Evaluation Of Competitiveness Research Articles

MADM framework based on 2-tuple linguistic neutrosophic sets and its application to comprehensive evaluation of corporate cultural competitiveness

Corporate culture is the sum of corporate values, systems, and behavioral norms formed in the long-term survival and development of an enterprise. It is the long-term accumulation of consensus among all employees in the enterprise. In the context of today’s global economic integration trend, the role of corporate culture construction in promoting enterprise development, improving business performance, and enhancing internal cohesion and external competitiveness is becoming increasingly significant. How to strengthen the construction of corporate culture and establish excellent corporate culture is increasingly receiving widespread attention from the academic and business communities. The comprehensive evaluation of corporate cultural competitiveness is regarded as multi-attribute decision-making (MADM). The 2TLNSs are employed as a useful tool for characterizing uncertain information during the comprehensive evaluation of corporate cultural competitiveness. In this paper, the dual Hamy mean (DHM) and the power average (PA) are connected with 2-tuple linguistic neutrosophic sets (2TLNSs) to propose the 2-tuple linguistic neutrosophic numbers power weighted DHM (2TLNPWDHM) operator. Then, use the 2TLNPWDHM operator to handle MADM with 2TLNS. Finally, taking the comprehensive evaluation of corporate cultural competitiveness as an example, the proposed method is explained. The main contributions of this study are summarized: the establishment of the 2TLNPWDHM operator; (2) The 2TLNPWDHM operator was developed to handle MADM with 2TLNS; (3) Through the empirical application of the comprehensive evaluation of corporate cultural competitiveness, the proposed method is validated; (4) Some comparative studies have shown the rationality of the 2TLNPWDHM operator.

TOPSIS Tobacco Business Enterprise Based on Entropy Weight Method Cigarette new product evaluation model construction

The tobacco industry takes brand as the core of resource allocation of marketing elements, which is an innovative initiative of the decisive role of market resource allocation. Improving the evaluation system of brand specifications is a key link in promoting moderate brand competition and giving play to the core role of brand resource allocation. At present, tobacco commercial enterprises mainly draw on the brand competitiveness evaluation system, but lack of perfect new product competitiveness evaluation system, resulting in brand cultivation is not precise enough, and new product exit is difficult to market. In this paper, by interpreting the connotation of cigarette new product competitiveness of tobacco commercial enterprises, from the perspective of the whole process of cigarette value realisation, the TOPSIS model is used to construct a comprehensive evaluation model for tobacco commercial enterprises that contains three evaluation dimensions of new product development potential, market status and sales volume scale, and the entropy weighting method is used to assign weights to the seven secondary indicators, so as to provide a solid foundation for the precise cultivation of brands, the evaluation of new products and the market-oriented elimination mechanism of tobacco commercial enterprises. It provides a solid foundation for tobacco commercial enterprises to accurately cultivate brands and improve new product evaluation and market-based elimination mechanism.

Comprehensive evaluation of the international competitiveness of solar photovoltaic products in China, Japan, and Korea under RCEP background.

Under the background of global energy transformation and structural upgrading, the development of solar photovoltaic industry in various countries has been paid attention to, and solar photovoltaic products occupy an important position in the international trade of renewable energy. The signing of the RCEP agreement can create favorable external conditions for the trade and industrial cooperation of solar photovoltaic products, which has attracted global attention. Therefore, based on the background of RCEP, it is of practical significance to analyze the development and export competitiveness of solar energy products in the agreement countries. This paper uses TOPSIS to establish a comprehensive evaluation index system for the international competitiveness of solar photovoltaic products to study the international competitiveness of solar photovoltaic products in China, Japan, and Korea under the context of RCEP. The study shows that (1) China's international competitiveness in solar photovoltaic products is strong and continues to improve, while Japan is declining and Korea is growing slowly. (2) There are significant differences in the components that lead to international competitiveness among different countries. Based on the above findings, this paper proposes corresponding policy recommendations for the three countries.

