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This study aims to model and investigate Basic Yellow 28 (BY28) adsorption onto activated carbon in batch and continuous process.

Batch adsorption experiments were carried out at 25 °C with 50 mg/L BY28 solution at pH 6 with different amounts of activated carbon. Freundlich and Langmuir adsorption isotherm models were used to model batch data. Pseudo-first-order and pseudo-second-order kinetic models were applied with linear regression. The changes of the breakthrough curve with the column height, flow rate, column diameter and adsorbent amount were examined in fixed bed column at room temperature. BY28 adsorption data were modelled by using different adsorption column models (Adams & Bohart, Thomas, Yoon & Nelson, Clark and modified dose–response) with non-linear regression.

Freundlich model and pseudo-second-order kinetic model expressed the experimental data with high compatibility. Modified dose-response model corresponded to the fixed bed column data very well.

Adsorption of Basic Yellow 28 on activated carbon in a fixed bed column was studied for the first time. Continuous adsorption process was modelled with theoretical adsorption models using non-linear regression.

This study examines the effect of social media marketing on voting intention applying a combination of fuzzy logic methodology and a multidimensional panel data model.

The study adopts a multidimensional panel data method that includes several fixed effects. The dependent variable is a multifaceted construct that measures the participants’ intention to vote. The independent variables are electronic word of mouth (eWOM), customisation (CUS), entertainment (ENT), interaction (INT), trendiness (TRD), candidate’s perceived image (CPI), religious beliefs (RB), gender and age. The grouping variables that signify fixed effects are employment status, level of education, mostly used social media and religion. First, the significance of said fixed effects was tested through an ANOVA process. Then, the main model was estimated, including the significant grouping variables as fixed effects.

Employment status and level of education were significant fixed effects. Also, eWOM, ENT, INT, CPI, RB and gender significantly affected participants’ voting intention.

Being based on a questionnaire that asked participants about how they perceive different aspects of social media, the present study is limited to their perceptions. Therefore, further studies covering the voters’ behaviour in action could be efficient complements to the present study.

The findings could guide the political parties into prioritizing the aspects of social media in forming an effective campaign resulting in being elected.

The findings have the potential to help the public in making better informed decisions when voting. Furthermore, the results of this study indicate applications for social media which are beyond leisure time fillers.

Fuzzy logic and multidimensional panel data estimates are this study’s novelty and originality. Structural equation modelling and crisp linguistic values have been used in previous studies on social media’s effect on voting intent. The former refines the data gathered from a questionnaire, and the latter considers the possibility of including different grouping factors to achieve a more efficient and less biased estimation.

This study aims to assess the efficiency of managing working capital in 1,388 Indian manufacturing firms from 2008 to 2019 and investigate the effects of firm-specific and macro-level determinants on working capital management (WCM) efficiency.

The current study accommodates a slack-based measure (SBM) in data envelopment analysis (DEA) for computing WCM efficiency. Further, we implement a panel data fixed-effects model that controls for heterogeneity across firms in determining the relationships of selected variables with WCM efficiency.

The results highlight that manufacturing firms operate at around 50 percent efficiency, which is constant throughout the study period. Furthermore, among the selected variables, yield, earnings, age, size, ability to create internal resources, interest rate and gross domestic product (GDP) significantly affect WCM efficiency.

Instead of the traditional models used for assessing efficiency, the SBM-DEA model is unit-invariant and monotone for slacks, implying that it can handle zero and negative data, which overcomes the incapability of prior DEA models. Hence, this provides accurate efficiency scores for robust analysis. Additionally, this paper provides a holistic working capital model recognizing firm-specific and macro-level determinants for a more explicit estimation of the relationship between WCM efficiency and the selected determinants.

This research investigates the Islamic banks’ intermediation role (e.g. branches and deposits) in financing. It also examines how financing contributes to the regions' economic growth and poverty alleviation as a predictor and mediator variable.

A total of 297 observations were extracted from 33 Indonesian districts and 14 Islamic banks during the period 2012–2020. Fixed-effect regression analysis was used to examine variable’s interactions.

The empirical results indicate that Islamic banks have adopted a channelling role towards redistributing capital from lender to borrower. Besides, there are crucial roles in developing economies and reducing poverty at the district level. This study also reinforces the critical role of financing in mediating the relationship between branches and deposits as predictor variables and GDP and poverty as outcome variables.

The current study was limited to Indonesian Islamic banks and the district’s perspective. Future research needs to cover sub-districts and other poverty measurements (e.g. human education and development perspectives), including conventional and Islamic banks. It can help practitioners, regulators and researchers observe the dynamic behaviour of the banking sector to understand its role in the economic and social fields.

Bank managers and regulators should promote branches, deposits and financing. It also enlightens people about the essential role of Islamic banks and their fundamental operations in business and economics.

This study contributes to economic literature, bank managers and local governments' decision-making processes by developing and testing an economic growth and poverty model.

