Competitiveness Evaluation Model Research Articles

K-콘텐츠를 활용한 지역관광 활성화 방안 : 춘천 사례를 중심으로

By focusing on the case of Chuncheon, this study explores the local governments' strategies to revitalize local tourism by utilizing K-contents. The study examines Chuncheon’s geographical characteristics, natural resources, cultural resources, and industrial assets within the broader context of K-contents which also includes local content. In-depth interviews with experts and focus group interviews with consumers were conducted. The analysis utilized the 'Local Content-Based Tourism Industry Competitiveness Evaluation Model' which focuses on four key elements: cultural tourism content resources, K-content-based tourism market, strategy and business implementation system, and supporting environment (i.e., infrastructure). The results revealed that while Chuncheon possesses diverse natural and cultural resources, there is a need for improvement in linking and utilizing these assets. The study highlights the necessity of developing and promoting contents that align with current tourism trends and the preferences of the MZ generation. Additionally, it calls for an enhancement of infrastructure, such as accommodation and transportation, to better connect major tourist spots within the city. To foster the cultural and tourism content industry, the study also emphasizes the urgent need to establish governance to systematically support development efforts. The research proposes a five-theme strategy to revitalize tourism in Chuncheon: regional characteristics, culture and festivals, filming location spots, leisure sports, and food. This approach provides practical implications by offering a comprehensive perspective on the current situation, challenges, and revitalization measures for Chuncheon tourism.

Developing an evaluation model for urban tourism competitiveness: combining community construction and community service to foster sustainable development of cities.

This study aims to develop a comprehensive evaluation model for urban tourism competitiveness in China. Given China's transition into a mature tourist destination, there is a pressing need for a framework that can assess the effectiveness of its urban tourism strategies. The model presented in this study is designed to provide a holistic understanding of the factors influencing urban tourism competitiveness in the Chinese context. The methodology employed in this study combines both qualitative and quantitative approaches. A modified version of Porter's Diamond Model serves as the primary framework, augmented by the IMD World Competitiveness Center: International Institute for Management Development (IMD) framework to incorporate social governance and environmental dimensions. To derive comprehensive scores for sustainable development, a linear weighted evaluation method was used, incorporating the coefficient of variation entropy weight method. This approach allows for a quantitative assessment of urban tourism competitiveness from 2008 to 2019. The key findings of the study reveal significant challenges within the current urban tourism landscape in China. These challenges include homogeneous competition, a lack of strategic management, and insufficient service quality. Furthermore, the study identifies the need for greater emphasis on sustainable tourism development, balancing economic benefits with the preservation of cultural and natural assets. Based on the findings, the study proposes several solutions to address the identified challenges. These solutions include creating boutique inland tourism routes, developing unique urban tourism brands, and enhancing regional cooperation and management practices. Additionally, the study emphasizes the importance of integrating community development and services into the evaluation model to foster sustainable tourism development. The proposed solutions offer actionable insights for policymakers and planners seeking to improve the competitiveness and sustainability of urban tourism in China.

Evaluation model of urban tourism competitiveness in the context of sustainable development.

In the contemporary context marked by globalization and the growing prominence of sustainable development, assessing urban tourism competitiveness has emerged as a crucial research domain. This paper aims to develop a comprehensive model for evaluating city tourism competitiveness, grounded in the principles of sustainable development. The model incorporates factors such as city tourism resources, environmental considerations, economic aspects, and societal factors. This holistic approach seeks to offer valuable insights for the city tourism industry. The study conducts a thorough analysis of current research both domestically and internationally, highlighting gaps and articulating the objectives and significance of the research. Employing a machine learning-based empowerment method, the paper determines the significance of evaluation indices and utilizes the Topsis method for assessing urban tourism competitiveness. Distinguishing itself from traditional evaluation methods, this model integrates the principles of sustainable development throughout the evaluation process, with environmental, social, and economic sustainability serving as pivotal evaluation indicators. Empirical analysis involves the evaluation of tourism competitiveness for select cities, facilitating inter-city comparisons. Results from empirical studies demonstrate the model's effectiveness in evaluating urban tourism competitiveness, providing targeted developmental recommendations for urban tourism.

