This is a question for everyone to respond to, including experts and participants:
What are some examples of using social inclusion and women’s empowerment data to inform business decision-making?
Looking forward to the conversation!
This is a great question, Laura.
There are many examples of how using social inclusion and women’s economic empowerment (WEE) data can help inform business decisions. A surge of interest from governments, the private sector, researchers, and advocates in promoting WEE has led to a proliferation of WEE measurement tools and each tool once implemented can result in valuable data for business decisions. The multitude of tools currently available makes it difficult to know which are most useful for specific purposes and contexts and which have been developed most rigorously.
The Center for Global Development (CDG) has done a great job developing a WEE measurement tool compendium that selects and reviews tools for measuring women’s economic empowerment (or disempowerment) grouped into population monitoring tools (PM) and monitoring and evaluation tools (M&E). The compendium reviews 20 PM tools and 15 M&E tools that help readers locate and choose different tools (and indicators) for different purposes.
At Resonance, we have adapted the Role Change Framework developed by the DFID-funded ÉLAN RDC agriculture and WEE-focused market-systems development initiative to measure the outcomes of the Investing in Women to Strengthen Supply Chains which is a $20M global development alliance (GDA) between USAID and PepsiCo to make the business case for women’s economic empowerment (WEE) in agricultural supply chains. The framework captures key outcomes data that helps PepsiCo, as a large MNC, and USAID with their business decisions. It assists them in understanding and using social inclusion and women’s empowerment data on strengthening women’s agricultural skills and access to resources to achieve their core business and impact goals.
We have renamed the framework for the GDA as the Supply Chain Empowerment Framework (SCHEF), recognizing that (1) WEE is a spectrum embedded in context; (2) progression in WEE is experienced differently by women in different situations (socioeconomic status, existing access to resources, etc.); and (3) measurement of WEE needs to be tailored to context and interventions. There are seven domains under SCHEF for which we developed sub-indicators to measure progress made on each of the dimensions of economic empowerment among women in intervened PepsiCo supply chains.
The WEE Measurement Tool, which is assessing empowerment levels in seven domains, helps us collect data relevant to the varied positions women occupy in supply chains. The seven domains include:
PepsiCo Gender Capacity, or changes within PepsiCo, that improve gender-related knowledge, attitudes, and skills of staff, and enhance institutional policies and practices.
Recognition and Reward of Women’s Labor, ensuring that women’s positions in the supply chain are made more formal and visible to key actors.
Women’s Workplace Conditions pushes workplace conditions policies and facilities on farms and within other supplier organizations to be safe, equitable, and more favorable for women.
Supplier Gender Capacity, or changes in gender-related knowledge, attitudes, skills, and practices for a range of key suppliers.
Women’s Status, targeting improvement to women’s voice, decision-making, and self-efficacy; more equitable norms around leadership and land rights; and opportunities for women to move into new or upgraded roles.
Women’s Access to Goods and Services, to give women ongoing, increased access to the goods and services they need to improve their economic situation (e.g., market information, financial services, childcare services, safe transport).
Women’s Access to Capacity Development, to ensure women have ongoing access to on-farm training provided by an employer or partner.
The framework is an easy-to-deploy approach over complex tools such as the project-level Women’s Empowerment in Agriculture Index (WEIA) which requires a social science research background and can be challenging to implement in a private sector supply chain context. It also offers a robust approach that accounts for the understanding that WEE is a spectrum, experienced differently among women and dependent upon the roles and positions in which they currently find themselves. Given that different groups of women – lead farmers, farm families, and farm laborers – will experience different empowerment outcomes as they participate in the GDA activities, the framework allows for capturing nuances while estimating, on a broader level, the extent to which women’s empowerment has progressed within PepsiCo’s supply chain in the GDA countries.
Data is collected at the individual level with women and men who participated in GDA activities through their roles in the supply chain. The outcomes measurement requires establishing a robust baseline and collecting annual data that will lead to an endline evaluation at the project completion.
As the primary purpose of the activity is to make the business case for empowering women in PepsiCo’s supply chains. It is critical for us to capture changes in women’s economic empowerment and contract holders’ business performance, as well as the relationship between them so that PepsiCo can decide if engaging and empowering women in its supply chain make business sense in terms of increased yield and quality of commodities sourced and if women involvement contributes to an uptake in the adoption and application of improved agricultural practices and technologies.
