scholarly journals Hybrid Unsupervised Exploratory Plots: A Case Study of Analysing Foreign Direct Investment

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Álvaro Herrero ◽  
Alfredo Jiménez ◽  
Secil Bayraktar
Keyword(s):  
Projection Pursuit ◽  
Clustering Methods ◽  
Visualization Technique ◽  
Host Countries ◽  
Descriptive Data ◽  
Multiple Dimensions ◽  
Open Issue ◽  
Internationalization Strategy ◽  
Exploratory Projection Pursuit

The curse of dimensionality has been an open issue for many years and still is, as finding nonobvious and previously unknown patterns in ever-increasing amounts of high-dimensional data is not an easy task. Advancing in descriptive data analysis, the present paper proposes Hybrid Unsupervised Exploratory Plots (HUEPs) as a new visualization technique to combine the outputs of Exploratory Projection Pursuit and Clustering methods in a novel and informative way. As a case study, HUEPs are validated in a real-world context for analysing the internationalization strategy of companies, by taking into account bilateral distance between home and host countries. As a multifaceted concept, distance encompasses multiple dimensions. Together with data from both the countries and the companies, various psychic distances are analysed by means of HUEPs, to gain deep knowledge of the internationalization strategy of large Spanish companies. Informative visualizations are obtained from the analysed dataset, leading to useful business implications and decision making.

scholarly journals A Decision-Making Tool Based on Exploratory Visualization for the Automotive Industry

2020 ◽  
Vol 10 (12) ◽  
pp. 4355 ◽  
Author(s):  
Raquel Redondo ◽  
Álvaro Herrero ◽  
Emilio Corchado ◽  
Javier Sedano
Keyword(s):  
Decision Making ◽  
Automotive Industry ◽  
Real Life ◽  
Projection Pursuit ◽  
Failure Detection ◽  
Competitive Advantages ◽  
Clustering Methods ◽  
Industrial Companies ◽  
Key Enabling Technologies ◽  
Exploratory Projection Pursuit

In recent years, the digital transformation has been advancing in industrial companies, supported by the Key Enabling Technologies (Big Data, IoT, etc.) of Industry 4.0. As a consequence, companies have large volumes of data and information that must be analyzed to give them competitive advantages. This is of the utmost importance in fields such as Failure Detection (FD) and Predictive Maintenance (PdM). Finding patterns in such data is not easy, but cutting-edge technologies, such as Machine Learning (ML), can make great contributions. As a solution, this study extends Hybrid Unsupervised Exploratory Plots (HUEPs), as a visualization technique that combines Exploratory Projection Pursuit (EPP) and Clustering methods. An extended formulation of HUEPs is proposed, adding for the first time the following EPP methods: Classical Multidimensional Scaling, Sammon Mapping and Factor Analysis. Extended HUEPs are validated in a case study associated with a multinational company in the automotive industry sector. Two real-life datasets containing data gathered from a Waterjet Cutting tool are visualized in an intuitive and informative way. The obtained results show that HUEPs is a technique that supports the continuous monitoring of machines in order to anticipate failures. This contribution to visual data analytics can help companies in decision-making, regarding FD and PdM projects.

Breaking the Shackles of Gender Stereotyping to Create New Norms: The Case of Zimbabwean Migrant Women in Mthatha Town

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Sanction Madambi
Keyword(s):  
South Africa ◽  
Gender Stereotyping ◽  
Personal Agency ◽  
Migrant Women ◽  
Host Countries ◽  
Qualitative Research Design ◽  
Norms And Values ◽  
Recent Case Study ◽  
Traditional Approaches

The migration of Zimbabweans into South Africa is shaped by several factors and processes. Traditionally, the decision to migrate was mostly based on family considerations (where gender stereotypic roles were a priority), although in some cases the migrants exercised individualism and personal agency. This led to migration trends that were male dominated. Current Zimbabwean migration trends reflect large volumes of women as the socio-economic crisis forces them to leave their country. These migrant women encounter a myriad of challenges in their host countries. This paper explores Zimbabwean women’s migration to the town of Mthatha in South Africa, highlighting their challenges and the strategies they employ to overcome these, as found in a recent case study. Applying a qualitative research design and using questionnaires and interviews to gather data from the 100 purposively sampled women, the study found that many Zimbabwean migrant women in Mthatha encountered numerous challenges. They lacked the required documents to live and work in South Africa, experienced exploitation and marriage constraints, and had broken ties with their families back in Zimbabwe. According to the study, these women managed to navigate these challenges, rising above the stereotypic norms and values that used to label them as non-productive citizens to superheroes who were supporting their families and the country’s economy—thus breaking the shackles of gender stereotyping to create new norms. These findings underline the importance of shifting from the traditional approaches to women migration and pursuing perspectives that present migration as a critical component of the process of social change and development to all migrants.

scholarly journals Modeling and Estimating Host Country Values in International Projects to Facilitate In-Country Value Creation

