Supporting interoperability in complex adaptive enterprise systems: A domain specific language approach

PurposeThe aim is to investigate the state of complex adaptive system (CAS) theory in the organizational theory literature and to provide a map for future studies of CAS theory.Design/methodology/approachAbstracts were searched via electronic database and a range of recently published (1996‐2004) books and articles were identified that contained a relatively concise description of CAS. Content analysis is used to deconstruct the CAS descriptions into “component concepts.” Those concepts are analyzed from multiple viewpoints.FindingsThere is no single, shared, sense of CAS theory. Differing understandings of CAS theory are identified based on “expert version” and “most popularly identified concepts.” Also, differences and similarities are identified between an “academic” version of CAS and a version developed by those who are influenced by both academic learning and practical experience.Research limitations/implicationsStudy is limited to concise definitions of CAS, so could be improved by including more lengthy conversations. Additionally, study is limited to organizational theory, so may be less applicable in other disciplines.Practical implicationsWhen working within a CAS framework, academics should specify their CAS perspective to improve clarity of their work. When using a CAS framework to study organizations, researchers should include a comprehensive suite of concepts. Though not described in depth, no effective application of CAS for organizational change were found.Originality/valueFor those who study CAS theory and theory of theory, this paper provides an important benchmark by identifying a bifurcation in the evolution of CAS theory.

Innovation team is an independent and open complex adaptive system, which provides new ideas for recognizing and understanding the inner operating mechanism of innovation teams. This article analyzed the mechanisms of communication and exchange, competition and cooperation, incentive and con-straint as well as the conflict management from the perspective of complex adaptive system. Key words: Innovation team; Complex adaptive system; Operating mechanism

BackgroundIrrational use of antibiotics is proving to be a major concern to the health systems globally. This results in antibiotics resistance and increases health care costs. In Iran, despite many years of research, appreciable efforts, and policymaking to avoid irrational use of antibiotics, yet indicators show suboptimal use of antibiotics, pointing to an urgent need for adopting alternative approaches to further understand the problem and to offer new solutions. Applying the Complex Adaptive Systems (CAS) theory, to explore and research health systems and their challenges has become popular. Therefore, this study aimed to better understand the complexity of the irrational use of antibiotics in Iran and to propose potential solutions.MethodThis research utilized a CAS observatory tool to qualitatively collect and analyse data. Twenty interviews and two Focus Group discussions were conducted. The data was enriched with policy document reviews to fully understand the system. MAXQDA software was used to organize and analyze the data.ResultWe could identify several diverse and heterogeneous, yet highly interdependent agents operating at different levels in the antibiotics use system in Iran. The network structure and its adaptive emergent behavior, information flow, governing rules, feedback and values of the system, and the way they interact were identified. The findings described antibiotics use as emergent behavior that is formed by an interplay of many factors and agents over time. According to this study, insufficient and ineffective interaction and information flow regarding antibiotics between agents are among key causes of irrational antibiotics use in Iran. Results showed that effective rules to minimize irrational use of antibiotics are missing or can be easily disobeyed. The gaps and weaknesses of the system which need redesigning or modification were recognized as well.ConclusionThe study suggests re-engineering the system by implementing several system-level changes including establishing strong, timely, and effective interactions between identified stakeholders, which facilitate information flow and provision of on-time feedback, and create win-win rules in a participatory manner with stakeholders and the distributed control system.

This study adopts a systemic view to investigate societal resilience within the whole-of-society framework for crisis preparedness, focusing on best practices, challenges, and solutions. Finland serves as the case study due to its pioneering position in crisis preparedness and its adoption of a comprehensive preparedness model that encompasses relationships and interactions among diverse stakeholders. In this study, the Finnish preparedness system is illustrated and analysed through the lens of complex adaptive systems (CAS). Data are collected through interviews with security actors representing different stakeholder groups, including civil society, businesses, and the public sector. An interpretative approach synthesises insights from literature, reports, and stakeholder interactions to co-create knowledge. The analysis covers the CAS tenets of context, relational constitution, adaptive capacity, emergence, and openness. The study presents an exploratory model anchored in CAS theory, incorporating key practices, processes, and adaptation loops integral to societal resilience from a systemic perspective in the Finnish context. From a theoretical point of view, this study contributes to CAS theory by exploring the role of context as a slow-changing variable, which is often considered a constant in CAS. Furthermore, while emergent behaviour is a critical component of CAS, most studies explore the emergent behaviour of a system within a short time span. However, the findings of this study highlight the importance of long-term emergent behaviour in addition to short-term behaviour. From a practical standpoint, this study not only explores best practices but also identifies the challenges of the Finnish system and provides a benchmark for other countries to develop their own crisis preparedness. However, replicating the system elsewhere may be challenging due to certain unique contextual factors.

