شناسایی چارچوب گفتمانی راه‌کارهای مقابله با تغییرات اقلیمی مبتنی بر هوش مصنوعی: تحلیل اکتشافی از کسب-وکارهای B2B

نوع مقاله : مقاله مستخرج از رساله دکتری

نویسندگان

1 دانشجوی دکترای مدیریت بازرگانی، دانشکده اقتصاد، مدیریت و علوم اداری، دانشگاه سمنان، سمنان، ایران

2 استاد گروه مدیریت، دانشکده اقتصاد، مدیریت و علوم اداری، دانشگاه سمنان، سمنان، ایران

3 دانشیار گروه مدیریت، دانشکده اقتصاد، مدیریت و علوم اداری، دانشگاه سمنان، سمنان، ایران سمنان

4 استاد گروه مدیریت، دانشکده اقتصاد، مدیریت و علوم اداری، دانشگاه سمنان، سمنان. ایران

چکیده

پیچیدگی، عدم اطمینان و تغییرات محیطی از جمله تغییرات اقلیمی، کسب­وکارهای B2B را ملزم به شناسایی راه­کارهایی برای مقابله با آن­ها و بازنگری نسبت به استراتژی­های خود کرده است. از این رو پژوهش حاضر با هدف شناسایی چارچوب گفتمانی راه­کارهای مقابله با تغییرات اقلیمی مبتنی بر هوش مصنوعی در کسب­وکارهای B2B با استفاده از روش کیو انجام گرفت. چارچوب فلسفی این پژوهش، پارادایم تفسیری-اثبات­گرایی است که از منظر هدف، کاربردی شمرده می‌شود. مشارکت‌کنندگان پژوهش که به‌صورت هدفمند و با روش گلوله برفی انتخاب شدند، 9 نفر از مدیران کسب­وکارهای B2B بودند که کسب­وکار آن­ها متاثر از تغییرات اقلیمی می­باشد. دیدگاه‌های آن‌ها با تحلیل عاملی کیو و استفاده از نرم‌افزار SPSS 25 تجزیه­وتحلیل شد. نتایج نشان می­دهد که چارچوب گفتمانی راه­کارهای مقابله با تغییرات اقلیمی مبتنی بر هوش مصنوعی در سه دسته ذهنیت، ظرفیت­سازی آموزش، کاهش و ظرفیت­سازی ادراک، قرار دارد. تغییرات اقلیمی شدیدترین تهدیدی است که نوع بشر امروزی با آن مواجه و مقابله با آن نه تنها یک ضرورت فوری جهانی بلکه یک فرصت تجاری عظیم می­باشد. از سوی دیگر هوش مصنوعی قدرتمندترین ابزاری است که بشر در قرن بیست و یکم در اختیار دارد که با استفاده از این ابزار می­تواند با این تغییرات مقابله کند و و بهره­وری خود را حفظ و یا حتی ارتقا دهد.

کلیدواژه‌ها

عنوان مقاله [English]

Identifying the discourse framework of solutions to deal with climate change based on artificial intelligence: An Exploratory Investigation of B2B Firms

نویسندگان [English]

  • Maryam Asgharinajib 1
  • Davood Feiz 2
  • Morteza Maleki MinBashRazgah 3
  • azim zarei 4
1 Ph.D. Candidate in Marketing Management, Faculty of Economics, Management and Administrative sciences, Semnan University, Semnan, Iran
2 Professor, Faculty of Economics, Management and Administrative Sciences, semnan university
3 Associate Prof., Department of Management, Faculty of Economics, Management and Administrative sciences, Semnan University, Semnan, Iran
4 Professor, Faculty of Economics, Management and Administrative Sciences, semnan university
چکیده [English]

Climate change is one of the most important challenges that has had an increasing impact on B2B businesses around the world. From this, B2B businesses are required to identify solutions to deal with climate change. One of the tools that can help these businesses in this direction is artificial intelligence. Therefore, the current research was conducted with the aim of identifying the discourse framework of solutions to deal with climate change based on artificial intelligence in B2B firms using the Q method. The philosophical framework of this research is the the interpretive-positivist paradigm (Q method), which is practical from the point of view of the goal. The research participants were 9 B2B business managers whose business is affected by climate change. Participants were selected purposefully. The views of the participants were analyzed by Q factor analysis and using SPSS 25 software. The results showed that the discourse framework of solutions to deal with climate change based on artificial intelligence is in three categories: education capacity-building, mitigation, and perception capacity-building.

کلیدواژه‌ها [English]

  • B2B firms
  • Climate change
  • Artificial intelligence
  • Q method

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نشریه علمی راهبردهای بازرگانی
دوره 18، شماره 18
اسفند 1400
صفحه 183-201

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