International Journal of Innovation and Sustainable Development (37 papers in press)

Regular Issues

• The contribution of higher vocational education to regional economic growth  
  by Mei Mei 
  Abstract: In order to deeply explore the relationship between higher vocational education and regional economy, this paper studies the contribution of higher vocational education to regional economic growth. Firstly, this paper analyses the current situation of higher vocational education and regional economy, and uses Cobb Douglas production letter to build an econometric model to calculate the contribution rate of higher vocational education to regional economic growth. Then it analyses the problems of the contribution of higher vocational education to regional economic growth, and puts forward three countermeasures: the balanced layout of higher vocational education, the formulation of professional standards suitable for regional economic development, and the establishment of vocational education parks. Experimental test shows that the contribution rate of higher vocational education to regional economic growth can reach more than 19%, and its contribution rate to regional economic growth is higher, and its contribution to regional economic growth is greater.
  Keywords: higher vocational education; regional economic growth; contribution rate; Cobb Douglas production letter.
  DOI: 10.1504/IJISD.2023.10056555
   
  
• Commercialising science-based sustainable innovations: extending the role of university-industry collaboration  
  by Mari Mehtälä, Tuula Lehtimäki, Hanna Komulainen 
  Abstract: Technological innovation for sustainability is often complex and entails high costs and uncertainties for companies. Therefore, collaboration with external partners, such as universities, is crucial. However, commercialising innovations originating from scientific research can be a long process. In addition, the radical and systemic characteristics of many sustainable innovations bring unique challenges to their commercialisation. The purpose of this study is to investigate these challenges from both university and industry perspectives and to describe the role of university-industry collaboration (UIC) in advancing the commercialisation of science-based sustainable innovation. The findings from a case study show that UIC has the potential to overcome not only technology development and optimisation challenges (where UIC typically concentrates), but also challenges that relate to market creation and wider socio-cultural changes. This requires adopting a system-building perspective and a more coordinated approach that deepens and broadens the scope of UIC to enhance commercialisation results.
  Keywords: sustainable innovation; university-industry collaboration; science commercialisation; system building; case study; eco-cement.
  DOI: 10.1504/IJISD.2023.10057505
   
  
• Policy challenges toward innovation of blockchain-based identity to achieve the no-poverty sustainable development goal target 3 in Indonesia  
  by Intan Soeparna, Novita Deviani 
  Abstract: Providing social protection through subsidies is one of the aims of sustainable development goal (SDG) 1 (no-poverty) (target 3). It needs a particular method to deliver subsidies effectively. Indonesia embraced a process to disburse energy subsidies by implementing the innovation of blockchain solutions for digital identity. This study focuses on implementing blockchain-based identity management to support the fair distribution of energy subsidies in seven Indonesian cities. The method consists of a literature review to analyse the policy challenges that might hinder the implementation of blockchain-based identity in subsidy disbursements. The findings show that although the blockchain-based identity fruitfully supports the subsidy disbursement, the lack of policy support will create a lacuna in the validity of the method to disburse the subsidy. The study is expected to guide the government and organisation in adapting the blockchain solution to its future policy that can effectively harness to contribute to achieving the SDG 1 target 3.
  Keywords: innovation; blockchain-based identity; policy; SDGs; no-poverty; subsidy disbursement method.
  DOI: 10.1504/IJISD.2023.10058311
   
  
• Beyond small ecological acts: How can digital practices activate second order learning  
  by Cédric Gossart 
  Abstract: How can associations use digital technologies to address grand challenges? This paper analyses the digital practices of French associations specialised in Environmental and Sustainable Development Education (ESDE) and the types of learning processes they activate. Based on a case study of 13 ESDE associations through semi-structured interviews, we explore the learning processes these practices activate. To identify ESDE digital practices, we use social practice theory, according to which a practice emerges when performed through the combination of three elements: Material, Competence, and Meaning. Our study identifies 131 ESDE digital practices and concludes that only 17 practices could activate second order learning, which is crucial to deep sustainability transformation. It also underlines the benefits of interdisciplinary research, in our case of using the sociological concept of social practices to analyse organisational practices tackling grand challenges.
  Keywords: digital practices; second order learning; associations; sustainability education; grand challenges; interdisciplinarity.
  DOI: 10.1504/IJISD.2023.10059017
   
  
• Drivers for eco-innovation in the agro-industrial sector: the case of olive oil  
  by Eva María Murgado-Armenteros, Manuela Vega-Zamora, Manuel Parras-Rosa 
  Abstract: Spain is the world's foremost producer of olive oil, with an annual production average of 1,374,260 tonnes. Despite the sector's paramount significance, it confronts substantial challenges, notably concerning its market orientation and sustainability practices. In light of this, eco-innovation is likely to become a key factor in enhancing the sector's competitiveness and sustainability. The objective of this paper is to analyse the degree of eco-innovation in the sector and identify the factors that contribute to its development. A CAWI survey with CATI reinforcement was conducted in olive oil mills located in the region of Andalusia, which produces most of Spain’s olive oil. The final sample consisted of 164 cases. The results indicate that companies in the sector exhibit a low degree of eco-innovation and that a significant proportion of them are primarily driven to adopt eco-innovative processes due to the pressure exerted by environmental regulations.
  Keywords: eco-innovation; olive oils; olive oil mills; drivers; survey; agro-industrial sector; sustainability; environment; innovation.
  DOI: 10.1504/IJISD.2023.10061088
   
