Company In Tehran Research Articles

The association between insomnia and musculoskeletal problems in employees of an automotive company in Tehran, Iran

ObjectivesThe purpose of this study was to examine the association between insomnia and the number of pain areas among employees of an automotive company. Secondary aim was to examine the association between depression, anxiety, and stress, and musculoskeletal pain independent of insomnia. Material and methodsWe performed a cross-sectional study conducted in an automobile manufacturing factory. To collect data, we used the Nordic Musculoskeletal Questionnaire, ISI (Insomnia Severity Index), and DASS-21 (Depression, Anxiety, and Stress Scale). The univariate and multiple association analyses were performed using ordinal logistic regression adjusted for gender, age, industrial/non-industrial, sport activity, pack year, educational level, years of employment, anxiety, stress, and depression. ResultIn individuals with insomnia, the lower back was the most common area where pain was reported (59.5%). In all areas, pain symptoms were significantly more prevalent in individuals with insomnia compared to those without insomnia. Insomnia was associated with having pain with an increased odds of number of pain sites (odds ratio [OR] 2.81,95%CI 2.34–3.39). In ordinal logistic regression, there was an association between insomnia and pain, independent of the effects of depression, anxiety, and stress (OR 2.21,95%CI 1.52–3.23). DiscussionInsomnia was associated with pain in all regions of the body and a higher prevalence of pain in multiple areas. The insomnia-pain association was independent of depression, anxiety, and stress.

Evaluation of the Impact of an Ergonomics-Based Educational Program on Preventing Neck Pain Among Employees of a Telecommunications Services Company in Tehran

Evaluation of the Impact of an Ergonomics-Based Educational Program on Preventing Neck Pain Among Employees of a Telecommunications Services Company in Tehran

Psychometric evaluation and factor analysis of the Iranian version of the Fear of Guilt Scale (FOGS) for obsessive-compulsive disorder (OCD)

Introduction: Fear of guilt is a characteristic of obsessive-compulsive disorder, which confirms the centrality of guilt in obsessive-compulsive symptoms. Aim: This study aims to investigate the psychometric properties and factor structure of the Iranian adaptation of the Fear of Guilt Scale. Method: This study was applied and developmental in terms of aim and psychometric type,respectively. The population included all the people of the three company in Tehran, Iran, in the year 2022 from which 520 adults, were selected by availabile sampling. The Vancouver Obsessional Compulsive Inventory (2004) and the Fear of Guilt Scale (2016) were used to collect the data. Besides, mean, standard deviation (SD), exploratory and confirmatory factor analysis, convergent validity and construct validity, SPSS version 26 and AMOS version 24 were run to analyze the data. Results: Confirmatory factor analysis revealed the existence of two factors: "punishment" and "prevention of harm." The scale demonstrated favorable convergent validity. Concerning scale reliability, the Cronbach's alpha coefficient was calculated at 0.90 for the entire scale, 0.88 for the "punishment" subscale, and 0.75 for the "prevention of harm" subscale which revealed the convergent and construct validity of this questionnaire. Conclusion: This study confirms the psychometric properties of the Fear of Guilt Scale in terms of evaluating the features of fear of guilt in obsessive-compulsive disorder .Future researches can use this tool for the purposes of evaluating and investigating the fear of guilt in patients with obsessive compulsive disorder.

A two-phase model for resilient hub and mobile distribution centers location

Hub location is crucial for resilient and uninterrupted supply chain operations, particularly during disruptions or unforeseen events. In this paper, we propose a resilience hub location framework for Third Party Logistics (3PL) companies with two key objectives: optimizing demand flows and establishing a resilient network capable of with-standing sudden disruptions. The study aims to identify the key criteria that contribute to the successful implementation of the resilient center. The proposed structure utilizes a two-phase decision-making methodology. The first phase presents a new Multi-Criteria Decision-Making (MCDM) approach called SWARA-EDAS method that evaluates and ranks potential locations based on resiliency criteria. The second phase proposes an optimization model to determine the optimal hub location. To illustrate the approach, a real-world case study of a 3PL company in Tehran is included. Due to the absence of precise demand data in the case study, a novel clustering approach is proposed to estimate the demand flow. Each individual cluster can be considered as a distinct demand point, and a clustering analysis involving 122 regions within Tehran is conducted, taking into account various factors such as population, economic index, accessibility to the Internet, and number of business units. To enhance the resiliency of the network, mobile distribution centers are also deployed. These mobile centers not only provide flexibility but also serve as backup capabilities in the event of a disruption or failure at the fixed hub. The proposed structure offers practical in-sights for 3PL companies seeking to implement a resilient network structure.

