Ahsan Kamal and Muhammad Kashif
Over the years, shrines have been ignored as a destination by islamic marketing scholars. However, shrines can be classified as Islamic spiritual destinations which are visited by…
Abstract
Purpose
Over the years, shrines have been ignored as a destination by islamic marketing scholars. However, shrines can be classified as Islamic spiritual destinations which are visited by people to serve various purposes. Moreover, in the country context of Pakistan with its beautiful cultural traditions and the religiousness among people, the visit to a shrine as a destination experience is scantly examined. This study fills this void and aims at exploring Muslim tourists' spiritual experiences of visiting shrines as Islamic spiritual destinations.
Design/methodology/approach
An interpretive qualitative inquiry is used based on phenomenology as the leading methodology for this exploration. Following a purposive sampling technique, researchers interviewed 10 informants who regularly visit shrines. The collected data are analyzed based on thematic analysis.
Findings
The results of a thematic analysis reveal six themes that emerged from tourists' experiences of Islamic spiritual destinations. These include: religious and spiritual values, spiritual belief system, commercial experience, hospitality and support experience, socialization experience and obstruction experience.
Practical implications
The findings of this study can be used by policymakers managing Islamic tourist destinations. It will help them to improve tourist experiences.
Originality/value
The findings contribute to both theory and practice of destination marketing by exploring the factors influencing tourists' perceptions about their experience of Islamic spiritual destinations.
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Shahed Imam, Zahir Uddin Ahmed and Sadia Hasan Khan
Examines whether audit delay of Bangladeshi companies is associated with audit firms’ links with international firms. The study is based on a sample of 115 listed companies of the…
Abstract
Examines whether audit delay of Bangladeshi companies is associated with audit firms’ links with international firms. The study is based on a sample of 115 listed companies of the Dhaka Stock Exchange for the year ended 1998. A non‐parametric tool has been used to find whether any significant difference exists among audit firms. The results of previous studies on audit delay show that firms associated with international audit firms appear to provide motivation for shorter audit delays. However, this study reveals that firms associated with international firms in Bangladesh have longer audit delays with a mean of 6.31 months, whereas the overall mean is 5.86 months.
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This proposal aims to forecast energy consumption in residential buildings based on the effect of opening and closing windows by the deep architecture approach. In this task, the…
Abstract
Purpose
This proposal aims to forecast energy consumption in residential buildings based on the effect of opening and closing windows by the deep architecture approach. In this task, the developed model has three stages: (1) collection of data, (2) feature extraction and (3) prediction. Initially, the data for the closing and opening frequency of the window are taken from the manually collected datasets. After that, the weighted feature extraction is performed in the collected data. The attained weighted feature is fed to predict energy consumption. The prediction uses the efficient hybrid multi-scale convolution networks (EHMSCN), where two deep structured architectures like a deep temporal context network and one-dimensional deep convolutional neural network. Here, the parameter optimization takes place with the hybrid algorithm named jumping rate-based grasshopper lemur optimization (JR-GLO). The core aim of this energy consumption model is to predict the consumption of energy accurately based on the effect of opening and closing windows. Therefore, the offered energy consumption prediction approach is analyzed over various measures and attains an accurate performance rate than the conventional techniques.
Design/methodology/approach
An EHMSCN-aided energy consumption prediction model is developed to forecast the amount of energy usage during the opening and closing of windows accurately. The emission of CO2 in indoor spaces is highly reduced.
Findings
The MASE measure of the proposed model was 52.55, 43.83, 42.01 and 36.81% higher than ANN, CNN, DTCN and 1DCNN.
Originality/value
The findings of the suggested model in residences were attained high-quality measures with high accuracy, precision and variance.
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Mustafa Raza Rabbani, M. Kabir Hassan, Syed Ahsan Jamil, Mohammad Sahabuddin and Muneer Shaik
In this study, the authors analyze the impact of geopolitics risk on Sukuk, Islamic and composite stocks, oil and gold markets and portfolio diversification implications during…
Abstract
Purpose
In this study, the authors analyze the impact of geopolitics risk on Sukuk, Islamic and composite stocks, oil and gold markets and portfolio diversification implications during the COVID-19 pandemic and Russia–Ukraine conflict period.