Research on the Measurement of Low-Carbon Competitiveness of Regional Cold Chain Logistics Capacity Based on Triangular Fuzzy Evaluation Rating–Gray Correlation Analysis

Cold chain logistics is an industry that generates high levels of carbon emissions. In the context of a low-carbon economy, it is crucial to recognize the low-carbon competitiveness of regional cold chain logistics and to implement effective measures to guide the development and improvement of their low-carbon competitiveness. This is essential for transitioning the economic development model and promoting low-carbon economic growth. This article proposes a low-carbon competitiveness evaluation model known as the Triangular Fuzzy–Gray Correlation Evaluation Model. This model is based on the Triangular Fuzzy Theory and Gray System Theory. According to the calculated logistics low-carbon competitiveness index, a scatter plot is used to rank and classify the evaluation objects. This method utilizes triangular fuzzy numbers as evaluation levels and further expands upon them by introducing the concept of gray correlation in group decision making. By constructing relative closeness based on curve similarity, the improved method possesses a strong ability to capture information and objectivity compared to traditional models. The selected critical indicators cover four significant aspects: low-carbon environment, low-carbon flow service capability, energy consumption in cold chain logistics, and low-carbon energy transition. Empirical research is being conducted using relevant data from Henan in 2022. The measured results are divided into four levels of competition. Using the diamond model, this study analyzes the development of low-carbon cold chain logistics at different levels in each city and provides corresponding recommendations.

Comprehensive Evaluation Model for Competitiveness of Mass Media Companies in the IoT Sensor Networks

Mass media companies can be elaborated as organizations that manipulate technological components for their various departments such as movie studios, publishing houses, radio and television station management teams that impact a large range of audience via vast communication strategies. The companies have also been referred to as media conglomerates, media groups, or media houses further illustrating their grasp over the global markets and their revenue structures. The largest media companies such as Apple, Disney, and Comcast among others, offer products and services to users that are diverse individuals as well as large organizations leading to significant revenues as well as challenges that have been further explored in a comprehensive manner in the study. IoT utilizes wireless networks that are without infrastructure to install a huge number of wireless sensors that track system, physical, and environmental conditions. If you're wanting to integrate WSN into your business, our highly driven and experienced engineers can give you an all-encompassing solution.

Evaluation of the Competitiveness of China’s Coastal Container Ports In the Context of the Maritime Silk Road

A scientific and reasonable assessment of port competitiveness will facilitate a comprehensive understanding of the current development of Chinese container ports along the Maritime Silk Road. Considering the network attributes of ports and the repetitive information among indicators, this paper proposes a novel port competitiveness evaluation and grading model based on entropy-improved catastrophe progression method. On the basis of a directed and weighted shipping network, the “dominance” indicator is innovatively introduced. The evaluation system including land-oriented competitiveness, sea-oriented competitiveness, hinterland support capacity and production and operation capacity provides a comprehensive assessment of port competitiveness. It is found that: land-oriented and sea-oriented competitiveness have the greatest influence on port competitiveness. A pattern of “One core, two wings, and four ports’ coordination” has been developed among coastal ports in China. The competition among ports in the Bohai Rim region is fierce, and production and operation ability of ports in the southeast coast needs to be strengthened. Fuzhou port and Rizhao port have high hinterland support and high development potential. The results of this paper can provide decision support for the development and upgrading of China’s coastal ports under the Maritime Silk Road initiative.

