sustainability-logo

Journal Browser

Journal Browser

Knowledge Systems and Knowledge Management for the Sustainable Enterprise

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

Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 14613

Special Issue Editor


E-Mail Website
Guest Editor
Business Informatics Research Center, Babeș-Bolyai University, str. T. Mihali 58-60, 400591 Cluj Napoca, Romania
Interests: knowledge management systems; enterprise modeling; semantic technology; conceptual modelling

Special Issue Information

Dear Colleagues,

Sustainability will publish a Special Issue focusing on recent developments in the field of "Knowledge Systems and Knowledge Management for the Sustainable Enterprise". We seek papers that are clearly and concisely written, raising innovative ideas rigorously formulated in terms of problem statements and their treatments. We welcome a diversity of paper types including empirical research, action research, design science research, case studies and applications, literature surveys or theory development. The goal is to identify and disseminate state-of-the-art research on how Enterprise Sustainability can benefit from well-articulated knowledge-based systems and practices, as well as associated methods from related disciplines—business process management, enterprise modeling, risk management or quality management.

Enterprise Sustainability raises challenges regarding complexity management, sustainable process management, and multiperspective analysis of systems or policies adopted toward the goal of meeting the “triple bottom line” of balancing social, environmental, and economic goals. A well-designed sustainability program needs strategy, systems thinking, and process thinking based on manageable knowledge assets and articulated knowledge management practices. Sustainability is about meeting the needs of the future in terms of positive social and environmental change, while preserving or enhancing operations performance; in order to accomplish this, a convergence of methods and disciplines—e.g., enterprise architecture management, business process management, quality management—is expected to support the analysis, simulation, and transformation of enterprise systems. Conceptual and computational methods in support of dedicated management approaches and action research projects are expected to disrupt the traditional way of strategizing and dealing with the complexity of sustainability initiatives. Digital transformations are expected to converge with sustainability goals, thus establishing a new generation of systems that assimilate socially and environmentally-aware indicators and processes in their operation. We hereby employ the umbrella term of Knowledge Systems for information systems that satisfy such requirements, integrate specific knowledge assets, and facilitate a knowledge-driven approach to sustainable development.

Within this context, this Special Issue aims to publish scientific work that deals with knowledge processes, systems, and management practices in support of Enterprise Sustainability. The addressed topics include but are not limited to the following:

  • Knowledge processes and knowledge work towards a sustainable enterprise;
  • Knowledge-based systems and artificial intelligence disrupting sustainability;
  • Knowledge networks and knowledge conversion for sustainable development;
  • Open knowledge systems in support of sustainability;
  • Sustainable knowledge management;
  • Modeling methods, simulation, and decision support for a sustainable enterprise;
  • Sustainable enterprise architectures;
  • Design thinking and service engineering for the sustainable enterprise;
  • Digital transformation for sustainability and sustainable digital transformation;
  • Ontology and content management for the domain specificity of sustainability;
  • Sustainability policies in business process management and quality management;
  • Reshaping organizations with knowledge-driven sustainability policies;
  • Operations management and business process re-engineering for sustainable value chains;
  • Trade-offs and risk management for sustainability;
  • Measuring sustainability.

Prof. Dr. Robert Andrei Buchmann
Guest Editor

References

  1. Spangler W., Sroufe R., Madia M., Singadivakkam J., Sustainability-focused knowledge management in a global enterprise, in Journal of Computer Information Systems 55(1):70-82, 2014
  2. Von Brocke J., Seidel S., Recker J. (eds.), Green Business Process Management: towards the Sustainable Enterprise, Springer, 2012
  3. Abbas J., Sagsan M., Impact of knowledge management practices on green innovation and corporate sustainable development: a structural analysis, in Journal of Cleaner Production 229, p. 611-620
  4. Kienzle J., Mussbacher G., Combemale B., Bastin L., Bencomo N., et al., Towards Model-Driven Sustainability Evaluation. Communications of the ACM, ACM, 2019, pp.1-10
  5. Alves D. F. R., de Campos R., Souza F. B., Sustainable development within Enterprise Architecture, in Advances in Production Management Systems, p. 552-559, Springer, 2016
  6. Mirghani M., Stankosky M., Mohamed M., An Empirical Assessment of Knowledge Management Criticality for Sustainable Development. Journal of Knowledge Management 13 (5): 271–86, 2009.
  7. Utz W., Woitsch R., A model-based environment for data services: energy-aware behavioral triggering using ADOxx, in Collaboration in a Data-rich World, pp. 265-275, Springer, 2017
  8. Cash D. W., Clark W. C., Alcock F., Dicskon N. M., Eckley N., Guston D. H., Jager J., Mitchell R. B., Knowledge systems for sustainable development, in Proceedings of the National Academy of Sciences 100(14):8086-01, 2003
  9. Lozano R., Orchestrating Organisational Changes for Corporate Sustainability. Greener Management International. 57: 43–64, 2012.