Design/methodology/approach
The study used a mix of wavelet-based approaches, including continuous wavelet transformation and discrete wavelet transformation. The analysis used data from the Geopolitical Risk index (GP{R), Dow Jones Sukuk index (SUKUK), Dow Jones Islamic index (DJII), Dow Jones composite index (DJCI), one of the top crude oil benchmarks which is based on the Europe (BRENT) (oil fields in the North Sea between the Shetland Island and Norway), and Global Gold Price Index (gold) from May 31, 2012, to June 13, 2022.
Findings
The results of the study indicate that during the COVID-19 and Russia–Ukraine conflict period geopolitical risk (GPR) was in the leading position, where BRENT confirmed the lagging relationship. On the other hand, during the COVID-19 pandemic period, SUKUK, DJII and DJCI are in the leading position, where GPR confirms the lagging position.
Originality/value
The present study is unique in three respects. First, the authors revisit the influence of GPR on global asset markets such as Islamic stocks, Islamic bonds, conventional stocks, oil and gold. Second, the authors use the wavelet power spectrum and coherence analysis to determine the level of reliance based on time and frequency features. Third, the authors conduct an empirical study that includes recent endogenous shocks generated by health crises such as the COVID-19 epidemic, as well as shocks caused by the geopolitical danger of a war between Russia and Ukraine.
Highlights
We analyze the impact of geopolitics risk on Sukuk, Islamic and composite stocks, oil and gold markets and portfolio diversification implications during the COVID-19 pandemic and Russia–Ukraine conflict period.
The results of the wavelet-based approach show that Dow Jones composite and Islamic indexes have observed the highest mean return during the study period.
GPR and BRENT are estimated to have the highest amount of risk throughout the observation period.
Dow Jones Sukuk, Islamic and composite stock show similar trend of volatility during the COVID-19 pandemic period and comparatively gold observes lower variance during the COVID-19 pandemic and Russia–Ukraine conflict.
We analyze the impact of geopolitics risk on Sukuk, Islamic and composite stocks, oil and gold markets and portfolio diversification implications during the COVID-19 pandemic and Russia–Ukraine conflict period.
The results of the wavelet-based approach show that Dow Jones composite and Islamic indexes have observed the highest mean return during the study period.
GPR and BRENT are estimated to have the highest amount of risk throughout the observation period.
Dow Jones Sukuk, Islamic and composite stock show similar trend of volatility during the COVID-19 pandemic period and comparatively gold observes lower variance during the COVID-19 pandemic and Russia–Ukraine conflict.
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Temidayo Oluwasola Osunsanmi, Clinton Ohis Aigbavboa, Wellington Didibhuku Thwala and Ayodeji Emmanuel Oke
The construction industry's application of supply chain management (SCM) principles is confronted with numerous Gordian Knots ranging from late delivery, fragmentation and others…
Abstract
The construction industry's application of supply chain management (SCM) principles is confronted with numerous Gordian Knots ranging from late delivery, fragmentation and others. The challenges could be attributed to multiple factors. The most crucial amongst them are adopting management ideas rooted in the second and third industrial revolution without taking consideration of the present industrial revolution. Evidence from literature and practice revealed that we are presently in the fourth industrial revolution (4IR). This chapter calls for developing a model that supports construction supply chain management (CSCM) in tandem with the principles of 4IR. This chapter presents the idea behind the conception, development and benefit of this research book to construction stakeholders and academia. The various shortcomings in the existing model for CSCM were also discussed in this chapter extensively.
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Arne Walter, Kamrul Ahsan and Shams Rahman
Demand planning (DP) is a key element of supply chain management (SCM) and is widely regarded as an important catalyst for improving supply chain performance. Regarding the…
Abstract
Purpose
Demand planning (DP) is a key element of supply chain management (SCM) and is widely regarded as an important catalyst for improving supply chain performance. Regarding the availability of technology to process large amounts of data, artificial intelligence (AI) has received increasing attention in the DP literature in recent years, but there are no reviews of studies on the application of AI in supply chain DP. Given the importance and value of this research area, we aimed to review the current body of knowledge on the application of AI in DP to improve SCM performance.
