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Article
Publication date: 27 September 2022

Aamna Tariq, Jawad Manzoor, Muhammad Ammar Aziz, Zain Ul Abideen Tariq and Ammar Masood

The security of applications, systems and networks has always been the source of great concern for both enterprises and common users. Different security tools like intrusion…

1016

Abstract

Purpose

The security of applications, systems and networks has always been the source of great concern for both enterprises and common users. Different security tools like intrusion detection system/intrusion prevention system and firewalls are available that provide preventive security to the enterprise networks. However, security information and event management (SIEM) systems use these tools in combination to collect events from diverse data sources across the network. SIEM is a proactive tool that processes the events to present a unified security view of the whole network at one location. SIEM system has, therefore, become an essential component of an enterprise network security architecture. However, from various options available, the selection of a suitable and cost-effective open source SIEM solution that can effectively meet most of the security requirements of small-to-medium-sized enterprises (SMEs) is not simple because of the lack of strong analysis.

Design/methodology/approach

In this work, the authors first review the security challenges faced by different SME sectors and then consider a comprehensive comparative analysis of the capabilities of well-known open source SIEM solutions. Based on this, the authors provide requirements based recommendations of open source SIEM solutions for SMEs. This paper aims to provide a valuable resource that can be referred to by SMEs for the selection of a SIEM system best suited to their organization’s security posture.

Findings

Security requirements of SMEs vary according to their network infrastructure; therefore, every open source SIEM solution would not be suitable for an SME. Selection of a SIEM solution from available open source solutions based upon the security requirements of an SME network is a critical task. Therefore, in this work, a meaningful insight for the selection of an appropriate SIEM solution for SMEs is provided.

Originality/value

Major contribution of this work is the mapping of the security requirements of the SME sectors under consideration, against the open source SIEM options to provide meaningful insight for SMEs in the selection of an appropriate solution.

Details

Information & Computer Security, vol. 31 no. 1
Type: Research Article
ISSN: 2056-4961

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Article
Publication date: 25 October 2021

Yanen Wang, Ray Tahir Mushtaq, Ammar Ahmed, Ammar Ahmed, Mudassar Rehman, Mudassar Rehman, Aqib Mashood Khan, Shubham Sharma, Dr Kashif Ishfaq, Haider Ali and Thierno Gueye

Additive manufacturing (AM) technology has a huge influence on the real world because of its ability to manufacture massively complicated geometrics. The purpose of this study is…

485

Abstract

Purpose

Additive manufacturing (AM) technology has a huge influence on the real world because of its ability to manufacture massively complicated geometrics. The purpose of this study is to use CiteSpace (CS) visual analysis to identify fused deposition modeling (FDM) research and development patterns to guide researchers to decide future research and provide a framework for corporations and organizations to prepare for the development in the rapid prototyping industry. Three-dimensional printing (3DP) is defined to budget minimize manufactured input and output for aviation and the medical product industrial sectors. 3DP has implemented its potential in the Coronavirus Disease of 2019 (COVID-19) reaction.

Design/methodology/approach

First, 396 original publications were extracted from the web of science (WOS) with the comprehensive list and did scientometrics analysis in CS software. The parameters are specified in CS including the span (from 2011 to 2019, one year slice for the co-authorship and the co-accordance analysis), visualization (show the merged networks), specific criteria for selection (top 20%), node form (author, organization, region, reference cited; cited author, journal and keywords) and pruning (pathfinder and slicing network). Finally, correlating data was studied and showed the results of the visualization study of FDM research were shown.

Findings

The framework of FDM information is beginning to take shape. About hot research topics, there are “Morphology,” “Tensile Property by making Blends,” “Use of Carbon nanotube in 3DP” and “Topology optimization.” Regarding the latest research frontiers of FDM printing, there are “Fused Filament Fabrication,” “AM,” in FDM printing. Where “Post-processing” and “environmental impact” are the research hotspots in FDM printing. These research results can provide insight into FDM printing and useful information to consider the existing studies and developments in FDM researchers’ analysis.

Research limitations/implications

Despite some important obtained results through FDM-related publications’ visualization, some deficiencies remain in this research. With >99% of articles written in English, the input data for CS was all downloaded from WOS databases, resulting in a language bias of papers in other languages and neglecting other data sources. Although, there are several challenges being faced by the FDM that limit its wide variety of applications. However, the significance of the current work concerning the technical and engineering prospects is discussed herein.