  
• Extending the impact of ESG on firm performance: the moderation effects of ESG controversies and R&D investment  
  by Thi-Quynh Duong, Yu-Chuan Huang 
  Abstract: This research is to explore the interaction between 3 pillars: environmental, social, and governance (ESG) activities and corporate value in the Organization for Economic Co-operation and Development (OECD) countries. Furthermore, exploring two moderating effects of ESG controversies and research and development (R&D) expenditure between ESG and the performance of firms would be conducted based on stakeholder and shareholder theory. To examine the hypotheses, the researchers applied multiple regression analysis and used 2244 valid samples over the period 2018-2021. The outcomes illustrate that the actions of ESG have a negative impact on value firms. Besides, ESG controversies positively govern and R&D spending negatively moderate the correlation between ESG reports and the value of firms. This research not only systematically integrates two moderation variables into the research model, neglecting earlier studies, but also helps to enrich fundamental works of literature, reveal the context of ESG and firm performance research, and expand the boundaries.
  Keywords: ESG; environmental; social; and governance; firm performance; ESG controversies; R&D investment; OECD; Organization for Economic Co-operation and Development.
  DOI: 10.1504/IJISD.2024.10062530
   
  

Special Issue on: ARTEM OCC The Interplay Between Creativity and Sustainability Moving from Presence to Future

• The art of eco-nudging: interactive digital art as didactic agents of change in the built environment  
  by Carmela Cucuzzella, Sherif Goubran, Firdous Nizar 
  Abstract: It is impossible to ignore the damage humankind has caused to the environment. Most of the destruction, however, remains beyond individuals direct control and is caused by the prevailing modes of consumption and production. Imagery has been instrumental in communicating the environmental degradation caused by human activity, many of which have mostly relied on techno-scientific visualisations. In this paper, we are exploring eco-art as a promising public enlightenment strategy for enabling specific actions. This paper describes the outcome of an experiment focused on eco-nudging (i.e., bridging the gap between environmental awareness and action). Can interactive experiences with digital art shift participants behavioural choices toward the optimisation of their interior spaces environmental settings? If so, how? With this experiment, we highlight the significance of daily technological companionship through digital eco-art as a research field for exploring how to better inform and activate human eco-behaviour.
  Keywords: environmental art; eco-art; eco-art and design; eco-didacticism; eco-awareness; eco-action; companionship; human-building interaction; human-building interfaces; energy-actions.
  DOI: 10.1504/IJISD.2023.10055401
   
  
• Social innovation for soils  
  by Marie-Pierre Dussine 
  Abstract: Depending on their use, soils can provide many ecosystem services, such as food supply, water purification, climate regulation or biodiversity protection. Healthy soils are therefore a prerequisite for the achievement of many sustainable development goals (SDGs). Conversely, soil sealing is a real threat to living organisms as it prevents soils from producing these crucial services. While many policies seem to have failed so far to curb land take, this paper examines how they could be today complemented by the mobilisation of different stakeholders in a polycentric equilibrium able to preserve soils. This equilibrium is based on a social innovation that requires sufficient creativity to involve stakeholders who do not necessarily share the same vision of soils. This paper draws on Behavioural Economics to outline the conditions.
  Keywords: behavioural economics; creativity; polycentric equilibrium; social innovation; soil sealing; sustainable development.
  DOI: 10.1504/IJISD.2023.10057776
   
  
• A matrix to grasp the sustainable development goals  
  by Anja Herrmann-Fankhaenel, Anne Lange 
  Abstract: This paper presents a matrix to organise the content of the sustainable development goals in a structured and less complex manner. Especially for individuals and businesses, such as small and medium enterprises, which often need more substantial knowledge about sustainability, easy access to the topic is created. Besides the numerous SDG-based tools for mapping, reporting, and monitoring, for instance, business development regarding the requirements of global sustainable development, the matrix offers aid to start dealing with the topic and to create awareness. Based on a qualitative content analysis of the Agenda 2030 the SDG-Matrix was created.
  Keywords: SDGs; sustainable development goals; sustainability; qualitative content analysis; awareness; SMEs; small and medium-sized enterprises.
  DOI: 10.1504/IJISD.2023.10057872
   
