Pub Date : 2021-07-01DOI: 10.4018/IJSKD.2021070101
E. Ramanujam, S. Padmavathi
Innovations and applicability of time series data mining techniques have significantly increased the researchers' interest in the problem of time series classification. Several algorithms have been proposed for this purpose categorized under shapelet, interval, motif, and whole series-based techniques. Among this, the bag-of-words technique, an extensive application of the text mining approach, performs well due to its simplicity and effectiveness. To extend the efficiency of the bag-of-words technique, this paper proposes a discriminate supervised weighted scheme to identify the characteristic and representative pattern of a class for efficient classification. This paper uses a modified weighted matrix that discriminates the representative and non-representative pattern which enables the interpretability in classification. Experimentation has been carried out to compare the performance of the proposed technique with state-of-the-art techniques in terms of accuracy and statistical significance.
{"title":"Discriminate Supervised Weighted Scheme for the Classification of Time Series Signals","authors":"E. Ramanujam, S. Padmavathi","doi":"10.4018/IJSKD.2021070101","DOIUrl":"https://doi.org/10.4018/IJSKD.2021070101","url":null,"abstract":"Innovations and applicability of time series data mining techniques have significantly increased the researchers' interest in the problem of time series classification. Several algorithms have been proposed for this purpose categorized under shapelet, interval, motif, and whole series-based techniques. Among this, the bag-of-words technique, an extensive application of the text mining approach, performs well due to its simplicity and effectiveness. To extend the efficiency of the bag-of-words technique, this paper proposes a discriminate supervised weighted scheme to identify the characteristic and representative pattern of a class for efficient classification. This paper uses a modified weighted matrix that discriminates the representative and non-representative pattern which enables the interpretability in classification. Experimentation has been carried out to compare the performance of the proposed technique with state-of-the-art techniques in terms of accuracy and statistical significance.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"209 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76908265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.4018/IJSKD.2021040106
Roy Jucip Tabañag Basar, H. R. Borden, M. L. Busano, X. K. Gonzales, V. G. Guerrero, T. A. Tan, Leahlizbeth Sia, Kafferine D. Yamagishi, L. Ocampo
The internet has paved the way for a revolution in the shopping industry via online platforms. As online shopping transactions become popular, it is increasingly important to understand the drivers that influence the consumers in availing such platforms. Furthermore, the differences between developed and developing economies are evident from socioeconomic, regulatory, and e-commerce disparities. Understanding such domain from a developing economies perspective is not well explored in the current literature. Thus, this study aims to identify the relationships among drivers of consumers in pursuing online shopping in a developing economy (i.e., the Philippines) using interpretative structural modeling. The study identified six drivers: “convenience/ease of use,” “competitive price,” “product availability,” “value of time,” “access to more information,” and “several payment options.” Results show that all drivers, except for “competitive price,” are closely interlinked to each other, such that initiatives must be simultaneously developed to address these drivers under resource constraints.
{"title":"Using the Interpretative Structural Modeling Approach for Understanding the Relationships of Drivers of Online Shopping: Evidence From a Developing Economy","authors":"Roy Jucip Tabañag Basar, H. R. Borden, M. L. Busano, X. K. Gonzales, V. G. Guerrero, T. A. Tan, Leahlizbeth Sia, Kafferine D. Yamagishi, L. Ocampo","doi":"10.4018/IJSKD.2021040106","DOIUrl":"https://doi.org/10.4018/IJSKD.2021040106","url":null,"abstract":"The internet has paved the way for a revolution in the shopping industry via online platforms. As online shopping transactions become popular, it is increasingly important to understand the drivers that influence the consumers in availing such platforms. Furthermore, the differences between developed and developing economies are evident from socioeconomic, regulatory, and e-commerce disparities. Understanding such domain from a developing economies perspective is not well explored in the current literature. Thus, this study aims to identify the relationships among drivers of consumers in pursuing online shopping in a developing economy (i.e., the Philippines) using interpretative structural modeling. The study identified six drivers: “convenience/ease of use,” “competitive price,” “product availability,” “value of time,” “access to more information,” and “several payment options.” Results show that all drivers, except for “competitive price,” are closely interlinked to each other, such that initiatives must be simultaneously developed to address these drivers under resource constraints.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"10 1","pages":"90-104"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84233416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.4018/IJSKD.2021040108
K. Fouad, Tarek Elsheshtawy, Mohamed F. Dawood
Support vector regression (SVR) is one of the supervised machine learning algorithms that can be exploited for prediction issues. The main enhancement issue of SVR is attempting to select a reliable parameter to assure the high performance of SVR. In this paper, the intelligent approach is based on integrating the enhanced particle swarm optimization PSO with the SVR to achieve the proper SVR parameters that are used to improve SVR performance. The enhanced PSO is performed by implementing parallelized linear time-variant acceleration coefficients (TVAC) and inertia weight (IW) of PSO, called PLTVACIW-PSO. The proposed approach is evaluated by performing the experimental comparisons of the proposed algorithm with eleven different algorithms. These comparisons are performed by applying the proposed algorithm and these algorithms to 21 different datasets varying in their scales.
