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This study explores the reasons behind the popularity of majoring in Public Relations as opposed to Journalism or Digital Media among mass communications undergraduates in Oman. It attempts to gain insight into the factors influencing students’ decision-making process in selecting their major. It explores factors such as choice of major and sources of information that shape students’ knowledge and perception of the majors, using variables such as knowledge of job market, knowledge of curriculum, information sources and personal influences shaping major choice and selection. The study confirms that perception of the job market is a crucial factor in the selection of the majors. It also reveals that family plays a crucial role in influencing students’ decision-making process while choosing a major. The study concludes that strengthening the role of the academic advisor and educating students on course content and learning outcomes can increase the acceptance of less popular majors among communication undergraduates. The study is relevant in the context that the falling numbers of student enrolments in some areas of media studies could lead to a decline in teaching and research activities in those areas, in addition to a possible shortfall of specific skilled professionals in the national labour market pool.

The purpose of this paper is to examine and review the available literature on ethical/unethical behaviour of pharmaceutical companies and to determine the ethical issues, unethical behaviour by analysing, summarising and categorising the factors related to these issues and unethical behaviour as were studied during the period 2008-2017. Essentially, this paper presents a critical analysis of the available literature on the subject and avenues for future research.

This paper adopted the systematic review approach to achieve the purpose of this study and examines the most relevant literature from online existing database sources, available between 2008-2017 by using the keyword search method. Then studies are categorised and summarised, using previously developed theories and frameworks, which have provided evidence to the universal consensus that ethical behavioural outcomes are dependent on the interplay of individual, organisational and environmental factors and have reordered to fulfil the purpose.

The findings identify that ethical issues related to pharmaceutical companies as were studied during the period 2008-2017 are drug pricing, drug safety and gift-giving. The organisational variables appeared to be the dominant cause of these ethical issues and unethical practices along with other determinants such as environmental and stakeholders. A large number of studies were in the western country context. Theoretical research has studied more comparatively empirical studies.

This review provides insights for understanding the ethical issues, unethical behaviour and determinants related to these issues of pharmaceutical companies and provides insights where the literature is standing. This review only includes studies between 2008-2017, which are related to the ethical issue of pharmaceutical companies, therefore, the view is only of the past 10 years papers. This review provides gaps and insight into the source of ideas for future research and will help the researchers in guiding ethics-related information in the context of pharmaceutical companies.

This study will help the practitioners and policymakers in informing about the issues that required the urgent need to solve and will shed some light to focus and formulate strategies for successful competitive advantage. This study will help researchers who are seeking information related to ethics and ethical behaviour in pharmaceutical companies.

To the best of my knowledge, this review of understanding ethical/unethical behaviour in pharmaceutical companies of the past 10 years between 2008-2017 has not been done to date. This study is filling the gap by bringing all the information about ethics in pharmaceutical companies at one place, which works as an index of ethics-related study in this specific pharmaceutical company context.

The purpose of this paper is to study haemodynamic flow characteristics and entropy analysis in a bifurcated artery system subjected to stenosis, magnetohydrodynamic (MHD) flow and aneurysm conditions. The findings of this study offer significant insights into the intricate interplay encompassing electro-osmosis, MHD flow, microorganisms, Joule heating and the ternary hybrid nanofluid.

The governing equations are first non-dimensionalised, and subsequently, a coordinate transformation is used to regularise the irregular boundaries. The discretisation of the governing equations is accomplished by using the Crank–Nicolson scheme. Furthermore, the tri-diagonal matrix algorithm is applied to solve the resulting matrix arising from the discretisation.

The investigation reveals that the velocity profile experiences enhancement with an increase in the Debye–Hückel parameter, whereas the magnetic field parameter exhibits the opposite effect, reducing the velocity profile. A comparative study demonstrates the velocity distribution in Au-CuO hybrid nanofluid and Au-CuO-GO ternary hybrid nanofluid. The results indicate a notable enhancement in velocity for the ternary hybrid nanofluid compared to the hybrid nanofluids. Moreover, an increase in the Brinkmann number results in an augmentation in entropy generation.