Tourism Competitiveness Evaluation Model of Urban Historical and Cultural Districts Based on Multi-Source Data and the AHP Method: A Case Study in Suzhou Ancient City

Urban historical and cultural districts, serving as multi-functional compounds integrating cultural preservation, consumer experience, and economic growth, are increasingly becoming the preferred choice for in-depth tourism under the trend of historical heritage protection and consumption upgrading. Due to the complexity of the construction purpose, inherent functions, and operational management of historical districts, scientifically and rationally evaluating them poses a challenge. This paper attempts to construct an evaluation method for the tourism competitiveness of urban historical and cultural districts based on multi-source data and the Analytic Hierarchy Process (AHP) method. First, based on the model of destination competitiveness and combined with literature research and open-ended expert interviews, an evaluation framework for the tourism competitiveness of urban historical and cultural districts is established, using the AHP method to calculate the specific weights of each evaluation indicator. Then, the corresponding data sources for each indicator and the data processing and calculation methods are further clarified. To verify the effectiveness of the proposed evaluation model, this paper selects three key historical and cultural districts in Suzhou City, calculates the tourism competitiveness of each district based on the proposed model, and collects tourist satisfaction surveys from the three districts for cross-validation with the evaluation results. The experimental results show that the evaluation model is reliably effective in assessing the cultural, commercial, and tourism service aspects of historical districts, thereby providing a theoretical basis for future tourism decision-making information systems and practical applications of historical districts.

Analysis of the BP neural network comprehensive competitiveness evaluation model for the development evaluation of B2B E-commerce enterprises

ABSTRACT In today’s steady development of e-commerce, improving enterprise competitiveness is a major challenge that e-commerce enterprises need to face. There are problems with incomplete and inaccurate evaluation systems in commonly used competitiveness evaluation systems. To address these concerns, the study establishes a model for evaluating business-to-business relationships by analyzing indicators of competitiveness. It also examines the algorithm process and neural network structure and incorporates them into the evaluation model. The experiment shows that through training the back propagation neural network, it is discovered that the mean square error of the samples is 9.9869e-06 when the training frequency reaches 3200, resulting in the completion of convergence of the back-propagation neural network. The utilization of back propagation neural networks to enhance the evaluation model of enterprise competitiveness has yielded positive outcomes. Suggestions have been proposed to improve the competitiveness of diverse e-commerce enterprises. This study can furnish enterprise managers with decision support, enhancing enterprise competitiveness and enabling sustainable development.

Research on Competitive Procurement Evaluation Model Based on Rough Set Importance Analysis

Research on Competitive Procurement Evaluation Model Based on Rough Set Importance Analysis

Evaluation of port competitiveness along China’s “Belt and Road” based on the entropy-TOPSIS method

Based on the literature on the factors influencing port competitiveness, this paper evaluates the competitiveness of Chinese ports along the Belt and Road based on Porter’s diamond model. The evaluation system includes four primary indicators, including port infrastructure, port operation scale, port hinterland economic level and port development potential, and 13 secondary indicators. Then, based on the entropy-TOPSIS method, an evaluation model of port competitiveness is constructed. Finally, 15 seaports along China’s “Belt and Road” are used to evaluate competitiveness, and a comprehensive ranking of port competitiveness is obtained. The advantages and shortcomings of each port are pointed out according to the evaluation results to provide a reference for the long-term development of the competitiveness of ports along the “Belt and Road” in China.

An Innovative Mobile Application for Wellness Tourism Destination Competitiveness Assessment: The Research and Development Approach