Originality/value

First, the novelty of this work lies in describing the FDM approach in a Scientometric way. In Scientometric investigation, leading writers, organizations, keywords, hot research and emerging knowledge points were explained. Second, this research has thoroughly and comprehensively examined the useful sustainability effects, i.e. economic sustainability, energy-based sustainability, environmental sustainability, of 3DP in industrial development in qualitative and quantitative aspects by 2025 from a global viewpoint. Third, this work also described the practical significance of FDM based on 3DP since COVID-19. 3DP has stepped up as a vital technology to support improved healthcare and other general response to emergency situations.

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Article
Publication date: 31 May 2022

Mohammed Ali Al-Awlaqi and Ammar Mohamed Aamer

Although Islamic banks offer superior financial services than other interest-based conventional banks, they could not expand their share and dominate the markets in several…

702

Abstract

Purpose

Although Islamic banks offer superior financial services than other interest-based conventional banks, they could not expand their share and dominate the markets in several Islamic countries. This problem could be attributed to some causes not addressed. The current study proposes Islamic financial literacy as an important factor that could help aggress this problem. Due to a wide variety of Islamic financial services and the lack of understanding of these services, the banks' small business customers are indifferent between Islamic and interested-based conventional services to finance their business.

Design/methodology/approach

This study uses the exploratory technique of multiple correspondence analysis to detect any potential role of Islamic financial literacy in customers' preference for Islamic banks over conventional ones. The potential effect was tested with other essential factors, such as the customers' age, gender, and educational level. This analysis was conducted on a data set from 2061 banks' small businesses customers using the mall-intercept survey method.

Findings

The study shows a low level of Islamic financial literacy among Yemeni banks' small business owners' customers. Furthermore, despite integrating some critical factors that could influence the actual bank selection process among Yemini banks' customers, the authors found a decisive potential role of Islamic financial literacy as one of the key determinants of bank selection preferences.

Originality/value

This is the first paper to explore the potential role of Islamic financial literacy on the actual selection between Islamic Banks and their counterparts: the conventional banks in Yemen. The research results could build a more comprehensive theoretical model on Islamic banks' customer behavior.

Details

International Journal of Emerging Markets, vol. 18 no. 12
Type: Research Article
ISSN: 1746-8809

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Article
Publication date: 12 October 2021

Jiju Antony, Michael Sony, Olivia McDermott, Sandy Furterer and Matthew Pepper

Industry 4.0 is a new trend among organizations. Some organizations have been early adopters or later adopters of Industry 4.0. The purpose of this paper is to investigate how…

1173

Abstract

Purpose

Industry 4.0 is a new trend among organizations. Some organizations have been early adopters or later adopters of Industry 4.0. The purpose of this paper is to investigate how performance effects vary between early and late adopters of Industry 4.0.

Design/methodology/approach

This study applies a qualitative research methodology using grounded theory. 14 senior management professionals who have implemented Industry 4.0 participated in this study through a theoretical and snowball sampling approach. These professionals were from manufacturing and service sectors, from North America, Europe and Asia. The study used semi structured open-ended interviews to capture the organizational performance on operational, financial, environmental and social dimensions.

Findings

The findings were analyzed in terms of four broad themes which emerged from the interviews. In operational performance the operational and implementation cost will be higher for early adopters. The late adopters may enjoy the advantage in terms of improved business models. In terms of financial performance, the early adopters may see a marginal increase in profit and increased stock price compared to late adopters. The performance on the environmental dimension will see early adopters enjoying material efficiency, energy savings and an improved image of the company compared to late adopters. In social performance, the early adopters will provide a better quality of work life, safer manufacturing environment. However, the resistance from labor unions will be higher for early adopters compared to late adopters.

Practical implications

Organizations must decide the timing of implementation of Industry 4.0. This study will act as a guide wherein they can decide to be an early adopter or late adopter based on knowledge of the resulting performance consequences.

Originality/value

This is the first paper that studies the performance effects of early versus late adopters of Industry 4.0.

