Knowledge Intensive Business Processes: Theoretical Foundations and Research Challenges

Marjanovic, Olivera; Freeze, Ronald D.

doi:10.1109/hicss.2011.271

Cited by 52 publications

(58 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A recognition of merging knowledge (the knowledge supply chain) and business processes (the information value chain) is needed to extract full value from KM activities [36,37]. The knowledge supply chain, similar to the IVC, is a sequence of related knowledge-based processes that together produce a product or service [38].…”

Section: Knowledge Management (Km)mentioning

confidence: 99%

“…The KP provides a view of how the basic kernels of understanding can be combined into information, knowledge and finally wisdom ( Figure 1). There have been many papers citing the KP over the years [36,42,43,44,45,46]. The initial KP has, at its base, Data which flows upwards to Information, then to Knowledge and finally to Wisdom as the pinnacle.…”

Section: The Knowledge Pyramidmentioning

confidence: 99%

“…The initial KP has, at its base, Data which flows upwards to Information, then to Knowledge and finally to Wisdom as the pinnacle. Adaptations of the KP have consisted of reversing the flow of Data to Wisdom [43], a revised pyramid to reinforce organizational learning and the adaptation of knowledge management [45,46] and inverting the pyramid to explain business process competitive advantage [36]. Each of these representations provide insight into the identification of knowledge but each also has shortcomings in how the accumulation and changing nature of knowledge is accomplished.…”

Section: The Knowledge Pyramidmentioning

confidence: 99%

“…The inverted pyramid placed the creation of processes in the context of DIKW with the goal of creating a competitive advantage [36]. Similar to the revised pyramid, the inverted pyramid recognized the multiple combinations of data sources that could impact a business process and reinforced the concept that only a few of the combinations could result in competitive advantage.…”

Section: Inverted K Pyramid For Business Processmentioning

confidence: 99%

“…The apex of Time for the AP has been removed and contain a similar aspect explicated in the revised KP [45,46] and the inverted KP [36]. For the revised KP, the apex was removed to indicate that there is no end point for an organizations pursuit of knowledge.…”

Section: Timementioning

confidence: 99%

See 4 more Smart Citations

Analytics in the Pursuit of Knowledge: Adapting the Knowledge Pyramid

Freeze¹

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

Self Cite

View full text Add to dashboard Cite

Advances in storage leading to the Internet of Things (IOT) and Big Data has exponentially increased the Data aspect of the traditional Knowledge Pyramid-Data-Information-Knowledge-Wisdom (DIKW). This paper presents an adaptation of the Knowledge Pyramid as an Analytics Pyramid in which Time is posited to represent Wisdom as the pinnacle achievement when pursuing knowledge. Analogies of the DIKW are presented from the Analytics Pyramid as Description-Aggregation-Modeling-Time. Implementing the premise of the Analytics Pyramid focuses on an interative/repetitive movement of both individuals and organizations through all Description-Aggregation-Modeling-Time stages in order to build and obtain the Wisdom pursued in the traditional Knowledge Pyramid. This model reinforces organizational learning and the importance of adaptability when pursuing knowledge. In addition, the wisdom gained from analytics is only recognized when monitored business processes are longitudinal in nature. Organizational analytics must rely on the recognition of a changing environment (Time) in order to adapt.

show abstract

Section: Knowledge Management (Km)mentioning

confidence: 99%

Section: The Knowledge Pyramidmentioning

confidence: 99%

Section: The Knowledge Pyramidmentioning

confidence: 99%

Section: Inverted K Pyramid For Business Processmentioning

confidence: 99%

Section: Timementioning

confidence: 99%

See 3 more Smart Citations

Analytics in the Pursuit of Knowledge: Adapting the Knowledge Pyramid

Freeze¹

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

Self Cite

View full text Add to dashboard Cite

show abstract

The knowledge and process continuum

Szelągowski

Berniak-Woźny

2019

Knowl Process Manag

View full text Add to dashboard Cite

The aim of the paper is to propose the concept of the Knowledge and Process Continuum, which corresponds to the changing role of Business Process Management (BPM) in Knowledge Intensive Organizations in the Knowledge Economy. The paper is conceptual in nature and is grounded in the theories of Knowledge Management (KM) and BPM. The systematic literature review method was used in order to employ a manual search of peer-reviewed papers available in the Springer and ProQuest databases. Seventeen articles were chosen for in-depth analysis, which shows the research gap with respect to the integrated application of KM and BPM. The article is an inspiring contribution to the theoretical reflection on the current state and further evolution of BPM in the Knowledge Economy and its inseparable connection with KM. The proposed conceptual framework may facilitate the management of Knowledge Intensive Organizations to effectively capitalize on the relationship between knowledge and business processes of different nature.

show abstract

Exploring CMMN applicability to knowledge‐intensive process modeling: An empirical evaluation by modelers

Routis

Bardaki

Νικολαϊδου

et al. 2022

Knowl Process Manag

View full text Add to dashboard Cite

Knowledge‐intensive processes (KiPs) have emerged characterizing tasks that are data‐driven, change dynamically and depend on the knowledge and experience of knowledge workers. Case Management Model and Notation (CMMN) language was introduced for modeling unstructured, agile human‐centric processes. As the available Business Process Modeling (BPM) methods and practices are not adequate for modeling KiPs, this paper presents an empirical study of the applicability of CMMN to modeling KiPs. After experienced modelers designed the models of three KiPs scenarios utilizing CMMN, their perceptions were collected assessing the support of CMMN to the KiPs characteristics. Specifically, the modelers assessed the support of the newly introduced CMMN notation elements to the KiPs characteristics. Three of them, that is, knowledge‐driven, unpredictable, and goal‐oriented, were highlighted as the ones that get the greater support by CMMN when it comes to modeling KiPs; the participating modelers suggested that the applicability of CMMN to modeling KiPs is mostly reinforced by the Sentries element. Considering that in a knowledge‐driven economy, organizations are called to transform their way of thinking and manage KiPs, we value the modelers' opinions since they shall apply such practices in the future. This research is a first step to assess whether CMMN may be a “fit” for modeling KiPs. When considering the potential of CMMN for KiPs modeling, the perceptions of such real CMMN users are also first indications of the CMMN future in terms of application.

show abstract

Knowledge Intensive Business Processes: Theoretical Foundations and Research Challenges

Cited by 52 publications

References 6 publications

Analytics in the Pursuit of Knowledge: Adapting the Knowledge Pyramid

Analytics in the Pursuit of Knowledge: Adapting the Knowledge Pyramid

The knowledge and process continuum

Exploring CMMN applicability to knowledge‐intensive process modeling: An empirical evaluation by modelers

Contact Info

Product

Resources

About