scholarly journals Destinations and Data State-of-the-Art in Switzerland and Liechtenstein

2022 ◽  
pp. 200-212
Author(s):  
Elide Garbani-Nerini ◽  
Elena Marchiori ◽  
Lorenzo Cantoni
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
State Of The Art ◽  
The State ◽  
Digital Marketing ◽  
Destination Marketing ◽  
Tourism Studies ◽  
Decision Making Processes ◽  
Smart Tourism ◽  
Analyze Data

AbstractThis research investigates the state of the art among Switzerland (CH)’s and Liechtenstein (FL)’s destinations, intended here as Destination Marketing Organizations (DMOs), when it comes to their relationship with data: what data are collected, how they are stored, analyzed and what impact they have on the destination. This study aims at bringing insights into smart tourism studies as a key aspect of the debate is how DMOs deal with data. Based on a survey performed with CH’s and FL’s DMOs and related stakeholders, results suggested that there are common conceptual nodes shared by practitioners when it comes to defining smart destinations. However, when it comes to data-related practices (data collection, storage, analysis and sharing) DMOs have very different processes in place. There are organizations that collect but do not extensively analyze data, while others are still not so keen on sharing their data with the whole destination ecosystem. Furthermore, organizations’ decision-making processes appear to be based to some extent on data, especially when it comes to (digital) marketing initiatives and campaigns, although behaviors are quite different also in this area. Destination managers might benefit from this paper as the study shows how to investigate data-related practices of an organization. This type of analysis could allow an assessment of the situation and an understanding of the direction in which the organization might move forward.

scholarly journals State-of-the-Art Prescriptive Criteria Weight Elicitation

2012 ◽  
Vol 2012 ◽  
pp. 1-24 ◽  
Author(s):  
Mona Riabacke ◽  
Mats Danielson ◽  
Love Ekenberg
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Theory ◽  
Decision Analysis ◽  
Analytical Methods ◽  
State Of The Art ◽  
Criteria Weights ◽  
Decision Making Processes ◽  
Method Of Assessment ◽  
Descriptive Theories

Comparatively few of the vast amounts of decision analytical methods suggested have been widely spread in actual practice. Some approaches have nevertheless been more successful in this respect than others. Quantitative decision making has moved from the study of decision theory founded on a single criterion towards decision support for more realistic decision-making situations with multiple, often conflicting, criteria. Furthermore, the identified gap between normative and descriptive theories seems to suggest a shift to more prescriptive approaches. However, when decision analysis applications are used to aid prescriptive decision-making processes, additional demands are put on these applications to adapt to the users and the context. In particular, the issue of weight elicitation is crucial. There are several techniques for deriving criteria weights from preference statements. This is a cognitively demanding task, subject to different biases, and the elicited values can be heavily dependent on the method of assessment. There have been a number of methods suggested for assessing criteria weights, but these methods have properties which impact their applicability in practice. This paper provides a survey of state-of-the-art weight elicitation methods in a prescriptive setting.

scholarly journals Hierarchical Decision-Making Problems – Modeling and Solutions

2016 ◽  
Vol 8 (1) ◽  
pp. 311-324
Author(s):  
Tadeusz Krupa ◽  
Teresa Ostrowska
Keyword(s):  
Decision Making ◽  
Critical Infrastructure ◽  
A Priori ◽  
Organizational Structures ◽  
The State ◽  
Hierarchical Decision Making ◽  
University Of Technology ◽  
Hierarchical Decision ◽  
Decision Making Processes ◽  
Key Issues

Abstract Article illustrates the state of the work conducted at the Faculty of Management Warsaw University of Technology on the issue of modeling hierarchical decision-making problems in the context of administrative and infrastructural conditions of the various forms of public safety. The aim is to develop a universal methodology of conduct for the management needs of the public administration, whose powers are focused on maintaining the continuity of the critical infrastructure of the State. The key issues covered by the article are: modeling of hierarchical issues and decision-making processes in the multi-layered organizational structures; harmonization of scales significance of decisionmaking areas with significance weights of elementary decisions in these decision areas; and a priori contradictions of elementary decisions from different decision areas and value assessments of taken problem decisions.

Ecological modernisation and citizen engagement

2014 ◽  
Vol 34 (5/6) ◽  
pp. 302-316 ◽  
Author(s):  
Praveena Rajkobal
Keyword(s):  
Decision Making ◽  
Environmental Governance ◽  
Science And Technology ◽  
Environmental Movement ◽  
The State ◽  
Citizen Engagement ◽  
Content Type ◽  
Desalination Plant ◽  
Decision Making Processes ◽  
Ecological Modernisation

Purpose – Modern environmental governance, especially in developed nations, increasingly embraces ecological modernisation (EM) as a framework for managing environmental resources. EM proposes a political modernisation programme that brings the four institutions the state, private sector, experts and the environmental movement together in addressing challenging environmental issues. The purpose of this paper is to examine the implications of the political modernisation programme on citizen engagement. The paper argues that while citizen engagement through the integration of the environmental movement in decision-making processes is promoted, the prominence given to the state, and science and technology results in a number of issues concerning citizen engagement and more deliberative forms of decision making. Design/methodology/approach – The paper inquires into these issues by building up on the prominent literature in the areas of EM, administrative state, technologically oriented decision making and the case study of the Wonthaggi desalination plant. Findings – While citizen engagement through the integration of the environmental movement in decision-making processes is promoted by some EM theorists, other aspects of EM theory give prominence to the state, and science and technology. The paper asserts that citizens’ voices tend to be overwhelmed in governance projects where the main focus is on capitalist values and scientific knowledge and a main role is played by the state and experts. Originality/value – The paper is an original work done based on the reviews of literature conducted in the relevant areas and research on the Wonthaggi desalination plant to address the question of the realisability of citizen engagement in EM-based environmental governance spaces.