Objectives: This research developed and evaluated the effectiveness of an innovative mobile application for wellness tourism destination competitiveness and also studied the adoption effectiveness of this application. Methods/Analysis: A mixed-methods research and development approach was applied to construct a wellness tourism destination competitiveness evaluation model for qualitative research using in-depth interviews, followed by quantitative research using a questionnaire. Weighted scores of criteria and indicators for wellness tourism destination competitiveness were evaluated by the DEMATEL method. The cut-off points for classifying the competitiveness level were set by K-means cluster analysis, while the internal and external accuracy of the model were validated by the confusion matrix technique and the Kruskal-Wallis test. The innovative mobile application was developed using a linear waterfall conceptual design consisting of five software development phases: requirement, design, implementation, verification, and maintenance. A questionnaire was also used to assess the adoption and commercialization of the innovative mobile application. Findings: Results showed that 1) the model gave high accuracy with the confusion matrix technique at 85.42% and the Kruskal-Wallis test classified destination competitiveness at a significance level of 0.0001; and 2) the level of adoption of the innovative mobile application was high. Target users were interested in purchasing a license as the commercial mode of the program. Novelty/Improvement:This research provides a tool to assess the overall competitiveness of wellness tourism destinations. Results can be used to support decision-making and provide practical suggestions for wellness tourism cluster users to adapt when conducting their own competitiveness assessment. The competitiveness assessment results were accurate and in line with the research objectives. Doi: 10.28991/HIJ-2023-04-03-010 Full Text: PDF

Understanding the competitiveness factors of Korean contractors in the international construction market

The international construction markets (ICM) are constantly changing with new pressures creating opportunities and threats., Enterprises from advanced major advanced economies have been successful in venturing overseas and winning projects by exploiting their design, engineering, technological, and managerial competencies. Construction markets have changed with Chinese, Japanese, Korean, and Turkish construction enterprises securing more projects overseas. Understanding and exploiting the competitive advantage possessed by enterprises from major advanced economies is being challenged by enterprises from newly industrialised economies. This study investigates the competitiveness factors of the Korean construction (KOC) enterprises to understand how they have been successful in exploiting their competitive advantages. The competitiveness evaluation model (CEM) is developed using system dynamics which compares the project performances between the models generated by general and Korea-featured competitiveness factors in winning work in the ICM. The findings reveal that ownership of the enterprise, government strategy and support for the construction industry enterprises, strong leadership, technology-intensive, and special characteristics of large Korean enterprises (Chaebol system) could be critical factors for creating competitive advantage.

Analysis of the competitive situation among Chinese power battery enterprises based on T-M model

With the support of policies, the power battery industry has already been in the initial stage of high-quality development. However, it is difficult to effectively judge the development potential and competition situation of enterprises only through the overall installed capacity, while it is impossible to effectively use the “supporting the excellent and strong enterprises ” industrial policy and targeted industry funds. In this research, a power battery enterprise competitiveness evaluation model was constructed by considering two dimensions of technical competitiveness and market influence. Taking China’s mainstream power battery enterprises as the research object, the validity of the model was verified and the long-term competition of power battery enterprises was predicted by the bias value of lithium iron phosphate. The results show that: when the bias value of lithium iron phosphate is 0.3, A2 is the market chaser, A5 is the technology chaser, A3 performs well in both technology and market, but there is still a big gap by comparing with A1. When the bias value of lithium iron phosphate is 0.7, in terms of competition landscape, A3 and A5 become technical catchers, especially A3 with more obvious advantages, while A2 and A4 become market catchers, especially A2 with more obvious advantages; in terms of enterprises, the ranking of leading enterprises is almost unchanged, but there are major changes among those enterprises ranked in the middle and rear position. The research results can support the scientific use of industrial policies and industrial funds and promote the power battery industry to move into a high-quality development stage. In the next step, it is required to consider the huge impact of new system battery on the industrial structure and improve the robustness of the model.

Weight Analysis of the Influencing Factors of Homestay Competitiveness in Rural Guangzhou, China

At present, Guangzhou homestay industry is facing a bottleneck. Therefore, it is particularly important to analyze the factors that influence the competitiveness of rural homestays in Guangzhou, determine the evaluation system of competitiveness, and determine the weight of each factor. Based on Porter’s diamond theory, this paper analyzes and summarizes the influencing factors of homestay competitiveness, and divides the influencing factors into 5 primary factors and 34 secondary factors. The analytic hierarchy process (AHP) was used to determine the judgment matrix to form the weight results of each factor, and the results show that product characteristics account for the largest proportion among first level factors. Secondary factors such as theme creativity, personalized brand and the overall score account for a large proportion. The research results can act as a reference for the construction of competitiveness evaluation mechanism and model of local rural quality homestays.

