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MATHEMATICS (647 journals)                  1 2 3 4 | Last

Showing 1 - 200 of 538 Journals sorted alphabetically
Abakós     Open Access   (Followers: 3)
Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg     Hybrid Journal   (Followers: 2)
Academic Voices : A Multidisciplinary Journal     Open Access   (Followers: 2)
Accounting Perspectives     Full-text available via subscription   (Followers: 7)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 16)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 4)
ACM Transactions on Mathematical Software (TOMS)     Hybrid Journal   (Followers: 6)
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 21)
Acta Applicandae Mathematicae     Hybrid Journal   (Followers: 1)
Acta Mathematica     Hybrid Journal   (Followers: 11)
Acta Mathematica Hungarica     Hybrid Journal   (Followers: 2)
Acta Mathematica Scientia     Full-text available via subscription   (Followers: 5)
Acta Mathematica Sinica, English Series     Hybrid Journal   (Followers: 5)
Acta Mathematica Vietnamica     Hybrid Journal  
Acta Mathematicae Applicatae Sinica, English Series     Hybrid Journal  
Advanced Science Letters     Full-text available via subscription   (Followers: 5)
Advances in Applied Clifford Algebras     Hybrid Journal   (Followers: 3)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Complex Systems     Hybrid Journal   (Followers: 7)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 15)
Advances in Decision Sciences     Open Access   (Followers: 4)
Advances in Difference Equations     Open Access   (Followers: 1)
Advances in Fixed Point Theory     Open Access   (Followers: 5)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 10)
Advances in Linear Algebra & Matrix Theory     Open Access   (Followers: 1)
Advances in Materials Sciences     Open Access   (Followers: 16)
Advances in Mathematical Physics     Open Access   (Followers: 6)
Advances in Mathematics     Full-text available via subscription   (Followers: 10)
Advances in Numerical Analysis     Open Access   (Followers: 4)
Advances in Operations Research     Open Access   (Followers: 11)
Advances in Porous Media     Full-text available via subscription   (Followers: 4)
Advances in Pure and Applied Mathematics     Hybrid Journal   (Followers: 5)
Advances in Pure Mathematics     Open Access   (Followers: 4)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Aequationes Mathematicae     Hybrid Journal   (Followers: 2)
African Journal of Educational Studies in Mathematics and Sciences     Full-text available via subscription   (Followers: 5)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
Afrika Matematika     Hybrid Journal   (Followers: 1)
Air, Soil & Water Research     Open Access   (Followers: 7)
AKSIOMA Journal of Mathematics Education     Open Access   (Followers: 1)
Algebra and Logic     Hybrid Journal   (Followers: 3)
Algebra Colloquium     Hybrid Journal   (Followers: 4)
Algebra Universalis     Hybrid Journal   (Followers: 2)
Algorithmic Operations Research     Full-text available via subscription   (Followers: 5)
Algorithms     Open Access   (Followers: 9)
Algorithms Research     Open Access   (Followers: 1)
American Journal of Biostatistics     Open Access   (Followers: 9)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 3)
American Journal of Mathematical Analysis     Open Access  
American Journal of Mathematics     Full-text available via subscription   (Followers: 7)
American Journal of Operations Research     Open Access   (Followers: 5)
American Mathematical Monthly     Full-text available via subscription   (Followers: 6)
An International Journal of Optimization and Control: Theories & Applications     Open Access   (Followers: 7)
Analele Universitatii Ovidius Constanta - Seria Matematica     Open Access   (Followers: 1)
Analysis     Hybrid Journal   (Followers: 2)
Analysis and Applications     Hybrid Journal   (Followers: 1)
Analysis and Mathematical Physics     Hybrid Journal   (Followers: 4)
Analysis Mathematica     Full-text available via subscription  
Annales Mathematicae Silesianae     Open Access  
Annales mathématiques du Québec     Hybrid Journal   (Followers: 4)
Annales UMCS, Mathematica     Open Access   (Followers: 1)
Annales Universitatis Paedagogicae Cracoviensis. Studia Mathematica     Open Access  
Annali di Matematica Pura ed Applicata     Hybrid Journal   (Followers: 1)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 8)
