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Military influence in Pakistan.
Pakistan's likely need for an IMF bailout.
The purpose of this study is to examine the contributing factors that affect consumer behaviour of Islamic home financing in Malaysia. The effects of perceived religiosity…
The purpose of this study is to examine the contributing factors that affect consumer behaviour of Islamic home financing in Malaysia. The effects of perceived religiosity on property, perceived Islamic debt principle and perceived maqasid on homeownership on consumer behaviour are examined. Furthermore, the effects of perceived religiosity and consumer behaviour on religious satisfaction are also investigated.
Using the theory of Islamic consumer behaviour (TiCB) as a baseline theory identified from the literature, this study proposes a conceptual model of consumer behaviour of Islamic home financing in Malaysia. Data from the 205 usable questionnaires are analysed using partial least squares (PLS).
The PLS results suggest that perceived religiosity on property, perceived Islamic debt principle and perceived maqasid on homeownership are instrumental in determining consumer behaviour, thus revealing these factors as “Islamic factors” that represent the TiCB. Furthermore, the effect of consumer behaviour on religious satisfaction is also significant, implying that good behaviour makes people happier – seeking pleasure for doing well that is blessed and approved by Allah (S.W.T).
Two limitations are available for future studies. First, this study included only Malaysians in East Malaysia, suggesting that further testing of the proposed model should be conducted across different geographies to determine the generalisability of this study’s findings. Second, this study’s contributions are narrowed down to the factors examined. These limitations, however, provide directions for further future research.
The results provide directions to bank managers to effectively manage Islamic home financing services for the benefit of their customers. Islamic home financing products tend to be used by consumers if the patronage factors investigated are considered more profoundly.
This study examines the behaviour of consumers of Islamic home financing using the proposed framework derived from TiCB.
Amid rising environmental concerns, Industry 4.0 and blockchain technology (BCT) are transforming circular economy practices and prevailing business models. Recognizing…
Amid rising environmental concerns, Industry 4.0 and blockchain technology (BCT) are transforming circular economy practices and prevailing business models. Recognizing the same, the current study examines the role of advanced technology in circular practices and their impact on eco-environmental performance, which influences organizational performance. The study collects data from 185 food processing enterprises that are located in Malaysian territories. By employing CB-SEM modeling, the study provides three key findings. First, Industry 4.0 significantly improves the circular economy practices. Second, circular economy practices help to improve firms' environmental performance but did not stimulate operational performance. Third, higher eco-environmental performance significantly boosts organizational performance. This study set out the foundations for participating countries/firms that help to achieve sustainable goals through the integration of blockchain technology in circular economy practices.
Shehbaz Sharif’s Pakistan Muslim League-Nawaz (PML-N), which governed prior to the National Assembly’s dissolution in May, has come second and Bilawal Bhutto Zardari’s…
The Pakistan Muslim League-Nawaz (PML-N)’s five-year term ended on May 31. PML-N President Shehbaz Sharif faces a tough fight to become prime minister, with the main…
Big Data can be utilised for efficient use of resources and to provide better services to the resident in order to enhance the delivery of urban services and create…
Big Data can be utilised for efficient use of resources and to provide better services to the resident in order to enhance the delivery of urban services and create sustainable build environment. However, the adoption of Big Data faces many challenges at the implementation level. Therefore, the purpose of this paper is to identify the challenges towards the efficient application of Big Data in smart cities development and analyse the inter-relationships.
The 14 Big Data challenges are identified through the literature review and validated with the expert’s feedback. After that the inter-relationships among the identified challenges are developed using an integrated approach of fuzzy Interpretive Structural Modelling (fuzzy-ISM) and fuzzy Decision-Making Trial and Evaluation Laboratory (fuzzy-DEMATEL).
Evaluation of interrelationships among the challenges suggests that diverse population in smart cities and lack of infrastructure are the significant challenges that impede the integration of Big Data in the development of smart cities.
This study will enable practitioners, policy planners involved in smart city projects in tackling the challenges in an optimised manner for the hindrance free and accelerated development of smart cities.
This research is an initial effort to develop an interpretive structural model of Big Data challenges for smart cities development which gives a clearer picture of how the identified challenges interact with each other.
This paper aims to address the flow features of Ree–Eyring fluid between two rotating disks subject to the magnetic field. Heat transfer features are discussed through…
This paper aims to address the flow features of Ree–Eyring fluid between two rotating disks subject to the magnetic field. Heat transfer features are discussed through viscous dissipation and nonlinear thermal radiation. Impact of thermophoresis and Brownian movement are elaborated. Physical characteristics of entropy generation optimization in nanofluid with homogeneous and heterogeneous chemical reaction are discussed.
The nonlinear system leads to ordinary one through the implementation of adequate transformation and then tackled analytically for a convergent series solution by homotopy analysis method.
The prime objective of the present research has been given to investigate entropy generation in Ree–Eyring fluid flow between two rotating disks subjected to the magnetic field. Vital features, namely, Brownian motion and thermophoresis have been addressed. Total entropy rate is computed using the second law of thermodynamics.
No such work yet exists in the literature.