This study investigates the flow characteristics and entropy analysis in a bifurcated artery system subjected to stenosis, MHD flow and aneurysm conditions. The governing equations are non-dimensionalised, and a coordinate transformation is applied to regularise the irregular boundaries. The Crank–Nicolson scheme is used to model blood flow in the presence of a ternary hybrid nanofluid (Au-CuO-GO/blood) within the arterial domain. The findings shed light on the complex interactions involving stenosis, MHD flow, aneurysms, Joule heating and the ternary hybrid nanofluid. The results indicate a decrease in the wall shear stress (WSS) profile with increasing stenosis size. The MHD effects are observed to influence the velocity distribution, as the velocity profile exhibits a declining nature with an increase in the Hartmann number. In addition, entropy generation increases with an enhancement in the Brinkmann number. This research contributes to understanding fluid dynamics and heat transfer mechanisms in bifurcated arteries, providing valuable insights for diagnosing and treating cardiovascular diseases.

The purpose of this paper is to study the various modalities of production outsourcing service and compare three different models, namely: standard accounting, theory of constraints (TOC) and linear programming (LP) enhancement of TOC.

This is a diagnostic study concerned with accurately describing the characteristics of outsourcing phenomenon and defining clearly the objective function and the associated constraints. The optimization models have been constructed and analyzed in a real‐life situation by collecting data with sufficient precision.

This paper brings out distinctively different options for outsourcing services and compares the results with the findings available in literature. The significant finding is that it is an imperative to evaluate the outsourcing approaches from a situational perspective governed by internal and external constraints imposed by competitive forces.

This research does not embrace the sensitivity of various cost parameters as well as the fuzziness of the dynamics of competition.

The models and the analyses would facilitate systemic decision support to production, procurement and marketing managers engaged in the competitive value chain. For successful outsourcing, the business goals must be validated with financial justification. Outsourcing is not only carried out in cases of non‐availability of resources internally, or to meet the peak demand, but also it helps in cash infusion, reduction in operating costs and restructuring of resources.

Manufacturing organizations should not only implement outsourcing in an ad hoc manner but should try to innovate on different outsourcing practices and should make attempts to study and analyze methods that are better and the best to attain competitive advantage.

This paper aims to present a novel bi-objective mathematical model for a production-inventory system under uncertainty.

This paper addresses agile and lean manufacturing concepts alongside with green production methods to design an integrated capacitated lot sizing problem (CLSP). From a methodological perspective, the problem is solved in three phases. In the first step, an FM/M/C queuing system is used to minimize the number of customers waited to receive their orders. In the second step, an effective approach is applied to deal with the fuzzy bi-objective model and finally, a hybrid metaheuristic algorithm is used to solve the problem.

Some numerical test problems and sensitivity analyzes are conducted to measure the efficiency of the proposed model and the solution method. The results validate the model and the performance of the solution method compared to Gams results in small size test problems and prove the superiority of the hybrid algorithm in comparison with the other well-known metaheuristic algorithms in large size test problems.

This paper presents a novel bi-objective mathematical model for a CLSP under uncertainty. The proposed model is conducted on a practical case and several sensitivity analysis are conducted to assess the behavior of the model. Using a queue system, this problem aims to reduce the items waited in the queue to receive service. Two objective functions are considered to maximize the profit and minimize the negative environmental effects. In this regard, the second objective function aims to reduce the amount of emitted carbon.

In this introduction, the authors outline some critical reflections on the sociology of knowledge within management and organization theory. Based on a review of various works that form a sociology of organizational knowledge, the authors identify three approaches that have become particularly prominent ways by which scholars explore how knowledge about organizations and management is produced: First, reflective and opinion essays that organization studies scholars offer on the basis of what can be learned from personal experience; second, descriptive craft-guides that are based on more-or-less comprehensive surveys on doing research; third, papers based on systematic research that are built upon rigorous collection and analysis of data about the production of knowledge. Whereas in the studies of organizing the authors prioritize the third approach, that is knowledge produced based on systematic empirical research, in examining our own work the authors tend to privilege the other two types, reflective articles and surveys. In what follows the authors highlight this gap, offer some explanations thereof, and call for a better appreciation of all three ways to offer rich understandings of organizations, work and management as well as a fruitful sociology of knowledge in our field.

The purpose of this paper is to investigate a supply chain consisting of a producer and multiple suppliers of a type of component needed for the production of a certain product. The effects of carbon emission taxes, quality of components and human inspection errors as well as the collaboration among the supply chain members are considered.

A mathematical model is formulated for a non-collaborative supply chain, and the optimal policy is shown to be the solution of a constraint optimization problem. The mathematical model is modified to the case of a collaborative supply chain and to account for inspection errors. Algorithms are provided, and a numerical example is given to illustrate the determination of the optimal policy.

