Journal of Open Innovation: Technology, Market, and Complexity最新文献

{"title":"Open innovation in the tourism field: A systematic literature review","authors":"Rafaela Correia Cardoso ,&nbsp;Ana Paula Lisboa Sohn ,&nbsp;Marcos Ferasso ,&nbsp;Sinval Pereira Júnior","doi":"10.1016/j.joitmc.2024.100359","DOIUrl":"10.1016/j.joitmc.2024.100359","url":null,"abstract":"<div><p>Open innovation shapes how organizations innovate and compete, particularly in the dynamic tourism sector. Despite its potential, the theoretical framework for open innovation in tourism is still developing, and there is a need for further understanding of its applications in the tourism sector. This research aims to define the dimensions of open innovation in tourism to understand how these practices can be tailored to meet the sector's unique challenges. Through a systematic literature review of 17 articles from Scopus and Web of Science databases (2016–2023), the study confirms the critical role of open innovation in enhancing tourism competitiveness by enabling adaptation to market changes. Key findings include the importance of collaboration and co-creation among tourism industry stakeholders, which is crucial due to the sector's constant evolution driven by consumer preferences, technological advancements, and competition. Thirteen of the reviewed studies emphasize this aspect, while others highlight the role of digital technologies in modernizing and improving tourism processes, thereby creating innovative services for digitally connected consumers. Additionally, fostering an innovation culture and sustainability is essential for integrating innovative practices that consider future environmental and societal impacts. The research identifies four dimensions of open innovation crucial for tourism: digital technologies, collaboration and co-creation, innovation culture, and sustainability. These dimensions help guide strategies for developing competitive and memorable tourist experiences. The study underscores the complexity and relevance of open innovation as a strategy for tourism development, with the identified themes paving the way for innovation and sustainable success in the sector.</p></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2199853124001537/pdfft?md5=377b3e852f52d732026ba70d3447ec03&pid=1-s2.0-S2199853124001537-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141997431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmentally sustainable apparel merchandising of recycled cotton-polyester blended garments: Analysis of consumer preferences and purchasing behaviors","authors":"Arnob Dhar Pranta ,&nbsp;Md. Tareque Rahaman ,&nbsp;Md. Reazuddin Repon ,&nbsp;Abdullah Al Rakib Shikder","doi":"10.1016/j.joitmc.2024.100357","DOIUrl":"10.1016/j.joitmc.2024.100357","url":null,"abstract":"<div><p>This research work examines how consumer behavior and purchasing pattern are affected by recycled cotton-polyester blended clothing, with a particular emphasis on sustainable apparel merchandising. The use of recycled materials has drawn a lot of attention as environmental sustainability in the fashion business is growing attention. In order to investigate customer behavior, perceptions, preferences and purchasing decisions regarding recycled cotton-polyester blended clothing.This research employed a mixed-methods design that included both qualitative and quantitative methods. For a deeper understanding of the customer attitudes, opinions and motives towards sustainable fashion recycled materials in particular, this phase qualitatively involves a one-on-one interview and focus group discussions based on age, gender social class as well as the level of education. In addition, the study considers aspects such as longevity in use, wear resistance, quality, ease of use and clothing comfort that influence buying decisions. Using data from the qualitative phase as a foundation, the quantitative phase uses surveys given to a broad consumer sample to measure consumer preferences and purchasing pattern for recycled cotton-polyester clothing. This research aims at identifying the key factors that impact the preference of customers and buying behavior for recycled cotton and polyester blends based apparel. Additionally, it aims to assess how well sustainable clothing merchandising techniques work to promote these goods. This study indicates that individuals aged 25–45 from higher social strata and with higher educational attainment exhibit greater awareness and preference for recycled apparel with more than 60 % demonstrating a marked inclination towards these products.</p></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2199853124001513/pdfft?md5=cbce4a43f7c4e4b25679b9ed081fea8a&pid=1-s2.0-S2199853124001513-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141952823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding critical barriers to the adoption of blockchain technology in the logistics context: An interpretive structural modelling approach","authors":"Maneerat Tangsakul,&nbsp;Panitas Sureeyatanapas","doi":"10.1016/j.joitmc.2024.100355","DOIUrl":"10.1016/j.joitmc.2024.100355","url":null,"abstract":"<div><p>Blockchain technology has promising benefits and provides robust solutions for managing business processes. While prior studies have primarily explored its potential in supporting logistics and supply chain management, many practitioners still lack a clear understanding of how to leverage blockchain technology, hindering its adoption within the industry. Bridging