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This paper aims to present an efficient and simplified proportional-integral/proportional-integral and derivative controller design method for the higher-order stable and integrating processes with time delay in the cascade control structure (CCS).

Two approaches based on model matching in the frequency domain have been proposed for tuning the controllers of the CCS. The first approach is based on achieving the desired load disturbance rejection performance, whereas the second approach is proposed to achieve the desired setpoint performance. In both the approaches, matching between the desired model and the closed-loop system with the controller is done at a low-frequency point. Model matching at low-frequency points yields a linear algebraic equation and the solution to these equations yields the controller parameters.

Simulations have been conducted on several examples covering high order stable, integrating, double integrating processes with time delay and nonlinear continuous stirred tank reactor. The performance of the proposed scheme has been compared with recently reported work having modified cascade control configurations, sliding mode control, model predictive control and fractional order control. The performance of both the proposed schemes is either better or comparable with the recently reported methods. However, the proposed method based on desired load disturbance rejection performance outperforms among all these schemes.

The main advantages of the proposed approaches are that they are directly applicable to any order processes, as they are free from time delay approximation and plant order reduction. In addition to this, the proposed schemes are capable of handling a wide range of different dynamical processes in a unified way.

This study aims to test the market anomaly of herding behavior driven by the response to supply chain disruptions in extreme market conditions such as those observed during COVID-19. The authors empirically test the response of the capital market participants for B2B firms, resulting in herding behavior.

Using the event study approach based on the market model, the authors test the impact of supply chain disruptions and resultant herding behavior across six sectors and among different B2B firms. The authors used cumulative average abnormal returns (CAAR) and cross-sectional absolute deviation (CSAD) to examine the significance of herding behavior across sectors.

The event study results show a significant effect of COVID-19 due to supply chain disruptions across specific sectors. Herding was detected across the automotive and pharmaceutical sectors. The authors also provide evidence of sector-specific disruption impact and herding behavior based on the black swan event and social learning theory.

The authors examine the impact of COVID-19 on herding in the stock market of an emerging economy due to extreme market conditions. This is one of the first studies analyzing lockdown-driven supply chain disruptions and subsequent sector-specific herding behavior. Investors and regulators should take sector-specific responses that are sophisticated during extreme market conditions, such as a pandemic, and update their responses as the situation unfolds.

This study aims to identify the changes in different selling situations/styles during and post-COVID scenarios.

To attain the above-mentioned objective, a qualitative study drawn upon the principles of the theories-in-use approach is conducted. The data were collected through 23 in-depth semistructured interviews, conducted with professional salespeople working at various levels in different industries. The data thus generated was analyzed through open, axial and selective coding, which resulted in three broad categories of changes in professional selling.

The findings of the study suggest that though sales jobs are perceived to be similar in nature, but there are differences in how various selling jobs are being performed. The same is the case with the effect of the pandemic on sales jobs. The authors found that every selling style faced a different challenge due to the pandemic and so is the case for the salespeople engaged in the respective selling practice.

To the best of the authors’ knowledge, this is the first research of its kind that has focused on the differences in various selling styles. Though the recent academic literature on personal selling does manifest the effect of the pandemic. But, in doing so, these studies have presented “personal selling” as an overarching concept encompassing all types of selling and have failed to differentiate between the various nuances of personal selling which include trade selling, technical selling, new-business selling and missionary selling.

The purpose of this paper is to identify the factors determining students’ attitude toward using newly emerged artificial intelligence (AI) tool, Chat Generative Pre-Trained Transformer (ChatGPT), for educational and learning purpose based on technology acceptance model.

The recommended model was empirically tested with partial least squares structural equation modeling using 375 student survey responses.

The study revealed that students have a favorable view of the instructional use of ChatGPT. Usefulness, social presence and legitimacy of the tool, as well as enjoyment and motivation, contribute to a favorable attitude toward using this tool in a learning environment. However, perceived ease of use was not found to be a significant determinant in the adoption and utilization of ChatGPT by the students.

This research is intended to benefit enterprises, academic institutions and the global community by offering light on how students perceive the ChatGPT service in an educational setting. Furthermore, the application enhances confidence and interest among learners, leading to improved literacy and general awareness. Eventually, the outcome of this research will help AI developers to improve their product and service delivery, as well as benefit regulators in regulating the usage of AI-based bots.

Due to its novelty, the current research on AI-based ChatGPT usage in the education sector is rather restricted. This study provides the adoption aspects of ChatGPT, a new AI-based technology for students, thereby contributing significantly to the existing research on the adoption of advanced education technologies. In addition, the literature lacks research on the adoption of ChatGPT by students for educational purposes; this study addresses this gap by identifying adoption determinants of ChatGPT in education.

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.

The purpose of this paper is to examine the impact of external debt and corruption on economic growth in the selected five Sub-Saharan African (SSA) countries, from 1990 to 2015.

Panel unit root and panel cointegration tests are employed to test for stationarity of the series and the long-run relationship, respectively. Fully modified OLS and dynamic OLS techniques are also employed to examine the long-run coefficients of the variables of the model, as well as panel Granger causality test, in order to examine the direction of causality among the variables.

