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Article
Publication date: 21 August 2024

Muhammad Yousuf Rafiq, Ayesha Sabeen, Aqeel ur Rehman and Zaheer Abbas

The hybrid nanofluid flow due to a rotating disk has numerous applications, including centrifugal pumps, paper production, polymers dying, air filtration systems, automobile…

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Abstract

Purpose

The hybrid nanofluid flow due to a rotating disk has numerous applications, including centrifugal pumps, paper production, polymers dying, air filtration systems, automobile cooling and solar collectors. This study aims to investigate the convective heat transport and magnetohydrodynamics (MHD) hybrid nanofluid flow past a stretchable rotating surface using the Yamada-Ota and Xue models with the impacts of heat generation and thermal radiation.

Design/methodology/approach

The carbon nanotubes such as single-wall carbon nanotubes and multi-wall carbon nanotubes are suspended in a base fluid like water to make the hybrid nanofluid. The problem’s governing partial differential equations are transformed into a system of ordinary differential equations using similarity transformations. Then, the numerical solutions are found with a bvp4c function in MATLAB software. The impacts of pertinent parameters on the flow and temperature fields are depicted in tables and graphs.

Findings

Two solution branches are discovered in a certain range of unsteadiness parameters. The fluid temperature and the rate of heat transport are enhanced when the thermal radiation and heat generation effects are increased. The Yamada-Ota model has a higher temperature than the Xue model. Furthermore, it is observed that only the first solution remains stable when the stability analysis is implemented.

Originality/value

To the best of the authors’ knowledge, the results stated are original and new with the investigation of MHD hybrid nanofluid flow with convective heat transfer using the extended version of Yamada-Ota and Xue models. Moreover, the novelty of the present study is improved by taking the impacts of heat generation and thermal radiation.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 34 no. 10
Type: Research Article
ISSN: 0961-5539

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Intelligent Agriculture
Type: Book
ISBN: 978-1-78973-843-8

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Book part
Publication date: 10 June 2019

Gonzalo Maldonado-Guzmán, Jose Arturo Garza-Reyes and Lizeth Itziguery Solano-Romo

Abstract

Details

Intelligent Agriculture
Type: Book
ISBN: 978-1-78973-843-8

Available. Open Access. Open Access
Article
Publication date: 25 November 2022

Pakorn Opasvitayarux, Siri-on Setamanit, Nuttapol Assarut and Krisana Visamitanan

The introduction of quality management Internet of things (QM IoT) can help food supply chain members to enhance real-time visibility, quality, safety and efficiency of products…

3786

Abstract

Purpose

The introduction of quality management Internet of things (QM IoT) can help food supply chain members to enhance real-time visibility, quality, safety and efficiency of products and processes. Current literature indicates three main research gaps, including a lack of studies in QM IoT in the food supply chain, the vagueness of integrative adoption of new technology framework and deficient research covering both adoption attitude and intention in the same model. This study aims to propose an analysis model based on the technological–organizational–environmental (TOE) framework and reinforced by the collaborative structure to capture the importance of the supply chain network.

Design/methodology/approach

The partial least square-structural equation modeling (PLS-SEM) was applied to test the impacts of the adoption factors on QM IoT adoption attitude and intention among 197 respondents in food manufacturing in Thailand.

Findings

The results indicated that compatibility, trialability, adaptive capacity, innovative capability, executive support, value chain partner pressure, presence of service provider and information sharing significantly impacted the attitude toward QM IoT adoption, while adaptive capability, innovative capability and information sharing directly influenced the QM IoT adoption intention. Furthermore, the attitude toward QM IoT adoption positively impacted the QM IoT adoption intention.

Practical implications

This study contributed to academicians by proposing a more solid adoption framework for QM IoT area. In addition, the business practitioners could actively prepare themselves for the QM IoT adoption, whereas the service providers could provide better and suitable service.

Originality/value

This research contributes to the building of a more solid framework and indicates significant factors that impact the attitude toward QM IoT adoption and adoption intention.

