Daniela Firoiu, George H. Ionescu, R. Pîrvu, R. Bădîrcea, Ioana C. Patrichi
In the current economic, social and political context, maintaining a stable trajectory of sustainable development, and thus achieving the UN Sustainable Development Goals, must be the central objective of every European country. The aim of this paper is to evaluate the level of achievement of the Sustainable Development Goals (SDGs) in Portugal, given that there were no similar published studies. The data used in the research was compiled from European Statistical Office – Eurostat, from 2007 until the most recent reports, and were processed and interpreted based on dynamic indices and time series forecasting (ARIMA model). Research results predict 57.50% achievement of the SDG targets, placing Portugal in the ranks of EU countries with high performance in terms of sustainable development and transition to a low-carbon economy.
{"title":"ACHIEVEMENT OF THE SUSTAINABLE DEVELOPMENT GOALS (SDG) IN PORTUGAL AND FORECAST OF KEY INDICATORS UNTIL 2030","authors":"Daniela Firoiu, George H. Ionescu, R. Pîrvu, R. Bădîrcea, Ioana C. Patrichi","doi":"10.3846/tede.2022.17645","DOIUrl":"https://doi.org/10.3846/tede.2022.17645","url":null,"abstract":"In the current economic, social and political context, maintaining a stable trajectory of sustainable development, and thus achieving the UN Sustainable Development Goals, must be the central objective of every European country. The aim of this paper is to evaluate the level of achievement of the Sustainable Development Goals (SDGs) in Portugal, given that there were no similar published studies. The data used in the research was compiled from European Statistical Office – Eurostat, from 2007 until the most recent reports, and were processed and interpreted based on dynamic indices and time series forecasting (ARIMA model). Research results predict 57.50% achievement of the SDG targets, placing Portugal in the ranks of EU countries with high performance in terms of sustainable development and transition to a low-carbon economy.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"1 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86532247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Olimpia I. Ban, L. Droj, Delia A. Tușe, E. Botezat
The Importance-Performance Analysis is a widely used diagnostic tool in many fields of economic activity, such as: transport, health, construction, public food industry, finance, banking, sustainable activities, etc. Despite its use for over 40 years in many economic and social fields, this tool has some important drawbacks that affect the accuracy of managerial decisions. Over time, many variants for improving the standard Importance-performance matrix have been proposed. The aim of our research is to propose a method to solve one of the biggest problems of the standard Importance-Performance Analysis, respectively a method of boosting confidence in the positioning of attributes in the matrix. We use a mathematical method, inspired by classification theory tools, to apply the nine categories division of attributes in the importance-performance plane. Moreover, we introduce a level of confidence in a nine categories Importance-performance matrix, which helps the practitioners to prioritize a decision on attributes, according to the resources, managerial plan, competition, etc. We test and discuss the effectiveness of the new method on two studies: on the green practices in educational restaurant operations and on the financial performance evaluation.
