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Article
Publication date: 12 March 2021

Maruf Gbadebo Salimon, Sany Mohd Mokhtar Sanuri, Olayemi Abdullateef Aliyu, Selvan Perumal and Maha Mohammed Yusr

The purpose of this study is to concurrently test the effect of cognitive absorption and perceived social presence on technology acceptance model core variables…

Abstract

Purpose

The purpose of this study is to concurrently test the effect of cognitive absorption and perceived social presence on technology acceptance model core variables, e-satisfaction and e-retention among undergraduate students of Northern Malaysian public universities.

Design/methodology/approach

To empirically test the model, the authors developed quantitative research by collecting data from 730 undergraduate students of public universities in the Northern states of Malaysia. Partial least squares–structural equation modeling was used to analyze the data.

Findings

The results of the study reveal that cognitive absorption has a direct significant and positive effect on perceived usefulness and perceived ease of use of e-learning platforms and an indirect effect on e-satisfaction and e-retention. Equally, perceived social presence has a direct positive and significant effect on perceived ease of use and an indirect effect on e-satisfaction and e-retention, while e-satisfaction positively and significantly influences electronic retention. However, perceived social presence has an insignificant effect on perceived usefulness.

Practical implications

The findings of this study provide insights to practitioners, academia and university management, policymakers, designers and marketers on how to use the selected variables to improve the e-learning systems generally, and LearningZone Moodle in particular.

Originality/value

Several studies have been conducted in the domain of electronic learning; none of them, however, concurrently linked cognitive absorption and perceived social presence with technology acceptance model core factors to predict e-satisfaction and e-retention using LearningZone Moodle. This study helps the research community to fill this gap as the literature lacks a concerted discussion concerning these variables to significantly predict e-satisfaction and e-retention in an online learning context.

Details

Journal of Systems and Information Technology, vol. 23 no. 1
Type: Research Article
ISSN: 1328-7265

Keywords

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Article
Publication date: 24 October 2021

Maha Mohammed Yusr, Sany Sanuri Mohd Mokhtar, Selvan Perumal and Maruf Gbadebo Salimon

Several strategies and processes can help companies to enhance the success rate of new products. This study aims to identify a few strategies for that purpose represented…

Abstract

Purpose

Several strategies and processes can help companies to enhance the success rate of new products. This study aims to identify a few strategies for that purpose represented by total quality management (TQM) practices, building knowledge and capabilities. Moreover, the current paper discusses the role of applying TQM practices and customer knowledge management in developing the marketing capabilities of the organizations.

Design/methodology/approach

This study is a quantitative approach where the data collected from 141 manufacturing small and medium enterprises operating in Malaysia and partial least squares technique was used to test the hypotheses.

Findings

The findings of this study highly support all the proposed hypotheses and establish marketing capabilities as a facilitator in the relationship between TQM practices, customer knowledge management and product innovation performance. However, customer knowledge management and TQM were found not to have an impact on product innovation performance.

Originality/value

The introduced model contributes to enhancing the understanding of the impact of customer knowledge on the success of product innovation performance. The model further includes TQM as a process that helps the organization get customer satisfaction information. The incorporation of these two processes will support the organization’s capabilities in the innovation field.

Details

International Journal of Innovation Science, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-2223

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Article
Publication date: 29 April 2021

Maruf Gbadebo Salimon, Sany Sanuri Mohd Mokhtar, Olayemi Abdullateef Aliyu, Maha Mohammed Yusr and Selvan Perumal

E-learning system has been widely acknowledged to have positive impacts on the learning process. Nevertheless, the intention to use it is globally low, thereby…

Abstract

Purpose

E-learning system has been widely acknowledged to have positive impacts on the learning process. Nevertheless, the intention to use it is globally low, thereby constituting puzzles to be solved. This study aims to proffer some insights to solve the puzzles.

Design/methodology/approach

The data of the study were collected through an online survey among 425 students of four private universities using interactive electronic board systems. Partial least squares structural equation modeling was used to analyze the data.

Findings

The significant results of the study reveal that system quality, information quality and teaching materials significantly influenced perceived usefulness. Technology innovativeness and information quality also significantly influenced perceived ease of use. Perceived usefulness and perceived ease of use equally influenced e-learning intention.

Originality/value

This research is one of the few studies that conceptualize a framework to study intention to use e-learning generally, and interactive electronic board in particular among four private universities using technology innovativeness, system quality, information quality, perceived usefulness, perceived ease of use and teaching materials.

Details

Journal of Applied Research in Higher Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-7003

Keywords

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Article
Publication date: 17 June 2021

Venkatesh Chapala and Polaiah Bojja

Detecting cancer from the computed tomography (CT)images of lung nodules is very challenging for radiologists. Early detection of cancer helps to provide better treatment…

Abstract

Purpose

Detecting cancer from the computed tomography (CT)images of lung nodules is very challenging for radiologists. Early detection of cancer helps to provide better treatment in advance and to enhance the recovery rate. Although a lot of research is being carried out to process clinical images, it still requires improvement to attain high reliability and accuracy. The main purpose of this paper is to achieve high accuracy in detecting and classifying the lung cancer and assisting the radiologists to detect cancer by using CT images. The CT images are collected from health-care centres and remote places through Internet of Things (IoT)-enabled platform and the image processing is carried out in the cloud servers.