Design/methodology/approach
Using a systematic literature review approach, we identified 141 peer-reviewed articles and conducted content analysis to examine the body of knowledge on AI in DP in the academic literature published from 2012 to 2023.
Findings
We found that AI in DP is still in its early stages of development. The literature is dominated by modelling studies. We identified three knowledge clusters for AI in DP: AI tools and techniques, AI applications for supply chain functions and the impact of AI on digital SCM. The three knowledge domains are conceptualised in a framework to demonstrate how AI can be deployed in DP to improve SCM performance. However, challenges remain. We identify gaps in the literature that make suggestions for further research in this area.
Originality/value
This study makes a theoretical contribution by identifying the key elements in applying AI in DP for SCM. The proposed conceptual framework can be used to help guide further empirical research and can help companies to implement AI in DP.
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Temidayo Oluwasola Osunsanmi, Clinton Ohis Aigbavboa, Wellington Didibhuku Thwala and Ayodeji Emmanuel Oke
The model and existing practice of the construction supply chain (CSC) in the United Kingdom (UK) and Australia was presented in this chapter. The policies and reports that…
Abstract
The model and existing practice of the construction supply chain (CSC) in the United Kingdom (UK) and Australia was presented in this chapter. The policies and reports that support the practice of the CSC were examined in both countries. It was discovered from the review of literature that the UK has a more detailed report targeted at improving the CSC than Australia. However, both countries have a common factor affecting their CSC which originates from fragmentation experienced within their supply chain. Construction stakeholders in the UK and Australia believe that collaboration and integration are vital components for improving performance. The majority of the contractors in both countries embrace collaborative working for the sole purpose of risk sharing, access to innovation and response to market efficiency. However, most of the models developed for managing the CSC in the UK are built around building information modelling (BIM). Also, the reviewed studies show that supply chain management practice will be effective following the following principle: shared objectives, trust, reduction in a blame culture, joint working, enhanced communication and information-sharing. Finally, the UK has a more established framework and more CSC models compared to Australia.
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Lizbeth Alicia Gonzalez-Tamayo, Adeniyi D. Olarewaju, Adriana Bonomo-Odizzio and Catherine Krauss-Delorme
This study examines how perceived institutional support, parental role models, and entrepreneurial self-efficacy, representing both macro-level and personal-level factors…
Abstract
Purpose
This study examines how perceived institutional support, parental role models, and entrepreneurial self-efficacy, representing both macro-level and personal-level factors, collectively influence students' intentions to pursue entrepreneurship in Mexico and Uruguay.
Design/methodology/approach
This research utilized quantitative methodology, specifically survey techniques, to collect data from students attending private universities. The study achieved a valid sample size of 419 respondents. Various reliability and validity tests were conducted before structural equation modeling was employed to test the hypothesized relationships between variables.
Findings
The analysis revealed that perceived institutional support does not directly impact students' entrepreneurial intentions (EI). Instead, its effect is mediated through entrepreneurial self-efficacy and the presence of parental role models, both of which are strong predictors of EI. Additionally, the study identified a direct correlation between students' nationality, their academic programs, and their EI. Age and gender, however, did not significantly influence EI.
Research limitations/implications
This study provides theoretical insights into understanding EI by combining macro-level and personal factors. This integrative method contributes to a more comprehensive approach of predicting EI within the context of Latin America.
Practical implications
The study suggests boosting investment to improve the quality of institutions, fostering an environment that supports entrepreneurship, and offering students opportunities to learn from successful role models.
Originality/value
This study was conducted in the context of two economies in Latin America. The novelty lies in combining perceived institutional factors and individual motivators to understand EI in Latin America. It uniquely emphasizes the significance of familial influences, particularly parental role models, in its analysis.