This study offers a new conceptual and analytical model that analyzes the production problem from a supply chain perspective. Human resource management practices and environmental aspects were incorporated into the model to reduce risk, optimally select the suppliers and properly maximize profit by accounting for human inspection error as well carbon emission taxes. Algorithms describing the determination of the optimal policy are provided.

This study provides practical results that can be useful to researchers and managers aiming at designing sustainable supply chains that incorporate economic, environmental and human factors.

This study can be useful to researchers and managers aiming for designing sustainable supply chains that incorporate economic and human factors.

While the COVID-19 pandemic has impacted the construction industry, it is still unclear from prior studies about adequately positioning the quality assurance (QA) for the post-pandemic era and future pandemics, especially cross-border construction logistics and supply chain (Cb-CLSC). Thus, this study aims to develop a managerial framework to position the QA of Cb-CLSC during pandemics and post-pandemics by taking lessons from how COVID-19 has impacted the existing QA systems and has been managed successfully.

This is achieved pragmatically through an embedded mixed-method design involving a literature review, survey and interview from experts within the Hong Kong SAR–Mainland China links, typically known as the world’s factory. The design is further integrated with the partial least squares structural equation modelling (PLS-SEM) approach.

The study revealed 10 critical managerial practices (MPs) to position the QA to be adequate for the post-pandemic and during future pandemics, with the top three including “strict observance of government regulations (MP1)”, “planning ahead the period of quality assurance with the quarantine days in host countries (MP6)” and “modification of contract to cater for uncertainties (MP4)”. This attained a relatively good percentage agreement of 53% between the industry and academia. However, the top four MPs regarded as very effective include “implementing digital collaborative inspections with subcontractors and trades (MP8)”, “implementing a digital centralized document and issue management system (MP7)”, “strict observance to government regulations, including vaccination of workers, social distancing, use of prescribed nose masks, etc. (MP1)” and “planning ahead the period of quality assurance with the quarantine days in host countries (MP6)”. Two underlying components of the MPs were revealed as policy-process (PP)-related practices and people-technology-process (PTP)-related practices, and these can be modelled into a managerial framework capable of effectively positioning the QA to be adequate during pandemics through to the post-pandemic era.

The findings of this study depicted significant theoretical and practical contributions to the proactive management of QA activities during pandemics through to the post-pandemic era. It could empower organisations to pay attention to smartly and innovatively balancing people, processes, pandemic policy and technology to inform decisions to effectively position the QA for the post-pandemic era and survive the risks of future pandemics.

The study contributes to the body of knowledge in that it develops a managerial framework to position the QA of Cb-CLSC during pandemics and post-pandemics by taking lessons from how COVID-19 has impacted the existing QA systems and has been managed successfully. It is original research with invaluable primary data in the form of surveys and interviews from experts within the Hong Kong SAR–Mainland China links, typically known as the world’s factory.

This paper aims to study, experimentally validate and select the main physical and numerical parameters of influence in computational numerical simulations to evaluate mean heat flux by natural convection on square flat plates.

Several numerical models were built to study the influence of physical and numerical parameters about the predictions of the natural convection heat transfer rates on the surface of a flat plate with aspect ratio = 1, in isothermal conditions, turbulent regime and using the free and open-source software OpenFOAM®. The studied parameters were: boundary conditions (using or not using wall functions in properties ε, κ, ν_t and ω), degree of mesh refinement, refinement layers and turbulence models [κ – ε and κ – ω Shear Stress Transport (SST)]. From the comparison of the values of the mean Nusselt number, obtained from numerical simulations and literature experimental results, the authors evaluated the precision of the studied parameters, validating and selecting the most appropriate to the analyzed problem situation.

The validation and agreement of the numerical results could be proven with excellent precision from experimental references of the technical scientific literature. More refined meshes with refinement layers were not suitable for the studies developed. The κ – ε and κ – ω SST turbulence models, in meshes without refinement layers, proved to be equivalent. Whether or not to use wall functions in turbulent boundary conditions proved to be irrelevant as to the accuracy of results for the problem situation studied.

Use of the physical and numerical parameters is studied and validated for various applications in natural convection heat transfer of technology and industry areas.

Use of free and open-source software as a research tool in the Computational Fluid Dynamics (CFD) area, especially in conditions without large financial resources or state-of-the-art infrastructure.

To the best of the authors’ knowledge, this work is yet not available in existing literature.