The results indicate that there is a negative relationship between external debt and economic growth, as well as a bi-directional causality between the two variables. The findings also indicate a positive relationship between corruption and economic growth, as well as a uni-directional causality running from economic growth through corruption.

The study recommends that the governments of the selected countries should address the menace of rising external debt through the adoption of other sources of capital for investment. Such include more openness of the economy for more capital, by easing restrictions on genuine imports and exports of valuable goods and services. It also suggests that the issue of corruption be tackled head-on, by such penalties that tend to make corruption less attractive.

While the relationship between economic growth and external debt, on the one hand, and corruption and economic growth, on the other hand, have received considerable attentions, the trio of external debt, corruption and economic growth have not been found combined in a model, to the best of the authors’ knowledge. Also, the countries under consideration, who jointly account for about 47 percent of the entire SSA countries’ stock of external debt, have not been jointly found in any recent panel studies involving the selected variables.

This paper aims to explore the intention to adopt Islamic finance (ItIF) through the mediation of attitudes towards Islamic finance among microbusiness owners of Pakistan.

The study is co-relational and based on cross-sectional data. The authors gathered the data from microbusiness owners through a survey questionnaire. The authors used 236 valid cases to assume the outcomes.

The results through structural equation modeling reveal a significant positive effect of the perception of Shariah compliance (PoSC), knowledge of the Islamic financial system (KoIF), religious preferences (RP) and loyalty on ItIF. Furthermore, attitude towards Islamic finance (AtIF) is a potent factor in developing the relationship between PoSC, KoIF, RP, loyalty and ItIF.

The study’s findings would be helpful for planners and policymakers in developing policies that favourably enhance the attitudes and intentions among individuals towards Islamic financing. The results would inspire readers to go to Islamic finance and an interest-free financial system enriched with Shariah law or Islamic obligations. The study would provide implications for the financial institutions in Pakistan and the rest of the Muslim world.

The study offers an apparent thoughtfulness of the empirical evidence from microbusiness owners of Pakistan. The study would provide a plausible mediating contribution of AtIF.

The purpose of this paper is to examine the impact of migrant workers on the output growth of 15 sub-industries of the manufacturing sector in Malaysia during the period 1990–2008. The paper seeks to answer the following critical questions: what is the impact of migrant workers on the output growth of the manufacturing sector, the leading sector of Malaysian economy? It is possible that migrant workers with different skill levels may have different impacts on output growth of such sector?

The paper employs three econometric techniques: mean group, dynamic fixed effect and the pooled mean group on extended form for Cobb–Douglas production function.

The overall findings suggest that due to the inflow of low skills of migrant workers, output growth in the manufacturing sectors is likely to witnesses a marginal decline in the long run.

The present study complements previous studies by providing a quantitative assessment of the impact of migrant workers on output growth in the manufacturing sector in Malaysia, which is not attempted in extant literature. More importantly, the analysis considers the probability that migrant workers with different skill levels may have different impacts on the growth of output in the manufacturing sector.

The purpose of this study is to investigate the role of Auditing and Accounting Organization for Islamic Financial Institution (AOIFI) governance disclosure on the performance of Islamic financial institutions (IFIs) through systematic literature review approach.

This study is based on the review of literature related to the AAOIFI accounting standards downloaded from Scopus database. This study includes review of 126 research articles, 10 review papers, 9 book chapters and 5 conference papers related to different roles played by AAOIFI in providing standards for accounting, auditing, governance and ethics for global IFIs.

The findings of this study suggest that AAOIFI has played a critical role in developing the accounting standards for the IFIs and contributed positively to the overall growth of the Islamic finance industry.

AAOIFI has played a critical role in issuing and development of accounting and auditing standards and has contributed positively to the financial performance of IFIs. Research gaps are identified, and there is a need to work on these gaps.

This study will contribute to the understanding the role of AAOIFI in issuing and development of accounting and governance standards and future research agenda based on a thorough review of literature.

This study aims to investigate the significant role of the Shariah Board (SB) in the innovation of digital finance products through SBs’ interaction with financial technology (FinTech).

By using semi-structured interviews, the paper examines 34 views and experiences of scholars and other practitioners from the FinTech and Islamic banking industries to gain an in-depth understanding of SBs’ Shariah compliance roles in FinTech inclusion in Malaysian Islamic banks (IBs).

Taking advantage of Malaysia’s comprehensive Shariah Governance Framework for IBs, the study highlighted the importance of SBs to better address the opportunities and challenges of financial innovation for the development of IBs with the inclusion of FinTech. The authors found that digital solutions and tools, such as Robo Advisory system and blockchain, enhance SBs’ roles by providing more effective and timely Shariah assurance regardless of the volume of data information and storage.

Given SBs significant roles in conforming to the Shariah, the study contributed significantly to assisting the regulatory and policy promulgation that enhance SBs’ integrity and credibility in response to the growth of IB infrastructures and financial innovation.

To the best of the authors’ knowledge, this is the first study to investigate the significant role of SBs in the innovation of digital finance products through their interaction with FinTech, while prior studies focused on the characteristics and structure of Islamic digital financial products.