Details

International Journal of Quality & Reliability Management, vol. 40 no. 1
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 7 November 2023

Panitas Sureeyatanapas, Danai Pancharoen and Khwantri Saengprachatanarug

Industry 4.0 is recognised as a competitive strategy that helps implementers optimise their value chain. However, its adoption poses several challenges. This study investigates…

245

Abstract

Purpose

Industry 4.0 is recognised as a competitive strategy that helps implementers optimise their value chain. However, its adoption poses several challenges. This study investigates and ranks the drivers and barriers to implementing Industry 4.0 in the Thai sugar industry, the world's second-largest sugar exporter. It also evaluates the industry's readiness for Industry 4.0.

Design/methodology/approach

The drivers and impediments were identified based on a systematic literature review (SLR) and further investigated using a questionnaire, expert interviews, Pearson's correlation and nonparametric statistical analyses. The IMPULS model was used to assess the industry's readiness.

Findings

Most companies expect to minimise costs, develop employees and improve various elements of operational performance and data tracking capability. Thai sugar producers are still at a low readiness level to deploy Industry 4.0. High investment is the major challenge. Small businesses struggle to hire competent employees, collaborate with a highly credible technology provider and adapt to new solutions.

Practical implications

The findings can serve as a benchmark or guide for sugar manufacturers and companies in other sectors, where Industry 4.0 technologies are not yet widely utilised, to overcome existing roadblocks and make strategic decisions. They can also assist governments in developing policies that foster digital transformation and increase national competitiveness.

Originality/value

There is a scarcity of research on Industry 4.0 execution in the sugar industry. This study addresses this gap by investigating the reasons for the hesitancy of sugar producers to pursue Industry 4.0 and proposing solutions.

Details

Benchmarking: An International Journal, vol. 31 no. 10
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 21 March 2016

Yicha Zhang, Alain Bernard, Ravi Kumar Gupta and Ramy Harik

The purpose of this paper is to present research work based on the authors’ conceptual framework reported in the VRAP Conference 2013. It is related with an efficient method to…

1374

Abstract

Purpose

The purpose of this paper is to present research work based on the authors’ conceptual framework reported in the VRAP Conference 2013. It is related with an efficient method to obtain an optimal part build orientation for additive manufacturing (AM) by using AM features with associated AM production knowledge and multi-attribute decision-making (MADM). The paper also emphasizes the importance of AM feature and the implied AM knowledge in AM process planning.

Design/methodology/approach

To solve the orientation problem in AM, two sub-tasks, the generation of a set of alternative orientations and the identification of an optimal one within the generated list, should be accomplished. In this paper, AM feature is defined and associated with AM production knowledge to be used for generating a set of alternative orientations. Key attributes for the decision-making of the orientation problem are then identified and used to represent those generated orientations. Finally, an integrated MADM model is adopted to find out the optimal orientation among the generated alternative orientations.

Findings

The proposed method to find out an optimal part build orientation for those parts with simple or medium complex geometric shapes is reasonable and efficient. It also has the potential to deal with more complex parts with cellular or porous structures in a short time by using high-performance computers.

Research limitations/implications

The proposed method is a proof-of-concept. There is a need to investigate AM feature types and the association with related AM production knowledge further so as to suite the context of orientating parts with more complex geometric features. There are also research opportunities for developing more advanced algorithms to recognize AM features and generate alternative orientations and refine alternative orientations.

Originality/value

AM feature is defined and introduced to the orientation problem in AM for generating the alternative orientations. It is also used as one of the key attributes for decision-making so as to help express production requirements on specific geometric features of a desired part.

Details

Rapid Prototyping Journal, vol. 22 no. 2
Type: Research Article
ISSN: 1355-2546

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Article
Publication date: 18 January 2024

Arish Ibrahim and Gulshan Kumar

This study aims to explore the integration of Industry 4.0 technologies with lean six sigma practices in the manufacturing sector for enhanced process improvement.

541

Abstract

Purpose

This study aims to explore the integration of Industry 4.0 technologies with lean six sigma practices in the manufacturing sector for enhanced process improvement.

Design/methodology/approach

This study used a fuzzy decision-making trial and evaluation laboratory approach to identify critical Industry 4.0 technologies that can be harmonized with Lean Six Sigma methodologies for achieving improved processes in manufacturing.

Findings

The research reveals that key technologies such as modeling and simulation, artificial intelligence (AI) and machine learning, big data analytics, automation and industrial robots and smart sensors are paramount for achieving operational excellence when integrated with Lean Six Sigma.

