Exploring Decision-Making Complexity in Major Infrastructure Projects: A Case Study From China

2020 ◽  
Vol 51 (6) ◽  
pp. 617-632
Author(s):  
Qianqian Shi ◽  
Marcel Hertogh ◽  
Marian Bosch-Rekveldt ◽  
Jianbo Zhu ◽  
Zhaohan Sheng

The goal of this study is to identify, classify, explore, and understand decision-making complexity elements in major infrastructure projects (MIPs). This article puts forward systematic definitions of decision making, decision-making quality, and decision-making complexity. Based on literature reviews and an in-depth case analysis of Hong Kong-Zhuhai-Macao Bridge (HZMB), a comprehensive framework of decision-making complexity is developed, which divides the elements into six dimensions: technical, social, financial, legal, organizational, and time. The links between different dimensions are also illustrated. This article is expected to deepen our current understanding of decision-making complexity and to provide a fundamental point of reference in the front-end phase of MIPs.

2020 ◽  
Vol 1 (3) ◽  
pp. 103-132
Author(s):  
Rungamirai Matiure ◽  
Erick Nyoni

This study explored the utility of the learner autonomy concept in the Zimbabwean O Level English as a Second Language (ESL) classroom focusing on three Gweru urban high schools of the Midlands Province. The researchers intended to establish whether learner autonomy was a reality or just a myth in Zimbabwean classrooms. A qualitative multiple case study design was applied focusing on teaching strategies, availability of resources, challenges faced and ways of optimising it. Questionnaires and document analysis were used for data collection. The findings revealed that the concept did not manifest in explicit terms, the learners did not participate in decision making, and the teachers were not adequately prepared to administer autonomous processes with students. For it to be a reality, the Education Ministry is recommended to establish a comprehensive framework of how autonomous learning should be implemented. Teacher training should explicitly focus on how to develop autonomous learners. Teachers ought to be flexible enough to accommodate learners' contributions towards their learning.


2017 ◽  
Vol 23 (4) ◽  
pp. 06017001 ◽  
Author(s):  
Ru Liang ◽  
Zhijie Dong ◽  
Zhaohan Sheng ◽  
Xiangyu Wang ◽  
Changzhi Wu

Author(s):  
Alexandre Bekhradi ◽  
Bernard Yannou ◽  
François Cluzel ◽  
Michael Kokkolaras

Experimentation and validation tests conducted by or for technology startups are often costly, time-consuming, and, above all, not well organized. A review of the literature shows that existing tools and methods are either oriented towards lean iterative tests or strongly focused on technology improvement. There is therefore a gap to bridge by providing tangible decision-making supports involving both market and technology aspects. This paper introduces a new quantitative methodology called RITHM (Roadmapping Investments in TecHnology and Marketing), which is a structured process that enables startups to systematically experiment and reach, with relatively small effort, adequate maturity level for the most promising markets. The objective of this methodology is to model and optimize tests in the front end of innovation to progressively reduce uncertainties and risks before the launch of the product. A case study of a shape shifting technology is presented in this paper to illustrate the application of RITHM.


Author(s):  
Fouad Amiri ◽  
Sietse Overbeek ◽  
Gerard Wagenaar ◽  
Christoph Johann Stettina

AbstractWhile there is a plethora of literature on IT Sourcing (ITS) strategy, little is known about the impact of large-scale agile frameworks on these strategies. Empirical evidence suggests that application of agile frameworks has an impact on governance and processes in large organisations including ITS strategies. Yet, the effects of such frameworks remain unrevealed. This research investigates the impact of agile frameworks on ITS decisions and the way organisations configure their ITS strategies. The research first studies literature to realise that there is a lack of empirical research on ITS strategies in organisations that use agile frameworks. Then, through a systematic literature review, ten different dimensions of ITS are identified and used as the required construct for a multiple-case study at six Netherlands-based organisations. The results reveal that four dimensions, namely sourcing model, location, pricing model, and relational governance are mostly affected by agile frameworks. Furthermore, after more than three years of utilising agile frameworks, case organisations still have not discovered a proper optimum point for these dimensions. The results also uncover that organisations are not fully aware of the impact of agile transformation on the process of ITS decision-making. This process may remain intact for years, resulting in continuous experimentation and trial and error of ITS strategies. We conclude that organisations should recognise the effects of agile frameworks to make ITS decisions accordingly. Additionally, adhering to a more rational and structured decision-making process helps organisations to more efficiently find proper optimum points for the dimensions of ITS strategy.


2007 ◽  
Vol 1 (2) ◽  
pp. 111-136 ◽  
Author(s):  
Moshe Sniedovich

For obvious reasons, models for decision-making under severe uncertainty are austere. Simply put, there is precious little to work with under these conditions. This fact highlights the great importance of utilizing in such cases the ingredients of the mathematical model to the fullest extent, which in turn brings under the spotlight the art of mathematical modeling. In this discussion we examine some of the subtle considerations that are called for in the mathematical modeling of decision-making under severe uncertainty in general, and worst-case analysis in particular. As a case study we discuss the lessons learnt on this front from the Info-Gap experience.


2016 ◽  
Vol 5 (10) ◽  
pp. 95
Author(s):  
Leila Lisiane Rossi ◽  
Gilson Ribeiro Nachtigall ◽  
Luiz Gustavo Moro Senko ◽  
Angela Maria Crotti da Rosa ◽  
Tiago Heineck ◽  
...  

Neste artigo apresenta-se a ferramenta web desenvolvida para auxiliar na análise dos dados relacionados a uma pesquisa realizada sobre o uso e necessidade de tecnologias no ensino nas escolas públicas municipais urbanas de Videira-SC. Inicialmente foram aplicados questionários dirigidos aos alunos e aos professores e, posteriormente, foi desenvolvida a ferramenta usando software livre com o objetivo de permitir a visualização dos dados de forma multidimensional, ou seja, várias dimensões e diferentes níveis de detalhamento para facilitar a análise dos dados na tomada de decisão.Palavras-chave: software livre, tomada de decisão, tecnologia. FREE SOFTWARE AS SUPPORT IN DECISION MAKING WHEN USING AND TEACHING TECHNOLOGIES: CASE STUDY IN THE PUBLIC SCHOOLS OF VIDEIRA CITYAbstractThis paper describes the web tool to support the data analysis in the research project about the technological needs in the public schools from Videira city. At first, questionnaires were applied to teachers and students and then, the tool was created using free software allows the multidimensional data visualization, which means, in other words, different dimensions and levels of details which makes it easier to analyze  data in the decision making process.Key-words: free software, decision making, technology.                                                          


2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.


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