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The purpose of this paper is to assess the success factors in a large organization that contributed to the success of organizational transformation (OT) through business diversification using a complex adaptive systems (CAS) framework. This assessment is done to determine how well the CAS framework can explain the success factors that contribute to the success of large-scale organizational change in complex organizations. If the CAS framework is capable of explaining the organizational factors that lead to the success of change implementation, the managers can employ this framework to increase the likelihood of success while implementing change.

This study uses qualitative research methodology. The data were collected from the case study organization (CSO) through 40 in-depth semi-structured interviews and analyzed using thematic deductive analysis approach.

The CAS framework explains the success factors that contribute to the success of OT through business diversification.

This paper provides a comprehensive guide for change implementation by combining the insights from the CAS framework with identified success factors (for change implementation) from the case organization.

The originality of this paper lies in extending the principles of existing change models, for successful change implementation by using the CAS framework. The prescribed change models and the CAS framework/complexity theory are two distinct sets of literature; this paper successfully merges the two to develop a comprehensive set of guidelines for change implementation. By doing so, this paper highlights the fact that alternative, non-linear, change approaches, instead of conventional multistep change models, can be effective in implementing large-scale organizational change successfully given the complexities of current organizational environments.

A slew of conventional change models and theories appear in the extant change literature. Despite being theoretically sound, these a priori structured approaches to organizational change management have questionable application given the rapidly changing business environments. Novel approaches, offering greater flexibility to fast changing external conditions, may offer superior models to organizational change and organizational transformation (OT) in particular. In this paper, the application of a complex adaptive system (CAS) framework, from complexity theory (CT), for managing OT is assessed theoretically.

A conceptual paper.

A review of the extant change literature suggests that current approaches and models for organizational change are limited in their ability to reflect OT responses to today's highly dynamic external environments. New models are required to inform and guide organizations. A new model, i.e. CAS framework, is deemed suitable to guide the OT implementation.

This paper critically analyses different approaches to change management, consolidates CAS framework, reviews its applications in the field of management and presents a case for CAS's application for the management of OT.

Postgraduate students who are more mature and have greater job experience are more likely to be inclined towards entrepreneurship. However, postgraduate students face various barriers such as lack of funds, fear of failure and lack of social networking that may hinder their entrepreneurial inclination. The barriers faced by these postgraduate students may also exhibit different dimensions compared with barriers faced by existing entrepreneurs. This study aims to examine the relationship between perceived barriers to entrepreneurship and entrepreneurial inclination.

Based on a survey‐based methodology, data were collected from a sample of 267 postgraduate students from various Malaysian universities. Respondents' perception towards five barriers to entrepreneurship (aversion to risk, fear of failure, lack of resources, lack of social networking, and aversion to stress and hard work) and their entrepreneurial inclination were assessed.

The model R‐squared indicated that 31.5 percent of the variation in the entrepreneurial inclination is explained by the five perceived barriers. The highest ranked barrier to entrepreneurship was lack of social networking followed by lack of resources and aversion to risk.

The findings in this study cannot be generalized to non‐student populations since it covers only postgraduate students. The quantitative approach used was unable to uncover in‐depth information on the various barriers. A qualitative approach may be more appropriate to obtain further details.

This research provides interesting insights into the entrepreneurship barriers faced by postgraduate students from a developing nation where such research is lacking.

The aim of this study is to examine the perceptions of consumers on Islamic banking and finance in Pakistan. Islamic finance is an emerging phenomenon, and its survival depends on the availability, affordability and awareness. This paper attempts to fill the gap in the literature by exploring the perceptions of consumers and bankers in an attempt to gain insights so that the availability of products and awareness can be increased.

The study uses a regression model by using perception as a dependent variable and awareness, knowledge and religious motivation as independent variables. Primary data is collected using 150 questionnaires distributed amongst finance students in several universities and employees of Islamic banks in the Khyber Pakhtunkhwa (KPK) Province of Pakistan.

The findings reveal that overall consumers’ perception is positive about Islamic banking and finance in Pakistan. Statistical analysis shows that awareness, knowledge and religiosity level have a positive influence on the perception of consumers about Islamic financing products and services in Pakistan. To improve the awareness and understanding, Islamic banks could make better marketing strategies and could increase their presence by mosque visits and conferences. Cooperation between the industry and scholars could help in providing more innovative products to the consumers.

