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Exact confidence interval estimation for the new extreme value model is often impractical. This paper seeks to evaluate the accuracy of approximate confidence intervals for the two‐parameter new extreme value model.

The confidence intervals of the parameters of the new model based on likelihood ratio, Wald and Rao statistics are evaluated and compared through the simulation study. The criteria used in evaluating the confidence intervals are the attainment of the nominal error probability and the symmetry of lower and upper error probabilities.

This study substantiates the merits of the likelihood ratio, the Wald and the Rao statistics. The results indicate that the likelihood ratio‐based intervals perform much better than the Wald and Rao intervals.

Exact interval estimates for the new model are difficult to obtain. Consequently, large sample intervals based on the asymptotic maximum likelihood estimators have gained widespread use. Intervals based on inverting likelihood ratio, Rao and Wald statistics are rarely used in commercial packages. This paper shows that the likelihood ratio intervals are superior to intervals based on the Wald and the Rao statistics.

Extreme value model is one of the most important models that are applicable in air pollution data. This paper aims at introducing a new model of extreme value that is more suitable in environmental studies.

The parameters of the new model have been estimated by method of maximum likelihood. In order to relate to air pollution impacts, the new extreme value model was used, applied to carbon monoxide (CO) in parts per million (ppm) at several places in Malaysia. The objective of this analysis is to fit the extreme values with a new model and to examine its performance. Comparison of the new model with others is shown to illustrate the applicability of this new model.

The results show that the new model is the best fit using the method of maximum likelihood. The new model gives a significant impact of CO data, which gives the smallest standard error and p‐values. The new extreme value model is able to identify significantly problems of air pollution. The results presented by the new extreme value model can be used as an air quality management tool by providing the decision makers means to determine the required reduction of source.

The new extreme value model has mostly been applied in environmental studies for the statistical treatment of air pollution. The results of the numerical and simulated CO data indicate that the new model both is easy to use and can achieve even higher accuracy compared with other models.

The purpose of this paper is to evaluate the links between intellectual capital sub-components and organizational performance in small and medium enterprises (SMEs) operating in the electrical and electronics manufacturing sector in Pakistan.

Data were collected through structured questionnaires from a sample of 247 respondents from Pakistani SMEs in Gujranwala and Gujarat. Several tests were used to examine the reliability and validity of the research instrument. Finally, multiple regression analysis was used to test the proposed research hypotheses.

The findings of this study demonstrate that the overall regression model of intellectual capital shows goodness of fit while one component of intellectual capital – namely human capital – appeared insignificant. Subsequently, six out of seven research hypotheses was accepted.

This study will provide a valuable framework for entrepreneurs, executives, managers and policy makers in managing intellectual capital within the Pakistani context.

To the best knowledge of the authors, this is the first empirical study that has been conducted on SMEs operating in the electrical and electronics manufacturing sector in Pakistan.

The purpose of this article is to investigate the influence that firm-specific characteristics, such as organisational capabilities, risk management methods and stakeholder relationships, have on political risks (PRs) that are associated with multinational construction projects in Pakistan.

The methodology employed in this investigation involved the acquisition of data through the use of questionnaires administered to experts in the construction industry. The research applied a quantitative method, and the sources of the data are from the Pakistani stakeholders. One hundred questionnaires were used for the data collection during field visits. Based on the data, it has been ensured that the valid questionnaires were utilised, and the data were tested for validity and reliability. The analysis tool utilised was SPSS software. For the questionnaire, a total of 15 firm-specific factors were considered in order to design the survey, which specifically targeted the identified features. The factors identified as risks were investigated using quantitative method to determine firm-specific risks.

It was found that when stakeholders have a better grasp of these dynamics, they are better able to strengthen their resilience and efficacy in managing PRs, which ultimately increases the likelihood that the project will be successful.

International construction projects (ICPs) in emerging countries are substantially impacted by PRs, which can have a considerable impact on their success and sustainability. The study is localised and not generic as it is limited to Pakistan, and the risk factors considered are firm-specific but related to PRs.

By identifying key risk factors, these firms can develop targeted risk management strategies, leading to enhanced decision-making and more efficient resource allocation. Effective strategies include diversification, local partnerships and comprehensive risk assessments tailored to the unique challenges faced by international contracting firms in Pakistan.

ICPs in emerging countries like Pakistan face critical problems, which include the presence of PRs. Although the larger political environment plays a significant part, the manner in which businesses navigate and mitigate PRs is also influenced by firm-specific elements.