{"title":"OPERATIONALIZATION OF IMPORTANCE-PERFORMANCE ANALYSIS WITH NINE CATEGORIES AND TESTED FOR GREEN PRACTICES AND FINANCIAL EVALUATION","authors":"Olimpia I. Ban, L. Droj, Delia A. Tușe, E. Botezat","doi":"10.3846/tede.2022.17653","DOIUrl":"https://doi.org/10.3846/tede.2022.17653","url":null,"abstract":"The Importance-Performance Analysis is a widely used diagnostic tool in many fields of economic activity, such as: transport, health, construction, public food industry, finance, banking, sustainable activities, etc. Despite its use for over 40 years in many economic and social fields, this tool has some important drawbacks that affect the accuracy of managerial decisions. Over time, many variants for improving the standard Importance-performance matrix have been proposed. The aim of our research is to propose a method to solve one of the biggest problems of the standard Importance-Performance Analysis, respectively a method of boosting confidence in the positioning of attributes in the matrix. We use a mathematical method, inspired by classification theory tools, to apply the nine categories division of attributes in the importance-performance plane. Moreover, we introduce a level of confidence in a nine categories Importance-performance matrix, which helps the practitioners to prioritize a decision on attributes, according to the resources, managerial plan, competition, etc. We test and discuss the effectiveness of the new method on two studies: on the green practices in educational restaurant operations and on the financial performance evaluation.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"66 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80216548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hongyang Li, Shuying Fang, M. Skitmore, N. Talebian
In the 21st Century, the construction industry regards green building as an important breakthrough to achieve sustainable development, and energy-saving retrofits of residential buildings has been conducted globally with China no exception. In order to better understand consumers’ attitudes and willingness-to-pay (WTP) for green retrofits and identify the shortcomings of the industry’s development, this study designs a retrofit scheme and organizes a questionnaire survey to collect feedback of responds from the Pearl River Delta, China regarding their WTP for energy-saving retrofits of residential buildings and their decision factors. The study identifies a retrofit cost of $517.92 and found that 94.29% of respondents had the intention of green reconstruction. The results of a Pearson correlation analysis and one-way ANOVA show the professional background of respondents and their WTP to be negatively correlated, while education level, perceived value, perceived behavior control, and feelings of the surrounding reference group are positively correlated with participants’ expected inputs. Of all the factors considered, the level of education and feelings of the surrounding reference group influence budget most significantly. The findings will help property developers and the government to design better marketing strategies and launch corresponding policies, thereby promoting the development of the green building industry.
{"title":"WILLINGNESS-TO-PAY FOR ENERGY-SAVING RETROFITS OF RESIDENTIAL BUILDINGS AND ITS INFLUENCING FACTORS: THE CASE OF THE PEARL RIVER DELTA, CHINA","authors":"Hongyang Li, Shuying Fang, M. Skitmore, N. Talebian","doi":"10.3846/tede.2022.17582","DOIUrl":"https://doi.org/10.3846/tede.2022.17582","url":null,"abstract":"In the 21st Century, the construction industry regards green building as an important breakthrough to achieve sustainable development, and energy-saving retrofits of residential buildings has been conducted globally with China no exception. In order to better understand consumers’ attitudes and willingness-to-pay (WTP) for green retrofits and identify the shortcomings of the industry’s development, this study designs a retrofit scheme and organizes a questionnaire survey to collect feedback of responds from the Pearl River Delta, China regarding their WTP for energy-saving retrofits of residential buildings and their decision factors. The study identifies a retrofit cost of $517.92 and found that 94.29% of respondents had the intention of green reconstruction. The results of a Pearson correlation analysis and one-way ANOVA show the professional background of respondents and their WTP to be negatively correlated, while education level, perceived value, perceived behavior control, and feelings of the surrounding reference group are positively correlated with participants’ expected inputs. Of all the factors considered, the level of education and feelings of the surrounding reference group influence budget most significantly. The findings will help property developers and the government to design better marketing strategies and launch corresponding policies, thereby promoting the development of the green building industry.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"10 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79683647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Shafi, Katarzyna Szopik-Depczyńska, Katarzyna Cheba, Cristina Ciliberto, Radosław Depczyński, G. Ioppolo
Despite being rich in cultural heritage, traditional handicrafts require innovation to achieve competitiveness. This study addresses the understanding of innovation in traditional handicrafts for sustainable development. The paper emphasizes the importance and potential advantages of innovation and its synergistic effect with cultural traditions leading to sustainable development. Apart of the explanation of most important issues regarding this topic, publications containing the following keywords selected for the study were identified in the WOS database. A total of 500 different publications from 1975 to 2021 were identified. The database was used for text-mining analyses. The clustering method (data mining) was used. The systematic literature review was carried out with the use of VOSviewer software. This tool was used to identify and analyse clusters and dominant research areas and to identify potential new research directions. This has never been done by any author before. We show that future studies should focus on the issue of measuring incremental innovation in cultural creative industries, especially handicraft since this topic is not enough analysed in the literature. The findings can help academics and practitioners to improve the knowledge about the topic and concentrate on identified priority areas to fulfil the assumptions of sustainable development.
