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The purpose of this paper is to develop a preliminary conceptual scale for the measurement of distributed manufacturing (DM) capacity of manufacturing companies operating in rubber and plastic sectors.

A two-step research methodology is employed. In first step, the dimensions of DM and different levels of each dimension have been defined. In second step, an empirical analysis (cluster analysis) of database firms is performed by collecting the data of 38 firms operating in Italian mould manufacturing sector. Application case studies are then analyzed to show the use of the proposed DM conceptual scale.

A hyperspace, composed of five dimensions of DM, i.e. manufacturing localization; manufacturing technologies; customization and personalization; digitalization; and democratization of design, is developed and a hierarchy is defined by listing the levels of each dimension in an ascending order. Based on this hyperspace, a conceptual scale is proposed to measure the positioning of a generic company in the DM continuum.

The empirical data are collected from Italian mould manufacturing companies operating in rubber and plastic sectors. It cannot be assumed that the industrial sectors in different parts of the world are operating under similar operational, regulatory and economic conditions. The results, therefore, might not be generalized to manufacturing companies operating in different countries (particularly developing countries) under different circumstances.

This is first preliminary scale of its kind to evaluate the positioning of companies with respect to their DM capacity. This scale is helpful for companies to compare their capacity with standard profiles and for decision making to convert the existing manufacturing operations into distributed operations.

Lean distributed manufacturing (LDM) is being considered as an enabler of achieving sustainability and resilience in manufacturing and supply chain operations. The purpose of this paper is to enhance the understanding of how LDM characteristics affect the resilience of manufacturing companies by drawing upon the experience of food manufacturing companies operating in the UK.

The paper develops a conceptual model to analyse the impact of LDM on the operational resilience of food manufacturing companies. A triangulation research methodology (secondary data analysis, field observations and structured interviews) is used in this study. In a first step, LDM enablers and resilience elements are identified from literature. In a second step, empirical evidence is collected from six food sub-sectors aimed at identifying LDM enablers being practised in companies.

The analysis reveals that LDM enablers can improve the resilience capabilities of manufacturing companies at different stages of resilience action cycle, whereas the application status of different LDM enablers varies in food manufacturing companies. The findings include the development of a conceptual model (based on literature) and a relationship matrix between LDM enablers and resilience elements.

The developed relationship matrix is helpful for food manufacturing companies to assess their resilience capability in terms of LDM characteristics and then formulate action plans to incorporate relevant LDM enablers to enhance operational resilience.

Based on the literature review, no studies exist that investigate the effects of LDM on factory’s resilience, despite many research studies suggesting distributed manufacturing as an enabler of sustainability and resilience.

Pakistan had never been a place of serious and nuanced debate and contestation of politics of postcolonial critique, that is, the continuity of economic, political, and cultural dependency of newly independent countries (NICs) on ex-colonizers as pointed out by neocolonialism, dependency theory, and postcolonial theory, respectively. Instead, Pakistan is presented by extant liberal academic literature as a “failed nation” and a state dominated by the military and plagued by religious extremism. As opposed to this, through the literary and activists writings of Aziz-ul-Haq, this chapter will try to illustrate how cultural contestation of the nation-building project postindependence from British rule was a lot more complex and interesting in Pakistan. This was so because the nation-building project of Pakistan was, on the one hand, an amalgamation of Indo-Persian, Arab, Indian, and Western colonial and civilizational influences and, on the other hand, entailed suppression of resilient local and national cultures of its constituent nationalities developed over centuries. This was later expressed in ethno-nationalist politics. However, when it came to the politics of the marginalized in the late 1960s, there were important political, theoretical, and literary insights which caused a change in the direction of political practice in Pakistan, which paralleled the politics expressed by writers like Fanon and early Subaltern Studies influenced by the Naxal Movement in India. The contestation and confusion arising from this dialectic also entered Pakistan's literary and cultural sphere. This chapter not only tries to give a different postcolonial critique of the failure of nation-building project in Pakistan but, though at a preliminary level, is an attempt to separate the original postcolonial theory in its radical tradition from contemporary postmodern/poststructuralist postcolonial theory marked with pessimism and resignation.

The study aims to numerically examine the impact of nanoparticles on an unsteady flow of a Williamson fluid past a permeable convectively heated shrinking sheet.

In sort of the solution of the governing differential equations, suitable transformation variables are used to get the system of ODEs. The converted equations are then numerically solved via the shooting technique.

The impacts of such parameters on the velocity profile, temperature distribution and the concentration of nanoparticles are examined through graphs and tables. The results point out that multiple solutions are achieved for certain values of the suction parameter and for decelerating flow, while for accelerating flow, the solution is unique. Further, the non-Newtonian parameter reduces the fluid velocity and boosts the temperature distribution and concentration of nanoparticles in the first solution, while the reverse drift is noticed in the second solution.

