Pub Date : 2023-01-01DOI: 10.1504/ijads.2023.133138
Tomáš Roskovec, Petr Chládek, Daniel Hejplík, Štĕpán Mudra, Marek Šulista
{"title":"Artificial intelligence based on MCDM for the board game of the Royal Game of Ur","authors":"Tomáš Roskovec, Petr Chládek, Daniel Hejplík, Štĕpán Mudra, Marek Šulista","doi":"10.1504/ijads.2023.133138","DOIUrl":"https://doi.org/10.1504/ijads.2023.133138","url":null,"abstract":"","PeriodicalId":39414,"journal":{"name":"International Journal of Applied Decision Sciences","volume":"134 2-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134888692","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 : 2023-01-01DOI: 10.1504/ijads.2023.134225
Nidhi Handa, S.R. Singh, Neha Punetha
{"title":"Green integrated inventory model for deteriorating items with imperfect production process under inflationary environment","authors":"Nidhi Handa, S.R. Singh, Neha Punetha","doi":"10.1504/ijads.2023.134225","DOIUrl":"https://doi.org/10.1504/ijads.2023.134225","url":null,"abstract":"","PeriodicalId":39414,"journal":{"name":"International Journal of Applied Decision Sciences","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136306597","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 : 2023-01-01DOI: 10.1504/ijads.2023.133196
Li Fang Zhang, Liang Zhou
{"title":"Development of open nutritional recipe software for obese children based on intelligent computing","authors":"Li Fang Zhang, Liang Zhou","doi":"10.1504/ijads.2023.133196","DOIUrl":"https://doi.org/10.1504/ijads.2023.133196","url":null,"abstract":"","PeriodicalId":39414,"journal":{"name":"International Journal of Applied Decision Sciences","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134888704","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}
An effective classification method requires the most informative and relevant set of features. In this paper, we discuss an enhanced text classification method combining feature extraction (FE) and feature selection. First, we used the FE method to extract features from text data and then apply the feature selection method to select the most relevant features out of those extracted features. During feature selection, we introduce a new measure called term affinity to the class (TAC) to estimate the degree of retaining capability of the term as a member of the particular class. TAC is computed based on the combination of normalise document frequency and summing up the occurrence frequency of the term to the specific class. Experimental results on three existing datasets - BBC, Classic4, 20 Newsgroup, and our own dataset called 'Sangai' show that the proposed method outperforms the other competent methods in terms of accuracy.
{"title":"FE-TAC: an effective document classification method combining feature extraction and feature selection","authors":"Kshetrimayum Nareshkumar Singh, Haobam Mamata Devi, Anjana Kakoti Mahant, Ahongsangbam Dorendro","doi":"10.1504/ijads.2023.134204","DOIUrl":"https://doi.org/10.1504/ijads.2023.134204","url":null,"abstract":"An effective classification method requires the most informative and relevant set of features. In this paper, we discuss an enhanced text classification method combining feature extraction (FE) and feature selection. First, we used the FE method to extract features from text data and then apply the feature selection method to select the most relevant features out of those extracted features. During feature selection, we introduce a new measure called term affinity to the class (TAC) to estimate the degree of retaining capability of the term as a member of the particular class. TAC is computed based on the combination of normalise document frequency and summing up the occurrence frequency of the term to the specific class. Experimental results on three existing datasets - BBC, Classic4, 20 Newsgroup, and our own dataset called 'Sangai' show that the proposed method outperforms the other competent methods in terms of accuracy.","PeriodicalId":39414,"journal":{"name":"International Journal of Applied Decision Sciences","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136307589","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 : 2023-01-01DOI: 10.1504/ijads.2023.127957
Kuanchin Chen, Damodar Y. Golhar, Snehamay Banerjee
Application of blockchain technology to facilitate a flexible, reliable, and efficient supply chain is an emerging phenomenon. Motivated by its potential use, researchers have started investigating blockchain's use for managing complex global supply chains. In addition to established supply chain performance criteria, Industry 4.0 requires a more data driven supply chain (SC), where data collection, transmission and processing capabilities are embedded in smart products. However, review articles of blockchain in SC primarily report descriptive statistics, but do not provide sufficient evidence on how topics are studied together. This article discusses the role of blockchain in SC and presents a methodology to study co-occurrence of blockchain topics in SC. Three most often researched topics identified are transparency/traceability, transaction related issues and tracking. Using a machine learning algorithm, we further examine trends of co-occurrence among various topics of interest and identify 'gaps' in existing literature and point to future research directions.