Research limitations/implications

The study is limited to the identification of pivotal Industry 4.0 technologies for Lean Six Sigma integration in manufacturing. Further studies can explore the implementation challenges and the quantifiable benefits of such integrations.

Practical implications

Integrating Industry 4.0 technologies with Lean Six Sigma enhances manufacturing efficiency. This approach leverages AI for predictive analysis, uses smart sensors for energy efficiency and adaptable robots for flexible production. It is vital for competitive advantage, significantly improving decision-making, reducing costs and streamlining operations in the manufacturing sector.

Social implications

The integration of Industry 4.0 technologies with Lean Six Sigma in manufacturing has significant social implications. It promotes job creation in high-tech sectors, necessitating advanced skill development and continuous learning among the workforce. This shift fosters an innovative, knowledge-based economy, potentially reducing the skills gap. Additionally, it enhances workplace safety through automation, reduces hazardous tasks for workers and contributes to environmental sustainability by optimizing resource use and reducing waste in manufacturing processes.

Originality/value

This study offers a novel perspective on synergizing advanced Industry 4.0 technologies with established Lean Six Sigma practices for enhanced process improvement in manufacturing. The findings can guide industries in prioritizing their technological adoptions for continuous improvement.

Details

International Journal of Lean Six Sigma, vol. 15 no. 5
Type: Research Article
ISSN: 2040-4166

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Article
Publication date: 11 December 2017

Muhammad Aqeel, Ammar Ahmed and Tanvir Akhtar

The purpose of this paper is to investigate the mediating role of psychological problems (stress, anxiety, depression) between hearing impairment (HI) and tinnitus in tinnitus…

107

Abstract

Purpose

The purpose of this paper is to investigate the mediating role of psychological problems (stress, anxiety, depression) between hearing impairment (HI) and tinnitus in tinnitus patients. Sample comprised of 110 patients (male, n=70; female, n=40).

Design/methodology/approach

The purposive sampling technique was used based on correlational design. Two scales, tinnitus handicap inventory developed by Newman et al. (1996), and depression, anxiety and stress scale developed by Lovibond and Lovibond (1995), were employed to assess tinnitus, anxiety, stress and depression among tinnitus patients.

Findings

The study revealed that tinnitus was positively significant correlated with depression (r=0.55, p<0.001), anxiety (r=0.63, p<0.001), stress (r=0.54, p<0.001) and hearing loss (r=0.81, p<0.001). The results also revealed that hearing loss was positively significant predictor for tinnitus (β=20.72, p<0.001). Further, it was revealed that tinnitus was positively significant predicted by anxiety (β=2.62, p<0.001), stress (β=2.33, p<0.001) and depression (β=2.71, p<0.001); the interaction between psychological symptoms and hearing loss was negatively significant predictor for stress (β=−0.51, p<0.001), anxiety (β=−0.57, p<0.001) and depression (β=−0.62, p<0.001). Moreover, it was revealed that female tinnitus patients were more predisposed to stress, anxiety and depression as compared to male tinnitus patients. Results also elaborated that those tinnitus patient who had profound HI were less inclined toward psychological problems as compared to those tinnitus patients who had mild to moderate level of HI. This study would be helpful for the clinical setting to tackle the psychological problems of tinnitus patients.

Research limitations/implications

This study consisted on population from urban cities of Pakistan; therefore, the findings cannot be generalized on overall population. In future, descriptive as well as experimental studies will be beneficial to describe the mechanism of tinnitus across gender in detail. Native tool for measuring gender-related problems would be effective in future as it integrates cultural aspects as well.

Originality/value

There is a consensus across researchers that tinnitus is one of the most important biological problem which initiates various other psychological problem (Minen et al., 2014; Vogel et al., 2014). Numerous studies have been conducted to find out the relationship of tinnitus with various psychological and biological factors (Boi et al., 2012; Li et al., 2014; Marciano et al., 2003; McCormack et al., 2015; Møller et al., 2010; Udupi et al., 2013; Zöger et al., 2006).

