became a more interdisciplinary research field by including features of process management, marketing, engineering, information technology, and other related scientific domains.…”
Section: Literature Reviewmentioning
confidence: 99%
“…During this period, the Mass Customisation concept became a more interdisciplinary research field by including features of process management, marketing, engineering, information technology, and other related scientific domains. In the recent decade, the rise of the combined electronic Mass Customisation and Personalisation (e-MCP) concepts has been identified, which is driven not only by customer demand but also by big data and big data analytics (Pollard et al, 2016;Xu et al, 2016;Zhang et al, 2019;Baranauskas et al, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Bibliometry -and its scientific development-is based on the search for regular statistical behaviors over time and the production of scientific information on consumption (Akinlolu et al, 2020;Ardanuy, 2009;Baranauskas et al, 2020;González-Torres et al, 2020), allowing qualitative and quantitative changes to be evaluated (De Las Heras et al, 2018). The Thomson Reuters Web of Science database is currently the main reference for scientific research worldwide (Llorent-Bedmar & Sianes-Bautista, 2018).…”
Section: Introductionmentioning
confidence: 99%