Dynamism in Complex Engineering: Explaining Uncertainty Growth Through Uncertainty Masking

被引:5
作者
Kreye, Melanie E. [1 ]
Cash, Philip J. [1 ]
Parraguez, Pedro [2 ]
Maier, Anja [1 ]
机构
[1] Danmarks Tekn Univ, Dept Technol Management & Econ, DK-2800 Lyngby, Denmark
[2] Dataverz, DK-1000 Copenhagen, Denmark
关键词
Uncertainty; Technological innovation; Complexity theory; Power generation; Task analysis; Companies; Renewable energy sources; Complexity; content analysis; uncertainty; PRODUCT DEVELOPMENT; TECHNOLOGICAL UNCERTAINTY; PERCEIVED UNCERTAINTY; INFORMATION; DESIGN; IMPACT; TEAM; TIME; ORGANIZATION; STRATEGIES;
D O I
10.1109/TEM.2019.2937570
中图分类号
F [经济];
学科分类号
02 ;
摘要
The development of uncertainty over the progression of a project (i.e., dynamism) is a central issue in engineering management; however, it has been little explored. In this article, we answer the question of how uncertainty develops over the course of complex engineering. We present a case of a renewable energy power plant where we performed content analysis on over 54 000 e-mails. The findings reveal a new mechanism affecting the uncertainty development. We call this mechanism "uncertainty masking" and define it as the process through which a "root uncertainty" is misidentified by the project team, resulting in the creation and management of a "symptomatic uncertainty." The root and symptomatic uncertainty types compound over time and hamper uncertainty resolution, leading to growth in the level of uncertainty during later project stages. We describe the impact of uncertainty masking on the u-shape level of uncertainty in the case project. This article contributes to the engineering-management literature by explaining the observations of uncertainty growth, which existing theory is unable to explain. We, thus, significantly advance uncertainty theory in engineering management.
引用
收藏
页码:1552 / 1564
页数:13
相关论文
共 50 条
[21]   Macroeconomic Uncertainty Through the Lens of Professional Forecasters [J].
Jo, Soojin ;
Sekkel, Rodrigo .
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2019, 37 (03) :436-446
[22]   Uncertainty and long-run economy: the role of R &D and business dynamism [J].
Andrzej Cieślik ;
Mehmet Burak Turgut .
Empirical Economics, 2024, 66 :1403-1441
[23]   Climate engineering under deep uncertainty [J].
Manoussi, Vassiliki ;
Xepapadeas, Anastasios ;
Emmerling, Johannes .
JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 2018, 94 :207-224
[24]   THE UNCERTAINTY OF THE MINING ENGINEERING AND ITS APPLICATION [J].
王家臣 ;
方君实 .
JournalofCoalScience&Engineering(China), 2000, (02) :1-8
[25]   The Role of Uncertainty in Systems Engineering Practice [J].
Nugent, Paul D. .
2016 ANNUAL IEEE SYSTEMS CONFERENCE (SYSCON), 2016, :360-365
[26]   Uncertainty in Fire Protection Engineering Design [J].
Hurley, Morgan J. .
JOURNAL OF TESTING AND EVALUATION, 2012, 40 (01) :12-17
[27]   Quantifying uncertainty and equivocality in engineering projects [J].
Chang, Andrew S. ;
Tien, Chih-Chiang .
CONSTRUCTION MANAGEMENT AND ECONOMICS, 2006, 24 (02) :171-184
[28]   Uncertainty in Fire Protection Engineering Design [J].
Hurley, Morgan J. .
UNCERTAINTY IN FIRE STANDARDS AND WHAT TO DO ABOUT IT, 2011, 2012, 1541 :76-87
[29]   Uncertainty and long-run economy: the role of R &D and business dynamism [J].
Cieslik, Andrzej ;
Turgut, Mehmet Burak .
EMPIRICAL ECONOMICS, 2024, 66 (04) :1403-1441
[30]   Brain tumor growth simulation: model validation through uncertainty quantification [J].
Meghdadi N. ;
Niroomand-Oscuii H. ;
Soltani M. ;
Ghalichi F. ;
Pourgolmohammad M. .
International Journal of System Assurance Engineering and Management, 2017, 8 (03) :655-662