Presenting a Model for the Application of Artificial Intelligence in Private Organizations with the Influence of Human Resource Management: Antecedents and Consequences

The present study aimed to propose a model for the application of artificial intelligence (AI) in private organizations influenced by human resource management, considering its antecedents and consequences. The research method was applied in terms of purpose and exploratory mixed-method (qualitative-quantitative) in terms of data collection. The statistical population of the study consisted of three sections: scientific documents, the qualitative section (experts), and the quantitative section (human resource managers of private organizations and companies in Tehran). The sample size in the qualitative section included 19 experts, who were selected using the principle of saturation and purposive non-random sampling. Additionally, in the quantitative section, 252 managers were selected through convenience sampling. In the qualitative phase, semi-structured interviews were used to collect data, and in the quantitative phase, a researcher-made questionnaire derived from the qualitative section was employed. In the qualitative section, validity was calculated through expert opinions, and reliability was assessed using inter-rater agreement and agreement between two coders, with the results indicating the validity and reliability of the qualitative data. Moreover, in order to determine the validity of the questionnaire, content and construct validity were utilized, and to assess reliability, Cronbach's alpha coefficient and composite reliability were employed, with the results indicating the validity and reliability of the tool. Data analysis in the qualitative section was conducted using thematic analysis with Maxqda 2022 software, and in the quantitative section, based on the research questions, descriptive and inferential statistical methods (one-sample t-test and confirmatory factor analysis) were applied using SPSS v23 and Smart PLS v8 software. The research findings indicated that the antecedents of AI application in human resource management include organizational strategy and vision, organizational culture, and resources and infrastructure. The consequences of AI application include improvement in the recruitment process, development of training, reduction of errors, increased accuracy, and the creation of competitive advantage. Furthermore, based on the identified antecedents and consequences, the research model was designed and demonstrated appropriate validity.

The Effect of Knowledge-Based Leadership on Company Performance According to the Mediating Role of Customer Knowledge Management and Innovation Quality

In this research, the effect of knowledge-based leadership on the company's performance was investigated with regard to the mediating role of customer knowledge management and the quality of innovation. This research is applied in terms of purpose and descriptive survey. The statistical population of this research was made up of all manufacturing and service companies in Tehran, and based on Cochran's formula, 385 people were selected as a sample. A standard questionnaire was used to collect information in this research, and its validity and reliability were confirmed. In this research, partial least squares method and smartPLS software were used for data analysis. The results of this research showed that knowledge leadership has a positive and significant effect on company performance. Also, customer knowledge management and innovation quality mediates this relationship.

The impact of organizational commitment on knowledge management processes in project-based organizations with the mediating role of employee motivation

The purpose of this research is to investigate the effect of organizational commitment (with three dimensions of emotional commitment, continuous commitment, and normative commitment) on knowledge management processes (KMP) in project-based organizations, considering the mediating role of employee motivation. This research has an applied purpose and a descriptive and quantitative nature, which was conducted with a survey strategy. The statistical population is managers and experts of first-class construction companies in Tehran. Data collection was done through a standard questionnaire with 58 questions and hypotheses were tested with SmartPLS. The findings showed that emotional commitment and continuous commitment have a positive effect on employee motivation in project-oriented organizations, respectively, 0.56 and 0.2. Also, employee motivation has a positive effect of 0.51 on KMP in project-oriented organizations. Therefore, employee motivation plays a mediating role in influencing the dimensions of organizational commitment to KMP. But normative commitment does not have a positive effect on employee motivation in project-oriented organizations. On the other hand, employee motivation is influenced by their commitments to the organization and will have positive effects on intellectual capital management, KM and ultimately business performance. Among research backgrounds, the effect of organizational commitment dimensions on improving KMP with the mediating role of employee motivation in project-oriented organizations has not been investigated. It is expected that the results of this research can finally provide scientific and executive solutions to improve the performance of project-oriented organizations through the improvement of these components.