{"title":"INNOVATION IN TRADITIONAL HANDICRAFT COMPANIES TOWARDS SUSTAINABLE DEVELOPMENT. A SYSTEMATIC LITERATURE REVIEW","authors":"M. Shafi, Katarzyna Szopik-Depczyńska, Katarzyna Cheba, Cristina Ciliberto, Radosław Depczyński, G. Ioppolo","doi":"10.3846/tede.2022.17085","DOIUrl":"https://doi.org/10.3846/tede.2022.17085","url":null,"abstract":"Despite being rich in cultural heritage, traditional handicrafts require innovation to achieve competitiveness. This study addresses the understanding of innovation in traditional handicrafts for sustainable development. The paper emphasizes the importance and potential advantages of innovation and its synergistic effect with cultural traditions leading to sustainable development. Apart of the explanation of most important issues regarding this topic, publications containing the following keywords selected for the study were identified in the WOS database. A total of 500 different publications from 1975 to 2021 were identified. The database was used for text-mining analyses. The clustering method (data mining) was used. The systematic literature review was carried out with the use of VOSviewer software. This tool was used to identify and analyse clusters and dominant research areas and to identify potential new research directions. This has never been done by any author before. We show that future studies should focus on the issue of measuring incremental innovation in cultural creative industries, especially handicraft since this topic is not enough analysed in the literature. The findings can help academics and practitioners to improve the knowledge about the topic and concentrate on identified priority areas to fulfil the assumptions of sustainable development.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"4 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79848543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study focuses on the mixed-ownership reform of state-owned enterprises in an industry chain. By constructing an oligopoly model considering the proportion of state-owned shares and product differentiation, this study examines the impacts of the balance of state-owned shares and product differentiation in four scenarios, and analyzes the proportion of state-owned shares to maximize the social welfare of the industry chain. The results reveal a synergistic relationship between the balance of state-owned shares and product differentiation. The equilibrium results vary in different industry chain links and competition modes. The implementation of mixed ownership by upstream enterprises will help improve the overall efficiency of the industry chain. Complete nationalization may be optimal and an upstream monopoly can be realized under certain conditions.
{"title":"THE OPTIMAL PROPORTION OF STATE-OWNED SHARES IN AN INDUSTRY CHAIN","authors":"Xiao Kong, Chao Sun, Jiali Liu, Junlong Chen","doi":"10.3846/tede.2022.17155","DOIUrl":"https://doi.org/10.3846/tede.2022.17155","url":null,"abstract":"This study focuses on the mixed-ownership reform of state-owned enterprises in an industry chain. By constructing an oligopoly model considering the proportion of state-owned shares and product differentiation, this study examines the impacts of the balance of state-owned shares and product differentiation in four scenarios, and analyzes the proportion of state-owned shares to maximize the social welfare of the industry chain. The results reveal a synergistic relationship between the balance of state-owned shares and product differentiation. The equilibrium results vary in different industry chain links and competition modes. The implementation of mixed ownership by upstream enterprises will help improve the overall efficiency of the industry chain. Complete nationalization may be optimal and an upstream monopoly can be realized under certain conditions.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"48 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2022-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87865295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rita T. Rocha, Fernando A. F. Ferreira, Alexandra Milici, Nerija Banaitienė, A. Banaitis
The world is going through an unprecedent experience marked by one of the most serious pandemic to date. Companies currently face multiple challenges, including maintaining their organizational culture while defining and validating new working and business models and completely rethinking past competitive advantages. Innovation is a fundamental part of these processes. This study identifies the main findings in the literature on company culture and the promotion of innovation within organizations. Problem structuring methods (i.e., design thinking (DT) and decision making trial and evaluation laboratory (DEMATEL)) were applied to explore innovation culture further and apply the results to the multinational advertising agency VMLY&R Lisboa in order to delineate this company’s culture and enhance its potential for innovation. An expert panel was recruited to develop a fuller understanding of the cause-effect relationships between factors that influence innovation and to enable a more collaborative, constructivist approach to this decision problem. The main findings were validated by VMLY&R Lisboa’s chief executive officer, and concrete initiatives were proposed that can enhance this company’s innovation culture. The study’s contributions and limitations are also discussed.
