scholarly journals Understanding the Transformation to a Knowledge-Based Health Bioeconomy: Exploring Dynamics Linked to Preventive Medicine in Kenya

2021 ◽  
Vol 13 (21) ◽  
pp. 12162
Author(s):  
Ruth Oriama ◽  
Andreas Pyka
Keyword(s):  
System Dynamics ◽  
Preventive Medicine ◽  
Complex Adaptive System ◽  
Turnaround Time ◽  
Knowledge Generation ◽  
Structured Interviews ◽  
Leverage Points ◽  
Knowledge Based ◽  
Complex Adaptive ◽  
Future Policy

The bioeconomy transition is seen as a means to achieving industrial competitiveness. Targeted actions on leverage points can have specific effects on transitional changes in system dynamics; these actions have yet to be identified in the context of the knowledge-based health bioeconomy in Kenya. This paper employs system dynamics and grounded theory to identify causations linked to the feedback mechanisms in a complex adaptive system specific to preventive medicine in Kenya. The causal relations identified will allow for extended empirical interrogations. We conducted sixteen semi-structured interviews with key informants using purposive and theoretical sampling. Through these interviews, we obtained detailed information on trends for leverage points for a transition to a bioeconomy in Kenya. We developed three qualitative themes along the structure of information flows, rules, and goals of the system. In addition, we determined the overall perception of the health bioeconomy and elaborated stakeholder-specific applications. We identified a dissociation as a general perception that knowledge generation is the preservation of the public sector. Government effectiveness was found to affect public-service turnaround time, transparency, and regulatory interventions. Finally, we identified weak network failures as the key system failures whose functional deficiencies can be exploited for future policy legitimation.

scholarly journals A Pattern of Collaborative Networking for Enhancing Sustainability of Smart Cities

2020 ◽  
Vol 12 (3) ◽  
pp. 1042
Author(s):  
Corina M. Rădulescu ◽  
Svitlana Slava ◽  
Adrian T. Rădulescu ◽  
Rita Toader ◽  
Diana-Cezara Toader ◽  
...  
Keyword(s):  
Adaptive System ◽  
Complex Adaptive System ◽  
Smart Cities ◽  
Knowledge Based ◽  
Collaborative Tools ◽  
Innovation Cluster ◽  
The Social ◽  
Collaborative Networking ◽  
Complex Adaptive ◽  
Use Of Knowledge

This paper represents a research response to the current vision on transformations regarding the capacity building of smart cities focused towards sustainability, by addressing the knowledge based urban development and collaborative tools that support the development, dissemination, and use of knowledge. The purpose of this paper is to develop a collaborative pattern of knowledge networking, focusing on sustainability goals within a smart city concept, using the logic of the Complex Adaptive System (CAS). The study was carried out in an innovation cluster in Romania; the Social Network Analysis (SNA) was used as a tool to perform the study. The results of this analysis, due to the suggested networking, have led to delimitation of the roles that Groups of Competences play to enhance the sustainability of smart cities in areas where the use of knowledge has the greatest impact. Results show that the success of the smart solutions’ implementation depends on how the social and competence structures of the network are shaped and whether it permanently adapts to fit the sustainability objectives in the considered areas.

scholarly journals System Dynamics versus Agent-Based Modeling: A Review of Complexity Simulation in Construction Waste Management

2018 ◽  
Vol 10 (7) ◽  
pp. 2484 ◽  
Author(s):  
Zhikun Ding ◽  
Wenyan Gong ◽  
Shenghan Li ◽  
Zezhou Wu
Keyword(s):  
Waste Management ◽  
System Dynamics ◽  
Complex Adaptive System ◽  
Agent Based Modeling ◽  
Effective Management ◽  
Construction Waste ◽  
Agent Based ◽  
Complex Adaptive ◽  
Research Findings ◽  
Novel Model

The environmental impacts caused by construction waste have attracted increasing attention in recent years. The effective management of construction waste is essential in order to reduce negative environmental influences. Construction waste management (CWM) can be viewed as a complex adaptive system, as it involves not only various factors (e.g., social, economic, and environmental), but also different stakeholders (such as developers, contractors, designers, and governmental departments) simultaneously. System dynamics (SD) and agent-based modeling (ABM) are the two most popular approaches to deal with the complexity in CWM systems. However, the two approaches have their own advantages and drawbacks. The aim of this research is to conduct a comprehensive review and develop a novel model for combining the advantages of both SD and ABM. The research findings revealed that two options can be considered when combining SD with ABM; the two options are discussed.

Advancing the understanding of pharmaceutical supply chain resilience using complex adaptive system (CAS) theory

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emilia Vann Yaroson ◽  
Liz Breen ◽  
Jiachen Hou ◽  
Julie Sowter
Keyword(s):  
Supply Chain ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Negative Impact ◽  
Exploratory Research ◽  
Structured Interviews ◽  
Pharmaceutical Supply Chain ◽  
Content Type ◽  
Complex Adaptive ◽  
The Impact

Purpose The purpose of this study was to advance the knowledge of pharmaceutical supply chain (PSC) resilience using complex adaptive system theory (CAS). Design/methodology/approach An exploratory research design, which adopted a qualitative approach was used to achieve the study’s research objective. Qualitative data were gathered through 23 semi-structured interviews with key supply chain actors across the PSC in the UK. Findings The findings demonstrate that CAS, as a theory, provides a systemic approach to understanding PSC resilience by taking into consideration the various elements (environment, PSC characteristics, vulnerabilities and resilience strategies) that make up the entire system. It also provides explanations for key findings, such as the impact of power, conflict and complexity in the PSC, which are influenced by the interactions between supply chain actors and as such increase its susceptibility to the negative impact of disruption. Furthermore, the antecedents for building resilience strategies were the outcome of the decision-making process referred to as co-evolution from a CAS perspective. Originality/value Based on the data collected, the study was able to reflect on the relationships, interactions and interfaces between actors in the PSC using the CAS theory, which supports the proposition that resilience strategies can be adopted by supply chain actors to enhance this service supply chain. This is a novel empirical study of resilience across multiple levels of the PSC and as such adds valuable new knowledge about the phenomenon and the use of CAS theory as a vehicle for exploration and knowledge construction in other supply chains.