  
• Antecedents and consequences of anxiety: the relevance of perceived legitimacy  
  by Alicia Blanco-González, Gabriel Cachón-Rodríguez, Francisco Díez-Martín, Giorgia Miotto 
  Abstract: Mental health is considered as a relevant issue worldwide. It has been included in the UN Sustainable Agenda and is a political priority for policy makers. The objective of this paper is to demonstrate that hygiene and safety are antecedents of anxiety, and that legitimacy and purchase intention are their consequences. We surveyed 1,200 regular supermarket shoppers. Results show that hygiene has no significance, since it is a retailing attribute that is given for grant by consumers. Safety actions reduce consumers’ anxiety and anxiety negatively influences legitimacy and purchase intention. In addition, legitimacy has a positive influence on purchase intention. This study has important academic implications since it introduces anxiety as a new variable into the agenda of business management scholars. The research highlights managerial implications such as the need to invest on safety in the retail shops and communication to reduce customers’ anxiety perception.
  Keywords: anxiety; organisational legitimacy; purchase intention; consumer behaviour; hygiene; safety; retail; change management.
  DOI: 10.1504/IJISD.2023.10058367
   
  
• Sustainability performance and employee turnover. Does industry’s technological intensity matter? A quantile regression analysis of European listed manufacturing companies  
  by Aziza Garsaa, Elisabeth Paulet 
  Abstract: The present paper aims to explore the link between the three dimensions of sustainability performance (ESG: social, environmental and governance), approximated by Standard and Poor's (S&P) ratings, and employee turnover. Furthermore, it examines the impact of the technological intensity of industries in which companies operate on this relationship. Panel data quantile regression models are estimated using a sample of 105 manufacturing firms listed in the European capital market during the period 2017-2019. With the exception of the economic dimension, the estimation results show that sustainability performance scores are negatively associated with employee turnover rate in high and medium-high technology industries. However, the opposite is found for companies operating in medium-low and low technology industries. Nevertheless, the determinants of employee turnover and the extent to which it is affected by sustainability performance scores are strongly dependent on the conditional distribution of turnover rate as well as the industry’s technological intensity.
  Keywords: sustainability performance; employee turnover; industry’s technological intensity; panel data fixed effect quantile regression.
  DOI: 10.1504/IJISD.2023.10059196
   
  

Special Issue on: Social Innovation for Enterprise Sustainable Development

• Disclosure behaviour of sovereign wealth funds in relation to environmental, social and governance and sustainable development goals  
  by Marty-Jörn Klein 
  Abstract: This paper deals with the current state of environmental, social and governance (ESG) and sustainable development goals (SDG) disclosure by 97 sovereign wealth funds (SWFs) worldwide, which together account for 99% of global total SWF assets. The aim of the paper is to give an overview of current disclosure behaviour for different types of SWFs and on a regional basis in view of the macro-economic environment. Pursuing an econometric approach, we test a series of hypotheses using various measures of the sustainable behaviour of SWFs on both the institutional and country levels. Our findings suggest that self-reported ESG and SDG data are still mostly opaque. Variations in the scope, measurement, and weight of parameters make comparisons difficult. Forty-nine percent of all SWFs do not disclose on ESG, and 73% do not disclose SDG data. Furthermore, 56% of SWFs from developed countries do not report on ESG.
  Keywords: SWFs; sovereign wealth funds; ESG; environmental; social and governance; SDG; sustainability reporting; economic development; origin of assets; One Planet SWF initiative; International Forum of SWF; Linaburg-Maduell Transparency Index; reputational risk.
  DOI: 10.1504/IJISD.2023.10056363
   
  
• Design of enterprise human resource allocation model based on radial basis function neural network  
  by Yi Wang, Lei Li 
  Abstract: In order to allocate enterprise human resources effectively and correctly, an enterprise human resources allocation model based on radial basis function (RBF) neural network is constructed. The input vector of clustering is divided by RBF neural network algorithm, the membership value of data is processed by fuzzy rules, the data category is output, and the directional connection between departments is monitored by association matrix to realise the allocation of human resources in enterprises. The experimental results show that the contribution rates of this model resource allocation planning factors is less than 85%, the mean square error results is less than 0.00914, the missed alarm rate is less than 2%, the false alarm rate is less than 1.5%. The above data prove that the model has correct and effective enterprise human resource allocation results, with good performance, high accuracy, strong anti-noise performance, high diagnostic accuracy and good practicability.
  Keywords: RBF neural network; human resources; membership function; resource allocation; fuzzy rules; incidence matrix.
  DOI: 10.1504/IJISD.2023.10056642
   
