Pub Date : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380601
J. Cegarra-Navarro, Elena-Mădălina Vătămănescu, Aurora Martínez‐Martínez
Although it is not clear what positive and negative effects knowledge hiding may have on citizens, some Governments have tried to address the crisis caused by COVID-19 through hiding or distorting information available to citizens. This study suggests that the presence of realized absorptive capacity (RACAP) allows citizens to stop the spreading of fake news about COVID 19. The paper focuses on RACAP as a method to counteract the potential negative effects of knowledge hiding and thus increase citizen engagement. To do so, this study analyses data collected from 251 citizens of two countries: Spain and China. Results provides evidence that while Spaniards have the feeling that a lot of information has been hidden from them, Chinese citizens are ultimately much more committed to taking appropriate COVID 19 measures. Despite these differences, in both samples RACAP help to ensure compliance with new legislation and COVID-19-related restrictions.
{"title":"A knowledge hiding approach to cope with COVID-19: A Comparison between Spain and China","authors":"J. Cegarra-Navarro, Elena-Mădălina Vătămănescu, Aurora Martínez‐Martínez","doi":"10.1109/ICTMOD49425.2020.9380601","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380601","url":null,"abstract":"Although it is not clear what positive and negative effects knowledge hiding may have on citizens, some Governments have tried to address the crisis caused by COVID-19 through hiding or distorting information available to citizens. This study suggests that the presence of realized absorptive capacity (RACAP) allows citizens to stop the spreading of fake news about COVID 19. The paper focuses on RACAP as a method to counteract the potential negative effects of knowledge hiding and thus increase citizen engagement. To do so, this study analyses data collected from 251 citizens of two countries: Spain and China. Results provides evidence that while Spaniards have the feeling that a lot of information has been hidden from them, Chinese citizens are ultimately much more committed to taking appropriate COVID 19 measures. Despite these differences, in both samples RACAP help to ensure compliance with new legislation and COVID-19-related restrictions.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"62 36","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120888833","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380617
Kerem Kayabay, M. Gökalp, E. Gökalp, P. Eren, Altan Koçyiğit
The availability of big data and related technologies enables businesses to exploit data for competitive advantage. Still, many industries face obstacles while leveraging data science to overcome business problems. This paper explores the development of a roadmapping approach to address data science challenges. Towards this goal, we customize technology roadmapping by synthesizing roadmapping, big data, data science, and data-driven organization literature. The resulting data science roadmapping approach links business strategy with data-related, technological, and organizational resources. It also enables communication, stakeholder buy-in, and project prioritization. While most of the existing studies illustrate prebuilt roadmaps, this study focuses on the process of roadmapping. The application of the roadmapping process rather than a particular roadmap provides the benefits above.
{"title":"Data Science Roadmapping: Towards an Architectural Framework","authors":"Kerem Kayabay, M. Gökalp, E. Gökalp, P. Eren, Altan Koçyiğit","doi":"10.1109/ICTMOD49425.2020.9380617","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380617","url":null,"abstract":"The availability of big data and related technologies enables businesses to exploit data for competitive advantage. Still, many industries face obstacles while leveraging data science to overcome business problems. This paper explores the development of a roadmapping approach to address data science challenges. Towards this goal, we customize technology roadmapping by synthesizing roadmapping, big data, data science, and data-driven organization literature. The resulting data science roadmapping approach links business strategy with data-related, technological, and organizational resources. It also enables communication, stakeholder buy-in, and project prioritization. While most of the existing studies illustrate prebuilt roadmaps, this study focuses on the process of roadmapping. The application of the roadmapping process rather than a particular roadmap provides the benefits above.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127764238","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380620
S. Gareta, E. M. Bakama, C. M. Mukwakungu, N. Sukdeo
This study aimed at establishing the impact of the use of benchmarking by Small to Medium Enterprises to enhance Organisational effectiveness. Competitive benchmarking, performance, best practices, and strategic are types of benchmarking under review; their importance in the small to medium enterprises and the benefits derived from their use. The study was required by the need to investigate benchmarking with regards to South Africa since there’s little data archived on the topic. An exploratory quantitative approach using questionnaires was conveyed and the 125 responses were examined utilizing statistical methods with Microsoft Excel and Google Forms. Cramer’s V was also used to calculate the correlation coefficient as well as the Cronbach alpha for the reliability test. The results showed that there is a far-reaching utilization of benchmarking in South Africa and there are different applications currently being done by organizations which include the following areas: Customer services, strategic planning, IT, maintenance, process improvement, research, and development, sales and marketing, and public relations. The results also confirmed that the use of benchmarking is positively associated with the improvement of business effectiveness