Miaoxia Community Kitchen

2019 ◽  
pp. 1-28
Author(s):  
Peter Hasdell ◽  
Hok Bun Ku ◽  
Jze Yi Kuo
Keyword(s):  
Participatory Design ◽  
Social Innovation ◽  
Complex Adaptive System ◽  
Social Enterprises ◽  
Knowledge Generation ◽  
Social Design ◽  
Sustainable Rural Development ◽  
Spatial Design ◽  
Complex Adaptive ◽  
Innovation And Change

The collaborative research in rural Sichuan involved two disciplines: the applied social sciences and spatial design and their research methodologies and action research provided the “software” as community engagement and social organization and the development design “hardware” outcomes through participatory design processes. This resulted in a community kitchen that enabled villagers to develop social enterprises and collective organizations. The outcomes produced greater cohesiveness and self-organization, helping to rejuvenate a stagnant village. The repositioning of design within dynamic social processes as a socio-material assembly or as design together with its social attributes, expands the idea that the participatory design can be a complex adaptive system of knowledge generation. This has broader implications in outlining how collaborative social design approaches positively impact sustainable rural development, generating an understanding of resources, capacities, and capabilities as local knowledge ecologies, and tools of social innovation and change.

Kuwait Urban App

2018 ◽  
pp. 186-203
Author(s):  
Robert H. Gurney III ◽  
Anas Alomaim ◽  
Jawaher Al-Bader
Keyword(s):  
Urban Landscape ◽  
Complex Adaptive System ◽  
Smart Phone ◽  
Research Process ◽  
Power Structures ◽  
Software Applications ◽  
Knowledge Based ◽  
Urban Planning And Design ◽  
Complex Adaptive ◽  
Social Environmental

Through an investigation of social media and contemporary smart phone applications, the urban landscape of Kuwait is analyzed to propose a method for knowledge-based urban development (KBUD). Historically speaking, urban planning and design have been dominated by a formalized methodology that seeks to reinforce existing power structures. The promise of KBUD is a more balanced approach towards development, considering economic, social, environmental, and cultural factors. The chapter suggests an up-to-date method of research that consists of three overlapping stages, starting with collecting big data through cellphone software applications, followed by a set of interviews with several entities and ending with a method of behavioral mapping and space syntax. This cross-referenced research process encapsulates the multifaceted approach of KBUD that would produce a complex adaptive system and an underlying framework to help understand the non-linear interactions between the local populations in Kuwait.

Mathematical Formalism and Political-Economic Content

2012 ◽  
pp. 82-95 ◽  
Author(s):  
D. Foley
Keyword(s):  
Political Economy ◽  
Statistical Methods ◽  
Complex Adaptive System ◽  
Economic Modeling ◽  
Qualitative Properties ◽  
Mathematical Methods ◽  
Econometric Methods ◽  
Statistical Fluctuations ◽  
Complex Adaptive ◽  
New Thinking

Mathematical methods are only one moment in a layered process of theory generation in political economy, which starts from Schumpeterian vision, progresses to the identification of relevant abstractions, the development of mathematical and quantitative models, and the confrontation of theories with empirical data through statistical methods. But today the relevant abstract problems of political economy are modified to fit available mathematical tools. The role of empirical research in disciplining theoretical speculation, on which the scientific traditions integrity rests, was undermined by specific limitations of nascent econometric methods, and usurped by ex cathedra methodological fiats of theorists. These developmentssystematically favored certain ideological predispositions of economicsas a discipline. There is abundant room for New Thinking in political economy starting from the vision of the capitalist economy as a complex, adaptive system far from equilibrium, including the development of the theory of statistical fluctuations for economic interactions, redirection of macroeconomics and financial economics from path prediction toward an understanding of the qualitative properties of the system, introduction of constructive and computable methods into economic modeling, and the critical reconstruction of econometric statistical methods.

Hybridität als Motor und als Ergebnis von Sprachwandel

Glottotheory ◽  
2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Csaba Földes
Keyword(s):  
Language Development ◽  
Cultural Production ◽  
Language Change ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Explanatory Variable ◽  
Essential Factor ◽  
Language Functions ◽  
Complex Adaptive ◽  
Linguistic Innovation

AbstractThis paper deals with constellations in which, as consequences of linguistic interculturality, elements of two or more languages encounter each other and result in something partially or completely new, an – occasionally temporary – “third quality”, namely hybridity. The paper contributes to the meta-discourse and theory formation by questioning the concept, term and content of “linguistic hybridity”. It also submits a proposal for a typology of linguistic-communicative hybridity that consists of the following prototypical main groups, each with several subtypes: (1) language-cultural, (2) semiotic, (3) medial, (4) communicative, (5) systematic, (6) paraverbal and (7) nonverbal hybridity. At last, the paper examines hybridity as an explanatory variable for language change. In conclusion, hybridity is generally a place of cultural production, with special regard to communication and language it is potentially considered as an incubator of linguistic innovation. Hybridity can be seen as the engine and as the result of language change, or language development. It represents an essential factor by which language functions and develops as a complex adaptive system. Hybridity operates as a continuous cycle. By generating innovation, it triggers language change, which in turn, leads to further and new hybridizations. The processuality of hybridity creates diversity, while at the same time it can cause the vanishing of diversity.

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