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Article
Publication date: 2 May 2017

Akram Ramezanzadeh, Seyyed Mohammad Reza Adel, Gholamreza Zareian and Mohammad Ghazanfari

The purpose of this paper is to explore Iranian EFL teachers’ and learners’ emotions in the realities of the classroom to investigate how their experience and navigation of…

355

Abstract

Purpose

The purpose of this paper is to explore Iranian EFL teachers’ and learners’ emotions in the realities of the classroom to investigate how their experience and navigation of emotions could provide the opportunity for socially just teaching.

Design/methodology/approach

A qualitative study was conducted to probe EFL teachers’ and learners’ emotional experiences. Data were gathered through interviews and observation. Using interpretive phenomenological analysis, the researchers analyzed the data through three stages of critical emotional praxis, including identification, reflection, and response.

Findings

Findings of the study revealed that emotions of caring, love, anger, and anxiety were the most dominant emotions among teachers and learners. Also, it was shown that the participants used emotion management, the cultivation of positive emotions, and bodily manipulation in order to change their course of actions and move toward two-way communication whereby they could see and hear each other.

Originality/value

The paper provided a new lens through which socially just teaching can be studies in EFL contexts. Also, the participants of the study consisted of both the teachers and the learners, because the researchers believed in a teacher’s identity as a pedagogy. In this respect, this study can also be considered as different from similar studies conducted on teachers’ emotional identities in the classroom.

Details

Qualitative Research Journal, vol. 17 no. 2
Type: Research Article
ISSN: 1443-9883

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Article
Publication date: 13 August 2024

Mohammad Ghazanfari Shabankareh, Ali Shesh Bulookii and Mojtaba Kord

This study aims to examine the methods of converting the threats caused by sanctions on Iran’s petrochemical industry to economic opportunities and investigating the growth rate…

11

Abstract

Purpose

This study aims to examine the methods of converting the threats caused by sanctions on Iran’s petrochemical industry to economic opportunities and investigating the growth rate of Iran’s petrochemical industry during sanctions.

Design/methodology/approach

The present research was descriptive-exploratory and the research method was based on a mixed research strategy. In the qualitative part, two methods of content analysis and semistructured interview were used and in the quantitative part, the survey method was used. The participants of the qualitative part were the content of all related published researches that have been published in the past 20 years and to conduct a semistructured interview with experts that were selected by nonprobability sampling method. In the quantitative part, the statistical population, there were including managers, supervisors and experts active in the Iran’s petrochemical industry (especially in Asaluyeh area of Iran), the sampling method was nonprobability of the type available.

Findings

The findings of the research showed that the potential risks resulting from the sanctions on Iran’s petrochemical industry from the review of the selected researches include 5 main risks (marketing, financial, supply and procurement, technological and production) and 26 related subrisks. Also, the ranking of the mentioned risks showed that among the main risks, the highest rank is related to the financial risk and among the subrisks, the increase in transaction costs and disruption in the implementation of contractual obligations have the highest rank.

Research limitations/implications

The investigation of the growth rate of Iran’s petrochemical industry during the sanctions in terms of performance (production, export and foreign exchange) showed that the amount of production has gone through a growing trend during the period under review (it has grown by more than 68%). Also, the amount of exports in the investigated time period has been growing (it has grown by more than 70%) and finally, the amount of foreign exchange in this time period has experienced growth (more than 58% growth).

Originality/value

Introducing and examining methods of turning threats into economic opportunities in Iran’s petrochemical industry under the shadow of sanctions, which can be used in other active industries under sanctions in the energy field.

Details

International Journal of Energy Sector Management, vol. 18 no. 6
Type: Research Article
ISSN: 1750-6220

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Article
Publication date: 19 January 2023

Mohammad Javad Najafzadeh, Sadra Ghazanfari Pour and Parisa Divsalar

The risk of aggression is higher among people with psychiatric disorders. This study aims to determine the association of aggression with schizophrenia, bipolar disorder (BD) and…

111

Abstract

Purpose

The risk of aggression is higher among people with psychiatric disorders. This study aims to determine the association of aggression with schizophrenia, bipolar disorder (BD) and major depressive disorder (MDD) in patients referred to Shahid Beheshti Teaching Hospital in Kerman.