{"title":"ENHANCING INNOVATION CULTURE: THE CASE OF MULTINATIONAL ADVERTISING AGENCY VMLY&R LISBOA","authors":"Rita T. Rocha, Fernando A. F. Ferreira, Alexandra Milici, Nerija Banaitienė, A. Banaitis","doi":"10.3846/tede.2022.17311","DOIUrl":"https://doi.org/10.3846/tede.2022.17311","url":null,"abstract":"The world is going through an unprecedent experience marked by one of the most serious pandemic to date. Companies currently face multiple challenges, including maintaining their organizational culture while defining and validating new working and business models and completely rethinking past competitive advantages. Innovation is a fundamental part of these processes. This study identifies the main findings in the literature on company culture and the promotion of innovation within organizations. Problem structuring methods (i.e., design thinking (DT) and decision making trial and evaluation laboratory (DEMATEL)) were applied to explore innovation culture further and apply the results to the multinational advertising agency VMLY&R Lisboa in order to delineate this company’s culture and enhance its potential for innovation. An expert panel was recruited to develop a fuller understanding of the cause-effect relationships between factors that influence innovation and to enable a more collaborative, constructivist approach to this decision problem. The main findings were validated by VMLY&R Lisboa’s chief executive officer, and concrete initiatives were proposed that can enhance this company’s innovation culture. The study’s contributions and limitations are also discussed.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"49 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72863008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Technological innovation is a long-term activity with highly unpredictable returns on investment, which makes SMEs with information problems and lack of collateral value be vulnerable to financing constraints when engaging in innovation activities. This study incorporates financing and R&D activities into the evaluation of innovation efficiency and further considers the impact of financial regulation as an external factor in technology-based SMEs in China. This study puts forward a three-stage dynamic DDF-DEA model to explore the overall innovation efficiency as well as the efficiency of each stage in technology-based SMEs by dividing the innovation process into three stages, namely the financing stage, R&D stage and operating stage. The study reveals that the overall efficiency of innovation are higher in non-coastal areas of China than in coastal areas. Non-coastal regions have higher efficiency in the financing and operating stages, while coastal regions have higher efficiency in the R&D stage. Strengthening financial regulation could improve the financing and R&D efficiency both in coastal and non-coastal areas, but it has different effect on the operating efficiency in coastal and non-coastal areas. The results of this study could provide some reference for China and other emerging economies to formulate policies in improving the efficiency of financing and R&D.
{"title":"THE EFFICIENCY OF FINANCING AND R&D IN TECHNOLOGY-BASED SMES AND IMPACT OF FINANCIAL REGULATION","authors":"Yongqi Feng, Haolin Zhang, Yung‐ho Chiu, Tzu‐Han Chang","doi":"10.3846/tede.2022.17309","DOIUrl":"https://doi.org/10.3846/tede.2022.17309","url":null,"abstract":"Technological innovation is a long-term activity with highly unpredictable returns on investment, which makes SMEs with information problems and lack of collateral value be vulnerable to financing constraints when engaging in innovation activities. This study incorporates financing and R&D activities into the evaluation of innovation efficiency and further considers the impact of financial regulation as an external factor in technology-based SMEs in China. This study puts forward a three-stage dynamic DDF-DEA model to explore the overall innovation efficiency as well as the efficiency of each stage in technology-based SMEs by dividing the innovation process into three stages, namely the financing stage, R&D stage and operating stage. The study reveals that the overall efficiency of innovation are higher in non-coastal areas of China than in coastal areas. Non-coastal regions have higher efficiency in the financing and operating stages, while coastal regions have higher efficiency in the R&D stage. Strengthening financial regulation could improve the financing and R&D efficiency both in coastal and non-coastal areas, but it has different effect on the operating efficiency in coastal and non-coastal areas. The results of this study could provide some reference for China and other emerging economies to formulate policies in improving the efficiency of financing and R&D.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"103 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79265359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ningna Liao, G. Wei, Xinrui Xu, Xudong Chen, Yanfeng Guo
With the rise of the concept of environmental protection and the attention of all sectors of society to the ecological environment, the selection of green suppliers is a hot topic. In this paper, we develop the combinative distance-based assessment (CODAS) method in the probabilistic hesitant fuzzy sets (PHFSs) to cope with the multiple attributes group decision making (MAGDM). A standardized approach that integrates multiple methods is applied to normalize the original data. Moreover, the statistics variance (SV) method is applied under PHFSs to calculate the objective weighting vector of evaluation criteria. In the end, a case for supplier selection and the comparative analysis are used to confirm the feasibility and utility of this new approach.