A Comprehensive Evaluation on the Performances of China’s Information Technology Characteristic Towns Utilizing the Advantage-Oriented Competitive Evaluation (ACE) Method

The characteristic town (CT, or Te Se Xiao Zhen in Chinese) program is among the most important drivers of China’s new urbanization. However, the program aroused countrywide concerns about its rapid elevation, excessive real estate construction, high investment risk, and severe construction homogenization. Despite the policy’s rapid dissemination, there needs to be a theoretical basis and practical guidance for the local government to evaluate CT candidates to ensure the feasibility and sustainability of this novel urbanization practice. Moreover, simply employing traditional evaluation techniques, such as TOPSIS or analytical hierarchical process, may overwhelmingly stress inherited advantages of existing towns and easily overlook the potential candidates in the policy’s early implementation. Thus, the current study employs a novel advantage-oriented competitive evaluation (ACE) approach, which values the comparative advantages of the evaluated objects, to rate the performance of fifteen information technology characteristic towns (ITCTs) comprehensively. The presented work constructs a three-level performance index system based on public statistics, comprehensively evaluates the ITCTs’ performance, and reveals each CT’s unique advantages. The analysis and discussion disclose the evaluated ITCTs’ development status, highlighting the blooming development against public concerns and the ITCTs’ clustering based on unique comparative advantages. The evaluation results also verify that the ACE is an excellent comprehensive evaluation approach that can reveal an object’s comparative advantages from varying facets and depths. Finally, this work briefly concludes the emerging issues of ITCTs’ construction, the limitations of ACE evaluation, and suggestions for future research.

Retracted: A Public Health-Oriented New Energy Industry Competitiveness Evaluation.

[This retracts the article DOI: 10.1155/2022/4573629.].

Evaluation of Urban Logistics Competitiveness Based on Principal Component Analysis

The level of regional economic development is, to a certain extent, reflected by the logistics competitiveness of cities. This paper selects the logistics competitiveness of 21 cities in Sichuan Province, in order to assess the level of logistics competitiveness of cities in Sichuan Province, selects 21 provincial and municipal cities to get logistics indicators, using SPSS 23.0 software to get the evaluation results of the principal components of the analysis and sorting, and based on the results of the evaluation of the development of the corresponding recommendations. The results show that the evaluation results analyzed by the software are basically in line with the actual situation and can provide a reference basis for government departments to guide the development of cities.

An empirical analysis of the impact of Cross-border E-commerce on the competitiveness of SMEs based on the context of big data

Abstract Cross-border E-commerce has advanced greatly with the help of big data technology, cross-border payment and logistics maturity and improvement, and backing from the national “One Belt, One Road” policy. Firstly, based on the study of enterprise core competitiveness evaluation index system, one is proposed for the core competitiveness of Cross-border E-commerce enterprises, and an evaluation model based on SA-LSTM for the core competitiveness of Cross-border E-commerce enterprises is constructed. Then, with the research objective of refining the core competitiveness of Cross-border E-commerce enterprises, the model was applied to empirically analyze the core attractiveness of major domestically listed Cross-border E-commerce enterprises. The results show that laws and regulations have no significant influence on enterprise competitiveness, the regression coefficient is not significant, and the t-value = 1.793 < 2. Hypothesis A is not verified. And the p-values of the technical environment, development potential, market demand, capital management, process cost, information sharing and service level are all less than 0.05, and the regression coefficients are all significant with t-values greater than 2, indicating that indicators B to H has a significant positive influence on enterprise competitiveness. This study reduces the barriers for SMEs to apply Cross-border E-commerce to participate in foreign trade, reduces the cost of enterprises, and improves their own competitiveness.

A multi-attribute decision-making framework for enterprise competitive intelligence system evaluation with 2-tuple linguistic neutrosophic information

Big data is changing our lives and the way we understand the world, as well as the operational patterns of business and social organizations. Fully understanding the value of data and knowing how to use big data to provide a basis for business decision-making has gradually become the most basic thinking that business organizations should possess in the era of big data. Under the thinking mode of data-driven decision-making, many information science researchers have discussed the model, architecture, operation mechanism and other aspects of big data competitive intelligence system. At the same time, more and more enterprises, such as IBM, Amazon, Google, Microsoft, Wal Mart, etc., have begun to attach importance to the development and construction of big data competitive intelligence software systems, and have achieved certain results. The enterprise competitive intelligence system evaluation in the context of big data is regarded as multi-attribute decision-making (MADM). In this paper, the Hamy mean (HM) and the power average (PA) are connected with 2-tuple linguistic neutrosophic sets (2TLNSs) to propose the 2-tuple linguistic neutrosophic numbers power HM (2TLNPHM) operator. Then, use the 2TLNPHM operator to handle MADM with 2TLNS. Finally, taking the enterprise competitive intelligence system evaluation in the context of big data as an example, the proposed method is explained. The main contributions of this study are summarized: the establishment of the 2TLNPHM operator; (2) The 2TLNPHM operator was developed to handle MADM with 2TLNS; (3) Through the empirical application of the enterprise competitive intelligence system evaluation, the proposed method is validated; (4) Some comparative studies have shown the rationality of the 2TLNPHM operator.

