مدل درختي توسعۀ زيرساخت فناوري اطلاعات سازمان‌هاي ورزشي از ديدگاه خبرگان تربيت بدني و ورزش

ﻓﻨﺎوري اﻃﻼﻋﺎت ﺑﻪﻋﻨﻮان ﯾﮏ زﯾﺮﺳﺎﺧﺖ ﺟﺪﯾﺪ ﺗﻮﺟﻪ زﯾﺎدي را ﺑﻪ ﺗﺄﺛﯿﺮ ﺧﻮد در ﺳﺎزﻣﺎنﻫﺎي ورزﺷﯽ ﺟﻠﺐ ﮐﺮده اﺳﺖ. اﻣﺮوزه ورزش و ﺳﺎزﻣﺎنﻫﺎي ورزﺷﯽ ﺑﺮاي ﺣﻀﻮر ﮐﺎرا و ﻣﺆﺛﺮ در ﻋﺮﺻﻪﻫﺎي ﻣﺨﺘﻠﻒ ورزﺷﯽ، اﻗﺘﺼﺎدي و اﺟﺘﻤﺎﻋﯽ ﺑﺎﯾﺪ زﯾﺮﺳﺎﺧﺖﻫﺎي ﻓﻨﺎوري را ﺗﻮﺳﻌﻪ دﻫﻨﺪ. ﺑﻨﺎﺑﺮاﯾﻦ ﻫﺪف از ﺗﺤﻘﯿﻖ ﺣﺎﺿﺮ، اراﺋﮥ ﻣﺪل درﺧﺘﯽ ﺗﻮﺳﻌﮥ زﯾﺮﺳﺎﺧﺖ ﻓﻨﺎوري اﻃﻼﻋﺎت ﺳﺎزﻣﺎنﻫﺎي ورزﺷﯽ از دﯾﺪﮔﺎه ﺧﺒﺮﮔﺎن ﺗﺮﺑﯿﺖ ﺑﺪﻧﯽ و ورزش اﺳﺖ. روش اﻧﺠﺎم ﺗﺤﻘﯿﻖ ﮐﯿﻔﯽ و ﺑﻪ ﻟﺤﺎظ ﺟﻤﻊآوري اﻃﻼﻋﺎت ﺑﺎ اﺳﺘﺮاﺗﮋي ﭘﺪﯾﺪارﺷﻨﺎﺳﯽ و ﺷﯿﻮة ﻣﺼﺎﺣﺒﮥ ﻋﻤﯿﻖ ﺳﺎﺧﺘﺎرﻧﯿﺎﻓﺘﻪ اﺳﺖ. ﺟﺎﻣﻌﮥ آﻣﺎري ﺗﺤﻘﯿﻖ، ﮔﺮوه آﺷﻨﺎ ﺑﻪ ﻣﻮﺿﻮع ﺧﺒﺮﮔﺎن ورزﺷﯽ )ﻓﻌﺎﻻن ﺣﻮزة ﻓﻨﺎوري اﻃﻼﻋﺎت ورزش، اﺳﺘﺎدان داﻧﺸﮕﺎه، ﻧﻘﺶآﻓﺮﯾﻨﺎن ﻓﻨﺎوري و زﯾﺮﺳﺎﺧﺖ ﺳﺎزﻣﺎنﻫﺎي ورزﺷﯽ( ﺑﻮدﻧﺪ، ﻧﻤﻮﻧﻪﻫﺎ از ﻃﺮﯾﻖ روش ﮔﻠﻮﻟﻪﺑﺮﻓﯽ اﻧﺘﺨﺎب ﺷﺪﻧﺪ و ﺗﻌﺪاد ﻧﻤﻮﻧﻪﻫﺎﯾﯽ ﮐﻪ ﺑﺎ آﻧﻬﺎ ﺗﺎ رﺳﯿﺪن ﺑﻪ اﺷﺒﺎع ﻧﻈﺮي ﻣﺼﺎﺣﺒﻪ ﺷﺪ، 15 ﻧﻔﺮ ﺑﻮدﻧﺪ. ﯾﺎﻓﺘﻪﻫﺎي ﺣﺎﺻﻞ از ﻣﺼﺎﺣﺒﮥ ﻋﻤﯿﻖ ﺑﺎ ﮐﺪﮔﺬاري ﺑﺎز، ﻣﺤﻮري و اﻧﺘﺨﺎﺑﯽ ﺑﻪ ﻣﺪل درﺧﺘﯽ زﯾﺮﺳﺎﺧﺖ ﻓﻨﺎوري اﻃﻼﻋﺎت در ﺳﺎزﻣﺎنﻫﺎي ورزﺷﯽ رﺳﯿﺪه ﮐﻪ ﺷﺎﯾﺴﺘﮕﯽ ﮐﺎرﮐﻨﺎن، ﻗﺎﺑﻠﯿﺖ ﺗﻨﻈﯿﻢ، ﺳﺎزﮔﺎري، اﺗﺼﺎل، ﺳﺮﻋﺖ، ﺑﺨﺶﺑﻨﺪي، اﻣﮑﺎﻧﺎت و ﻧﻮﯾﻦ ﺑﻮدن ﻓﻨﺎوري ﺟﺰء ﻣﺤﻮرﻫﺎي اﺻﻠﯽ اﯾﻦ زﯾﺮﺳﺎﺧﺖ ﻗﻠﻤﺪاد ﺷﺪﻧﺪ، ﺑﺮاي اﻃﻤﯿﻨﺎن ﺑﯿﺸﺘﺮ از ﻋﻮاﻣﻞ ﮐﺪﮔﺬاريﻫﺎ ﺑﺎ ﻧﺮماﻓﺰار ﻣﮑﺲ ﮐﯿﻮ دي اي ﻧﺴﺨﮥ 12 و ﺗﻮﺳﻂ دو ﮐﺪﮔﺬار آﺷﻨﺎ ﺻﻮرت ﮔﺮﻓﺖ و ﺿﺮﯾﺐ ﺗﻮاﻓﻖ 81 درﺻﺪ ﺣﺎﺻﻞ ﺷﺪ. ﻣﺪل ﻣﺮﺑﻮﻃﻪ اﺣﺘﻤﺎﻻ ًﻣﯽﺗﻮاﻧﺪ ﻣﺪل ﺗﻮﺳﻌﮥ زﯾﺮﺳﺎﺧﺖ ﻓﻨﺎوري در ورزش و ﺳﺎزﻣﺎنﻫﺎي ورزﺷﯽ را ﺗﺴﻬﯿﻞ ﮐﻨﺪ.

Information Technology as a new infrastructure has attracted much attention to its impact on sports organizations. Today, sports and sports organizations need to develop technology infrastructure for effective participation in fields of sport, economics, and society. Therefore, the aim of this study was to introduce a Tree model for information technology development of sports organizations from physical education and sports expertise's point of view. The research method was qualitative and in terms of data collection, it was phenomenological which was carried out in-depth interview approaches. The study population consisted of a group that has a good command of the issue, including sports experts (active individuals in the sports information technology field, university professors, technology contributors and entrepreneurs, and sports infrastructure organizations); data was collected using the snowball sampling method and it achieved theoretical saturation using the viewpoints of 15 experts. The results of the in-depth interviews were converted into the tree model of information infrastructure in sport organizations using the open, axial, and selective coding methods. findings show that IT personnel competency, Scalability Continuity, adaptability, connectivity, technology speed, Modularity, Facility and technology Modernity are the main pillars of these infrastructures, to ensure the consistency of the encoding factors, MAXQDA Software (Version 12) was used with two expert codifiers and the coefficient of agreement of 81 % was obtained. It seems the relevant model may be able to develop the technology infrastructure in sports and sports organizations.