Towards a resilient perspective for the future of offshore platforms. Insights from a data driven approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Francesca Loia ◽  
Nunzia Capobianco ◽  
Roberto Vona
Keyword(s):  
Local Governments ◽  
Alternative Energy ◽  
Data Driven ◽  
Environmental Research ◽  
Offshore Platforms ◽  
Territorial Development ◽  
Content Type ◽  
Circular Model ◽  
The Future ◽  
Data Driven Approach

Purpose This study aims to investigate the collective perception regarding the future of offshore platforms and frame the main categories of meanings associated by the community with the investigated phenomenon. Design/methodology/approach A data driven approach has been conducted. The collection of the peoples’ opinions has been realized on two specific social network communities as follows: Twitter and Instagram. The text mining processes carried out a sentiment and a cluster analysis. Findings The sentiment analysis of the most frequent words has been shown. The following four main homogeneous categories of words are emerged in relation to the decommissioning of offshore platforms: technological areas, green governance (GG), circular economy and socio-economic sphere. Research limitations/implications The alternative use of the offshore platforms, including tourism initiatives, aquaculture, alternative energy generation, hydrogen storage and environmental research, could improve the resilience of communities by offering the development of new jobs and the growth of local and innovative green businesses. Practical implications The adoption of a circular model and GG initiatives aims to limit the input of resources and energy, minimize waste and losses, adopt a sustainable approach and realize new social and territorial value. Originality/value The analysis underlines the importance to adopt a systems perspective, which takes into account the social, economic and environmental system as a whole, the different phenomena that occur and the variety of categories of stakeholders, from users to local governments that participate in the territorial development.

La orientación al dato, nuevos desafíos

Tábula ◽  
2021 ◽  
Author(s):  
Miguel Ángel Amutio Gómez
Keyword(s):  
European Union ◽  
Digital Transformation ◽  
Data Driven ◽  
The European Union ◽  
Data Preservation ◽  
The Future ◽  
Data Driven Approach ◽  
New Challenges ◽  
The Impact

La orientación al dato en el contexto de la transformación digital lleva aparejada la aparición de nuevas regulaciones, dinámicas de gobernanza y roles, y servicios, junto con las correspondientes prácticas, instrumentos y estándares. A la vez se suscitan retos en relación con la ciberseguridad y la preservación de los datos. En este artículo se exponen la transformación digital y la orientación al dato, la proyección de lo anterior en la administración digital, el contexto de la Unión Europea, trayectoria y su orientación, aspectos de la interoperabilidad, ciberseguridad y preservación de los datos, cuestiones de gobernanza y roles en la orientación al dato y, finalmente, unas conclusiones. The data-driven approach in the context of digital transformation entails the appearance of new regulations, governance dynamics and roles, and services, together with the corresponding practices, instruments and standards. At the same time new challenges appear in relation to cybersecurity and data preservation. This article presents the digital transformation and data-driven approach, the impact in digital administration, the context of the European Union, trajectory and orientation towards the future, along with aspects of interoperability, cybersecurity and data preservation, as well as issues of governance and roles in data orientation and finally some conclusions.

scholarly journals Are machines stealing our jobs?

2020 ◽  
Vol 13 (1) ◽  
pp. 153-173 ◽  
Author(s):  
Andrea Gentili ◽  
Fabiano Compagnucci ◽  
Mauro Gallegati ◽  
Enzo Valentini
Keyword(s):  
Cluster Analysis ◽  
International Federation ◽  
Data Driven ◽  
The Political ◽  
Human Labour ◽  
The Future ◽  
Data Driven Approach ◽  
Technological Transition ◽  
Cross Country ◽  
Academic Debate

Abstract This study aims to contribute empirical evidence to the debate about the future of work in an increasingly robotised world. We implement a data-driven approach to study the technological transition in six leading Organisation for Economic Co-operation and Development (OECD) countries. First, we perform a cross-country and cross-sector cluster analysis based on the OECD-STAN database. Second, using the International Federation of Robotics database, we bridge these results with those regarding the sectoral density of robots. We show that the process of robotisation is industry- and country-sensitive. In the future, participants in the political and academic debate may be split into optimists and pessimists regarding the future of human labour; however, the two stances may not be contradictory.