Design/methodology/approach

This was a cross-sectional study of 518 patients diagnosed with schizophrenia, BD and MDD who met the inclusion criteria and were compared with a comparison group. All participants completed the Buss–Perry Aggression Questionnaire (BPAQ). Independent samples t-test and Pearson correlation coefficient were used to investigate the relationship between the score of BPAQ and other variables. The Beck Depression Inventory (BDI-13), Young Mania Rating Scale (YMRS) and Positive and Negative Symptom Scale (PANSS) were completed by MDD, BD and schizophrenia patients, respectively.

Findings

The mean score of total aggression and its components in the comparison group was significantly (P-value = 0.001) lower than that of the other groups. However, no significant difference was observed between the three schizophrenia, MDD and BD groups. The total aggression score of BPAQ had a significant positive correlation with BDI-13 and YMRS and a significant negative correlation with the PANSS score. Single patients with schizophrenia and people in the comparison group with lower education levels had a higher total aggression score.

Originality/value

Suffering from BD, MDD and schizophrenia, especially in single patients with a lower education level, is associated with physical and verbal aggression, anger and hostility, which emphasizes the need for periodic examination and screening of aggressive behaviors in these patients.

Details

Journal of Aggression, Conflict and Peace Research, vol. 15 no. 4
Type: Research Article
ISSN: 1759-6599

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Article
Publication date: 22 November 2024

Razieh Heidari, Mehdi Ghazanfari and Mohammad Reza Rasouli

The vehicle routing problem (VRP) is critical for the successful execution of logistics activities. However, there is strong evidence that efficiently solving the VRP is often…

14

Abstract

Purpose

The vehicle routing problem (VRP) is critical for the successful execution of logistics activities. However, there is strong evidence that efficiently solving the VRP is often complicated and requires more powerful – and possibly intelligent – support tools. In accordance with this necessity, the present study proposes a decision support system (DSS) applicable to the VRP, which includes both initial planning and replanning phases to support the real-time operations.

Design/methodology/approach

The proposed DSS lies at the basis of resilience thinking to provide a capacity to absorb and withstand the impact of disruptions, where resilience is connected with the factors of preparedness, flexibility and redundancy. These factors are approached in this study through a number of operational strategies in the reactive and proactive modes. The DSS includes a multi-layer perceptron neural network to predict changes that may arise in dynamic contexts, a modified k-means clustering algorithm to group customers with both static and dynamic attributes and two mixed-integer programming models to produce primary and alternate routing plans.

Findings

The research is motivated by the operational challenges faced by a collaborative networked clinical laboratory, which seeks to enhance efficiency and productivity in the daily management of medical sample collection and delivery through the implementation of increased automation. The findings reveal that centralized planning leads to heightened vulnerability in route planning and increased costs for replanning. Furthermore, the effectiveness of resilience-enhancement strategies varies based on the source and level of uncertainty.

Originality/value

The contributions of this paper are as follows: incorporating resilience thinking into the operational planning of logistics services, managing the decision-making of transport and collection companies through a DSS framework to ensure proper support to real-time operations, addressing the clustered VRP in a dynamic setting and adopting forecasting approaches to cover possible sources of dynamism.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 8 August 2018

Gholamreza Jalali Farahani, Reza Hosnavi, Mohamad Hasan Ataee, Ali Ghanbary Nasab and Mohammad Ali Ataee

The purpose of this paper is to determine and prioritize man-made threats that have the probability of occurring in civilian airports, as an important part of critical…

215

Abstract

Purpose

The purpose of this paper is to determine and prioritize man-made threats that have the probability of occurring in civilian airports, as an important part of critical infrastructures in each country.