{"title":"CODAS METHOD WITH PROBABILISTIC HESITANT FUZZY INFORMATION AND ITS APPLICATION TO ENVIRONMENTALLY & ECONOMICALLY BALANCED SUPPLIER SELECTION","authors":"Ningna Liao, G. Wei, Xinrui Xu, Xudong Chen, Yanfeng Guo","doi":"10.3846/tede.2022.17273","DOIUrl":"https://doi.org/10.3846/tede.2022.17273","url":null,"abstract":"With the rise of the concept of environmental protection and the attention of all sectors of society to the ecological environment, the selection of green suppliers is a hot topic. In this paper, we develop the combinative distance-based assessment (CODAS) method in the probabilistic hesitant fuzzy sets (PHFSs) to cope with the multiple attributes group decision making (MAGDM). A standardized approach that integrates multiple methods is applied to normalize the original data. Moreover, the statistics variance (SV) method is applied under PHFSs to calculate the objective weighting vector of evaluation criteria. In the end, a case for supplier selection and the comparative analysis are used to confirm the feasibility and utility of this new approach.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"44 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85780957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose is to cut the costs of Supply Chain enterprises in Ice-Snow Tourism (IST) and improve the intelligence and automation of Supply Chain Management (SCM). First, the spatial-temporal characteristics of economic data of the IST Supply Chain are analyzed based on the Internet of Things (IoT). Second, the annual Online Public Attention (OPA) data to IST in domestic cities and regions are collected. The quarterly concentration index and Gini coefficient are used to analyze their spatial and temporal characteristics. Then, the weighted fusion algorithm used for the Supply Chain scenario modeling is improved to solve data redundancy and improve information accuracy. Finally, the framework of the IST-oriented Supply Chain scenario ontology model is proposed. The experimental results show that Internet users give much attention to IST from 2011 to 2021. OPA to IST increased first and decreased and peaked in 2016. The final fusion value of the proposed data fusion algorithm is 20.0221, and that of the adaptive Weighted Average Method (WAM) is 20.0724. Thus, the proposed algorithm outperforms the adaptive WAM. The traditional scenario-based ontology model takes people as the center. In contrast, the Supply Chain scenario-based ontology model centers around product state and scenario. Therefore, the proposed Supply Chain scenario-based ontology model is entirely new. The proposed scenariobased ontology model using polymorphic IoT lays the foundation for developing an intelligent and automatic SCM. It has great practical significance in realizing efficient tourism industry management and SCM.
