Explore the vast range of titles available.

[Purpose / Significance] As the basis of improving data value, data governance is a research hotspot in the data age. The systematic review of the current research into data governance will help to promote the theoretical research and the practice of electronic information resource management. [Method / Process] Using the methods of literature analysis, the paper systematically analyzes the research progress of data governance from six dimensions: the goal, the subject, the object, the content, process and means of data governance. [Results / Conclusions] Among the core elements of data governance, researchers have the consistent understanding of the goal, the subject and the means of data governance, while their understanding of the key points of the content of data governance needs to be further unified. The research into the object of data governance needs to be specified. In the future research into data governance, researchers should further distinguish between data management and data governance, clarify the positioning of data governance, and place an emphasis on the focus and core content of data governance.

Reliable water governance will ensure the strength and sustainability of an institution. The rising needs for water warrant a thorough study of critical variables of water governance. These variables are crucial for the development of a sound institutional framework. However, there were still insufficient studies that systematically review the existing literature in this field. Hence, the current study aims to examine the key components of the institutional framework for water governance. This study was guided by PRISMA 2020 in its systematic searching strategy on three databases, namely Web of Science, Scopus, and ScienceDirect. Articles for the period of 2018–2022 were screened. The process resulted in the selection of 20 related studies which were then assessed using the Mixed-Method Appraisal Tool (MMAT). Thematic analysis was employed and three themes were identified, namely stakeholders engagement, policy and practices, and water resource management. Based on the pattern of previous studies, the study offered significant contributions to practical purposes and the body of knowledge.

Developing a green and smart port is a significant progress in the specific application of energy conservation and emission reduction as well as intelligent technologies in global ports and maritime shipping sectors. The paper aims to analyze the inherent relationships among different structural factors and proposes specific countermeasures and governance policies for green and smart port construction. It uses interpretive structural modeling analysis to divide the factors into different levels, and draws a model map of green and smart port construction structure. The research result contributes to providing a theoretical basis for governments to formulate a green and smart port policies and establishing effective method systems and technical means for the port industry and stakeholders to leverage intelligent port technologies for the port development.

PurposeThe purpose of this study is to create a framework to analyze approaches for coordination, adaptation and safeguarding of exchanges in interorganizational project networks.Design/methodology/approachAn analysis framework to analyze governance in project networks was created based on a systematic review of existing literature. The framework was applied to analyze governance approaches used in a large infrastructure project implemented with an alliance project delivery method to illustrate the practical validity of the framework.FindingsThe analysis framework categorized governance in project networks in six dimensions: goal setting, rewarding, monitoring, roles and decision-making, coordination and capability building. A set of questions for each governance dimension was created and the analysis framework was applied in the context of a project alliance.Research limitations/implicationsThe focus of this research is on governance internal to a project network. The authors identified dimensions of governance in project networks and related governance approaches based on a systematic literature review. The practical applicability of the framework was validated in a single case study setting.Practical implicationsThe paper introduces a concept of governance in project networks, which takes the perspective that all actors that have an influence on project implementation are part of an interorganizational project network. The focal organization may have had a significant role in the design of governance, but governance also emerged from the network structure of companies and the interactions among them. The analysis framework created in this research can be used to design and analyze governance in different type of project context.Originality/valueThe paper introduces a concept of governance in project networks, which takes the perspective that all actors that have an influence on project implementation are part of an interorganizational project network.

Whistleblowing functions as an essential mechanism for accountability and transparency within the banking industry; nevertheless, its efficacy differs across institutional and cultural environments. This study investigates the impact of organisational culture, regulatory pressure, and procedural fairness on whistleblowing effectiveness within Qatar’s dual banking system, which includes both Islamic and conventional banks. Using institutional theory and Islamic ethical reasoning, data were gathered via a survey of 271 banking employees and analysed via hierarchical regression models. The findings indicate that organisational culture is the primary predictor of whistleblowing. Unexpectedly, bank institutional type (Islamic vs. conventional) does not significantly influence whistleblowing effectiveness, suggesting that formal bank classification alone does not account for variation in perceived effectiveness within this sample. The results indicate that the efficacy of whistleblowing is contingent on the interplay between formal regulatory frameworks and informal cultural norms, rather than solely on religious identification. This study enhances the literature on institutional and ethics-based governance by including faith-based values in the empirical analysis and provides practical recommendations for fortifying integrity systems in developing financial contexts.

Megacities in the Yangtze River Economic Belt (YREB) are facing severe challenges and unbalanced development. Combating megacity syndrome is crucial for achieving modernization. This study developed a Development-Autonomy-Inclusiveness governance framework to characterize megacity governance capacity modernization (MGCM). The integrated model is employed to evaluate the MGCM for nine megacities along the YREB in China from 2013 to 2022. The key determinants are identified by Geo-detector. The configuration pathways and synergistic mechanisms for high MGCM are depicted using fsQCA. The empirical study indicates that: (1) The MGCM is at a low level but displays a slight upward trend, with development capacity > autonomy capacity > inclusiveness capacity. The MGCMs of three urban agglomerations manifest as being development-driven, autonomy-constrained, and autonomy-promoted. (2) The synergistic interaction among determinants is greater than any single factor. (3) Megacities exhibited distinct pathways to achieve high MGCM: tri-capacity synergy pattern in the Yangtze River Delta, development dominant pattern in Chengdu-Chongqing, autonomy weakness pattern in the Mid-Yangtze River, and adversity survival pattern during extraordinary periods. A novel theoretical framework and practical examples are proposed for boosting the modernization of governance capacity in China’s megacities, offering valuable insights for advancing the governance modernization of megacities worldwide.

