A Study on developing Industrial AI convergence competitiveness Index

2021 ◽  
Vol 16 (4) ◽  
pp. 243-265
Author(s):  
Hanseul Jo ◽  
Jaeheung Yoo ◽  
Wonyoung Cho ◽  
Jungwoo Shin
Keyword(s):  
Competitiveness Index

Competitiveness Index

1992 ◽  
Author(s):  
Robert D. Smither ◽  
John M. Houston
Keyword(s):  
Competitiveness Index

scholarly journals Regional Climate Change Competitiveness—Modelling Approach

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3704
Author(s):  
Agnieszka Karman ◽  
Andrzej Miszczuk ◽  
Urszula Bronisz
Keyword(s):  
Climate Change ◽  
Regional Climate ◽  
Regional Climate Change ◽  
Measurement Scale ◽  
Practical Application ◽  
Adaptation To Climate Change ◽  
Regional Competitiveness ◽  
The Face ◽  
Competitiveness Index ◽  
Modelling Approach

The article deals with the competitiveness of regions in the face of climate change. The aim was to present the concept of measuring the Regional Climate Change Competitiveness Index. We used a comparative and logical analysis of the concept of regional competitiveness and heuristic conceptual methods to construct the index and measurement scale. The structure of the index includes six broad sub-indexes: Basic, Natural, Efficiency, Innovation, Sectoral, Social, and 89 indicators. A practical application of the model was presented for the Mazowieckie province in Poland. This allowed the region’s performance in the context of climate change to be presented, and regional weaknesses in the process of adaptation to climate change to be identified. The conclusions of the research confirm the possibility of applying the Regional Climate Change Competitiveness Index in the economic analysis and strategic planning. The presented model constitutes one of the earliest tools for the evaluation of climate change competitiveness at a regional level.

A quality competitiveness index for benchmarking

1999 ◽  
Vol 6 (1) ◽  
pp. 12-21 ◽  
Author(s):  
Ashok Kumar ◽  
Jaideep Motwani ◽  
Ceasar Douglas ◽  
Narayan Das
Keyword(s):  
Competitiveness Index

International association meetings

2017 ◽  
Vol 24 (3) ◽  
pp. 218-233 ◽  
Author(s):  
Susana Cró ◽  
António Miguel Martins
Keyword(s):  
Regression Analysis ◽  
Least Squares ◽  
Host Country ◽  
International Association ◽  
Ordinary Least Squares ◽  
Travel And Tourism ◽  
Meeting Planners ◽  
Competitiveness Index ◽  
Destination Management Organizations ◽  
Selection Of

The aim of our study is to discuss whether the key frequently identified destination attributes desired by associations and meeting planners determine the number of association meetings organized by each country in 2014. Regression analysis was used by ordinary least squares for the number of association meetings organized in 2014 by each country that shows the importance of 12 countries’ destination attributes reported in the meetings, incentives, conventions and events/exhibitions sector literature and included in the travel and tourism competitiveness index. Our study contributes to the literature in two ways: (i) to identify and evaluate the key attributes in the attraction of association meetings (until now dispersed) and (ii) empirically test the importance of these attributes in the selection of meeting host country. From a practical perspective, these findings give valuable information for destination management organizations and meeting planners about the factors that should be improved in each country in order to be selected more often in the organization of those events.

A Reliability Analysis of the Revised Competitiveness Index

2010 ◽  
Vol 106 (3) ◽  
pp. 870-874 ◽  
Author(s):  
Paul B. Harris ◽  
John M. Houston
Keyword(s):  
Reliability Analysis ◽  
Factor Structure ◽  
Dynamic State ◽  
Retest Reliability ◽  
Stable Factor ◽  
Competitiveness Index ◽  
Test Retest Reliability ◽  
High Test

This study examined the reliability of the Revised Competitiveness Index by investigating the test-retest reliability, interitem reliability, and factor structure of the measure based on a sample of 280 undergraduates (200 women, 80 men) ranging in age from 18 to 28 years ( M = 20.1, SD = 2.1). The findings indicate that the Revised Competitiveness Index has high test-retest reliability, high interitem reliability, and a stable factor structure. The results support the assertion that the Revised Competitiveness Index assesses competitiveness as a stable trait rather than a dynamic state.

scholarly journals Evaluation of Sustainable Development of Tourism Cities Based on SDGs and Tourism Competitiveness Index: Analysis of 221 Prefecture-Level Cities in China

