# Digital Infrastructure as a New Organizational Digital Climate Dimension
## 5 Discussion
### Limitations  
For assessing the validity of the study findings in a qualitative research context, we discuss the four components of trustworthiness: credibility, transferability, dependability, and confirmability [62; 78]. Credibility, which pertains to the degree to which the findings accurately represent participants' perspectives [78], was a primary focus. This was addressed through member verification, a technique advocated by [PERSON] (2019), involving the transcription of interviews, summarization of key points, and participant validation [79]. This process enabled participants to verify the accuracy of the findings, correct errors, and contribute additional insights. However, challenges such as social desirability bias, where participants might tailor responses to conform to perceived social norms, posed a risk to credibility. To mitigate this, methodologies by [PERSON] (2007) [80] and [PERSON] (1981) [62] were implemented to build trust and ensure data anonymity. Potential misinterpretation or lack of comprehension of theoretical concepts by participants was another concern. To address this, interview questions were clarified and modified following discussions with a subset of participants, and open-ended questions were used to facilitate comprehensive understanding. Transferability, referring to the generalizability of findings [78], was another key aspect. The research sought to assess the applicability of digital climate dimensions and antecedents observed within the case study organization's diverse subunits. While the organization's variety of routines, structures, and geographical locations provided a rich context, it is important to acknowledge that this single organization does not represent the full spectrum of organization types and domains. Therefore, the transferability of the conclusions to other contexts should be approached with caution. We attempted to mitigate this through purposeful sampling [62], selecting interviewees from various units in the organization with different characteristics to enhance the potential applicability of the findings. However, the representativeness of this sample remains a limitation, as the participants may not embody the full diversity of organizations. In our study, confirmability was addressed through an audit trail approach ([PERSON], 2011). An external auditor, a member of the GPO with a PhD in behavioral sciences, thoroughly examined the research methods and findings to identify and address any errors or biases. This process of rigorous external scrutiny affirmed the reliability of the research findings. Dependability, the stability of findings over time [78], was also a focal point of concern. The research method and procedures were meticulously documented, and data collection continued until a saturation point in identifying stable codes and categories was reached. Saturation was observed after 16 interviews, ensuring that the study methods were repeatable and reliable. Additionally, peer debriefing [81] was employed, involving consultations with external colleagues to assess the consistency of the coding process. The [PERSON]'s Kappa coefficient [63], a statistical measure for assessing inter-rater agreement, yielded a coefficient of 0.621, indicating high agreement and further confirming the dependability of the findings. While our findings are based on a single governmental public organization, the implications of our proposed digital infrastructure model have broader potential applications. Research by [PERSON] et al. (2014) suggests that digital transformation challenges are often similar across various organizational contexts, indicating the potential applicability of our methodology in diverse entrepreneurial environments [82]. However, it is crucial to acknowledge that businesses face varying challenges across industries and geographic regions. A comprehensive study by [PERSON] et al. (2017) for McKinsey Global Institute highlighted significant differences in digital adoption and infrastructure across countries and sectors [83].