The current results may be used in many applications such as biomedicine, industrial, electronics and solar energy.

The authors think that the current results are new and significant, which are used in many applications such as biomedicine, industrial, electronics and solar energy. The results have not been considered elsewhere.

The purpose of this study is to comparatively analyze the effect of dividend policy on shareholders’ wealth in Shariah-compliant (SC) and noncompliant (NC) nonfinancial firms in Pakistan.

All the nonfinancial firms listed on the Pakistan stock exchange have been taken as a sample for 2016–2021. The Karachi Meezan index screening criteria were applied to screen SC firms. Based on the BPLM and Hausman test results, the authors used the fixed-effect and pooled OLS model for SC and NC firms, respectively. The F-test was used to compare the effect of each dividend policy variable on shareholders’ wealth for both firm types.

The findings reveal that the dividend policy does affect the shareholders’ wealth in both firm types. Dividend per share (DPS), dividend yield (DY) and earnings per share significantly affect the shareholders’ wealth in SC firms. For NC firms, the dividend payout, DPS and DY are critical. Moreover, the F-test results show that the DPS, DY and leverage effect on the shareholders’ wealth significantly differ for both firm types.

This study fills the research gap in the Pakistani context specifically as well as globally by providing important insights into the relationship between a firm’s dividend policy and shareholders’ wealth for SC and NC firms. In addition, this study comprehensively compares the results for both firm types, which is also lacking in the existing literature. Because this study is based in Pakistan, the generalizability of the results would be limited.

The findings of this study are helpful for the management of SC and NC firms in devising their dividend policies that can maximize their shareholders’ wealth. This study also provides guidance and knowledge to investors in choosing companies for their investments that can maximize their wealth.

To the best of the authors’ knowledge, this is the first study that analyzes the relationship between dividend policy and shareholders’ wealth for SC firms in Pakistan. It is also the first study that comprehensively compares the dividend policy relationship with shareholders’ wealth for SC and NC firms. In addition, using the F-test for joint hypotheses to compare the specific effect of each dividend policy variable is a methodological contribution of the study.

The study highlights our findings, including the confirmation of phase stability through XRD analysis, the characterization of optical properties revealing high absorption and conductivity and the analysis of mechanical stability through elastic constants. Additionally, we present detailed results on the band gap, EELS analysis and the suitability of SrZrO3 perovskite oxides for next-generation optoelectronic devices.

Cubic SrZrO₃ perovskite oxides were designed within the framework of density functional theory (DFT) via the CASTEP code under varying stress conditions (0–100 GPa), aiming to explore the key properties for diverse applications. The phase stability was confirmed by XRD analysis. From 0 to 40 GPa, there is an increase in the band gap from 3.330 to 3.615 eV, while it narrows from 3.493 to 3.155 eV beyond 60 GPa. The optical characteristics revealed high absorption, superior conductivity and a lower loss function. Significantly, the elastic constants (C₁₁, C₁₂ and C₄₄) satisfy the Born-stability criterion, ensuring the mechanical stability of the compound. Additionally, the Poisson’s ratio, Pugh ratio (B/G), Frantsevich ratio, Cauchy pressure (P_C) and anisotropy factor ensured both ductile and anisotropic characteristics. Higher values of Young’s modulus and shear modulus signify a superior ability to withstand longitudinal stresses. In the EELS analysis, distinctive energy-loss peaks resulting from absorption and emission correlated with diverse electronic transitions and energy levels associated with Sr, Zr and O atoms are used to probe the precise exploration of the electronic and optical characteristics of materials with a high degree of accuracy. Based on these findings, the designed SrZrO₃ perovskite oxides are particularly suitable for applications in various optoelectronic devices.

CASTEP codes were utilized to design the cubic SrZrO₃ perovskite under varying stress conditions ranging from 0 to 100 GPa. The phase stability was confirmed through XRD analysis. A distinctive trend in the band gap was observed: an increase from 3.330 eV to 3.615 eV as the stress increased from 0 to 40 GPa and a decrease from 3.493 to 3.155 above 60 GPa. A higher absorption and conductivity and a lower loss function were found for the optical properties. The mechanical stability was ensured by elastic constants (C₁₁, C₁₂, and C₄₄) satisfying the Born-stability criteria. Additionally, the Poisson’s ratio, Pugh’s ratio (B/G), Frantsevich ratio, Cauchy pressure (P_C) and anisotropy factor were used to verify the ductility and anisotropy of the materials. Higher values of Young’s modulus and shear modulus indicate a superior ability to withstand longitudinal stresses. EELS analysis revealed distinctive energy-loss peaks associated with Sr, Zr and O atoms, enabling precise exploration of the electronic and optical characteristics with a high degree of accuracy. As expected, the designed SrZrO₃ perovskite oxides exhibit favorable properties, making them particularly suitable for next-generation optoelectronic devices.

