Archive for the ‘Information Technology’ Category

Moldova’s Internet Revolution accepted for Technology Forecasting and Social Change

Wednesday, May 11th, 2011

Volodymyr V. Lysenko, my doctoral student, and I have a paper accepted for publication at Technology Forecasting and Social Change. This paper examines the role that information and communication technologies played in Moldova's Revolution.

Moldova’s Internet Revolution: Analyzing the Role of Technologies in Various Phases of the Confrontation

Abstract: In recent times we have witnessed the fundamental impacts that information and communication technologies (ICTs) have had on the outcomes of contentious political confrontations. In this paper, we analyze the role played by Internet-based and cellular ICTs in Moldova’s Revolution of April 2009. Specifically, we identify what, why, and how technologies were used during various phases of the uprising. Our findings show that: 1) the protesters organized their initial mobilization through social network services (SNS) and short message service (SMS); 2) Twitter was mostly used during later phases of the revolution – the active street protests and the subsequent information war -- for communication about the conflict both locally and globally; and 3) through skillful use of new Internet-based ICTs, it is possible to conduct a successful revolution without noticeable prior offline organization. Theoretical and practical implications for the study of ICTs in contentious political environments are also discussed.

 

Information Systems “Backsourcing”: A Framework for Knowledge Re-integration

Tuesday, April 12th, 2011

Akshay Bhagwatwar (Indiana University), Ray Hackney (Brunel University) and I have authored a paper that appears in the current issue of Information Systems Management. The paper examines the knowledge re-integration challenges that organizations face as they try to take back previously outsourced IT operations.

Backsourcing is motivated by opportunities arising from changes in the business situation, redefinition of the character of outsourced service declining in quality or due to the discovery of flaws in the contract. The situation of backsourcing clearly has major implications for an organization in terms of monetary investments, IS infrastructure and changes in employee requirements during and after the process. The paper considers a detailed analysis of two case studies of backsourcing reported from JP Morgan Chase (USA) and Sainsbury (UK). A major contribution of the paper is to identify important strategies to be followed in backsourcing projects to ensure efficient knowledge re-integration.

Bhagwatwar, A., Hackney, R. & Desouza, K. C. (2011). Considerations for  Information Systems “Backsourcing”: A Framework for Knowledge Re-integration. Information Systems Management, 28(2), 165-173

To access the paper, please click here: LINK

Knowledge Transfer Behaviors and Social Networks: A Co-evolution Framework

Wednesday, March 16th, 2011

Yuan Lin, my doctoral student, and I have a paper accepted for presentation at the Annual Meeting of the Academy of Management in San Antonio, Texas (August 12-16, 2011).

Individuals’ Knowledge Transfer Behaviors and Social Networks: A Co-evolution Framework

The boom of the network concept in organizational research has resulted in a growing interest in the interplay between organizational members’ knowledge transfer and their social network structure. This paper treats such interplay as a co-evolution process and lay out a theoretical framework, CO-evolution of Individuals and Networks (COIN), to facilitate its modeling. Using a simplified example, we identify the components of a co-evolution model that should be constructed based on substantive theories: cross-level causal mechanisms, network structural factors, individual heterogeneity and autonomy, the relationships among model assumption, inputs and outputs. COIN synthesizes theoretical or empirical evidence that can help construct these components from multiple disciplines (e.g., organizational research, statistics, physics, economics, and sociology). It decomposes the co-evolution process into key constructs and mechanisms and organizes existing theories around them. It also exposes gaps in related work which once filled can facilitate studies on network-behavior co-evolutio

Lin, Y.A., and Desouza, K.C. “Individuals’ Knowledge Transfer Behaviors and Social Networks: A Co-evolution Framework,” In Proceedings of the Annual Meeting of the Academy of Management, San Antonio, TX (August 12-16, 2011).

Building and Sustaining Agile Information Systems – Henry Stewart Talks

Tuesday, March 15th, 2011

My presentation, Building and Sustaining Agile Information Systems, as part of the Strategic Issues in Information Technology: Challenges and Innovations series, is now available online. In this presentation, I discuss practical design guidelines for building and sustaining agile information systems and agile organizations. I focus on four key levers that need to be managed towards this end: information, knowledge, work, and technology.

Desouza, K.C. (2011), "Building and sustaining agile information systems", in Galliers, R.D.(. (ed.), Strategic Issues in Information Technology: Challenges and innovations, The Marketing & Management Collection, Henry Stewart Talks Ltd, London (online at http://hstalks.com/lib.php?t=HST120.2632_1_3&c=250)

Innovation Audit and Visit @ Delta Faucet Company

Thursday, March 3rd, 2011

Next week, I will visit with executives, project managers, platform leaders, and employees at the Delta Faucet Company (Indianapolis, Indiana). I will be conducting an innovation audit, learning about innovation strategies employed by Delta Faucet, and making strategic recommendations on how to bolster the innovation quotient of the organization. Having just completed a book titled Intrapreneurship: Leveraging Ideas within the Organization, I am looking forward to using the models described in the book to study how ideas are generated, mobilized, advocated and screened for, experimented with, commercialized, diffused and implemented by the Delta Faucet Company.