{"title":"Intelligent Approach for Enhancing Prediction Issues in Scalable Data Mining","authors":"K. Fouad, Tarek Elsheshtawy, Mohamed F. Dawood","doi":"10.4018/IJSKD.2021040108","DOIUrl":"https://doi.org/10.4018/IJSKD.2021040108","url":null,"abstract":"Support vector regression (SVR) is one of the supervised machine learning algorithms that can be exploited for prediction issues. The main enhancement issue of SVR is attempting to select a reliable parameter to assure the high performance of SVR. In this paper, the intelligent approach is based on integrating the enhanced particle swarm optimization PSO with the SVR to achieve the proper SVR parameters that are used to improve SVR performance. The enhanced PSO is performed by implementing parallelized linear time-variant acceleration coefficients (TVAC) and inertia weight (IW) of PSO, called PLTVACIW-PSO. The proposed approach is evaluated by performing the experimental comparisons of the proposed algorithm with eleven different algorithms. These comparisons are performed by applying the proposed algorithm and these algorithms to 21 different datasets varying in their scales.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"91 8 1","pages":"119-152"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87740812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.4018/IJSKD.2021040104
K. Gunawardana
The main objective of the study is to predict financial distress and developing a prediction model using accounting related variables in selected listed firms in Sri Lanka. Decision criteria for financial distress has been selected based on the existing literature on financial distress prediction applicable to the Sri Lankan firms. A sample of 22 financially distressed firms along with 33 financially non-distressed firms have been used to conduct this study. Artificial neural network was used as the basic approach to the study in predicting financial distress. A neural network to predict financial distress was developed with an accuracy of 85.7% one year prior to its occurrence. The second analysis conducted was the panel regression considering five years of cross-sectional data for the sample of companies selected. This analysis was able to identify a significant relationship of leverage, price-to-book ratio and Tobin's Q ratio to the prediction of financial distress of a firm.
{"title":"An Analysis of Financial Distress Prediction of Selected Listed Companies in Colombo Stock Exchange","authors":"K. Gunawardana","doi":"10.4018/IJSKD.2021040104","DOIUrl":"https://doi.org/10.4018/IJSKD.2021040104","url":null,"abstract":"The main objective of the study is to predict financial distress and developing a prediction model using accounting related variables in selected listed firms in Sri Lanka. Decision criteria for financial distress has been selected based on the existing literature on financial distress prediction applicable to the Sri Lankan firms. A sample of 22 financially distressed firms along with 33 financially non-distressed firms have been used to conduct this study. Artificial neural network was used as the basic approach to the study in predicting financial distress. A neural network to predict financial distress was developed with an accuracy of 85.7% one year prior to its occurrence. The second analysis conducted was the panel regression considering five years of cross-sectional data for the sample of companies selected. This analysis was able to identify a significant relationship of leverage, price-to-book ratio and Tobin's Q ratio to the prediction of financial distress of a firm.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"52 1","pages":"48-70"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86483362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.4018/IJSKD.2021040102
Shahd Tarek, H. M. Ebied, A. Hassanien, M. Tolba
This study proposes a segmentation and classification system for early detection of blood disease; the proposed system consists of three phases. The first phase is segmenting white blood cells using multi-level thresholding optimized by the butterfly optimization algorithm to select the optimal threshold value to increase the accuracy. The second phase is extracting geometric and shape features of the segmented cells. The third phase is using the gray wolf optimizer to adopt the weights and biases of the multilayer perceptron to enhance the accuracy of classification between normal and leukemia cells, classify the normal cells to their five categories, and classify the leukemia to their four categories. The proposed system applies to different data sets (ALL-IDB2, LISC, and ASH-Image bank) and overcomes the segmentation and classification problems of microscopic images and shows an outstanding segmentation result, 98.02%; and the average classification accuracy between normal and leukemia cells is 98.58%, between white blood cell categories is 98.9%, and between leukemia types is 98.93%.
