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It has been recognized that data curation and governance can equip firms with the capability to generate sustainable knowledge. However, the antecedent and consequences of sustainable knowledge creation have not been systematically explored. The model in this study describes how sustainable knowledge creation enhances corporate information transpar...
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... AVE scores were higher than the squared interconstruct correlations [62]. In summation, these outcomes provided evidence of construct reliability and convergent and divergent validity (see Table 1). Corporate data governance exerts a positive impact on sustainable knowledge creation (β = 0.63, < 0.000) and explains 39% of the variance in sustainable knowledge creation. ...Citations
... The research of [30] introduces the development of a balanced scorecard to address green storage policies that integrate environmental performance in organizational strategy and identify critical issues (e.g., contributor, success factors) for sustainable data governance. The survey conducted by [3] highlights the importance of data governance to build sustainable knowledge, which is of great importance for organizations to promote transparency, innovation, and market and financial performance, contributing to economic and social sustainability. Additionally, the authors propose a set of guidelines for corporate officers to deploy measures that contribute to sustainable knowledge. ...
We present a systematic literature review based on bibliometric analysis to clarify the role of data governance in sustainable development. We made a concept-centric review of 35 relevant papers (out of an initial set of 2214) selected from Scopus and Web of Science and classified them into (1) sector-specific, (2) causal relationships and approaches, (3) data accessibility for sustainable development, and (4) smart contexts. Our contribution includes a conceptual framework for sustainable data governance in product lifecycles. Pursuing data-driven sustainability requires actions in structure, processes, and relational mechanisms. Data attributes (e.g., privacy, immutability, permissions, fairness), scope of data to be covered, and supporting technology are increasingly important to reduce all forms of waste while ensuring a long-term strategy to generate sustainable value from data.
... Implementing a data governance initiative and thriving from it is very challenging due to its ambiguity and abstraction, and the lack of interest in this subject leads to an erroneous approach in what regards data governance processes. Furthermore, there is limited research on sustainable data governance frameworks [4], which minimizes the importance of the subject in the companies. ...
... The above findings are consistent with the literature's conclusion that data governance fosters the relevance, completeness, accessibility, shareability, and quality [46,47,50,51] of sustainable knowledge creation, which, in turn, leads to higher accountability and therefore transparency of information and performance [98]. ...
Accountability assessment is a highly relevant challenge for companies nowadays. The COVID-19 pandemic prompted a digital acceleration in business environments, which in turn brought more focus on sustainability practices that could help organizations better demonstrate their accountability, thus making them more resilient to the ever-changing socio-economic context. Therefore, this paper aims to evaluate how to further improve corporate accountability (on a strategic and operational level), taking advantage of the digitalization changes that companies are being forced to go through and applying them to the sustainability evaluation process, including the reporting as its final output. The first research outcome is a combined framework, based on data governance and sustainability literature models, seeking to optimize the manageability of sustainability data. The second outcome is a matrix, based on a content analysis of 20 sustainability reports, representing eight possible types of behavior that companies adopt when integrating digitalization practices into their sustainability evaluation process. The aim is to explore how the communication of digital activities could refine the diligence of the sustainability assessment process, with disclosure representing its last step. Finally, the ‘leading’ case was broken down into the general strategic components that could potentially be included in a balanced data-sustainability reporting strategy.
... Information is especially useful for developing and sustaining a company's competitiveness in terms of its products and services on the market [4][5][6]. It is achieved by organizational control of information processes that involve information processing such as the acquisition, recording, organization, retrieval, display, or dissemination of information. ...
Employees use mobile phones for several information processes at work, either in relation to their work or their personal life. This study uses descriptive statistics and regression analysis in order to identify which information processes are accessed by employees to reach their personal and professional goals when using mobile phones at work, using a sample of 368 professionals from different fields in Romania. The results of the study show that messaging applications (e-mail, sms, Messenger, Whatsapp, etc.) and searches for information on the Internet are the biggest time consumers for personal purposes, while telephone conversations (voice only) and searches for useful information on the Internet are the biggest consumers of working time for professional purposes. Based on the opinions of employees, we found that the most important effect of mobile phone use at work for personal purposes lies in the fact that it helps employees be more productive through a better work–life balance. The mobile phone was originally designed as a personal device, but today, since employers are allowing or requiring its use, during work, it is also used for professional purposes.