Destination leadership: leadership for territorial development

2014 ◽  
Vol 69 (3) ◽  
pp. 169-172 ◽  
Author(s):  
Metin Kozak ◽  
Michael Volgger ◽  
Harald Pechlaner
Keyword(s):  
Design Methodology ◽  
Local Context ◽  
Success Factor ◽  
Special Issue ◽  
Territorial Development ◽  
Local Networks ◽  
Content Type ◽  
Tourist Destinations ◽  
Local Stakeholders ◽  
The Future

Purpose This paper aims to provide an original body of work that presents and discusses the theory that destination leadership is about proactively shaping the future development of destinations and territories. This is the second part of the special issue of Tourism Review on destination leadership. Design/methodology/approach This editorial introduces the papers included and highlights a few general thoughts about the interplay between destination leadership and territorial development. Findings This introduction summarizes how the papers in this special issue contribute to two streams of research: first, the papers reflect on the necessity of adapting the specific form and style of destination leadership to the development status of a destination. Second, papers highlight that local stakeholders, local knowledge and the local context, in general, have a high impact on destination leadership. Originality/value By summarizing and condensing the various contributions to this special issue, the editorial introduction highlights that destination leadership is about proactively shaping the future of tourist destinations. Furthermore, it argues that this development needs to respect local networks, territorial characteristics, histories and contexts. Therefore, tailoring destination leadership to their own territories seems to be an essential success factor, and in the future, we may want to define Alpine destination leadership, island destination leadership, city destination leadership, etc.

Convergences and divergences between studies on translator training and interpreter training

Target ◽  
2017 ◽  
Vol 29 (1) ◽  
pp. 110-144 ◽  
Author(s):  
Jun Pan ◽  
Honghua Wang ◽  
Jackie Xiu Yan
Keyword(s):  
Journal Article ◽  
Translation Studies ◽  
Data Driven ◽  
Methodological Framework ◽  
Content Type ◽  
Research Themes ◽  
Translator Training ◽  
Data Driven Approach ◽  
Interpreter Training

Discussion on the convergences and divergences between Translation Studies (TS) and Interpreting Studies (IS) has taken place since the emergence of the latter. The unity and divide between translation and interpreting (T&I) activities are also strongly felt in the field of training. This study adopts a data-driven approach to examine research on translator and interpreter training. Based on an annotated database of T&I journal article entries, it shows the differences and similarities in research on translator training and interpreter training. Findings suggest that research on translator training and interpreter training share a thematic and methodological framework, but have different focuses on research themes and methods. The two sub-disciplines have different active authors, institutions and country/area rankings, linked by a small yet possibly growing number of cross-sub-disciplinary producers. These findings will shed much light on our knowledge of T&I activities and research.

The causality link between political risk and stock prices

2019 ◽  
Vol 11 (3) ◽  
pp. 338-367 ◽  
Author(s):  
Huiqiang Wang
Keyword(s):  
Financial Markets ◽  
Risk Premium ◽  
Stock Prices ◽  
Political Risk ◽  
Data Driven ◽  
Synthetic Control ◽  
Political Uncertainty ◽  
Content Type ◽  
Data Driven Approach ◽  
The Impact

Purpose Prior studies have paid close attention to the impact of political risk on financial markets. Following this strand of literature, this paper aims to focus on the causality link between political shocks and their impacts on emerging stock markets. Design/methodology/approach This paper highlights an innovative counterfactual model for political risk assessment. Based on a natural experiment, i.e. the Taiwan Strait Crisis in 1995-1996, this study utilizes one data-driven approach, e.g. the synthetic control methods (SCMs), to estimate causal impact of this political shock on Taiwan’s stock market. Findings Major findings in this study are consistent with existing literature on the price of political risk, e.g. political uncertainty commands a risk premium. The SCM estimations suggest that Taiwan’s stock prices dramatically underperformed its newly industrialized peers and other developed markets during the crisis. The SCM results are statistically significant and robust to various cross-validation tests. Research limitations/implications Findings in this study indicate that political risks could generate enormous impacts on emerging financial markets. In particular, political uncertainty following new geopolitical dynamics requires proper identification and assessment. Originality/value To the author’s knowledge, this paper is the first rigorous counterfactual study to the causality relationship between political uncertainty and stock prices in emerging markets. This paper is distinct from previous studies in applying a data-driven approach to combine the features of learning from others (cross-sectional) and learning from the past (time series).