Annals of Discrete Mathematics     Full-text available via subscription   (Followers: 6)
Annals of Mathematics     Full-text available via subscription  
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 6)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of the Alexandru Ioan Cuza University - Mathematics     Open Access  
Annals of the Institute of Statistical Mathematics     Hybrid Journal   (Followers: 1)
Annals of West University of Timisoara - Mathematics     Open Access  
Annuaire du Collège de France     Open Access   (Followers: 5)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applications of Mathematics     Hybrid Journal   (Followers: 1)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 12)
Applied Mathematics     Open Access   (Followers: 3)
Applied Mathematics     Open Access   (Followers: 4)
Applied Mathematics & Optimization     Hybrid Journal   (Followers: 4)
Applied Mathematics - A Journal of Chinese Universities     Hybrid Journal  
Applied Mathematics Letters     Full-text available via subscription   (Followers: 1)
Applied Mathematics Research eXpress     Hybrid Journal   (Followers: 1)
Applied Network Science     Open Access  
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4)
Arab Journal of Mathematical Sciences     Open Access   (Followers: 2)
Arabian Journal of Mathematics     Open Access   (Followers: 2)
Archive for Mathematical Logic     Hybrid Journal   (Followers: 1)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 4)
Archive of Numerical Software     Open Access  
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Arkiv för Matematik     Hybrid Journal   (Followers: 1)
Arnold Mathematical Journal     Hybrid Journal   (Followers: 1)
Artificial Satellites : The Journal of Space Research Centre of Polish Academy of Sciences     Open Access   (Followers: 18)
Asia-Pacific Journal of Operational Research     Hybrid Journal   (Followers: 3)
Asian Journal of Algebra     Open Access   (Followers: 1)
Asian Journal of Current Engineering & Maths     Open Access  
Asian-European Journal of Mathematics     Hybrid Journal   (Followers: 2)
Australian Mathematics Teacher, The     Full-text available via subscription   (Followers: 7)
Australian Primary Mathematics Classroom     Full-text available via subscription   (Followers: 2)
Australian Senior Mathematics Journal     Full-text available via subscription   (Followers: 1)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Axioms     Open Access  
Baltic International Yearbook of Cognition, Logic and Communication     Open Access  
Basin Research     Hybrid Journal   (Followers: 3)
BIBECHANA     Open Access  
BIT Numerical Mathematics     Hybrid Journal  
BoEM - Boletim online de Educação Matemática     Open Access  
Boletim Cearense de Educação e História da Matemática     Open Access  
Boletim de Educação Matemática     Open Access  
Boletín de la Sociedad Matemática Mexicana     Hybrid Journal  
Bollettino dell'Unione Matematica Italiana     Full-text available via subscription   (Followers: 1)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 21)
Bruno Pini Mathematical Analysis Seminar     Open Access  
Buletinul Academiei de Stiinte a Republicii Moldova. Matematica     Open Access   (Followers: 7)
Bulletin des Sciences Mathamatiques     Full-text available via subscription   (Followers: 4)
Bulletin of Dnipropetrovsk University. Series : Communications in Mathematical Modeling and Differential Equations Theory     Open Access   (Followers: 1)
Bulletin of Mathematical Sciences     Open Access   (Followers: 1)
Bulletin of the Brazilian Mathematical Society, New Series     Hybrid Journal  
Bulletin of the London Mathematical Society     Hybrid Journal   (Followers: 3)
Bulletin of the Malaysian Mathematical Sciences Society     Hybrid Journal  
Calculus of Variations and Partial Differential Equations     Hybrid Journal  
Canadian Journal of Science, Mathematics and Technology Education     Hybrid Journal   (Followers: 17)
Carpathian Mathematical Publications     Open Access   (Followers: 1)
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal  
CHANCE     Hybrid Journal   (Followers: 5)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
ChemSusChem     Hybrid Journal   (Followers: 7)
Chinese Annals of Mathematics, Series B     Hybrid Journal  
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
Chinese Journal of Mathematics     Open Access  