  
• Construction of the informatisation management platform for enterprise audit based on cloud computing  
  by Zhen Tian 
  Abstract: Based on the research of enterprise audit informatisation planning and construction, this paper designs an accurate classification system of enterprise audit information in the cloud computing center environment according to the operation process of enterprise audit. The Hadoop and MapReduce technologies of the cloud computing center are used to collect, store, and process information about neutral items in the audit preparation, implementation, and termination stages to implement information-based management of the entire enterprise audit process. The results show that the platform can clearly and accurately present the information of different audit stages of enterprise projects to be audited, which is convenient for enterprises to effectively analyse their own audit status and ensure the smooth implementation of enterprise audit.
  Keywords: cloud computing; enterprise audit; informatisation management; audit implementation stage; Hadoop technology; MapReduce technology.
  DOI: 10.1504/IJISD.2023.10056667
   
  
• Data analysis method of university bidding and purchasing based on improved Apriori algorithm  
  by Tianyu Feng 
  Abstract: With the increasing scale of university bidding projects and funds year by year and the development trend of Internet + bidding and procurement, the establishment of high-quality data analysis methods has become the focus of building an Internet-based University bidding and procurement management system. In view of the shortcomings of traditional data analysis methods, based on the analysis of the construction strategy of university bidding and procurement, this study designs a data analysis method of University bidding and procurement based on improved Apriori algorithm. According to the experimental results, the method has high analysis timeliness, accuracy and stability, indicating that the method effectively achieves the design expectation.
  Keywords: higher education; bidding procurement; data analysis; feature recognition; improved Apriori algorithm; the characteristics of clustering.
  DOI: 10.1504/IJISD.2023.10056668
   
  
• Innovative management model of human resources for entrepreneurial enterprises under the concept of sustainable development  
  by Guangchao Yan 
  Abstract: In 2014, the country put forward the concept of mass entrepreneurship and innovation, and introduced corresponding policies to encourage entrepreneurship. However, the development of most entrepreneurial enterprises is difficult, with an average survival time of less than 2 years. In addition to the lack of capital and technology, the management of entrepreneurial enterprises is full of loopholes, especially the lack of attention to human resource management (HRM). The research proposes a human capital evaluation system based on an improved squeeze network model to improve the efficiency and accuracy of entrepreneurial enterprises in evaluating candidates or entrepreneurs. The evaluation indicators are derived from a questionnaire survey of outstanding entrepreneurs in Dalian and related literature. The experimental results show that compared with the benchmark model, the accuracy of the evaluation of human capital by this model is increased by 20%, and the error between the evaluation of experts and experts is between 3% and 6%, which can meet the needs of use.
  Keywords: HRM; human resource management; human capital; sustainable development; improved SN model.
  DOI: 10.1504/IJISD.2023.10056669
   
  
• A colourful solution to floral waste: An approach for sustainable environment and its relation to a small business model  
  by Geeta Saini, Swati Sharma, Shraddha R. Bhat 
  Abstract: India is a place of great devotion; without flowers, devotion is never completed. Temples spend a significant amount of money daily on flowers which are eventually discarded into landfills or water bodies, severely contaminating them. The proposed paper aims to bring awareness to the issue created by temple floral waste and to offer a better solution for their usage and recycling. Composting flower debris is one of the greatest solutions to the problem caused by the dumping of flower waste. In addition to composting, numerous other things including bookmarks, colourful papers, and containers, other items have also been produced by floral waste. Through this, a significant issue of land pollution and water pollution (mostly in the rivers found in holy places like the Holy Ganges River, Uttarakhand, India) can be reduced, and it also offers employment opportunities for the disadvantaged society. It can be viewed as a typical illustration of wealth from waste, that has been recycled and used again. These goods are valuable commercially, and with the right management, they might even become a source of revenue. So, the present paper focuses on gathering, using, and transforming flower waste produced by the temple into various non-conventional items.
  Keywords: floral waste; water pollution; solid waste management; temple waste; revenue generation; employment.
  DOI: 10.1504/IJISD.2023.10057509
   
  
• Research on the sustainable development of automobile manufacturing industry and logistics industry in Anhui province based on the linkage of the two industries  
  by Yun He, Huiping Yang, Banglei Wu 
  Abstract: The positive interaction between manufacturing industry and logistics industry plays an important role in promoting sustainable economic development. In view of the lack of research on the linkage between specific manufacturing sub-industries and logistics industry, this paper chooses the automobile manufacturing as the sub-industry, and uses the grey correlation analysis method based on entropy weight to deeply analyse the level of the linkage development between the automobile manufacturing industry and the logistics industry in Anhui Province, as well as the main influencing factors. And further put forward specific countermeasures to promote the linkage development of the two industries respectively from the government level, the automobile manufacturing industry level and the logistics industry level, so as to provide ideas for the sustainable development.
  Keywords: automobile manufacturing industry; logistics industry; linkage development; entropy weight method; grey correlation analysis.
  DOI: 10.1504/IJISD.2023.10058684
   