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XiaoYan Jin and Sultan Sikandar Mirza
Digitalization is increasingly important for promoting authentic CSR practices. Firms with higher CSR levels motivate their employees to pursue their goals and demonstrate their…
Abstract
Purpose
Digitalization is increasingly important for promoting authentic CSR practices. Firms with higher CSR levels motivate their employees to pursue their goals and demonstrate their social responsibility. However, the literature has not adequately examined how firm-level digitalization influences corporate sustainability from a governance perspective. This study aims to fill this gap by exploring how digitalization affects CSR disclosure, a key aspect of sustainability, at the firm level. Furthermore, this study also aims to investigate how governance factors, such as management power, internal control and minority shareholder pressure, moderate this effect.
Design/methodology/approach
This study employs a fixed effect model with robust standard errors to analyze how digitalization and CSR disclosure are related and how this relationship is moderated by governance heterogeneity among Chinese A-share companies from 2010 to 2020. The sample consists of 2,339 firms, of which 360 are SOEs and 1,979 are non-SOEs. To ensure robustness, this study has excluded the observations in 2020 to avoid the effects of COVID-19 and used an alternative measure of CSR disclosure based on the HEXUN CSR disclosure index. Furthermore, this study also explores the link in various corporate-level CSR settings.
Findings
The regression findings reveal that: First, Chinese A-share firms with higher digitalization levels disclose less CSR information. This finding holds for both SOEs and non-SOEs. Second, stronger management power has a negative moderating effect that weakens the link between digitalization and CSR disclosure, and this effect is mainly driven by SOEs. Third, internal control attenuates the negative association between firm digitalization and CSR disclosure, which is more pronounced in SOEs. Finally, minority shareholders exacerbate the negative relationship between digitalization and CSR disclosure, and this effect is more evident in non-SOEs. These results are robust to excluding the potential COVID effect and using an alternative HEXUN CSR disclosure index measure.
Originality/value
Digitalization and sustainability have been widely discussed at a macro level, but their relationship at a micro level has been largely overlooked. Moreover, there is hardly any evidence on how governance heterogeneity affects this relationship in emerging economies, especially China. This paper addresses these issues by providing empirical evidence on how digital transformation influences CSR disclosure in China, a context where digitalization and CSR are both rapidly evolving. The paper also offers implications for both practitioners and policymakers to design appropriate digital strategies for firm development from diverse business perspectives.
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Muhammad Kashif Khan, Siti Zaleha Abdul Rasid, Barjoyai Bardai and Sarah Athirah Saruchi
The purpose of this research is to introduce an innovative framework called the waqf cooperative housing framework (WCHF), with an objective to create a synergistic equilibrium…
Abstract
Purpose
The purpose of this research is to introduce an innovative framework called the waqf cooperative housing framework (WCHF), with an objective to create a synergistic equilibrium between waqf and cooperative housing schemes. To tackle problems related to the dearth of financing, this research postulates an innovative waqf-based source of finance that involves generating revenue from common areas (waqf area) within the vicinity of the condominium.
Design/methodology/approach
Primary data were collected through interviews and the data were analysed using the NVIVO software. The interviewees comprised managers from property development sectors, public sector officials, university lecturers in Islamic finance, CEOs, top management officials from Islamic financial institutions, community leaders and shariah scholars.
Findings
A framework was proposed based on the result of the interviews. It was found that innovative models such as WCHF can resolve the issue of affordable housing in Karachi such as decreasing the financial burden on the public exchequer, bringing positive change to the lives of the poor, fulfilling the property developer’s corporate social responsibility, fulfilling the religious duty of the general public and condominium owners towards their fellow beings as well as creating new employment opportunities for people who are working in the financial sector (waqf management companies/trustees) and the construction sector.
Research limitations/implications
Even though this study has introduced an innovative and practical solution to the financing of affordable housing, it also encountered some limitations. First, it is conducted in Karachi city involving six group of respondents; thus, the findings cannot be generalised with other contexts. Similar research needs to be conducted in different contexts.
Originality/value
To date, this is among the first studies, to the best of the authors’ knowledge, to investigate cooperative affordable housing with the help of innovative Islamic finance tools in the context of Pakistan. Furthermore, insufficient attention has been given to the enabling and hindering factors behind the acceptance of a framework that seeks to initiate a cooperative scheme based on an innovative waqf financing tool that generates revenue from common areas around a condominium.