Learning in organizations, and the competence the organization thereby obtains for performing its core tasks, has come into ever sharper focus when attempts have been made to explain the degree of competitiveness of companies. Much learning takes place when people interact, converse, or co-act. In their research, the current authors have found themselves in need of a new concept, relatonic, that can be applied to the study of interaction and relations at organizational level. To focus interactions and relations is important for all organizations, and extra important for networked and virtual organizations, where persons not as often meet naturally just by working close to each other. The authors have defined and used the concept on the basis of their respective theoretical platforms. These concern recent thinking within the theories of workplace learning (WPL) and organization pedagogics (Döös, 2004, 2007) and theories of complex adaptive systems (CAS) (Backström, 2004). The possibility of a joint definition of the concept of relatonics has been explored (Backström & Döös, 2005), thereby initiating integration of parts of the theories of WPL and CAS. Next, in the Background, follows the joint definition of relatonics and the concept relatonic is expounded from a CAS perspective. Thereafter, follows a description of practical implications of relatonics. The aim is to describe the importance of relatonics for networked and virtual organizations. The main underlying problem concerns which opportunities for everyday learning and competence development are offered in working life, both at an individual and organizational level, but also the problem of stabilizing and integrating organizations composed of relatively autonomous parts.

As a complex adaptive system (CAS) itself, the regional innovation system (RIS) is, whether in terms of features, operating mode or evolution, in line with the essential requirement of the CAS. Based on the CAS theory, the analysis and study on the RIS can not only shed light upon the nature of the RIS but help to better build and improve the system, so that the RIS can play a leading role in supporting a sustained regional economic development. From the perspective of CAS, this paper analyzes the complex adaptive features of the RIS and then introduces a RIS model based on the CAS theory, which in turn proves that it is of significant theoretical and practical importance to study the RIS in light of the CAS theory.

PurposeIn the era of industry 4.0, managing the design is a challenging mission. Within a dynamic environment, several disciplines have adopted the complex adaptive system (CAS) perspective. Therefore, this paper aims to explore how we may deepen our understanding of the design process as a CAS. In this respect, the key complexity drivers of the design process are discussed and an organizational decomposition for the simulation of the design process as CAS is conducted.Design/methodology/approachThe proposed methodology comprises three steps. First, the complexity drivers of the design process are presented and are matched with those of CAS. Second, an analysis of over 111 selected papers is presented to choose the appropriate model for the design process from the CAS theory. Third, the paper provides methodological guidelines to develop an organizational decision support system that supports the complexity of the design process.FindingsAn analysis of the key drivers of design process complexity shows the need to adopt the CAS theory. In addition to that, a comparative analysis between all the organizational methodologies developed in the literature leads the authors to conclude that agent-oriented Software Process for engineering complex System is the appropriate methodology for simulating the design process. In this respect, a system requirements phase of the decision support system is conducted.Originality/valueThe originality of this paper lies in the fact of analysing the complexity of the design process as a CAS. In doing so, all the richness of the CAS theory can be used to meet the challenges of those already existing in the theory of the design.

Knowledge management (KM) is a newly emerging management mode, which now needs to solve its sustainable development for promoting the learning and the innovation of organizational knowledge in the complex environment. Complex adaptive system (CAS) can help to explain the complexity connotation of KM and integrate all processes of KM for making KM adapt the changeful environment. This paper explores the connotation of KM from the perspective of CAS and then proposes the suitable developing framework of KM based on CAS.lt hopes to provide the way to promote the sustainable development of KM by using the theory of CAS.

PurposeThe purpose of this paper is to define and analyze the innovation system of China's software industry in order to build its innovation capability.Design/methodology/approachFrom a complex adaptive systems (CAS) perspective, the authors researched the constitution and operating mechanism of China's software industry innovation system. By using methods and theories of CAS theory, the innovation problems of the software industry in China were analyzed and valuable suggestions put forth for its future development.FindingsInnovation system is one kind of complex systems and it has the characteristics of CAS.Research limitations/implicationsQuantitative analysis of the software industry innovation system should be emphasized in the next stage of research.Practical implicationsThe paper provides a new perspective and useful advice for technology policymakers.Originality/valueThe paper applies CAS theory to the area of social management and provides a new approach to study industrial innovation systems.

ABSTRACTSupply networks are composed of large numbers of firms from multiple interrelated industries. Such networks are subject to shifting strategies and objectives within a dynamic environment. In recent years, when faced with a dynamic environment, several disciplines have adopted the Complex Adaptive System (CAS) perspective to gain insights into important issues within their domains of study. Research investigations in the field of supply networks have also begun examining the merits of complexity theory and the CAS perspective. In this article, we bring the applicability of complexity theory and CAS into sharper focus, highlighting its potential for integrating existing supply chain management (SCM) research into a structured body of knowledge while also providing a framework for generating, validating, and refining new theories relevant to real‐world supply networks. We suggest several potential research questions to emphasize how a CAS perspective can help in enriching the SCM discipline. We propose that the SCM research community adopt such a dynamic and systems‐level orientation that brings to the fore the adaptivity of firms and the complexity of their interrelations that are often inherent in supply networks.

