روشندل اربطانی, طاهر, کاظمی, حسین, حاج اسماعیلی, فهیمه. (1395). مدلسازی عوامل اثرگذار بر دسترسی فیزیکی به رایانه و اینترنت با استفاده از شبکه‌های عصبی ـ فازی تطبیقی. فصلنامه علمی-پژوهشی مدیریت فناوری اطلاعات, 8(3), 451-566. doi: 10.22059/jitm.2016.58395
طاهر روشندل اربطانی; حسین کاظمی; فهیمه حاج اسماعیلی. "مدلسازی عوامل اثرگذار بر دسترسی فیزیکی به رایانه و اینترنت با استفاده از شبکه‌های عصبی ـ فازی تطبیقی". فصلنامه علمی-پژوهشی مدیریت فناوری اطلاعات, 8, 3, 1395, 451-566. doi: 10.22059/jitm.2016.58395
روشندل اربطانی, طاهر, کاظمی, حسین, حاج اسماعیلی, فهیمه. (1395). 'مدلسازی عوامل اثرگذار بر دسترسی فیزیکی به رایانه و اینترنت با استفاده از شبکه‌های عصبی ـ فازی تطبیقی', فصلنامه علمی-پژوهشی مدیریت فناوری اطلاعات, 8(3), pp. 451-566. doi: 10.22059/jitm.2016.58395
روشندل اربطانی, طاهر, کاظمی, حسین, حاج اسماعیلی, فهیمه. مدلسازی عوامل اثرگذار بر دسترسی فیزیکی به رایانه و اینترنت با استفاده از شبکه‌های عصبی ـ فازی تطبیقی. فصلنامه علمی-پژوهشی مدیریت فناوری اطلاعات, 1395; 8(3): 451-566. doi: 10.22059/jitm.2016.58395
1دانشیار گروه مدیریت، دانشکدۀ مدیریت، دانشگاه تهران، تهران، ایران
2استادیار گروه مدیریت، دانشکدۀ علوم اداری واقتصاد، دانشگاه ولی عصر(عج)، رفسنجان، ایران
3کارشناسارشد مدیریت دولتی ـ سیستم‌های اطلاعاتی، دانشکدۀ علوم اداری و اقتصاد، دانشگاه ولی عصر(عج)، رفسنجان، ایران
چکیده
امروزه جامعۀ جهانی با چالش جدیدی به نام شکاف دیجیتالی روبهروست که این چالش به نابرابری در دسترسی و استفاده از محصولات و خدمات فناوری‌‌های اطلاعاتی و ارتباطی بین افراد و جوامع منجر می‌شود. اهمیت پدیدۀ شکاف دیجیتالی بهدلیل تأثیر سیاسی، اقتصادی، اجتماعی و فرهنگی آن بر زندگی روزمرۀ افراد و وضعیت داخلی و بینالمللی کشور است. این پژوهش با هدف کاربردی، پس از شناسایی عوامل تأثیرگذار بر دسترسی افراد به رایانه و اینترنت در سطح شهروندان رفسنجان با استفاده از داده‌های 501 پرسشنامۀ پاسخ داده شده، به مدلسازی این عوامل با استفاده از شبکه‌های عصبی ـ فازی تطبیقی پرداخته است. نتایج پژوهش نشان داد سواد و مهارت دیجیتالی، عامل اقتصادی و دسترسی انگیزشی نسبت به سایر عوامل، بیشترین تأثیر را بر دسترسی فیزیکی افراد به رایانه و اینترنت دارد. از مقایسۀ نتایج پژوهش با نتایج روش معادلات ساختاری، مشخص شد هر دو نتیجه با یکدیگر همخوانی دارند.
1Associate Prof., Faculty of Management, University of Tehran, Iran
2Assistant Prof., Faculty of Administrative Science and Economics, Vali-e-asr University, Rafsanjan, Iran
3MSc, Public Administration-Information Systems, Faculty of Administrative Science and Economics, Vali-e-asr University, Rafsanjan, Iran
چکیده [English]
Today, the global community is facing with a new challenge called digital divide which leads to inequality in access to and use of information and communication technology products and services among individuals and communities. The importance of Digital Dived is because of its political, economic, social and cultural impacts on the daily lives of individuals and a country's domestic and international situation. Thus, this applied article aimed to identify the effective factors in individuals' access to computers and Internet using the data obtained from 501 questionnaires distributed among citizens of Rafsanjan. Then, these factors were modeled using adaptive fuzzy neural networks. The results showed that digital literacy and skills, economic factor, and motivational access had the highest impacts on physical access to computers and the Internet rather than other factors. The comparison of the results with outcomes of structural equation modeling, indicated that both were compatible with each other
کلیدواژه‌ها [English]
Adaptive Fuzzy Neural Networks, Digital Divide/Gap, Information and Communication Technology, Physical Access
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