this gap and addressing critical barriers requires further empirical research. This study adopts a comprehensive approach, identifying potential barriers through a literature review and validating their significance through the Index of Item-Objective Congruence (IOC). The study then delves into the interrelationships among the significant barriers, utilising Interpretive Structural Modelling (ISM) and MICMAC methods. The results highlight seven significant barriers within the logistics sector, encompassing a lack of government support, operational standards, top management support, limited public awareness, trust issues, technical challenges, and network collaboration difficulties. Notably, the lack of public awareness and inadequate governmental support form fundamental obstacles that drive various challenges. This research offers insights into the barriers that hinder the successful adoption of blockchain technology in logistics, proposing several mitigation strategies that are in line with the principles of open innovation.</p></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2199853124001495/pdfft?md5=8378831653ab09d4eb11686453af4492&pid=1-s2.0-S2199853124001495-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141951205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the influence of digital strategy on the interplay between quality certification and sales performance using data science and machine learning algorithms","authors":"Ibrahim Niankara","doi":"10.1016/j.joitmc.2024.100354","DOIUrl":"10.1016/j.joitmc.2024.100354","url":null,"abstract":"<div><p>In the context of international trade with information asymmetries, business certifications can serve as signals of product quality and reliability for customers and stakeholders. Recognizing this, the current study unbraces “signalling theory” to explore the impact of digital transformation strategy (DTS) on firm’s international quality certification status and sales performance in the global economy. To this end, treating quality certification endogenously, the study relies on bivariate copula regression modeling of 121429 firms’ responses data extracted from the World Bank’s Enterprise Surveys. Consistent with the hypothesized theoretical predictions, the findings revealed that DTS, in the form of website ownership, has a significantly positive impact on sales performance due to increasing firm’s reach, visibility, engagement, conversion, and retention of customers across different channels and touchpoints. As theoretically conjectured, quality certification is also found to positively impact sales performance by enhancing the firm’s reputation, trustworthiness, and attractiveness in the global marketplace. Most importantly, the study found empirical evidence that DTS significantly moderates the relationship between quality certification and sales performance, such that quality certification has a stronger effect on sales performance for firms with a well-defined DTS (web=1) than those without (web=0); leading therefore to the conclusion that DTS can amplify the signal of quality certification by making it more visible, transparent, and consistent across different digital channels and touchpoints. Hence, the study provides valuable empirical and theoretical insights that inform current business practices, future research, and potential policy measures to support business growth, and enhanced competitiveness in the global market place.</p></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2199853124001483/pdfft?md5=2edaaecae4952a291ed96724cecebf02&pid=1-s2.0-S2199853124001483-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141964622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling brand loyalty in emerging markets: Analyzing smartphone user preferences: Robustness of structural equation modeling (SEM) and simultaneous equation modeling (SEMs)","authors":"Abdullah Al Masud ,&nbsp;Selim Ahmed ,&nbsp;Mohammad Tanvir Kaisar ,&nbsp;Belal Hossain ,&nbsp;Mst Shimu ,&nbsp;Mohammad Fakhrul Islam","doi":"10.1016/j.joitmc.2024.100353","DOIUrl":"10.1016/j.joitmc.2024.100353","url":null,"abstract":"<div><p>This study aims to examine the determinants of brand loyalty in emerging markets, focusing on smartphone consumers in Bangladesh. The study focuses on identifying the key elements that contribute to brand loyalty and the extent of their impact on customers' commitment to their preferred smartphone manufacturers. A theoretical framework will be employed to establish the relationship between the independent and dependent variables. Data for the study was collected from 390 participants through a Google form explicitly designed for this purpose. In this study Simultaneous Regression Analysis has been used to synchronize the findings of the Structural Equation Models (SEM) and also is used to emphasize the robustness of the study. The data analysis used PSS to calculate the mean and standard deviation. Structural Equation Modeling (SEM), reliability, and convergent validity were accomplished using Amos. The findings indicate that consumer attitudes, service quality, public self-consciousness, and behavioural brand experience all significantly influence brand loyalty. Furthermore, brand trust plays a crucial and favourable mediating role between consumer perceptions, brand loyalty, and service excellence. The model suggested in this study has a big effect, and Bangladesh policymakers should consider this model when planning new factors affecting brand loyalty. The results of this research can be valuable for Bangladeshi smartphone companies as they gain insights into the factors affecting brand loyalty among consumers. The study discusses the limitations of its generalizability and provides practical implications for businesses and their market offerings.