Abstract: Emerging technologies are transforming government agencies and the nature of governance. In this paper, we outline how under the leadership  of Steven J. Jost, Associate Director for Communications, the US Census Bureau leveraged emerging technologies during the 2010 census. The US Census Bureau used technologies not only to complete the 2010 census under budget, but also deployed them innovatively to engage citizens through the design of viable participatory platforms. The Census Bureau also managed risks associated with using emerging technologies effectively. The 2010 Census campaign focused on increasing response rates and encouraging citizen participation through innovations in the communication process with citizens and the infusion of technology.

Citation: Desouza, K.C. and Bhagwatwar, A. “Leveraging Technologies in Public Agencies: The Case of the US Census Bureau and the 2010 Census,” Public Administration Review, Forthcoming.

Akshay Bhagwatwar and I have completed a paper on how the US Census Bureau leveraged technologies during the 2010 Census effort. The papers is being made available as part of the Metropolitan Institute Working Paper series.

Emerging technologies are transforming government agencies and the nature of governance. In this paper, we outline how the US Census Bureau leveraged emerging technologies during the 2010 census. The US Census Bureau used technologies not only to complete the 2010 census under budget, but also deployed them innovatively to engage citizens through the design of viable participatory platforms. The Census Bureau also managed risks associated with using emerging technologies effectively. The 2010 Census campaign, led by Steven J. Jost, Associate Director for Communications, focused on increasing response rates and encouraging citizen participation through innovations in the communication process with citizens and the infusion of technology.

Akshay Bhagwatwar is a doctoral student in the Information Systems Department at the Kelley School of Business, Indiana University. His areas of research interest are Information Technology Service Management, Virtual Collaboration and Policy Informatics. For more information on his research work please visit www.akshayb.com.

Škerlavaj, M., Dimovski, V., & Desouza, K.C. (2010): Patterns and Structures of Intra-Organizational Learning Networks Within a Knowledge-Intensive Organization, Journal of Information Technology, 25(2):189-204.

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 homophily (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.

In a networked environment, it is essential for organizations to share knowledge among themselves if they want to achieve global objectives such as collaborative innovation and increased effectiveness and efficiency of operations. However, sharing knowledge is not risk-free. An organization might lose its competitive edge if it shares too much or certain key knowledge. In addition, an organization might suffer if its intellectual property is improperly handled by its business partners. While the literature has touted the value of knowledge sharing within networks, there is a conspicuous absence of studies examining the risks of sharing knowledge. To address this gap, we develop an exploratory framework that categorizes knowledge-sharing risks across multiple dimensions. Such a framework is a structured alternative to practice-based approach to knowledge risk management. It enables a prior identification of various kinds of knowledge risks that organizations are facing.

The use of such framework is not without its limitations. Thus, a complementary paper will be published in the same issue by Marco Marabelli and Sue Newell that presents an alternative approach to knowledge risk management based on a practice perspective of knowledge.

Just a couple of footnotes

• I hold a visiting professorship at the Faculty of Economics, University of Ljubljana
• The Journal of Strategic Information Systems is recognized in the Association of Information Systems (AIS) Senior Scholars’ Basket of Journals. This basket lists the eight leading IS journals.

The research in this paper addresses how individuals’ (workers) knowledge needs influence the design of knowledge management systems (KMS) enabling knowledge creation and utilization. It is evident that KMS technologies and activities are indiscriminately deployed in most organizations with little regard to the actual context of their adoption. Moreover, it is apparent that the extant literature pertaining to knowledge management projects is frequently deficient in identifying the variety of factors indicative for successful KMS. This presents an obvious business practice and research gap which requires a critical analysis of the necessary intervention that will actually improve how workers can leverage and form organization-wide knowledge. Our research involved an extensive review of the literature,  and rigorous data collection and synthesis through an empirical case analyses (Parsons Brinckerhoff and Samsung). The contribution of the research is the formulation of a model for designing KMS based upon the design-science paradigm. The essential proposition of our research is that KMS design and implementation must be contextualized towards knowledge needs and that these will differ for various organizational settings. Our findings therefore present valuable insights and further understanding of the way in which KMS design efforts should be focused.

Baloh, P., Desouza, K.C., and Hackney, R.A. “Contextualizing Organizational Interventions of Knowledge Management Systems: A Design Science Perspective,” Journal of the American Society for Information Science and Technology, Forthcoming.