  
• Research on the influence of innovation activities on low-carbon economy growth based on Chinese provincial panel data  
  by Yubo Cui, Guofa Zhang 
  Abstract: In the present period of economic development of China, the important questions concerning economic development that must be explored are whether innovative activities have an influence on regional low carbon economic growth and in what way this influence is achieved. From a macro perspective, this paper selected the panel data of 30 provincial-level administrative regions in China from 2003 to 2017, investigating the influence of innovation activities on the growth of regional low-carbon economy and its mechanism. The empirical results showed that innovation activities had significantly promoted the growth of regional low-carbon economy, and the intermediary effect test proved that this promotion could be achieved by promoting the progress of green technology and reducing the intensity of environmental regulation. After changing the core explanatory variables, the above conclusions are still valid, indicating that the results of this paper are robust and credible.
  Keywords: innovation activities; growth of low-carbon economy; progress of green technology; environmental regulation; economic development; China.
  DOI: 10.1504/IJISD.2023.10059664
   
  

Special Issue on: Social Innovation, Sustainable Business Model Innovation and Digital Transformation

• The hybrid online diversified teaching mode based on MOOC and SPOC  
  by Min Jiang, Boda Li 
  Abstract: In order to improve the teaching effect of the traditional teaching mode, improve the students academic performance and improve the students progress rate, the paper designs a hybrid online diversified teaching mode based on massive open online courses (MOOC) and small private online course (SPOC). Firstly, carry out the reasonable distribution of teaching content and teaching activities, and realise the principle design of mixed online diversified teaching mode. Secondly, the design of mixed online diversified teaching mode is completed from the four parts of course teaching objectives, teaching content, teaching environment and teaching resources. Finally, Markov chain algorithm is used to evaluate the teaching effect under the diversified teaching mode. The results show that the teaching mode designed in this paper can effectively improve the students progress rate. The total score of students can be improved by 58 points, and the maximum utilisation rate of teaching resources can be 100%.
  Keywords: diversified teaching; distribution principle; course teaching objectives; content of courses; Markov chain algorithm.
  DOI: 10.1504/IJISD.2023.10057779
   
  
• Research on adaptive recommendation of network learning resources for personalised mobile learning platform  
  by Xiujing Ju 
  Abstract: In order to overcome the problems of long recommendation time and low recommendation accuracy in traditional learning resource recommendation methods, this paper proposes a new adaptive recommendation method for online learning resources of personalised mobile learning platform. Firstly, analyse the structure of personalised mobile learning platform and the process of mobile learning. Secondly, calculate the value of learners preference attribute for online learning resources, and conduct classification mining of personalised data. Finally, according to the prediction score, the similarity between learners cognitive ability and the difficulty of learning resources, and the similarity between learners scenarios and the types of online learning resources, the adaptive recommendation degree is calculated, and Top-N is selected from the recommendation results to recommend to learners. The experimental results show that the proposed method can shorten the adaptive recommendation accuracy and reduce the recommendation time, and the recommendation accuracy is always about 96%.
  Keywords: personalised mobile learning platform; E-learning resources; adaptive recommendation; personalised data; learners cognitive ability; long recommendation time.
  DOI: 10.1504/IJISD.2023.10057780
   
  
• An evaluation method of teaching reform effect based on grey relational degree  
  by Jianlei Zhang 
  Abstract: Aiming at the effect of teaching reform, the traditional evaluation method has some problems, such as low recall rate of index data, high proportion of noise data, and low accuracy of evaluation. The evaluation method based on grey correlation degree is proposed. First, set up the evaluation index system to obtain the evaluation indexes, and then preprocess the obtained indexes. Then, use the fuzzy IOSDATA clustering algorithm to cluster the pretreated indexes. Finally, according to the clustering results, determine the index weight based on the entropy weight method. According to the index weight, calculate the grey correlation degree, and sort the grey correlation degree according to the size, and combine it with the evaluation model to obtain the final evaluation value. The experimental results show that the index data recall rate of this method is high, the proportion of noise data is low, and the evaluation effect is good.
  Keywords: grey correlation degree; reform in education; effect evaluation; fuzzy IOSDATA clustering algorithm; rejection of abnormal points; grey correlation coefficient.
  DOI: 10.1504/IJISD.2023.10057781
   
  
• Study on evaluation method of innovative practical education quality in colleges and universities based on entropy weight method and grey correlation degree method  
  by Xiaoping Feng 
  Abstract: Aiming at the quality of innovative practice education, the current evaluation method has the problems of poor evaluation effect and low evaluation efficiency. This paper proposes a new evaluation method by combining entropy weight method and grey correlation method. First, build an evaluation index system to obtain indicators, and then calculate the weight of each indicator through entropy weight method. Finally, use the grey correlation method to obtain the correlation degree of each indicator, sort the indicators according to the size of the correlation degree, build an evaluation model, input the evaluation index data into the evaluation model, and get the score. The simulation results show that the proposed method has high evaluation accuracy and short evaluation time.
  Keywords: entropy weight method; grey correlation degree method; college innovation practice; education quality evaluation; index weight.
  DOI: 10.1504/IJISD.2023.10058005
   
