The Global Reporting Initiative (GRI) will introduce new sustainability reporting standards focusing on the mining and textile and apparel industries as part of the GRI Sector Program. The move follows the approval by the Global Sustainability Standards Board (GSSB), the independent body responsible for GRI Standards.
The GRI Sector Standard for Mining covers the impacts of mining organizations on environmental, social, and economic aspects. It is consistent with the Environmental, Social, and Governance (ESG) and disclosure frameworks used in the sector. Judy Kuszewski, Chair of the GSSB, told MINING.com that the standard includes metrics that reflect the information required by stakeholders and emphasizes the duties of mining organizations concerning smaller entities and their involvement in the supply chain. This standard will be published in Q3 2023.
Meanwhile, the GRI Textiles and Apparel Standard aims to guide clothing, footwear, fabrics, and other textile manufacturers and retailers on sustainability reporting by setting global best practices. The GRI identified this sector as another top priority due to its adverse effects on the environment and concerns related to labor and human rights. This standard is set for release in Q1 2025.
The GRI Sector Program will produce standards for 40 sectors, prioritizing those with the highest impact on the environment. The Sector Standards “describe the sustainability context for a sector, outline organizations’ likely material topics based on the sector’s most significant impacts, and list disclosures that are relevant for the sector to report on.” For more information, visit https://www.globalreporting.org/standards/sector-program/
Learn more about sustainability reporting through our cover story featuring Eelco van der Enden, the CEO of the Global Reporting Initiative, on PERFORMANCE Magazine Issue No. 25, 2023 – Sustainability Edition. Download a free digital copy through the TKI Marketplace. Printed copies are also available through Amazon (The price may vary depending on location).
Achieving sustainability is challenging for businesses because it requires significant resources, stakeholder cooperation, and change throughout the supply chain. Justin Jia Kai Goh, the Director of Sustainability Services at Accenture, offers practical measures that organizations can adopt to usher in a sustainable future.
Sustainability involves balancing economic, environmental, and social factors to ensure that the organization’s actions do not harm the planet, people, or future generations. Angela Hultberg, Kearney’s Global Sustainability Director, explains why sustainability must not be considered an afterthought and should be embedded in all organizational decisions.
Editor’s Note: This piece was first published in the 22nd PERFORMANCE Magazine – Printed Edition. The KPI Institute’s Business Research Analyst Aida Manea discusses in this article how AI supports decision-making by eliminating biases and diminishing the number of human errors.
Through a variety of ways, artificial intelligence (AI) can help organizations enable and focus on better decision-making. AI could take over administrative roles and allow humans to prioritize more valuable things that require more time. The intelligent agent can take over manual tasks and enable process automation. AI can also plan decisions or predict results based on historical data.
That holds true even at the departmental level. Freeing managers from worries related to repetitive, administrative, and employee compliance tasks gives them more time for performance management activities. This is reflected in the use of AI as a behavioral assessment tool, data-driven processes where teams are coordinated through feedback, and more opportunities for meaningful human interaction.
AI in Performance Management
According to a study conducted by the University of Twente, there are two ways to implement AI in an organization. On a small scale, AI can assist a manager in improving small parts of the system, like inventory optimization. On a larger scale, AI could play a role in redesigning core processes at the organizational level.
One thing to pay attention to is knowing which type of implementation to choose. In an environment where human interaction and feedback are essential, it would not be the wisest choice to go for the second option as it could affect human connections.
The best-case scenario is to benefit from an assisting AI as it would help the manager make decisions while the assistant processes a vast amount of data. This will not only speed up the decision-making process but also guarantee the data veracity.
AI makes its mark on performance management systems through digitalization. Real-time feedback is important now more than ever due to the changes within performance management. The traditional yearly review is now being replaced by more frequent and informal check-ins as this would enable the shift from talking about people to talking with people. The 360-degree feedback practice focuses on asking colleagues for feedback on an employee’s performance.
Another strong point of AI is that it eliminates the biases toward individuals by assessing patterns and historical data with no opinion that might dilute decisions. While the line managers or HR may have their personal opinions about employees coincide with their responsibilities, AI supports decision-making by eliminating biases and diminishing the number of human errors.