Clean Air Journal     Full-text available via subscription   (Followers: 2)
Cogent Mathematics     Open Access   (Followers: 2)
Cognitive Computation     Hybrid Journal   (Followers: 4)
Collectanea Mathematica     Hybrid Journal  
College Mathematics Journal     Full-text available via subscription   (Followers: 2)
COMBINATORICA     Hybrid Journal  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 13)
Commentarii Mathematici Helvetici     Hybrid Journal   (Followers: 1)
Communications in Contemporary Mathematics     Hybrid Journal  
Communications in Mathematical Physics     Hybrid Journal   (Followers: 1)
Communications On Pure & Applied Mathematics     Hybrid Journal   (Followers: 3)
Complex Analysis and its Synergies     Open Access   (Followers: 2)
Complex Variables and Elliptic Equations: An International Journal     Hybrid Journal  
Complexus     Full-text available via subscription  
Composite Materials Series     Full-text available via subscription   (Followers: 9)
Comptes Rendus Mathematique     Full-text available via subscription   (Followers: 1)
Computational and Applied Mathematics     Hybrid Journal   (Followers: 2)
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 2)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 4)
Computational Methods and Function Theory     Hybrid Journal  
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
Computers & Mathematics with Applications     Full-text available via subscription   (Followers: 5)
Concrete Operators     Open Access   (Followers: 4)
Confluentes Mathematici     Hybrid Journal  
COSMOS     Hybrid Journal  
Cryptography and Communications     Hybrid Journal   (Followers: 14)
Cuadernos de Investigación y Formación en Educación Matemática     Open Access  
Cubo. A Mathematical Journal     Open Access  
Czechoslovak Mathematical Journal     Hybrid Journal   (Followers: 1)
Demographic Research     Open Access   (Followers: 12)
Demonstratio Mathematica     Open Access  
Dependence Modeling     Open Access  
Design Journal : An International Journal for All Aspects of Design     Hybrid Journal   (Followers: 29)
Developments in Clay Science     Full-text available via subscription   (Followers: 1)
Developments in Mineral Processing     Full-text available via subscription   (Followers: 3)
Dhaka University Journal of Science     Open Access  
Differential Equations and Dynamical Systems     Hybrid Journal   (Followers: 2)
Discrete Mathematics     Hybrid Journal   (Followers: 7)
Discrete Mathematics & Theoretical Computer Science     Open Access  
Discrete Mathematics, Algorithms and Applications     Hybrid Journal   (Followers: 2)
Discussiones Mathematicae Graph Theory     Open Access   (Followers: 1)
Doklady Mathematics     Hybrid Journal  
Duke Mathematical Journal     Full-text available via subscription   (Followers: 1)
Edited Series on Advances in Nonlinear Science and Complexity     Full-text available via subscription  
Electronic Journal of Graph Theory and Applications     Open Access   (Followers: 2)
Electronic Notes in Discrete Mathematics     Full-text available via subscription   (Followers: 2)
Elemente der Mathematik     Full-text available via subscription   (Followers: 3)
Energy for Sustainable Development     Hybrid Journal   (Followers: 9)
Enseñanza de las Ciencias : Revista de Investigación y Experiencias Didácticas     Open Access  
Ensino da Matemática em Debate     Open Access  
Entropy     Open Access   (Followers: 5)
ESAIM: Control Optimisation and Calculus of Variations     Full-text available via subscription   (Followers: 1)
European Journal of Combinatorics     Full-text available via subscription   (Followers: 4)
European Journal of Mathematics     Hybrid Journal   (Followers: 1)
European Scientific Journal     Open Access   (Followers: 2)
Experimental Mathematics     Hybrid Journal   (Followers: 3)
Expositiones Mathematicae     Hybrid Journal   (Followers: 2)
Facta Universitatis, Series : Mathematics and Informatics     Open Access  
Fasciculi Mathematici     Open Access  
Finite Fields and Their Applications     Full-text available via subscription   (Followers: 4)
Fixed Point Theory and Applications     Open Access   (Followers: 1)
Formalized Mathematics     Open Access   (Followers: 2)
Foundations and Trends® in Econometrics     Full-text available via subscription   (Followers: 4)

        1 2 3 4 | Last

Journal Cover Computational and Mathematical Organization Theory
