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Jongwoo (Jonathan) Kim, University of Massachusetts Boston, jonathan.kim@umb.edu
Lan Cao, Old Dominion University, lcao@odu.edu
Kannan Mohan, Baruch College, kannan.mohan@baruch.cuny.edu
Organizations have recognized the importance of the need to swiftly sense and respond to changes in the marketplace. Organizations resort to different approaches to developing organizational agility based on several contextual conditions. Agility can span from operational to strategic in that organizations can focus specifically on streamlining their operations or consider agility at the strategic level focusing on game-changing opportunities. Depending on their focus, organizations need to adapt their approach to agility. This track explores relationship between IT and organizational agility. How does IT play an instrumental role in enabling organizational agility? How does IT shape various business processes in shaping organizational agility? How is agility differentiated across various business processes? What can we learn from specific pockets of literature such as those on agile software development agility, lean development, etc. to develop insights into the relationship between organizational agility and IT? This track is open various types of research including those that use quantitative, qualitative, and theoretical approaches to examining IT-enabled organizational agility.
Sumantra Sarkar, SUNY – Binghamton, ssarkar@binghamton.edu
We live in a turbulent volatile world today. In this context Prahalad (2009) aptly describes this hypercompetitive environment, “In Volatile Times, Agility Rules.” Organizations aspire to be agile in this highly unstable market. IT has enabled organizational agility by helping adapt to changing conditions (Lucas Jr. and Olson 1994), building digital options (Sambamurthy, Bharadwaj et al. 2003), etc. While there has been a great focus on increasing organizational agility with IT enablement, we are not sure whether there have been compromises on security practices while the firm tries to be more agile (Baskerville 2004). Organization agility makes the organization more flexible while security practices follow strict rules and processes. The objective of this minitrack is to invite research articles which investigate the tension between organizational agility through IT enablement and security practices which may have been compromised because of the focus on agility.
Eun Hee (Eunice) Park, Old Dominion University, epark@odu.edu
Tianjie Deng, University of Denver, tianjie.deng@du.edu
As enterprises continue to face harsh business challenges, they require accelerating strategic agility. Strategic agility provides enterprises with innovation, productivity improvement, integration of acquisitions, strategic change, and cultural change (Kotter 2014). Innovative knowledge management supports to achieve this important strategic agility. This minitrack explores new knowledge management approaches and effective enterprise structures to achieve strategic agility and to improve innovation by facilitating interactive scholarly movements and raising significant issues about innovative knowledge management methodology, its requirements, and organizational practices, both from a theoretic and applied perspective.
Peng Xu, University of Massachusetts Boston, peng.xu@umb.edu
One-Ki (Daniel) Lee, University of Massachusetts Boston, daniel.lee@umb.edu
The rapid advancement of information technologies has changed the way businesses operate. Organizations need to compete through various innovations. The pressing need has driven businesses to adopt new technologies such as clouding computing, business intelligence, and big data to enhance their organizational agility. Cloud computing, a new computing model that assigns the computing requests to a great number of distributed computers and service providers, has become a viable alternative for many organizations to access IT resources when needed. As the amount and variety of available data grows, business intelligence and analytics become crucial for organizations to sense and respond to market competition and changing demands. Big data technologies such as in-memory analytics, NoSQL databases, and Hadoop Ecosystem are being adopted by more businesses. However, the understanding of the impact of these information technologies is limited. Much remains to be studied.
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