Factors Influencing on Competitiveness of China’s Provincial Level Light and Engineering Industry

Establishing a competitiveness evaluation index system of lighting industry, quantitative evaluation of sustainable development performances of the industry, and scientific recognition of shortages against the industrial development have important strategic significance to guide local governments to adjust the industrial development strategies and realize the multi-dimensional goals of sound and sustainable development. In view of connotations of competitiveness of light and engineering industry, a competitiveness evaluation index system of this type industry is established in this study based on the overall goal of the new high-quality development layout. The dimensions of this system cover industrial input capacity, industrial output capacity, industrial technological innovation capability, and policy environmental capacity. Based on data in 2022, the provincial competitiveness level of light and engineering industry in China was evaluated by TOPSIS method and entropy method. Regional heterogeneity, constraints, and spatial characteristics of competitiveness of lighting industry in China were disclosed. Results demonstrate that: – Generally speaking, the sustainable development level of lighting industry in China is increasing gradually; there are relatively high competitiveness level of lighting industry in Guangdong, Zhejiang, and Jiangxi; – The industrial input capacities and the industrial output capacities have significant contributions to competitiveness of lighting industry in China, while industrial technological innovation capability and policy environmental capacity have less contributions; – Competitiveness levels of lighting industry are different in different provinces, showing a pattern of high level in Southeast China and low level in Northwest China, besides constraints against competitiveness of lighting industry also vary significantly among provinces, especially in improving output efficiency; – The competitiveness of lighting industry is weak in key development field, restricted development field, potential growth field and appropriate development field. Thus, improving product quality and safety level, promoting resource saving and strengthening production control ability are common directions for provinces to improve competitiveness of lighting industry. Therefore, this study believes that competitiveness level of lighting industry in China under the new high-quality development layout is required to combine with shortages of regional development, focus on establishment of the lighting industrial system, and solve problems like technological innovation and backward production facilities firstly. Moreover, improving product quality and optimizing resource utilization are breakthroughs to realize sustainable development of the national light and engineering industry.

What’s in my fuel tank? Insights into beliefs and preferences for e-fuels and biofuels

BackgroundAlternative fuels made from biomass or CO2 and water using renewable energy can reduce CO2 and pollutant emissions compared to fossil-based mobility and thus support a transition to a more sustainable transport. The adoption of alternative fuels in transport will ultimately depend on public acceptance and drivers’ willingness to use them. Little is known if and under which circumstances people would accept alternative fuels and which narratives and cognitive beliefs might underlie these usage intentions. Moreover, it is unclear if and how laypeople distinguish between different alternative fuel types in their perceptions, e.g., between fuels made from biomass (biofuels) and fuels produced using electricity (e-fuels). To address the research gap, this study empirically investigated laypeople’s beliefs and expectations towards alternative fuels and preferences for different fuel types. Understanding preferences for fuel types could help in steering public information, support managerial decisions and communication pathways, and promote the roll-out process of fuel innovations.ResultsLaypeople expected alternative fuels to be made using renewable feedstocks and to not contain gasoline or diesel. Whereas alternative fuels were believed to have advantages concerning environmental and toxic effects and safety compared to diesel and gasoline, they were associated with practical disadvantages for drivers. It was shown that although e-fuels and biofuels both fall under the definition of ”alternative fuels”, laypeople distinguish between them in evaluations of safety, costs, and resource competitiveness: E-fuels were preferred over biofuels and believed to have a lower competition for resources than biofuels. They were also evaluated to be more expensive and comparably less safe to use. Moreover, different adopter groups were identified for both fuels.ConclusionsThe study has highlighted both adoption drivers and barriers for alternative fuels: Reduced environmental impact could be an important positive factor. In contrast, drawbacks feared by laypeople regarding a low range and an expensive fuel price could be barriers for alternative fuel adoption because they reflect current technical challenges for these fuels. Thus, a more cost-efficient production and higher fuel efficiency should be considered in an acceptance-optimized alternative fuel production.

Enhanced TODIM method based on VIKOR for interval neutrosophic MAGDM and applications to brand competitiveness evaluation of manufacturing enterprises

A brand is an enterprise’s market image and huge intangible assets. A brand is an enterprise’s market image and huge intangible assets, and it is also a comprehensive embodiment of an enterprise’s core competitiveness. Therefore, continuous improvement of brand competitiveness undoubtedly has far-reaching significance for manufacturing enterprises. Using the brand competitiveness evaluation index system and selected evaluation methods of manufacturing enterprises constructed in this article, the brand competitiveness evaluation index system and selected evaluation methods can not only study the overall brand competitiveness of the participating enterprises, but also understand the advantages and disadvantages of the brand competitiveness of the participating enterprises from different perspectives, To help and guide manufacturing enterprises to strengthen brand building in a targeted manner and continuously improve the brand competitiveness of manufacturing enterprises. The brand competitiveness evaluation of manufacturing enterprises is a classical MAGDM problems. Recently, the TODIM and VIKOR method has been used to cope with MAGDM issues. The interval neutrosophic sets (INSs) are used as a tool for characterizing uncertain information during the brand competitiveness evaluation of manufacturing enterprises. In this manuscript, the interval neutrosophic number TODIM-VIKOR (INN-TODIM-VIKOR) method is built to solve the MAGDM under INSs. In the end, a numerical case study for brand competitiveness evaluation of manufacturing enterprises is given to validate the proposed method.

