Category: Research profiling

Green scheduling to achieve green manufacturing: Pursuing a research agenda by mapping science (Full-Text)

The strengthening of measures to reduce greenhouse gas emissions meant that manufacturing scheduling had to acquire a green approach. The need to reduce energy consumption becomes necessary for companies to achieve sustainable development. Therefore, a new challenge for the scientific community was foreseen, researching new algorithms or knowledge hubs to achieve green scheduling. Green scheduling…
Public innovation: what it is and how it happens through i-Labs

The complexity involved in the solution for public issues requires innovation. Despite the importance, there is little research to translate theories into practice. The aim of this paper is to investigate innovation for public issues through public innovation laboratories (i-Labs). To achieve this, a systematic literature review from documents published since 2004 up to 2019…
Analysis of Current Status and Evolution Trend of E-waste Resources Utilization Based on Literature Measurement (Full-Text Chinese)

As a comprehensive resource, e-waste contains many precious resources. Resource utilization is an important way to solve the problems of resource shortage and environmental pollution. Based on the paper data collected in Web of Science Core Collection, this article analyzes the paper in the field of the e-waste resource utilization from 1994 to 2019. Using…
A text mining-based approach for the evaluation of patenting trends on nanomaterials

Technological developments in nanomaterials can be tracked using patent indicators. However, the traditional International Patent Classification indicators cannot be considered conclusive, since nanotechnology is not easily defined as a field of research as well as there are different types of nanomaterials not well delineated into hierarchical codes. Therefore, text mining approaches can be used to…
Investigating the active learning research landscape through a bibliometric analysis of an influential meta-analysis on active learning (full-text)

To gain a better understanding of the landscape of active learning research, we conducted a bibliometric analysis of 1671 scholarly sources that cited the influential meta-analysis on active learning conducted by Freeman et al. We investigated eight research questions including yearly publication trends; authorships; country/region affiliations, organizations, and funding entities; Web of Science Core Collection…
Mapping experience research across disciplines: who, where, when (full-text)

Human experiences have been studied in multiple disciplines, Human–Computer Interaction (HCI) being one of the largest research fields with its user experience (UX) research. Currently, there is little interaction between experience researchers from different disciplines, although cross-disciplinary knowledge sharing has the potential to accelerate the development of UX and other experience research fields to the…
A world panorama of bruxism in children and adolescents with emphasis on associated sleep features: A bibliometric analysis (full-text)

Background and ObjectivesTo present a world panorama of the published papers on bruxism in children and adolescents, emphasising the characteristics of studies related to the sleep features of these patients. MethodsLiterature searches were conducted in six databases without language or date restrictions. Data on the titles, types of study, main subjects, countries of origin, keywords,…
Recent Trends in Sedentary Time: A Systematic Literature Review (full-text)

This paper systematically reviews and synthesizes the relevant literature on sedentary time research. A bibliometric analysis was conducted to evaluate the publications from 2010 to 2020 in the Web of Science (WoS) core collection database. Derwent Data Analyzer software was used for the cleaning, mining, and visualization of the data. Historical trends of the topics,…
Unraveling the capabilities that enable digital transformation: A data-driven methodology and the case of artificial intelligence

Digital transformation (DT) is prevalent in businesses today. However, current studies to guide DT are mostly qualitative, resulting in a strong call for quantitative evidence of exactly what DT is and the capabilities needed to enable it successfully. With the aim of filling the gaps, this paper presents a novel bibliometric framework that unearths clues…
Ten years of SOHOMA Workshop Proceedings: A Bibliometric Analysis and Leading Trends

The SOHOMA Workshop series on Service Orientation in Holonic and Multi-Agent Manufacturing is a set of events aiming at fostering innovative research and practices in smart and sustainable manufacturing and logistics systems. The SOHOMA scientific community promotes the development of theories, methods, solutions, proof of concepts and implementations for the digital transformation of the industry…