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Big Data, Knowledge Management and IoT: New Perspectives for New...
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Big Data, Knowledge Management and IoT: New Perspectives for New Challenges in Disruptive Times

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 8982

Special Issue Editors

Dr. Patricia Ordóñez de Pablos

E-Mail Website
Guest Editor
Department of Business Administration and Accountability, Faculty of Economics, The University of Oviedo (Spain), Oviedo, Spain
Interests: big data; knowledge management; human resource management; information technologies; intellectual capital.
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Miltiadis D. Lytras

E-Mail Website
Guest Editor
1. School of Business, Deree—The American College of Greece, 6 Gravias Street, GR-153 42 Aghia Paraskevi Athens, Greece
2. College of Engineering, Effat University, Jeddah, Saudi Arabia
Interests: cognitive computing; artificial intelligence; data science; bioinformatics; innovation; big data research; data mining; emerging technologies; information systems; technology driven innovation; knowledge management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Special Issue aims to explore how big data, knowledge management, and IoT policy actions, strategies, and tools can provide efficient solutions for new challenges in disruptive times, such as covid-19 and post-covid-19 scenarios.

Data have become a strategic asset for companies, economies, and societies, both now and in the future knowledge economy. The value extracted from data (agriculture data, geographical data, energy consumption data, health data, transport data, etc.) is leading to innovation. Thus, the generation of value in the different parts of the data value chain will become a key issue in the near future for transforming industries and services, increasing productivity and efficiency.

The collection of papers in the Special Issue will provide theoretical insights and empirical evidence from around the world on how companies, organizations, and economies can unleash the potential of big data and IoT to creatively and efficiently solve new challenges.

Prof. Dr. Patricia Ordóñez de Pablos
Prof. Dr. Miltiadis D. Lytras
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • big data
  • data economy
  • disruption
  • innovation
  • information technologies
  • internet of things
  • knowledge management

Published Papers (2 papers)

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Research

23 pages, 10178 KiB  
Article
A Significant Moment in History: A Virtual Living Lab. LifeStyle Narratives That Are Shaping Our World; the Cases of Japan and UK 2019–2020
by Chris D. Beaumont and John Ricketts
Sustainability 2020, 12(22), 9658; https://doi.org/10.3390/su12229658 - 19 Nov 2020
Cited by 1 | Viewed by 2058
Abstract
2020 will go down in history as a tipping point when societies reassessed the fundamental objectives and principles that they had seen their communities develop. As a basis for investigating a broad sense of LifeStyle by Design, some 20 potentially rich narratives are [...] Read more.
2020 will go down in history as a tipping point when societies reassessed the fundamental objectives and principles that they had seen their communities develop. As a basis for investigating a broad sense of LifeStyle by Design, some 20 potentially rich narratives are used as the basis for these empirical analyses. They are our Virtual Living Lab at a time of unparalleled attitudinal and behavioural change and uncertainty. Social sharing is more authentic and trustworthy than traditional forms of mass communications. We explore our narratives in the UK and Japan and draw novel yet consistent, scalable implications for policy makers and public and private institutions alike. We track what people think is important to them and thus lay a foundation for engagement, in contrast to the traditional advertising communications approach of intrusion. Some of the new behaviours may become permanent, but there is a general need to streamline and simplify. People are against the complex, not because they want a simple life but because they want more time to enjoy enriched life experiences. At times of change, especially when uncertainty can bring negative outcomes, it is critical to be able to know what to say and how to say it so that leaders can establish trust and the right tone for the moment. Full article
(This article belongs to the Special Issue Big Data, Knowledge Management and IoT: New Perspectives for New Challenges in Disruptive Times)
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37 pages, 11714 KiB  
Article
Evaluation of Key Performance Indicators (KPIs) for Sustainable Postgraduate Medical Training: An Opportunity for Implementing an Innovative Approach to Advance the Quality of Training Programs at the Saudi Commission for Health Specialties (SCFHS)
by Abdulrahman Housawi, Amal Al Amoudi, Basim Alsaywid, Miltiadis Lytras, Yara H. bin Μoreba, Wesam Abuznadah and Sami A. Alhaidar
Sustainability 2020, 12(19), 8030; https://doi.org/10.3390/su12198030 - 29 Sep 2020
Cited by 12 | Viewed by 6177
Abstract
The Kingdom of Saudi Arabia is undergoing a major transformation in response to a revolutionary vision of 2030, given that healthcare reform is one of the top priorities. With the objective of improving healthcare and allied professional performance in the Kingdom to meet [...] Read more.
The Kingdom of Saudi Arabia is undergoing a major transformation in response to a revolutionary vision of 2030, given that healthcare reform is one of the top priorities. With the objective of improving healthcare and allied professional performance in the Kingdom to meet the international standards, the Saudi Commission for Health Specialties (SCFHS) has recently developed a strategic plan that focuses on expanding training programs’ capacity to align with the increasing demand for the country’s healthcare workforce, providing comprehensive quality assurance and control to ensure training programs uphold high quality standards, and providing advanced training programs benchmarked against international standards. In this research paper, we describe our attempt for developing a general framework for key performance indicators (KPIs) and the related metrics, with the aim of contributing to developing new strategies for better medical training compatible with the future. We present the results of a survey conducted in the Kingdom of Saudi Arabia (KSA), for the enhancement of quality of postgraduate medical training. The recent developments in the field of learning analytics present an opportunity for utilizing big data and artificial intelligence in the design and implementation of socio-technical systems with significant potential social impact. We summarize the key aspects of the Training Quality Assurance Initiative and suggest a new approach for designing a new data and services ecosystem for personalized health professionals training in the KSA. The study also contributes to the theoretical knowledge on the integration of sustainability and medical training and education by proposing a framework that can enhance future initiatives from various health organizations. Full article
(This article belongs to the Special Issue Big Data, Knowledge Management and IoT: New Perspectives for New Challenges in Disruptive Times)
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