  
• Analysis of market digital transformation direction under modern information technology  
  by Min Li, Liyang Sun 
  Abstract: In order to improve the digital level of the market and the success rate of digital transformation, this paper proposes a new analysis method of market digital transformation direction under modern information technology. Firstly, analyse the characteristics of market digital transformation, and build a market data center with the support of modern information technology. Secondly, the minimum spanning tree method in modern information technology is used to mine market operation data. Finally, based on the five market digital transformation directions, the market digital transformation directions are ranked by using the prospect theory. The direction that ranks first is the direction of market digital transformation. The experimental results show that the proposed digital turn direction analysis method can improve the digital level of the market and the success rate of market digital transformation, with the highest transformation success rate of 98.7%.
  Keywords: modern information technology; digital transformation of the market; transformation direction; minimum spanning tree; prospect theory.
  DOI: 10.1504/IJISD.2023.10058006
   
  
• Evaluation method of economic benefits of intercity railway based on Choquet integral method  
  by Yanan Liu, Chenyou Li, Zhinan Li 
  Abstract: In order to solve the problems of low fitting and poor sensitivity of traditional methods, an evaluation method based on Choquet integral method is proposed for the economic benefits of intercity railway. Firstly, based on the frequency analysis results and expert scoring results, reliable indicators are selected from the pre-selection set of indicators, and then the advantages and disadvantages of each object to be evaluated are ranked according to the close value of the indicators. Then, the quadratic programming method is used to construct the objective function, the heuristic least squares method is used to determine the fuzzy measure of Choquet integral, and the final evaluation result is obtained after summarising the measure values of different nodes. Experiment shows that the evaluation sensitivity of this method can reach 0.98, and the maximum fitting degree of the evaluation results can reach 0.982, which indicates that this method achieves the design expectation.
  Keywords: Choquet integration method; fuzzy measure; heuristic least square method; closeness value; quadratic programming method.
  DOI: 10.1504/IJISD.2023.10058007
   
  
• The mixed teaching reform and empirical analysis of MOOC localisation curriculum  
  by Yu Cao, Hui-sheng Zhu, Chao Li 
  Abstract: In order to solve the problems of low interest in learning and unsatisfactory improvement of learning results in traditional methods, the mixed teaching reform and empirical analysis of MOOC localisation curriculum is proposed. Firstly, SPSS statistical software is used to conduct exploratory factor analysis on the data, and alpha coefficient is used to analyse the credibility of each dimension of teaching reform. Then, take the three dimensions of peer relationship, teacher-student relationship and classroom involvement as independent variables, and the total score of learning gains as dependent variables to establish a regression model. Finally, fuzzy comprehensive evaluation is used to evaluate the effect of teaching reform, and a targeted teaching reform strategy is given. The experimental results show that after using this method, students interest in learning can be improved by 0.57, and the score can be improved by about 142 points, the practical application effect is good.
  Keywords: SPSS statistical software; MOOC localisation; factor load value; alpha coefficient; multiple linear regression analysis.
  DOI: 10.1504/IJISD.2023.10058008
   
  
• Evaluation method of online and offline interaction effect of university education in the perspective of MOOC  
  by Song Bai 
  Abstract: : The conventional evaluation process of online and offline interaction effects is not ideal in terms of evaluation accuracy. Aiming at this problem, a new evaluation method of interaction effects is designed from the perspective of MOOC. Firstly, an initial indicator system is established with the constraints of systematicness, standardisation, rationality and quantifiability of indicators. Then, standardise the indicators, and introduce the principal component analysis method to optimise the indicator system, to improve the evaluation accuracy by improving the rationality of the indicator system. Finally, based on the perfect indicators, an evaluation model including four points is constructed to achieve efficient evaluation. Through experiments, it is found that this method can improve the accuracy of the obtained results to more than 0.97, which can improve the students scores to more than 92 points, indicating that this method is feasible and effective.
  Keywords: higher education; online and offline interaction; interaction effect; principal component analysis.
  DOI: 10.1504/IJISD.2023.10058009
   
  
• Evaluation method of college students innovation and entrepreneurship ability based on priority level entropy  
  by Shu Zhang 
  Abstract: In order to overcome the problems of low accuracy, poor accuracy, and high time consumption in traditional entrepreneurial ability evaluation methods, a priority hierarchical entropy based evaluation method for college students' innovation and entrepreneurship ability was proposed. Firstly, construct an evaluation index system. Secondly, calculate the weight of the entrepreneurial ability level indicator. Then, the priority hierarchical entropy method is used to process the data and prioritise the evaluation indicators. Finally, the hierarchical entropy method is used to calculate the posterior probability of entrepreneurial success difficulty, so as to realise the evaluation of innovation and entrepreneurship ability. The results show that the accuracy of this method can reach 0.96, the accuracy can reach 98%, and the time consumption is only 13.5 s, indicating that this method can improve the evaluation effect of entrepreneurial ability.
  Keywords: priority level entropy; square root method; prioritisation; expert evaluation method; posterior probability.
  DOI: 10.1504/IJISD.2023.10058078
   
