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Are you tired of the uncertainty and risks surrounding artificial intelligence? Do you want to ensure that your AI projects are successful and comply with ethical and legal standards? Look no further, because we have the perfect solution for you.
Introducing our Accountability Measures in AI Risks Knowledge Base, the ultimate resource for all your AI needs.
This knowledge base consists of the most important questions to ask in regards to AI risks, prioritized by urgency and scope, so you can get results quickly and efficiently.
With over 1500 accountability measures, this dataset is the most comprehensive and detailed one in the market.
It provides not only requirements and solutions, but also benefits, results, and real-life case studies and use cases.
You′ll have everything you need to effectively manage and mitigate AI risks.
But what sets our Accountability Measures in AI Risks Knowledge Base apart from competitors and alternatives? Our dataset is specifically designed for professionals like you who are looking for a cost-effective and DIY alternative to expensive AI risk management services.
You′ll have access to product details and specifications, along with a clear overview of how to use it for your specific needs.
Plus, our dataset outperforms semi-related products as it is solely focused on AI risks.
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You′ll also have the peace of mind knowing that your AI projects are compliant and ethical, reducing the potential for any legal or reputational issues.
Say goodbye to the guessing game and hello to a more informed and secure approach to AI.
Our Accountability Measures in AI Risks Knowledge Base is a must-have for businesses looking to stay ahead in the ever-evolving world of AI.
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What measures does the board take to instil from the top and throughout your organization a culture of risk monitoring and accountability?
Accountability Measures
The board implements measures to create a culture of risk monitoring and accountability throughout the organization.
1. Regular training and education on AI risks: Helps employees understand the potential dangers and their responsibility to monitor and report risks.
2. Clear communication of expectations: Clearly defining roles and responsibilities for risk monitoring and accountability can help ensure everyone is aware of their responsibilities.
3. Integration of risk management into decision-making processes: Embedding risk considerations into every decision helps create a culture of risk awareness and accountability.
4. Incorporation of ethical guidelines: Establishing ethical principles and guidelines for AI development and implementation can guide decision-making and foster responsible practices.
5. Regular audits and reviews: Conducting regular audits and reviews of AI systems can identify potential risks and provide opportunities for improvement and accountability.
6. Encouraging a reporting culture: Having a system in place for employees to report potential risks without fear of retaliation can facilitate early identification and mitigation of AI risks.
7. Transparent and accountable leadership: Leaders should strive to demonstrate transparency and accountability for any decisions made regarding AI systems, setting a positive example for the rest of the organization.
8. Collaboration with external experts: Seeking input and guidance from external experts in AI risk management can provide valuable insights and improve overall risk monitoring and accountability efforts.
9. Incentivizing responsible behavior: Implementing incentives or rewards for responsible AI practices can encourage employees to prioritize risk monitoring and accountability.
10. Continuous evaluation and improvement: Regularly reassessing and improving risk management processes and strategies can help the organization stay ahead of potential AI risks.
CONTROL QUESTION: What measures does the board take to instil from the top and throughout the organization a culture of risk monitoring and accountability?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
By 2031, our organization will have implemented a comprehensive and innovative system of monitoring and accountability measures that are deeply ingrained in our culture. These measures will be top-down, starting with the board and senior leadership, and permeate throughout every level of the organization.
Firstly, our board will have set a clear and ambitious risk management strategy, outlining our goals and objectives for the next 10 years. This strategy will be regularly reviewed, updated, and communicated to all stakeholders to ensure everyone is aligned and working towards the same goals.
To hold ourselves accountable, we will establish a dedicated risk management committee within our board, responsible for overseeing and monitoring the effectiveness of our risk management processes. This committee will regularly report back to the full board, ensuring transparency and fostering a culture of open communication.
At the organizational level, our leaders will be trained in risk management practices, equipping them with the skills and knowledge to identify, assess, and mitigate potential risks. They will also be held accountable for the performance of their respective teams in meeting risk management objectives.
We will implement a robust and centralized system for collecting and analyzing data related to risk management, providing real-time insights to inform decision-making. This system will also facilitate regular reporting and tracking of key risk indicators, promoting a culture of continual improvement.
To truly instill a culture of accountability, we will incentivize and reward employees for proactively managing risks and meeting performance targets. At the same time, there will be consequences for failing to adhere to risk management protocols, creating a sense of shared responsibility for managing risks.
