Organization of Multi-Agent Systems: An Overview

In complex, open, and heterogeneous environments, agents must be able to reorganize towards the most appropriate organizations to adapt unpredictable environment changes within Multi-Agent Systems (MAS). Types of reorganization can be seen from two different levels. The individual agents level (micro-level) in which an agent changes its behaviors and interactions with other agents to adapt its local environment. And the organizational level (macro-level) in which the whole system changes it structure by adding or removing agents. This chapter is dedicated to overview different aspects of what is called MAS Organization including its motivations, paradigms, models, and techniques adopted for statically or dynamically organizing agents in MAS.Comment: 12 page

An agent-based fuzzy cognitive map approach to the strategic marketing planning for industrial firms

This is the post-print version of the final paper published in Industrial Marketing Management. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2013 Elsevier B.V.Industrial marketing planning is a typical example of an unstructured decision making problem due to the large number of variables to consider and the uncertainty imposed on those variables. Although abundant studies identified barriers and facilitators of effective industrial marketing planning in practice, the literature still lacks practical tools and methods that marketing managers can use for the task. This paper applies fuzzy cognitive maps (FCM) to industrial marketing planning. In particular, agent based inference method is proposed to overcome dynamic relationships, time lags, and reusability issues of FCM evaluation. MACOM simulator also is developed to help marketing managers conduct what-if scenarios to see the impacts of possible changes on the variables defined in an FCM that represents industrial marketing planning problem. The simulator is applied to an industrial marketing planning problem for a global software service company in South Korea. This study has practical implication as it supports marketing managers for industrial marketing planning that has large number of variables and their cause–effect relationships. It also contributes to FCM theory by providing an agent based method for the inference of FCM. Finally, MACOM also provides academics in the industrial marketing management discipline with a tool for developing and pre-verifying a conceptual model based on qualitative knowledge of marketing practitioners.Ministry of Education, Science and Technology (Korea

Complementary or Conflictual? Formal Participation, Informal Participation, and Organizational Performance

Most studies of worker participation examine either formal participatory structures or informal participation. Yet, increasingly, works councils and other formal participatory bodies are operating in parallel with collective bargaining or are filling the void left by its decline. Moreover, these bodies are sprouting in workplaces in which workers have long held a modicum of influence, authority, and production- or service-related information. This study leverages a case from the healthcare sector to examine the interaction between formal and informal worker participation. Seeking to determine whether or not these two forces—each independently shown to benefit production or service delivery—complement or undermine one another, we find evidence for the latter. In the case of the 27 primary care departments that we study, formal structures appeared to help less participatory departments improve their performance. However, these same structures also appeared to impede those departments with previously high levels of informal participation. While we remain cautious with respect to generalizability, the case serves as a warning to those seeking to institute participation in an environment in which some workers have long felt they had the requisite authority, influence, and information necessary to perform their jobs effectively

Research methods and methodologies for studying organisational learning

The purpose of this paper is to compare and evaluate the main research methods and methodologies for studying organisational learning (OL), and propose a framework for their selection. It presents a comprehensive review of literature on OL, learning organisation (LO) and research methods and reports evidence on recent developments in research methods for studying OL. The paper highlighted on the purists and pragmatists’ views of research methodologies as basis of the study. The results revealed that the research methods and methodologies for studying OL do not reflect on the differing views of the purists and pragmatists’ debate but rather conform to the convergence ideologies of the two camps. Particularly, the outcomes augment the use of triangulation and suggest that the choice of method(s) should be consistent with research aims and epistemological philosophy of OL. Consequently, the study recommends OL Research Methods Framework as a useful guide for selecting a suitable approach in the area. The paper recommends ethnography for future research consideration

Toward optimal implementation of cancer prevention and control programs in public health: A study protocol on mis-implementation

Abstract Background Much of the cancer burden in the USA is preventable, through application of existing knowledge. State-level funders and public health practitioners are in ideal positions to affect programs and policies related to cancer control. Mis-implementation refers to ending effective programs and policies prematurely or continuing ineffective ones. Greater attention to mis-implementation should lead to use of effective interventions and more efficient expenditure of resources, which in the long term, will lead to more positive cancer outcomes. Methods This is a three-phase study that takes a comprehensive approach, leading to the elucidation of tactics for addressing mis-implementation. Phase 1: We assess the extent to which mis-implementation is occurring among state cancer control programs in public health. This initial phase will involve a survey of 800 practitioners representing all states. The programs represented will span the full continuum of cancer control, from primary prevention to survivorship. Phase 2: Using data from phase 1 to identify organizations in which mis-implementation is particularly high or low, the team will conduct eight comparative case studies to get a richer understanding of mis-implementation and to understand contextual differences. These case studies will highlight lessons learned about mis-implementation and identify hypothesized drivers. Phase 3: Agent-based modeling will be used to identify dynamic interactions between individual capacity, organizational capacity, use of evidence, funding, and external factors driving mis-implementation. The team will then translate and disseminate findings from phases 1 to 3 to practitioners and practice-related stakeholders to support the reduction of mis-implementation. Discussion This study is innovative and significant because it will (1) be the first to refine and further develop reliable and valid measures of mis-implementation of public health programs; (2) bring together a strong, transdisciplinary team with significant expertise in practice-based research; (3) use agent-based modeling to address cancer control implementation; and (4) use a participatory, evidence-based, stakeholder-driven approach that will identify key leverage points for addressing mis-implementation among state public health programs. This research is expected to provide replicable computational simulation models that can identify leverage points and public health system dynamics to reduce mis-implementation in cancer control and may be of interest to other health areas