  
• Risk assessment method of e-commerce transaction based on fuzzy support vector machine  
  by Zheng Xu, Hengzhi Nie 
  Abstract: To improve the recall and accuracy of the evaluation index data and reduce the calculation error rate of the evaluation index, a fuzzy support vector machine based e-commerce transaction risk evaluation method is proposed. Build the evaluation index system, and cluster the evaluation index data using the nearest neighbour propagation clustering algorithm. The CRITIC algorithm is improved by using discrimination vector and conflict vector, and the index weight calculation result is obtained by using the improved CRITIC algorithm. The risk assessment model is built by combining the index weight calculation results and fuzzy support vector machine to obtain the assessment results. The experimental results show that the average recall rate of the index data of this method is 96.8%, the calculation error rate of the evaluation index is small, and the maximum accuracy rate is 99%, which shows that the practical application effect of this method is good.
  Keywords: fuzzy support vector machine; electronic commerce; transaction risk assessment; nearest neighbour propagation clustering algorithm; CRITIC algorithm.
  DOI: 10.1504/IJISD.2023.10059197
   
  

Special Issue on: Sustainability in Innovation Performance and Business Performance

• Online mobile learning resource recommendation method based on deep reinforcement learning  
  by Pingyang Li, Juan Zhang 
  Abstract: In order to improve the recommendation effect of learning resources, this paper designs an online mobile learning resource recommendation method based on deep reinforcement learning. Firstly, the similarity between learners and learners, the similarity between learning resources and learning resources, and the similarity between learners' search preference results and learning resources are calculated. Secondly, based on the results of similarity calculation, a multi-agent deep reinforcement learning network is designed, which includes a recommendation agent and a classification agent. Finally, according to the learners' interest preferences (states) of different learning resources, the online mobile learning resources (execution actions) are recommended to the learners, and the final recommendation scheme is obtained through the recommendation agent. According to the experimental results, the maximum recommendation result hit rate of this method is 95.5%, and the highest average ranking degree is 0.926, indicating that the recommendation effect of this method is better.
  Keywords: online mobile learning; learning resource; similarity; recommendation agent; classification agent; recommended scheme.
  DOI: 10.1504/IJISD.2023.10056670
   
  
• Research on evaluation of hybrid teaching reform based on hidden Markov  
  by Yu Cao, Hui-sheng Zhu 
  Abstract: In order to improve the accuracy of the mixed teaching reform evaluation results, a hybrid teaching reform evaluation method based on Hidden Markov is proposed. The information is collected from the PTA aided teaching platform, and the data of the mixed teaching reform is fused and preprocessed using support vector machine; Based on the principles of measurability and feasibility, the evaluation index system of mixed teaching reform is constructed; The hidden Markov theory is used to evaluate the effect of the mixed teaching reform. The experimental results show that the Cronbach coefficient α of the reliability and validity of the evaluation indexes selected in this paper is higher than 0.8, and the evaluation accuracy of the teaching reform evaluation method is as high as 97.6%, which shows that the research effect is remarkable.
  Keywords: hidden markov; hybrid teaching; reform evaluation; cross entropy; evaluation grade; index system.
  DOI: 10.1504/IJISD.2023.10056681
   
  
• Evaluation method of service quality of college students' innovation and entrepreneurship education based on AHP-DEA method  
  by Qingqin Chen 
  Abstract: In order to overcome the problems of time-consuming and low accuracy of quality evaluation methods, this paper proposes a service quality evaluation method of college students' innovation and entrepreneurship education based on Analytic Hierarchy Process-Data Envelopment AnAlysis (AHP-DEA). Firstly, the evaluation system of education service quality is constructed, and the service quality evaluation data is collected by using multi-thread new application programming interface (NAPI). Secondly, meaningless evaluation data is removed by time constraint. Then, the judgement matrix is constructed, the quality evaluation function is constructed with data envelopment analysis (DEA) method, the total ranking weight is calculated, and the evaluation value is solved by linear weighting method to realise the service quality evaluation. Experimental results show that the average time of this method is 52.8 ms, the weight calculation error rate is 2.2%, the average evaluation accuracy rate is 96.4%, and the practical application effect is good.
  Keywords: AHP-DEA; college students; innovation and entrepreneurship education; service quality evaluation; multi-threaded NAPI.
  DOI: 10.1504/IJISD.2023.10056671
   
