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The aim of this study is to optimize the electrospinning parameters used in the production process of polyvinyl chloride (PVC) nanofibers.

The response surface methodology (RSM) was used to determine the experimental design. The 30 nanofiber prototypes candidates were electrospun using a needle-based electrospinning machine. PVC polymer, N-dimethyl formamide and tetrahydrofuran solvents were used to prepare the electrospinning solution.

The electrospun nanofibers had a mean diameter of 386 ± 136.57 nm, in the range of 200−412 nm. The mean porosity was 31.60 ± 6.37% in the range of 15.33−41.53%. The webs made from electrospun nanofibers had a mean pressure loss of 194.23 ± 47.7 pa in the range of 124−300 pa. The highest statistically significant correlation was observed between solution concentration and nanofiber diameter (r = 0.756, p < 0.05).

The optimal electrospinning parameters were determined to be: a solution concentration of 11 weight percent, a voltage of 16.5 kV, a needle-collector distance of 13.5 cm and an electrospinning duration of 4 h.

The present study aimed at developing and validating a self-development training package and determining self-development's effectiveness on job variables and human capital agility among secondary school principals in Isfahan.

In the first phase, the researcher conceived a full version of the self-development training package by studying the theoretical evidence of research and interviewing experts as well as using content analysis. The questionnaire was presented to several experts (n = 8) in that field of study for evaluation after compiling the initial version of the self-development training package, with the aim of determining the face and content validity. In the second phase of the study, the effectiveness of the self-development training package was experimented on secondary school principals using a quasi-experimental pre-test–post-test design and follow-up with a control group.

The evaluation results were suitable for the training package based on the proposed Lawshe method. The results also indicated that the implementation of a self-development training package in the experimental group had a significant effect on job performance and its dimensions, as well as human capital agility. The effect of the training package on increasing job performance in the post-test stage was 55.3% and was 50.2% in the follow-up stage. Also, the effect of this package on increasing the agility of human capital in the post-test phase was equal to 34.8% and was equal to 28.9% in the follow-up stage.

Question 1: What are the components of a self-development training package? Question 2: What is the credibility of the developed training package from the experts' point of view? Question 3: Does the self-development training package have an effect on job performance and its dimensions? Question 4: Does the self-development training package have an effect on human capital agility?.

This paper aims to study the application of high-tolerance and flexible indigenous bacteria and fungi, along with the co-metabolism in recycled paper and cardboard mill (RPCM) wastewater treatment (WWT).

The molecular characterization of isolated indigenous bacteria and fungi was performed by 16S rRNA and 18S rRNA gene sequencing, respectively. Glucose was used as a cometabolic substrate to enhance the bioremediation process.

The highest removal efficiency was achieved for both chemical oxygen demand (COD) and color [78% COD and 45% color removal by Pseudomonas aeruginosa RW-2 (MZ603673), as well as approximately 70% COD and 48% color removal by Geotrichum candidum RW-4 (ON024394)]. The corresponding percentages were higher in comparison with the efficiency obtained from the oxidation ditch unit in the full-scale RPCM WWT plant.

Indigenous P. aeruginosa RW-2 and G. candidum RW-4 demonstrated effective capability in RPCM WWT despite the highly toxic and low biodegradable nature, especially with the assistance of glucose.

Since the outbreak of the Covid-19 pandemic, many restaurants and catering businesses have introduced or improved online food ordering and delivery services (OFODSs). This study aims to identify service quality expectations about OFODSs, to examine their content and to suggest management strategies to meet these expectations.

Adopting a qualitative method, four focus groups were conducted amongst Italian users of OFODSs.

The results reveal three dimensions of expectations, each comprising two categories that can be set along a continuum: (1) basicness of expectations (ranging from implicit to explicit), (2) accuracy of expectations (ranging from fuzzy to precise) and (3) attainability of expectations (ranging from realistic to unrealistic). Content may refer to technical, social, economic, legal and technological aspects. To meet customer expectations, the following strategies are suggested: customer reassurance, flexibility, continuous improvement, customer education, adaptation to customers' requirements and monitoring of exceptions.