Design/methodology/approach

The paper is practical-developmental in terms of research type and its approach is descriptive. Desktop research methods and interviews (qualitative) have been used in identifying deliberate man-made threats that are faced by the civilian airports. Moreover, a questionnaire (quantitative) has been utilized to assess the civilian airports’ assets that are targets likely to be threatened and assess threats by determining and prioritizing.

Findings

The results of the paper show that the main threat faced by civilian airports is “Air and missile strikes.” An additional 15 threats endangering civilian airports that have been extracted and presented through integrating specialized literature were prioritized in the main components of civilian airports. This prioritization has been performed on the basis of the following five indicators: “Damage Severity,” “Threat Precedent,” “Target Attractiveness,” “Negative Consequences for the Enemy” and “Enemy Ability.”

Originality/value

This paper is extracted from master’s thesis that identifies and assesses the threats to civil airport, and prioritizes them, and the results were confirmed by the experts.

Details

Property Management, vol. 37 no. 1
Type: Research Article
ISSN: 0263-7472

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Article
Publication date: 1 July 2020

Mohammad Rishehchi Fayyaz, Mohammad R. Rasouli and Babak Amiri

The purpose of this paper is to propose a data-driven model to predict credit risks of actors collaborating within a supply chain finance (SCF) network based on the analysis of…

1411

Abstract

Purpose

The purpose of this paper is to propose a data-driven model to predict credit risks of actors collaborating within a supply chain finance (SCF) network based on the analysis of their network attributes. This can support applying reverse factoring mechanisms in SCFs.

Design/methodology/approach

Based on network science, the network measures of the actors collaborating in the investigated SCF are derived through a social network analysis. Then several supervised machine learning algorithms are applied to predict the credit risks of the actors on the basis of their network level and organizational-level characteristics. For this purpose, a data set from an SCF within an automotive industry in Iran is used.

Findings

The findings of the research clearly demonstrate that considering the network attributes of the actors within the prediction models can significantly enhance the accuracy and precision of the models.

Research limitations/implications

The main limitation of this research is to investigate the applicability and effectiveness of the proposed model within a single case.

Practical implications

The proposed model can provide a well-established basis for financial intermediaries in SCFs to make more sophisticated decisions within financial facilitation mechanisms.

Originality/value

This study contributes to the existing literature of credit risk evaluation by considering credit risk as a systematic risk that can be influenced by network measures of collaborating actors. To do so, the paper proposes an approach that considers network characteristics of SCFs as critical attributes to predict credit risk.

Details

Industrial Management & Data Systems, vol. 121 no. 4
Type: Research Article
ISSN: 0263-5577

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Book part
Publication date: 21 May 2024

Muhammad Shujaat Mubarik and Sharfuddin Ahmed Khan

The supply chain is undergoing a significant digital transformation to adapt to the increasingly digitalized and globalized business environment. To remain competitive in this…

Abstract

The supply chain is undergoing a significant digital transformation to adapt to the increasingly digitalized and globalized business environment. To remain competitive in this evolving market, businesses must seamlessly integrate digital technologies throughout the supply chain, spanning all stages from procurement to distribution. This chapter delves into models and methodologies critical to digital supply chain (DSC) transformation, with a focus on advanced techniques such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, and data analytics to boost the resilience and agility of supply chain operations. By leveraging practical examples and case studies, the chapter highlights the myriad enhancements digital transformation can introduce across diverse supply chain stages, including sourcing and after-sales service. Additionally, the chapter examines the complexities of cybersecurity, data integrity, and change management within the digital transformation framework, proposing strategies to address these challenges. The insights offered in this chapter will serve as a thorough guide for both practitioners and scholars in the supply chain field, equipping them to adeptly navigate the multifaceted arena of digital transformation.

Details

The Theory, Methods and Application of Managing Digital Supply Chains
Type: Book
ISBN: 978-1-80455-968-0

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Article
Publication date: 17 December 2018

Satar Rezaei, Mohammad Hajizadeh, Ali Kazemi Karyani, Shahin Soltani, Heshmatollah Asadi, Mohammad Bazyar, Zahra Mohammadi, Neshat Kazemzadeh and Bijan Nouri

Appropriate access to formally-trained health workers for people living in rural and underdeveloped areas is a continuing challenge worldwide. The purpose of this paper is to…

530

Abstract

Purpose

Appropriate access to formally-trained health workers for people living in rural and underdeveloped areas is a continuing challenge worldwide. The purpose of this paper is to investigate the willingness of formally-trained health workers to practice in underdeveloped areas and its main determinants among medical students in the western provinces of Iran.