... Information is especially useful for developing and sustaining a company's competitiveness in terms of its products and services on the market [4][5][6]. It is achieved by organizational control of information processes that involve information processing such as the acquisition, recording, organization, retrieval, display, or dissemination of information. ...
Employees use mobile phones for several information processes at work, either in relation to their work or their personal life. This study uses descriptive statistics and regression analysis in order to identify which information processes are accessed by employees to reach their personal and professional goals when using mobile phones at work, using a sample of 368 professionals from different fields in Romania. The results of the study show that messaging applications (e‐mail, sms, Messenger, Whatsapp, etc.) and searches for information on the Internet are the biggest time consumers for personal purposes, while telephone conversations (voice only) and searches for useful information on the Internet are the biggest consumers of working time for professional purposes. Based on the opinions of employees, we found that the most important effect of mobile phone use at work for personal purposes lies in the fact that it helps employees be more productive through a better work–life balance. The mobile phone was originally designed as a personal device, but today, since employers are allowing or requiring its use, during work, it is also used for professional purposes.
هدف الدراسة: تهدف الدراسة إلى تعرّف أثر حوكمة البيانات في الأداء المؤسسي عبر الذكاء الاصطناعي القابل للتفسير بوصفه متغيراً وسيطاً.تصميم/ منهجية/ طريقة الدراسة: تنتمي هذه الدراسة إلى الدراسات الوصفية التحليلية؛ إذ تساعد في تحليل الظاهرة محل الدراسة من خلال الحصول على معلومات عنها، ووصف متغيراتها، وتحديد العلاقة بين هذه المتغيرات.عينة الدراسة وبياناتها: اعتمدت هذه الدراسة على منهج المسح الاجتماعي بطريقة العينة لآراء عينة عشوائية، قوامها 384 من المديرين التنفيذيين لتقنية المعلومات الملمين بتقنيات الذكاء الاصطناعي، وجمعت البيانات باستخدام أداة الاستبانة.نتائج الدراسة: توصلت الدراسة إلى استنتاجات عدة، أهمها أن الممارسات المتعلقة بمتغيرات الدراسة الثلاثة متوافرة بدرجة مرتفعة في المنظمات، ووجود اختلاف معنوي في تقديرات الخبراء نحو درجة ممارسة منظماتهم للذكاء الاصطناعي القابل للتفسير وفقاً لاختلاف عدد سنوات الخبرة، وأن الذكاء الاصطناعي القابل للتفسير يلعبدور الوساطة الجزئية المكملة في علاقة حوكمة البيانات بالأداء المؤسسي؛ إذ بلغ التأثير غير المباشر من خلال الذكاء الاصطناعي القابل للتفسير بوصفه متغيراً وسيطاً (0.144) والتأثير المباشر لحوكمة البيانات على الأداء المؤسسي (0.452)؛ مما يعني أن التأثير الكلي قدره (0.596).أصالة الدراسة: لم يتم قياس تأثير الذكاء الاصطناعي القابل للتفسير متغيراً وسيطاً بين المتغير المستقل (حوكمة البيانات) والمتغير التابع (الأداء المؤسسي) في الدراسات العربية والإنجليزية السابقة، على قدر علمنا.حدود الدراسة وتطبيقاتها: الحدود البشرية: طبقت الدراسة على عدد من المديرين التنفيذيين لتقنية المعلومات الملمين بتقنيات الذكاء الاصطناعي.الحدود الزمنية: أجريت الدراسة خلال فترة زمنية محددة استغرقت ثلاثة أشهر.الحدود الموضوعية: اقتصرت الدراسة على ثلاثة متغيرات، هي: حوكمة البيانات، والذكاء الاصطناعي القابل للتفسير، والأداء المؤسسي.
The objective of a good data governance framework has to be in line with the corporate governance objectives of maintaining and strengthening a corporation’s contribution to market integrity and economic performance. Researchers including Klai (2011) and Rahman (2018) have identified the influence of the quality of financial data or information reporting on corporate governance, in developing economies. Most telecommunication companies view data governance as a promising means to ensure the quality of data and maintain its value as a corporate asset (Otto, 2011). In addition to being governed by accountability, data as a corporate asset (Perna, 1995) has to be protected by procedures and policy to create an internal control environment. With growing volumes and implications of big data, data governance mechanisms improve the value protection of business attained through data-driven capabilities. Formalization of management through data governance can increase transparency, accountability, responsibility, independence, and fairness in implementing corporate governance. Moreover, the paper further provides a brief literature review on the influence of data governance on corporate governance to be a positive influence.