Introduction: Attempts to understand the emergence of integrated care using traditional approaches provide limited insights. Increasingly, scholars are applying complex adaptive systems (CAS) theory to explain the implementation of integrated care policies and interventions. A CAS perspective suggests that integrated care efforts designed to support sensemaking, which allows staff to give meaning to their experience and efforts, self-organizing, and adaptive approaches are more likely to be successful than efforts which are more ‘mechanistic’ and ‘linear’. We examined the implementation of the ‘Health Links’ (HLs), a provincial integrated care initiative in Ontario, Canada. Launched in 2012, there are currently 82 operational HLs, consisting of voluntary partnerships among organizations aimed at improving care for the top 5% of health system users in terms of costs. The HLs were introduced in a ‘low rules’ policy framework to stimulate grass-roots networks and approaches. In this study, we explored the extent to which this approach has generated interconnections, sensemaking, self-organization, emergence and coevolution, key aspects of CAS. Theory/Methods: We used key terms from CAS theory to deductively code transcripts from 37 interviews conducted in 2014/2015 with managers and clinicians from 24 HLs in all 14 regional health authorities in Ontario. Two reviewers coded a subset of interview data, in duplicate, that had been coded as addressing CAS themes in an earlier study. Results: Health Links generated novel interconnections between organizations and professionals across health and social services. These interconnections stimulated sensemaking, as individuals came together to understand, interpret, and adapt the initiative within their own contexts. Several self-organizing processes were identified as staff designed, tested and refined their structures and processes, and at the regional level where some regions standardized HLs within their borders. Despite enthusiasm for the ‘low-rules’ environment, some participants struggled with the lack of guidance or consistency from the province, and all agreed that some standardization was necessary. Early signs of emergence and co-evolution were identified, however, many HLs were still in early stages of implementation. Discussions: Our results show that a flexible policy environment encouraged interconnections, sensemaking, and self-organization among actors in the system. However, there were different capacities and preferences for self-organizing, and limits to what could be achieved through self-organization. Successful implementation required leadership and some operational consistency across HLs. Barriers to self-organization persisted in the form of pre-existing organizational and regional regulations. Conclusions: A ‘low-rules’ integrated care policy can generate novel interconnections, adaptive sensemaking, and productive self-organization among actors. Lessons learned: Operationalizing CAS theory domains is challenging and requires clarification of definitions and the level of analysis. Limitations: As a qualitative study, the results are limited in their generalizability. Interviews were conducted within three years of HLs launch and are limited to the initial implementation. Suggestions for future research: Future research should develop clear and applied definitions of CAS domains to support empirical studies of complexity dynamics in integrated care.

Integrated care in the emergency department: A complex adaptive systems perspective

Data about health care organizations (HCOs) are not useful until they are interpreted. Such interpretations are influenced by the theoretical lenses used by the researcher. Our purpose was to suggest the usefulness of theories of complex adaptive systems (CASs) in guiding research interpretation. Specifically, we addressed two questions: (1) What are the implications for interpreting research observations in HCOs of the fact that we are observing relationships among diverse agents? (2) What are the implications for interpreting research observations in HCOs of the fact that we are observing relationships among agents that learn? We defined diversity and learning and the implications of the non-linear relationships among agents from a CAS perspective. We then identified some common analytical practices that were problematic and may lead to conceptual and methodological errors. Then we described strategies for interpreting the results of research observations. We suggest that the task of interpreting research observations of HCOs could be improved if researchers take into account that the systems they study are CASs with non-linear relationships among diverse, learning agents. Our analysis points out how interpretation of research results might be shaped by the fact that HCOs are CASs. We described how learning is, in fact, the result of interactions among diverse agents and that learning can, by itself, reduce or increase agent diversity. We encouraged researchers to be persistent in their attempts to reason about complex systems and learn to attend not only to structures, but also to processes and functions of complex systems.

This research paper mainly concentrates on introducing DSL(Domain Specific language) approach in developing gaming applications. DSL approach hides the lower level implementation in C, C Sharp, C++, and JAVA and provides abstraction of higher level. The higher level of abstraction provided by the Domain Specific Language approach is error-free and easy to develop. The aim of this paper is to propose an approach to use GaML (Gamification Modelling Language, a form of DSL for gaming) for Unity based complex games efficiently in this paper. The paper doesn’t focus on the How and Whys of the Gaming Modelling Language usage, but rather focuses on the run-time enforcement. At the end of the paper, survey has been made on total lines of code and time invested for coding using a case study. The case study proves that DSL approach of automated code generation is better than manual.

There have been increasing calls for a paradigm shift in urban water management to a water sensitive cities (WSC) approach. Although it is well recognised that development of water sensitive communities is key to sustainable urban water transitions, there is no established definition for the “water sensitive community.” This study conducts a systematic review to understand how water sensitive communities are characterised in the literature and applies a complex adaptive systems perspective to the findings. The review identifies 16 attributes that define water sensitive communities, involving elements of participation, collaboration, liveability, shared ownership and responsibility in transition processes, and resilience. We add to this by linking WSC research with complex adaptive systems theory and propose a new definition of the water sensitive community as a complex adaptive system. This presents a realistic framework in which to study the complex interactions and dynamic aspects of a water sensitive community.