Design/methodology/approach

A total of 753 medical students from four provinces in western Iran (Kermanshah, Ilam, Lorestan and Kurdistan) were surveyed cross-sectionally in 2017. A self-administrated questionnaire was used to collect data on sociodemographic characteristics, willingness to practice in underdeveloped areas, intrinsic (e.g. desire to help others and self-interest in medicine) and extrinsic (e.g. the high income of physicians and social prestige) motivations of the study population. Multivariable logistic regression was used to identify the main determinants of willingness to practice in underdeveloped areas among medical students after their graduation.

Findings

The results indicated that 58.3 percent of students were willing to practice in underdeveloped areas. While 59 percent of the study population had a strong extrinsic motivation to study medicine, the remaining 41 percent of the study population had a strong intrinsic motivation to study medicine. The logistic regression results indicated that low parental professional and educational status, an experience of living in rural areas and having strong intrinsic motivation were associated with greater willingness to practice in underdeveloped areas.

Originality/value

This is the first study to investigate the willingness to practice in underdeveloped areas and its main determinants among medical students in the west of Iran.

Details

International Journal of Health Governance, vol. 24 no. 1
Type: Research Article
ISSN: 2059-4631

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Article
Publication date: 23 April 2021

Farqad Sallal, Mohammad Ali Bagherpour Velashani and Mohammad Javad Saei

The purpose of this paper is to study comparatively motivations for committing fraud in financial statements in two emerging markets including Iran and Iraq.

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Abstract

Purpose

The purpose of this paper is to study comparatively motivations for committing fraud in financial statements in two emerging markets including Iran and Iraq.

Design/methodology/approach

The research is a descriptive survey and statistical population consists of independent auditors. The field survey and questionnaire were used for data collection.

Findings

Findings can raise auditors’ awareness of management fraud motivations. It can help regulators and authorities in both countries as well as other emerging markets for establishing suitable rules and regulation.

Originality/value

This paper’s contribution was in identifying and comparing management’s motivations to commit financial reporting fraud in two emerging markets including Iraq and Iran.

Details

Journal of Financial Crime, vol. 28 no. 3
Type: Research Article
ISSN: 1359-0790

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Article
Publication date: 16 June 2023

Mohammad Ali Fallah, Mehrdad Agha Mohammad Ali Kermani, Alireza Moini and Javad Mashayekh

The present research is trying to construct the network of relationships between different department of an organization during the design and development of car engine. Analyzing…

264

Abstract

Purpose

The present research is trying to construct the network of relationships between different department of an organization during the design and development of car engine. Analyzing the structure of the network, finding the patterns of collaborations, and determining the important departments are the main purposes of the present research.

Design/methodology/approach

Improving relationships during a project life is an effective way to enhance employee performance in project-oriented organizations. This paper examines the collaborative relationships between internal project stakeholders through social network analysis (SNA) in a project for the design and development of car engine. In the first step of the research, the network of internal stakeholders was studied based on collaboration in the common activities performed by the resources. Then, the network of correspondences between internal stakeholders was studied. Finally, the two networks were integrated into a single network.

Findings

In the integrated network, the “fuel and combustion department” had the largest degree centrality (i.e. highest collaboration with others). The “integration department” was found to have the highest closeness centrality (i.e. more rapid access to other nodes). Furthermore, the “procurement department” had the highest betweenness centrality (i.e. the most strategic department). Our results revealed the potential capabilities of SNA method for the project management in the vehicle industry.

Originality/value

The obtained results of the present research show us the value of applying SNA methods and concepts to analyze the inter-organizational network of the Project Stakeholders relationship.

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