2021 ◽  
Vol 13 (22) ◽  
pp. 12338
Author(s):  
Junli Gao ◽  
Chaofeng Shao ◽  
Sihan Chen ◽  
Zizhang Wei
Keyword(s):  
Sustainable Development ◽  
Yellow River ◽  
Evaluation Index System ◽  
Cultural Resources ◽  
The Sustainable Development ◽  
Development Level ◽  
Protection Systems ◽  
Competitiveness Index ◽  
Development Paths ◽  
Economic Zones

Based on the Sustainable Development Goals and competitiveness index, an evaluation index system for sustainable development of tourism cities was established. The sustainable development level of 221 outstanding tourism cities in 2018 was evaluated, and their sustainable development paths were designed accordingly. The results show the following: (1) There is a large gap in sustainable development scores. In general, no city has achieved a strong sustainable development model. Natural and cultural resources and protection systems are the shortcomings of the systems. (2) The weights of natural and cultural resources and protection systems are the largest, and the weights of natural and cultural resources endowment, degree of tourism infrastructure construction, and economic support for natural and cultural resources are larger. Nature reserve coverage index, network popularity, and other indicators have greater weight. (3) There is a gap in the sustainable development level of tourism cities in the eight comprehensive economic zones. The economic zones in the eastern and southern coastal areas are better than those in the northwest and the middle reaches of the Yellow River. (4) The driving factors of the eight types of tourism cities distinguished by their characteristics are basically the same, but the obstacles are different.

scholarly journals Analisis Pengukuran Daya Saing Destinasi Wisata Berbasis Tourism and Travel Competitiveness Index

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Yuviani Kusumawardhani
Keyword(s):  
Environmental Sustainability ◽  
Air Transportation ◽  
Transportation Infrastructure ◽  
Literature Study ◽  
Travel And Tourism ◽  
Tourist Destinations ◽  
Destination Competitiveness ◽  
Competitiveness Index ◽  
Classical Economic ◽  
Port Infrastructure

<p align="center"><strong>ABSTRACT</strong></p><p>Porter's theory of international competitiveness departs from his belief that classical economic theory that explains comparative advantage is inadequate. A country's competitiveness is determined by the ability of industries to innovate and improve their capabilities. Tourism is currently the star for countries to improve their performance. The Travel and Tourism Competitiveness Index can provide support for countries that want to improve their tourism competitiveness. Literature study in a journal entitled "Measuring Competitiveness Objectives: Application of the Competitiveness Index for Travel and Tourism (2007)" can be a benchmark for measuring Indonesia's tourism power. The advantages of Indonesian tourism so far are still based on the low price factor, but the low price factor is an effective competitiveness factor. This makes Indonesia need to improve other factors that can become more effective competitiveness factors, such as ICT Readiness, Air Transportation Infrastructure, Environmental Sustainability, Land and Port Infrastructure, and Tourist Services Infrastructure.</p><p><strong><em>Keywords: </em></strong><em>Competitiveness, Tourist Destinations, TTCI, Tourism</em></p><p align="center"><strong> </strong></p><p align="center"><strong>ABSTRAK</strong></p><p>Teori Porter tentang daya saing nasional berangkat dari keyakinannya bahwa teori ekonomi klasik yang menjelaskan tentang keunggulan komparatif tidak mencukupi. Daya saing suatu negara ditentukan oleh kemampuan industri melakukan inovasi dan meningkatkan kemampuannya. Pariwisata saat ini menjadi primadona bagi negara-negara untuk meningkatkan perekonomiannya. <em>Travel and Tourism Competitiveness Index</em> dapat memberikan gagasan bagi negara-negara yang ingin meningkatkan daya saing pariwisatanya. Studi kepustakaan pada jurnal yang berjudul “<em>Measuring Destination Competitiveness: An Application of the Travel and Tourism Competitiveness Index</em> (2007)” dapat menjadi sebuah tolak ukur bagaimana mengukur daya saing pariwisata Indonesia. Keunggulan pariwisata Indonesia selama ini masih bertopang pada faktor harga yang murah, namun faktor harga murah pada kenyataannya bukan menjadi salah satu faktor daya saing yang efektif. Hal ini membuat Indonesia perlu melakukan peningkatan pada faktor lainnya yang dapat menjadi faktor daya saing yang lebih efektif, seperti pada <em>ICT Readiness, Air Transportation Infrastructure, Environmental Sustainability, Ground and Port Infrastructure, </em>dan<em> Tourist Service Infrastructure</em>.</p><p><strong>Kata Kunci</strong>: Daya Saing, Destinasi Wisata, TTCI, Pariwisata</p>

Sign in / Sign up

Export Citation Format

Share Document