طراحی مدل پویای مدیریت کسب و کارهای نوپا بر اساس پویایی‌شناسی سیستم
محورهای موضوعی : مدیریت فناوری و اطلاعات
حمید عدل دوست
1
(
دانشجوی دکتری گروه مدیریت فناوری اطلاعات، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
)
محمود البرزی
2
(
دانشیار گروه مدیریت فناوری اطلاعات، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
)
سید عبداله امین موسوی
3
(
استادیار گروه مدیریت فناوری اطلاعات، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
)
کلید واژه: پویایی‌شناسی سیستم, کسب و کارهای نوپا, عوامل موفقیت و شکست, مدل کسب و کار ,
چکیده مقاله :
هدف این پژوهش ایجاد یک مدل پویایی‌شناسی سیستم، برای مدیریت دوره حیات کسب و کارهای نوپا -بر اساس عوامل شناسایی شده مؤثر در شکست و موفقیت این کسب و کارها و بررسی تأثیرات این عوامل در حلقه‌های مختلف است. روش این پژوهش در بخش شناسایی عوامل از نوع تئوری زمینه ای بوده و در بخش مدل سازی بر اساس پویایی‌شناسی سیستم می‌باشد. بر اساس مطالعات انجام شده، نرخ موفقیت کسب و کارهای نوپا (استارت‌آپ ها) در سراسر جهان بسیار پایین و طبق نتایج پژوهش‌ها کمتر از 10 درصد می‌باشد. لذا شناسایی عوامل مؤثر بر موفقیت و شکست استارت‌آپ‌ها و استخراج یک مدل پویا از این عوامل، می‌تواند به مدیریت استارت‌آپ‌ها و افزایش احتمال موفقیت بینجامد. جهت استخراج عوامل شکست و موفقیت در این پژوهش، 25 مصاحبه با فعالان حوزه کسب و کارهای نوپا در تهران، در چهارچوب روش نظریه زمینه‌ای ساخت گرا صورت پذیرفته است و پس از شناسایی عوامل مذکور شامل 87 مفهوم، 32 مقوله و 7 مقوله کلی، ابتدا نمودار‌های علی-حلقوی در حوزه‌های مختلف ترسیم شده و سپس یک مدل بر اساس پویایی‌شناسی سیستم، شامل 13 متغیر حالت از عوامل مؤثر ایجاد گردیده است. مدل حاصل، با تست‌های متعدد بررسی شده و نتایج نشان از امکان پیش‌بینی روند رشد و یا شکست استارت‌آپ‌ها از طریق مدل‌سازی و تعیین ضرایب مربوطه دارد.
The purpose of this research is to create a system dynamics model to manage the life cycle of start-up businesses based on the identified factors that are effective in the failure and success of these businesses and to examine the effects of these factors in different circles. The method of this research is grounded theory in the identification of factors and in the modeling part it is based on system dynamics. According to the studies, the success rate of startups around the world is very low, less than 10%. Therefore, identifying the factors affecting the success and failure of start-ups and designing a dynamic model based on these factors can lead to the management of start-ups and increase the probability of success. In order to extract failure and success factors in this research, 25 interviews were conducted with the activists of start-up businesses in Tehran, within the framework of the constructionist grounded theory method. The identified factors included 87 concepts, 32 categories and 7 general categories. To design the model, first, causal loops diagrams were drawn in different areas and then a model, based on system dynamics, was designed which included 13 stocks of effective factors. The resulting model was checked with numerous tests, the results of which revealed the possibility of predicting the growth or failure of startups through modeling and determining the relevant coefficients.
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