Details

Journal of International Logistics and Trade, vol. 20 no. 3
Type: Research Article
ISSN: 1738-2122

Keywords

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Book part
Publication date: 10 February 2023

Pinki Paul and Balgopal Singh

Introduction: Healthcare facilities have witnessed deterioration, limited employee engagement, and communication gaps due to a lack of wireless technology. The Internet makes work…

Abstract

Introduction: Healthcare facilities have witnessed deterioration, limited employee engagement, and communication gaps due to a lack of wireless technology. The Internet makes work and life quicker and more intelligent. The Internet of Things (IoT) is a scheme of interconnection equipped with unique identifiers in recent years. Artificial intelligence (AI) and IoT advancement allow employees to develop competent and predictive services and solutions in human resource (HR) practices. This chapter has been formulated to summarise and classify the existing research and better understand the past, present, and future of employee engagement by improving IoT interrelated devices in the healthcare industry.

Purpose: This study aims to categorise and overcome the challenges involved in HR practices. Effectively embracing IoT application-connected devices in the healthcare industry can enhance human resources management’s (HRM) role and measure performance assessment to improve employee engagement and productivity.

Methodology: In this study, the authors develop propositions dependent on a theory-based review. A systematic analysis was applied to minimise the challenges of HRM. The subject-related articles from different journal sources, like Scopus, Emerald, Web of Science, Springer, etc., were analysed based on engagement criteria. It was graphically recorded in a collective and informative way to emphasise the review outcomes. The study has presented the positive impacts of AI and IoT on engagement in health care.

Summary: This chapter accumulated theory-based knowledge about healthcare employee engagement and how IoT-based technology like AI can optimise employees’ engagement effectively. Further, it draws comparative benefits for a workforce to execute performance advancements and create future progressive aspects for healthcare employees.

Details

The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part A
Type: Book
ISBN: 978-1-80382-027-9

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Book part
Publication date: 10 June 2019

Gonzalo Maldonado-Guzmán, Jose Arturo Garza-Reyes and Lizeth Itziguery Solano-Romo

Abstract

Details

Intelligent Agriculture
Type: Book
ISBN: 978-1-78973-843-8

Available. Open Access. Open Access
Article
Publication date: 14 April 2023

Alebachew Destaw Belay, Wuletaw Mekuria Kebede and Sisay Yehuala Golla

This study aims to examine determinants of farmers’ use of climate-smart agricultural practices, specifically improved crop varieties, intercropping, improved livestock breeds and…

3298

Abstract

Purpose

This study aims to examine determinants of farmers’ use of climate-smart agricultural practices, specifically improved crop varieties, intercropping, improved livestock breeds and rainwater harvesting in Wadla district, northeast Ethiopia.

Design/methodology/approach

A cross-sectional household survey was used. A structured interview schedule for respondent households and checklists for key informants and focus group discussants were used. This study used both descriptive statistics and a multivariate probit econometric model to analyze the collected data. The model was used to compute factors influencing the use of climate-smart agricultural practices in the study area.

Findings

The results revealed that households adopted selected practices. The likelihood of farmers’ decisions to use improved crop varieties, intercropping, improved livestock breeds and rainwater harvesting was 85%, 52%, 69% and 59%, respectively. The joint probability of using these climate-smart agricultural practices was 23.7%. The model results confirmed that sex, level of education, livestock holding, access to credit, farm distance, market distance and training were significant factors that affected the use of climate-smart agricultural practices in the study area.

Originality/value

The present study used the most selected locally practiced interventions for climate-smart agriculture.

Details

International Journal of Climate Change Strategies and Management, vol. 15 no. 5
Type: Research Article
ISSN: 1756-8692

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Article
Publication date: 14 May 2019

Ahsan Mahmood, Hikmat Ullah Khan, Zahoor Ur Rehman, Khalid Iqbal and Ch. Muhmmad Shahzad Faisal

The purpose of this research study is to extract and identify named entities from Hadith literature. Named entity recognition (NER) refers to the identification of the named…

257

Abstract

Purpose

The purpose of this research study is to extract and identify named entities from Hadith literature. Named entity recognition (NER) refers to the identification of the named entities in a computer readable text having an annotation of categorization tags for information extraction. NER is an active research area in information management and information retrieval systems. NER serves as a baseline for machines to understand the context of a given content and helps in knowledge extraction. Although NER is considered as a solved task in major languages such as English, in languages such as Urdu, NER is still a challenging task. Moreover, NER depends on the language and domain of study; thus, it is gaining the attention of researchers in different domains.

