Since technology allows tourist companies to replace expensive human labor with electronic labor, labor expenses are reduced, yet customer service concerns are often avoided. Companies and organizations face new challenges daily. Increased consumer demands and global competition result in significant adjustments in the industrialized world. On the other hand, technology can bring forth entirely new types of unintended effects. There are new prospects for the tourist sector with the rise of big data. Data mining and cloud computing are widely used in the tourist sector to extract useful information from vast quantities of data. A new tourism marketing management model based on big data can be developed with this function. This research thus presents a big data and cloud computing-integrated tourism decision-making (BC2TDM) paradigm to analyze the behavior of travel consumers. This model uses the deep learning model to forecast the travel consumer behavior to ensure a personalized tourism experience.
{"title":"Big Data and Cloud Computing-Integrated Tourism Decision-Making in Smart Logistics Technologies","authors":"Man Lan","doi":"10.4018/ijec.316880","DOIUrl":"https://doi.org/10.4018/ijec.316880","url":null,"abstract":"Since technology allows tourist companies to replace expensive human labor with electronic labor, labor expenses are reduced, yet customer service concerns are often avoided. Companies and organizations face new challenges daily. Increased consumer demands and global competition result in significant adjustments in the industrialized world. On the other hand, technology can bring forth entirely new types of unintended effects. There are new prospects for the tourist sector with the rise of big data. Data mining and cloud computing are widely used in the tourist sector to extract useful information from vast quantities of data. A new tourism marketing management model based on big data can be developed with this function. This research thus presents a big data and cloud computing-integrated tourism decision-making (BC2TDM) paradigm to analyze the behavior of travel consumers. This model uses the deep learning model to forecast the travel consumer behavior to ensure a personalized tourism experience.","PeriodicalId":46330,"journal":{"name":"International Journal of e-Collaboration","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42459187","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}
With the rapid development of information and communication technologies, blended learning has gained popularity after the COVID-19 pandemic. This study aims to visualize and bibliometrically analyze information and communication technology-based blended learning. Through bibliometric analyses and visualization via both VOSviewer and CitNetExplorer, this study identified the top ten cited authors, organizations, countries, sources, and keywords in the field of information and communication technologies used for blended learning, providing meaningful references for future research. Most studies reported that information and communication technology-based blended learning could improve learning effectiveness and environments despite numerous challenges revealed by several previous studies. In addition, this study suggested the main research methods to explore ICT-assisted blended learning given the present meta-analytical methods in the longest path where a citation network was established. Future research directions were suggested.
{"title":"Visualizing and Bibliometrically Analyzing Information and Communication Technology-Based Blended Learning","authors":"Zhonggen Yu, Danhua Peng","doi":"10.4018/ijec.324950","DOIUrl":"https://doi.org/10.4018/ijec.324950","url":null,"abstract":"With the rapid development of information and communication technologies, blended learning has gained popularity after the COVID-19 pandemic. This study aims to visualize and bibliometrically analyze information and communication technology-based blended learning. Through bibliometric analyses and visualization via both VOSviewer and CitNetExplorer, this study identified the top ten cited authors, organizations, countries, sources, and keywords in the field of information and communication technologies used for blended learning, providing meaningful references for future research. Most studies reported that information and communication technology-based blended learning could improve learning effectiveness and environments despite numerous challenges revealed by several previous studies. In addition, this study suggested the main research methods to explore ICT-assisted blended learning given the present meta-analytical methods in the longest path where a citation network was established. Future research directions were suggested.","PeriodicalId":46330,"journal":{"name":"International Journal of e-Collaboration","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136356057","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}
With new and evolving technology and ever-increasing remote collaboration, intelligence reporting processes are at a crossroads. Key questions about how best to collaboratively produce reports to get the right information to the right decision-makers in the right context are more important than ever. This research project has attempted to address one part of the puzzle: How can reports be produced collaboratively? In this article, throughout two studies, the researchers documented the processes of report generation and consumption as well as assessed three collaborative writing strategies to gain valuable research data and to aid analysts with collaborative reporting, improve collaboration, and advance reporting methodology within the Intelligence Community.