Cybersecurity protects cyberspace from a wide range of cyber threats to reduce overall business risk, ensure business continuity, and maximize business opportunities and return on investments. Cybersecurity is well achieved by using appropriate sets of security governance frameworks. To this end, various Information Technology (IT) and cybersecurity governance frameworks have been reviewed along with their benefits and limitations. The major limitations of the reviewed frameworks are; they are complex and have complicated structures to implement, they are expensive and require high skill IT and security professionals. Moreover, the frameworks require many requirement checklists for implementation and auditing purposes and a lot of time and resources. To fill the limitations mentioned above, a simple, dynamic, and adaptive cybersecurity governance framework is proposed that provides security related strategic direction, ensures that security risks are managed appropriately, and ensures that organizations’ resources are utilized optimally. The framework incorporated different components not considered in the existing frameworks, such as research and development, public-private collaboration framework, regional and international cooperation framework, incident management, business continuity, disaster recovery frameworks, and compliance with laws and regulations. Moreover, the proposed framework identifies and includes some of the existing frameworks’ missed and overlapped components, processes, and activities. It has nine components, five activities, four outcomes, and seven processes. Performance metrics, evaluation, and monitoring techniques are also proposed. Moreover, it follows a risk based approach to address the current and future technology and threat landscapes. The design science research method was used in this research study to solve the problem mentioned. Using the design science research method, the problem was identified. Based on the problem, research objectives were articulated; the objective of this research was solved by developing a security governance framework considering different factors which were not addressed in the current works. Finally, performance metrics were proposed to evaluate the implementation of the governance framework.

PurposeThe present paper constructed a new framework for government data governance based on the concept of a data middle platform to elicit the detailed requirements and functionalities of a government data governance framework.Design/methodology/approachFollowing a three-cycle activity, the design science research (DSR) paradigm was used to develop design propositions. The design propositions are obtained based on a systematic literature review of government data governance and data governance frameworks. Cases and experts further assessed the effectiveness of the implementation of the artifacts.FindingsThe study developed an effective framework for government data governance that supported the digital service needs of the government. The results demonstrated the advantages of the framework in adapting to organizational operations and data, realized the value of data assets, improved data auditing and oversight and facilitated communication. From the collection of data to the output of government services, the framework adapted to the new characteristics of digital government.Originality/valueKnowledge of the “data middle platforms” generated in this study provides new knowledge to the design of government data governance frameworks and helps translate design propositions into concrete capabilities. By reviewing earlier literature, the article identified the core needs and challenges of government data governance to help practitioners approach government data governance in a structured manner.

In the nursing home sector, reusing routinely recorded data from electronic health records (EHRs) for knowledge development and quality improvement is still in its infancy. Trust in appropriate and responsible reuse is crucial for patients and nursing homes deciding whether to share EHR data for these purposes. A data governance framework determines who may access the data, under what conditions, and for what purposes. This can help obtain that trust. Although increasing attention is being paid to data governance in the health care sector, little guidance is available on development and implementation of a data governance framework in practice. This study aims to describe the development process of a governance framework for the \"Registry Learning from Data in Nursing Homes,\" a national registry for EHR data on care delivered by nursing home physicians (in Dutch: specialist ouderengeneeskunde) in Dutch nursing homes-to allow data reusage for research and quality improvement of care. Relevant stakeholders representing practices, policies, and research in the nursing home sector were identified. Semistructured interviews were conducted with 20 people from 14 stakeholder organizations. The main aim of the interviews was to explore stakeholders' perspectives regarding the Registry's aim, data access criteria, and governing bodies' tasks and composition. Interview topics and analyses were guided by 8 principles regarding governance for reusing health data, as described in the literature. Interview results, together with legal advice and consensus discussions by the Registry's consortium partners, were used to shape the rules, regulations, and governing bodies of the governance framework. Stakeholders valued the involvement of nursing home residents and their representatives, nursing home physicians, nursing homes' boards of directors, and scientists and saw this as a prerequisite for a trustworthy data governance framework. For the Registry, involvement of these groups can be achieved through a procedure in which residents can provide their consent or objection to the reuse of the data, transparency about the decisions made, and providing them a position in a governing body. In addition, a data request approval procedure based on predefined assessment criteria indicates that data reuse by third parties aligns with the aims of the Registry, benefits the nursing home sector, and protects the privacy of data subjects. The stakeholders' views, expertise, and knowledge of other frameworks and relevant legislation serve to inform the application of governance principles to the contexts of both the nursing home sector and the Netherlands. Many different stakeholders were involved in the development of the Registry Learning from Data in Nursing Homes' governance framework and will continue to be involved. Engagement of the full range of stakeholders in an early stage of governance framework development is important to generate trust in appropriate and responsible data reuse.

This article reviews Germany's corporate governance system and the effectiveness of recent reforms. Since the early 1990s far-reaching reforms have complemented the traditional stakeholder system with important elements of the shareholder system. Instead of taking a view on the superiority of either system, this article raises the important question whether these reforms created sufficient flexibility for the market to optimize its corporate governance structure within well established social and legal norms. It concludes that there is scope for enhancing flexibility in three core areas, relating to (i) internal control mechanisms, especially the flexibility of board structures; (ii) self-dealing; and (iii) external control, particularly take-over activity.