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Knowledge Management Research & Practice

Call for Papers | The Impact of Artificial Intelligence on Knowledge Management (KM) and Business Strategic Planning (BSP) | Deadline: 25 June, 2020

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Knowledge Management Research & Practice

Knowledge management is a term that has worked its way into the mainstream of both academic and business arenas since it was first coined in the 1980s. Interest has increased rapidly during the last decade and shows no signs of abating.

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Important dates
Paper Submission Deadline: 25 June, 2020
Author notification: 26 August, 2020
Revised papers submission: 27 October, 2020
Final Acceptance: 28 December, 2020

Guest Editors

Dr. Gunasekaran Manogaran (gmanogaran@ucdavis.edu, gmanogaran@ieee.org), Big Data Scientist, University of California, Davis, USA

Dr. Hassan Qudrat-Ullah (hassanq@yorku.ca), Professor of Decision Sciences, School of Administrative Studies, York University, Toronto, Canada

Dr. Qin Xin (qinx@setur.fo), Full Professor of Computer Science, Faculty of Science and Technology, University of the Faroe Islands, Faroe Islands

 

 

Purpose

Knowledge Management is a multidisciplinary area that combines various applications like psychology, cognitive science, information theory, complexity science, social network analysis, and many more. Advancements in Knowledge Management leverage improved innovations, increased performance, and expanded knowledge both from an individual and organizational perspective. At the same time, most of the business management systems require a considerable amount of time, resources, energy, and attention to carry out various activities relating to the process of knowledge management. Thus, the integration of Knowledge Management with computational intelligence techniques can significantly reduce the amount of surveillance required to manage traditional Knowledge Management systems.

The appropriate use of Knowledge Management and Artificial Intelligence techniques can change the future of business management systems. Here AI enables the machines to collect knowledge and learn the overall business process by using a set of predefined rules and standards without any human interventions. Similarly, Knowledge Management acts as a repository were AI can obtain the knowledge and perform data classification.  In addition, business management makes use of the classification to design effective business strategic plans. This remarkable connection between AI and Knowledge Management acts as a disruptive technology that leads to the advancement in the current business management systems. In the future, the latest advancement in modern technologies can increase the number of knowledge bases; as a result, AI-based Knowledge Management systems can dominate the future business management systems with effective Knowledge Management and analytics approaches.

Since strategic planning for business is an integral part of knowledge management, the use of the intelligent mechanism is vital to acquire knowledge and process them for effective business strategy planning. Also, by understanding the gaps in the marketplace and introducing AI-based strategic planning constantly, the sales can improve consistently, fulfilling stakeholder needs. Similarly, strategic planning also serves as an outline for achieving organizational goals and helps to review the performance of the company over time intervals. The integration of AI-based Knowledge Management acts as a disruptive technology for strategic business planning, which displaces other traditional business strategic methods and processes. Moreover, this AI-based Knowledge Management offers a new innovative decision-making tool for business development; this tool helps in predicting future demand from past experiences. Also, human tasks can be automated using this technology, ensuring increased productivity. Furthermore, "learning" and "problem-solving" are the functions of AI that helps to identify the market demand and stakeholders' needs, thus helping in strengthening the organization's financial status. Artificial Intelligence-based innovative tools can provide strong confidence to business organizations by providing various insights in terms of the demand for products and services.

This Special Issue provides an opportunity for researchers and academics working in this area to publish their research articles with the real-time development of AI-based innovative tools for Strategic Business Planning and Knowledge Management in a smart organization. 

Scope and Topics

The topics of the special issue include but not limited to the following:

  • Need for AI in the development of Knowledge Management techniques
  • AI-based Knowledge Management systems for future generation computer systems
  • Challenges and opportunities behind the incorporation of AI and Knowledge Management techniques for Strategic Business Planning
  • Impact of AI on Knowledge and business management strategies
  • AI a disruptive technique for Knowledge Management and Strategic Business Planning
  • Methods and strategies for developing effective knowledgebase for Strategic Business Planning using cognitive computing techniques
  • Role of knowledge management in the development of effective Strategic Business Planning for organizations
  • Case study on AI-based Knowledge Management techniques for smart industries
  • Intelligent Data Processing Methodologies for business processing and knowledge management
  • Role of Artificial Intelligence and Expert Systems for Strategic Decision Making