scholarly journals Knowledge Management Infrastructure Framework for Enhancing Knowledge-Intensive Business Processes

2021 ◽  
Vol 13 (20) ◽  
pp. 11387
Author(s):  
Itzhak Aviv ◽  
Irit Hadar ◽  
Meira Levy
Keyword(s):  
Knowledge Management ◽  
Business Processes ◽  
Business Outcomes ◽  
Grounded Theory Research ◽  
Operational Flow ◽  
Knowledge Intensive Organizations ◽  
Knowledge Intensive ◽  
Essential Contribution ◽  
Theory Research

In this age of digital transformation, knowledge-intensive organizations strive to improve business outcomes and sustainability by improving their knowledge-intensive business processes (KIBPs) to obtain a competitive advantage. Many researchers have claimed that KIBP enhancement is possible through knowledge management (KM) initiatives supported by an effective KM infrastructure. Current KM infrastructures deal with formal KM procedures, where knowledge is created, stored, assimilated, and disseminated. Such activities, however, are designed to be performed outside of the business process. KM infrastructures are expected to be more effective when they include specific real-time knowledge procedures integrated into the operational flow of KIBPs. This paper explores how modern KM infrastructures can support KIBPs, considering both formal and operational KM procedures. Our study’s essential contribution is the conceptual KM infrastructure framework (KMIF) developed based on grounded theory research. This infrastructure provides a systematic and robust approach, starting from the ground up, for structuring organizational knowledge assets across a range of KIBP environments. We define operational knowledge procedures directly involved in KIBPs, adding a layer to KM infrastructures beyond the formal knowledge procedures. A mixed-method case study was conducted to demonstrate and evaluate the proposed KMIF for enhancing business outcomes and sustainability of knowledge-intensive organizations.

Knowledge Management Practices in Brazilian Software Organizations

2010 ◽  
pp. 213-226
Author(s):  
Tatiana de Almeida Furquim ◽  
Sueli Angelica do Amaral
Keyword(s):  
Knowledge Management ◽  
Knowledge Acquisition ◽  
Management Practices ◽  
Knowledge Practices ◽  
Software Companies ◽  
Knowledge Management Practices ◽  
Knowledge Intensive Organizations ◽  
Knowledge Intensive ◽  
Software Organization

This chapter explores knowledge management practices in a software organization. It argues that software companies are knowledge intensive organizations and therefore they must properly address the matter of knowledge management. This case study highlights the importance of understanding the practices of knowledge management and describes knowledge acquisition, protection, transfer, and application practices in the context of a Brazilian software organization. The authors hope that this chapter increases understanding of existing knowledge practices in software organizations.

scholarly journals Digital Transformation of Forest Services in Finland—A Case Study for Improving Business Processes

Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 781
Author(s):  
Ville Kankaanhuhta ◽  
Tuula Packalen ◽  
Kari Väätäinen
Keyword(s):  
Business Processes ◽  
Innovation Process ◽  
Single Type ◽  
Stand Management ◽  
Young Stand ◽  
Commercial Viability ◽  
Soil Preparation ◽  
Knowledge Intensive ◽  
Agile Software

This case study introduces an innovation and development concept for agile software tools for the improvement of the productivity and customer experience of forest services. This need was recognized in the context of the opening of forest data and the development of service platforms for a forest-based bioeconomy in Finland. The forest services that were studied covered a continuum from a single type of work, e.g., soil preparation and young stand management through timber procurement, to comprehensive forest property management services. The study concentrated on the needs of micro-, small, and medium-sized enterprises (SMEs), which provide either retail- or business to business (B2B) services as sub-contractors. In addition, the challenges and bottlenecks in service processes detected by other stakeholders were considered. The prevailing service processes were conceptually modelled in order to search for opportunities for improvements in business and ecosystem services, i.e., agile software concepts. For example, we examined whether it would be possible to create opportunities for flexible operational models for precision, resilience, and protection of valuable microsites in forests. These software concepts were developed and evaluated in co-operation with the stakeholders in a co-creative workshop. The technological feasibility and commercial viability of the concepts, as well as the desirability for the customer were considered. The results of this business development process—i.e., agile software concepts and their anticipated benefits—were provided for further evaluation. In addition to the practical implications of this kind of innovation process tested, the potential of these kinds of agile tools for the further development of knowledge-intensive service processes was further discussed.

