Recently, machine learning has been applied into different major areas such as text classi cation... more Recently, machine learning has been applied into different major areas such as text classi cation, machine translation, and spam detection. The great performance of machine learning algorithms into several elds provided the humans with opportunities to tackle some of their hard jobs to be handled by machine learning systems. These tasks seem effortless for machines, and need less time as the amount of texts or spams need to be classi ed is huge. Hence, in his paper, we propose three different models for the task of emails spam detection. The three models are trained and validated on a public spam dataset. Experimentally, the models performed differently and it was seen that the Naïve Bayes outperformed the other machine learning algorithms in terms of accuracy and other evaluation metrics.
Recently, machine learning has been applied into different major areas such as text classificatio... more Recently, machine learning has been applied into different major areas such as text classification, machine translation, and spam detection. The great performance of machine learning algorithms into several fields provided the humans with opportunities to tackle some of their hard jobs to be handled by machine learning systems. These tasks seem effortless for machines, and need less time as the amount of texts or spams need to be classified is huge. Hence, in his paper, we propose three different models for the task of emails spam detection. The three models are trained and validated on a public spam dataset. Experimentally, the models performed differently and it was seen that the Naïve Bayes outperformed the other machine learning algorithms in terms of accuracy and other evaluation metrics.
Prior research in several industries, particularly manufacturing industries, has confirmed the us... more Prior research in several industries, particularly manufacturing industries, has confirmed the use of supply chain integration (SCI) to achieve green innovation (GI). Despite this, there has been very little research into the effects of SCI on the GI of manufacturing businesses. As a result, the current study was carried out to close this gap in the literature. Data from 231 manufacturing businesses in Jordan was used to validate a framework of several hypotheses about the relationships involving SCI and GI. SCI (customer integration (CI) and supplier integration (SI) have beneficial benefits on the green product and process innovation (GPDI & GPRI), according to the results of structural equation modeling. SI's effects on green products and process innovation are moderated by environmental unpredictability. The effects of CI on green product innovation are being moderated by environmental unpredictability. Environmental uncertainty, on the other hand, does not moderate the impa...
Academics and practitioners have become more interested in big data analytics (BDA) in recent yea... more Academics and practitioners have become more interested in big data analytics (BDA) in recent years. There have been few empirical studies on the relationship between BDA and green supply chain management (GSCM), as well as the importance of environmental orientation (EO). A total of 128 responses from Jordanian industrial businesses were evaluated using the structural equation modeling method. The BDA, EO has a favorable and significant relationship with external and internal GSCM, according to the findings of this study. Furthermore, EO serves as a mediator between BDA and the external, and internal GSCM. The findings provide managerial insight into how to use BDA to establish a proactive environmental policy that covers all GSCM activities.
International Review of Management and Business Research, 2015
IntroductionNowadays companies operate in an environment characterized by increasing competition ... more IntroductionNowadays companies operate in an environment characterized by increasing competition and the rapid pace of technological change (Agbim, et al., 2013). Companies need to renew themselves, as they face many challenges such as providing new products and services, and changing nature of the management within organizations. This change requires synergy creation between technology, organizational structures, processes, and practices to generate competitive advantage (Teece, 2007). Organizations are seeking to improve their administrative goals and methods, in accordance with its environmental conditions, by modifying the organizational structures in line with technology. Given that technology progress is accelerating, the subject of technology impact on organizational structure occupies a growing interest (Vaccaro, et al., 2012). The role of top management appears to be crucial in achieving synergy between the activities and operations in the organization, because top manageme...
Recently, machine learning has been applied into different major areas such as text classi cation... more Recently, machine learning has been applied into different major areas such as text classi cation, machine translation, and spam detection. The great performance of machine learning algorithms into several elds provided the humans with opportunities to tackle some of their hard jobs to be handled by machine learning systems. These tasks seem effortless for machines, and need less time as the amount of texts or spams need to be classi ed is huge. Hence, in his paper, we propose three different models for the task of emails spam detection. The three models are trained and validated on a public spam dataset. Experimentally, the models performed differently and it was seen that the Naïve Bayes outperformed the other machine learning algorithms in terms of accuracy and other evaluation metrics.
Recently, machine learning has been applied into different major areas such as text classificatio... more Recently, machine learning has been applied into different major areas such as text classification, machine translation, and spam detection. The great performance of machine learning algorithms into several fields provided the humans with opportunities to tackle some of their hard jobs to be handled by machine learning systems. These tasks seem effortless for machines, and need less time as the amount of texts or spams need to be classified is huge. Hence, in his paper, we propose three different models for the task of emails spam detection. The three models are trained and validated on a public spam dataset. Experimentally, the models performed differently and it was seen that the Naïve Bayes outperformed the other machine learning algorithms in terms of accuracy and other evaluation metrics.
Prior research in several industries, particularly manufacturing industries, has confirmed the us... more Prior research in several industries, particularly manufacturing industries, has confirmed the use of supply chain integration (SCI) to achieve green innovation (GI). Despite this, there has been very little research into the effects of SCI on the GI of manufacturing businesses. As a result, the current study was carried out to close this gap in the literature. Data from 231 manufacturing businesses in Jordan was used to validate a framework of several hypotheses about the relationships involving SCI and GI. SCI (customer integration (CI) and supplier integration (SI) have beneficial benefits on the green product and process innovation (GPDI & GPRI), according to the results of structural equation modeling. SI's effects on green products and process innovation are moderated by environmental unpredictability. The effects of CI on green product innovation are being moderated by environmental unpredictability. Environmental uncertainty, on the other hand, does not moderate the impa...
Academics and practitioners have become more interested in big data analytics (BDA) in recent yea... more Academics and practitioners have become more interested in big data analytics (BDA) in recent years. There have been few empirical studies on the relationship between BDA and green supply chain management (GSCM), as well as the importance of environmental orientation (EO). A total of 128 responses from Jordanian industrial businesses were evaluated using the structural equation modeling method. The BDA, EO has a favorable and significant relationship with external and internal GSCM, according to the findings of this study. Furthermore, EO serves as a mediator between BDA and the external, and internal GSCM. The findings provide managerial insight into how to use BDA to establish a proactive environmental policy that covers all GSCM activities.
International Review of Management and Business Research, 2015
IntroductionNowadays companies operate in an environment characterized by increasing competition ... more IntroductionNowadays companies operate in an environment characterized by increasing competition and the rapid pace of technological change (Agbim, et al., 2013). Companies need to renew themselves, as they face many challenges such as providing new products and services, and changing nature of the management within organizations. This change requires synergy creation between technology, organizational structures, processes, and practices to generate competitive advantage (Teece, 2007). Organizations are seeking to improve their administrative goals and methods, in accordance with its environmental conditions, by modifying the organizational structures in line with technology. Given that technology progress is accelerating, the subject of technology impact on organizational structure occupies a growing interest (Vaccaro, et al., 2012). The role of top management appears to be crucial in achieving synergy between the activities and operations in the organization, because top manageme...
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