In this study, we utilized DFT within the CASTEP code framework to investigate the properties of cubic SrZrO₃ perovskite oxides under varying stress conditions ranging from 0 to 100 GPa. Our research aimed to explore the key properties of SrZrO₃ for diverse applications, particularly in optoelectronic devices.

Platform-based enterprises, as micro-entities in the platform economy, have the potential to effectively promote the low-carbon development of both supply and demand sides in the supply chain. Therefore, this paper aims to provide a multi-criteria decision-making method in a probabilistic hesitant fuzzy environment to assist platform-type companies in selecting cooperative suppliers for carbon reduction in green supply chains.

This paper combines the advantages of probabilistic hesitant fuzzy sets (PHFS) to address uncertainty issues and proposes an improved multi-criteria decision-making method called PHFS-DNMEREC-MABAC for aiding platform-based enterprises in selecting carbon emission reduction collaboration suppliers in green supply chains. Within this decision-making method, we enhance the standardization process of both the DNMEREC and MABAC methods by directly standardizing probabilistic hesitant fuzzy elements. Additionally, a probability splitting algorithm is introduced to handle probabilistic hesitant fuzzy elements of varying lengths, mitigating information bias that traditional approaches tend to introduce when adding values based on risk preferences.

In this paper, we apply the proposed method to a case study involving the selection of carbon emission reduction collaboration suppliers for Tmall Mart and compare it with the latest existing decision-making methods. The results demonstrate the applicability of the proposed method and the effectiveness of the introduced probability splitting algorithm in avoiding information bias.

Firstly, this paper proposes a new multi-criteria decision making method for aiding platform-based enterprises in selecting carbon emission reduction collaboration suppliers in green supply chains. Secondly, in this method, we provided a new standard method to process probability hesitant fuzzy decision making information. Finally, the probability splitting algorithm was introduced to avoid information bias in the process of dealing with inconsistent lengths of probabilistic hesitant fuzzy elements.

The present study analyzes the research articles linking quality management practices (QMP) and quality of work life (QWL). The investigation leads toward the formulation of the hypothesis and developing a conceptual framework of QMP and QWL.

The study uses a systematic literature review to explore the relationship between QMP and QWL using the Scopus, Web of Science, PubMed, Eric, IEEE Xplore, ScienceDirect, Directory of Open Access Journals (DOAJ), and Google Scholar database and identifies critical factors of QMP and QWL using Pareto analysis. Further study proposes a conceptual framework of articles linking QMP and QWL.

A thorough review of the literature identifies three different categories of research articles: “factor identification” articles, “QMP implementation” articles, “scale development” articles, and “influence of QMP on various organizational and employees-related factors” articles. Many studies have attempted to study the relationship and influence of QMP on employee-related factors but not by considering them holistically, thus, underlining the significant gap in the QMP and HRM literature.

To review the literature on QMP and QWL, only a handful of databases were reviewed. Further, the proposed conceptual model is based on the QMP and QWL/HRM literature review, and it is not empirically validated. Further research can be considered to test and validate the proposed conceptual framework empirically.

This study highlights a gap in the existing research studies and an incomplete consideration of employees' aspects of QWL. Researchers and organizations are advised to adopt a broader view while assessing QMP implementation's influence on employees.

This study uses a systematic literature review and Pareto analysis to find the critical factors of QMP and QWL, thus providing a new research avenue for researchers, quality experts and human resource managers to consider all the aspects of employees, that is, QWL of employees, to understand the influence of QMP on employees to achieve firm success.

This study aims to propose and validate the Holistic and Prosperous Education (HOPE) model to address the tertiary student loan burden of poor students in Malaysia’s public higher education.

This study employed an interpretivism paradigm to understand experts’ perspectives on the proposed HOPE model in higher education. Thus, the inductive approach is employed to better understand the research context and structure. The study uses a case study approach and interviews with four experts, covering information on the proposed HOPE model and respondents’ views on its practicability and validity.

The findings suggest a phased approach for disadvantaged students, aligning with Shariah’s objectives. Implementing the HOPE model at Malaysia’s local higher education (MLHE) could potentially catalyse transformative change within the higher education landscape. The HOPE model offers a promising alternative that harmonizes social responsibility, religious principles and institutional sustainability, addressing the persistent issue of student loan debt while fostering a more inclusive and prosperous educational environment.

The HOPE model can benefit students, educational institutions and the National Higher Education Fund Corporation (NEFC) financial sustainability. It emphasizes the responsible utilization of zakat funds and showcases its impact in addressing financial problems faced by students.

This study offers in-depth feedback from the various stakeholders, such as the top management of MLHE, NEFC and Shariah scholars, on the debt issues among tertiary students and the HOPE model proposed in this study to mitigate the loan burden problem among poor Muslim students.