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

Patterns and Structures of Intra-organizational Learning Networks within a Knowledge-Intensive Organization

This paper employs the network perspective to study patterns and structures of intra- organizational learning networks. The theoretical background draws from cognitive theories, theories of homophily and proximity, theories of social exchange, the theory of generalized exchange, small-worlds theory, and social process theory. The levels of analysis applied are actor, dyadic, triadic, and global. Confirmatory social network analysis (exponential random graph modeling) was employed for data analysis. Findings suggest: (1) central actors in the learning network are experienced and hold senior positions in the organizational hierarchy; (2) evidence of homophlly (In terms of gender, tenure, and hierarchical level relations) and proximity (In terms of geographical and departmental distances) in learning relationships; (3) learning relationships are non-reciprocal; and (4) transitivity and high local clustering with sparse inter-cluster ties are significant for intra-organizational learning networks

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

The 2016 US Presidential Election on Facebook: An Exploratory Analysis of Sentiments

Social media platforms are valuable tools for political campaigns. In this study, we analyze a dataset representing over 22 thousand Facebook posts by candidates and over 48 million comments to understand the nature of online discourse. Specifically, we study the interaction between political candidates and the public during the 2016 presidential elections in the United States. We outline a novel method to classify commentators into four groups: strong supporters, supporters, dissenters, and strong dissenters. Comments by each group on policy-related topics are analyzed using sentiment analysis. Finally, we discuss avenues for future research to study the dynamics of social media platforms and political campaigns

Roles of Information Technology in Distributed and Open Innovation Process

In the era of open and distributed innovation, Information Technology (IT) must be leveraged by organizations to reach, record and review ideas from internal (eg. employees) and external sources (eg. business partners). IT can support and enable this process, but only when its roles are understood and when properly deployed. Existing research has inadequately established these roles. Using the processvalue- of-IT lens, we apply a two-step exploratory research. First, the integration process is uncovered; second, the roles and potential of IT are discussed. Three distinct conceptual roles have been identified from the literature review and from interviews in 30 US and European companies that successfully collaborate with externals: Understanding and managing sources, Documenting idea history and source interactions, and Distribution and sharing of ideas. Some of the existing and emerging approaches to support cooperative activities (tool kits, idea management software, wikis) have been considered in context to outline opportunities and trends in the era of open, distributed, and IT-enabled innovation.</p

Beyond Rigor and Relevance Towards Responsibility and Reverberation: Information Systems Research That Really Matters

This paper is an outcome of a panel discussion that was held during the 2005 International Conference on Information Systems (ICIS). The panel, titled, IS Research that Really Matters: Beyond the IS Rigor - Relevance Debate, was organized to foster a discussion on conducting IS research that is significant, in terms of impact, and responsible to the needs of stakeholders. To this end, panel members were asked to push the debate on IS research beyond the traditional arguments of rigor and relevance in research towards IS research that reverberates and is responsible. In doing so, the panel members shared their views on the definition of significant research, who are the stakeholders of IS research and what are their needs, and how do we move the field ahead

Mobile health divide between clinicians and patients in cancer care: results from a cross-sectional international survey

Background: Mobile technologies are increasingly being used to manage chronic diseases, including cancer, with the promise of improving the efficiency and effectiveness of care. Among the myriad of mobile technologies in health care, we have seen an explosion of mobile apps. The rapid increase in digital health apps is not paralleled by a similar trend in usage statistics by clinicians and patients. Little is known about how much and in what ways mobile health (mHealth) apps are used by clinicians and patients for cancer care, what variables affect their use of mHealth, and what patients’ and clinicians’ expectations of mHealth apps are. Objective: This study aimed to describe the patient and clinician population that uses mHealth in cancer care and to provide recommendations to app developers and regulators to generally increase the use and efficacy of mHealth apps. Methods: Through a cross-sectional Web-based survey, we explored the current utilization rates of mHealth in cancer care and factors that explain the differences in utilization by patients and clinicians across the United States and 5 different countries in Europe. In addition, we conducted an international workshop with more than 100 stakeholders and a roundtable with key representatives of international organizations of clinicians and patients to solicit feedback on the survey results and develop insights into mHealth app development practices. Results: A total of 1033 patients and 1116 clinicians participated in the survey. The proportion of cancer patients using mHealth (294/1033, 28.46%) was far lower than that of clinicians (859/1116, 76.97%). Accounting for age and salary level, the marginal probabilities of use at means are still significantly different between the 2 groups and were 69.8% for clinicians and 38.7% for patients using the propensity score–based regression adjustment with weighting technique. Moreover, our analysis identified a gap between basic and advanced users, with a prevalent use for activities related to the automation of processes and the interaction with other individuals and a limited adoption for side-effect management and compliance monitoring in both groups. Conclusions: mHealth apps can provide access to clinical and economic data that are low cost, easy to access, and personalized. The benefits can go as far as increasing patients’ chances of overall survival. However, despite its potential, evidence on the actual use of mobile technologies in cancer care is not promising. If the promise of mHealth is to be fulfilled, clinician and patient usage rates will need to converge. Ideally, cancer apps should be designed in ways that strengthen the patient-physician relationship, ease physicians’ workload, be tested for validity and effectiveness, and fit the criteria for reimbursement