{"title":"The use of benchmarking as a management tool for organisational effectiveness in South Africa: A focus on small to medium enterprises","authors":"S. Gareta, E. M. Bakama, C. M. Mukwakungu, N. Sukdeo","doi":"10.1109/ICTMOD49425.2020.9380620","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380620","url":null,"abstract":"This study aimed at establishing the impact of the use of benchmarking by Small to Medium Enterprises to enhance Organisational effectiveness. Competitive benchmarking, performance, best practices, and strategic are types of benchmarking under review; their importance in the small to medium enterprises and the benefits derived from their use. The study was required by the need to investigate benchmarking with regards to South Africa since there’s little data archived on the topic. An exploratory quantitative approach using questionnaires was conveyed and the 125 responses were examined utilizing statistical methods with Microsoft Excel and Google Forms. Cramer’s V was also used to calculate the correlation coefficient as well as the Cronbach alpha for the reliability test. The results showed that there is a far-reaching utilization of benchmarking in South Africa and there are different applications currently being done by organizations which include the following areas: Customer services, strategic planning, IT, maintenance, process improvement, research, and development, sales and marketing, and public relations. The results also confirmed that the use of benchmarking is positively associated with the improvement of business effectiveness","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"78 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128091436","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380603
Sarath Menon, Satya Shah
Over the past years supply chain has undergone a massive change, from operational function which reported to sales or manufacturing which then focused on ensuring the supply of production lines and delivery to customers, to an independent supply chain management team which is led by Chief Supply Chain Officer in some organisation. Industry 4.0 and their innovative technologies has created a disruption which requires the organisations to redesign their supply chain. Emergence of the industry 4.0 has paved the way for next level of supply chain- Digital Supply Chain. Global market leading manufacturers has positioned themselves with the world of supply chain 4.0 to meet the expectation of their end customers. Small and Medium Enterprises (SME's) plays has major role in supporting the global market leaders. But SME's lacks the knowledge of significance of digitalising themselves with the extremely complex supply chain 4.0 which may lead them to losses and closures if they do not transform themselves with the latest innovative technologies and adopt digital supply chain (DSC). This paper aims to review the current literatures on digital supply chain to gain insight of current status of relevant literatures which focus on Digital transformation of supply chain within manufacturing SME's.
{"title":"Growth of Digital Supply Chains for SME Transformation","authors":"Sarath Menon, Satya Shah","doi":"10.1109/ICTMOD49425.2020.9380603","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380603","url":null,"abstract":"Over the past years supply chain has undergone a massive change, from operational function which reported to sales or manufacturing which then focused on ensuring the supply of production lines and delivery to customers, to an independent supply chain management team which is led by Chief Supply Chain Officer in some organisation. Industry 4.0 and their innovative technologies has created a disruption which requires the organisations to redesign their supply chain. Emergence of the industry 4.0 has paved the way for next level of supply chain- Digital Supply Chain. Global market leading manufacturers has positioned themselves with the world of supply chain 4.0 to meet the expectation of their end customers. Small and Medium Enterprises (SME's) plays has major role in supporting the global market leaders. But SME's lacks the knowledge of significance of digitalising themselves with the extremely complex supply chain 4.0 which may lead them to losses and closures if they do not transform themselves with the latest innovative technologies and adopt digital supply chain (DSC). This paper aims to review the current literatures on digital supply chain to gain insight of current status of relevant literatures which focus on Digital transformation of supply chain within manufacturing SME's.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131732657","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380593
Alessia Zoppelletto, L. B. Orlandi, A. Zardini, C. Rossignoli
The 4th industrial revolution or Knowledge Age enhances the transition to knowledge-driven organizations that rely on data, technologies and learn how to manage all the variables involved in their digital transformation (DT). How should firms manage their knowledge during their DT is an underdeveloped research issue, especially in the SMEs' context. Employing a mixed inductive-deductive approach, this multiple case-study of 35 SMEs tries to shed light on which are the critical knowledge factors required to support and hinder DT in SMEs' context.