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

  • knowledge systems
  • knowledge management
  • enterprise modeling
  • business process management
  • sustainable development
  • sustainable enterprise architectures

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

21 pages, 11232 KiB  
Article
Automatic Acquisition of Failure Mode and Effect Analysis Ontology for Sustainable Risk Management
by Zobia Rehman, Claudiu Vasile Kifor, Farhana Jabeen, Sheneela Naz and Muhammad Waqar
Sustainability 2020, 12(23), 10208; https://doi.org/10.3390/su122310208 - 7 Dec 2020
Cited by 6 | Viewed by 2845
Abstract
In this piece of research, we have presented an approach to populate Failure Mode and Effect Analysis (FMEA) ontology from existing worksheets prepared by experts. FMEA is a commonly used method for risk assessment in any organization. This method is initiated by domain [...] Read more.
In this piece of research, we have presented an approach to populate Failure Mode and Effect Analysis (FMEA) ontology from existing worksheets prepared by experts. FMEA is a commonly used method for risk assessment in any organization. This method is initiated by domain experts who analyze all the associated risks to a product or process, their causes, severity, effects and mitigation actions. Besides domain experts, time and cost are the other two factors involved in successful completion of FMEA. Reusability of the knowledge produced at the end of this method can bring numerous benefits to an organization. Some ontologies are available for semantic content management of FMEA knowledge but in order to avail their full benefits, it is must that they can acquire the existing knowledge automatically. Major objective of this article is to develop an algorithm, which can populate FMEA ontology from existing worksheets. Major contribution of this work is to identify an existing FMEA ontology and its evaluation for schema and relationship richness, then its automatic population using proposed algorithm without human intervention, and finally making it a part of complete knowledge management system. Our proposed algorithm correctly mapped 1357 instances to FMEA ontology from manually prepared FMEA spreadsheets. This FMEA ontology has been queried by domain experts and it was proved to be very helpful in experts like decision-making. Full article
Show Figures

Figure 1

23 pages, 2715 KiB  
Article
An Intelligent Framework for the Evaluation of Compliance with the Requirements of ISO 9001:2015
by Jose Andres-Jimenez, Jose-Amelio Medina-Merodio, Luis Fernandez-Sanz, Jose-Javier Martinez-Herraiz and Estefania Ruiz-Pardo
Sustainability 2020, 12(13), 5471; https://doi.org/10.3390/su12135471 - 7 Jul 2020
Cited by 10 | Viewed by 5533
Abstract
A quality management system (QMS) allows an organization to analyze the needs of its customers and to define the appropriate processes for efficient production and service delivery. Customer satisfaction is an important part of this system, with a significant impact on its corporate [...] Read more.
A quality management system (QMS) allows an organization to analyze the needs of its customers and to define the appropriate processes for efficient production and service delivery. Customer satisfaction is an important part of this system, with a significant impact on its corporate sustainability. The purpose of this research is a proposal for assessing whether the QMS of an organization meets the requirements defined in the standard ISO 9001:2015. The development of the proposal follows a methodology based on the paradigm of design science research where we identify the problem and the motivation and the objectives are defined as a solution to the problem, and as a consequence, we developed an expert system based on a previously identified ISO 9001:2015 process map and transferred it to a knowledge base. The system allows the determination of the degree of compliance with the requirements of the standard: this provides valuable information to organizations, allowing them to implement improvement measures. The expert system is limited in terms of the set of identified inputs, outputs, and acceptance criteria, but its effectiveness was demonstrated through the evaluation of the system. Full article
Show Figures

Figure 1

15 pages, 2293 KiB  
Article
A Function-Based Approach for Life Cycle Management of Chemicals in the Textile Industry
by Sandra Roos, Stefan Posner, Christina Jönsson, Elisabeth Olsson, Hanna Nilsson-Lindén, Steffen Schellenberger, Mikael Larsson, Anne-Charlotte Hanning and Rickard Arvidsson
Sustainability 2020, 12(3), 1273; https://doi.org/10.3390/su12031273 - 10 Feb 2020
Cited by 2 | Viewed by 5517
Abstract
Consumer products such as clothes and footwear sometimes contain chemical substances with properties that pose a risk to human health and the environment. These substances, restricted by law or company policy, are in focus for chemicals management processes by textile retailers. However, complex [...] Read more.
Consumer products such as clothes and footwear sometimes contain chemical substances with properties that pose a risk to human health and the environment. These substances, restricted by law or company policy, are in focus for chemicals management processes by textile retailers. However, complex and non-transparent supply chains, and limited chemical knowledge, makes chemicals management challenging. Therefore, a function-based approach for life cycle management (LCM) of chemicals was developed, based on results of previous projects and evaluated using a two-step Delphi process. The resulting approach aims to help retailers identify and substitute hazardous substances in products, and consists of three parts: (i) a function-based chemicals management concept model for different levels of chemical information within the supply chain, (ii) tools for non-chemists which explain chemical information, and (iii) a continuous provision of knowledge to stakeholders (e.g., retailers) in a network. This approach is successfully implemented by over 100 retailers in the Nordic countries, providing the textile industry with practical and robust tools to manage and substitute hazardous chemicals in products and production processes. We conclude that the developed approach provides an explicit link, communication, and knowledge sharing between actors in the supply chain, which has proven important in chemicals LCM. Full article
Show Figures

Figure 1

Back to TopTop