The effect of independent audit quality on the quality of financial reporting in the listed companies in Tehran and Baghdad stock exchanges

The effect of independent audit quality on the quality of financial reporting in the listed companies in Tehran and Baghdad stock exchanges

The Impact of E-Commerce on Business Strategy in Small and Medium Enterprises (SMEs) of Iran

Purpose: The growth, development and survival of economic enterprises depend on the formulation, implementation and correct evaluation of organizational strategic decisions. Therefore, using new methods, changing methods and continuously evaluating structural decisions is one of the main duties of senior managers of organizations. In this article, the impact of choosing e-commerce on business strategy has been studied. Methodology: The statistical data was collected using a questionnaire and the collected data was processed by SPSS software and used for analysis and conclusions. The purpose of this research is applied and the method of data collection is descriptive. The statistical population in this research is all the employees, managers and senior managers of small and medium-sized Iranian companies in Tehran, Iran. The statistical sample in this study includes 384 people who were selected based on the Morgan table and by a simple random method. Step wise regression model was used to analyze the statistical data in this research. Findings: The results obtained by analyzing the data obtained from the software have shown that the choice of e-commerce effectively affects the business strategy. Originality/Value: In this paper, we will examine the impact of e-commerce on business strategy in small and medium enterprises (SMEs) of Iran.

A Survey of Off-label and Unlicensed Antibiotic and Respiratory Medications Prescribed for Toddler Patients

Background: Many medications are unlicensed for use in toddlers and many drugs are prescribed as off-label in this age group. Different studies showed high prevalence of prescribing such medications in children. Prescribing off-labeled or unlicensed drugs can cause adverse drug events (ADEs) and harm to the patients. To evaluate the rate of off-label and unlicensed drugs prescribed for toddlers.
 Methods: Out-patient prescriptions within the electronic database from a main governmental health insurance company in Tehran, Iran were evaluated for off-label and unlicensed drugs in a two-month period (November-December 2019).
 Results: 5358 prescriptions for toddlers reached to the insurance database, of these, 461 prescriptions were randomly selected. Three hundred and fifty prescriptions contained antibiotics and/or respiratory medications, from them, 183 (52.3%) had at least one off-labeled or unlicensed medication.
 Conclusion: Our study showed high rates of off-label and/or unlicensed medication use in pediatric population.

Исследование влияния применения инноваций и информационных и коммуникационных технологий на производительность ИТ-компаний

The present study was conducted to understand the impacts of innovation and information and communication technology application via artificial intelligence on the performance of information technology companies. The article was based on an applied objective. Neural classification and neural clustering techniques were utilized to examine the feasibility of classifying companies based on their performance level. Information Technology-Software companies in Tehran (767 active companies) comprised the statistical population. Using a simple random sampling method and the Cronbach's formula, the number of 263 directors or deputies of these companies (estimating the attrition level in questionnaires) constituted the statistical samples. The findings of this study suggested that; (1) in data-mining via neural classification method, the model fit in the model learning section was equal to 91.4%, and (2) in data-mining via neural clustering method, model fit was 62.6%. The findings concluded that the application of innovation and information and communication technology significantly affect the performance of information technology companies.

An integrated lean production-sustainability framework for evaluation and improvement of the performance of pharmaceutical factory

Given their direct impact on public health, evaluating and improving the performance of pharmaceutical companies are one of the main challenges for the managers of this industry. Focusing on environmental, social, and economic considerations, sustainability can play an effective role along with Lean production in improving the performance of organizations. The present study introduces an innovative lean-production-sustainability framework for performance evaluation of a pharmaceutical factory. Then, the significance of each sub-indicator is calculated based on the best-worst method (BWM). The required data were collected using a standard questionnaire, and the data envelopment analysis (DEA) was employed to assess the performance of the production line of the case-study company in Tehran. Using sensitivity analysis to understand the positive and/or negative impact of each sub-indicator on the production line performance leads to the generation of appropriate improvement measures. The results of sensitivity analysis demonstrated that the sub-indicators of Investment and reduction of operation and maintenance costs, training, development, working conditions, customer orientation, and standard product are the weaknesses of the studied company, and the sub-indicators of waste reduction and pull system are its strengths. Then, with the assistance of the expert committee and based on existing threats and opportunities in the pharmaceutical industry, the results of the conducted Strength-Weakness-Opportunity-Threat (SWOT) analysis provided appropriate strategies for improving the performance of the production unit. To the best of our knowledge, this research is the first to quantitatively and qualitatively use these indicators in order to evaluate a pharmaceutical company. The proposed framework enables the decision-makers to consistently evaluate their company's performance based on the two indicators of sustainability and lean production and implement improvement measures according to the present situation of the company.