AI for HR
At the HR department, the implementation of an AI system will not only process the data faster but will also deliver robust data collection, frequent fact-based performance, and improvement discussions. HR managers are responsible for their teams’ attitudes and behavior so that they can truly contribute to organizational goals.
In 2018, IBM realized the need for AI in mitigating biases and improving departmental performance. This is why IBM Smarter Workforce Institute wrote the paper “The role of AI in mitigating bias to enhance diversity and inclusion,” in which practical recommendations are offered for organizations that are looking to adopt AI in their HR daily activities.
Efficient and effective recruitment – A recruiter’s main challenges are prioritizing all the roles they are responsible for and finding a way to differentiate among candidates that applied for the same position. Deploying AI determines how long a job requisition will take to fill based on past data so that recruiters can prioritize the roles available.
Moreover, AI can predict future performance by determining the match between a resume and the job requisition and filtering candidates. The challenge in IBM regarding effective recruitment is to help HR managers surface the top candidates for the open positions and prioritize the most important requisitions. Their solution is IBM Watson Recruitment, an AI system that assesses information about the job market and past experiences of potential candidates in order to predict the necessary time to fill in positions and spot the most suitable candidates.
The huge advantage for recruiters is that they can focus on building and nurturing relationships with applicants. At the same time, AI collects the demanded skills from job requisitions and generates a score against skills mentioned in resumes. Finally, IWR watches over the hiring decisions to make sure they are free from bias and turns the candidate and recruiter’s experiences into better ones.
Enhancing motivation – At IBM, the individual needs of employees are essential, and managers get alerts about it. For example, the manager is alerted when there is an employee with years of experience in the company, has skills, and is ready for a promotion. The same applies to the case of employees with a higher propensity to leave or when employees from a specific department are at risk of missing their targets.
Through this alarm signal, managers are able to make decisions over the organization’s talent management approach. Another AI implication is the chatter analysis used to capture the top three internal issues from social media sources. Leaders can receive personalized recommendations to increase the team’s engagement. Other benefits brought by AI can be smarter compensation planning and career development.
The drawbacks of AI systems can be avoided by making sure the data is never used as a sole determinator in decisions.AI initiatives can barely break organizational barriers, based on a survey conducted by Harvard Business Review in which only 8% of firms engage in core practices that support the adoption of Artificial Intelligence. The shift towards AI should start by aligning the organizational culture and the internal operating ways to support digital transformation. Here are the three main actions to scale up AI:
Replace siloed work with cross-functional teams collaboration. The mix of perspectives increases the impact AI has over the processes as it ensures that projects address broad organizational concerns and not just isolated ones. Moreover, if end users are required to test what development teams work on, the chances of adoption increase.
Abandon the top-down approach. Integrating AI into processes will increase the trust of employees in algorithms. They are the ones who will ultimately make a decision based on the algorithm result and their experience. Once they feel empowered to make decisions without having to consult a higher-up, they will get a taste of what AI can offer: freedom of action.
Embrace an agile, experimental, and adaptable mindset. The idea of having an idea baked before it is deployed must be replaced with a test and learn vision. This reduces the fear of failure and allows companies to correct minor mistakes before they become costly ones by receiving early feedback from users.
AI’s ability to promote automated processes, analyze data, predicts trends, and even build frameworks helps the organization in its strategy and business planning. In order to maximize the product and effects of AI, it is essential to establish a strong strategy mindset.
The KPI Institute offers a program that would help you design an organization’s strategy and plan your business using a strategic framework. Enroll now in the Certified Strategy and Business Planning Professional Live Online course! For more details, visit The KPI Institute’s website HERE.
Editor’s Note: This article is written by Justine McGrath, ProACTive Coaching’s owner and EBW System assessment and training facilitator. “How To Engage Your Emotional Intelligence To Adapt To Different Work Environments” is originally published in the 23rd PERFORMANCE Magazine – Printed Edition.
In 2020 the world of work changed forever. Companies with adaptable managers and leaders survived and, in some cases, thrived. Those who didn’t suffered.