{"title":"White Blood Cells Segmentation and Classification Using Swarm Optimization Algorithms and Multilayer Perceptron","authors":"Shahd Tarek, H. M. Ebied, A. Hassanien, M. Tolba","doi":"10.4018/IJSKD.2021040102","DOIUrl":"https://doi.org/10.4018/IJSKD.2021040102","url":null,"abstract":"This study proposes a segmentation and classification system for early detection of blood disease; the proposed system consists of three phases. The first phase is segmenting white blood cells using multi-level thresholding optimized by the butterfly optimization algorithm to select the optimal threshold value to increase the accuracy. The second phase is extracting geometric and shape features of the segmented cells. The third phase is using the gray wolf optimizer to adopt the weights and biases of the multilayer perceptron to enhance the accuracy of classification between normal and leukemia cells, classify the normal cells to their five categories, and classify the leukemia to their four categories. The proposed system applies to different data sets (ALL-IDB2, LISC, and ASH-Image bank) and overcomes the segmentation and classification problems of microscopic images and shows an outstanding segmentation result, 98.02%; and the average classification accuracy between normal and leukemia cells is 98.58%, between white blood cell categories is 98.9%, and between leukemia types is 98.93%.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"180 1","pages":"16-30"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78455044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.4018/IJSKD.2021040107
I. Jahnke, L. Phillips, Fatih Demir, C. Abbott, M. Skubic
Falls are widespread among older adults causing serious injuries and threatening their quality of life. An approach to estimate fall risk, and to prevent falls, is the Timed-Up-and-Go (TUG) test. The TUG test has established validity and reliability. However, as a clinical test, it is not accessible for personal use. To enhance its reach, the authors developed a prototype called Fall Risk Evaluation and Feedback System (FREFS). The prototype is a Kinect-based depth sensor system with interfaces that support older adults in completing the TUG test and receiving personalized test results. The personalized feedback feature is novel that existing prototypes do not include. This study's goal was to gain knowledge of the user experience of FREFS. This research applied methods of observation, interviews, and collected responses on the System Usability Scale (SUS). Results show participants perceived the system as usable, with SUS score of 84.3, but also revealed issues. First, users were unsure how to deal with the TUG tests results when the results showed high fall risk. Second, clearer instructions and reduction of information overload specifically for these age groups were needed. Third, a communication approach embedded into the system would be required (i.e., a link to a chatbot feature or a button to connect to a real person). Overall, the study demonstrated that such a prototype cannot be fully automated; it needs a sociotechnical system solution that includes human communication.