Using the ICP-MS method, the concentration of uranium in soil samples from the Northern Basrah governorate was determined

In the laboratories of the Zarazma Mineral Studies Company in Tehran, the Islamic Republic of Iran, measurements of Uranium content in soil samples were made utilizing ICP-MS (inductively coupled plasma mass spectrometry) in 36 samples of surface soil from selected locations (Some of which, according to the authors, were measured for the first time) in the Northern Basrah governorate. Uranium concentrations were found to range from ( 0.9 ppm ) in Al-Awjan to ( 1.5 ppm ) in Al-Ez River soils. The findings are given and contrasted with those of other research. The soil samples analyzed were uranium less than 100 ppm, which implies an amount of overburden and reserves instead of mineable reserves. The concentration of uranium in the Northern Basrah Governorates is presented and evaluated in this article. The study also indicates that uranium levels in 36 samples of surface soil are below the detection limit. The current findings demonstrate that the uranium contents in the surface soil samples examined were lower than the UNSCEAR-recommended limit of 11.7 ppm.

Opinions and Experiences of National Iranian Oil Company Retirees on Psychological Wellbeing: A Grounded Theory Approach

Objective: Mental health refers to emotional balance and social adjustment, feeling comfortable, the absence of mental illness, the integration of personality, and the knowledge of self and the environment. This study aimed to investigate the opinions and experiences of Iranian Oil Company retirees about psychological wellbeing. Methods: This qualitative study was conducted using the grounded theory approach. The participants in this study were 15 retired senior managers of the National Iranian Oil Company in Tehran who were selected through purposive sampling based on the theoretical saturation criterion in 2021. The data were collected through semi-structured interviews and were analyzed using Corbin and Strauss method (1998). Results: Data analysis revealed three selective codes, 11 axial codes, and 67 open codes. The selective codes include self-coherence and the balance between life needs and satisfaction with the current situation, contextual factors promoting psychological health in older adults, and the process of achieving psychological health and wellbeing in older adults. Conclusion: The insights from present research can be used for developing and implementing therapeutic and educational models for elders and recognizing retirement concerns. In addition, understanding the opinions and experiences of the psychological wellbeing of elders helps the healthcare system and social welfare professionals to realize the retirees’ psychological needs.

Comparison of the effectiveness of gestalt coaching training and acceptance and commitment-based therapy on controlling

Aim and Background: Comparing different therapeutic approaches in psychology can help therapists identify their time, cost, and effectiveness; Therefore, the present study was conducted to compare the effectiveness of Gestalt coaching training and treatment based on acceptance and commitment on controlling of Tehran Telecommunication Company employees. Methods and Materials: The research method was quasi-experimental with pre-test, post-test and follow-up with control group. The statistical population included all employees of Perso Electronic Telecommunication Company in Tehran in 1398, from which according to Cohen's table, 45 people were selected by relative random sampling and randomly divided into two experimental groups and a control group. The research instruments included Taghizadeh Tendency to Control Others Questionnaire (1396). The experimental groups underwent Gestalt coaching training and acceptance and commitment treatment. Data were analyzed by repeated measures and ANOVA test. Findings: There was a significant difference between the effectiveness of Gestalt coaching training with acceptance and commitment-based treatment on reducing control (P ≤ 0.001). The effectiveness of gestalt training in both post-test and follow-up was more effective than acceptance and commitment therapy (P ≤ 0.001). Conclusions: Based on the findings, it can be concluded that Gestalt coaching training and treatment based on acceptance and commitment can be a good way to reduce staff control.

A Maturity Model for Digital Transformation in Transportation Activities

Today, one of the important frameworks in understanding and recognizing digital transformation in all activities is the digital transformation maturity model. Understanding the dimensions and stages of maturity is important for transportation decision makers because in this way they can make appropriate management decisions by understanding the position of their organization in the maturity of digital transformation. The main purpose of this study is to present the maturity model of digital transformation capability, determine its stages, and investigate the use of Intelligent Transportation Systems and the maturity of transportation-related activities. In this paper, meta-synthesis is used to study the different models and stages of digital transformation maturity in various scientific databases on the Internet and provide a comprehensive summary of the dimensions and stages of maturity. After evaluation, 30 transportation companies in Tehran and their main activities were selected. By analysing the dimensions and stages of maturity in previous papers, the maturity model presented in this paper includes five stages and 10 dimensions in transportation area. These dimensions include digital management, information technology, manpower, operations and processes, culture, organizational structure, innovation and change, new strategies, intelligent products and services and customer orientation. Therefore, the maturity of 14 transportation activities was measured. The results showed that most transportation activities are at level three of the maturity model. Also, dimensions that scored the most are, respectively, digital process and operations of transportation, digital innovation in transportation, structure and governance, and digital management in transportation.