{"title":"Collaborative Writing in the Intelligence Community","authors":"Hongyang Liu, Byungsoo Kim, Sharon M. B. Joines","doi":"10.4018/ijec.324110","DOIUrl":"https://doi.org/10.4018/ijec.324110","url":null,"abstract":"With new and evolving technology and ever-increasing remote collaboration, intelligence reporting processes are at a crossroads. Key questions about how best to collaboratively produce reports to get the right information to the right decision-makers in the right context are more important than ever. This research project has attempted to address one part of the puzzle: How can reports be produced collaboratively? In this article, throughout two studies, the researchers documented the processes of report generation and consumption as well as assessed three collaborative writing strategies to gain valuable research data and to aid analysts with collaborative reporting, improve collaboration, and advance reporting methodology within the Intelligence Community.","PeriodicalId":46330,"journal":{"name":"International Journal of e-Collaboration","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47189302","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}
Personnel is an organization's most important resource, and it is important to manage them properly to provide maximum benefit to organizations. Many employees work in teams to create value. In the digital age, diverse teams are becoming the new norm. Diversity may be due to ethnicity, gender, culture, sexuality, or due to task-related knowledge, skills, opinions, and perspective differences. Many groups become productive over time, but some groups also become dysfunctional. This paper examines groups that work together and ultimately become dysfunctional to the extent that they have to be reassigned or dismantled. The authors use a three-stage model to explore why this happens. They use widely accepted Lencioni's five functional characteristics to study dysfunctional teams. In addition, they argue Lencioni's model should be revised to include an additional layer of lack of functional expertise. A revised Lencioni's model is proposed, and future research areas are also discussed. Managers should follow this model while creating groups to use resources at max.
{"title":"A Study of Lencioni's Model of Dysfunctional Groups","authors":"A. Aggarwal","doi":"10.4018/ijec.321557","DOIUrl":"https://doi.org/10.4018/ijec.321557","url":null,"abstract":"Personnel is an organization's most important resource, and it is important to manage them properly to provide maximum benefit to organizations. Many employees work in teams to create value. In the digital age, diverse teams are becoming the new norm. Diversity may be due to ethnicity, gender, culture, sexuality, or due to task-related knowledge, skills, opinions, and perspective differences. Many groups become productive over time, but some groups also become dysfunctional. This paper examines groups that work together and ultimately become dysfunctional to the extent that they have to be reassigned or dismantled. The authors use a three-stage model to explore why this happens. They use widely accepted Lencioni's five functional characteristics to study dysfunctional teams. In addition, they argue Lencioni's model should be revised to include an additional layer of lack of functional expertise. A revised Lencioni's model is proposed, and future research areas are also discussed. Managers should follow this model while creating groups to use resources at max.","PeriodicalId":46330,"journal":{"name":"International Journal of e-Collaboration","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48822459","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}
L. Colaco, Arun S. Nair, Anurag Madnawat, B. Raveendran
Collaborative research is an opportunity to bring creative minds together and blend multiple disciplines to churn out innovative solutions. In this era of massive social media and information overload, a streamlined process framework with best practices and procedures is a requirement for genuine scientific collaboration. The main aim of this work is to bring forth a software-centric framework for harmonizing research. SACRED is the outcome of experiences gained during the development of ‘ARMS'-An Analysis Framework for Mixed Criticality Systems. ARMS is a collaborative platform to disseminate research and literature in real-time mixed criticality systems. ARMS is hosted on Amazon Amplify with the user interface implemented using the ReactJS framework. SACRED summarizes the software-centric process, practices and procedures followed, and renders it for similar collaborations in the future.
{"title":"SACRED: Software Approach for Collaboration and Research Dissemination","authors":"L. Colaco, Arun S. Nair, Anurag Madnawat, B. Raveendran","doi":"10.4018/ijec.315782","DOIUrl":"https://doi.org/10.4018/ijec.315782","url":null,"abstract":"Collaborative research is an opportunity to bring creative minds together and blend multiple disciplines to churn out innovative solutions. In this era of massive social media and information overload, a streamlined process framework with best practices and procedures is a requirement for genuine scientific collaboration. The main aim of this work is to bring forth a software-centric framework for harmonizing research. SACRED is the outcome of experiences gained during the development of ‘ARMS'-An Analysis Framework for Mixed Criticality Systems. ARMS is a collaborative platform to disseminate research and literature in real-time mixed criticality systems. ARMS is hosted on Amazon Amplify with the user interface implemented using the ReactJS framework. SACRED summarizes the software-centric process, practices and procedures followed, and renders it for similar collaborations in the future.","PeriodicalId":46330,"journal":{"name":"International Journal of e-Collaboration","volume":"19 1","pages":"1-20"},"PeriodicalIF":1.7,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70455868","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}