Remuneration policies may differ from country to country, and their effect on bank stability could be due to the legal framework. Therefore, this study aims to investigate how the legal system impacts the relationship between CEO compensation and bank stability across countries.

To test the study hypotheses, the authors use panel data of 74 banks operating in ten OECD countries during the period 2009–2016 and apply the generalized moments method regression model to better remediate the endogeneity problem.

The findings confirm that a country’s banking regulations significantly affect its bank stability. Common law countries have less bank stability than civil law countries. This result can be interpreted by the fact that, in common-law countries, banks’ CEO are strongly protected by the law, so they allocate a large part of bank assets to risky loans to improve their variable remuneration.

The research can help policymakers understand bank stability in one country. Any legal reform would require prior knowledge of how risk-taking may arise in executive compensation.

The contribution is to explain the controversial effect of executive compensation on bank stability in the framework of legal theory. The authors argue that regulators should monitor compensation structures and that the country’s legal origin of law shapes the CEO compensation structure and is a determinant of bank stability. To the best of the authors’ knowledge, there are no studies exploring this field. So, this study tries to shed more light on the dark side of CEOs’ behavior when undertaking risky projects to maximize their remuneration.

This study highlights the influence of non-financial sustainability reporting and firm reputation (FR) on the China Stock Exchange. The study is based on the components of sustainability reporting that influence FR.

A simple ordinary least squares (OLS) regression model is initially run to test the hypotheses. Advanced econometric methods are used to detect the presence of heteroskedasticity. The study utilizes fixed-effect, two-stage least squares (2SLS) and two-step generalized method of moments (GMM) regression models to address endogeneity issues.

Findings suggest that NFSR has a negative influence on FR. Conversely, environmental, social and governance (ESG) sustainability reporting exhibited positive associations with a FR in fixed-effect, 2SLS and GMM results.

This study has limitations, and data collection is restricted to the period from January 2018 to June 2023, limiting the scope of findings due to data constraints. Brand equity measurement is considered only one aspect of a company's activities, and other methods can also be considered for measuring brand equity. Another limitation is a standardized method for measuring NFSR. While this study used the Arianpoor and Salehi (2021) model to measure sustainability reporting in the Chinese market, future research could explore different methods.

The findings of this study have important practical implications for corporate management, highlighting reputation challenges and the strategic importance of sustainability. Managers are encouraged to use NFSR strategically to enhance their reputation and corporate strategy.

The social implications highlight ownership and regulatory structures, promoting enhanced sustainability reporting in China's business culture. This insight informs policymakers, businesses and stakeholders regarding the importance of sustainability reporting, guiding decisions on corporate reputation and sustainability regulations.

The research indicates the importance of context-specific sustainability reporting for enhancing reputation. It provides insights into sustainability's impact on a company's reputation, promoting responsible practices for a sustainable global economy. To the best of the authors' knowledge, this is the first research that utilizes the NFSR frameworks and a sample of firms in China to discuss sustainability reporting with different guidelines.

This paper aims to empirically investigate the factors attracting foreign direct investment (FDI) inflows into emerging economies.

This study uses secondary data from the World Bank and the Global State of Democracy Indices of 16 West African countries (WACs) over the period from 1989 to 2018. Fixed- and random-effects econometric regression models are used to assess the nexus between 12 macroeconomic indicators (including political risk and cultural factors) and FDI inflows into WACs.

The critical drivers of FDI inflows into WACs are the richness of natural resources, market size or gross domestic product (GDP), imports and exports of goods and services, trade openness and the currency's strength as measured by the exchange rate. The result also reveals that French-speaking countries attract more FDI than other English-speaking countries. The previously cited determinants of FDI, such as infrastructural development, inflation, tax and political stability, are insignificant in determining FDI inflows into WACs.

This study uncovers the critical drivers explaining the FDI inflows into WACs, where FDI accounts for 39% of external finance. The study's contribution is that Francophone WACs attract more FDI than Anglophone WACs. The most important drivers of FDI are abundant natural resources, GDP, imports, exports, trade openness and exchange rate.

This study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority weights of maturity model components.

A literature review with a concept-centric analysis enlightens the characteristics of constituent parts and reveals the gaps for each component. Therefore, the interdependency network among model dimensions and priority weights are identified using decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP) method, including 19 industrial experts, and the results are robustly validated with three different analyses. Finally, the applicability of the developed maturity model and the constituent elements are validated in the context of the manufacturing industry with two case applications through a strict protocol.

Results obtained from DEMATEL-based ANP suggest that smart processes with a priority weight of 17.91% are the most important subdimension for reaching higher digital maturity. Customer integration and value, with a priority weight of 17.30%, is the second most important subdimension and talented employee, with 16.24%, is the third most important subdimension.

The developed maturity model enables companies to make factual assessments with specially designed measurement instrument including incrementally evolved questions, prioritize action fields and investment strategies according to maturity index calculations and adapt to the dynamic change in the environment with spiral maturity level identification.