  [SJR: 0.278]   [H-I: 19]   [2 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1381-298X - ISSN (Online) 1572-9346
   Published by Springer-Verlag Homepage  [2345 journals]
  • How resource information backgrounds trigger post-merger integration and
           technology innovation? A dynamic analysis of resource similarity and
    • Authors: Feiqiong Chen; Qiaoshuang Meng; Fei Li
      Pages: 167 - 198
      Abstract: Overseas mergers and acquisitions (M&A) proposed by companies from emerging economies have been aiming to secure outward technology sourcing from developed countries in order to improve their technology innovation abilities in recent years. This paper proposes a comprehensive analytical framework of post-merger integration’s influence on technology innovation by global game modeling. We show how different resource similarity and resource complementarity backgrounds of the acquirer and target companies can affect post-merger strategies and technology innovation output through multi-stage analysis with an asymmetrical payoff structure. We focus on two main dimensions of post-merger integration, which are integration degree and target autonomy. Equilibrium analysis that is based on potential innovation output signals show that resource similarity has a positive relation with integration and a negative relation with target autonomy in overseas M&A; however, resource complementarity has the opposite effects compared with resource similarity. The positive interaction between resource similarity and complementarity will trigger more M&A and increase the degrees of integration and autonomy; M&A integration has a positive impact on technology innovation output. The innovation growth of the acquiring company is affected by the effectiveness of the post-merger process and the interaction of substitution elasticity with resource potential difference. Our study provides insight into the factors driving post-merger decisions and contributes to a multi-stage resource-based understanding of technology innovation induced by overseas post-merger integration.
      PubDate: 2017-06-01
      DOI: 10.1007/s10588-016-9222-4
      Issue No: Vol. 23, No. 2 (2017)
  • Generic substitution policy, an incentive approach
    • Authors: Aida Isabel Tavares
      Pages: 199 - 220
      Abstract: Generic substitution policy has been adopted in several countries in order to control health expenditures. Using a model based on incentives, this work aims to analyze the response of doctors and pharmaceutical companies to the implementation of this policy. It is shown that after the implementation of GSP, the effort of doctor’s convincing the patient to take generics increase or decrease depending on his level of concern for patient well-being; pharmaceutical companies decrease the amount of detailing and the market share of generics tends to increase.
      PubDate: 2017-06-01
      DOI: 10.1007/s10588-016-9223-3
      Issue No: Vol. 23, No. 2 (2017)
  • Self-organization and social science
    • Authors: David Anzola; Peter Barbrook-Johnson; Juan I. Cano
      Pages: 221 - 257
      Abstract: Complexity science and its methodological applications have increased in popularity in social science during the last two decades. One key concept within complexity science is that of self-organization. Self-organization is used to refer to the emergence of stable patterns through autonomous and self-reinforcing dynamics at the micro-level. In spite of its potential relevance for the study of social dynamics, the articulation and use of the concept of self-organization has been kept within the boundaries of complexity science and links to and from mainstream social science are scarce. These links can be difficult to establish, even for researchers working in social complexity with a background in social science, because of the theoretical and conceptual diversity and fragmentation in traditional social science. This article is meant to serve as a first step in the process of overcoming this lack of cross-fertilization between complexity and mainstream social science. A systematic review of the concept of self-organization and a critical discussion of similar notions in mainstream social science is presented, in an effort to help practitioners within subareas of complexity science to identify literature from traditional social science that could potentially inform their research.