In terms of informing business decision-making, data related to social inclusion and women’s empowerment can play a crucial role. Based on IGNITE’s experience with Microfinance Institutions (MFIs), we have noticed that by analyzing data on women’s needs, opportunities, social challenges, and preferences, MFIs can develop products and services that cater to a specific category of customers. This results in greater advocacy for women’s empowerment, adoption of gender transformative approaches, market share and increased customer satisfaction.
MFIs have diverse stakeholders, including clients, board members, the public, international donors, and local government institutions, to whom they are accountable. With an efficient Monitoring and Evaluation (M&E) system in place, MFIs can improve oversight of their programs, continuously learn, and use evidence-based data to communicate the impact of their work from a gender lens perspective.
Below are some examples from the Burkina Faso portfolio under the IGNITE project, which is being implemented by Tanager in five countries, including Burkina Faso:
1. Institutional Diagnostic and Gender Audit: The IGNITE project supports MFIs in improving women’s empowerment and gender equality in their business practices. To achieve this, a diagnostic tool and a gender audit tool are used for data collection to assess the level of gender mainstreaming within APSFD (MFIs umbrella in Burkina faso) and its 4 members. This allows MFIs to gauge how well their initiatives, products, and services promote gender equality and women’s empowerment internally and externally. The assessment leads to improved approaches, innovation, and overall employee and customer satisfaction.
2. Training, Mentoring, and Coaching Programs: To ensure inclusive product and service development, the IGNITE project assists MFIs in understanding how they can use data on the specific needs and preferences of women to develop products and services that increase their market share and ensure customer satisfaction. IGNITE provides MFIs (15) with training on gender in management and operations, gender-sensitive products and services, and the analysis and utilization of gender data. Gender performance indicators are used to review existing M&E frameworks and identify financial inclusion gender performance indicators. From this, 4 MFIs developed an action plan to ensure better inclusion. The data analysis from these indicators supports their advocacy for promoting gender equality and inclusivity in their daily work and accross their stakeholders and partners.
3. Social Norms Evaluation: Through a social norms evaluation, MFIs collect data to identify and understand the most pressing social issues related to social inclusion and women’s financial behaviors in the microfinance sector in their different contexts. This information is used to develop transformative strategies that have a positive impact on their customer communities, ensuring the sustainability of their business.
Understanding women's challenges in the value chains - whether as producers, distributors, employees, or customers - can help companies design operations, products, and services that improve business outcomes while reducing women's roadblocks to participating in the economy. Social innovation and WEE data can unlock innovations in moving products and services to new markets! Also, imho, if we want to tackle some of the biggest challenges, such as climate change and rising income inequality, we need to unleash innovation and creativity, breaking away from the old ways we did things, and one leverage point is using gendered and social inclusion data (along with sex-disaggregated data) in diagnostic processes, research, operations design, etc.
You can also use social inclusion and WEE data in the operations design phase to find areas where you can improve business efficiency or reduce costs based on the stakeholders' needs, behaviours and preferences, ultimately enhancing financial benefits for the company. In the G-SEARCh project, companies conducted comprehensive diagnostic exercises to identify and design their gender-inclusive business practice - these exercises included interviews with all key stakeholders, including women. Please take a look at the examples here (case studies).
Another example is linked to the study I mentioned earlier: when we found a positive association between self-efficacy (gained by the women salespersons in a last-mile distribution project in Mexico City) and the number of sales made by the women, our recommendation to the company was to continue the life skills training provided by the company to the women and enhance it to strengthen self-efficacy and ultimately product sales.
Hi Yaquta and all,
I’ve really enjoyed this exchange on tools for collecting social inclusion and
women’s empowerment data and examples of how companies have used the data.
I have a question for the larger community. We are trying to understand different social groups along value chains that may be hidden/invisible but are contributing or have the potential to contribute more with tailored support from companies and the private sector. This almost always includes ‘women’ but recognizing women as a heterogenous group - and is not exclusively about women.
Curious if people know of or use any value chain assessment or mapping tools that capture this type of social differentiation or intersectionality. Or look beyond ‘women’ as a homogenous category and/or provide other types of disaggregation in addition to sex. And what the experience has been working with companies around other types of (overlapping) social differentiation to support increased social inclusion.
Thanks in advance!
Miranda
Miranda
Morgan, PhD
Research Consultant │ Gender
Equality and Inclusion
Alliance of Bioversity International and CIAT
Headquarters
– Rome, Italy