{"title":"A Fall Risk Evaluation and Feedback System for Older Adults: From a Technical to a Sociotechnical Need","authors":"I. Jahnke, L. Phillips, Fatih Demir, C. Abbott, M. Skubic","doi":"10.4018/IJSKD.2021040107","DOIUrl":"https://doi.org/10.4018/IJSKD.2021040107","url":null,"abstract":"Falls are widespread among older adults causing serious injuries and threatening their quality of life. An approach to estimate fall risk, and to prevent falls, is the Timed-Up-and-Go (TUG) test. The TUG test has established validity and reliability. However, as a clinical test, it is not accessible for personal use. To enhance its reach, the authors developed a prototype called Fall Risk Evaluation and Feedback System (FREFS). The prototype is a Kinect-based depth sensor system with interfaces that support older adults in completing the TUG test and receiving personalized test results. The personalized feedback feature is novel that existing prototypes do not include. This study's goal was to gain knowledge of the user experience of FREFS. This research applied methods of observation, interviews, and collected responses on the System Usability Scale (SUS). Results show participants perceived the system as usable, with SUS score of 84.3, but also revealed issues. First, users were unsure how to deal with the TUG tests results when the results showed high fall risk. Second, clearer instructions and reduction of information overload specifically for these age groups were needed. Third, a communication approach embedded into the system would be required (i.e., a link to a chatbot feature or a button to connect to a real person). Overall, the study demonstrated that such a prototype cannot be fully automated; it needs a sociotechnical system solution that includes human communication.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"99 1","pages":"105-118"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78117500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.4018/IJSKD.2021040101
T. Iyamu, P. Makovhololo
Despite its essentiality, spoken languages continue to pose severe challenges within the South African health facilities, which can be attributed to the country's adaptation of 11 official languages. Some of the challenges can be attributed to the fact that the limits to an individual's language are commensurate to the limits to an individual's real-life world and meaning, which are often influenced by semantics. The objectives of this study was to establish the factors that influence spoken languages, and how the semantics in the languages can be translated from local dialects to English by using mobile systems. The interpretivist approach was applied in the study. Data was collected through semi-structured interview technique. The actor-network theory was used as a lens to guide the analysis of the data. From the analysis, the following factors—heterogeneity of networks, bilingualism, healthcare facility, and information engine—were found to influence language semantics in South African healthcare. Based on the findings, a framework was developed that can be used to understand how language semantics influence healthcare services in the country. Thus, the study can be of interest to healthcare practitioners, language specialists for translation purposes, and IT experts for support and enablement.
{"title":"The South African Perspective of the Impact of Language on the Delivery of Healthcare Services","authors":"T. Iyamu, P. Makovhololo","doi":"10.4018/IJSKD.2021040101","DOIUrl":"https://doi.org/10.4018/IJSKD.2021040101","url":null,"abstract":"Despite its essentiality, spoken languages continue to pose severe challenges within the South African health facilities, which can be attributed to the country's adaptation of 11 official languages. Some of the challenges can be attributed to the fact that the limits to an individual's language are commensurate to the limits to an individual's real-life world and meaning, which are often influenced by semantics. The objectives of this study was to establish the factors that influence spoken languages, and how the semantics in the languages can be translated from local dialects to English by using mobile systems. The interpretivist approach was applied in the study. Data was collected through semi-structured interview technique. The actor-network theory was used as a lens to guide the analysis of the data. From the analysis, the following factors—heterogeneity of networks, bilingualism, healthcare facility, and information engine—were found to influence language semantics in South African healthcare. Based on the findings, a framework was developed that can be used to understand how language semantics influence healthcare services in the country. Thus, the study can be of interest to healthcare practitioners, language specialists for translation purposes, and IT experts for support and enablement.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"47 1","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89316308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.4018/IJSKD.2021040103
Malik Khlaif Gharaibeh, Natheer Khlaif Gharaibeh
This paper empirically explains the main determinants impacting user's intention to shop via mobile application in Jordan. This study modified innovation diffusion theory (IDT) and incorporates two new factors: perceived enjoyment and perceived risk. Data were obtained from 450 customers by using regression analysis for testing seven hypotheses. The results showed that relative advantage, compatibility, trialability, and observability are significantly associated with consumer decisions to adopt mobile shopping applications. Perceived enjoyment and perceived risk have a non-significant effect on the intention to use. Interestingly, complexity was found to be positively related to intention to use. This research confirms that IDT is a robust model when studying new technology or innovation like mobile shopping. The findings from this study are helpful for software engineers, retailers, service developers, and mobile marketers to raise the usage rate of this service among people.