{"title":"Assessing the role of knowledge management to enhance or prevent digital transformation in SMEs: critical knowledge factors required","authors":"Alessia Zoppelletto, L. B. Orlandi, A. Zardini, C. Rossignoli","doi":"10.1109/ICTMOD49425.2020.9380593","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380593","url":null,"abstract":"The 4th industrial revolution or Knowledge Age enhances the transition to knowledge-driven organizations that rely on data, technologies and learn how to manage all the variables involved in their digital transformation (DT). How should firms manage their knowledge during their DT is an underdeveloped research issue, especially in the SMEs' context. Employing a mixed inductive-deductive approach, this multiple case-study of 35 SMEs tries to shed light on which are the critical knowledge factors required to support and hinder DT in SMEs' context.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128704269","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380604
Alberto Ferraris, Francesco Antonio Perotti
The purpose of this short paper is to build theory and to stimulate further research on knowledge sabotage, the most extreme counterproductive behavior that hinders knowledge sharing. Following a comprehensive analysis of the literature, we identified nine original conceptual propositions which shape an innovative framework of individual-, group- and organizational-level factors. The proposed framework offers the key factors that are relevant for a better conceptualization of knowledge sabotage, thus representing a fertile ground for new empirical studies. Since the recent formalization of the "sabotage" of knowledge, this paper is the first that presents such influencing factors thus opening the way for a better understanding of the dynamics that inhibit knowledge sharing.
{"title":"Exploring the concept of “knowledge sabotage”","authors":"Alberto Ferraris, Francesco Antonio Perotti","doi":"10.1109/ICTMOD49425.2020.9380604","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380604","url":null,"abstract":"The purpose of this short paper is to build theory and to stimulate further research on knowledge sabotage, the most extreme counterproductive behavior that hinders knowledge sharing. Following a comprehensive analysis of the literature, we identified nine original conceptual propositions which shape an innovative framework of individual-, group- and organizational-level factors. The proposed framework offers the key factors that are relevant for a better conceptualization of knowledge sabotage, thus representing a fertile ground for new empirical studies. Since the recent formalization of the \"sabotage\" of knowledge, this paper is the first that presents such influencing factors thus opening the way for a better understanding of the dynamics that inhibit knowledge sharing.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115145590","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380596
Rajaa Aboulaich, K. Bensaid, S. Chabbar, Jaafar El Karkri
The objective of this work is to simulate the growth of the novel corona virus disease in some cities in Morocco. We study the impact of the barrier and health measures to be taken to reduce the spread and contain the epidemic. In order to define the optimal measures to take to curb the spread of the pandemic, our goal is to use adequate mathematical modeling tools and adapt agent-based models to simulate the evolution of the pandemic and its spread in Morocco. An analysis of the disease spread based on compartmental modeling leads to an ordinary differential equation governing the system. In addition, the agent-based approach uses artificial intelligence and makes it possible to deal with complexity, also permits to consider different scenarios. The obtained numerical simulations give a clear idea of the spread of a party’s disease and for each of the measures that are taken into account during containment or during de-containment. These simulations are decision support efficient tools rendered on powerful modeling tools. The two approaches are complementary and give rise to successful models.
{"title":"Mathematical modeling and multi-agents approach for the evolution of the Coronavirus pandemic","authors":"Rajaa Aboulaich, K. Bensaid, S. Chabbar, Jaafar El Karkri","doi":"10.1109/ICTMOD49425.2020.9380596","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380596","url":null,"abstract":"The objective of this work is to simulate the growth of the novel corona virus disease in some cities in Morocco. We study the impact of the barrier and health measures to be taken to reduce the spread and contain the epidemic. In order to define the optimal measures to take to curb the spread of the pandemic, our goal is to use adequate mathematical modeling tools and adapt agent-based models to simulate the evolution of the pandemic and its spread in Morocco. An analysis of the disease spread based on compartmental modeling leads to an ordinary differential equation governing the system. In addition, the agent-based approach uses artificial intelligence and makes it possible to deal with complexity, also permits to consider different scenarios. The obtained numerical simulations give a clear idea of the spread of a party’s disease and for each of the measures that are taken into account during containment or during de-containment. These simulations are decision support efficient tools rendered on powerful modeling tools. The two approaches are complementary and give rise to successful models.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121864040","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380588
Abdelhalim Achergui, H. Allaoui, T. Hsu
To make a product, many components: made inside a supply chain or provided by external suppliers, may be needed as specified in the bill of material (BOM). This variety exposes the production process to various risks as stock ruptures for instance. Due to companies efforts to face the volatile demand and market pressure, Work-in-process (WIP) inventories become redundant in flow production lines. Uncertainty became a major flaw of the system, to which many methods were developed and adopted to manage and optimize the use of resources. One of the most recent methods is Demand Driven Material Requirement Planning (DDMRP) that uses buffers: visual indicators of the net flow integrating the real stock, the actual demand and the expected provisions; This paper describes an approach to solve the optimization problem of minimizing the storing costs, under service time constraint for uncapacitated buffer positioning alongside with the buffer allocation following the DDMRP planning methodology in a hybrid MTO/MTS manufacturing system. Finally, numerical examples are applied to test the efficiency and the performance of the developed algorithm.
