Advances in Consumer Research
Issue:5 : 1763-1772
Research Article
Bridging Gaps and Building Futures: A Sectoral Analysis Of Entrepreneurial Ecosystem Drivers For Women Empowerment In Kamrup, Assam
 ,
1
Research Scholar Institute of Business Management and Commerce Mangalayatan University, Aligarh
2
Supervisor Institute of Business Management and Commerce Mangalayatan University, Aligarh
Received
Sept. 8, 2025
Revised
Oct. 20, 2025
Accepted
Nov. 7, 2025
Published
Nov. 19, 2025
Abstract

This study explores how the entrepreneurial ecosystem in Kamrup, Assam influences the growth and empowerment of women entrepreneurs in a region rich in both opportunity and cultural complexity. Despite a nationwide rise in women-led ventures, systemic hurdles—such as restricted access to finance, limited mentorship, policy gaps, and social norms—continue to hinder progress. By adopting a mixed-methods approach, the research blends quantitative survey data with qualitative interviews from women entrepreneurs, policymakers, and support organizations like ASRLM and NERAMAC. Guided by Isenberg’s entrepreneurial ecosystem model, the study assesses core factors such as financial accessibility, institutional support, policy implementation, market access, and gendered cultural dynamics. While national initiatives like PMMY and Start-Up India have made inroads, persistent challenges like digital illiteracy and weak grassroots execution remain. Notably, the study highlights the promise of local solutions—such as women-led cooperatives and microfinance programs—when backed by coordinated and inclusive policies. This paper offers a regionally grounded intervention framework and stresses the importance of collaborative action across sectors to build a resilient, gender-sensitive ecosystem. It urges a shift from symbolic support to substantive, long-term empowerment for women entrepreneurs, positioning Kamrup as a potential model for inclusive entrepreneurial development in India.

Keywords
INTRODUCTION

The empowerment of women through entrepreneurship has gained considerable attention worldwide, emerging as a vital strategy for achieving inclusive economic growth and gender equality. In India, where women comprise nearly half of the population, fostering women-led enterprises is not only a developmental priority but also an economic imperative. Despite several initiatives and policies, the entrepreneurial landscape remains heavily male-dominated. According to the Sixth Economic Census (MoSPI, 2025), women own only 13.76% of total enterprises in India, most of which are micro-scale, informal, and concentrated in traditional sectors such as handicrafts, dairy, or food processing. This gender gap becomes even more pronounced in rural and semi-urban areas where deep-rooted social norms, financial limitations, and lack of institutional support restrict women’s entrepreneurial aspirations.

 

Assam is growing rapidly in entrepreneurship programs and women involvement is also increasing rapidly. Based on the report of 2025, total 13.5 lakh women entrepreneurs were recorded in the state among the 12.6% of total entrepreneurs in Assam (Tice, 2024). Leading entrepreneurs in Assam, such as “Daisy Brahma, Hima Das and others” are promoting women entrepreneurship in the company. In recent years, several government-led initiatives like the Assam Startup Policy (2025), the Assam State Rural Livelihoods Mission (ASRLM), and the Pradhan Mantri Mudra Yojana (PMMY) have been introduced to promote entrepreneurship and financial inclusion. While these policies are well-intentioned, empirical evidence on their actual impact on women, especially in semi-urban and rural contexts, remains fragmented and inconclusive. The entrepreneurial ecosystem framework emphasizes the importance of a network of interconnected elements—including policy, finance, culture, infrastructure, and support services—that collectively nurture entrepreneurial activity (Motamedi Nia et al., 2024). Building on this, Stam’s Ecosystem Framework further highlights the interplay between systemic conditions and entrepreneurial outcomes (Santos, 2025). However, both models are largely gender-neutral and often fail to capture how these systems affect women differently, particularly in regions where societal norms and expectations impose additional

 

barriers. A growing body of research indicates that women continue to face structural disadvantages in entrepreneurial ecosystems.