The study is novel in terms of the factors looked at, the data, the conceptual framework and the findings of the study. The dynamic political scene, which is characterised by instability, policy changes, corruption and geopolitical conflicts, poses significant dangers to the timeliness of projects, the expenses of such projects and the investments that are made in those projects.

Islamic finance and Halal product sectors are thriving successfully. This chapter is a general review of the perception of Asian consumers on Islamic finance and Halal sectors in the global Halal economy.

The first section will briefly describe the Halal concept in both Islamic finance and Halal industries, and the growth of both sectors in Asian countries. The second part highlights the review of Asian consumers’ perception towards Islamic finance products and Halal products.

The review found that the consumers’ perception towards the Islamic finance products and Halal products is distinctive. This is due to the diversity of Asian countries in terms of geography, religion, culture, ethnic, school of thoughts (madzahib), income per capita and government’s involvement.

The third part of the chapter concentrates on planning towards Halal marketing, which involves the move and future challenges in different layers of industries to gear up and strengthen the Halal economy.

Organizations today strive to differentiate themselves from others with the help of various tools. Aaker’s brand personality model is one of them. It comprises five components namely, sincerity, excitement, sophistication, competence and ruggedness. This model has been tested and supported by various scholars in the past. Similarly, it also attracted a lot of criticism especially in terms of generalizability across countries and cultures. The purpose of this paper is twofold: first, to study Aaker’s model from an Islamic perspective; second, considering the dearth of brand personality knowledge in the services sector, to develop Islamic Banks’ Brand Personality (IBBP) model.

To propose IBBP model, traits in Aaker’s model have been investigated in the light of selected Quranic verses and sayings of Prophet Muhammad (ahadith). Later on, content validation was conducted as a pilot study with experts from the relevant fields.

Findings exhibit that Quran and hadith clearly elaborate and support majority dimensions of the existing model. Importantly, three new dimensions, namely, trustworthiness, justice and Shariah compliance, were added to develop a comprehensive IBBP model. Once the dimensions of IBBP model were finalized, the underlying items were content validated from 12 experts. Most of the items were approved; some were recommended for amendments and a few items were eliminated.

This research contributes to the branding as well as bank marketing literature as it is the first Islamic banks’ brand personality framework. With the help of IBBP model, Islamic banks can create a better brand image, use advertising strategies effectively and ultimately retain existing and attract more potential customers.

This research elaborates the personality traits of Muslim consumer market. Following IBBP model, financial needs of Muslim consumer market can be catered effectively.

The IBBP model being first of its kind is significant for Islamic banking industry as it reflects dimensions that are supported by the Quran and hadith, and therefore suits Muslim customer market.

This paper aims to analyse the new standards on Sukuk which was issued by the Accounting and Auditing Organization for Islamic Financial Institution (AAOIFI) as a result of the strong critics posed by Shaykh Taqi in the end of 2007 that 85 percent of Sukuk issuance were not in line with the teachings of Shariah.

This study reviewed samples of Sukuk prior and after the new AAOIFI pronouncement by focusing on controversial areas such as ownership transfer, pricing and guarantee element. This paper used content analysis approaches to analyse the pronouncement and the samples.

The findings showed that there were negligible changes on the principle term and condition (PTC) of the Sukuk after the pronouncement, thus it did not have much effect in changing the Shariah Advisors and industry players when deciding more authentic principles and decisions.

Based on the findings, it is acceptable that the advisors tried their very best in making efforts to minimize controversial decisions as to suit current financial practices.

Despite the significant growth in Islamic economies and the increasing number of Muslim youths inclining digital services, empirical-based research addressing the adoption of digital Islamic services is still limited. ZakaTech is a new phrase that has recently emerged as a modern term describing novel technologies adopted by zakat institutions; yet, it has been largely neglected in the literature. Therefore, this study aims to provide an integrated model that scrutinizes the determinants of acceptance and use of technology (UTAUT) of ZakaTech, combined with social cognitive theory (SCT), in the midst of the COVID-19 crisis where social distancing is the norm in conducting economic activities.

Based on cross-national evidence from two Muslim-majority countries, a total of 1,006 valid responses were collected from zakat payer users in Saudi Arabia and Egypt using a Web-based survey. To validate the research model and draw significant insights, SmartPLS structural equation modeling was used.

