{"title":"Cluster Network Model for Inter-SME Diffusion of Innovation","authors":"Stefan Kambiz Behfar, Tina Afshar, Parmiss Afshar","doi":"10.5220/0005924301770186","DOIUrl":"https://doi.org/10.5220/0005924301770186","url":null,"abstract":"Since Rogers (1995) first gave a typology of innovation diffusion, there have been many studies on the role of networks in the topic of innovation diffusion and adoption. Bradley (1995) defined technology diffusion as the spread of a new technology from one SME to another; whereas DiMaggio and Powell (1991) emphasized that under conditions of uncertainty, inter-organizational diffusion of innovation occurs through imitation (adaptation). Other authors have investigated rate of innovation where importance was given to the number of firm linkages and geographical proximity (Florida 1995, Van Oort 2004). Although the role of ties has been studied with regard to innovation diffusion and knowledge sharing, to the best of our knowledge, there has been no published research concerning efficient innovation diffusion and adoption within SME cluster networks, where efficient innovation diffusion with cluster is defined when most SMEs within each cluster could adopt innovation. Here, we present a cluster network model for inter-SME diffusion of innovation where SMEs represent nodes, and innovation adoption and adaptation between any two SMEs represent ties. In such a model, we differentiate between SMEs as either sources or beneficiaries of innovation, and discuss creation of ties among those SMEs and among cluster of SMEs. This study presents a conceptual piece, where we provide three propositions a) The network model contains both source and beneficiary of innovation, where the beneficiary adopts an innovation from source, or adapts to the innovation of another beneficiary, b) The more efficient diffusion of innovation from one SME cluster to another is when two clusters interconnect strongly rather than loosely, c) The rate of innovation adoption among SMEs depends on their network dependency.","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121024400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Matrix Multinomial Systems with Finite Syntax","authors":"R. Hanel","doi":"10.5220/0005877100260031","DOIUrl":"https://doi.org/10.5220/0005877100260031","url":null,"abstract":"Typically, describing complex processes and the sequences of events they generate requires both statistical and structural information. Statistical information alone does not suffice when intrinsic constraints allow a process to produce well-formed sequences of events but not others. Typically, processes become history dependent; the multiplicity of well-formed sequences with identical histogram and derived concepts, entropy for instance, start to depend on the structure, the grammar, of the underlying process. We demonstrate that for a sufficiently well behaved class of complex processes, it is possible to derive an exact criterion for deciding whether a sequence of arbitrary length is well formed or not. The approach is based on representing events by matrices and sequences of events by products of respective matrices. Formally such processes have a multinomial structure only that the elements are not numbers, but matrices. We demonstrate the approach by applying it to enumerate the well known Oslo sand-pile model, resulting in an elegant formula for the number of stable attractor states for Oslo sand-piles of arbitrary size.","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131332355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Does Culture Matters in Intersection of Individual s Personality and Social Media Engagement?","authors":"Imran Khan, Han Dongping","doi":"10.5220/0005874201670176","DOIUrl":"https://doi.org/10.5220/0005874201670176","url":null,"abstract":"Personality traits of consumers may be important elements in the increasingly user-generated web for the engagement in this participatory media. Previous studies suggest three personality traitsextraversion, neuroticism and openness to experienceare related to uses of social applications like Facebook. The aim of current research is to evaluate the factors affecting consumer’s social media engagement in terms of liking, commenting and sharing behavior on Facebook brand fan pages, and to evaluate the mediating role of interaction modes and to analyze the moderating role of culture, on relationship between personality traits and engagement behavior of consumers. Data was collected from 748 fans of 15 Facebook brand fan pages of five fast food brands operating in three different countries. Structural equation modelling was used to test the hypothesis. Results revealed that modes of interaction significantly mediate the relationship between personality traits and social media engagement behaviors. While culture moderates this relationship. Results showed the highest impact of personality traits on social media engagement in UK than Australia, while their impact in lowest in USA. It is suggested that consumers of different countries having same personality traits respond differently to Facebook brand page post, specifically when considering the Facebook functions of","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"5 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129307073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael J. Richardson, Rachel W. Kallen, Patrick Nalepka, Steven J. Harrison, M. Lamb, A. Chemero, E. Saltzman, R. Schmidt
