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Business Administration, Management, and Operations

Walden University

Volatility

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Full-Text Articles in Business

Leader Readiness In A Volatile, Uncertain, Complex, And Ambiguous Business Environment, Karen Rimita, Stephanie N. Hoon, Robert Levasseur Jan 2020

Leader Readiness In A Volatile, Uncertain, Complex, And Ambiguous Business Environment, Karen Rimita, Stephanie N. Hoon, Robert Levasseur

Journal of Sustainable Social Change

Organizational leaders in the 21st century face relentless changes in the business environments in which they operate. The diversity, intensity, and rapidity of these changes create volatility, uncertainty, complexity, and ambiguity (VUCA), which challenge leaders on ways to lead effectively as existing methods prove inadequate. The problem in this study was that of inadequate leader preparedness to lead and win in VUCA environments. The purpose of this hermeneutic phenomenological study was to explore the lived experiences of 15 Nigerian corporate executives about their VUCA business environment and the strategies they employed for VUCA-readiness and success using open-ended interview questions. The …


Relationship Between Software Development Team Structure, Ambiguity, Volatility, And Project Failure, Dominic Martinelli Saxton Jan 2018

Relationship Between Software Development Team Structure, Ambiguity, Volatility, And Project Failure, Dominic Martinelli Saxton

Walden Dissertations and Doctoral Studies

Complex environments like the United States Air Force's advanced weapon systems are highly reliant on externally developed software, which is often delivered late, over budget, and with fewer benefits than expected. Grounded in Galbraith's organizational information processing theory, the purpose of this correlational study was to examine the relationship between software development team structure, ambiguity, volatility and software project failure. Participants included 23 members of the Armed Forces Communications and Electronics Association in the southeastern United States who completed 4 project management surveys. Results of multiple regression analysis indicated the model as a whole was able to predict software project …