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The purpose of this paper is to evaluate the nature of emotion, self-esteem and life satisfaction tendencies amongst Iranian Muslim consumers when making impulse purchases.

Questionnaires were distributed amongst female Muslim participants at a shopping centre in Yazd, Iran – each of which were selected using cluster and random sampling methods. Data were analysed using descriptive statistics and structural equation modelling techniques, where LISREL software was used to measure the direct and indirect relationships between variables.

Within the sample, there was a direct causal relationship between impulse buying tendencies, impulse buying behaviour and purchasing. Second, there was a negative relationship between self-esteem and life-satisfaction within impulse buying tendencies. Finally, a positive relationship exists between emotion and impulse buying tendencies, which elicits impulse buying behaviour culminating in purchases. Emotion drives these consumers towards dissonance-reducing behaviour, which mediates low self-esteem and life satisfaction – through consumerism as a form of retail therapy. Some of the items purchased on impulse, that fulfilled this role, were hijabs (headscarves) and mantos (a type of tunic/shirt-dress/coat common in Iran).

The hijab is worn by Muslim females across the globe. However, the manto is an item of clothing worn almost exclusively by Iranian females. Therefore, it is likely that Muslim females in different geographies may exhibit similar behavioural traits, but their consumption patterns would substitute this item with a different one, such as an abaya or jilbab, for example.

Whilst the notion of retail therapy is widely understood, the novel contribution of this study lies in highlighting that the purchase of clothing such as hijabs and mantos by Iranian Muslim females is not just driven by rational and emotional decision-making seeking to fulfil religious obligations. There are cases where these religious artefacts are used to raise feelings of self-esteem and life satisfaction within the same individuals.

This study aims at introducing a claim management model based on building information modeling (BIM) for claims that can be visualized in BIM models.

Based on the results of a questionnaire survey, 10 claims were identified as claims that can be visualized in BIM models (named hard claims in this study). Then, a BIM-based claim management model was developed and used in a case study.

A BIM-based claim management model is represented. The claim management process through this model consists of four steps: (1) extracting project information, identifying conditions prone to claim and storing them into a relational database, (2) automatically connecting the database to building information model, (3) simulation of the claims in building information model and (4) final calculations and report.

The proposed model can provide benefits to parties involved in a claim, such as early identification of potential claims, large space for data storage, facilitated claim management processes, information consistency and improved collaboration.

There are a few studies on providing solutions to claim management based on BIM process. Hence, the original contribution of this paper is the attempt to set a link between BIM and claim management processes.

Recently, evidences have suggested that healthy eating index (HEI), an index-based dietary pattern, may be a predictor for the risk of cancer. This paper aims to examine the association of HEI-2015 and its all components scores with the risk of breast cancer (BC), separately, among Iranian women.

In the present hospital-based, case-control study, 150 age-matched of cases (newly diagnosed female) and 150 controls were recruited. Data of dietary habits and anthropometric measures were obtained, and eventually, the HEI-2015 score was calculated. Multivariate odds ratios (ORs) with 95% confidence intervals (CIs) were used to evaluate the relationship between the risk of BC across tertiles (Ts) of total HEI-2015 and its all component scores.

The results presented that in adjusted model, there was no significant difference between total HEI-2015 (p = 0.14) and its all component scores (p > 0.09) of healthy subjects and females with BC. Moreover, multivariable logistic regression analyses indicated that HEI-2015 score was not associated with the risk of BC in either crude (p-trend = 0.94) or adjusted (p-trend = 0.73) analyses. In the analyses of HEI-2015 components scores, it was observed that the scores of grains (OR, 0.53; 95% CI, 0.30–0.94) and total protein foods (OR, 0.13; 95% CI, 0.02–0.58) may have a relation with BC risk in crude model but after adjusting for BC risk factors, the mentioned associations changed to non-significant.

The findings of current study suggested that there was no significant association of total HEI-2015 and its components scores, independently, with BC incidence among Iranian women.

This study aims to synthesize new disperse dyes based on novel pyrazolyl quinolinone derivatives EQ1 and EQ2 and evaluate their characteristics after dyeing them on a polyester fabric.

New dispersed dyes based on pyrazolyl quinolinone derivatives were prepared and confirmed by different analyses, such as infrared spectroscopy, elemental microanalysis and nuclear magnetic resonance spectroscopy. They were dyed on a polyester fabric. The characteristics of dyed polyester were determined by color measurements such as a*, b*, L*, C*, E, Ho, R% and color strength. The electronic structures of EQ1 and EQ2 in gaseous state were investigated using density functional theory/B3LYP/6-311++G (d, p) level of theory.