2021 ◽  
Vol 13 (10) ◽  
pp. 5592
Author(s):  
Ludovic-Alexandre Vidal ◽  
Franck Marle ◽  
Mathieu Dernis
Keyword(s):  
Host Country ◽  
Oil And Gas ◽  
Value Chains ◽  
Host Countries ◽  
Complex Projects ◽  
Domain Mapping ◽  
International Projects ◽  
Decision Making Processes ◽  
Industrial Needs

International companies are more and more seeking to act proactively by proposing In-Country Value (ICV) strategies to create sustainable local values in the host countries in which they carry out projects. Still, such sustainable local values are complex to identify because they are often indirectly related to their own value chains, project activities, and outcomes. There are, therefore, both theoretical and industrial needs to model and estimate sustainable values brought by complex projects in host countries, considering direct and indirect effects. In this paper, a systems thinking-based approach combined with a frequency analysis first permitted to build up a model of the sustainable values created by the project in a host country. Then, after underlining the complexity of such a model, a Domain Mapping Matrix (DMM) approach was proposed to help build a process to estimate project impacts in terms of ICV creation. An application to a case study built up with an industrial practitioner (an oil and gas company) permitted to test and validate the overall model and approach. It notably showed how such a model permitted to facilitate discussions among stakeholders and laid the foundations of ICV creation-oriented decision-making processes.

scholarly journals Water security in the Canadian Prairies: science and management challenges

2013 ◽  
Vol 371 (2002) ◽  
pp. 20120409 ◽  
Author(s):  
Howard Wheater ◽  
Patricia Gober
Keyword(s):  
Social Sciences ◽  
Large Scale ◽  
Water Security ◽  
Western Canada ◽  
Deep Uncertainty ◽  
Canadian Prairies ◽  
Multiple Dimensions ◽  
Security Challenges ◽  
Water Problems

In this paper, we discuss the multiple dimensions of water security and define a set of thematic challenges for science, policy and governance, based around cross-scale dynamics, complexity and uncertainty. A case study of the Saskatchewan River basin (SRB) in western Canada is presented, which encompasses many of the water-security challenges faced worldwide. A science agenda is defined based on the development of the SRB as a large-scale observatory to develop the underpinning science and social science needed to improve our understanding of water futures under societal and environmental change. We argue that non-stationarity poses profound challenges for existing science and that new integration of the natural sciences, engineering and social sciences is needed to address decision making under deep uncertainty. We suggest that vulnerability analysis can be combined with scenario-based modelling to address issues of water security and that knowledge translation should be coupled with place-based modelling, adaptive governance and social learning to address the complexity uncertainty and scale dynamics of contemporary water problems.

scholarly journals The Challenges of Institutional Distance: Data Privacy Issues in Cloud Computing

2018 ◽  
Vol 24 (1) ◽  
pp. 161-181 ◽  
Author(s):  
Yashar Abed ◽  
Meena Chavan
Keyword(s):  
Cloud Computing ◽  
Multinational Corporations ◽  
Data Privacy ◽  
Service Providers ◽  
Host Countries ◽  
Case Study Methodology ◽  
Regulatory Constraints ◽  
Cloud Computing Service ◽  
Privacy Issues

Data protection and data privacy are significant challenges in cloud computing for multinational corporations. There are no standard laws to protect data across borders. The institutional and regulatory constraints and governance differ across countries. This article explores the challenges of institutional constraints faced by cloud computing service providers in regard to data privacy issues across borders. Through a qualitative case study methodology, this research compares the institutional structure of a few host countries, with regard to data privacy in cloud computing and delineates a relative case study. This article will also review the cloud computing legal frameworks and the history of cloud computing to make the concept more comprehensible to a layman.

scholarly journals Barcelona’s science diplomacy: towards an ecosystem-driven internationalization strategy

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Alexis Roig ◽  
Jia Liang Sun-Wang ◽  
Juan-Luis Manfredi-Sánchez
Keyword(s):  
Scientific Community ◽  
Public Institutions ◽  
Financial Capital ◽  
Innovation Ecosystem ◽  
Science Diplomacy ◽  
Internationalization Strategy ◽  
Stakeholder Partnerships ◽  
Multi Stakeholder ◽  
Internal Stakeholders

Abstract Urban innovation ecosystems are set to play a prominent role in the internationalization and governance of big cities. By harboring solid scientific and technological assets and attracting both human and financial capital, they are best suited to become the pivotal actors of effective multi-stakeholder partnerships between the scientific community, public institutions, the private sector and civil society. In 2018, Barcelona’s knowledge and innovation ecosystem came together to launch a comprehensive diplomatic strategy to put the city’s science and technology at the forefront of global challenges. This paper presents the case study of Barcelona and discuss the opportunities for city-led science diplomacy as a formal, institutionalized practice aimed to reinforcing the insertion of local interests in the international scene while favouring the open interaction between the internal stakeholders involved.

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