  
• The comprehensive evaluation of innovative education quality from the perspective of balanced and stable development  
  by Xiaoping Feng 
  Abstract: In order to overcome the problems of long data collection time, high error rate of index weight calculation and low accuracy of traditional evaluation methods, a comprehensive evaluation method of innovative education quality from the perspective of balanced and stable development is proposed. Firstly, the comprehensive evaluation index of innovative education quality under the background of balanced and stable development is preliminarily determined. The K-means clustering algorithm is used to collect education data, and the data are fused and reduced. Then, the comprehensive evaluation system of innovative education quality is established. Finally, the weight of evaluation index is calculated by AHP, and the comprehensive evaluation of education quality is realised by three-level fuzzy comprehensive evaluation model. The experimental results show that the average data acquisition time of this method is 0.63 s, the maximum error rate of evaluation index weight calculation is 2%, and the evaluation accuracy is above 94%.
  Keywords: balanced and stable development; innovative education; comprehensive quality evaluation; K-means clustering algorithm; reduction processing; three-level fuzzy comprehensive evaluation.
  DOI: 10.1504/IJISD.2023.10056677
   
  
• Modular construction of teaching mode of innovative talents training under the background of integration of industry and education  
  by Xiaojing Bai, Shijuan Shen, Qingqing Shi 
  Abstract: In order to improve the teaching effect of innovative talents training, a modular innovative talents training teaching mode is constructed under the background of integration of production and education. First, analyse the problems existing in the modular teaching mode, and then analyse the causes of the problems. Second, determine the necessity of the integration of modular production and teaching. Finally, explain the connotation of the categorical teaching modular relationship, analyse the main factors of talent cultivation by using the analytical method, and construct a modular teaching mode by combining consistency and coverage indicators. The case analysis shows that the consistency of conditional variables does not reach 0.9, which indicates that variables are not necessary for high performance. After the application of this model, students' scores have been improved by more than 10 points, and the proportion of difference in scores has reached 0.14, which verifies that this model has a higher teaching effect.
  Keywords: consistency; coverage; integration of industry and education; cultivation of innovative talents; necessity analysis; modularisation of teaching mode.
  DOI: 10.1504/IJISD.2023.10056683
   
  
• Evaluation method of innovation and entrepreneurship education quality in colleges and universities based on entropy weight method  
  by Xiaoying Bai, Yulong Wan 
  Abstract: To overcome the problems of poor accuracy and long-time evaluation of innovation and entrepreneurship. This paper puts forward the quality evaluation method of innovation and entrepreneurship education in Colleges and Universities Based on entropy weight method. First, the index system of innovation and entrepreneurship is designed. Secondly, 12 innovation and entrepreneurship data such as the number of enterprise teachers and the number of entrepreneurship are obtained according to the index system; Then, the judgement matrix is constructed, the weight value is calculated by the difference, the initial weight is corrected by the correction coefficient obtained by the entropy weight method, and the comprehensive evaluation score is calculated to realise the quality evaluation of innovation and entrepreneurship. The experimental results show that the accuracy of this method is up to 99.9%, and the evaluation time is less than 6S, which can improve the evaluation effect of innovation and entrepreneurship.
  Keywords: correlation function; entropy weight method; weight coefficient; judgement matrix; matter element method.
  DOI: 10.1504/IJISD.2023.10056678
   
  
• Risk warning method for the whole process of production project based on multi-source data mining  
  by Ya Zhou, Mingjie Zhang, Shaohuan Cheng, Xinli Luo, Jiefeng Wen, Jinlei Hu 
  Abstract: Aiming at the problem that the correlation coefficient between the final screening early warning indicators is small in the whole process of risk index screening of production projects, a risk early warning method for the whole process of production projects based on multi-source data mining is proposed. The multi-source data mining technology is used to extract the potential hidden characteristics of risk indicators in the whole process of production projects, and the hidden characteristic relationship between multi-risk indicators is obtained, and the risk management index system of the whole process of production projects is established. Risk warning of the whole process of production projects. The test results show that the proposed risk early warning method has a larger cross-correlation coefficient calculated in each index group, which verifies that the early warning method has high application reliability, can obtain more accurate data, and improve the early warning accuracy.
  Keywords: multi-source data mining; production project; whole process risk; risk early warning; K-means cluster analysis algorithm; index correlation characteristics.
  DOI: 10.1504/IJISD.2025.10067825
   
  
• Study on the influence of rational exploitation of marine resources on regional economy  
  by Xiaochen Wang 
  Abstract: In this paper, a modelling method for the influence of rational exploitation of marine resources on regional economy is proposed. Designed a reasonable marine resource development and regional economic data collection architecture, and collected relevant data through the detection and update of bad block information, data reading and writing, data erasure, etc. The minimum two parameter identification method is used to calculate the model parameters, and the impact model of rationalised marine resources development on regional economy is built according to the parameter identification results, and the relevant impact analysis results are obtained. The experimental results show that the average recall rate and precision rate of this method are 96.1% and 96.1%, respectively, the impact score is the closest to the actual value.
  Keywords: rationalisation; marine resources development; regional economy; data reading and writing; data erasure.
  DOI: 10.1504/IJISD.2023.10056786