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.

Similarity measures of double-valued neutrosophic sets based on cotangent function and applications to football players’ competitive ability evaluation

At present, China’s football sports are relatively backward in training theory and practice. If you want to break out of Asia and enter the world, and gain a firm foothold in the international football arena, you must use a scientific and realistic attitude, absorb the successful experience of advanced football countries, reflect on our training concepts and practices, and deeply study the training laws of football, in order to find a way suitable for our development. Athletes’ competitive ability is the core issue of sports training. The failure of our football level is directly related to our systematic understanding of athletes’ competitive ability. This problem has led to the separation of our training practice from the actual competition, making training unable to meet the needs of the competition. Only by solving this problem, can we improve the level of football in China. The football players’ competitive ability evaluation is affirmed as multiple attribute decision making (MADM). In such paper, motivated by the idea of cotangent similarity measure (CSM), the CSMs are extended to DVNSs and four CSMs are created under DVNSs. Then, two weighted CSMs are built for MADM under DVNSs. Finally, a numerical example for Football players’ competitive ability evaluation is affirmed and some comparative algorithms are produced to affirm the built method.

ROUGE-SEM: Better evaluation of summarization using ROUGE combined with semantics

With the development of pre-trained language models and large-scale datasets, automatic text summarization has attracted much attention from the community of natural language processing, but the progress of automatic summarization evaluation has stagnated. Although there have been efforts to improve automatic summarization evaluation, ROUGE has remained one of the most popular metrics for nearly 20 years due to its competitive evaluation performance. However, ROUGE is not perfect, there are studies have shown that it is suffering from inaccurate evaluation of abstractive summarization and limited diversity of generated summaries, both caused by lexical bias. To avoid the bias of lexical similarity, more and more meaningful embedding-based metrics have been proposed to evaluate summaries by measuring semantic similarity. Due to the challenge of accurately measuring semantic similarity, none of them can fully replace ROUGE as the default automatic evaluation toolkit for text summarization. To address the aforementioned problems, we propose a compromise evaluation framework (ROUGE-SEM) for improving ROUGE with semantic information, which compensates for the lack of semantic awareness through a semantic similarity module. According to the differences in semantic similarity and lexical similarity, summaries are classified into four categories for the first time, including good-summary, pearl-summary, glass-summary, and bad-summary. In particular, the back-translation technique is adopted to rewrite pearl-summary and glass-summary that are inaccurately evaluated by ROUGE to alleviate lexical bias. Through this pipeline framework, summaries are first classified by candidate summary classifier, then rewritten by categorized summary rewriter, and finally scored by rewritten summary scorer, which are efficiently evaluated in a manner consistent with human behavior. When measured using Pearson, Spearman, and Kendall rank coefficients, our proposal achieves comparable or higher correlations with human judgments than several state-of-the-art automatic summarization evaluation metrics in dimensions of coherence, consistency, fluency, and relevance. This also suggests that improving ROUGE with semantics is a promising direction for automatic summarization evaluation.

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

Creative Tourism Competitiveness in Chongqing City Using Diamond Model

The development of creative tourism is of great importance to the economic growth of cities. As the only mega-city in western China, the development status and competitiveness of creative tourism in Chongqing city are worth analyzing. This paper uses Porter’s diamond model to analyze the competitiveness of creative tourism in Chongqing; it uses AHP hierarchical analysis and constructs a creative tourism competitiveness evaluation system through expert interviews to compare the competitiveness of creative tourism in Chongqing and Chengdu city to verify the accuracy of the evaluation system, and finally discusses the issues that need attention in enhancing the competitiveness of Chongqing’s cultural and creative tourism development.