Design concepts of low-frequency electromagnetic devices based on a data-driven approach

2019 ◽  
Vol 38 (5) ◽  
pp. 1374-1385
Author(s):  
Vahid Ghorbanian ◽  
Mohammad Hossain Mohammadi ◽  
David Lowther
Keyword(s):  
Low Frequency ◽  
Systems Design ◽  
Torque Ripple ◽  
Design Guidelines ◽  
Data Driven ◽  
Design Parameters ◽  
Content Type ◽  
Design Concepts ◽  
Electromagnetic Devices ◽  
Data Driven Approach

PurposeThis paper aims to propose a data-driven approach to determine the design guidelines for low-frequency electromagnetic devices.Design/methodology/approachTwo different devices, a core-type single-phase transformer and a motor-drive system, are used to show the usefulness and generalizability of the proposed approach. Using a finite element solver, a large database of design possibilities is created by varying design parameters, i.e. the geometrical and control parameters of the systems. Design rules are then extracted by performing a statistical analysis and exploring optimal and sub-optimal designs considering various targets such as efficiency, torque ripple and power factor.FindingsIt is demonstrated that the correlation of the design parameters influences the way the data-driven approach must be made. Also, guidelines for defining new design constraints, which can lead to a more efficient optimization routine, are introduced for both case studies.Originality/valueUsing the proposed approach, new design guidelines, which are generally not obtainable by the classical design methods, are introduced. Also, the proposed approach can potentially deal with different parameter–objective correlations, as well as different number of connected systems. This approach is applicable regardless of the device type.

How students’ friendship network affects their GPA ranking

2019 ◽  
Vol 33 (2) ◽  
pp. 535-553
Author(s):  
Yongli Li ◽  
Sihan Li ◽  
Chuang Wei ◽  
Jiaming Liu
Keyword(s):  
Empirical Analysis ◽  
Network Effects ◽  
Network Effect ◽  
Data Driven ◽  
Friendship Network ◽  
Probit Regression ◽  
Content Type ◽  
Data Driven Approach ◽  
The Relationship ◽  
Behaviour Data

Purpose Due to the unintentional or even the intentional mistakes arising from a survey, the purpose of this paper is to present a data-driven method for detecting students’ friendship network based on their daily behaviour data. Based on the detected friendship network, this paper further aims to explore how the considered network effects (i.e. friend numbers (FNs), structural holes (SHs) and friendship homophily) influence students’ GPA ranking. Design/methodology/approach The authors collected the campus smart card data of 8,917 sophomores registered in one Chinese university during one academic year, uncovered the inner relationship between the daily behaviour data with the friendship to infer the friendship network among students, and further adopted the ordered probit regression model to test the relationship between network effects with GPA rankings by controlling several influencing variables. Findings The data-driven approach of detecting friendship network is demonstrated to be useful and the empirical analysis illustrates that the relationship between GPA ranking and FN presents an inverted “U-shape”, richness in SHs positively affects GPA ranking, and making more friends within the same department will benefit promoting GPA ranking. Originality/value The proposed approach can be regarded as a new information technology for detecting friendship network from the real behaviour data, which is potential to be widely used in many scopes. Moreover, the findings from the designed empirical analysis also shed light on how to improve GPA rankings from the angle of network effect and further guide how many friends should be made in order to achieve the highest GPA level, which contributes to the existing literature.

scholarly journals Customers’ experiences of fast food delivery services: uncovering the semantic core benefits, actual and augmented product by text mining

2020 ◽  
Vol 122 (11) ◽  
pp. 3513-3528
Author(s):  
Thorsten Teichert ◽  
Sajad Rezaei ◽  
Juan C. Correa
Keyword(s):  
Text Mining ◽  
Fast Food ◽  
Design Methodology ◽  
Food Delivery ◽  
Point Of View ◽  
Data Driven ◽  
Content Type ◽  
Data Driven Approach ◽  
Delivery Services ◽  
Brand Satisfaction

PurposeThis study conceptualizes food delivery services as service mix decisions (SMDs) and illustrates a data-driven approach for the analysis of customers' written experiences.Design/methodology/approachWeb scraping, text mining techniques as well as multivariate statistics are combined to uncover the structure of the three tiers of SMD from consumers' point of view.FindingsThe analyses reveal that fast food delivery is not primarily about speed but that there are four distinct experiential factors to be considered for SMDs. Fast food delivery services are associated both with the actual product (i.e. product issues and brand satisfaction) and with the augmented product (payment process and service handling).Originality/valueFindings demonstrate the relevance of SMDs in omnichannel food retail environments and guide researchers in multistage analyses of consumers' online food reviews.

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