Securing Intellectual Assets: Integrating the Knowledge and Innovation Dimensions

Thursday, February 24th, 2011

At long last, I have received information that my paper on Securing Intellectual Assets: Integrating the Knowledge and Innovation Dimensions will appear in International Journal of Technology Management (Vol. 54, No. 2/3, 2011).

Abstract: The concept of intellectual asset security has received widespread attention in recent times. Much of this attention can be attributed to the fact that knowledge assets can be used to secure competitive advantages for organisations. Moreover, one might assert that in today’s knowledge-based economies and markets, it is these assets that truly differentiate organisations and are the only true source of sustainable competitive advantages. In order to have a robust program for managing intellectual assets, an organisation must account for its knowledge management and innovation processes. In this paper, drawing on 1) a semiotic-based model for knowledge management (Desouza, 2006), and 2) an organisational process of innovation (Desouza et al., 2006), the author describes an integrated process framework for the management of intellectual assets. The framework is then used to describe salient security management challenges faced when managing intellectual assets. Executives involved in security management programs in 23 organisations were interviewed to elicit key security management challenges faced by organisations when addressing intellectual assets. The concept of intellectual asset security has received widespread attention in recent times. Much of this attention can be attributed to the fact that knowledge assets can be used to secure competitive advantages for organisations. Moreover, one might assert that in today’s knowledge-based economies and markets, it is these assets that truly differentiate organisations and are the only true source of sustainable competitive advantages. In order to have a robust program for managing intellectual assets, an organisation mustaccount for its knowledge management and innovation processes. In this paper,drawing on1 a semiotic-based model for knowledge management (Desouza, 2006)2 an organisational process of innovation (Desouza et al., 2006), the author describes an integrated process framework for the management ofintellectual assets. The framework is then used to describe salient security management challenges faced when managing intellectual assets. Executivesinvolved in security management programs in 23 organisations were interviewed to elicit key security management challenges faced byorganisations when addressing intellectual assets.

Towards Evidence-Driven Policy Design to Appear in The Innovation Journal

Friday, January 14th, 2011

My paper co-authored with Yuan Lin, Towards Evidence-Driven Policy Design:  Complex Adaptive Systems and Computational Modeling, will appear in The Innovation Journal: The Public Sector Innovation Journal.

Finally, A Majority of Executives Embrace Experimentation: HBR Blog

Monday, December 27th, 2010

My second post on the Harvard Business Review site went live today! The post was written in collaboration with H. James Wilson and is titled, Finally, A Majority of Executives Embrace Experimentation. The post outlines the value proposition of building an experimentation culture within organizations and how executives can support employee experimentation.

The post has been picked up by Bloomberg Businessweek as well.

We would love to hear your comments on the ideas presented.

Towards Evidence-Driven Policy Design: Complex Adaptive Systems and Computational Modeling

Tuesday, December 14th, 2010

Along with my doctoral student, Yuan Lin, I have co-authored an article that describes how we might move towards evidence-driven policy design. This article draws from the keynote that I have at the 2010 Computational Social Science Society Conference.

Efforts to design public policies for social systems tend to confront highly complex conditions which have a large number of potentially relevant factors to be considered and rapidly changing conditions where continuous adaptation delays or obscures the effect of policies. Given unresolvable uncertainty in policy outcomes, the optimal solution is difficult, if ever possible, to nail down. It is more reasonable to choose a solution that is robust to as many future scenarios that might ensue from the decision. Arriving at such a solution requires policy makers to actively explore and exploit rich information to support their decision making in a cost-efficient, yet rigorous manner. We name this new working style as evidence-driven policy design and outline the characteristics of favorable evidence. We then argue that computational modeling is a potential tool for implementing evidence-driven policy design. It helps the study and design of solutions by simulating various environments, interventions, and the processes in which certain outcomes emerge from the decisions of policy makers. It allows policy makers to observe both the intended and, equally important, unintended consequences of policy alternatives. It also facilitates communication and consensus-building among policy makers and diverse stakeholders.

Deploying IT for Organizational Innovation: Lessons from Case Studies

Friday, December 10th, 2010

Along with several colleagues, Jaka Lindic (University of Ljubljana), Peter Baloh (BISOL, d.o.o), and Vincent Ribière (The Institute for Knowledge and Innovation (IKI-SEA), Bangkok University), I co-authored a paper for the International Journal of Information Management.

Organizations must innovate if they are to survive in today’s fiercely competitive marketplace. In this paper, we explore how leading organizations are using emerging technologies to enable novel forms of ideation that can radically increase the sheer volume of ideas they explore. In addition, we outline how organizations use technologies to cost effectively manage this increased volume of ideas by optimizing generation, mobilization, advocacy and screening, experimentation, commercialization, and even the diffusion and implementation of ideas. Critical to this is the management of knowledge during the innovation process.

Lindic, J., Baloh, P., Ribière, V.M., and Desouza, K.C. “Deploying Information Technologies for Organizational Innovation: Lessons from Case Studies,” International Journal of Information Management, Forthcoming.