نوآوری‌های صنعتی

نوآوری‌های صنعتی

الگوی ساختاری استراتژی نوآوری در صنعت بانکداری: رویکرد تحول دیجیتال

نوع مقاله : مقاله پژوهشی

نویسندگان
1 گروه مدیریت تکنولوژی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.
2 گروه مدیریت فناوری، واحد کرج، دانشگاه آزاد اسلامی، کرج، ایران.
3 گروه اقتصاد، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.
4 گروه مدیریت، واحد سنندج، دانشگاه آزاد اسلامی، سنندج، ایران.
چکیده
این پژوهش با هدف شناسایی عوامل اثرگذار بر استراتژی نوآوری بانک‌ها با رویکرد تحول دیجیتال انجام شد. پژوهش حاضر از حیث هدف، کاربردی و از نظر روش، آمیخته اکتشافی بوده که در دو بخش کیفی و کمّی به‌صورت متوالی انجام شده است. در بخش کیفی، جهت گردآوری داده‌ها از مصاحبه نیمه‌ساختاریافته و در بخش کمّی از پرسش‌نامه استفاده شد. در بخش کیفی، نمونه‌گیری به شیوه هدفمند و بر اساس روش گلوله‌برفی انجام شد و بعد از مصاحبه با 14 نفر از خبرگان صنعت بانکداری، اشباع نظری به دست آمد. در بخش کمّی، نمونه آماری بر اساس جدول کرجسی مورگان به تعداد 320 نفر از متخصصین تحول دیجیتال بانک‌ها برآورد گردید. در بخش کیفی، به‌منظور شناسایی مقوله‌های کلیدی استراتژی نوآوری، از روش داده‌بنیاد و کدگذاری در نرم‌افزار Maxqda استفاده شد. در بخش کمّی، به‌منظور اعتبارسنجی الگوی به‌دست‌آمده، داده‌های پرسش‌نامه با استفاده از تحلیل عاملی تأییدی در نرم‌افزار AMOS تحلیل گردید. مطابق نتایج بخش کیفی، به‌طورکلی 169 شاخص، 26 مؤلفه و 6 بُعد شناسایی‌شده بر استراتژی نوآوری در بستر تحول دیجیتال اثرگذار هستند. ابعاد و ضرایب مسیر آن‌ها عبارت‌اند از بلوغ دیجیتال (64/)0، مدیریت نوآوری (46/0)، سیستم‌ها و منابع سازمانی (42/0)، محیط کلان (27/0)، قابلیت‌های پویا (21/0) و صنعت مالی (19/0). در بخش کمّی، 4 شاخص حذف شد و یافته‌ها نشان داد بُعد بلوغ دیجیتال، بیشترین اثرگذاری را دارد. در این بُعد، مؤلفه رهبر تحول دیجیتال با ضریب مسیر 985/0 دارای بالاترین تأثیر است. پژوهش حاضر از حیث پرداختن به بُعد «بلوغ دیجیتال» ‌به‌عنوان یک بُعد نوظهور اثرگذار، دارای نوآوری بوده و به این پرسش اصلی پاسخ داده است که الگوی ساختاری استراتژی نوآوری با رویکرد تحویل دیجیتال در صنعت بانکداری ایران چگونه است؟
کلیدواژه‌ها

عنوان مقاله English

Structural Model of Innovation Strategy in the Banking Industry: Digital Transformation Approach

نویسندگان English

hamideh hadadi 1
abbas khamseh 2
taghi torabi 3
roya shakeri 4
1 Department of Technology Management, SR.C., Islamic Azad University, Tehran, Iran.
2 Department of Technology Management, Ka.C., Islamic Azad University, Karaj, Iran.
3 Department of Economics, SR.C., Islamic Azad University, Tehran, Iran.
4 Department of Management, Sa.C., Islamic Azad University, Sanandaj, Iran.
چکیده English

The present study was conducted with the aim of identifying the factors influencing banks’ innovation strategy with a digital transformation approach. In terms of purpose, the research is applied, and in terms of methodology, it follows an exploratory mixed-methods design, carried out sequentially in two qualitative and quantitative phases. In the qualitative phase, data were collected through semi-structured interviews, while in the quantitative phase, a questionnaire was used. In the qualitative phase, sampling was conducted purposively using the snowball method, and theoretical saturation was achieved after interviews with 14 experts from the banking industry. In the quantitative phase, the statistical sample size was estimated at 320 specialists in banks’ digital transformation based on the Krejcie and Morgan table. In the qualitative phase, the grounded theory method and coding procedures were employed using MAXQDA software to identify the key categories of the innovation strategy. In the quantitative phase, in order to validate the extracted model, questionnaire data were analyzed using confirmatory factor analysis (CFA) in AMOS software. The results of the qualitative phase indicate that 169 indicators, 26 components, and 6 dimensions were identified as influencing the innovation strategy within the context of digital transformation. These dimensions and their path coefficients are as follows: digital maturity (0.64), innovation management (0.46), organizational systems and resources (0.42), macro environment (0.27), dynamic capabilities (0.21), and the financial industry (0.19). In the quantitative phase, four indicators were removed, and the findings revealed that the digital maturity dimension has the greatest impact. Within this dimension, the component of digital transformation leadership, with a path coefficient of 0.985, exhibits the highest level of influence. The current study is innovative in its focus on the “digital maturity” dimension as an emerging and influential factor, and it addresses the main research question of how the structural model of innovation strategy, with a digital transformation approach, is configured in Iran’s banking industry.

کلیدواژه‌ها English

Innovation Strategy
Digital Transformation
Organizational Capabilities
Iranian Banking
Structural Equations
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دوره 3، شماره 4 - شماره پیاپی 12
در حال انتشار
زمستان 1404
صفحه 37-81

  • تاریخ دریافت 21 مهر 1404
  • تاریخ بازنگری 24 بهمن 1404
  • تاریخ پذیرش 08 اسفند 1404