On October 11, I will head to IESEG’s Lille Campus where I will speak on the topic of Challenges in Inter-Disciplinary Research: Strategies from Crafting Research Ideas to Publishing. In this presentation, I will share my experiences in executing inter-disciplinary research projects. Studying complex phenomenon requires us to undertake research that (1) draws on multiple disciplines, (2) engages a diverse group of stakeholders, (3) appreciates a plurality of research approaches, and (4) communicates to a diverse set of audiences. Executing inter-disciplinary research is no easy feat to accomplish. Researchers face daunting challenges from the onset, beginning with the inception of ideas, then continuing to the crafting of problem statements, executing the research process, and communicating the results via publications in academic and practitioner outlets. However, these challenges should not be viewed as an excuse to abandon inter-disciplinary research in favor of narrow-minded and singular research exercises, which reduce complex phenomenon in deterministic fashions so as to arrive at simplistic problems that lack relevance. I will present a method (process) for executing inter-disciplinary research that has served me well. Illustrative examples of research projects will be used to exemplify this process and outline strategies for researchers to consider when conducting inter-disciplinary research projects.

In addition to the speaking engagements, I will be working on building collaborative research ties between IÉSEG and the Metropolitan Institute at Virginia Tech.

We describe results from historical analysis of the IRS Business Systems Modernization (BSM) as an example of large-scale, public sector projects. The project has already spanned a decade and consumed more than 3 billion dollars. The paper suggests extracting stakeholder Sentiments and Confidence from documents, with a view to exploring how such measures may offer early indications of project progress and assist managers to prevent undesirable future outcomes. The key contribution of this research is a demonstration of a plausible technique to elicit stakeholder perspectives based on the content in publicly available documents, either complementing any existing methods, or supplanting them in projects where collecting primary data may be infeasible.

A previous version of this paper was presented at the 44^th Hawaii International Conference on System Sciences in theElectronic Government Track(Development Methods for Electronic Government, Minitrack).

Policy Informatics

Solving complex public policy problems, dilemmas, and challenges requires deliberate, and sophisticated, information analysis.

Policymakers often are faced with conflicting solutions to complex problems, thus making it necessary for them to test out their assumptions, interventions, and resolutions. Towards this end, it becomes critical for a policymaker to have an information-rich, interactive environment in which complex problems can be modeled, simulated, visualized, and studied.

Relevant information can range from being too abundant to hardly existent. In the former case, we face the challenge of leveraging large quantities of information under severe time and resource constraints. In the latter case, limited or incomplete information has to be used to make decisions on ambiguous solution spaces.

In deliberating, designing, and implementing policies, the policy makers and the public face a number of transactional and collaborative inefficiencies. Some of these inefficiencies arise from the simple reality that information held by both parties is difficult to articulate and even transfer, i.e. information is sticky. This makes it difficult for either party to collaborate as they do not fully empathize with the problems of the other.

In addition, advances in communication and computational technologies enable new pathways to solutions. Rather than trying to solve public problems, governments are able to empower its public to solve their own problems. Crowdsourcing and bottom-up, emergent, problem-solving are desirable as the public have a greater chance of taking charge of their own local problems, voicing their concerns, and arriving at locally relevant solutions. Designing and mobilizing platforms where citizen input is used effectively to solve local problems and collaborative forums improves the results, and therefore the relationships, for both the policy makers and the public.

Policy informatics is the study of how information is leveraged and efforts are coordinated towards solving complex public policy problems. Driven by the need to exploit information to tackle complex policy problems and to ensure efficient and efficient policy setting and implementation platforms, policy informatics seeks to

• enhance policy analysis and design through visualizing, modeling, and simulating complex policy scenarios,
• study the role of information systems and information-based governance platforms in policy planning, deliberation, and implementation,
• advance the management of information systems projects in the public sector,
• study how information analysis and management influences the design of participatory platforms, and
• arrive at theoretical and practical frameworks to advance our knowledge of the roles of information analysis in policy setting, the use of computational techniques in policy contexts, and how information-driven policy setting influences the nature of governance and governance platforms.

Policy informatics helps us advance evidence-driven policy design, wherein scientific models and analyses drive decision-making for resolution of complex policy challenges, dilemmas, and problems. Policy informatics is an emerging field of both research and a community of practice focusing on 1) advancing decision-making in the public sector through information-centric analysis of evidence that leverages computational and technological advances, and 2) designing, managing, and evaluating of information systems and infrastructures for policy construction, analysis, and implementation. Policy informatics expands to the multi-disciplinary nature of the public administration discipline by infusing it with the advances of information technology, management of information systems, and computational and informational science perspectives.