Design/methodology/approach

IoT-based lung cancer detection is proposed to access the lung CT images from any remote place and to provide high accuracy in image processing. Here, the exact separation of lung nodule is performed by Otsu thresholding segmentation with the help of optimal characteristics and cuckoo search algorithm. The important features of the lung nodules are extracted by local binary pattern. From the extracted features, support vector machine (SVM) classifier is trained to recognize whether the lung nodule is malicious or non-malicious.

Findings

The proposed framework achieves 99.59% in accuracy, 99.31% in sensitivity and 71% in peak signal to noise ratio. The outcomes show that the proposed method has achieved high accuracy than other conventional methods in early detection of lung cancer.

Practical implications

The proposed algorithm is implemented and tested by using more than 500 images which are collected from public and private databases. The proposed research framework can be used to implement contextual diagnostic analysis.

Originality/value

The cancer nodules in CT images are precisely segmented by integrating the algorithms of cuckoo search and Otsu thresholding in order to classify malicious and non-malicious nodules.

Details

International Journal of Pervasive Computing and Communications, vol. 17 no. 5
Type: Research Article
ISSN: 1742-7371

Keywords

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Article
Publication date: 1 April 2014

Chhabi Ram Matawale, Saurav Datta and Siba Sankar Mahapatra

Lean manufacturing is an operational strategy oriented toward achieving the shortest possible cycle time by eliminating waste. It is derived from the Toyota Production…

Abstract

Purpose

Lean manufacturing is an operational strategy oriented toward achieving the shortest possible cycle time by eliminating waste. It is derived from the Toyota Production System and its key thrust is to increase the value-added work by eliminating waste and reducing incidental work. In today's competitive global marketplace, the concept of lean manufacturing has gained vital consciousness to all manufacturing sectors, their supply chains, and hence a logical measurement index system is indeed required in implementing leanness in practice. Such leanness estimation can help the enterprises to assess their existing leanness level and can compare different industries who are adapting this lean concept. The paper aims to discuss these issues.

Design/methodology/approach

The present work exhibits an efficient fuzzy-based leanness assessment system using generalized interval-valued (IV) trapezoidal fuzzy numbers set. The concept of “degree of similarity” between two IV fuzzy numbers has been explored here to identify ill-performing areas towards lean achievement.

Findings

The methodology described here has been found fruitful while applying for a particular industry, in India, as a case study. Apart from estimating overall lean performance metric, the model presented here can identify ill-performing areas towards lean achievement.

Originality/value

The major contributions of this work have been summarized as follows: development and implementation of an efficient decision-making procedural hierarchy to support leanness extent evaluation. An overall lean performance index evaluation platform has been introduced. Concept of generalized IV trapezoidal fuzzy numbers has been efficiently explored to facilitate this decision-making. The appraisement index system has been extended with the capability to search ill-performing areas which require future progress.

Details

Benchmarking: An International Journal, vol. 21 no. 2
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 18 October 2019

Rahul S.G. and Sharmila A.

The purpose of this study is to present a comprehensive review of the fundamental concepts and terminologies pertaining to different types of aluminium metal matrix…

Abstract

Purpose

The purpose of this study is to present a comprehensive review of the fundamental concepts and terminologies pertaining to different types of aluminium metal matrix composites, their joining techniques and challenges, friction stir welding (FSW) process, post-welding characterizations and basic control theory of FSW, followed by the discussions on the research reports in these areas.

Design/methodology/approach

Joining of aluminium metal matrix composites (Al-MMC) poses many challenges. These materials have their demanding applications in versatile domains, and hence it is essential to understand their weldability and material characteristics. FSW is a feasible choice for joining of Al-MMC over the fusion welding because of the formation of narrow heat affected zone and minimizing the formation of intermetallic compounds at weld interface. The goal in FSW is to generate enough thermal energy by friction between the workpiece and rotating tool. Heat energy is generated by mechanical interaction because of the difference in velocity between the workpiece and rotating tool. In the present work, a detailed survey is done on the above topics and an organised conceptual context is presented. A complete discussion on significance of FSW process parameters, control schemes, parameter optimization and weld quality monitoring are presented, along with the analysis on relation between the interdependent parameters.

Findings

Results from the study present the research gaps in the FSW studies for joining of the aluminium-based metal matrix composites, and they highlight further scope of studies pertaining to this domain.

Originality/value

It is observed that the survey done on FSW of Al-MMCs and their control theory give an insight into the fundamental concepts pertaining to this research area to enhance interdisciplinary technology exploration.

Details

World Journal of Engineering, vol. 16 no. 6
Type: Research Article
ISSN: 1708-5284

Keywords

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