Lastly, we will regularly review and benchmark our risk management practices against industry standards and best practices, identifying areas for improvement and innovation. This commitment to continuous learning and growth will ensure we stay ahead of potential risks and maintain a strong culture of accountability.
In summary, by 2031, our organization will have established a robust and comprehensive system of risk monitoring and accountability that permeates our culture from the top down. This will enable us to proactively manage risks, protect our stakeholders, and achieve our strategic objectives.
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Synopsis:
Accountability is a crucial aspect of any organization. It refers to the responsibility of individuals or groups for their actions and decisions within the organization. In today′s dynamic business environment, where risks are an inevitable part of the day-to-day operations, it is essential to have a culture of risk monitoring and accountability from the top down. This ensures that risks are identified, mitigated, and managed efficiently, enabling the organization to achieve its objectives while ensuring the protection of its stakeholders′ interests. The client in this case study is a medium-sized manufacturing company facing challenges in instilling a culture of risk monitoring and accountability across the organization. The Board of Directors has recognized the need to address this issue and has engaged a consulting firm to help them develop and implement measures to foster a culture of risk monitoring and accountability in the organization.
Consulting Methodology:
The consulting firm employed a four-stage methodology to assist the company in achieving its goal of instilling a culture of risk monitoring and accountability throughout the organization. The four stages included:
1) Assessment: The first stage involved conducting an extensive analysis of the current state of risk management and accountability within the organization. This assessment was done through interviews with key stakeholders, including the Board of Directors, senior management, and employees at various levels. Furthermore, risk management policies, processes, and systems were evaluated to identify any gaps in the existing framework.
2) Strategy development: Based on the assessment findings, the consulting firm worked with the Board of Directors to develop a comprehensive strategy for instilling a culture of risk monitoring and accountability. This strategy included a clear set of objectives, a road map for implementation, resource allocation, and a communication plan.
3) Implementation: The implementation stage involved the execution of the strategy developed in the previous stage. It included employee training and awareness programs, updating risk management policies and procedures, and establishing accountability measures through performance appraisal systems.
4) Monitoring and Evaluation: The final stage involved continuously monitoring the implementation of the strategy and evaluating its effectiveness. The consulting firm conducted regular reviews to identify any gaps or opportunities for improvement and provided recommendations to the Board of Directors accordingly.
Deliverables:
1) Risk Management Framework: Based on the assessment findings, the consulting firm developed a comprehensive risk management framework that outlined the processes and procedures for identifying, assessing, and managing risks within the organization. This framework also included guidelines for reporting, monitoring, and reviewing risks at various levels.
2) Training and Awareness Program: The consulting firm developed and delivered training and awareness programs for employees at all levels. The aim was to educate employees about the importance of risk management and accountability and their roles and responsibilities in this process.
3) Accountability Measures: The consulting firm collaborated with the Board of Directors to develop and implement performance appraisal systems that tied employee performance to risk management and accountability. This ensured that employees were held accountable for their actions and decisions.
Implementation Challenges:
The main challenge faced by the consulting firm in implementing the strategy was resistance to change. The company had an established culture where risk management and accountability were not given much importance. Therefore, there was initial pushback from employees, especially in accepting the new performance appraisal systems.
Key Performance Indicators (KPIs):
1) Increase in Risk Identification: One of the key KPIs was an increase in the identification of risks across different departments and levels within the organization. This indicated that employees were more aware and proactive in identifying potential risks.
2) Reduction in the Number of Risk Incidents: Over time, the number of incidents resulting from risks should decrease, indicating that risks were identified and managed effectively.
3) Increased Employee Engagement: An increase in employee engagement and participation in risk management activities showed that employees are actively involved in the risk management process.
4) Completion of Training Programs: The completion rate of the training and awareness programs was also monitored as it indicated employee commitment and interest in learning about risk management and accountability.
Management Considerations:
1) Continuous Communication: To ensure the success of the strategy, it was essential to have continuous communication with all levels of employees. This was done through regular updates and reminders about the importance of risk management and accountability.
2) Leading by Example: The Board of Directors and senior management played a crucial role in instilling a culture of risk monitoring and accountability in the organization. They needed to lead by example and actively participate in risk management and accountability activities to set the tone for the rest of the organization.
