Nor Aini Ali, Wan Marhaini Wan Ahmad, Suhaili Sarif, Nor ‘Azzah Kamri and Raihanah Azahari
Purpose – This chapter examines the application of the concept of maslahah in household debt management.Methodology/approach – A combination of quantitative and qualitative…
Abstract
Purpose – This chapter examines the application of the concept of maslahah in household debt management.
Methodology/approach – A combination of quantitative and qualitative approaches is employed. Questionnaires were used for data collection.
Findings – Malaysian Muslims become indebted for four main purposes: buying their first car, their first home, helping family members, and financing their studies. Thus, Muslims principally borrow funds to fulfil their dharuriyyat (essentials) and hajiyyat (complementary) needs, and in some cases, they borrow for tahsiniyyat (luxury) purposes.
Research limitation/implications – The respondents of this research are working Muslims in the Klang Valley, Kuala Lumpur, Malaysia.
Practical implication – This study helps Islamic finance institutions to develop better products to offer customers. Its results can also give a real picture about borrowing activities to the Credit Counselling and Debt Management Agency.
Originality/value – Prior studies have mainly examined household debt management. This study surveys local Muslims’ household borrowing pattern to understand the nature of personal debt management and then analyses these data against the concept of maslahah. This will enrich the currently available literature.
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J. Ahmad, H. Larijani, R. Emmanuel, M. Mannion and A. Javed
Buildings use approximately 40% of global energy and are responsible for almost a third of the worldwide greenhouse gas emissions. They also utilise about 60% of the world’s…
Abstract
Buildings use approximately 40% of global energy and are responsible for almost a third of the worldwide greenhouse gas emissions. They also utilise about 60% of the world’s electricity. In the last decade, stringent building regulations have led to significant improvements in the quality of the thermal characteristics of many building envelopes. However, similar considerations have not been paid to the number and activities of occupants in a building, which play an increasingly important role in energy consumption, optimisation processes, and indoor air quality. More than 50% of the energy consumption could be saved in Demand Controlled Ventilation (DCV) if accurate information about the number of occupants is readily available (Mysen et al., 2005). But due to privacy concerns, designing a precise occupancy sensing/counting system is a highly challenging task. While several studies count the number of occupants in rooms/zones for the optimisation of energy consumption, insufficient information is available on the comparison, analysis and pros and cons of these occupancy estimation techniques. This paper provides a review of occupancy measurement techniques and also discusses research trends and challenges. Additionally, a novel privacy preserved occupancy monitoring solution is also proposed in this paper. Security analyses of the proposed scheme reveal that the new occupancy monitoring system is privacy preserved compared to other traditional schemes.
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Mou’ad A. Tarawneh, Adilah Mat Ali, Sahrim Hj Ahmad and L.J. Yu
The purpose of this paper is to study the effects of multi-walled carbon nanotubes (MWCNTs) loading on the thermal conductivity of nanocomposites.
Abstract
Purpose
The purpose of this paper is to study the effects of multi-walled carbon nanotubes (MWCNTs) loading on the thermal conductivity of nanocomposites.
Design/methodology/approach
In this paper, the polymer nanocomposite of MWCNT nanoparticles incorporated with PLA and LNR as compatibilizer were prepared via melt blending method.
Findings
The result has shown that the sample with 3.5 wt.% of MWCNT content provided higher thermal conductivity which is believed to be the optimum loading that formed the suitable percolated network for phonon conduction facilitation because of better dispersion in the PLA/LNR matrix as confirmed by SEM micrograph.
Originality/value
Thermal conductivity of polylactic acid (PLA)/liquid natural rubber (LNR) matrix improved with MWCNT.
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Oussama Saoula, Muhammad Farrukh Abid, Munawar Javed Ahmad, Amjad Shamim, Ataul Karim Patwary and Maha Mohammed Yusr
It is widely evident that trust and commitment are important pillars for strengthening the relationship between financial service firms and their customers. However, it has not…
Abstract
Purpose
It is widely evident that trust and commitment are important pillars for strengthening the relationship between financial service firms and their customers. However, it has not been explored how the service quality, perceived cost and role of agents are important for financial service firms. To overcome this gap, this study aims to investigate the role of service quality, perceived cost and the role of agents as the commitment–trust factors in the financial insurance service (Takaful) in Malaysia, enhancing customer satisfaction.
Design/methodology/approach
The study follows a quantitative design in which primary data was collected using a survey instrument. The measurement instrument was adapted from the previous research, and data were collected from 264 customers of the Takaful financial service organizations in Malaysia. The data were analyzed using variance-based structural equational modeling in Smart-PLS software.
Findings
This research has revealed several useful insights that demonstrate a significant impact on service quality, perceived cost and the agents’ role in forging close relationships with their customers. Corporate image has a moderating role in relationships and has significantly impacted takaful insurance companies. The results imply that regardless of the corporate image of the financial service organizations, customers are concerned about the prices and the quality of the agents’ services.