      PubDate: 2017-06-01
      DOI: 10.1007/s10588-016-9224-2
      Issue No: Vol. 23, No. 2 (2017)
  • Integrating accounting and multiplicative calculus: an effective
           estimation of learning curve
    • Authors: Hasan Özyapıcı; İlhan Dalcı; Ali Özyapıcı
      Pages: 258 - 270
      Abstract: Numerical interpolation methods are essential for the estimation of nonlinear functions and they have a wide range of applications in economics and accounting. In this regard, the idea of using interpolation methods based on multiplicative calculus for suitable accounting problems is self-evident. The purpose of this study, therefore, is to develop a way to better estimate the learning curve, which is an exponentially decreasing function, based on multiplicative Lagrange interpolation. The results of this study show that the proposed multiplicative method of learning curve provides more accurate estimates of labour costs when compared to the conventional methods. This is because the exponential functions are linear in multiplicative calculus. Furthermore, the results reveal that using the proposed method enables cost and managerial accountants to better calculate both cost of unused capacity and product cost in a cumulative production represented by a nonlinear function. The results of this study are also expected to help researchers, practitioners, economists, business managers, and cost and managerial accountants to understand how to construct a multiplicative based learning curve to improve such decisions as pricing, profit planning, capacity management, and budgeting.
      PubDate: 2017-06-01
      DOI: 10.1007/s10588-016-9225-1
      Issue No: Vol. 23, No. 2 (2017)
  • The interpersonal diffusion mechanism of unethical behavior in groups: a
           social network perspective
    • Authors: Duanxu Wang; Xin Pi; Yuhao Pan
      Pages: 271 - 292
      Abstract: Previous studies examining the impact of the unethical behavior of a group of colleagues on an individuals unethical behavior have typically employed social learning theory as a theoretical foundation. In this research, we extend these rich yet defective examinations by addressing the largely ignored relationship perspective. Drawing on the social network perspective, we posit that the structure of relationships significantly influences the process of unethical behavior diffusion. Consistent with the theoretically derived hypotheses, our agent-based model simulation results provide general support for our theoretical model: colleagues unethical behaviors positively affect an individuals unethical behaviors, and this influence is positively moderated by group network density, group network closeness centrality and group size. This paper also discusses theoretical contributions, practical values, limitations and directions for future research.
      PubDate: 2017-06-01
      DOI: 10.1007/s10588-016-9226-0
      Issue No: Vol. 23, No. 2 (2017)
  • Corruption and its detection: a graph-theoretic approach
    • Authors: Thebeth Rufaro Mukwembi; Simon Mukwembi
      Pages: 293 - 300
      Abstract: We consider a corruption network where agents, both internal or external to the network, use connections and bribes to obtain goods or services outside the formal procedures. We develop a graph-theoretic model for the system and present sufficient conditions for detectability of the corruption status of at least one agent. Where detectability is not possible, we determine the topology of the network and all the possible corruption statuses of the agents. Further we provide, if we have information on the corruption status of a single agent, an algorithm that identifies the corruption status of every other agent in the network. Our results provide tools for detecting corrupt agents in organizations such as revenue authorities, municipalities, police, vehicle inspection departments, financial institutions and firms, while allowing the system to operate in normal mode.
      PubDate: 2017-06-01
      DOI: 10.1007/s10588-016-9227-z
      Issue No: Vol. 23, No. 2 (2017)
  • Reporting a network’s most-central actor with a confidence level
    • Authors: Terrill L. Frantz; Kathleen M. Carley
      Pages: 301 - 312
      Abstract: This article introduces a confidence level (CL) statistic to accompany the identification of the most central actor in relational, social network data. CL is the likelihood that the most-central actor assertion is correct in light of imperfect network data. The CL value is derived from a frequency-based probability according to perturbed samples of feature-equivalent network data. Analysts often focus attention towards the most central, highest valued, top actor [or node] according to one of four traditional measures: degree, betweenness, closeness or eigenvector centrality. However, given that collected social network data often has missing relational links, the correctness of the top-actor claim becomes uncertain. This paper describes and illustrates a practical approach for estimating and applying a CL to the top-actor identification task. We provide a simple example of the technique used to derive a posterior probability, then apply the same approach to larger, more pragmatic random network by using the results of an extensive virtual experiment involving uniform random and scale-free topologies. This article has implications in organizational practice and theory; it is simple and lays groundwork for developing more intricate estimates of reliability for other network measures.