The evaluation of marketing competitiveness of B2B E-commerce enterprises based on optimized deep learning networks

In the context of e-commerce trade between enterprises, there are problems such as price wars, false advertising, and unreasonable operations aimed at seizing market share. However, traditional estimation methods cannot provide a reasonable evaluation of the marketing competitiveness of e-commerce enterprises from an overall perspective. To help enterprises better clarify their own position and quantify their marketing competitiveness, a competitiveness evaluation model based on optimized deep learning networks is proposed. By combining subjective and objective evaluation methods, the indicators that affect the marketing competitiveness of enterprises are assigned to obtain the final competitiveness value. The research outcomes expressed that the max absolute error of the model constructed by the research institute was 0.0006, the max relative error was 0.0045, and the model accuracy was 99.85%. In the secondary indicator experiment of marketing competition, the model determined that the turnover rate of fixed assets had the greatest impact, with a weight value of 0.1263. Nine companies were randomly selected for market value estimation, and the average relative error of the model was 14.90%, which was lower than the mean relative error of the relative valuation, cash flow and absolute valuation methods, with numerical differences of 8.03%, 2.94%, and 0.12%, respectively. The research findings illustrated that the model constructed by the research institute had good performance and certain reference values for evaluating the marketing competitiveness of e-commerce enterprises.

Evaluation of the competitiveness of the container multimodal port hub

The research on the competitiveness of container multimodal transport port hub, comprehensively considering the software and hardware strength of port hub, is of great significance to analyze the specific source competitiveness of port hub, the optimal allocation of multimodal transport capacity resources and port operation management planning. Based on this, according to the principle of fuzzy set and membership function in fuzzy theory, this paper adopts the modeling method of multi-attribute decision-making to deeply analyze the key influencing factors of port hub competitiveness, extract the core indicators from the four aspects of business capacity, transport capacity resources, infrastructure and service quality, and then construct the fuzzy multi-attribute decision-making evaluation model of port hub competitiveness, and take the container transportation in Northeast China as an example. The research shows that the key influencing factors of multimodal transport port hub competitiveness have changed from traditional infrastructure factors to flexible influencing factors such as transportation service quality, transportation capacity and resource integration ability, transportation business efficiency, and port enterprises are in the critical period of industry transformation and upgrading. Strengthening inter industry integration, building industrial ecological alliance and building a multi-mode transportation integrated service chain with port as the core play an obvious role in promoting the formation of the core competitiveness of port hub. Among the ports along the coast of Liaoning, Yingkou Port has the strongest competitiveness against the supply of corn containers in Northeast China, and the competitiveness of other ports from strong to weak is Jinzhou port, Beiliang port, Panjin Port, Huludao port, Dandong port, Dalian port and Suizhong port. The research results enrich the theoretical system of multimodal transport port hub competitiveness research, and provide reference suggestions for port enterprises, transportation enterprises, government departments and other relevant subjects in strategy formulation, policy implementation, layout planning and so on.

Competitiveness Evaluation and Obstacle Factor Analysis of Urban Green and Low-Carbon Development in Beijing-Tianjin-Hebei Cities