Details

International Journal of Human Rights in Healthcare, vol. 10 no. 5
Type: Research Article
ISSN: 2056-4902

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Article
Publication date: 30 August 2024

Alba Manresa, Ammar Sammour, Marta Mas-Machuca, Weifeng Chen and David Botchie

This paper seeks to explore the influence of generative artificial intelligence (GenAI) on employee performance in the workplace, viewed from a managerial perspective. It…

781

Abstract

Purpose

This paper seeks to explore the influence of generative artificial intelligence (GenAI) on employee performance in the workplace, viewed from a managerial perspective. It concentrates on key elements such as employee engagement, trust in GenAI and attitudes toward its implementation. This exploration is motivated by the ongoing evolution of GenAI, which presents managers with the crucial task of understanding and integrating this technology into their strategic frameworks.

Design/methodology/approach

We collected 251 responses from managers and senior managers representing companies that have embraced GenAI in Spain. A hierarchical regression analysis was employed to examine the hypotheses. Subsequently, mediating effects and moderated mediation effects were scrutinized using the bias-corrected bootstrapping method.

Findings

The data analysis suggests a significant enhancement in employee engagement and performance from a managerial perspective, attributed to improved attitudes and trust toward the adoption of GenAI. This conclusion is drawn from our research conducted with samples collected in Spain. Notably, our findings indicate that while positive attitudes toward GenAI correlate with enhanced engagement and performance, there exists a weakening effect on the significant positive impact of GenAI adoption in the workplace. This suggests that GenAI is still in its early stages of adoption within these companies, necessitating additional time for managers to develop greater confidence in its efficacy.

Originality/value

This study represents one of the pioneering investigations centered on the implementation of GenAI within the workplace context. It contributes significantly to the existing body of literature concerning the stimulus-organism-response (S-O-R) model in technology innovation adoption within work environments.

Details

Journal of Managerial Psychology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0268-3946

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Article
Publication date: 12 April 2022

Hildemar Dos Santos, Diane Han, Mayabel Perez, Summer Johnson and Razaz Shaheen

To gain a better and more comprehensive understanding, this study aims to investigate the literature to explore the two popular diets’ health benefits and concerns. Google Scholar…

532

Abstract

Purpose

To gain a better and more comprehensive understanding, this study aims to investigate the literature to explore the two popular diets’ health benefits and concerns. Google Scholar and PubMed were used to search for available and relevant nutrition and health articles that pertain to the benefits and concerns of plantogenic and ketogenic diets. Search terms like low carbohydrate, diet, ketogenic, vegetarian and chronic diseases were used. Information was obtained from review articles and original research articles and checked for accuracy. Ketogenic diets have been used for a long time for convulsion in children and now reappeared for weight loss purposes.

Design/methodology/approach

Ketogenic and plantogenic (plant-based) diets have been adopted today by many professionals and the public.

Findings

Ketogenic diets have been used for a long time for convulsion in children and now reappeared for weight loss purposes. Plantogenic diets also have been practiced for many years for religious, health and environmental reasons. Compared to plantogenic diets, ketogenic diets lack long-term evidence of its potential benefits and harm.

Research limitations/implications

Maybe Lacto-ovo vegetarian and pesco-vegetarian (eat fish but not meats) diets are OK. However, for strict plantogenic diets (total plantogenic/vegan diet), the risk of mineral or vitamin deficiency is present (Melina et al., 2016). Of particular concern is dietary vitamin B12, which is obtained mostly from animal sources (Melina et al., 2016). A long-term deficiency of vitamin B12 can lead to macrocytic anemia and cause neuro and psychological effects (Obeid et al., 2019). Also, omega-3 fatty acids may be deficient in such a diet and probably need to be supplemented on those who follow the total plantogenic diet (Melina et al., 2016). Other deficiencies of concern would be zinc, iron, calcium, vitamin D and iodine (Melina et al., 2016). Another disadvantage is that many junk foods could be easily classified within the plantogenic diet, such as sugar, cakes, French fries, white bread and rice, sugar-sweetened beverages and sweets in general. These items are related to higher weight gain and, consequently, to a higher incidence of diabetes and other chronic diseases (Schulze et al., 2004; Malik et al., 2006; Fung et al., 2009).

Originality/value

Plantogenic diets were concluded to have sustainable health benefits for humans and the environment over ketogenic diets, which could be used but under professional follow-up only.

Details

Nutrition & Food Science , vol. 53 no. 1
Type: Research Article
ISSN: 0034-6659

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