      PubDate: 2017-06-01
      DOI: 10.1007/s10588-016-9229-x
      Issue No: Vol. 23, No. 2 (2017)
  • Book review: The Journal of Organizational Design
    • Authors: Terrill L. Frantz
      Pages: 313 - 318
      PubDate: 2017-06-01
      DOI: 10.1007/s10588-016-9228-y
      Issue No: Vol. 23, No. 2 (2017)
  • The Tangled Nature Model for organizational ecology
    • Authors: Rudy Arthur; Arwen Nicholson; Paolo Sibani; Michael Christensen
      Pages: 1 - 31
      Abstract: The Tangled Nature Model—a biologically inspired model of evolutionary ecology—is described, simulated, and analyzed to show its applicability in organization science and organizational ecology. It serves as a conceptual framework for understanding the dynamics in populations of organizations. A salient dynamical feature of this model is the spontaneous generation of a symbiotic group of core organizations. This core, consisting of several dominating species, introduces a mesoscopic level between that of the individual and the whole system. Despite prolonged periods of stability, this core is disrupted at random by parasitic interactions causing sudden core rearrangements. The size distribution of the core organizations is log-normal as predicted by theory and supported by empirical findings. As a simple application of the model, we study the adaptation of organizations to changes in resource availability in terms of population size, population diversity, and ecological efficiency. We find evidence that a temporary reduction in resources forces a consolidation resulting in a sustained increase in overall efficiency, suggesting that such reductions can be applied strategically to drive incremental improvements.
      PubDate: 2017-03-01
      DOI: 10.1007/s10588-016-9214-4
      Issue No: Vol. 23, No. 1 (2017)
  • Effects of asymmetric knowledge spillovers on the stability of horizontal
           and vertical R&D cooperation
    • Authors: Deming Zeng; Luyun Xu; Xia-an Bi
      Pages: 32 - 60
      Abstract: In order to investigate the role of asymmetric spillovers in the stability of R&D cooperation, this paper distinguishes two different types of cooperative partners, and uses a game theory approach to reveal the relationship between asymmetric spillovers and R&D investment in the horizontally and vertically related R&D cooperation. In the horizontal R&D cooperation, higher incoming spillovers and lower outgoing spillovers induce firms to invest on R&D efforts as agreed. However, it is the contradiction between horizontal firms’ attitudes towards asymmetric spillovers that leads to the inherent instability of the cooperation. In the vertical R&D cooperation, our results question the usually held opinion about the effects of asymmetric spillovers on the decision of R&D investment. The incoming spillovers are less important in the innovation process for vertically related R&D cooperation. A firm tends to under-invest on the arranged level of R&D efforts when its incoming spillovers increase. Our results also show that efficient mechanisms to restrain firms’ non-cooperative behavior are essential to improve the stability of horizontal and vertical R&D cooperation.
      PubDate: 2017-03-01
      DOI: 10.1007/s10588-016-9216-2
      Issue No: Vol. 23, No. 1 (2017)
  • Controlling for false negatives in agent-based models: a review of power
           analysis in organizational research
    • Authors: Davide Secchi; Raffaello Seri
      Pages: 94 - 121
      Abstract: This article is concerned with the study of statistical power in agent-based modeling (ABM). After an overview of classic statistics theory on how to interpret Type-II error (whose occurrence is also referred to as a false negative) and power, the manuscript presents a study on ABM simulation articles published in management journals and other outlets likely to publish management and organizational research. Findings show that most studies are underpowered, with some being overpowered. After discussing the risks of under- and overpower, we present two formulas to approximate the number of simulation runs to reach an appropriate level of power. The study concludes with the importance for organizational behavior scholars to perform their models in an attempt to reach a power of 0.95 or higher at the 0.01 significance level.