Human Interactions Affecting the Psychological Preparation of Airline Pilots

Aim: The purpose of the present study was to explain the human interactions affecting the psychological preparation of airline pilots. Methods: Qualitative approach and thematic analytical method was used to conduct this study. The study population in this research were the pilots of an airline company in Tehran in 2019. In order to gather the necessary data, pilots were selected through purposive sampling criteria. Then, semi-structured interviews were conducted with each pilot and this process continued until theoretical saturation was reached. In this study, a total of 10 pilots were interviewed and the obtained data were classified and coded. Results: The analysis of the findings led to the identification of the influences of human interactions on the psychological preparation of pilots in the form of interactions between the flight crew, interactions between teams related to flight, and interactions outside the work environment. Interactions between the flight crew were extracted as interactions between pilots and other flight personnel and topics such as respect for the job position. Interactions between flight-related teams were inter-sectoral interactions and were identified in the form of relationships between pilots with air traffic controllers and other non-flight sectors. Finally, most of the interactions outside the work environment were related to the pilots' family issues. Conclusions: This study showed that there may be many undesirable interactions in different occupational and family areas of pilots that may lead to their psychological unpreparedness. This demonstrates the need to improve the quality of in-service training for pilots in relation to issues such as flight interactions and interactions between pilots and their families.

Analyses and anticipating the future trend of accidents in an electricity distribution company of Iran: A time series analysis.

Many work-related fatalities happen every year in electricity distribution companies. This study was conducted to model accidents using the time series analysis and survey descriptive factors of injuries in an electricity distribution company in Tehran, Iran. Data related to 2010 to 2017 were collected from the database of the safety department. Time series and trend analysis were used for data analyzing and anticipating the accidents up to 2022. Most of the accidents occurred in summer. Workers' negligence was the reason for 75% of deaths. Employment type and type of injuries had a significant relationship (p < 0.05). The anticipating model indicated occupational injuries are going to have an increase in the future. A high rate of accidents in summer maybe because of the warm weather or insufficient skills in temporary workers. Temporary workers have no chance to work in a year like permanent workers, therefore acquisition experiences may be less in them. Based on the estimating model, management should pay attention to those sectors of the company where most of the risky activities take place. Also, training programs and using personal protective equipment can help to protect workers in hazardous conditions.

A Model for Commercialization Strategies Success in Marketing in Iran: A Case Study of Industrial Companies in Tehran

Commercialization strategy is one of the most crucial decisions a firm makes in terms of its ability to profit from technologies developed within the firm. This study was carried out to propose a model for commercialization strategies success in marketing in Iran. This study was a descriptive survey and the survey instrument was a researcher-made questionnaire. Statistical society was all of managers in industrial companies of Tehran. Statistical society was all of managers in industrial companies of Tehran. Sample size (245 persons) determination is based on the Krejcie & Morgan table and cluster random sampling method was used. After data collection, data analysis was performed using Statistical Package for the Social Sciences (SPSS). Reliability of research tool was calculated by Cronbach's alpha and the value of that was 0.81. Results and finding of this research showed that government policy, Legal restrictions and Organizational difficulties affect commercialization strategies success in marketing in Iran.

BELF Courses and Iranian Learners’ Perception Regarding Success in Business Communication

The present qualitative study aimed to investigate the role of Business English as Lingua Franca (BELF) courses in learners’ success in communication in an Iranian company. In doing so, 25 adult BELF learners were selected from an automotive parts manufacturing company in Tehran, Iran. They were the employees of a company consisting of men and women in the 30 to 45 age group who worked in different departments as bosses, middle managers, top managers, and directors. Their English proficiency levels were elementary, pre-intermediate, and intermediate. The participants took part in the interviews and answered a 20-item questionnaire. The questionnaire mainly focused on using English in the workplace. The interviews primarily focused on eliciting the respondents’ views regarding the benefits of using English at the workplace. The interviews and respondents’ answers to the questionnaire showed that BELF courses lead to job performance efficiency, higher self-confidence when communicating, willingness to use more English at the workplace, and fewer misunderstandings. It also could enhance participants’ language proficiency level and communication skills. Moreover, participation in BELF courses could facilitate English in the workplace and encourage a professional atmosphere compared to the past.