Case Study in Interdisciplinary Scientific Communication: A Decade of the INDECS Journal

Abstract

Background: Interdisciplinary scientific areas regularly develop unique methodologies, yet utilise the conventional communication modes to disseminate results of their researches. Objectives: This paper analyses whether a novel, interdisciplinary communication mode can be found in a gradually developing interdisciplinary journal. Methods/Approach: The content of the journal was categorised based on the characteristics attributed to the published papers. Statistical tests were performed to check for the overlapping categories. Results: A number of indicators, related to papers or to their authors, are introduced and quantified. Conclusions: Methodology utilised and data collected serve, on the one hand, as a referent set for treating the content of other interdisciplinary or disciplinary scientific journals, and, on the other hand, as a set for comparison and extraction of universalities or specificities of the journals. Fluctuations accompanying a gradual rise of the considered journal content prevent a definite answer to the question whether there are some emerging interdisciplinary communication novelties.

Mapping the Scientific Research on Mass Customization Domain: A Critical Review and Bibliometric Analysis

“…Moreover, the above presented analysis has disclosed the evolving interest in customization and the contribution of scholars from various fields. The investigation of interdisciplinary fields is more common by adopting data mining methods (Stepanić et al 2017;Dinçer et al 2020;Qi et al 2020). For instance, these methods were adopted by the scholars investigating social media websites or industry 4.0 issues when big data sets were analysed (Pejic-Bach et al 2020).…”

Visualization of Big Data Text Analytics in Financial Industry: A Case Study of Topic Extraction for Italian Banks

“…Furner et al (2017) examine the Role of Mobile Self-Efficacy regarding mobile products reviews. Text mining can be used in order to analyse and extract textual data aiming to get better bibliometric review for Twitter usage in Tourism (Ćurlin et al, 2019) and for ten-year publishing of INDECS journal (Stepanić et al, 2017).…”