The competitiveness analysis of Chinese automobile industry based on Improved Porter Diamond Model

With the rapid development of Chinese automobile industry, it has become one of the pillar industries of the national economy, which plays an increasingly important role in the rapid growth of the national economy. This paper aims to investigate the competitiveness of Chinese automobile industry in different provinces and cities and to quantify the core competitiveness. Improved Porter Diamond Model is adopted to evaluate the factors that affect the Chinese automobile industry, including Industrial structure, Production factors, Demand conditions, Related and supporting industries. The data used for the analysis mainly comes from China Automobile Yearbook. Entropy Method and TOPSIS are applied to calculate the weights of each factor and evaluate the quality level of the indexes. According to the analysis, Guangdong, Jiangsu, Shanghai, Jilin, Shandong, Hubei, Zhejiang, and Beijing have higher scores and top ranking, showing strong core competitiveness, which is consistent with the reality. Tibet, Qinghai, and Ningxia ranked last because of their geographical location, which restricted the development of their automobile industry. The model can truly rank the province’s automobile core competitiveness quantitatively, which is consistent with the reality and has high practical application value. Overall, these results shed light on guiding further exploration of the evaluation and quantification of core competitiveness in different industries.

Competitiveness Evaluation of Express Delivery Enterprises Based on the Information Entropy and Gray Correlation Analysis

With the rise of e-commerce in China, the express delivery industry has developed rapidly; however, in this stage of rapid growth, the development of express delivery enterprises is uneven. There are problems such as high loss, damage rates, and poor service attitudes. An evaluation of the competitiveness of express delivery enterprises can help these companies understand their shortcomings and learn from each other’s strengths, which can promote the long-term development of express delivery enterprises. In this study, the information entropy method and the gray prediction method were used to establish an index system and analyze the core competitiveness of four listed express delivery companies in China, using indicators such as service quality, price level, market position, guarantee ability, and comprehensive strength; the purpose was to study the competitive advantages of these express companies. By using the gray correlation analysis to calculate the degree of correlation and comparing the size of the degree of correlation, it can be concluded that among the four express delivery companies, ZTO Express shows the strongest competitiveness and that Shentong Express is the weakest. Through the evaluation and analysis of the competitiveness of express delivery enterprises, this study provides a reference basis for operation development and competitiveness improvement of express delivery enterprises in China.

RETRACTED ARTICLE: Network Attribute Analysis and Competitiveness Evaluation of Auto Parts Industry Cluster for e-Commerce Platform

The automotive parts industry cluster is a complex operating system, and it is no longer possible to use a simple theory to make a scientific and reasonable explanation for the parts industry cluster. In view of this, the study takes the automotive parts industry cluster as the research object, innovatively invokes the theory of organizational ecology and constructs a competitiveness analysis mechanism based on population co-evolution. The study conducts performance analysis and simulation tests on the constructed model, integrating the CS–AHP evaluation method to evaluate the competitiveness of the parts industry cluster. The performance comparison results show that the research method has a minimum training error of 0.0108, when the number of iterations of the system is 69th. This method has a stable loss function value at the fifth iteration, which is a stable convergence state earlier than the GA algorithm, differential evolution and distribution estimation algorithm. The A-level index score of the off-line platform auto parts industry cluster is 0.5174, which is significantly greater than 0.5. The competitive cooperation effect, technological innovation effect and cluster culture scores of the e-commerce platform are 0.5885, 0.6899 and 0.5329, respectively, which are significantly higher than those of the off-line. The above results show that the accuracy of the research algorithm is higher than that of the off-line industry. The above results show that the accuracy of the research algorithm is better, which can make a reasonable scientific basis for the auto parts industry and carry out competitiveness evaluation. To a certain extent, it can provide technical reference for the future development of the auto field industry.

Collaboration or competition? A science map for promoting the sustainable transition of port relationships

Port relationships have received continuous attention from the academic community. However, the existing studies do not provide a science map for promoting the sustainable transition of port relationships. This study combined quantitative analysis and qualitative discussion on the previous research of port relationships from 1999 to 2022. A total of 339 articles were quantitatively analyzed and visualized the knowledge body of existing studies. The main key research topics and evolution path of these 339 articles were quantitatively analyzed and qualitatively discussed for constructing a science map of port relationships. The results indicate that the academic community of port relationships does not show a significant Matthew effect. Existing research on port relationships is supported by 16 classical references with higher co-citation frequency, and the knowledge foundation of port relationships is divided into three significant co-citation clusters. The main research topics of port relationships show evolutionary trends during different research periods and mainly focus on competition, cooperation, and co-opetition. Finally, three future research directions are predicted based on the science map for guiding the future research of port relationships: (1) integration mechanism and strategy of dry ports and multimodal transportation; (2) comprehensive competitiveness evaluation index system; (3) port adaptation investment assessment method and optimization strategy. This study provides a comprehensive science map for promoting the sustainable transition of e academic collaborations and management practices on port relationships.