Research limitations/implications
In this study, only the predictors such as service quality, perceived costs and agents’ roles as trust–commitment factors were examined to determine customer satisfaction. Other investigations are highly recommended, such as value co-creation in takaful, takaful customer experience and takaful trust. This study offers insights to takaful insurance companies on how to keep up a positive corporate image, which will boost their trust–commitment factors and ultimately increase customer satisfaction.
Originality/value
By presenting commitment–trust factors and company image in an identifiable framework, the current study has expanded the discussion on takaful financial insurance services. The methodology is developed and rigorously tested to gauge customer satisfaction in takaful financial service organizations’ context.
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K.V. Sheelavathy and V. Udaya Rani
Internet of Things (IoT) is a network, which provides the connection with various physical objects such as smart machines, smart home appliance and so on. The physical objects are…
Abstract
Purpose
Internet of Things (IoT) is a network, which provides the connection with various physical objects such as smart machines, smart home appliance and so on. The physical objects are allocated with a unique internet address, namely, Internet Protocol, which is used to perform the data broadcasting with the external objects using the internet. The sudden increment in the number of attacks generated by intruders, causes security-related problems in IoT devices while performing the communication. The main purpose of this paper is to develop an effective attack detection to enhance the robustness against the attackers in IoT.
Design/methodology/approach
In this research, the lasso regression algorithm is proposed along with ensemble classifier for identifying the IoT attacks. The lasso algorithm is used for the process of feature selection that modeled fewer parameters for the sparse models. The type of regression is analyzed for showing higher levels when certain parts of model selection is needed for parameter elimination. The lasso regression obtains the subset for predictors to lower the prediction error with respect to the quantitative response variable. The lasso does not impose a constraint for modeling the parameters caused the coefficients with some variables shrink as zero. The selected features are classified by using an ensemble classifier, that is important for linear and nonlinear types of data in the dataset, and the models are combined for handling these data types.
Findings
The lasso regression with ensemble classifier–based attack classification comprises distributed denial-of-service and Mirai botnet attacks which achieved an improved accuracy of 99.981% than the conventional deep neural network (DNN) methods.
Originality/value
Here, an efficient lasso regression algorithm is developed for extracting the features to perform the network anomaly detection using ensemble classifier.
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Kristína Medeková, Kristína Pompurová and Ivana Šimočková
Interest in the Electronic Word-of-Mouth (eWOM) in connection with tourism is constantly growing not only among consumers but also among theoreticians. Therefore, the objective of…
Abstract
Interest in the Electronic Word-of-Mouth (eWOM) in connection with tourism is constantly growing not only among consumers but also among theoreticians. Therefore, the objective of this chapter is to provide an overview of studies that focus on eWOM in the tourism sector using the snowball method. The article is based on a review of the literature of 60 studies that focus not only on consumer behavior in tourism and the impact of eWOM on tourism supply but also on the impact of hotel managers' responses to other consumer behavior and tourism companies. The results of the studies show that eWOM has a significant impact not only on consumer behavior but also on tourism supply. Manager responses can also strongly affect other consumer behavior in decision-making. When eWOM is distributed, consumers are influenced by their emotions, motives, and also by the websites to which they have decided to contribute. The chapter proposes further research areas for different authors.
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Bashir Tijjani, Shafiq Ur Rehman, Zachariah Peter, Ishtiaq Ahmad Bajwa and Muhammad Ajmal Khan
This study aims to examine the quantitative research productivity of International Financial Reporting Standards (IFRS) globally by using the bibliometric approach. The method was…
Abstract
Purpose
This study aims to examine the quantitative research productivity of International Financial Reporting Standards (IFRS) globally by using the bibliometric approach. The method was applied to articles indexed in the Scopus database to analyze the publication patterns, trends and research productivity of the selected papers.
Design/methodology/approach
Bibliometric analysis is applied to analyze research productivity of IFRS from 2003 to 2020. The method was applied to articles indexed in the Scopus database to analyze the publication patterns and research productivity of the selected papers.
Findings
This study finds that a good number of articles have been published on IFRS, the top five countries are the USA, UK, Australia, Germany and Canada. This clearly shows that developed markets have the highest number of publications on IFRS. This could be as a result of the early adoption of IFRS by those economies and owing to the interest of researchers in those markets. Most of the studies are quantitative in nature; this study indicates that publication on accounting standards is popular as the number of citations is significant; most of the articles have two or more authors and were published in top-ranking journals.
Practical implications
This study provides up-to-date literature on the global research productivity of IFRS; as a result, it supports the development of policies by the users of this accounting standards. The findings of this study also serve as a reference point for firms and regulators around the world. Given the thoroughness of the methodology of this study, the results make it easier to effectively identify the direction of research on the implementation of IFRS in organizations.
Originality/value
This study provides a more comprehensive bibliometric analysis on the growth of IFRS literature (2003–2020) in the Scopus database; most of the prior studies have covered relatively few areas of focus as well as a fewer number of high impact factor journals. The relevance of this finding is in uncovering different areas of IFRS research productivity globally.