</p></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2199853124001471/pdfft?md5=8513556c50c50ab80fb09b052db14fd4&pid=1-s2.0-S2199853124001471-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142040105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"\"To buy or not to buy\" the intention to purchase visual arts in the UAE","authors":"Noor Nidal ,&nbsp;Mohamed Albaity","doi":"10.1016/j.joitmc.2024.100350","DOIUrl":"10.1016/j.joitmc.2024.100350","url":null,"abstract":"<div><p>The present study investigated the impact of trust, perceived value, emotional value, attitude, and relationship proneness on the purchase intention towards visual arts and the mediating effect of trust between relationship proneness and purchase intention in the UAE. Three hundred questionnaires were distributed, 271 were used, and a structural equation modeling technique was used to run direct and mediation models to test the proposed hypotheses. The results showed that trust, perceived value, emotional value, and attitude significantly influenced purchase intentions. The findings also showed that trust significantly mediated the link between relationship proneness and the purchase intention of visual arts. The present paper has provided empirical evidence on the interrelationships between relationship proneness and trust.</p></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2199853124001446/pdfft?md5=3dd1e38f40d7af16b4ba6c720def2471&pid=1-s2.0-S2199853124001446-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141951206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge management and higher education institute: Review & topic analysis","authors":"Piyush Vyas","doi":"10.1016/j.joitmc.2024.100349","DOIUrl":"10.1016/j.joitmc.2024.100349","url":null,"abstract":"<div><p>Analyzing the effects of knowledge management in higher education is challenging because of various aspects of tasks such as teaching effectiveness, administrative services, and research communications. Employees' job performance is crucial in higher education institutions in order to disseminate innovations, knowledge, and collaboration. Thus, studying the relationship between knowledge management practices and job performance is essential. Therefore, this literature review and topic analysis aims to provide a concept-driven approach for synthesizing and analyzing numerous available literature bases. Collected journal articles and conference papers were scrutinized based on this research work's above-mentioned aim. Finally, 41 relevant papers have been studied in this work. The presented work advances the understanding of the role of knowledge management processes in higher education institutions in increasing job performance. Findings suggest that individual, national, and professional teams, language issues, and trust can impact knowledge-sharing practices and job performance of higher education institutes' employees.</p></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2199853124001434/pdfft?md5=f106a16c8c7292afeb7561799932cc0f&pid=1-s2.0-S2199853124001434-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141951238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance analysis of a blockchain process modeling: Application of distributed ledger technology in trading, clearing and settlement processes","authors":"Sonia Abdennadher ,&nbsp;Walid Cheffi ,&nbsp;Anang Hudaya Muhamad Amin ,&nbsp;Munir Naveed","doi":"10.1016/j.joitmc.2024.100348","DOIUrl":"10.1016/j.joitmc.2024.100348","url":null,"abstract":"<div><p>This study aims to assess the extent to which blockchain technology (BCT) may constitute an alternative to the conventional stock trading system and emphasize the changing roles of the key parties. It is expected that BCT would enhance the performance of the process across the three stages (i.e. trading, clearing and settlement within the stock exchange environment). A thorough literature review is conducted to understand the BCT performance modeling techniques and approaches (empirical and analytical) and to examine the theoretical potentials and capabilities of BCT in the financial markets. The case study and simulation methods are used to evaluate the impact of BCT implementation in optimizing the process of trading, clearing and settlement in Abu Dhabi Securities Exchange (ADX) stock-trading activities. This paper presents a simulation analysis comparing a blockchain system with a traditional trading system in the context of stock market. The simulation procedures involve modeling processes over different durations and transaction volumes, using metrics such as process time and cycle time to evaluate performance. The performance index combines these metrics with weights to ensure accurate and consistent measurements. Simulation results reveal that the blockchain system significantly outperforms the current trading system, especially at higher transaction volumes, highlighting its scalability and efficiency. A threshold of 30,000 transactions is identified as the point where blockchain’s benefits become apparent. The analysis shows that blockchain significantly elevate the process efficiency. It reduces both cycle time and process time across varying transaction volumes, maintaining consistency and reliability. Additionally, a simple simulation using the Hyperledger Fabric platform demonstrates the practical implementation of a permissioned blockchain for clearing transactions, emphasizing the system's capability to manage high transaction volumes efficiently and securely. The use of blockchain network for handling seamless transactions using pre-defined smart contracts significantly improves the performance of the stock trading processes, specifically in the clearing phase. Interestingly, the BCT system drops the need for a “third party” (i.e. stock custodian) across the three stages. At the end of the paper, we propose a thereat mitigating model for stock trading with a new blockchain system.