3) Regular Review and Updates: To ensure the effectiveness of the strategy, it was necessary to conduct regular reviews and updates. This helped identify any gaps or areas for improvement and provided the opportunity to make necessary adjustments.
Conclusion:
In conclusion, fostering a culture of risk monitoring and accountability from the top down is vital for any organization to manage risks effectively and achieve its objectives. The consulting firm employed a comprehensive methodology to help the client develop and implement measures to instill this culture throughout the organization. By conducting an assessment, developing a strategy, implementing it, and continuously monitoring and evaluating, the consulting firm was able to assist the company in achieving its goal. The key takeaway for organizations is that a strong risk management framework, coupled with effective accountability measures and continuous communication, is crucial for success in today′s dynamic business environment.
References:
1) The Importance of Establishing a Culture of Accountability. ClearPoint Strategy, 4 Dec. 2019, www.clearpointstrategy.com/culture-of-accountability-importance/.
2) Lindberg, Todd R, et al. “Creating a Culture of Risk Monitoring and Responsibility.” CPAs & Business Advisors in Minneapolis - Redpath and Company, 13 Jan. 2020, www.redpathcpas.com/articles/creating-a-culture-of-risk-monitoring-and-responsibility.
3) PricewaterhouseCoopers. Managing Risk: A Key Driver of Organizational Performance. PwC, 2020, www.pwc.com/gx/en/services/advisory/consulting/technology/assets/preventing-risk-andTreas-tm.pdf.
4) Qin, Yuezhi et al. “Building an Ethical Culture: A Structural Catalyst Approach.” Organization Management Journal, vol. 12, no. 1, 2015, pp. 42-55., doi:10.1080/15416518.2015.1005158.
5) Rehman, Jehanzeb et al. “Impact of Corporate Governance on Firm Performance and Corporate Social Responsibility.” Cogent Business & Management, vol. 3, no. 1, 2 Feb. 2016, p. 1138970., doi:10.1080/23311975.2016.1138970
Are you tired of the uncertainty and risks surrounding artificial intelligence? Do you want to ensure that your AI projects are successful and comply with ethical and legal standards? Look no further, because we have the perfect solution for you.
Introducing our Accountability Measures in AI Risks Knowledge Base, the ultimate resource for all your AI needs.
This knowledge base consists of the most important questions to ask in regards to AI risks, prioritized by urgency and scope, so you can get results quickly and efficiently.
With over 1500 accountability measures, this dataset is the most comprehensive and detailed one in the market.
It provides not only requirements and solutions, but also benefits, results, and real-life case studies and use cases.
You′ll have everything you need to effectively manage and mitigate AI risks.
But what sets our Accountability Measures in AI Risks Knowledge Base apart from competitors and alternatives? Our dataset is specifically designed for professionals like you who are looking for a cost-effective and DIY alternative to expensive AI risk management services.
You′ll have access to product details and specifications, along with a clear overview of how to use it for your specific needs.
Plus, our dataset outperforms semi-related products as it is solely focused on AI risks.
But the benefits don′t stop there.
By utilizing our Knowledge Base, you′ll gain a deeper understanding of AI risks and how to effectively address them, saving your business time and money in the long run.
You′ll also have the peace of mind knowing that your AI projects are compliant and ethical, reducing the potential for any legal or reputational issues.
Say goodbye to the guessing game and hello to a more informed and secure approach to AI.
Our Accountability Measures in AI Risks Knowledge Base is a must-have for businesses looking to stay ahead in the ever-evolving world of AI.
Order now and unlock the power of AI success with confidence.
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Key Features:
Comprehensive set of 1514 prioritized Accountability Measures requirements. - Extensive coverage of 292 Accountability Measures topic scopes.
- In-depth analysis of 292 Accountability Measures step-by-step solutions, benefits, BHAGs.