{"title":"Modeling Embedded Interpersonal and Multiagent Coordination","authors":"Michael J. Richardson, Rachel W. Kallen, Patrick Nalepka, Steven J. Harrison, M. Lamb, A. Chemero, E. Saltzman, R. Schmidt","doi":"10.5220/0005878101550164","DOIUrl":"https://doi.org/10.5220/0005878101550164","url":null,"abstract":"Interpersonal or multiagent coordination is a common part of everyday human activity. Identifying the dynamic processes that shape and constrain the complex, time-evolving patterns of multiagent be ...","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"631 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115111771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Growth of Oligarchy in a Yard-Sale Model of Asset Exchange - A Logistic Equation for Wealth Condensation","authors":"B. Boghosian, Adrian Devitt-Lee, Hongyan Wang","doi":"10.5220/0005956501870193","DOIUrl":"https://doi.org/10.5220/0005956501870193","url":null,"abstract":"The addition of wealth-attained advantage (WAA) to the Yard-Sale Model (YSM) of asset exchange has been demonstrated to induce wealth condensation. In a model of WAA for which the bias is a continuous function of the wealth difference of the transacting agents, the condensation was shown to arise from a second-order phase transition to a coexistence regime. In this paper, we present the first analytic time-dependent results for this model, by showing that the condensed wealth obeys a logistic equation in time.","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127463390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Mønster, Riccardo Fusaroli, K. Tylén, A. Roepstorff, J. Sherson
{"title":"Inferring Causality from Noisy Time Series Data - A Test of Convergent Cross-Mapping","authors":"D. Mønster, Riccardo Fusaroli, K. Tylén, A. Roepstorff, J. Sherson","doi":"10.5220/0005932600480056","DOIUrl":"https://doi.org/10.5220/0005932600480056","url":null,"abstract":"Convergent Cross-Mapping (CCM) has shown high potential to perform causal inference in the absence of models. We assess the strengths and weaknesses of the method by varying coupling strength and noise levels in coupled logistic maps. We find that CCM fails to infer accurate coupling strength and even causality direction in synchronized time-series and in the presence of intermediate coupling. We find that the presence of noise deterministically reduces the level of cross-mapping fidelity, while the convergence rate exhibits higher levels of robustness. Finally, we propose that controlled noise injections in intermediate-to-strongly coupled systems could enable more accurate causal inferences. Given the inherent noisy nature of real-world systems, our findings enable a more accurate evaluation of CCM applicability and advance suggestions on how to overcome its weaknesses.","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121807596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enterprise Information System, Agility and Complexity - What is the Relationship?","authors":"H. Mellah, H. Drias","doi":"10.5220/0005877400740080","DOIUrl":"https://doi.org/10.5220/0005877400740080","url":null,"abstract":"The term complexity is present everywhere. Complexity surrounds information, information system, organization as well as computing systems. In this work we present some challenges that deal with complexity. Why can enterprise organization be seen as complex? From what, complexity can arise within enterprise information system? What is relationship between complexity and agility? What are factors that may evolve complexity within enterprise information system? How computing system led information system towards complexity? To response to all this challenges, several dimensions dealing with complexity are displayed such as dynamics in enterprise information system components, while interacting, that can be tolerated by components autonomy; intelligibility that causes knowledge evolving; and inter-connectivity that is necessary with distribution. All these factors influence each others, within a three dimensional system. UML modeling of enterprise information system that includes complexity parameters is given.","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131915265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Alfinito, L. Reggiani, R. Cataldo, G. D. Nunzio, M. Guascito, L. Giotta
{"title":"Proteotronics: Application to Human 17-40 and Bacteriorhodopsin Receptors","authors":"E. Alfinito, L. Reggiani, R. Cataldo, G. D. Nunzio, M. Guascito, L. Giotta","doi":"10.5220/0005905800320038","DOIUrl":"https://doi.org/10.5220/0005905800320038","url":null,"abstract":"Human olfactory 17-40 and Bacteriorhodopsin are two protein receptors that received particular attention in electronics, due to the possibility of implementing nano-biodevices able to detect odours and light and thus useful for medical and green energy harvesting applications. Some recent experiments concerning the electrical responses of these receptors are reviewed. Data are interpreted in the framework of a new science exploiting the complexity in biology and biomedical engineering called proteotronics. In particular, the single protein is modelled as an impedance network whose topological properties affect the electrical response as measured by experiments.","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115588048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring Potential Causal Models for Climate-Society-Conflict Interaction","authors":"Wei Guo, S. Sun, Alan Wilson","doi":"10.5220/0011968400003485","DOIUrl":"https://doi.org/10.5220/0011968400003485","url":null,"abstract":"","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127164368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Complex Network Analysis Approach for Risk Increase Factor Prediction in Nuclear Power Plants","authors":"M. Rifi, M. Hibti, R. Kanawati","doi":"10.5220/0006700000230030","DOIUrl":"https://doi.org/10.5220/0006700000230030","url":null,"abstract":"We explore applying network based metrics to predict safety metrics of components in Nuclear Power Plants (NPP). We first show how to model accident sequences as complex networks, then we conduct a statistical study over the main network metrics to show that these are highly correlated with the RIF (Risk Increase Factor) which is a very popular metric in nuclear safety studies.","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123252206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}