There has been a limited amount of work carried out on the perceptions of consumers about Islamic banking in Pakistan. The present study represents the start of a larger context for examining Islamic banking practices in Pakistan. The findings of the study can be used as a reference in future research projects in the areas of perceptions and awareness.

Little research has been conducted to study this problem from the perspectives of consumers and Islamic banking employees. Most of the research associated with Islamic banks fails to pay attention to these stakeholder groups in one study.

The perception of Islamic finance by its various stakeholders is not always reconcilable. Its foundations and attributes are subject to a plurality of perceptions making it almost impossible to reach a consensus about them. This paper aims to understand the perception of Islamic finance by bank employees in Cameroon.

This research follows the interpretativist paradigm and is qualitative and exploratory in nature. The data are collected through semi-structured face-to-face interviews with bank employees, mainly branch managers. These interview data are analysed using the thematic analysis method.

Bank employees in Cameroon perceive Islamic finance as a finance that: targets everyone, regardless of religion, but Muslims first (Islamic finance is both inclusive and exclusive); offers original products and services; has a religious anchor that may hinder non-Muslim economic agents; has many advantages, mainly for financial institutions, and some limitations for financial institutions and their customers; is full of opportunities for its stakeholders; and is not yet fully practiced in Cameroon.

This study mobilises a qualitative approach, provides new insights into the research on the perception of Islamic finance and reaches a consensus on the perception of certain aspects and attributes of Islamic finance, namely, for the perception of the target and the Shariah compliance of Islamic finance. Furthermore, this study is a pioneering effort to understand bank employees’ perception of Islamic finance in non-Islamic and developing countries where Islamic finance is underdeveloped.

This study aims to provide insights into gender diversity in Pakistani boardrooms, particularly for the dominant family business type, which is strongly guided by (non-financial) family-related objectives when making business decisions, such as the appointment of board members. Pakistani companies operate within the framework of weak legal institutions and a traditionally highly patriarchal environment. This study examines how corporate decisions regarding the appointment of female board members play out in this socio-political and cultural environment.

Board composition and board characteristics were examined using hand-collected data from 213 listed family firms and non-family firms on the Pakistan Stock Exchange from 2003 to 2017. Univariate analyses, probit regressions and robustness tests were performed.

Pakistani family firms have a significantly higher proportion of women on their boards than do non-family firms. They are also significantly more likely to appoint women to top positions, such as CEO or chairs.

Evidently, women are allowed to enter boards through family affiliations. Gender quotas appear an ineffective instrument for breaking through the “glass ceiling” in this socio-cultural environment. Thus, gender parity must entail the comprehensive promotion of women and the enforcement of legal reforms for structural and cultural change.

The analysis focuses on a Muslim-majority emerging Asian market that has been scarcely researched, thus offering new perspectives and insights into board composition and corporate governance that go beyond the well-studied Western countries.

This study aims to model the important flow response quantities over a shrinking wedge with the help of response surface methodology (RSM) and an artificial neural network (ANN). An ANN simulation for optimal thermal transport of incompressible viscous fluid under the impact of the magnetic effect (MHD) over a shrinking wedge with sensitivity analysis and optimization with RSM has yet not been investigated. This effort is devoted to filling the gap in existing literature.

A statistical experimental design is a setup with RSM using a central composite design (CCD). This setup involves the combination of values of input parameters such as porosity, shrinking and magnetic effect. The responses of skin friction coefficient and Nusselt number are required against each parameter combination of the experimental design, which is computed by solving the simplified form of the governing equations using bvp4c (a built-in technique in MATLAB). An empirical model for Cf_x and Nu_x using RSM and ANN adopting the Levenberg–Marquardt algorithm based on trained neural networks (LMA-TNN) is attained. The empirical model for skin friction coefficient and Nusselt number using RSM has 99.96% and 99.99% coefficients of determination, respectively.

The values of these matrices show the goodness of fit for these quantities. The authors compared the results obtained from bvp4c, RSM and ANN and found them all to be in good agreement. A sensitivity analysis is performed, which shows that Cf_x as well as Nu_x are most affected by porosity. However, they are least affected by magnetic parameters.