This study provides specific activities in which restaurants and catering businesses could invest to enact the management strategies that emerged from the analysis.

This paper proposes a new classification of expectations and framework for improving OFODS quality by managing customer expectations.

Hepatitis C is one of the major health issues in both developed and developing countries. Hepatitis C virus (HCV) infection is more common in prisoners than in the general population. The purpose of this study was to determine the prevalence of HCV and its associated risk factors in Iranian male prisoners in Tehran.

In this cross-sectional study, the authors investigated the frequency and risk factors of hepatitis C infection among male prisoners in the Great Tehran Prison. Information on risk factors including the length of imprisonment, previous history of imprisonment, history of drug injection, history of tattooing, history of piercing, history of high-risk sex and family history of hepatitis C were extracted from patients’ records. To evaluate HCV status, blood samples were collected and tested.

In this study, 179 participants were included. Nine participants (5.0%, 95% CI, 2.3-9.3) were positive for hepatitis C. HCV infection was not significantly associated with age, marital status, education, previous history of imprisonment, length of imprisonment, piercing and high-risk sex; however, there was a significant association between a history of tattooing and a history of injecting drug use and Hepatitis C.

The prevalence of hepatitis C among male prisoners in Great Tehran Prison was 5% in this study, similar to recent studies on prisoners in Tehran. A history of drug injections as well as tattooing were the most important risk factors for hepatitis C in male prisoners.

This paper aims to conceptually extend the religious aspect of consumption beyond the intrinsic motivation, i.e. religiosity, to a broader consideration of its social and cultural surroundings by highlighting the concept of “religiocentrism”.

The paper is conceptual and qualitative. It explores the concept of religiocentrism in several disciplines, including theology, politics, sociology, marketing and consumption.

The paper introduces the concept of religiocentrism in understanding religious consumption and marketing among consumers within a religious context. This paper further discusses the origin of the term religiocentrism; religiocentrism as looking beyond the intrinsic motivation, i.e. religiosity, religiocentrism from the social identity theory; past research on religiocentrism in theology, politics, sociology, education, marketing and consumption, as well as suggesting potential future research in religiocentrism within marketing and consumption studies.

The lack of research relating to religiocentrism in marketing makes the depth of the discussion rather limited. This paper, however, does not discuss the term religiocentrism from the theology roots but focuses more on the marketing and consumption aspects of religiocentrism.

Several research papers exist within the different disciplines about religiocentrism. However, to the best of the authors’ knowledge, it can be argued that this paper is one of its kind to highlight the concept of “religiocentrism” in consumption and marketing that considers the social and cultural surroundings.

Distribution network design involves a set of strategic decisions in supply chains because of their long-term impacts on the total logistics cost and environment. To incorporate a trade-off between financial and environmental aspects of these decisions, this paper aims to determine an optimal location, among candidate locations, of a new logistics center, its capacity, as well as optimal network flows for an existing distribution network, while concurrently minimizing the total logistics cost and gas emission. In addition, uncertainty in transportation and warehousing costs are considered.

The problem is formulated as a fuzzy multiobjective mathematical model. The effectiveness of this model is demonstrated using an industrial case study. The problem instance is a four-echelon distribution network with 22 products and a planning horizon of 20 periods. The model is solved by using the min–max and augmented ε-constraint methods with CPLEX as the solver. In addition to illustrating model’s applicability, the effect of choosing a new warehouse in the model is investigated through a scenario analysis.

For the applicability of the model, the results indicate that the augmented ε-constraint approach provides a set of Pareto solutions, which represents the ideal trade-off between the total logistics cost and gas emission. Through a case study problem instance, the augmented ε-constraint approach is recommended for similar network design problems. From a scenario analysis, when the operational cost of the new warehouse is within a specific fraction of the warehousing cost of third-party warehouses, the solution with the new warehouse outperforms that without the new warehouse with respective to financial and environmental objectives.

The proposed model is an effective decision support tool for management, who would like to assess the impact of network planning decisions on the performance of their supply chains with respect to both financial and environmental aspects under uncertainty.

