طراحی و اعتبارسنجی مدل بهبود خدمات توسعه کسبوکار در خوشههای صنعتی با رویکرد آمیخته
محورهای موضوعی : مدیریت کسب و کار
امیر حاجی پور
1
,
حمید عزیزمحمدلو
2
,
ناصر خانی
3
,
بیتا یزدانی
4
1 - گروه مدیریت، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران
2 - گروه حسابداری، دانشکده علوم اجتماعی، دانشگاه بین المللی امام خمینی، قزوین، ایران.
3 - گروه مدیریت، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران
4 - گروه مدیریت، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران
کلید واژه: توسعه کسبوکار, خوشههای صنعتی, غربالگری فازی , صنایع کوچک و متوسط.,
چکیده مقاله :
پژوهش حاضر با هدف شناسایی ابعاد و مؤلفههای مؤثر بر خدمات توسعه کسبوکار در خوشههای صنعتی و طراحی مدلی برای بهبود آن انجام شد. رویکرد پژوهش آمیخته و توسعهای بود. در بخش کیفی، دادهها با استفاده از روش داده بنیاد بهصورت نظاممند و با نرمافزار مکسکیودا پردازش و تحلیل شدند. در بخش کمّی، تحلیلها با بهرهگیری از غربالگری فازی و مدلسازی معادلات ساختاری با اسمارت پیالاس و تحلیلهای آماری مقدماتی با اسپیاساس انجام گرفت. جامعه آماری بخش کیفی شامل 16 نفر از خبرگان و مشاوران خوشههای صنعتی سراسر کشور بود که به دلیل تجربه و آگاهی عمیق از موضوع انتخاب شدند. جامعه آماری بخش کمّی شامل واحدهای کسبوکار مستقر در خوشههای صنعتی شهرستان اصفهان، مشاوران مراکز خدمات کسبوکار و نهادهای پشتیبان مرتبط بود. نمونهگیری در هر دو بخش بهصورت هدفمند انجام و دادهها از طریق مصاحبههای عمیق، منابع مکتوب و پایگاههای آنلاین جمعآوری شد. روایی و پایایی دادهها با بازخورد مشارکتکنندگان و باز آزمون تضمین شد. یافتهها نشان داد یک مقوله اصلی، شش مقوله محوری و 71 زیر مقوله در ابعاد عوامل علّی، زمینهای، مداخلهگر، راهبردها و پیامدها شناسایی شدند. تحلیل کمّی حاکی از تأثیر مثبت و معنادار عوامل علّی، زمینهای و مداخلهگر بر بهبود خدمات توسعه کسبوکار بود. مدل طراحی شده نشان میدهد که تقویت این عوامل میتواند عملکرد خوشههای صنعتی، رضایت، سودآوری و اثربخشی ساختارهای نهادی و سیاسی-اقتصادی را ارتقا دهد. این نتایج بر اهمیت توجه همزمان به عوامل علّی، زمینهای و مداخلهگر در ارتقای کیفیت خدمات توسعه کسبوکار تأکید دارد.
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This study aimed to identify the dimensions and components affecting business development services (BDS) in industrial clusters and to design a model for their improvement. The research adopted a mixed-methods and developmental approach. In the qualitative phase, data were systematically processed and analyzed using the Grounded Theory method, supported by MAXQDA software. In the quantitative phase, analyses were conducted employing fuzzy screening, structural equation modeling (SEM) with SmartPLS, and preliminary statistical analyses with SPSS. The qualitative sample consisted of 16 experts and consultants from industrial clusters across the country, selected for their extensive experience and in-depth knowledge of the subject. The quantitative population comprised business units located in industrial clusters in Isfahan County, business service center consultants, and relevant supporting institutions. Sampling in both phases was purposive, and data were collected through in-depth interviews, written sources, and online databases. Validity and reliability were ensured through participant feedback and test-retest methods. The findings revealed one core category, six axial categories, and 71 subcategories across causal, contextual, intervening factors, strategies, and outcomes. Quantitative analysis indicated a positive and significant impact of causal, contextual, and intervening factors on the improvement of business development services. The designed model demonstrates that strengthening these factors can enhance the performance of industrial clusters, as well as increase satisfaction, profitability, and the effectiveness of institutional and political-economic structures. These results underscore the importance of simultaneously addressing causal, contextual, and intervening factors in improving the quality of business development services. |
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