{"title":"Strategic DDMRP’s Buffer Positioning for hybrid MTO/MTS manufacturing","authors":"Abdelhalim Achergui, H. Allaoui, T. Hsu","doi":"10.1109/ICTMOD49425.2020.9380588","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380588","url":null,"abstract":"To make a product, many components: made inside a supply chain or provided by external suppliers, may be needed as specified in the bill of material (BOM). This variety exposes the production process to various risks as stock ruptures for instance. Due to companies efforts to face the volatile demand and market pressure, Work-in-process (WIP) inventories become redundant in flow production lines. Uncertainty became a major flaw of the system, to which many methods were developed and adopted to manage and optimize the use of resources. One of the most recent methods is Demand Driven Material Requirement Planning (DDMRP) that uses buffers: visual indicators of the net flow integrating the real stock, the actual demand and the expected provisions; This paper describes an approach to solve the optimization problem of minimizing the storing costs, under service time constraint for uncapacitated buffer positioning alongside with the buffer allocation following the DDMRP planning methodology in a hybrid MTO/MTS manufacturing system. Finally, numerical examples are applied to test the efficiency and the performance of the developed algorithm.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125086575","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}
Depth estimation is a very useful task in robotics and mostly computervision applications as obstacle avoidance, navigation and localization in GPS denied environments. Stereovision aproaches are commonly used in the state-of-the-art and dominated with methods from the classic Euclidean geometryand computational photography. However, most of these methods are computationally expensive which limits the applicability on high end setups and platforms. In the light of the recent bloom in Deep Learning and especially CNNs, we present in this paper a lightweight CNN-based encoder-decoder model for the task of monocular depth estimation from single RGB images. The model is designed to be runnable on low-cost platforms. In particular, we explore the performance of the most recent version of the MobileNet family as an encoder part, and afterwards we gradually build up the depth map back using the optimized UpConv block for decoding.
{"title":"Supervised depth estimation for visual perception on low-end platforms","authors":"Sabri Abderrazzak, Souissi Omar, Bouyahyaoui Abdelmalik","doi":"10.1109/ICTMOD49425.2020.9380618","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380618","url":null,"abstract":"Depth estimation is a very useful task in robotics and mostly computervision applications as obstacle avoidance, navigation and localization in GPS denied environments. Stereovision aproaches are commonly used in the state-of-the-art and dominated with methods from the classic Euclidean geometryand computational photography. However, most of these methods are computationally expensive which limits the applicability on high end setups and platforms. In the light of the recent bloom in Deep Learning and especially CNNs, we present in this paper a lightweight CNN-based encoder-decoder model for the task of monocular depth estimation from single RGB images. The model is designed to be runnable on low-cost platforms. In particular, we explore the performance of the most recent version of the MobileNet family as an encoder part, and afterwards we gradually build up the depth map back using the optimized UpConv block for decoding.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122233214","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380612
Houria Laaroussi, F. Guerouate, M. Sbihi
Accurate Tourism demand forecasting plays an important role to make decision and plan policy. However, tourism demand is characterized by complexity and non-linearity. Traditional tourism demand forecasting techniques are Linear methods and unable to fully simulate the nonlinear characteristics of tourism demand. Deep learning (DL) methods can be a promising solution to achieve an accurate forecast. These models are able to evaluate the non-linear relationship, without the drawbacks of Time Series and econometric models. In this paper, a deep learning Models are proposed to accurately predict tourist arrivals for Morocco from 2010 to 2019. The proposed framework uses a long short-term memory (LSTM) and gated recurrent unit (GRU). Experiments demonstrate that the LSTM and GRU methods perform better than support vector regression (SVR) and artificial neural network models (ANN).
{"title":"Deep Learning Framework for Forecasting Tourism Demand","authors":"Houria Laaroussi, F. Guerouate, M. Sbihi","doi":"10.1109/ICTMOD49425.2020.9380612","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380612","url":null,"abstract":"Accurate Tourism demand forecasting plays an important role to make decision and plan policy. However, tourism demand is characterized by complexity and non-linearity. Traditional tourism demand forecasting techniques are Linear methods and unable to fully simulate the nonlinear characteristics of tourism demand. Deep learning (DL) methods can be a promising solution to achieve an accurate forecast. These models are able to evaluate the non-linear relationship, without the drawbacks of Time Series and econometric models. In this paper, a deep learning Models are proposed to accurately predict tourist arrivals for Morocco from 2010 to 2019. The proposed framework uses a long short-term memory (LSTM) and gated recurrent unit (GRU). Experiments demonstrate that the LSTM and GRU methods perform better than support vector regression (SVR) and artificial neural network models (ANN).","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128736429","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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