Integration between knowledge management and business process management and its impact on the decision making process in the construction sector: a case study of Jordan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sami Wasef Abuezhayeh ◽  
Les Ruddock ◽  
Issa Shehabat
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Business Process Management ◽  
Process Management ◽  
Business Processes ◽  
Decision Makers ◽  
Decision Making Process ◽  
Construction Sector ◽  
Content Type

Purpose The purpose of this paper is to investigate and explain how organizations in the construction sector can enhance their decision-making process (DMP) by practising knowledge management (KM) and business process management (BPM) activities. A conceptual framework is developed that recognises the elements that impact DMP in terms of KM and BPM. The development of this framework goes beyond current empirical work on KM in addition to BPM as it investigates a wider variety of variables that impact DMP. Design/methodology/approach A case study is undertaken in the context of the construction industry in Jordan. A theoretical framework is developed and assessment of the proposed framework was undertaken through a questionnaire survey of decision-makers in the construction sector and expert interviews. Findings The outcomes of this research provide several contributions to aid decision-makers in construction organizations. Growth in the usage of KM and BPM, in addition to the integration between them, can provide employees with task-related knowledge in the organization’s operative business processes, improve process performance, promote core competence and maximise and optimise business performance. Originality/value Through the production of a framework, this study provides a tool to enable improved decision-making. The framework generates a strong operational as well as theoretical approach to the organizational utilization of knowledge and business processes.

scholarly journals Operationalization of knowledge management in knowledge-intensive Pakistani banks: a qualitative case study

2017 ◽  
Vol 1 (1) ◽  
pp. 36-45
Author(s):  
Salman Bashir Memon ◽  
◽  
Wajid Hussain Rizvi ◽  
Syed Sumaiya ◽  
◽  
...  
Keyword(s):  
Knowledge Management ◽  
Qualitative Case Study ◽  
Knowledge Intensive

Should knowledge management in organizations be rebranded?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maayan Nakash ◽  
Dan Bouhnik
Keyword(s):  
Knowledge Management ◽  
Organizational Context ◽  
Theory Approach ◽  
Content Type ◽  
Study Approach ◽  
Qualitative Research Methodology ◽  
Knowledge Intensive ◽  
Strategic Perspective ◽  
First Time

Purpose This study aims to examine the relevance of the term “knowledge management” (KM) in the organizational context, and deliberates whether there is a need for rebranding of this field. It also enriches the understanding regarding the appropriateness of the term “KM,” which was chosen to represent the discipline. Design/methodology/approach This study adopted a qualitative research methodology, and a case study approach was followed by conducting 19 semi-structured in-depth interviews with international KM experts working in a global consulting firm. The data were analyzed using a thematic analysis method based on the grounded theory approach. Findings The findings provide empirical evidence that attempts are being made to move away from the label “KM” in certain knowledge-intensive organizations. This study sheds light on the challenges associated with this term, which leads some to believe that the name of the discipline needs to change. Originality/value The present pioneering research contributes to empirical knowledge through investigation of an unexplored scientific field. To the best of the authors’ knowledge, for the first time, its uniqueness can be established by the fact that the opinions of KM professionals are being heard regarding the “KM” label, as well as the need for a rebranding of this discipline in the organizational context. From a practical and strategic perspective, this study suggests that the research community and practitioners pay attention to attempts to shift away from the existing title identified in organizational practice.