This paper aims to investigate the effect of shear rate, concentration (4–20 kg/m³) and temperature (20°C–60 °C) on the apparent viscosity of apricot gum solutions.

Apparent viscosity has been measured using a rotational viscometer.

It has been observed that the shear stress and apparent viscosity values increase at high concentrations in the prepared apricot gum solutions. However, it is understood that the higher the temperature in the operation conditions, the lower the apparent viscosity results. Power-law is found the best-fitting model to illustrate the changes in temperature and concentration. According to the consistency coefficient and flow behavior indices, the apricot gum displayed shear-thinning behavior (pseudoplastic). The apricot gum is a polysaccharide with amino and uronic acids, according to Fouirer Transform Infrared Spektrofotometre spectra.

The results suggest that power-law model can be used to estimate the viscosity of apricot gum solutions at different temperatures and concentrations for applications for which flow behavior should be taken into account.

Exudate gums have good rheological properties and, therefore, are widely used in the food industry. Apricot gum is a biodegradable and abundant polysaccharide that enhances viscosity, stabilizes suspension or emulsion and improves the flow properties of foods. Different rheological models are used to investigate rheological properties. However, those models are time-independent to fit the experimental data.

This research intends to develop a model for predicting employees at a high-risk attrition and identify the most important factors affecting them.

In this study, using the triangulation technique of a mixed research method, the employee attrition problem is investigated by identifying its affecting factors. For that matter, data related to the human resources department of a pharmaceutical company in Iran are used. And to achieve the intended goal, advanced data mining algorithms and interviews with human resource managers are applied.

A model for predicting employees at a high-risk attrition is presented based on the gradient boosting machine algorithm with 89% accuracy. The use of the mixed research approach shows that qualitative and quantitative methods can be more effective in identifying the factors affecting employee churn or loss of staff. The results also contain a new situation arising out of the COVID-19 pandemic and remote working scenarios having impact on employee attrition. Finally, human resource policies are presented based on variables related to each of the identified factors.

The novel contributions of this study include real data related to a leading pharmaceutical company as well as a combination of two quantitative and qualitative methods. The hybrid approach can identify the reasons for attrition and, consequently, retention policies to benefit from the advantage of both approaches. Data mining can be useful to identify the factors, which are usually not mentioned in termination interviews, such as direct managers. On the other hand, the results obtained from termination interviews can also include features that the authors cannot identify through data mining, which are specifically related to the characteristics of the pharmaceutical industry such as building a more professional career path. From a practical perspective, since this company specializes in pharmaceutical marketing in a new way and is primarily comprised graduates, it is important to note that the churn of specialized people disperses organizational and technological know-how. On the other hand, the pharmacist community in Iran is small, and their attrition might adversely affect not only the reputation of an organization but the employer's brand as well. So, this research would help other similar firms in retaining their valuable human capital.

In the last decade, the concept of Islamic attributes of destination (IAD) has emerged due to Muslim tourists’ need to visit a destination that complies with Sharia law. Since then, the IAD concept has been popular to increase the destination’s attractiveness and travel satisfaction for Muslim tourists. This concept evolved from evaluating the Muslim tourists’ perception of IAD to non-Muslim tourists and from assessing the Islamic attributes in Muslim-majority destinations to non-Muslim majority destinations. Furthermore, the literature showed several measurement scales to assess tourists’ satisfaction with IAD, and scholars were varied in the methods of analysis used to assess tourists’ satisfaction with IAD. The purpose of this study is to perform a systematic mapping study on satisfaction with IAD by answering five research questions.

This study used the preferred reporting items for systematic reviews and meta-analyses framework to guide the search process and search for relevant studies between 2012 and 2022 from two scientific databases, Scopus and Web of Science.

The search revealed 387 studies. In total, 31 articles met the eligibility criteria. This study indicates the journal considered research studies on tourists’ satisfaction with IAD the most, the method of analysis used in the previous studies, the Islamic destination attributes considered in the previous studies, the research distribution by counties, the research trend and the future direction.

To the best of the authors’ knowledge, this is the first systematic mapping study that delivers a summary of empirical research studies on tourists’ satisfaction with IAD.