 

In Kamrup, particularly in rural zones, limited mobility, inadequate market access, and reliance on informal networks further constrain women’s ability to grow their businesses. Based on the report of 2021, Assam has a total 31 headquarters of microfinance companies and 634 branches in its 29 districts (Sa-dhan, 2021). Also, the “Assam Co-Operative Bank Ltd” has only 1 branch which creates issues for the women entrepreneurs to get access to financial services. Despite these challenges, there are visible pockets of progress. Government-supported programs like Start-up Assam and ASRLM’s livelihood missions have introduced training, funding, and exposure opportunities for hundreds of women. Microfinance institutions (MFIs) and self-help groups (SHGs) have provided an important foundation for financial empowerment by offering group-based lending and mutual support systems (Shukla et al., 2024). Additionally, organizations such as the Assam Women Entrepreneurs Association (AWEA) have made significant strides in linking women to market opportunities, organizing trade fairs, and advocating for better policy representation. However, the overall impact of these efforts is limited by a lack of coordination, weak follow-through, and poor monitoring mechanisms, particularly outside the more developed zones of Guwahati.

 

The key questions guiding this research are: What are the critical elements of Kamrup’s entrepreneurial ecosystem that influence women’s participation and success? How do women engage with these elements, and what challenges do they face despite the presence of support programs? How can current policy frameworks be restructured to promote a more gender-inclusive ecosystem? The importance of this study lies in its focus on local and regional contexts, which are often overlooked in national-level reports. While macro-level studies provide valuable overviews, they frequently miss the micro-dynamics and region-specific variables that define entrepreneurial success or failure on the ground. By narrowing the lens to Kamrup, this research offers targeted insights that can inform localized policy interventions not only in Assam but across other northeastern states facing similar challenges. Moreover, the study aligns with the Sustainable Development Goals—particularly Goal 5 (Gender Equality) and Goal 8 (Decent Work and Economic Growth)—underscoring its relevance to both national and global development agendas (SDG, 2025). As India works toward becoming a $5 trillion economy, the inclusion of women entrepreneurs, especially from underserved regions, must become central to its growth strategy. This study aims to contribute to that goal by examining the realities on the ground, identifying gaps, and proposing pathways to build a more cohesive, inclusive, and gender-sensitive entrepreneurial ecosystem in Kamrup.

 

Table 1: Cost-benefit analysis

Category

Details / Assumptions

Value

Program Scope

Assam Startup ecosystem (incubation, grants, incentives)

489 incubated, 384 recognised startups, ~5,000 jobs, ₹74 cr funding raised (Startup, 2025)

Time Horizon

Analysis period

5 years

Discount Rate

Social discount rate

10%

Costs

Assumed govt. program cost

₹10 crore/year → PV ≈ ₹37.91 crore (5 yrs)

Jobs Created

From program reports

~5,000

Average Wage

Assumption

₹2.4 lakh/year

Annual Payroll (gross)

5,000 × ₹2.4 lakh

₹120 crore

Attribution to Program

Share of payroll credited to policy

30% → ₹36 crore/year

Payroll Tax Capture

10% of attributable payroll

₹3.6 crore/year

Startup Funding Raised

Reported figure

₹74 crore (cumulative)

Revenue Proxy from Funding

50% treated as taxable revenue

₹37 crore × 10% tax = ₹3.7 crore (one-off)

Annual Benefits (Yr 1)

Payroll taxes + revenue proxy

₹7.3 crore

Benefit Growth Rate

Assumed annual growth

30%

PV of Benefits (5 yrs)

Discounted at 10%

≈ ₹47.65 crore

NPV (Benefits – Costs)

5-year horizon

≈ ₹0.97 crore

Benefit–Cost Ratio (BCR)