The suitability of the prepared dyestuffs for dyeing on polyester fabrics has been investigated. The study was concerned with comparing the contrasting depth of shade and levelness. The study was concerned mainly with dye uptake and color measurements at two different temperatures. The results showed that the exhaustion values of dyes inside the polyester at 130°C were higher than those obtained at conventional dyeing temperature (100°C). The exhaustion values of EQ2 were greater than those of EQ1 at 130°C with 2.2%, while the brightness of EQ2 was higher than that of EQ1 at the two investigated temperatures. The results of molecular orbital calculations show that the studied compounds are planar. In addition, the ionization potential of EQ1 was lower than that of EQ2. The results of the theoretical study helped in understanding the dyeing behavior of the investigated azo dyes.

The prepared disperse dyes based on pyrazolyl quinolinone derivatives could be used in textile dyeing of polyester on an industrial scale.

This study evaluated the influence of the coronavirus pandemic on the healthcare and non-cold pharmaceutical care distribution supply chain.

The model involves four objective functions to minimize the total costs, environmental impacts, lead time and the probability of a healthcare provider being infected by a sick person was developed. An improved version of the augmented e-constraint method was applied to solve the proposed model for a case study of a distribution company to show the effectiveness of the proposed model. A sensitivity analysis was conducted to identify the sensitive parameters. Finally, two robust models were developed to overcome the innate uncertainty of sensitive parameters.

The result demonstrated a significant reduction in total costs, environmental impacts, lead time and probability of a healthcare worker being infected from a sick person by 40%, 30%, 75% and 54%, respectively, under the coronavirus pandemic compared to the normal condition. It should be noted that decreasing lead time and disease infection rate could reduce mortality and promote the model's effectiveness.

Implementing this model could assist the healthcare and pharmaceutical distributors to make more informed decisions to minimize the cost, lead time, environmental impacts and enhance their supply chain resiliency.

This study introduced an objective function to consider the coronavirus infection rates among the healthcare workers impacted by the pharmaceutical/healthcare products supply chain. This study considered both economic and environmental consequences caused by the coronavirus pandemic condition, which occurred on a significantly larger scale than past pandemic and epidemic crises.

The purpose of this paper is to study the factors influencing the resistance of the employees of Tehran University libraries to technological changes. Through achieving this aim, it attempts to provide a suitable understanding of these factors for the managers so that they would be able to reduce the resistance to change among the employees of university libraries.

This study is a descriptive survey in its data collection method. Based on the review of the literature, a questionnaire on resistance to technological changes was devised (Cronbach’s α coefficient being 93 percent). The questionnaire was distributed among 128 of the employees in the technology section of Tehran University libraries, and the achieved data were analyzed using an SPSS and PLS.

The findings achieved through a confirmatory factor analysis showed 11 elements of ambiguity, threat of the current situation, habit, lack of interest, the need for relearning, unsuitable understanding, inefficient rewarding system, emotional reactions, lack of interest understanding, inflexibility of the beliefs and feeling of being a veteran in the organization, which influence the resistance of the employees of the university libraries, among them the inefficient rewarding system ranks first and the unsuitable understanding ranks last.

In this research, an attempt is made to identify the resistance to technological changes shown by the employees of Tehran University libraries, which can be a guide for library managers to improve the changing process in their libraries. Influencing factors of resistance to change which had been identified by other research works were examined here regarding the circumstances of Tehran University Libraries.

The purpose of this study is to discover the components of virtual leadership in universities and higher education institutions during Covid-19 pandemic.

This research uses the qualitative research design, and semi-structured interviews with senior leaders were conducted with non-random purposeful and snowball sampling methods. Also, grounded theory was used for analyzing, coding and classifying the data.

After analyzing data, five main components influencing virtual leadership including leader's personality traits, followers' characteristics, technological, environmental and organizational components were identified.

As leadership, particularly virtual leadership, highly depends on context such as the level of technology in that certain region, the results cannot be generalized to other sectors or countries.

The research advances leadership development theory by highlighting the main components of virtual leadership in educational sector as a comprehensive perspective and complement the other aspects of virtual leadership such as consequences and challenges investigated by other studies.

This study aims to examine the relationship between polychronicity, job autonomy, perceived workload, work–family conflict and high work demand on the health-care employee turnover intention during the COVID-19 pandemic.

The authors conducted quantitative research in private hospitals using a self-administered questionnaire, and 264 respondents participated. The authors also used an analysis of moment structures to determine the relationship between independent and moderating variables.

The results show a significant positive relationship between polychronicity, job autonomy, perceived workload, work–family conflict and high work demand, affecting turnover intention. This study also found the moderating effect of high work demand on work–family conflict and turnover intention.

This research was limited to hospitals in Bahrain during the COVID-19 pandemic. Nevertheless, the findings highlight the factors associated with health-care employee turnover intention and only five factors were identified.

This study enhances the theoretical and practical effects of turnover intention. The results provide a competitive benchmark for hospital managers, administrators and governing bodies of employee retention.

It advances economics and management theory by enhancing the understanding of health-care employees’ turnover intention in Bahrain. It serves as a basis for future large-scale studies to test or refine existing theories.

To the best of the authors’ knowledge, this study is the first to adopt extrinsic variables in self-determination theory to measure the turnover intention of health-care employees. However, using resources in a crisis can be applied to any disaster.