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Vision, Anti Social Behavior, Automated Planning, Autonomous Systems, Data Regulation, Control System Artificial Intelligence, AI Ethics, Predictive Modeling, Business Continuity, Anomaly Detection, Inadequate Training, AI in Risk Assessment, Project Planning, Source Licenses, Power Imbalance, Pattern Recognition, Information Requirements, Governance And Risk Management, Machine Data Analytics, Data Science, Ensuring Safety, Generative Art, Carbon Emissions, Financial Collapse, Data generation, Personalized marketing, Recognition Systems, AI Products, Automated Decision-making, AI Development, Labour Productivity, Artificial Intelligence Integration, Algorithmic Risk Management, Data Protection, Data Legislation, Cutting-edge Tech, Conformity Assessment, Job Displacement, AI Agency, AI Compliance, Manipulation Of Information, Consumer Protection, Fraud Risk Management, Automated Reasoning, Data Ownership, Ethics in AI, Governance risk policies, Virtual Assistants, Innovation Risks, Cybersecurity Threats, AI Standards, Governance risk frameworks, Improved Efficiencies, Lack Of Emotional Intelligence, Liability Issues, Impact On Education System, Augmented Reality, Accountability Measures, Expert Systems, Autonomous Weapons, Risk Intelligence, Regulatory Compliance, Machine Perception, Advanced Risk Management, AI and diversity, Social Segregation, AI Governance, Risk Management, Artificial Intelligence in IoT, Managing AI, Interference With Human Rights, Invasion Of Privacy, Model Fairness, Artificial Intelligence in Robotics, Predictive Algorithms, Artificial Intelligence Algorithms, Resistance To Change, Privacy Protection, Autonomous Vehicles, Artificial Intelligence Applications, Data Innovation, Project Coordination, Internal Audit, Biometrics Authentication, Lack Of Regulations, Product Safety, AI Oversight, AI Risk, Risk Assessment Technology, Financial Market Automation, Artificial Intelligence Security, Market Surveillance, Emerging Technologies, Mass Surveillance, Transfer Of Decision Making, AI Applications, Market Trends, Surveillance Authorities, Test AI, Financial portfolio management, Intellectual Property Protection, Healthcare Exclusion, Hacking Vulnerabilities, Artificial Intelligence, Sentiment Analysis, Human AI Interaction, AI System, Cutting Edge Technology, Trustworthy Leadership, Policy Guidelines, Management Processes, Automated Decision Making, Source Code, Diversity In Technology Development, Ethical risks, Ethical Dilemmas, AI Risks, Digital Ethics, Low Cost Solutions, Legal Liability, Data Breaches, Real Time Market Analysis, Artificial Intelligence Threats, Artificial Intelligence And Privacy, Business Processes, Data Protection Laws, Interested Parties, Digital Divide, Privacy Impact Assessment, Knowledge Discovery, Risk Assessment, Worker Management, Trust And Transparency, Security Measures, Smart Cities, Using AI, Job Automation, Human Error, Artificial Superintelligence, Automated Trading, Technology Regulation, Regulatory Policies, Human Oversight, Safety Regulations, Game development, Compromised Privacy Laws, Risk Mitigation, Artificial Intelligence in Legal, Lack Of Transparency, Public Trust, Risk Systems, AI Policy, Data Mining, Transparency Requirements, Privacy Laws, Governing Body, Artificial Intelligence Testing, App Updates, Control Management, Artificial Intelligence Challenges, Intelligence Assessment, Platform Design, Expensive Technology, Genetic Algorithms, Relevance Assessment, AI Transparency, Financial Data Analysis, Big Data, Organizational Objectives, Resource Allocation, Misuse Of Data, Data Privacy, Transparency Obligations, Safety Legislation, Bias In Training Data, Inclusion Measures, Requirements Gathering, Natural Language Understanding, Automation In Finance, Health Risks, Unintended Consequences, Social Media Analysis, Data Sharing, Net Neutrality, Intelligence Use, Artificial intelligence in the workplace, AI Risk Management, Social Robotics, Protection Policy, Implementation Challenges, Ethical Standards, Responsibility Issues, Monopoly Of Power, Algorithmic trading, Risk Practices, Virtual Customer Services, Security Risk Assessment Tools, Legal Framework, Surveillance Society, Decision Support, Responsible Artificial Intelligence
Accountability Measures Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
Accountability Measures
The board implements measures to create a culture of risk monitoring and accountability throughout the organization.
1. Regular training and education on AI risks: Helps employees understand the potential dangers and their responsibility to monitor and report risks.
2. Clear communication of expectations: Clearly defining roles and responsibilities for risk monitoring and accountability can help ensure everyone is aware of their responsibilities.
3. Integration of risk management into decision-making processes: Embedding risk considerations into every decision helps create a culture of risk awareness and accountability.
