ارائه مدل سلسله مراتبی ارتقاء بهره وری سازمان های دورکار در دولت الکترونیک با رویکرد کاهش بطالت اجتماعی
محورهای موضوعی : مدیریت
کرم اله دانشفرد
1
,
رضا نجف بیگی
2
,
محسن قدیری نژادیان
3
1 - عضو هیئت علمی دانشگاه علوم تحقیقات تهران
2 - گروه مدیریت دولتی، دانشکده مدیریت و اقتصاد، دانشگاه علوم و تحقیقات، تهران، ایران
3 - دانشجوی دکتری رشته مدیریت دولتی گرایش رفتار سازمانی، دانشگاه آزاد اسلامی واحد علوم و تحقیقات، تهران، ایران
کلید واژه: بهره وری, بطالت اجتماعی, دورکاری, دولت الکترونیک,
چکیده مقاله :
کاهش بطالت اجتماعی و بهبود بهره وری طی دهه اخیر یکی از مسائل و مشکلات اصلی و مهم در سطحوح مدیریتی سازمان ها و حتی دولت ها است. در این راستا، این پژوهش با هدف ارائه مدل سلسله مراتبی ارتقاء بهره وری سازمان های دورکار در دولت الکترونیک با رویکرد کاهش بطالت اجتماعی در بانک مرکزی ج.ا.ا انجام شد. این پژوهش با استفاده از روش آمیخته (کیفی-کمی) به انجام رسید، که استخراج 11 شاخص مدل موردنظر در بخش کیفی با استفاده از تحلیل محتوا مصاحبه با 20 نفر از خبرگان دانشگاهی و سازمانی در حوزه بهره وری و بطالت اجتماعی صورت گرفت. برای دستیابی به مدل در بخش کمی از روش مدل‌سازی ساختاری تفسیری (ISM) استفاده شد. جامعه آماری در بخش کمی، شامل 16 نفر از خبرگان پژوهش بودند. تحلیل داده های دستیابی به مدلی هشت سطحی که تاثیرگذارترین شاخص های این الگو در سطح هشتم فرهنگ و ارتباطات سازمانی کارآمد و رهبری تحول آفرین گروه ها و تیم های چالشی و شاخص بهبود پاسخگویی سازمانی تاثیرپذیرترین متغیرهای این الگو بودند.
Social loafing loafing and improving productivity during the last decade is one of the main and important issues and problems at the level of organizations and even governments. In this regard, this research was conducted with the aim of presenting a hierarchical model of improving the productivity of remote work organizations in electronic government with the approach of reducing social unemployment in Central Bank of J.A. This research was carried out using a mixed method (qualitative-quantitative), which extracted 11 indicators of the desired model in the qualitative part by using content analysis and interviews with 20 academic and organizational experts in the field of productivity and social unemployment. Interpretive Structural Modeling (ISM) was used to obtain the model in the quantitative part. The statistical population in the quantitative section included 16 research experts. Data analysis to achieve an eight-level model where the most effective indicators of this model at the eighth level are efficient organizational culture and communication and transformational leadership of challenging groups and teams and the index of improving organizational responsiveness are the most effective variables of this model.
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