طراحی مدل سرمایه ساختاری کاهنده فساد در شبکه بانکی با استفاده از نظریه داده بنیاد (مقاله علمی وزارت علوم)
درجه علمی: نشریه علمی (وزارت علوم)
آرشیو
چکیده
پژوهش حاضر با هدف طراحی مدل سرمایه ساختاری کاهنده فساد در شبکه بانکی با استفاده از نظریه داده بنیاد انجام گرفته است. این پژوهش از نوع پژوهش های کیفی و در حوزه پارادایم استقرایی است. در پژوهش حاضر از مصاحبه نیمه ساختاریافته به عنوان ابزار جمع آوری داده ها استفاده شده که داده های حاصل از آن با بهره گیری از کدگذاری باز، محوری و انتخابی تحلیل شده اند. در بخش کیفی برای انتخاب نمونه از نمونه گیری هدفمند بهره گیری شده که بر اساس اصل کفایت نظری، با استفاده از 21 مصاحبه این مهم حاصل شده است. برای اعتبارسنجی یافته ها از روش خودبازبینی محقق و تکنیک کنترل اعضا استفاده شد. نتایج پژوهش مشتمل بر شناسایی عوامل علّی، زمینه ای، مداخله گر و پیامدهای سرمایه ساختاری کاهنده فساد و درنهایت ارائه مدل نهایی سرمایه ساختاری کاهنده فساد در شبکه بانکی است. برای اعتباریابی مدل پژوهش از نرم افزار مدلسازی معادلات ساختاری استفاده گردید. تعداد 200 پرسشنامه به صورت نمونه گیری در دسترس در میان افراد توزیع شد و از این میان 190 پرسشنامه صحیح جمع آوری گردید. ابزار گردآوری داده ها پرسشنامه ای محقق ساخته بود که با لحاظ شدن دیدگاه های چند تن از اساتید مدیریت در آن که بر روایی دلالت داشت، تعداد آن ها تقلیل یافت. نتایج حاکی از آن است که پیشرفت های فناوری اطلاعات، وجود سازمان های نظارتی متعدد ازجمله بانک مرکزی، خواست مقامات ارشد کشور بر مبارزه با فساد، الزامات سازمان های بین المللی، مقررات مبارزه با پول شویی، قانون منع مداخله کارکنان دولت و استانداردهای بانکداری بازل به عنوان عوامل علَی سرمایه ساختاری کاهنده فساد در شبکه بانکی شناخته شده اند.Designing a Model for Corruption Reducing Structural Capital in the Banking Network Using Grounded Theory
1- INTRODUCTION
Organizations use various tools to control corruption and organizational misconduct. Some organizations take a passive approach and fight corruption, and some focus on proactive controls. In the meantime, the leading organizations to make the organization healthy include efficient operational processes, flexible and responsive structure to the environment, innovation atmosphere, and so on. They use what is known as structural capital. The present study used grounded theory to design a structural capital model to reduce corruption in the banking network.
2- THEORETICAL FRAMEWORK
Structural capital is a function of human capital and the determining factor of organizational form. On the other hand, structural capital is created openly and independently of human capital as soon as it is affected by human capital. For example, organizational structure and organizational culture can have fundamental independent effects. Therefore, structural and human capital help organizations interact with each other. The organization's mission and vision, core values, strategies, work systems, and internal processes, known as structural capital, play a vital role in preventing administrative and financial corruption and dramatically reducing the cost of fighting it. Therefore, the leading question of the research is how the structural capital in the banking network is formed to reduce corruption, what are the causal, contextual, and intervening factors for the formation of this capital, and what strategies can be used to reduce corruption and organizational health.
3- METHODOLOGY
This research is a qualitative study adopting an inductive paradigm. In the present study, semi-structured interviews were used as a data collection tool, and the resulting data were analyzed using open, central, and selective coding. In the qualitative part, purposeful sampling was used to conduct 21 interviews based on theoretical saturation. The findings were validated through the researcher's self-review and member control technique. The results of the research include the identification of causal, background, intervening factors, and the consequences of structural capital that reduces corruption and finally presents the final model of structural capital that reduces corruption in the banking network. Structural equation modeling software was used to validate the research model. Two hundred questionnaires were distributed among the available people, and finally, 190 well-qualified questionnaires were collected. The data collection tool was a researcher-made questionnaire, whose validity was confirmed by considering the opinions of several management professors.
4- RESULTS & DISCUSSION
The results indicate that the advances in information technology, the existence of several regulatory organizations, including the central bank, the desire of the country's top officials to fight corruption, the requirements of international organizations, anti-money laundering regulations, the law prohibiting interference of government employees and Basel banking standards were identified as the causal factors of structural capital that reduce corruption in the banking network.
5- CONCLUSIONS & SUGGESTIONS
In general, it can be said that according to the extracted categories and the proposed research model, it can be concluded that to reduce and eliminate corruption in the banking system, it is necessary to revise the indicators of structural capital in organizations. They say What causes the reduction of administrative corruption is the design of correct, rational, and transparent systems and mechanisms, especially in sectors prone to corruption. In other words, proactive control in the form of structural capital is much more effective than retrospective control in dealing with administrative corruption. Therefore, this research provides insight into reducing administrative corruption, which is necessary to close the way to financial corruption using structural capital. Dealing with corruption after the commission of corruption is like an after-death cure. Proper structuring and developing the organization's structural capital is considered a strong barrier against corruption in the banking network.
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