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ارزیابی کارایی شرکت های هواپیمایی با هدف افزایش درآمد و کاهش انتشار co2 با روش تحلیل پوششی داده های دومرحله ای
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نویسنده
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سنچولی فرهاد
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منبع
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همايش ملي گردشگري خلاق، فرصتها و چالشها - 1402 - دوره : 1 - همایش ملی گردشگری خلاق، فرصتها و چالشها - کد همایش: 02230-89762 - صفحه:0 -0
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چکیده
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ﺻﻨﻌﺖ ﻫﻮاﻧﻮردی در ﺳﺮاﺳﺮ ﺟﻬﺎن ﺑﺎ ﺳﺮﻋﺘﯽ ﺑﺎﻻ در ﺣﺎل رﺷﺪ اﺳﺖ و از اﺑﺘﺪای ﺗﻮﻟﺪ اﯾﻦ ﺻﻨﻌﺖ، ﮐﺎراﯾﯽ ﺧﻄﻮط ﻫﻮاﭘﯿﻤﺎﯾﯽ مورد ﺗﻮﺟﻪ ﺑﻮده اﺳﺖ. ﺑﺎ اﯾﻦ ﺣﺎل، ﺑﺎ وﺟﻮد اﻓﺰاﯾﺶ درآﻣﺪ آن، ﺻﻨﻌﺖ ﻫﻮاﻧﻮردی در ﭼﻨﺪ ﺳﺎل ﮔﺬﺷﺘﻪ در ﺗﺨﺮﯾﺐ ﻣﺤﯿﻂ زﯾﺴﺖ موثر ﺑﻮده اﺳﺖ. ﺗﺤﻠﯿﻞ ﭘﻮﺷﺸﯽ دادهﻫﺎ ﻧﯿﺰ ﺑﻪ روﺷﯽ ﺑﺴﯿﺎر ﭘﺬﯾﺮﻓﺘﻪ ﺷﺪه ﺑﺮای اﻧﺠﺎم ﺗﺤﻠﯿﻞ ﮐﺎراﯾﯽ و ارزﯾﺎﺑﯽ ﺗﻔﺎوت ﻫﺎی ﻧﺴﺒﯽ ﺑﯿﻦ واﺣﺪﻫﺎی ﺗﺠﺎری ﻗﺎﺑﻞ ﻣﻘﺎﯾﺴﻪ ﺗﺒﺪﯾﻞ ﺷﺪه اﺳﺖ. اﯾﻦ ﻣﻘﺎﻟﻪ ﺑﺮ ارزﯾﺎﺑﯽ ﮐﺎراﯾﯽ 11 ﺷﺮﮐﺖ ﻫﻮاﭘﯿﻤﺎﯾﯽ در ﻃﯽ ﺳﺎلﻫﺎی 2001 اﻟﯽ 2010 ﻣﺘﻤﺮﮐﺰ ﺷﺪه اﺳﺖ. در اﯾﻦ ﺗﺤﻘﯿﻖ ﺑﻪ ﻣﻨﻈﻮر ارزﯾﺎﺑﯽ ﻋﻤﻠﮑﺮد ﮐﻞ ﺷﺮﮐﺖﻫﺎ و ﻧﯿﺰ ﺑﺨﺶ ﭘﺸﺘﯿﺒﺎﻧﯽ و ﺑﺨﺶ ﭘﺮواز آنﻫﺎ ﺑﺎ ﻫﺪف اﻓﺰاﯾﺶ درآﻣﺪ ﻧﻬﺎﯾﯽ ﺳﯿﺴﺘﻢ و ﮐﺎﻫﺶ ﻣﯿﺰان اﻧﺘﺸﺎر co2، از ﻣﺪل ﺗﺤﻠﯿﻞ ﭘﻮﺷﺸﯽ دادهﻫﺎی ﺷﺒﮑﻪای ﺑﺎ داده ﻧﺎﻣﻄﻠﻮب اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ.
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کلیدواژه
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خطوط هواپیمایی، کارایی عملیاتی، تحلیل پوششی داده های دومرحله ای، انتشار co2
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آدرس
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, iran
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پست الکترونیکی
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fsanchooli@gmail.com
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evaluating the efficiency of airline companies with the aim of increasing revenue and reducing co2 emissions with the two-stage data envelopment analysis method
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Authors
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Abstract
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the aviation industry around the world is growing at a high speed, and since the beginning of this industry, the efficiency of airlines has been of interest. however, despite its increased revenue, the aviation industry has been contributing to environmental degradation over the past few years. data envelopment analysis has also become a very accepted method for performing performance analysis and evaluating relative differences between comparable business units. this article is focused on evaluating the efficiency of 11 airlines during the years 2001 to 2010. in this research, in order to evaluate the performance of the entire companies, as well as their support and flight departments, with the aim of increasing the final revenue of the system and reducing the amount of co2 emissions, the network data coverage analysis model with unfavorable data was used. is.
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Keywords
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airlines ,operational efficiency ,two-stage data envelopment analysis ,co2 emissions
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