scholarly journals Integrating Big Data Analytics, Systems Thinking and Viable Systems Approach Towards a Shift from Individual to Collective Intelligence and Collective Knowledge Systems

2021 ◽  
pp. 1
Author(s):  
Stefano Armenia ◽  
Francesca Loia
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Systems Thinking ◽  
System Approach ◽  
Collective Intelligence ◽  
Social Systems ◽  
Knowledge Systems ◽  
Collective Knowledge ◽  
Viable System ◽  
Internal Knowledge

Purpose – The growing complexity of social systems and the faster technology evolution make central the role of the innovative information technology in complex organisations, geared towards collective intelligence processes among the various social actors and analytical tools. These are able to foster the participant knowledge, manage the feedback through a holistic approach and hence shift organisations from a plurality of voices to an interactive intelligence representing the ultimate identity of the organisation itself. In this regard, the aim of this paper is to offer a model for managing external and internal knowledge in order to support the viability of the organisation (system) in the longer term. Design/methodology/approach – The paper adopts the interpretative lens provided by Systems Thinking, System Dynamics and Viable System Approach (vSa) to investigate the challenging domain of the knowledge and information management for complex systems as organisations. Therefore, a qualitative and interpretative approach is carried out to reflect upon Big Data approaches and Collective Knowledge Systems (CKS), embracing a system perspective. Findings – The proposed conceptual model shows the crucial role covered by the holistic managing of the external and internal knowledge that permits to align the information variety of the organisation to the context and the entities that compose it in order to create harmonic relations. Leveraging on the concepts of vicariance, bricolage and exaptation, several advantages emerge that are correlated to the capacity of the complex system to reach a greater level of survival, by adapting and dynamically evolving itself. Originality/value – The paper shows how Systems Thinking and Viable System Approach can provide deep insights into the field of information technology, evidencing the systems thinking contribution in analysing, understanding and managing dimensions and paths of social dynamics. A contribution to previous studies is provided with reference to themes as Big Data, information and knowledge management.

scholarly journals Surfing the complex interaction between new technology and norms: A resistance or resilience issue? Insights by the Viable System Approach (VSA)

2020 ◽  
Vol 9 ◽  
pp. 93-104
Author(s):  
Sergio Barile ◽  
Cristina Simone ◽  
Antonio La Sala ◽  
Marcelo Enrique Conti
Keyword(s):  
Technological Innovation ◽  
System Approach ◽  
New Technology ◽  
Social Systems ◽  
Complex Interaction ◽  
Human Condition ◽  
Human Interaction ◽  
Dyadic Relationship ◽  
The Social ◽  
Viable System

The paper investigates the complex interaction between technological innovation and norms: a crucial dynamic to facing the severe challenges of the Anthropocene.On the one hand, the sedimentation of norms acts as the genetic memory of a society. Allowing a reduction in the uncertainty of human condition and ensuring greater predictability of human interaction, the set of norms tend to activate a system of constraints that normalize and legitimate technological innovations.On the other hand, technological innovation is one of the most unpredictable and non-linear sources of change. It demands legitimization for what in the past were excluded or prohibited a priori (e.g. behaviors, ethics): this may trigger a “decoupling” process from the extant set of norms. Nevertheless, what decoupling should be legitimized? A wicked problem arises, and forking paths emerge in the socio-economic landscape.Leading the tension between new technology (source of unpredictability) and the taken-for-granted norms (source of predictability) is crucial if the aim is to linking effectiveness and efficiency to viable sustainability. While the (still dominant) cartesian approach considers norms and new technology as separate elements of the social system, system thinking enlightens the interaction between them. This helps to unveil hidden options/feedbacks in the decoupling-recoupling process between technological innovation and the evolution of norms enriching the information variety of the decision-makers (policy makers, citizens, urban planners, etc.).The dynamics that govern this dyad, however, are not linear: norms, in fact, do not have the same reactivity to absorb (recouple) the change triggered by new technologies (decoupling from the extant set of norms).Although the relevance of the issue, it has been often neglected, or at least not taken in the right consideration. Therefore, aiming to investigate this dyadic relationship, the paper focuses on the ambiguous role technology plays in enabling resilience: sometimes it acts as a resilience amplifier; sometimes it is a resilience inhibitor (and even a steel cage); sometimes it provokes an undesirable deviation from the taken-for-granted codified rules.In particular, aiming to contribute in filling this gap, and rooting in the Viable System Approach (VSA), the paper investigates why and how in some cases the interaction between technological innovation and norms leads to resistance towards change or acts as a resilience amplifier in other cases.The paper is structured as follows: after an Introduction underlying the need to understanding the increasing tension between new technology and norms, Section 2 deals with the contribution of the VSA in understanding the social systems; then, rooting in the VSA and moving from the concept of information variety, Section 3 frames the complex interplay between new technology and taken-for-granted norms as one of the most dramatic “resistance-resilience” issue of the Anthropocene era; Section 4 proposes a more comprehensive framework discussing the range “resilience-resistance-vulnerability” and presents final reflections.