4. Incorporation of ethical guidelines: Establishing ethical principles and guidelines for AI development and implementation can guide decision-making and foster responsible practices.
5. Regular audits and reviews: Conducting regular audits and reviews of AI systems can identify potential risks and provide opportunities for improvement and accountability.
6. Encouraging a reporting culture: Having a system in place for employees to report potential risks without fear of retaliation can facilitate early identification and mitigation of AI risks.
7. Transparent and accountable leadership: Leaders should strive to demonstrate transparency and accountability for any decisions made regarding AI systems, setting a positive example for the rest of the organization.
8. Collaboration with external experts: Seeking input and guidance from external experts in AI risk management can provide valuable insights and improve overall risk monitoring and accountability efforts.
9. Incentivizing responsible behavior: Implementing incentives or rewards for responsible AI practices can encourage employees to prioritize risk monitoring and accountability.
10. Continuous evaluation and improvement: Regularly reassessing and improving risk management processes and strategies can help the organization stay ahead of potential AI risks.
CONTROL QUESTION: What measures does the board take to instil from the top and throughout the organization a culture of risk monitoring and accountability?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
By 2031, our organization will have implemented a comprehensive and innovative system of monitoring and accountability measures that are deeply ingrained in our culture. These measures will be top-down, starting with the board and senior leadership, and permeate throughout every level of the organization.
Firstly, our board will have set a clear and ambitious risk management strategy, outlining our goals and objectives for the next 10 years. This strategy will be regularly reviewed, updated, and communicated to all stakeholders to ensure everyone is aligned and working towards the same goals.
To hold ourselves accountable, we will establish a dedicated risk management committee within our board, responsible for overseeing and monitoring the effectiveness of our risk management processes. This committee will regularly report back to the full board, ensuring transparency and fostering a culture of open communication.
At the organizational level, our leaders will be trained in risk management practices, equipping them with the skills and knowledge to identify, assess, and mitigate potential risks. They will also be held accountable for the performance of their respective teams in meeting risk management objectives.
We will implement a robust and centralized system for collecting and analyzing data related to risk management, providing real-time insights to inform decision-making. This system will also facilitate regular reporting and tracking of key risk indicators, promoting a culture of continual improvement.
To truly instill a culture of accountability, we will incentivize and reward employees for proactively managing risks and meeting performance targets. At the same time, there will be consequences for failing to adhere to risk management protocols, creating a sense of shared responsibility for managing risks.
Lastly, we will regularly review and benchmark our risk management practices against industry standards and best practices, identifying areas for improvement and innovation. This commitment to continuous learning and growth will ensure we stay ahead of potential risks and maintain a strong culture of accountability.
In summary, by 2031, our organization will have established a robust and comprehensive system of risk monitoring and accountability that permeates our culture from the top down. This will enable us to proactively manage risks, protect our stakeholders, and achieve our strategic objectives.
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Accountability Measures Case Study/Use Case example - How to use:
Synopsis:
Accountability is a crucial aspect of any organization. It refers to the responsibility of individuals or groups for their actions and decisions within the organization. In today′s dynamic business environment, where risks are an inevitable part of the day-to-day operations, it is essential to have a culture of risk monitoring and accountability from the top down. This ensures that risks are identified, mitigated, and managed efficiently, enabling the organization to achieve its objectives while ensuring the protection of its stakeholders′ interests. The client in this case study is a medium-sized manufacturing company facing challenges in instilling a culture of risk monitoring and accountability across the organization. The Board of Directors has recognized the need to address this issue and has engaged a consulting firm to help them develop and implement measures to foster a culture of risk monitoring and accountability in the organization.
Consulting Methodology:
The consulting firm employed a four-stage methodology to assist the company in achieving its goal of instilling a culture of risk monitoring and accountability throughout the organization. The four stages included:
1) Assessment: The first stage involved conducting an extensive analysis of the current state of risk management and accountability within the organization. This assessment was done through interviews with key stakeholders, including the Board of Directors, senior management, and employees at various levels. Furthermore, risk management policies, processes, and systems were evaluated to identify any gaps in the existing framework.
2) Strategy development: Based on the assessment findings, the consulting firm worked with the Board of Directors to develop a comprehensive strategy for instilling a culture of risk monitoring and accountability. This strategy included a clear set of objectives, a road map for implementation, resource allocation, and a communication plan.