PV benefits / PV costs

≈ 1.26

LITERATURE REVIEW

The concept of entrepreneurial ecosystems has gained significant attention in recent years, providing a comprehensive framework for understanding how various interconnected factors influence entrepreneurial activity. One of the earliest and most influential contributions to this discourse came from Isenberg (2010), who proposed a model based on six core domains: policy, finance, culture, support systems, human capital, and markets. These components, according to Isenberg, do not operate in isolation but are deeply interdependent, often reinforcing or undermining each other in context-specific ways. Building upon this foundation, Stam (2015) introduced an evolved version of the model that makes a critical distinction between framework conditions—such as institutions, infrastructure, and demand—and systemic conditions, including leadership, talent, finance, and knowledge. Together, these models have helped shape a more holistic understanding of how ecosystems can be structured to support entrepreneurial success by recognizing the importance of both tangible infrastructure and intangible enablers like networks and trust. However, one of the key limitations of these models is their gender neutrality. Despite the inclusive language and broad applicability, most entrepreneurial ecosystem research has not explicitly accounted for the ways in which women experience these ecosystems differently. This oversight is particularly critical in regions where traditional gender norms significantly influence women’s access to resources, decision-making, and mobility.

 

The implementation of strategic framework in the women entrepreneurship practice can allow to improve the access of financial resources and provide sustainability growth. A customized version of Isenberg’s framework, enhanced through a gender lens, is used to capture the nuanced realities of women’s experiences (Stephens et al., 2022). The quantitative data explores business profiles, funding sources, participation in schemes, and key constraints, while the qualitative data brings out personal narratives, social perceptions, and behavioral challenges. Together, this dual approach allows for a comprehensive understanding of both the structural and lived dimensions of entrepreneurship in Kamrup.

 

Pioneering work by Brush et al. (2009) highlighted that women face distinct barriers in accessing finance, mentorship, networks, and institutional support, often navigating entrepreneurial journeys without the same resources or social capital that men enjoy. These challenges are frequently exacerbated by gender biases embedded in financial institutions and public policy. More recent contributions by Brixiová et al. (2020) confirm that women continue to face systemic disadvantages within entrepreneurial ecosystems, especially in rural and semi-urban settings of the Global South. These disadvantages are often shaped by socio-cultural norms that limit women’s agency and discourage economic independence. In such contexts, women entrepreneurs are frequently relegated to low-value, home-based sectors, and their businesses remain informal, unscalable, and poorly integrated into formal markets or value chains. This is particularly true in India, where rural women entrepreneurs must navigate a combination of limited mobility, digital exclusion, and restricted market access, all while managing household responsibilities and social expectations that rarely accommodate business ambitions.

 

The situation in Assam, especially in districts like Kamrup, mirrors these broader challenges. While Assam is known for its cultural richness and entrepreneurial tradition—especially in sectors like weaving, dairy, and handicrafts—women’s participation in the formal entrepreneurial economy remains limited. Muhammad & Ximei (2022) stated that most women entrepreneurs in the region operate small-scale, home-based businesses, primarily within traditional sectors. These ventures are often informal and poorly connected to larger supply chains, which restricts growth and long-term sustainability. According to Kalita & Das (2023), despite the availability of national and state-level programs like Start-Up India and the Pradhan Mantri Mudra Yojana (PMMY), awareness and utilization among rural women in Assam remain critically low. Barriers to accessing these schemes include cumbersome documentation processes, lack of digital literacy, and weak outreach mechanisms that fail to engage with women in rural and marginalized communities.

 

The Assam State Rural Livelihoods Mission (ASRLM) has made commendable progress in organizing women into self-help groups (SHGs) and rural producer clusters. These collectives have provided women with basic financial access, peer support, and avenues for small-scale income generation. However, most SHGs are not connected to broader entrepreneurial ecosystems that offer mentorship, incubation, or growth-oriented financing. As a result, while these groups foster solidarity and financial inclusion, they often fall short of facilitating enterprise growth or market expansion. Similarly, the Assam Startup Policy (2025) outlines ambitious provisions for seed funding, incubation, and mentorship. Yet, the participation of women in these programs has been minimal, largely due to poor gender representation in program design, decision-making, and outreach. Many women entrepreneurs remain unaware of the resources available to them or find them difficult to access due to cultural and infrastructural constraints.