      PubDate: 2017-03-01
      DOI: 10.1007/s10588-016-9218-0
      Issue No: Vol. 23, No. 1 (2017)
  • Mining online communities to inform strategic messaging: practical methods
           to identify community-level insights
    • Authors: Matthew Benigni; Kenneth Joseph; Kathleen M. Carley
      Abstract: The ability of OSNs to propagate civil unrest has been powerfully observed through the rise of the ISIS and the ongoing conflict in Crimea. As a result, the ability to understand and in some cases mitigate the effects of user communities promoting civil unrest online has become an important area of research. Although methods to detect large online extremist communities have emerged in literature, the ability to summarize community content in meaningful ways remains an open research question. We introduce novel applications of the following methods: ideological user clustering with bipartite spectral graph partitioning, narrative mining with hash tag co-occurrence graph clustering, and identifying radicalization with directed URL sharing networks. In each case we describe how the method can be applied to social media. We subsequently apply them to online Twitter communities interested in the Syrian revolution and ongoing Crimean conflict.
      PubDate: 2017-06-20
      DOI: 10.1007/s10588-017-9255-3
  • Exchange process-based social mechanisms and social functions: an
           operational approach to the macro functional aspects of agent societies
    • Authors: Antônio Carlos da Rocha Costa
      Abstract: This paper presents elements for an operational approach to the formal modeling of the macro functional aspects of agent societies. The concept of agent society used in the paper is summarized. The exchange process-based concept of elementary social function is reviewed and a corresponding concept of elementary social mechanism is introduced. Together, these concepts allow for the recursive definition of the concept of functional system, with which one can account for the general functions performed by the core organizational structure of agent societies. Two case studies are developed to illustrate the type of functional modeling of agent societies that is enabled by the concepts introduced in the paper. The first case study concerns the functional analysis of a simple motivating thought experiment. The second concerns the use of agent societies as formal models for natural societies: it sketches the formalization of Pierre Bourdieu’s functional analysis of the reproduction process of contemporary human societies.
      PubDate: 2017-05-19
      DOI: 10.1007/s10588-017-9254-4
  • Explaining the emergence of online popularity through a model of
           information diffusion
    • Authors: António Fonseca; Jorge Louçã
      Abstract: This paper proposes a new formal modeling approach to popularity dynamics based on a generic notion of message propagation within society. The approach is demonstrated with two original models of information diffusion. These are a branching model of popularity and a epidemic model of popularity. The first is based on the principles of a branching process, while the second emulates an epidemic equation with a specific infection rate. This allows us to consider the replication phenomena on information diffusion. The approach is validated using a very large dataset collected online that involves keywords in blogs and hashtags on Twitter. Our main results point to an overall good fit of both models, both when the process of popularity grows and when it decays. This is due to endogenous information transfer, as in an epidemic process, but also when the process is initially triggered by an external event. Overall, on balance, our models confirm that popularity builds through message diffusion, which is of the multiplicative kind.
      PubDate: 2017-04-12
      DOI: 10.1007/s10588-017-9253-5
  • Blockmap: an interactive visualization tool for big-data networks
    • Authors: Terrill L. Frantz
      Abstract: This article describes the Blockmap, which is a mechanism for displaying and exploring network datasets. The data are presented in a squarified-mosaic form, which is well-suited for visual display on a computer or phone screen. The relational data are dimension-reduced and structured for interactive, hierarchical exploration. The Blockmap applies a combination of treemap and heatmap display schemes specifically to the analysis of large network datasets. The Blockmap offers the analyst a way to explore underlying node-level data, at the full-network level, according to shared characteristics of the constituent nodes. It offers a technique for exploring nodesets—collections of network nodes—which have been classified according to a user-defined set of rules or discriminative algorithms. Typically, nodes can be classified according to their common attributes or a stratification of their ego-level network measures, but means can be extended. Using a Blockmap, an analyst can profile a network according to the meaningful characteristics exhibited by the mosaic; this technique also offers theorists a platform for developing a methodological and analytic framework for characterizing and analyzing network data. Production versions of Blockmap technology are presently hosted in client- and web-based software and is available freely in *ORA-LITE.