{"title":"INTERNET OF THINGS-ENABLED TOURISM ECONOMIC DATA ANALYSIS AND SUPPLY CHAIN MODELING","authors":"Shuyong Wang, Zhuo Fang, Dongshuo Wu","doi":"10.3846/tede.2022.17120","DOIUrl":"https://doi.org/10.3846/tede.2022.17120","url":null,"abstract":"The purpose is to cut the costs of Supply Chain enterprises in Ice-Snow Tourism (IST) and improve the intelligence and automation of Supply Chain Management (SCM). First, the spatial-temporal characteristics of economic data of the IST Supply Chain are analyzed based on the Internet of Things (IoT). Second, the annual Online Public Attention (OPA) data to IST in domestic cities and regions are collected. The quarterly concentration index and Gini coefficient are used to analyze their spatial and temporal characteristics. Then, the weighted fusion algorithm used for the Supply Chain scenario modeling is improved to solve data redundancy and improve information accuracy. Finally, the framework of the IST-oriented Supply Chain scenario ontology model is proposed. The experimental results show that Internet users give much attention to IST from 2011 to 2021. OPA to IST increased first and decreased and peaked in 2016. The final fusion value of the proposed data fusion algorithm is 20.0221, and that of the adaptive Weighted Average Method (WAM) is 20.0724. Thus, the proposed algorithm outperforms the adaptive WAM. The traditional scenario-based ontology model takes people as the center. In contrast, the Supply Chain scenario-based ontology model centers around product state and scenario. Therefore, the proposed Supply Chain scenario-based ontology model is entirely new. The proposed scenariobased ontology model using polymorphic IoT lays the foundation for developing an intelligent and automatic SCM. It has great practical significance in realizing efficient tourism industry management and SCM.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"103 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80417227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhen Shi, Yingju Wu, Yung‐ho Chiu, Changfeng Shi, Xiaohong Na
The combination of knowledge innovation and technology innovation provides vitality for social science and technology innovation. China leaps into the front ranks of the world in the 2021 Global Innovation Index (GII). Therefore, this research takes China's theoretical-application innovation as the research object and empirically analyzes measure the innovation efficiency of knowledge innovation dominated by universities and technological innovation dominated by enterprises in China, as well as the gravity-center migration trajectory. The results show that the ranking of overall efficiency of theoretical innovation-application innovation is eastern region > central region > western region. Knowledge innovation presents a drag on overall efficiency, while technology innovation offers a contribution to overall efficiency. In the analysis of PIE (R&D personnel of industrial enterprises above a designated size) variables, the efficiency value is relatively low. The peak value of kernel density increases in the eastern, central and western regions, namely the concentration degree of theoretical innovation-application innovation efficiency in China has risen. The gravity center of each stage migrates to the eastern region, meaning the efficiency value of China’s theoretical innovation and application innovation increases more significantly in the eastern region. From the perspective of knowledge innovation and technology innovation, this paper puts forward suggestions for China and provides some references for other developing countries.
{"title":"COMPARING THE EFFICIENCY OF REGIONAL KNOWLEDGE INNOVATION AND TECHNOLOGICAL INNOVATION: A CASE STUDY OF CHINA","authors":"Zhen Shi, Yingju Wu, Yung‐ho Chiu, Changfeng Shi, Xiaohong Na","doi":"10.3846/tede.2022.17125","DOIUrl":"https://doi.org/10.3846/tede.2022.17125","url":null,"abstract":"The combination of knowledge innovation and technology innovation provides vitality for social science and technology innovation. China leaps into the front ranks of the world in the 2021 Global Innovation Index (GII). Therefore, this research takes China's theoretical-application innovation as the research object and empirically analyzes measure the innovation efficiency of knowledge innovation dominated by universities and technological innovation dominated by enterprises in China, as well as the gravity-center migration trajectory. The results show that the ranking of overall efficiency of theoretical innovation-application innovation is eastern region > central region > western region. Knowledge innovation presents a drag on overall efficiency, while technology innovation offers a contribution to overall efficiency. In the analysis of PIE (R&D personnel of industrial enterprises above a designated size) variables, the efficiency value is relatively low. The peak value of kernel density increases in the eastern, central and western regions, namely the concentration degree of theoretical innovation-application innovation efficiency in China has risen. The gravity center of each stage migrates to the eastern region, meaning the efficiency value of China’s theoretical innovation and application innovation increases more significantly in the eastern region. From the perspective of knowledge innovation and technology innovation, this paper puts forward suggestions for China and provides some references for other developing countries.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"30 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88142292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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