scholarly journals Development of Digital Repository system for Knowledge Management by Using Collective Intelligence and Big data for SMEs

2020 ◽  
Vol 10 (2) ◽  
pp. 167-173
Author(s):  
Thanapol Namnual ◽  
◽  
Panita Wannapiroon
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Knowledge Management ◽  
Data Analysis ◽  
Standard Deviation ◽  
Rating Scale ◽  
Collective Intelligence ◽  
Knowledge Management System ◽  
Digital Repository ◽  
Expert Opinions

The purposes of the research were 1) to design a framework for a Digital Repository system for Knowledge management By Using Collective Intelligence and Big data for SMEs. And 2) to evaluate the appropriateness of the framework by experts. The 10 individuals chosen were experts in the field of Information Technology by purposive sampling. The data collection tools were the system and the assessment of an appropriate model using a 5-level rating scale. The statistics used in the data analysis were means and standard deviation. The results showed that 1) The framework for a Digital Repository system for Knowledge management By Using Collective Intelligence and Big data for SMEs consisted of 3 components as followed: a) Knowledge Management, b) Cloud Knowledge Management System, and c) User Interface 2) the expert opinions were that it was absolutely appropriate in overall.

Analytical Study on Big Data

2018 ◽  
Vol 8 (5) ◽  
pp. 75
Author(s):  
Vivek Raich ◽  
Pankaj Maurya
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Decision Maker ◽  
Analytical Study ◽  
Large Data ◽  
Decision Makers ◽  
Continuous Increase ◽  
Analytic Methods ◽  
Data Store ◽  
Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

scholarly journals Towards Implementation of Big Data Concepts in a Pharmaceutical Company

2020 ◽  
Vol 10 (1) ◽  
pp. 343-356
Author(s):  
Snezana Savoska ◽  
Blagoj Ristevski
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Data Analysis ◽  
Pharmaceutical Company ◽  
Big Data Analytics ◽  
Structured Interviews ◽  
Holistic View ◽  
Analysis Methodology ◽  
Decision Making Processes ◽  
Research Demands

AbstractNowadays, big data is a widely utilized concept that has been spreading quickly in almost every domain. For pharmaceutical companies, using this concept is a challenging task because of the permanent pressure and business demands created through the legal requirements, research demands and standardization that have to be adopted. These legal and standards’ demands are associated with human healthcare safety and drug control that demands continuous and deep data analysis. Companies update their procedures to the particular laws, standards, market demands and regulations all the time by using contemporary information technology. This paper highlights some important aspects of the experience and change methodology used in one Macedonian pharmaceutical company, which has employed information technology solutions that successfully tackle legal and business pressures when dealing with a large amount of data. We used a holistic view and deliverables analysis methodology to gain top-down insights into the possibilities of big data analytics. Also, structured interviews with the company’s managers were used for information collection and proactive methodology with workshops was used in data integration toward the implementation of big data concepts. The paper emphasizes the information and knowledge used in this domain to improve awareness for the needs of big data analysis to achieve a competitive advantage. The main results are focused on systematizing the whole company’s data, information and knowledge and propose a solution that integrates big data to support managers’ decision-making processes.

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