</p></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2199853124001422/pdfft?md5=6f85caa43cc5988b0a3af8838f16f196&pid=1-s2.0-S2199853124001422-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141846094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing financial distress prediction through integrated Chinese Whisper clustering and federated learning","authors":"Amel Ibrahim Al Ali ,&nbsp;Sheeja Rani S ,&nbsp;Ahmed M. Khedr","doi":"10.1016/j.joitmc.2024.100344","DOIUrl":"10.1016/j.joitmc.2024.100344","url":null,"abstract":"<div><p>Financial distress occurs when individuals or companies struggle to meet financial obligations, often due to factors like high fixed costs, illiquidity, or revenue sensitivity to economic downturns. While various machine learning and deep learning approaches have been developed for predicting financial distress by analyzing financial data to assess the likelihood of a company facing financial difficulties, challenges persist in achieving enhanced prediction accuracy and managing time complexity. To address this, a novel method known as the Chinese Whisper Clustered Stochastic Gradient Descent Federated Learning method (CWCSGDFL) is introduced. It aims to improve the efficiency of financial distress prediction by grouping data samples using the Hamann Similarity Indexed Chinese Whispers clustering process, validating them with a matching coefficient, and addressing data imbalance. Also, Kaiser-Meyer-Olkin correlative targeted projection model is employed to choose the pertinent features for prediction. By achieving balanced clustering results with these selected features, CWCSGDFL reduces time complexity in financial distress prediction. Stochastic Gradient Gaussian Kernel Federated Learning approach is employed to preserve privacy while predicting distress, aided by kriging regression for model analysis. Stochastic gradient descent momentum optimizes the global objective function, ensuring accurate classification with minimal loss. Experimental results demonstrate that CWCSGDFL achieves an average accuracy of 96%, precision of 94%, recall of 98%, F-measure of 98%, and a time complexity of 36 ms, outperforming the existing techniques.</p></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2199853124001380/pdfft?md5=0194b352c015a48c448ffb4c00c55d22&pid=1-s2.0-S2199853124001380-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141842134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revolutionizing waste management: Harnessing citizen-driven innovators through open innovation to enhance the 5Rs of circular economy","authors":"Chanchai Phonthanukitithaworn ,&nbsp;Wutthiya Aekthanate Srisathan ,&nbsp;Phaninee Naruetharadhol","doi":"10.1016/j.joitmc.2024.100342","DOIUrl":"10.1016/j.joitmc.2024.100342","url":null,"abstract":"<div><p>This study investigates how citizens with characteristics aligned with the circular economy utilize internal and external knowledge networks to enhance their practices in the 5Rs—Repair, Reduce, Recycle, Reuse, and Rot—within emerging markets, specifically in Thailand. These 5R principles are essential for reducing waste and extending resource lifecycles, which are critical elements of sustainable environmental management. By integrating individual knowledge sources with external networks, this article identifies effective strategies for advancing awareness and engagement in waste management. The survey-based analysis reveals that Thai citizens predominantly rely on prior experience and peer advice to navigate waste management challenges. Importantly, researchers quantify the impact of such practices, showing that substantial experience with the 5Rs significantly correlates with improved waste management capabilities (β = 0.519, R² = 0.498, MSE = 0.446). This demonstrates that experience accounts for nearly half of the variance in waste management capability. However, the diversity of external knowledge sources alone, without deep technical competence and practical application, does not markedly enhance waste management outcomes. These findings emphasize the need for strategies that prioritize practical experience and skill development in waste management, suggesting that enhancing individual and collective experience with the 5Rs can significantly contribute to achieving sustainability goals. The results advocate for the scalability of the 5Rs across different community settings, offering a framework for other emerging markets striving to integrate circular economy principles into everyday practices.</p></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2199853124001367/pdfft?md5=5c8b3a67c0cff5dc6cee1824ce379eec&pid=1-s2.0-S2199853124001367-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141960862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}