Ontology-Based Competency Management

2005 ◽  
pp. 302-324 ◽  
Author(s):  
Miguel-Angel Sicilia
Keyword(s):  
Knowledge Management ◽  
Human Resource ◽  
Knowledge Creation ◽  
Learning Activities ◽  
Complex Process ◽  
Knowledge Intensive Organizations ◽  
Knowledge Intensive ◽  
Organizational Needs ◽  
Dynamic Cycle ◽  
Competency Management

Learning activities can be considered the final outcome of a complex process inside knowledge intensive organizations. This complex process encompasses a dynamic cycle, a loop in which business or organizational needs trigger the necessity of acquiring or enhancing human resource competencies that are essential to the fulfillment of the organizational objectives. This continuous evolution of organizational knowledge requires the management of records of available and required competencies, and the automation of such competency handling thus becomes a key issue for the effective functioning of knowledge management activities. This chapter describes the use of ontologies as the enabling semantic infrastructure of competency management, describing the main aspects and scenarios of the knowledge creation cycle from the perspective of its connection with competency definitions.

A Multi-Agent Knowledge Management System for Reactive and Proactive Knowledge Supply

2012 ◽  
pp. 203-218 ◽  
Author(s):  
Carlos M. Toledo ◽  
Omar Chiotti ◽  
María R. Galli
Keyword(s):  
Knowledge Management ◽  
Management System ◽  
Business Processes ◽  
Workflow Management ◽  
Agent Based ◽  
Workflow Pattern ◽  
Structured Information ◽  
Multi Agent ◽  
Management Approaches ◽  
Knowledge Intensive

This chapter presents an agent-based architecture for integrating organizational knowledge repositories and business processes orchestrated by a workflow management system. This architecture proactively provides relevant knowledge to workflow tasks considering their context, and stores the information generated by its execution for future requirements. It describes components of the architecture, models a multi-agent system that enables the integration, presents a strategy to annotate and retrieval knowledge of non-structured information sources, and defines a new workflow pattern to be used in knowledge intensive tasks in order to make possible the knowledge provision. This architecture allows workers to count, in a proactive way, with all necessary information for the task executions without suspending their activities to retrieve information scattered in the organization. It reduces the wasted time in manual knowledge searches included in mostly knowledge management approaches.

Developing and Maintaining Knowledge Management Systems for Dynamic, Complex Domains

2011 ◽  
pp. 203-229 ◽  
Author(s):  
Lisa J. Burnell ◽  
John W. Priest ◽  
John R. Durrett
Keyword(s):  
Knowledge Management ◽  
Business Processes ◽  
Systems Development ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Agent Architectures ◽  
Knowledge Resources ◽  
Knowledge Based ◽  
Development Processes

An effective knowledge-based organization is one that correctly captures, shares, applies and maintains its knowledge resources to achieve its goals. Knowledge Management Systems (KMS) enable such resources and business processes to be automated and are especially important for environments with dynamic and complex domains. This chapter discusses the appropriate tools, methods, architectural issues and development processes for KMS, including the application of Organizational Theory, knowledge-representation methods and agent architectures. Details for systems development of KMS are provided and illustrated with a case study from the domain of university advising.

Management of Knowledge in New Product Development in Portuguese Higher Education

2011 ◽  
pp. 149-168 ◽  
Author(s):  
Maria Manuel Mendes ◽  
Jorge F.S. Gomes ◽  
Bernardo Batiz-Lazo
Keyword(s):  
Knowledge Management ◽  
Product Development ◽  
New Product Development ◽  
New Product ◽  
Development Project ◽  
Knowledge Process ◽  
Product Development Project ◽  
Knowledge Intensive ◽  
Portuguese Higher Education

This chapter uses key concepts in the knowledge management literature to analyse the procedures and practices used by a team during a new product development project. More precisely, the knowledge process or knowledge cycle is used as a means to examine issues relating to knowledge identification, creation, storage, dissemination, and application in new product development. Results from the case study also suggest that the knowledge process may be valuable in assessing the structural elements of knowledge management, but fails to provide a more comprehensive explanation of the dynamics and complexities involved. This suggests that more elaborate models are needed to explain how knowledge is created, shared and used in knowledge-intensive processes.

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