 

In light of these challenges, scholars and practitioners alike are advocating for a more gender-responsive approach to ecosystem development. This means not only acknowledging the specific barriers that women face but also designing systems that actively work to dismantle them. Sanusi  et al. (2025) stated that initiatives such as women-only incubators, dedicated mentorship networks, gender-sensitized financial products, and policy units that prioritize women’s inclusion could significantly improve the landscape for women entrepreneurs. Importantly, women must also be included in the policymaking and governance processes related to entrepreneurship so that policies reflect their lived realities and aspirations. On the contrary, Sarma & Barman (2024) stated that institutions like the Assam Women Entrepreneurs Association (AWEA) are already working to fill some of these gaps by organizing trade fairs, providing training, and advocating for policy reforms. However, these efforts need to be scaled and supported by both government and private actors to achieve long-term impact.

RESULTS AND DISCUSSION

This study employs a mixed-methods research design to comprehensively explore how various aspects of the entrepreneurial ecosystem affect women’s empowerment in Kamrup, Assam. By integrating both quantitative and qualitative methods, the research captures not only broad trends but also the nuanced, lived experiences of women entrepreneurs—an essential approach for gender-sensitive investigations.

 

Kamrup district, which includes both urban centers like Guwahati and surrounding rural areas, was selected as the study area due to its socio-economic diversity and evolving entrepreneurial landscape. This blend of formal and informal business environments provides a valuable setting for examining the ecosystem’s impact across different contexts. For the quantitative component, structured questionnaires were administered to 120 women entrepreneurs operating in sectors such as handloom, handicrafts, food processing, micro-retail, and small-scale services. The survey collected data on demographic profiles, types of businesses, access to finance, digital engagement, familiarity with government schemes, and perceived barriers to growth. In parallel, the qualitative aspect involved 20 in-depth interviews with key ecosystem actors. These included rural and urban women entrepreneurs, officials from ASRLM, NERAMAC, and MSME departments, as well as NGO mentors and microfinance representatives. This layer of inquiry added valuable context to the quantitative findings.

 

Data Collection

Table 2:- Socio-Demographic Profile of Respondents

Demographic Variable

 

Number of Respondents

Age (18–25)

17

Age (26–35)

66

Age (36–50)

29

Education (Primary)

12

Education (Secondary)

58

Education (Graduate)

33

Married

63

Unmarried

57

Rural

48

Urban

72

(Note: This table presents the age group, educational qualifications, marital status, and residential background (rural or urban) of 120 women entrepreneurs surveyed in Kamrup, Assam. Data reflects a diverse respondent base across both geographic and social dimensions.)

 

Figure 1:- Sector-Wise Distribution of Women Entrepreneurs

 

Table 3: Involved business sectors by the women entreprenuers

Business Sector

Number of Respondents

Food Processing

5

Handloom & Weaving

21

Retail/Kirana

30

Tailoring/Beauty Services

43

Dairy/Livestock

21

Other Services

20

(Note: This table illustrates the various business sectors in which women entrepreneurs in Kamrup are engaged. Retail and food processing emerged as dominant sectors, followed by handloom and service-based enterprises.)

 

Figure 2: Business sectors of women entrepreneurs

 

Table 4: Challenges of women entrepreneurs

Barrier

Percentage Reporting (%)

Limited Mobility / Domestic Responsibilities

26

Lack of Digital Literacy

36

Lack of Market Access

26

Fear of Bank Procedures / Documentation

23

Social Stigma or Gender Bias

8

Inconsistent Government Support

1

(Note: This table identifies the most commonly reported barriers by women entrepreneurs in Kamrup. Cultural limitations, digital exclusion, and lack of institutional support emerged as major constraints.)

 

Figure 3:– Challenges Women Entrepreneurs

 

Table 5: Type of support for women entrepreneurs

Type of Support

Number of Respondents

Skill Development Training (ASRLM/NGOs)

38

Financial Assistance (Loans/Grants)

44

Market Linkage Support

19

Mentorship or Business Guidance

11

Exposure Visits / Trade Fairs

8

No Support Received

35

 

(Note: This table categorizes the types of institutional and informal support received by women entrepreneurs in Kamrup. Skill development initiatives emerged as the most accessed form of support, while a significant portion of respondents reported no support at all.)

