CO-EVOLUTION OF ORGANIZATIONAL NETWORK AND INDIVIDUAL BEHAVIOR: AN AGENT-BASED MODEL OF INTERPERSONAL KNOWLEDGE TRANSFER

This study focuses on the co-evolution of informal organizational structures and individual knowledge transfer behavior within organizations. Our research methodology distinguishes us from other similar studies. We use agent-based modeling and dynamic social network analysis, which allow for a dynamic perspective and a bottom-up approach. We study the emergent network structures and behavioral patterns, as well as their micro-level foundations. We also examine the exogenous factors influencing the emergent process. We ran simulation experiments on our model and found some interesting findings. For example, it is observed that knowledgeable individuals are not well connected in the network, and our model suggests that being fully involved in knowledge transfer might undermine individuals’ knowledge advantage over time. Another observation is that when there is high knowledge diversity in the system, informal organizational structure tends to form a network of good reachability; that is, any two individuals are connected via a few intermediates

Economic resilience and crowdsourcing platforms

The increased interdependence and complexity of modern societies have increased the need to involve all members of a community into solving problems. In times of great uncertainty, when communities face threats of different kinds and magnitudes, the traditional top-down approach where government provides solely for community wellbeing is no longer plausible. Crowdsourcing has emerged as an effective means of empowering communities with the potential to engage individuals in innovation, self-organization activities, informal learning, mutual support, and political action that can all lead to resilience. However, there remains limited resource on the topic. In this paper, we outline the various forms of crowdsourcing, economic and community resilience, crowdsourcing and economic resilience, and a case study of the Nepal earthquake. his article presents an exploratory perspective on the link can be found between crowdsourcing and economic resilience. It introduces and describes a framework that can be used to study the impact of crowdsourcing initiatives for economic resilience by future research. An initial a set of indicators to be used to measure the change in the level of resilience is presented.info:eu-repo/semantics/publishedVersio

Centralization and Decentralization Decisions: Multiple Contingencies for IT Governance in the Public Sector

There is often a tension in organizations between the centralization and decentralization of IT governance, as demonstrated by Sambamurthy and Zmud’s (1999) landmark paper on IT governance and contingencies. Allocation of decision rights over IT resources and capabilities is a complex governance decision, with results that vary considerably over organizations. In this paper, we conduct a conceptual replication of the well-established Centralized-Decentralized-Federal classification scheme for IT governance. Using data from the National Association of State CIOs and the Center for Digital Government, we empirically validate the three original underlying IT governance components of IT infrastructure management, IT use management and project management. We next apply a configurational approach to assess the level of centralization/decentralization of IT governance and to link them to states\u27 digital performance. Finally, we test the original theoretically derived IT governance constructs against the empirically derived ones to confirm existing and find emergent IT governance forms and their links with high and low performance. The results support the existing research but identify additional contingencies regarding the different domains of the studies (public versus private sector) and the evolution of IT architecture since the original study that have led to greater centralization over time

Government Services Architecture

To enable \u27future state\u27 service strategies new architectures are required to enable government and regulatory operations to be more open to disruption and innovation. Through a service science perspective, this paper outlines a government services architecture (GSA) to enable social welfare delivery to be driven by, and responsive to, changing social and economic forces. Using Service Dominant Logic as a kernel theory, we developed an initial set of requirements from which three models were derived: 1. GSA Theoretical Framework (research and theories); 2. GSA Meta-Model (objects and relationships) and; 3. GSA Functional Model (functions and interactions). The research provides a practical application of SD-Logic by responding to limitations of government service business models and supporting approaches to architecture. The implications for government and further research is identified