By analyzing both Saudi and Egyptian samples, the authors found that all UTAUT constructs are statistically significant, except for effort expectancy in Egypt. The effects of self-efficacy and social isolation on ZakaTech adoption are supported across both countries. Trust in technology reduces users’ inherent risks and increases their likelihood of adopting ZakaTech services in Saudi Arabia, while this is not the case in Egypt. However, the study revealed that trust in electronic-zakat systems (EZSs) is a vital predictor for mitigating perceived risk among Egyptian users of ZakaTech, but it is not the case in Saudi Arabia. Moreover, significant gender differences were found between males and females in the adoption of such digital services in both countries, particularly regarding self-efficacy, trust in EZSs, social isolation and social influence.

The results provide meaningful insights for policymakers to find ways to develop strategies to escalate the adoption of technology in zakat administration and also to create awareness among the users of ZakaTech in a gender-balanced manner that will include zakat payers and recipients as well in the hope that the digital gender divide will be bridged. Bridging the digital gender divide in this regard is imperative for sustainable inclusive development of zakat. Further, strategies need to be developed to provide incentives to zakat authorities and zakat organizations that adopt technology in managing zakat. This is important to escalate the process of fusing technology with zakat, which is an important social finance tool to eradicate poverty in the world.

This research serves as a building block for literature by empirically testing an integrated model of UTAUT-SCT within a modern and unique related context like ZakaTech. Also, it adds value by testing gender disparities in ZakaTech adoption among Muslims.

The purpose of this study is to examine the factors that influence people’s behaviour in paying zakat, explore their perceptions of the institutions, examine the factors that influence their trust and analyse the impact of trust on their behaviour in paying zakat to the institutions.

A questionnaire was distributed to 740 potential Zakat payers in the Federal Territory, Malaysia. In designing the questionnaire, a systematic literature review, focus group discussions and pilot study were conducted. Descriptive analysis and partial least squares structural equation model were used with SmartPLS software.

The result shows that trust, intention to pay zakat and age of the respondents have statistically significant impacts on people’s behaviour to pay zakat through institutions. Intention to pay zakat is influenced by attitudes, subjective norms and perceived behavioural control. In addition, the main common concerns expressed were lack of awareness of the importance of paying zakat, lack of transparency in zakat administration, especially in collection and distribution, and inefficiency in administration and distribution. Moreover, trust in the institutions could be established if the institution is able to fulfil its mission of collecting and distributing zakat to the entitled Asnaf and improve their welfare, as trust not only has a direct impact on people’s behaviour, but also strengthens people’s intention and influences their behaviour to pay zakat to the institutions.

This study focuses on a specific geographical area and zakat institution; hence, the study’s generalisability is limited. The use of self-reported and cross-sectional data may introduce bias and fail to capture the dynamic change of trust, intention and behaviour across time. The proposed solution of leveraging digital platforms may provide numerous hurdles and obstacles for adoption by the zakat institution.

This study shows the significant role of trust in influencing people’s intentions and behaviour in supporting organisations. Therefore, it can serve as an indicator of the performance or success of a particular institution. Thus, there is a need to find strategies to gain people’s trust by improving their ability, integrity and benevolence in performing their tasks.

The main aim of this study was to examine the effect of the components of intellectual capital on the organizational performance of SMEs operating in tourism sector at Azad Jammu and Kashmir Pakistan.

In this empirical study, survey approach was used and primary data were collected through structured questionnaire. A total of 300 structured questionnaire survey forms were distributed through purposive sampling technique. Two hundred and twenty usable questionnaire survey forms were returned. Six research hypotheses were constructed to achieve the objective of this study. Smart Partial Least Square (PLS) 3 was used to test the proposed research hypotheses.

The findings showed that two out of six hypotheses were supported. Precisely, customer capital has appeared as one of the most important components of intellectual capital in model. The results showed that the overall intellectual capital has effect on the organizational performance of SMEs. Results shed more light on the effects that the components of intellectual capital have on organizational performance of SMEs, particularly in the context of Pakistan.

This research is limited to SMEs in tourism sector in Pakistan and the data were gathered through questionnaire which used mostly subjective measures. Subsequently, findings may not be applicable to other industries. The research contributes to the development of intellectual capital literature focused on the organizational performance in the perspective of SMEs in emerging economies. Future research needs to reach beyond the boundaries and understand the effect of intellectual capital on the performance of organizations.

This study extended the knowledge about the prominence of intellectual capital and its effect on the organizational performance of SMEs. Moreover, this study identified the level of existence and measurement of the six components of intellectual capital in SMEs which enables practitioners to develop adequate strategies to better manage it. To author's best knowledge, this study can be the first empirical study which investigates the impact of intellectual capital on the organizational performance of SMEs operating in tourism sector in Pakistan.