Design/methodology/approach

This paper proposes a knowledge extraction framework using finite-state transducers (FSTs) – KEFST – to extract the named entities. KEFST consists of five steps: content extraction, tokenization, part of speech tagging, multi-word detection and NER. An extensive empirical analysis using the data corpus of Urdu translation of Sahih Al-Bukhari, a widely known hadith book, reveals that the proposed method effectively recognizes the entities to obtain better results.

Findings

The significant performance in terms of f-measure, precision and recall validates that the proposed model outperforms the existing methods for NER in the relevant literature.

Originality/value

This research is novel in this regard that no previous work is proposed in the Urdu language to extract named entities using FSTs and no previous work is proposed for Urdu hadith data NER.

Details

The Electronic Library , vol. 37 no. 2
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 5 July 2022

Muhammad Ahad, Saqib Farid and Zaheer Anwer

In the presence of informal sector in the country, designing an energy policy and the pursuit of higher economic growth become challenging for emerging economies. These economies…

234

Abstract

Purpose

In the presence of informal sector in the country, designing an energy policy and the pursuit of higher economic growth become challenging for emerging economies. These economies are usually resource starved, and the presence of underground economy leads to faulty estimates of energy demand. The authors explore the energy–growth nexus in the presence of underground economy for Pakistan, an emerging economy host to large informal sector and facing recurring energy crises.

Design/methodology/approach

The authors evaluate the impact of underground economy on energy demand in the presence of explanatory variables, including official gross domestic product (GDP), foreign direct investment and financial development. The authors first assess the influence of official economy on the consumption of energy. The authors investigate how energy consumption is influenced solely by underground economy. Finally, the authors evaluate the impact of true GDP on the energy consumption. The authors employ combined cointegration method of Bayer and Hanck (2013) and then apply vector error correction model.

Findings

The results reveal that official GDP, underground economy and true GDP positively and significantly affect energy consumption in both short and long run. Similarly, financial development as well as foreign direct investment enhance energy consumption. The authors find unidirectional causality between energy consumption and official GDP variables (OGDP → EC), underground economy (UE → EC) and true GDP variables (TGDP → EC) in the long run. The authors observe bidirectional causality in the short run between energy consumption and official GDP (OGDP ↔ EC) and true GDP (TGDP ↔ EC).

Originality/value

To the best of the authors' knowledge, no study examines the causal relationship of energy consumption and underground economy. Overall, the findings assist policymakers to consider and implement different energy-related policies considering the significant role of underground economy for energy consumption in Pakistan.

Details

International Journal of Emerging Markets, vol. 19 no. 2
Type: Research Article
ISSN: 1746-8809

Keywords

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Article
Publication date: 14 May 2020

Dipa Mulia, Hardius Usman and Novia Budi Parwanto

The purposes of this study are to develop an extended technology acceptance model (TAM) model by adding customer intimacy, perceived risk, trust and Sharia compliance as external…

2681

Abstract

Purpose

The purposes of this study are to develop an extended technology acceptance model (TAM) model by adding customer intimacy, perceived risk, trust and Sharia compliance as external variables, in which TAM is used as the evaluation method for the use of e-banking and m-banking by customers of Islamic bank; and to study the role of customer intimacy in increasing satisfaction and encouraging loyalty of Islamic bank customers in using e-banking and m-banking.

Design/methodology/approach

Data collection is carried out by the self-administered survey method with Islamic bank customers as target population. Multivariate analysis of variance and multiple linear regression are applied for data analysis.

Findings

Customer intimacy not only encourages the emergence of customer loyalty directly, but also affects the factors that determine customer loyalty itself, such as perceived usefulness, perceived ease of use, perceived risk, trust, sharia compliance and satisfaction. In other words, customer intimacy has a direct and indirect influence on loyalty.

Originality/value

This paper offers an extended TAM constructs to study the role of customer intimacy in increasing loyalty by considering various variables, namely, perceived risk, trust, Sharia compliance and satisfaction. Similar research is still very limited in the banking marketing literature, especially in Islamic banks context.

Details

Journal of Islamic Marketing, vol. 12 no. 6
Type: Research Article
ISSN: 1759-0833

Keywords

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