{"title":"Blockchain applications and challenges for supply chain and Industry 4.0: a literature review","authors":"Kuanchin Chen, Damodar Y. Golhar, Snehamay Banerjee","doi":"10.1504/ijads.2023.127957","DOIUrl":"https://doi.org/10.1504/ijads.2023.127957","url":null,"abstract":"Application of blockchain technology to facilitate a flexible, reliable, and efficient supply chain is an emerging phenomenon. Motivated by its potential use, researchers have started investigating blockchain's use for managing complex global supply chains. In addition to established supply chain performance criteria, Industry 4.0 requires a more data driven supply chain (SC), where data collection, transmission and processing capabilities are embedded in smart products. However, review articles of blockchain in SC primarily report descriptive statistics, but do not provide sufficient evidence on how topics are studied together. This article discusses the role of blockchain in SC and presents a methodology to study co-occurrence of blockchain topics in SC. Three most often researched topics identified are transparency/traceability, transaction related issues and tracking. Using a machine learning algorithm, we further examine trends of co-occurrence among various topics of interest and identify 'gaps' in existing literature and point to future research directions.","PeriodicalId":39414,"journal":{"name":"International Journal of Applied Decision Sciences","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135007646","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 : 2023-01-01DOI: 10.1504/ijads.2023.134188
Amal Sindarov, Ali Vafaei Zadeh, N.A. Syafrizal, Razib Chandra Chanda
This research investigates the impact of big data analytical capability (BDAC) on decision-making performance, comparative advantage, and firm performance considering the moderating effect of analytical capability business strategy alignment among manufacturing companies. To test the research framework, a survey questionnaire was distributed to Malaysian manufacturing companies. The results indicate that customer orientation, entrepreneurial orientation, and technology orientation positively and significantly affect BDAC. Besides, BDAC has a positive and significant effect on decision making performance, comparative advantage, and firm performance. The results of this study highlighted that BDAC is an important enabler of organisational performance and their competitive advantage. However, DBAC is more strongly related to competitive advantage than to firm performance.
{"title":"Big data analytical capability and firm performance: moderating effect of analytics capability business strategy alignment","authors":"Amal Sindarov, Ali Vafaei Zadeh, N.A. Syafrizal, Razib Chandra Chanda","doi":"10.1504/ijads.2023.134188","DOIUrl":"https://doi.org/10.1504/ijads.2023.134188","url":null,"abstract":"This research investigates the impact of big data analytical capability (BDAC) on decision-making performance, comparative advantage, and firm performance considering the moderating effect of analytical capability business strategy alignment among manufacturing companies. To test the research framework, a survey questionnaire was distributed to Malaysian manufacturing companies. The results indicate that customer orientation, entrepreneurial orientation, and technology orientation positively and significantly affect BDAC. Besides, BDAC has a positive and significant effect on decision making performance, comparative advantage, and firm performance. The results of this study highlighted that BDAC is an important enabler of organisational performance and their competitive advantage. However, DBAC is more strongly related to competitive advantage than to firm performance.","PeriodicalId":39414,"journal":{"name":"International Journal of Applied Decision Sciences","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136307774","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 : 2023-01-01DOI: 10.1504/ijads.2023.10048276
Yu Yu, Weiwei Zhu, Huaping Lin, Mojtaba Ghiyasi
{"title":"Performance measurement of Taiwan hotels with a hierarchical Network DEA With Shared Inputs","authors":"Yu Yu, Weiwei Zhu, Huaping Lin, Mojtaba Ghiyasi","doi":"10.1504/ijads.2023.10048276","DOIUrl":"https://doi.org/10.1504/ijads.2023.10048276","url":null,"abstract":"","PeriodicalId":39414,"journal":{"name":"International Journal of Applied Decision Sciences","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136297058","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 : 2023-01-01DOI: 10.1504/ijads.2023.10045855
Paola Paoloni, Maurizio Massaro, Francesca Dal Mas, Rosa Lombardi
{"title":"The Internet-of-Things and Human Sustainability between theory and practice. Is it time to bridge the gap","authors":"Paola Paoloni, Maurizio Massaro, Francesca Dal Mas, Rosa Lombardi","doi":"10.1504/ijads.2023.10045855","DOIUrl":"https://doi.org/10.1504/ijads.2023.10045855","url":null,"abstract":"","PeriodicalId":39414,"journal":{"name":"International Journal of Applied Decision Sciences","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135182947","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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