scholarly journals Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention

2018 ◽  
Author(s):  
Ling Luo ◽  
Xiang Ao ◽  
Feiyang Pan ◽  
Jin Wang ◽  
Tong Zhao ◽  
...  
Keyword(s):  
Decision Making ◽  
Sentiment Analysis ◽  
State Of The Art ◽  
Neural Net ◽  
Financial Decisions ◽  
Financial Applications ◽  
Decision Making Processes ◽  
Potential Risks ◽  
Net Framework ◽  
Multiple Granularities

Sentiment analysis has played a significant role in financial applications in recent years. The informational and emotive aspects of news texts may affect the prices, volatilities, volume of trades, and even potential risks of financial subjects. Previous studies in this field mainly focused on identifying polarity~(e.g. positive or negative). However, as financial decisions broadly require justifications, only plausible polarity cannot provide enough evidence during the decision making processes of humanity. Hence an explainable solution is in urgent demand. In this paper, we present an interpretable neural net framework for financial sentiment analysis. First, we design a hierarchical model to learn the representation of a document from multiple granularities. In addition, we propose a query-driven attention mechanism to satisfy the unique characteristics of financial documents. With the domain specified questions provided by the financial analysts, we can discover different spotlights for queries from different aspects. We conduct extensive experiments on a real-world dataset. The results demonstrate that our framework can learn better representation of the document and unearth meaningful clues on replying different users? preferences. It also outperforms the state-of-the-art methods on sentiment prediction of financial documents. 

scholarly journals Spam Review Detection:A Systematic Literature Review

2020 ◽  
Author(s):  
Muhammad Shoaib Farooq
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
State Of The Art ◽  
The State ◽  
Research Gaps ◽  
Art Research ◽  
Fake Reviews ◽  
Research Studies

In this era of technology, people rely on online posted reviews before buying any product. These reviews are very important for both the consumers and people. Consumers and people use this information for decision making while buying products or investing money in any product. This has inclined the spammers to generate spam or fake reviews so that they can recommend their products and beat the competitors. Spammers have developed many systems to generate the bulk of spam reviews within hours. Many techniques, strategies have been designed and recommended to resolve the issue of spam reviews. In this paper, a complete review of existing techniques and strategies for detecting spam review is discussed. Apart from reviewing the state-of-the-art research studies on spam review detection, a taxonomy on techniques of machine learning for spam review detection has been proposed. Moreover, its focus on research gaps and future recommendations for spam review identification.

scholarly journals Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature

2021 ◽  
Author(s):  
Mohammed Assim Alsalem ◽  
Rawia Mohammed ◽  
Osamah Shihab Albahri ◽  
Aws Alaa Zaidan ◽  
Abdullah Hussein Alamoodi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
State Of The Art ◽  
The State

Continuous Assurance and the Use of Technology for Business Compliance

2018 ◽  
pp. 820-830 ◽  
Author(s):  
Rui Pedro Figueiredo Marques
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Organizational Context ◽  
State Of The Art ◽  
The State ◽  
Reliable Information ◽  
Comprehensive Understanding ◽  
Use Of Technology ◽  
Assurance Services

In the current organizational context, in which there is a fierce competitiveness and a constant need for more timely, relevant and reliable information to support the decision making and achieve the strategic and operational objectives, Continuous Assurance has assumed an important role as a management goal and in ensuring improved effectiveness of organizations. This works provides the concept of Continuous Assurance, its objectives and components, and a model which allows both to evaluate information systems with Continuous Assurance services and to help design the requirements of new ones. Finally, some implementations are also presented providing a comprehensive understanding the state-of-the-art and the benefits of Continuous Assurance.

Continuous Assurance and the Use of Technology for Business Compliance

2019 ◽  
pp. 429-441 ◽  
Author(s):  
Rui Pedro Figueiredo Marques
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Organizational Context ◽  
State Of The Art ◽  
The State ◽  
Reliable Information ◽  
Comprehensive Understanding ◽  
Use Of Technology ◽  
Assurance Services

In the current organizational context, in which there is a fierce competitiveness and a constant need for more timely, relevant, and reliable information to support the decision making and achieve the strategic and operational objectives, continuous assurance has assumed an important role as a management goal and in ensuring improved effectiveness of organizations. This chapter provides the concept of continuous assurance, its objectives and components, and a model that allows both to evaluate information systems with continuous assurance services and to help design the requirements of new ones. Finally, some implementations are also presented providing a comprehensive understanding of the state of the art and the benefits of continuous assurance.

Life cycle assessment (LCA) of urban water infrastructure: emerging approaches to balance objectives and inform comprehensive decision-making

2017 ◽  
Vol 3 (6) ◽  
pp. 1002-1014 ◽  
Author(s):  
Diana M. Byrne ◽  
Hannah A. C. Lohman ◽  
Sherri M. Cook ◽  
Gregory M. Peters ◽  
Jeremy S. Guest
Keyword(s):  
Decision Making ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
State Of The Art ◽  
Water System ◽  
The State ◽  
Urban Water ◽  
Water Infrastructure ◽  
Urban Water System ◽  
System Sustainability

This review describes the state of the art, identifies emerging opportunities, and develops a path forward for LCA to better address urban water system sustainability.

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