In a survey done by the Whitaker Institute at NUI Galway in 2022, a staggering 95% of respondents said working remotely makes life easier. Thirty percent of respondents said they would change job – even if it meant taking a pay cut — if their employers did not take into account their remote working preferences.
It was not all plain sailing for those working from home. It only took a few weeks before we saw the toll it was taking on some, as the lines blurred between work and home. For working parents, having to balance your job with trying to homeschool was extremely challenging.
There are emotional challenges for employees with all three types of working. According to a Microsoft Report in 2021, 54% of remote workers feel overworked and 39% feel exhausted. Zoom Fatigue is also a factor with many meetings running consecutively.
For those who have returned to the office full time, the daily commute is a reminder of a way of life they would rather avoid every day. Employees have to grapple with higher levels of stress, and this affects their ability to regulate their emotions.
Emotional Intelligence is the ability to understand how our emotions and behaviours impact firstly on ourselves and then on others. In order to adapt to these new ways of working, employees need to be aware of how to best manage their emotions to ensure they can continue to perform at their best.
How Leaders Build Trust and Accountability
Employers need two traits if they want their team to adapt to new ways of working: trust and accountability. This is especially important if you have certain people in the team working from home and some in the office. Employees need to feel they are part of the team and have a shared sense of responsibility. This gives them a sense of autonomy, which builds trust.
Psychological safety is paramount. Give people an opportunity to air their views, grievances, and fears. Managers may see this as a threat to their role or as being too soft, whereas nothing could be further from the truth.
You need to be aware of what will enable peak performance from your employees. If you want to ensure success in the workplace, building trust and accountability is essential.
To build trust and accountability, develop your self-awareness. How? Understand your style of leadership and whether or not it is effective. Get regular feedback from a trusted source.
Self-regulation is how you manage yourself in the workplace. It is vital to understand your own emotions and behaviors so that you can adapt and improve where necessary. Do you have any blind spots in this area? How do people respond to you? This is the intrapersonalaspect of EI – managing the self.
When it comes to managing others – the interpersonalaspect of EI – social awareness is key. Who are the best communicators in your team? Is there someone who is struggling and could use a little empathy right now? Put yourself in their situation and see it from their point of view. Using EI to deal with your own emotions and behaviors and to understand those of others will propel you from a good leader to an excellent one.
Emotional Intelligence for Employees
In the same way that the manager or leader has to be fully aware of how their emotions and behaviors impact both themselves and others, the same holds true for any employee.
This is particularly important if they are feeling apprehensive about the options available in the workplace. They need to feel safe to voice their concerns.
The most important aspect of developing self-awareness is understanding what it is about your job that motivates you. If going back to the office de-motivates you, why is that? Could you express those issues/concerns to your manager? If you are going to move to a hybrid work model, have you prepared yourself mentally for that change? What are the advantages and disadvantages, and how do they affect you?
EBW model of Business Emotional Intelligence is about the ability to use your intrapersonal and interpersonal intelligence to focus on the critical emotions and underlying behavioural traits that predict occupational performance.
Be Proactive
Any good manager will appreciate an employee who takes the initiative on issues that arise. Try to find a potential solution before you talk to management. It’s about building trust, communicating openly, and not being afraid to stand up for what you need.
Get yourself into the right mindset. If there are obstacles in your way or you feel unsupported, how could you change that?
Being aware of both the intrapersonal traits and the interpersonal traits of EI will enhance your career prospects. Use self-awareness to take your own personal audit of how the new way of working is going to affect you. Use social awareness to see if it will impact how you relate to both your manager and your colleagues to ensure clear communication going forward.
To conclude, both employers and employees need to take stock at this time of change. If we can develop our EI to communicate clearly, build trust and accountability, and nurture both the self and each other, the future looks bright.
About the author
Justine McGrath is an executive coach and trainer who specializes in Emotional Intelligence. She is the owner of ProACTive Coaching and is a facilitator of the EBW System of assessments and training.
Achieving sustainability is challenging for businesses because it requires significant resources, stakeholder cooperation, and change throughout the supply chain.