{"title":"Understanding Adoption Intention of Mobile Shopping Applications: Empirical Assessment From IDT - Perceived Risk and Enjoyment","authors":"Malik Khlaif Gharaibeh, Natheer Khlaif Gharaibeh","doi":"10.4018/IJSKD.2021040103","DOIUrl":"https://doi.org/10.4018/IJSKD.2021040103","url":null,"abstract":"This paper empirically explains the main determinants impacting user's intention to shop via mobile application in Jordan. This study modified innovation diffusion theory (IDT) and incorporates two new factors: perceived enjoyment and perceived risk. Data were obtained from 450 customers by using regression analysis for testing seven hypotheses. The results showed that relative advantage, compatibility, trialability, and observability are significantly associated with consumer decisions to adopt mobile shopping applications. Perceived enjoyment and perceived risk have a non-significant effect on the intention to use. Interestingly, complexity was found to be positively related to intention to use. This research confirms that IDT is a robust model when studying new technology or innovation like mobile shopping. The findings from this study are helpful for software engineers, retailers, service developers, and mobile marketers to raise the usage rate of this service among people.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"19 1","pages":"31-47"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85332556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.4018/IJSKD.2021040110
Mohamed Taha, Noha Abd-ElKareem, M. Selim
Visually impaired (VI) people suffer from many difficulties when accessing printed material using existing technologies. These problems may include text alignment, focus, accuracy, software processing speed, mobility, and efficiency. Current technologies such as flatbed scanners and OCR programs need to scan an entire page. Recently, VI people prefer mobile devices because of their handiness and accessibility, but they have problems with focusing the mobile camera on the printed material. In this paper, a real-time Arabic text-reading prototype for VI people is proposed. It is based on using a wearable device for a hand finger. It is designed as a wearable ring attached to a tiny webcam device. The attached camera captures the printed Arabic text and passes it to the Arabic OCR system. Finally, the recognized characters are translated into speech using the text-to-speech (TTS) technology. Experimental results demonstrate the feasibility of the proposed prototype. It achieved an accuracy of 95.86% for Arabic character recognition and 98.5% for English character recognition.
{"title":"Real-Time Arabic Text-Reading for Visually Impaired People","authors":"Mohamed Taha, Noha Abd-ElKareem, M. Selim","doi":"10.4018/IJSKD.2021040110","DOIUrl":"https://doi.org/10.4018/IJSKD.2021040110","url":null,"abstract":"Visually impaired (VI) people suffer from many difficulties when accessing printed material using existing technologies. These problems may include text alignment, focus, accuracy, software processing speed, mobility, and efficiency. Current technologies such as flatbed scanners and OCR programs need to scan an entire page. Recently, VI people prefer mobile devices because of their handiness and accessibility, but they have problems with focusing the mobile camera on the printed material. In this paper, a real-time Arabic text-reading prototype for VI people is proposed. It is based on using a wearable device for a hand finger. It is designed as a wearable ring attached to a tiny webcam device. The attached camera captures the printed Arabic text and passes it to the Arabic OCR system. Finally, the recognized characters are translated into speech using the text-to-speech (TTS) technology. Experimental results demonstrate the feasibility of the proposed prototype. It achieved an accuracy of 95.86% for Arabic character recognition and 98.5% for English character recognition.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"72 1","pages":"168-185"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87406401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.4018/IJSKD.2021040109
J. Forrest, Jun Liu, Gérard Martorell, Liangqi Xu, Yong Liu
At the present time, various ambitious nations laid out their plans for maintaining or acquiring their leadership in the world by emphasizing innovations and by focusing on the manufacturing sector. To understand this phenomenon theoretically, this paper addresses the importance of the manufacturing sector in the overall development of a nation's economic strength. By employing systems thinking and such a logical reasoning that is commonly used in mathematics and natural science, this paper establishes three formal propositions on related issues and provides policy recommendations and open problems for future research.
{"title":"Role of Manufacturing Sector in the Forthcoming National Industrial Transformations","authors":"J. Forrest, Jun Liu, Gérard Martorell, Liangqi Xu, Yong Liu","doi":"10.4018/IJSKD.2021040109","DOIUrl":"https://doi.org/10.4018/IJSKD.2021040109","url":null,"abstract":"At the present time, various ambitious nations laid out their plans for maintaining or acquiring their leadership in the world by emphasizing innovations and by focusing on the manufacturing sector. To understand this phenomenon theoretically, this paper addresses the importance of the manufacturing sector in the overall development of a nation's economic strength. By employing systems thinking and such a logical reasoning that is commonly used in mathematics and natural science, this paper establishes three formal propositions on related issues and provides policy recommendations and open problems for future research.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"8 1","pages":"153-167"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81778656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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