نوع مقاله : مقاله پژوهشی
نویسندگان
1 دکترای تخصصی بازاریابی، گروه مدیریت بازرگانی، دانشکده علوم اجتماعی، دانشگاه محقق اردبیلی، اردبیل. ایران.
2 پژوهشگر در مؤسسه تحقیقات سیاستی شریف (SPRI)؛ دانشگاه صنعتی شریف، تهران، ایران
3 دانشجوی دکترای بازاریابی، گروه مدیریت بازرگانی، دانشکده اقتصاد و مدیریت، دانشگاه ارومیه، ارومیه، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Objective: The rapid progress of digital technologies in high-tech industries has fundamentally transformed the logic of competition and patterns of value creation, while simultaneously exposing the inherent limitations of traditional coordination and monitoring mechanisms. Within this context, digital governance has emerged as a novel framework—grounded in algorithms and intelligent protocols—for the management of data and the regulation of digital actions. Nevertheless, the effective implementation of digital governance is contingent upon the integration of knowledge processes; that is, the systematic coordination among the activities of knowledge creation, storage, sharing, and application. In the absence of such integration, even the most sophisticated governance mechanisms are unlikely to yield sustainable improvements in knowledge management. Moreover, high-tech industries operate within environments characterized by escalating complexity, wherein multiple stakeholders, technological diversity, and rapidly evolving regulatory perspectives pose considerable challenges for the management of knowledge flows. This environmental complexity has the potential to moderate the intensity of the relationships among digital governance, knowledge process integration, and knowledge management. Although numerous studies have examined each of these constructs individually, a systematic review of the research literature reveals a clear theoretical gap regarding the simultaneous and empirical investigation of their interrelationships within the specific context of high-tech industries. Accordingly, this research aims to examine the mediating role of knowledge process integration and the moderating role of environmental complexity in the relationship between digital governance and knowledge management.
Methodology: To empirically investigate these complex relationships, the research employed a quantitative design focused on companies active in high-tech industries. Data collection was carried out using structured questionnaires distributed among managers, information technology specialists, and knowledge workers within science and technology parks, in order to obtain a comprehensive perspective encompassing different organizational roles and functions. A random sampling technique was utilized, and the minimum required sample size was determined based on Daniel Soper's (2025) guidelines for structural equation modeling. Following the application of rigorous screening criteria to eliminate incomplete, inconsistent, or invalid responses, a total of 210 valid questionnaires remained for final analysis. The measurement instruments were adapted from previously validated scales to ensure their reliability and content validity.
Results: The analyses confirmed that all factor loading coefficients for the questionnaire items exceeded 0.40, and the t-statistic values were greater than 1.96, indicating that the indicators for the research variables are statistically acceptable. The reliability coefficients for the research variables were above 0.70, demonstrating the adequacy of the instrument's reliability; therefore, the questionnaire items and variables possess desirable reliability. The correlation of each construct with other constructs was assessed through Average Variance Extracted (AVE), wherein all values exceeded 0.50, indicating acceptable convergent validity for the model. Furthermore, an evaluation of the correlation of each construct with other constructs in the model demonstrated that the discriminant validity of the constructs is at an acceptable level. The obtained values for R², Q², and GOF indicated a strong overall fit for the model under investigation.
Conclusion: The findings demonstrate that digital governance exerts a positive and significant influence on knowledge management, as it functions as a control mechanism that enhances data quality and facilitates knowledge sharing. Additionally, by establishing coherent policies and standards, digital governance facilitates the integration of knowledge processes and prevents the fragmentation of organizational activities. The results also confirm that knowledge process integration directly and positively affects knowledge management, improving efficiency and the quality of outputs by creating a continuous chain of knowledge-related activities. Furthermore, knowledge process integration plays a significant mediating role in the relationship between digital governance and knowledge management; this implies that digital governance primarily enhances the effectiveness of knowledge management by strengthening the coherence and coordination of knowledge. Finally, environmental complexity acts as a significant moderator, influencing the strength of the relationship between digital governance and knowledge management. Specifically, in highly complex environments characterized by uncertainty and rapid changes, the role of digital governance in enabling effective knowledge management becomes more critical and prominent. All findings are consistent with prior research.
کلیدواژهها [English]
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