This study aims to simulate ANN and sensitivity analysis for optimal thermal transport of magnetic viscous fluid over shrinking wedge.

This study aims to fabricate multiwalled carbon nanotubes (MWCNTs)-mediated polyvinyl alcohol (PVA) composite films using the solution casting approach.

The prepared films were evaluated for diverse structural, surface, optical and electrical attributes using advanced analytical techniques, i.e. electron microscopy for surface morphology, Fourier transform infrared spectroscopy for tracing chemical functionalities, x-ray diffraction (XRD) for crystal patterns, water contact angle (WCA) analysis for surface wettability and UV visible spectroscopy for optical absorption parameters. The specimens were also investigated for certain rheological, mechanical and electrical properties, where applicable.

The surface morphology results expressed a better dispersion of MWCNTs in the resultant PVA-based nanocomposite film. The XRD analysis exhibited that the nanocomposite film was crystalline. The surface wettability analysis indicated that with the inclusion of MWCNTs, the WCA of the resultant nanocomposite film improved to 89.4° from 44° with the pristine PVA film. The MWCNTs (1.00%, w/w) incorporated PVA-based film exhibited a tensile strength of 54.0 MPa as compared to that of native PVA as 25.3 MPa film. There observed a decreased bandgap (from 5.25 to 5.14 eV) on incorporating the MWCNTs in the PVA-based nanocomposite film.

The MWCNTs’ inclusion in the PVA matrix could enhance the AC conductivity of the resultant nanocomposite film. The prepared nanocomposite film might be useful in designing certain optoelectronic devices.

The results demonstrated the successful MWCNTs mediation in the PVA-based composite films expressed good intercalation of the precursors; this resulted in decreased bandgap, usually, desirable for optoelectronic applications.

This study aims to examine the relationship between financial inclusion, CO₂ emissions and financial sustainability across 17 African countries.

Data were sourced from the World Development Indicators for the period 2004-2021. The study performs the principal component analysis, panel fixed effects model and quantile regression estimations to investigate the relationship between financial inclusion, CO₂ emissions and financial sustainability.

The study finds that an increase in automated teller machine (ATM) penetration rate, savings and credits increases CO₂ emissions. Findings also reveal that financial sustainability reduces financial inclusion, with significant negative effects on the conditional mean of CO₂ emissions and the conditional distribution of CO₂ emissions across quantiles.

This study is beneficial for policymakers, particularly in the age of digitalization and drive for low-carbon emissions, to develop green credits for energy players and investors to take up renewable and green energy projects characterized by high levels of carbon storage and carbon capture. Further, the banking sector’s credits and liquid assets should be used to finance alternative banking energy-related equipment and services, such as solar photovoltaic wireless ATMs, and fewer bank branches.

This study examines the impact of various macroeconomic, financial and institutional factors, including foreign direct investment (FDI), financial development (FD), freedom dimensions and institutional sub-systems on CO2 emissions across 30 countries over 23 years (2002–2023). The research aims to uncover both the short-term and long-term effects of these variables on environmental sustainability.

A Pooled Mean Group – Autoregressive Distributed Lag (PMG-ARDL) model is employed to analyze panel data from 30 countries over the period 2002–2023. The model was selected using the Akaike Information Criterion (AIC) to account for both long-term and short-term dynamics in the relationship between the studied variables and CO2 emissions.

The results reveal that in the long term, most variables, including FDI, financial development and economic freedom, have significant impacts on CO2 emissions, with varying directions. In contrast, short-term effects are largely insignificant, indicating that the environmental impacts of economic and institutional factors are more pronounced over extended periods.

The findings suggest that policymakers need to consider the long-term environmental consequences of economic and financial policies. For instance, while financial development and economic freedom may drive growth, they also contribute to higher CO2 emissions, necessitating a comprehensive and inclusive approach to sustainable development.

This study provides a comprehensive analysis of the interplay between financial, institutional and freedom dynamics and their impact on CO2 emissions, offering valuable insights for policymakers focused on achieving sustainable economic development. Using the PMG-ARDL model adds robustness to the findings by capturing both short-term and long-term effects.