 

Table 6:- Awareness of Government Schemes among Women Entrepreneurs

Government Scheme

Number of Respondents Aware

PMMY

35

Start-Up India

46

ASRLM

22

MSME Support

11

None

6

(Note: This table presents the number of respondents aware of major government schemes aimed at supporting women entrepreneurs. PMMY and ASRLM emerged as the most recognized schemes, whereas many were unaware of programs like MSME support or Start-Up India.)

 

Figure 5: Awareness of Government Schemes among Women Entrepreneurs

 

Table 7:- Sources of Initial Capital

Source of Capital

Number of Respondents

Personal Savings

26

Family Assistance

55

SHG Loan

14

Bank Loan (PMMY)

22

Microfinance Institutions

3

(Note: Informal sources such as personal savings and family assistance are the primary funding avenues for women entrepreneurs in Kamrup. Access to formal credit remains limited due to procedural complexities and trust deficits in financial institutions.)

 

Table 6:- Sources of Initial Capital

Figure 7: Conceptual Framework of the Gender-Responsive Entrepreneurial Ecosystem in Kamrup

 

The conceptual framework in this research has majorly identified the issue of digital access. Based on the above survey findings 30% of the respondents mentioned the lack of digital literacy or access is the main issue for them. In this regard providing digital access to the women entrepreneurs is required. On the contrary, economic support is also required as the survey findings resulted 44 women mentioned that financial assistants, such as “loan/grants” are the main support from them. Hence, the support of digital literacy and finance are the core strength of women entrepreneurs in Assam to get a better opportunity for growth.

 

RESULT AND DISCUSSION

Correlation and regression Analysis

 

Figure 8: Correlation Analysis

 

A strong positive correlation can be seen between support received by the women entrepreneur and major challenges faced by the entrepreneurs with the value of 0.223100182. In depth analysis of this relationship has indicated that the lack of digital literacy regarding issues has been managed effectively with the help of financial; supports women entrepreneurs receive currently. On the other hand, government schemes and support for women entrepreneurship have a positive correlation value of 0.227851704. Therefore, Government schemes are one of the prior benefits that has been received by the women entrepreneurs of Kamrup which has helped in mitigating their challenges.

 

In terms of financing, the entrepreneurial ecosystem remains heavily reliant on informal funding avenues. Personal savings and family contributions were cited most frequently as sources of initial capital, with only a small proportion accessing formal loans from banks or microfinance institutions. Despite government push for financial inclusion, barriers such as documentation, lack of collateral, and digital inexperience deterred women from engaging with institutional lenders. While self-help groups (SHGs) played a vital role in providing small-scale loans and fostering peer support, they were rarely seen as a springboard for scaling up ventures. The institutional mistrust and procedural complexity present in formal financing continues to marginalize women who otherwise show the capability and intent to grow their businesses.

 

On a more optimistic note, women who did receive exposure visits or mentorship showed marked improvements in confidence, planning, and market awareness. These interventions, though limited in scale, underscore the transformative potential of ecosystem-based, women-centric programming. The study further introduces a conceptual framework, visualized in Figure 1, which places gender-responsiveness at the center of ecosystem design. The model proposes that finance, policy outreach, skill development, digital inclusion, and socio-cultural transformation must work in harmony rather than in isolation. When one pillar is weak — such as low digital literacy or lack of institutional trust — it hinders the effectiveness of all others. This ecosystemic view is particularly essential in Kamrup, where the diversity of rural and urban challenges requires locally tailored, integrated solutions.