{"title":"Feature Selection Using Elephant Herd Principal Component Optimization Technique in Big Data Streams Using Internet of Things","authors":"N. GayathriDevi, K. Manikandan","doi":"10.4018/ijec.304041","DOIUrl":"https://doi.org/10.4018/ijec.304041","url":null,"abstract":"","PeriodicalId":46330,"journal":{"name":"International Journal of e-Collaboration","volume":"18 1","pages":"1-14"},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70455927","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}
{"title":"Design of an Optimal Deep Learning-Based Self-Healing Mechanism With Failure Prediction Model for Web Services","authors":"P. Rajeswari, K. Jayashree","doi":"10.4018/ijec.304375","DOIUrl":"https://doi.org/10.4018/ijec.304375","url":null,"abstract":"","PeriodicalId":46330,"journal":{"name":"International Journal of e-Collaboration","volume":"18 1","pages":"1-15"},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70456085","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}
{"title":"A Cluster-Based Routing Protocol for WSN Based on Mahalanobis Distance and AODV Protocol","authors":"S. PavithraG., N. Babu","doi":"10.4018/ijec.304376","DOIUrl":"https://doi.org/10.4018/ijec.304376","url":null,"abstract":"","PeriodicalId":46330,"journal":{"name":"International Journal of e-Collaboration","volume":"18 1","pages":"1-19"},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70456140","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}
The purpose of this study was to investigate MOOCs as an open gateway for ongoing learning opportunities to scholars, institutions and academics. MOOCs are now being offered in the field of archives and records management (ARM) by several institutions. The justification was the opportunities to ARM institutions in Eswatini since constraints of inadequate ARM lecturers, inadequate education and training institutions, low skills levels, the paucity of funds and limited infrastructure, serve as barriers to the effective delivery of ARM education. This study provides the first perspective from a developing country like Eswatini. It explains the concept of MOOC and it's present role in ARM, such that, potential intercontinental collaboration could strengthen teaching and research. A survey design was adopted to collect the views of ARM professionals to assess there understanding and interest in MOOCs. The study revealed great interest among ARM professionals regarding further study through MOOCs, although the adoption of this learning method in Eswatini is still a rarity.
{"title":"Massive Open Online Courses","authors":"Ebba S. I. Ossiannilsson","doi":"10.4018/ijec.299001","DOIUrl":"https://doi.org/10.4018/ijec.299001","url":null,"abstract":"The purpose of this study was to investigate MOOCs as an open gateway for ongoing learning opportunities to scholars, institutions and academics. MOOCs are now being offered in the field of archives and records management (ARM) by several institutions. The justification was the opportunities to ARM institutions in Eswatini since constraints of inadequate ARM lecturers, inadequate education and training institutions, low skills levels, the paucity of funds and limited infrastructure, serve as barriers to the effective delivery of ARM education. This study provides the first perspective from a developing country like Eswatini. It explains the concept of MOOC and it's present role in ARM, such that, potential intercontinental collaboration could strengthen teaching and research. A survey design was adopted to collect the views of ARM professionals to assess there understanding and interest in MOOCs. The study revealed great interest among ARM professionals regarding further study through MOOCs, although the adoption of this learning method in Eswatini is still a rarity.","PeriodicalId":46330,"journal":{"name":"International Journal of e-Collaboration","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44929615","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}
There has been a lack of common data management and encoding standards, as well as an inability to connect products to the many stages of their transformation process. This paper proposes a Food Supply Chain Ontology to help in the management of food traceability at various phases of the supply chain, from the extraction of raw materials to the delivery of goods to customers. Traceability has the potential to be a game-changer in the industry since it is inextricably linked to product safety and quality. Integrating the semantic web into the food supply chain enhances planning, forecasting, productivity, and competitiveness. Most of the research papers concentrate on conveying knowledge about one food type while neglecting the other food categories. Furthermore, these articles did not represent knowledge about all stages of the food supply chain. This paper proposes and implements a food supply chain ontology. During the management of the entire food supply chain stages, the suggested ontology describes all types of food products.
{"title":"Ontology-Based Knowledge Modelling for Food Supply Chain Data Representation","authors":"","doi":"10.4018/ijec.299009","DOIUrl":"https://doi.org/10.4018/ijec.299009","url":null,"abstract":"There has been a lack of common data management and encoding standards, as well as an inability to connect products to the many stages of their transformation process. This paper proposes a Food Supply Chain Ontology to help in the management of food traceability at various phases of the supply chain, from the extraction of raw materials to the delivery of goods to customers. Traceability has the potential to be a game-changer in the industry since it is inextricably linked to product safety and quality. Integrating the semantic web into the food supply chain enhances planning, forecasting, productivity, and competitiveness. Most of the research papers concentrate on conveying knowledge about one food type while neglecting the other food categories. Furthermore, these articles did not represent knowledge about all stages of the food supply chain. This paper proposes and implements a food supply chain ontology. During the management of the entire food supply chain stages, the suggested ontology describes all types of food products.","PeriodicalId":46330,"journal":{"name":"International Journal of e-Collaboration","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45088477","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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