A novel spiral maturity level identification is proposed with conceptual consistency for evolutionary progress to adapt to dynamic change. A measurement instrument that is incrementally structured with 234 statements and a measurement method that is based on the priority weights and leads to calculating the maturity index are designed to assess digital maturity, create an improvement roadmap to reach higher maturity levels and prioritize actions and investments without any external support and assistance.

This study aims to explore the determinants of public debt in selected South Asian Association for Regional Cooperation (SAARC) countries for 19 years, from 2001 to 2019.

Using ordinary fixed and random effect models, the authors examine the role of internal and external factors in determining the composition of public debt. Furthermore, for robustness, they compare the results with two-stage least square (2SLS) regression estimates after considering the problem of endogeneity, overidentification, under-identification and weak instruments.

The findings show that among the selected macroeconomic variables, inflation, exchange rate and broad money have significant negative effects on the debt-GDP ratio. In contrast, military spending, corruption and interest rates appear to positively influence the same as per 2SLS results. From the policymaking perspective, SAARC countries should focus more on reducing military spending and make a concerted effort to augment investments in productive projects. Further, with strong fiscal consolidation and institutional quality, it is important to mitigate the frequent occurrence of corruption conundrums in emerging economies for the development of a transparent economic system.

The study is distinct from previous studies in two ways. First, to the best of the authors’ knowledge, there are no studies focusing on SAARC countries in the context of public debt. Second, the study expands the existing literature on public debt by taking into account both external and internal debts to decipher the within-country and cross-country determinants of debt accumulation. More specifically, this model considers accountability and transparency in the public sector, cross-border security challenges and benefits of globalization by including explanatory variables such as corruption, military expenditure spending and capital inflows.

The choice between different financing sources is governed by a number of finance theories, particularly, trade-off theory and pecking order theory. However, the special characteristics of Islamic finance, which forces the exclusion of conventional bonds, leave Islamic banks with limited number of alternatives. Tier 1 sukuk are distinguished type of sukuk that combines the features of conventional bonds and stocks. This paper aims to answer the following question: Does the issuance of Tier 1 sukuk positively affect Islamic banks’ profitability or is their impact concentrated on enhancing Islamic banks’ capital adequacy ratios?

The data set used in this study consists of all United Arab Emirates (UAE) Islamic banks that issued Tier 1 sukuk over the period 2010–2020. Pooled and fixed effects panel regressions of Tier 1 sukuk and other control variables on three proxies of Islamic banks’ profitability were run. The selection of fixed-effect model is based on Hausman test, redundant fixed effects and likelihood ratio test.

This study reveals novel findings. Tier 1 sukuk increases both earnings per share (EPS) and capital adequacy ratios. That is, this study finds that there is a positive significant impact of Tier 1 sukuk on EPS, which indicates that issuing more Tier 1 sukuk will generate more return to shareholders in terms of higher EPS because of the lower cost of Tier 1 sukuk compared to equity. However, this study finds that there is an insignificant impact of Tier on sukuk on both return on assets and return on equity. Hence, it is concluded that Tier 1 sukuk does not increase the risk appetite of UAE Islamic banks.

Tier 1 sukuk is a niche instrument that has been recently used by Islamic banks. Hence, there are a limited number of Islamic banks that have issued this type of sukuk and consequently limited number of observations. Therefore, with the increased use of this instrument, a larger set of data will be available for examination. In addition, future research could examine the relationship between issuing Tier 1 sukuk and profitability in other countries where such sukuk have loss absorption feature. The impact of other types of sukuk, such as liability sukuk, on Islamic banks’ profitability could also be an interesting field of study.

This study recommends Islamic banks to issue more Tier 1 sukuk to enhance their profitability indicators while meeting Basel III accord. This study also recommends investors to purchase the stocks of Islamic banks that issue Tier 1 sukuk because they are able to offer them higher EPS. The authors advise the UAE regulators to allow Islamic banks to issue Tier 1 sukuk with loss absorption feature to enable Islamic banks engage in more risky activities that usually provide larger profits. This study also suggests that the Islamic Financial Services Board (IFSB) reclassifies Tier 1 sukuk, with loss absorption feature, within the highest quality of capital, common equity Tier 1, to encourage Islamic banks to issue this type of sukuk, especially Basel III accord and IFSB 15 require higher ratios of common equity Tier 1 to risk-weighted assets.

This research contributes to the existing literature in two ways. First, it adds to the existing literature on the impact of sukuk on Islamic banks profitability. That is, contrary to prior studies that merely investigate the impact of issuing ordinary sukuk on profitability, this study explores a distinguished type of sukuk, that is Tier 1 sukuk, that has been surprisingly ignored so far. Second, this study shows that it is not only capital adequacy ratios that have improved as a result of issuing Tier 1 sukuk but also Tier 1 sukuk reduce the cost of capital of UAE Islamic banks which has been reflected in a higher profitability proxied by EPS. Hence, these sukuk serve a dual function for Islamic banks by improving both capital adequacy and profitability ratios.