 

Figure 9: Regression 1 (Sector and challenge)

 

The above mentioned statistical model is focused on evaluating the relationship between the issues faced by the women entrepreneurs aligning with the specificity to the sectors. Frequencies from the survey indicated that lack of digital literacy is one of the most concerning challenges as per 30 respondents. On the other hand, tailoring and beauty service has been considered as the highest women entrepreneur activity prone sector according to 35.8% respondents. However, the regression model has denoted a P value of 3.93849E-15 which is statistically significant as 3.93849 in a quadrillion chance is present that observed data could occur In a null hypothesised situation. More specifically, women entrepreneurial challenges are surely related with the hurdles facing in working in diverse industries but not specific to  a single industry. That means lack of digital l;itarcay among the women entrepreneurs would not only restrict them to specifically work in tailoring and beauty industry but across all the industries.

 

Figure 10: Regression 2 (Challenge and support)

 

The above used statistical model has denoted the relationship between the challenges faced by the women entrepreneurs along with the support they received. Frequency from the survey has mentioned that women entrepreneurs mostly receive (36.7%) financial support or loans. The p values among the mentioned variables has indicted a number of 1.66357E-14 which is 1.66 × 10⁻¹⁴. The P value of this model is much lower than the alpha value 0.05 which indicates that the regression is supporting the alternative hypothesis. Financial support received by the women entrepreneurs has significantly helped in managing the challenges they are facing in the current scenario.

CONCLUSION

The present study sought to explore how the entrepreneurial ecosystem in Kamrup, Assam affects the growth, resilience, and empowerment of women entrepreneurs. In a country where the entrepreneurial landscape is rapidly evolving, the inclusion of women from semi-urban and rural districts remains both a developmental necessity and a societal imperative. By focusing on Kamrup—an area marked by the coexistence of traditional cultural structures and emerging commercial dynamism—this research brings into focus a region that is often excluded from national entrepreneurial narratives. Through a careful blend of survey data and in-depth interviews, the study illuminated not only the structural and institutional factors shaping women’s business activities, but also the deeper emotional, cultural, and psychological experiences that influence women’s economic agency. What emerged is a clear picture of entrepreneurial potential constrained not by lack of capability, but by persistent systemic and social inequities. The data reveals that while several women in Kamrup have acquired formal education and the will to pursue economic independence, their ventures are often limited in scope due to poor access to finance, weak market linkages, and institutional disconnect. Even when policies like PMMY or ASRLM are introduced with inclusive intent, gaps in communication, execution, and follow-up dilute their actual impact. Moreover, digital illiteracy and mobility constraints further restrict how women can engage with new opportunities. Yet, within this challenging landscape, the study also identified stories of innovation, courage, and transformation. Women who accessed support services—be it in the form of mentorship, training, or community networks—demonstrated higher business stability and personal confidence. This signals that when support systems are well-aligned, women do not just participate—they lead, expand, and influence others in their community.

 

The Implications of these findings extend beyond Kamrup, offering valuable insights for similar regions across India and other developing economies. The challenges faced by women entrepreneurs in Kamrup—such as limited access to capital, inadequate infrastructure, and socio-cultural constraints—are not unique to this district. They reflect broader systemic issues that hinder women’s economic participation in many parts of the world. By addressing these challenges through targeted policies and community-driven initiatives, stakeholders can create more inclusive and supportive environments for women entrepreneurs. This, in turn, can lead to more equitable economic development and social progress.

 

The study also highlights the critical role of local governance and Institutions in shaping the entrepreneurial landscape. Effective implementation of policies and programs at the grassroots level is essential for translating national objectives into tangible outcomes. This requires building the capacity of local institutions, ensuring transparency and accountability, and fostering collaboration between various stakeholders, including government agencies, NGOs, and the private sector. Moreover, the research underscores the importance of adopting a holistic approach to entrepreneurship development. It’s not sufficient to focus solely on financial support or skill development; there must be concerted efforts to address the underlying social and cultural barriers that women face. It reinforces the need for multi-stakeholder collaboration, grounded in an understanding of regional and gender-specific challenges. If entrepreneurship is to be a true vehicle of empowerment, it must be supported by ecosystems that recognize and remove barriers—not reinforce them. The lessons from Kamrup are both local and universal, reminding us that real transformation begins not with policy slogans, but with systems that listen, adapt, and serve those who are too often left behind

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