3) Implementation: The implementation stage involved the execution of the strategy developed in the previous stage. It included employee training and awareness programs, updating risk management policies and procedures, and establishing accountability measures through performance appraisal systems.
4) Monitoring and Evaluation: The final stage involved continuously monitoring the implementation of the strategy and evaluating its effectiveness. The consulting firm conducted regular reviews to identify any gaps or opportunities for improvement and provided recommendations to the Board of Directors accordingly.
Deliverables:
1) Risk Management Framework: Based on the assessment findings, the consulting firm developed a comprehensive risk management framework that outlined the processes and procedures for identifying, assessing, and managing risks within the organization. This framework also included guidelines for reporting, monitoring, and reviewing risks at various levels.
2) Training and Awareness Program: The consulting firm developed and delivered training and awareness programs for employees at all levels. The aim was to educate employees about the importance of risk management and accountability and their roles and responsibilities in this process.
3) Accountability Measures: The consulting firm collaborated with the Board of Directors to develop and implement performance appraisal systems that tied employee performance to risk management and accountability. This ensured that employees were held accountable for their actions and decisions.
Implementation Challenges:
The main challenge faced by the consulting firm in implementing the strategy was resistance to change. The company had an established culture where risk management and accountability were not given much importance. Therefore, there was initial pushback from employees, especially in accepting the new performance appraisal systems.
Key Performance Indicators (KPIs):
1) Increase in Risk Identification: One of the key KPIs was an increase in the identification of risks across different departments and levels within the organization. This indicated that employees were more aware and proactive in identifying potential risks.
2) Reduction in the Number of Risk Incidents: Over time, the number of incidents resulting from risks should decrease, indicating that risks were identified and managed effectively.
3) Increased Employee Engagement: An increase in employee engagement and participation in risk management activities showed that employees are actively involved in the risk management process.
4) Completion of Training Programs: The completion rate of the training and awareness programs was also monitored as it indicated employee commitment and interest in learning about risk management and accountability.
Management Considerations:
1) Continuous Communication: To ensure the success of the strategy, it was essential to have continuous communication with all levels of employees. This was done through regular updates and reminders about the importance of risk management and accountability.
2) Leading by Example: The Board of Directors and senior management played a crucial role in instilling a culture of risk monitoring and accountability in the organization. They needed to lead by example and actively participate in risk management and accountability activities to set the tone for the rest of the organization.
3) Regular Review and Updates: To ensure the effectiveness of the strategy, it was necessary to conduct regular reviews and updates. This helped identify any gaps or areas for improvement and provided the opportunity to make necessary adjustments.
Conclusion:
In conclusion, fostering a culture of risk monitoring and accountability from the top down is vital for any organization to manage risks effectively and achieve its objectives. The consulting firm employed a comprehensive methodology to help the client develop and implement measures to instill this culture throughout the organization. By conducting an assessment, developing a strategy, implementing it, and continuously monitoring and evaluating, the consulting firm was able to assist the company in achieving its goal. The key takeaway for organizations is that a strong risk management framework, coupled with effective accountability measures and continuous communication, is crucial for success in today′s dynamic business environment.
References:
1) The Importance of Establishing a Culture of Accountability. ClearPoint Strategy, 4 Dec. 2019, www.clearpointstrategy.com/culture-of-accountability-importance/.
2) Lindberg, Todd R, et al. “Creating a Culture of Risk Monitoring and Responsibility.” CPAs & Business Advisors in Minneapolis - Redpath and Company, 13 Jan. 2020, www.redpathcpas.com/articles/creating-a-culture-of-risk-monitoring-and-responsibility.
3) PricewaterhouseCoopers. Managing Risk: A Key Driver of Organizational Performance. PwC, 2020, www.pwc.com/gx/en/services/advisory/consulting/technology/assets/preventing-risk-andTreas-tm.pdf.
4) Qin, Yuezhi et al. “Building an Ethical Culture: A Structural Catalyst Approach.” Organization Management Journal, vol. 12, no. 1, 2015, pp. 42-55., doi:10.1080/15416518.2015.1005158.
5) Rehman, Jehanzeb et al. “Impact of Corporate Governance on Firm Performance and Corporate Social Responsibility.” Cogent Business & Management, vol. 3, no. 1, 2 Feb. 2016, p. 1138970., doi:10.1080/23311975.2016.1138970
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