      PubDate: 2017-04-05
      DOI: 10.1007/s10588-017-9252-6
  • An agent based model of the evolution of supplier networks
    • Authors: David C. Earnest; Ian F. Wilkinson
      Abstract: We view supply chains as a type of complex adaptive system and develop an agent based computer simulation model of the evolution and performance of supply chains based on Stuart Kauffman’s NK models of fitness landscapes. Firms operate in networks in which they supply products to some firms and source inputs from others. They seek to maximize their own performance but they cooperate with other firms to gain access to inputs. We model firm performance in terms of the fit of its product with market demand and the contribution from first tier suppliers. The model uses genetic algorithms to mimic the way firms learn and adapt their products and supplier networks for more and less complex products and different switching conditions. We find that (a) as the complexity of the product increases, firms perform less well; and (b) firms build supplier networks with higher average in-degree, greater density, and significantly greater clustering to cope with product complexity. Our findings suggest that firms using highly specific assets or that face high switching costs are likely to pursue a supplier strategy that relies more on multiple suppliers and more clustered supply networks. Also, in industries characterized by highly specialized training, plants and machinery dedicated to specific products and other high product-specific transaction costs, we should observe more specialization at low levels of product complexity but less at high levels. The model contributes to our understanding of the evolution of supply networks, which is an under-researched topic, provides the basis for further extensions of the model and the development of more realistic models of actual supply chains. The model also provides a conceptual and methodological tool to assist firms and policymakers to better understanding the nature of supply chains and to identify and test strategies and policies.
      PubDate: 2017-03-25
      DOI: 10.1007/s10588-017-9249-1
  • A comprehensive approach in designing a sustainable closed-loop supply
           chain network using cross-docking operations
    • Authors: Saeid Rezaei; Amirsaman Kheirkhah
      Abstract: In today’s competitive world, it is unavoidable to provide a new efficient approach in the cycle of production and supplying. The problem of designing a supply chain network is included in strategic decisions in this area, and short-term changing the structure and configuration of logistics networks is almost impossible due to assigned much time and cost. This paper develops a comprehensive model for designing a sustainable closed-loop supply chain network based on economic, environmental and social requirements, both with applying cross-docking operations in the mentioned network. Utilizing the cross-docking system—as a new strategy of supply chain—along with simultaneous considering the above triple dimensions—economic, environmental and social requirements—in a comprehensive and sustainable approach offers a novel research scope in the wide range of problems related to supply chain network design, and in this regards, helps organizations improve their competitive advantage in different industries. For these reasons, in this study, a multi-objective mixed-integer linear programming model is developed, and in order to solve this NP-hard problem, a cuckoo optimization algorithm is utilized—as the first attempt in this area. Finally, to test the efficiency of the proposed metaheuristics, it is compared with other strong algorithms illustrating a quite well performance.
      PubDate: 2017-03-25
      DOI: 10.1007/s10588-017-9247-3
  • Theories of communication networks by Peter R. Monge and Noshir S.
    • Authors: Terrill L. Frantz
      PubDate: 2017-03-24
      DOI: 10.1007/s10588-017-9250-8
  • Neural networks: an introductory guide for social scientists by G. David
    • Authors: Terrill L. Frantz
      PubDate: 2017-03-24
      DOI: 10.1007/s10588-017-9251-7
  • The meso-unit theory of post-merger integration
    • Authors: Terrill L. Frantz
      Abstract: This article introduces the meso-unit theory of post-merger integration. The theory offers that the number of constituent work-units involved in an organizational merger has a greater detrimental effect on the time-to-integration than does the total number of constituent personnel involved. Its establishment is based on the results of controlled experiments conducted in a virtual laboratory. The simulation utilizes agent-based modeling software that encapsulates organizational behavior models such as the knowledge-based view of the firm, social and communication network theory, and CONSTRUCT theory. The software is configured for a two-organization merger and implements classic behavior dynamics to simulate communicative behavior of information-seeking actors. As a result, detailed micro- and macro-level data on the integration progress is available for examination, analysis and interpretation. The results give rise to the development of the meso-unit theory, which directs integration managers’ attention toward a key aspect of the integration that is often overlooked.
      PubDate: 2017-03-13
      DOI: 10.1007/s10588-017-9248-2
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