Based on the PSR conceptual evaluation model of urban green and low-carbon development competitiveness, this paper evaluates the green and low-carbon development competitiveness of 13 cities in Beijing-Tianjin-Hebei from 2010 to 2019 and reveals their spatial effects and obstacle factors combined with the spatial autocorrelation and obstacle model. The results show the following: (1) In terms of the overall situation, the evaluation index of urban green and low-carbon development competitiveness in the Beijing-Tianjin-Hebei region shows a fluctuating upward trend as a whole from 2010 to 2019. Among them, the comprehensive evaluation indexes of Beijing, Zhangjiakou, and Tianjin are very competitive, while Hengshui, Handan, and Xingtai are relatively weak. (2) In terms of spatial data analysis, the global and local Moran`s I of Beijing-Tianjin-Hebei cities from 2010 to 2019 were positive and passed the 1% significant level test. This shows that the comprehensive evaluation index of urban green low-carbon development competitiveness of Beijing-Tianjin-Hebei cities has a positive spatial correlation, and the spatial agglomeration effect is significant. On the whole, it presents a spatial agglomeration pattern of “high in the north, partial jump, and low in the south”. (3) In the aspect of obstacle factor analysis, the proportion of the tertiary industry output value in GDP, energy consumption of ten thousand yuan of GDP, the urban green technology innovation level, and industrial soot emission of ten thousand yuan of GDP are the main obstacle factors restricting the improvement of urban green low-carbon development competitiveness in Beijing-Tianjin-Hebei cities.

Rural Tourism Competitiveness and Development Mode, a Case Study from Chinese Township Scale Using Integrated Multi-Source Data

Tourism has been seen and adopted as a vital means for achieving rural economic and social revitalization worldwide without harming sustainable development principles. For China, the evaluation of rural tourism competitiveness at the township level is essential for planning and developing the tourism industry as a basic administration and economic unit, but there is not enough research due to the lack of applicable data and systematic methods. Therefore, this study constructed a town-level rural tourism competitiveness evaluation and development mode classification model based on the modified Michael Porter’s Diamond Model using integrated multi-source data. By taking the 1806 township units in Henan Province, China as examples, we conclude four different modes based on the level of the comprehensive score and industrial internal balance (i.e., balanced development mode with multiple advantages, related and supporting industries driving mode, ecological resource-led mode, and rural landscape experience mode). Policy suggestions for the optimization of the rural tourism industry for Henan are discussed based on the results.

Circular economy competitiveness evaluation model based on the catastrophe progression method

Circular Economy Model (CEM) holds the promise to provide an economic benefit while not compromising environmental balance, growth, and competitiveness. The paper presents the proposal of Circular Economy Competitiveness Index (CECI) which measure the development of CEM implementation on country level in areas of social behaviours, business operations, resource management, and innovativeness. CECI combines a catastrophe progression method based on catastrophe theory and principial component analysis into composite index. The paper presents analysis of CECI state and dynamics in EU countries. The model supported with Eurostat data allow to classify the EU countries into four groups based on CEMI dynamic as well as analyse EU traditional regions’ competitiveness in context of CE implementation. Additionally, correlation to Global Competitiveness Index (GCI) has been analysed. The paper presents a quantitative reference for evaluating CE competitiveness and offers relevant implications for EU countries' policymakers in relation to the factors determining that competitiveness.

Developing an Evaluation Model for Monitoring Country-Based Tourism Competitiveness

Using pillars and sub-index from the Travel and Tourism Competitiveness Index (T & TCI) to measure a destination’s competitiveness is popular. Still, its methodology underlying the calculation has been criticized. So the T&TCI Index has not been regarded as a reliable measure of a destination’s competitiveness. In this regard, this paper sought to set out a country-based tourism competitiveness evaluation model with various statistical methods to indicate how important tourism policy development has to design. We used data from an expert survey to examine the attributes and sub-attributes and shape the decision-making. We addressed a theoretical six-step procedure to ensure the evaluation model’s rigor in the model development context. The first was to do data collection. The second was to examine construct underrepresentation. The third was to examine common method bias. The fourth was to examine construct-irrelevant variances. The fifth was to evaluate intergroup consistency. And the sixth was to develop attribute weight. Our study showed that a country-based tourism competitiveness evaluation model encompassed 8 attributes and 28 sub-attributes. We identified cultural uniqueness, ecology and the environment as the two most important attributes. In the end, we addressed the practical contributions of this study and methods to policy-makers and researchers.