مطالب مرتبط با کلیدواژه

Q method


۱.

Investigating and Analyzing Factors Causing the Spreading out of Rural Poverty in Miyandoab County through the Application of Q Technique(مقاله علمی وزارت علوم)

کلیدواژه‌ها: Rural poverty Factors of poverty Q method Miyandoab County

حوزه‌های تخصصی:
تعداد بازدید : ۴۲۸ تعداد دانلود : ۳۵۸
Purpose - The purpose of this study was to investigate the factors causing the spreading out the poverty in rural areas of thcounty of Miyandoab. knowledge of the extent of poverty affecting the community and the factors affecting it are important issues in the formulation of poverty reduction programs. Design/methodology/approach - The current research is exploratory and descriptive-analytical and follows a hybrid approach. However, the present research adopts a quantitative approach in (Q) and a qualitative approach, and in the process of factor analysis. The philosophical framework is a kind of interpretive paradigm-positivism, and is a field research the community of discourse includes rural managers (governors, heads of government departments, County Department, rural directors and Dehyars), experts and local experts in the County of Miyandoab. The discourse community was identified through targeted sampling (snowball) and the (Q) collection (41 items) was arranged by 28 members of the statistical community. For data and information analysis, Stephenson's factor analysis was used based on an individual basis. Findings - Findings of the research showed that the Spreading out of rural poverty are: 1) Low economic power And inappropriate macro policies of the state, 2) Social barriers, insufficient service and investment insufficiency, 3) Environmental hazards and the level of education and awareness, 4) The weak sources of sustainable earnings and marketing mechanisms, (5) Natural sources of inappropriate production and limited spatial flows, and (6) Vulnerability of income sources and the weakness of support institutions (insurance, etc.). Among them, the first factor with a specific amount of 7.17 and a %25.64 variance was identified as the most important factor affecting rural poverty in Miyandoab County. Research limitations/implications- The most important Constraints of this research were the lack of cooperation of the authorities in the process of completing the questionnaire, and the lack of accurate statistics on rural poverty. Practical implications- The most important ways that can improve the growing situation of the poor in the study area include diversification into rural economies, improvement of economic infrastructure and change in government policies in the field of creating new and small rural businesses. Originality/value - Few studies have been conducted in this area. Therefore, consideration of the phenomenon of rural poverty and the factors influencing its expansion with the Q method is essential for accurate and logical planning by planning organizations such as the Ministry of the Interior, the Deputy Rural and Nomad Committee, and academic researchers.
۲.

تحلیل ذهنیت مدیران دستگاه های اجرایی نسبت به دورکاری کارکنان در سازمان با کاربست روش کیو(مقاله پژوهشی دانشگاه آزاد)

کلیدواژه‌ها: روش کیو ذهنیت مدیران دستگاه های اجرایی دورکاری کارکنان executive device managers mentality employee telecommuting Q method

حوزه‌های تخصصی:
تعداد بازدید : ۴۲ تعداد دانلود : ۴۵
پژوهش حاضر با هدف تحلیل ذهنیت مدیران دستگاه های اجرایی نسبت به دورکاری کارکنان در سازمان با کاربست روش کیو انجام شد. روش پژوهش برحسب هدف کاربردی، به لحاظ ماهیت اکتشافی و از حیث گردآوری داده ها، توصیفی پیمایشی است که با استفاده از روش کیو (کیفی- کمی) الگوهای ذهنی مختلف مدیران دستگاه های اجرایی نسبت به دورکاری کارکنان در سازمان احصاء شد. از بین مدیران دستگاههای اجرایی استان قم به شیوه نمونه گیری هدفمند و غیر احتمالی به تعداد 32نفر مدیر به عنوان جامعه هدف انتخاب و با آنها مصاحبه مبتنی به روش کیو (Q) انجام شد و کارت های مربوط به گزاره های کیو در بین آنها توزیع شد. بر اساس کارتهای توزیع شده، از میان 40 گزاره، 23 گزاره نهایی شناسایی و در مرحله بعد توسط مشارکت کنندگان اولویت بندی شدند. درنهایت، بر اساس یافته ها و نتایج تحلیل عاملی کیو، مشخص شد که سه الگوی ذهنی مختلف (الگوی ذهنی مدیران وضعیت محور، سازمان محور و کارمند محور) نسبت به دورکاری کارکنان وجود دارد. بر اساس نتیجه گیری نهایی می توان چنین تفسیر کرد که درصد زیادی از گزاره ها و الگوهای ذهنی شناسایی شده مدیران، وضعیت محور بوده و معتقد بودند با توجه به وضعیت و شرایط موجود مثل بحران کرونا دورکاری الزامی است اما برخی دیگر از مدیران دیدگاه سازمان محور داشتند و دورکاری را در کل به ضرر سازمان می پنداشتند در مقابل الگوی ذهنی سوم بر مفید بودن دور کاری برای کارمندان و سازمان تاکید داشتند.
۳.

Identifying and Clustering the Main Points of View Towards War Tourism (Case Study: Rahian-e Noor Camps)(مقاله علمی وزارت علوم)

کلیدواژه‌ها: Islamic Culture War Tourism Academic Community Q method K-means Clustering

حوزه‌های تخصصی:
تعداد بازدید : ۲۸ تعداد دانلود : ۲۹
During the last decade, tourism has always had an ascending approach in appealing new audiences. One of the types of tourism, which is considered the most popular type of tourism in this century, is war tourism. In Iran, war tourism is organized in the form of war tourism camps and is based on the memories and stories of the eight years of holy defense. Preserving the memory and sacrifices of the past generation is one of Iran's cultural priorities, and war tourism camp is one of the most important related cultural events in the country, which transmits these concepts to the new generation. Students and professors are among the influential groups in the society's culture and are among the main audiences of tourism, knowing more about their attitudes and views towards the war tourism can contribute to increase the productivity of this event and the satisfaction of tourists. In this regard, the aim of this study is to identify and categorize the views of the academic community towards war tourism camps. The method was to use Q approach to survey experts and categorize their views. Then, with k-means clustering algorithms, students' opinions have been analyzed with a larger sample size. According to the findings of Q analysis, 3 categories of views have been identified, and according to the outputs of the clustering algorithm, 5 clusters of views have been identified, and the generalities of these cases are very similar.