Doctoral Research Framework · 2027

The Meguri
Framework

Managed Ecosystem Generating Unified Revenue Internally

A framework for designing integrated multi-node developments that sustain themselves through internal circulation — independent of external market conditions.

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§ 01 — The Concept

What if a destination did not
need anything around it to succeed?

Meguri is a single integrated ecosystem where multiple experience-driven nodes operate under one master structure — each commercially independent, but designed to circulate visitors and revenue between them.

Residential landowners are structurally tied to the ecosystem's success. Every addition strengthens the whole. The place does not rely on what is around it. It is built to sustain itself from within.

Unlike conventional resort or real-estate development, Meguri creates endogenous demand — demand that originates and compounds within the system, not from external market fluctuations.

M

Managed

Single master governance structure across all nodes

E

Ecosystem

Interdependent nodes, not isolated businesses

G

Generating

Endogenous demand created from within

U

Unified

Shared infrastructure, brand, and identity

R

Revenue

Multi-stream commercial viability by design

I

Internally

Independent of external market conditions

§ 02 — The Framework

Three self-reinforcing loops
that drive the system

Loop 01

Visitor Loop

A visitor arrives for one node and encounters the others. Dwell time extends. Spend increases across the ecosystem. They return. They refer. The internal pull compounds over time.

Loop 02

Inventory Loop

Plot owners build residential assets within the ecosystem and return them for managed hospitality use. They earn rental income. Their land appreciates. The developer acquires inventory without construction cost.

Loop 03

Compounding Loop

Each new node increases the ecosystem's draw. Higher footfall raises revenue. Rising revenue increases land value. Greater land value attracts more owners. Every addition strengthens every part that came before it.

§ 03 — Research Hypotheses

Four testable propositions
built from theory

H1
H1 · Experience Journey

Nodes sharing an experiential journey (agro-tourism → wellness → accommodation) will exhibit stronger positive cross-demand effects than nodes with low experiential overlap.

Pine & Gilmore (1999) · Customer Journey Theory
H2
H2 · Seasonal Resilience

A multi-node system with designed interdependency will show lower revenue volatility across seasons than comparable standalone single-node operations.

Iansiti & Levien (2004) · Portfolio Diversification
H3
H3 · Asset Retention

Residential nodes embedded within an active experiential ecosystem will demonstrate higher long-term asset retention and repeat engagement than those in isolated developments.

Place Attachment · Community-Integrated Real Estate
H4
H4 · Dwell Time

The presence of a wellness or slow-consumption node will extend average visitor dwell time and increase per-visit spend across the ecosystem.

Bitner (1992) · Servicescape Theory

§ 04 — Live Case Study

Vedbhoomi, Raigad —
a live operating system

The research is not theoretical. Vedbhoomi is 51 acres in Raigad, Maharashtra — nine nodes, each with its own commercial model, all operating within one ecosystem. The researcher is the developer and operator, with direct access to every transaction, every visitor record, and every stakeholder decision across every phase of development.

51
Acres, contiguous
9
Thematic nodes
~5
Acres per planet
2.5h
From Mumbai
2h
From Pune
Data access

Hover to explore · Click any planet for details · Drag to rotate · Scroll to zoom

§ 05 — The Research

A longitudinal study
of a live system

Existing scholarship on integrated resorts concentrates on large-scale, capital-intensive, brand-led complexes — Marina Bay Sands, Sentosa. The firm, not the designed ecosystem, is the unit of analysis. This study addresses both gaps.

Extending business-ecosystem theory into physical, place-based development, and producing a replicable framework for small-to-medium developers, planners, and tourism boards across India and beyond.

The researcher's dual role as developer-operator provides continuous, unmediated access to a live operating system — enabling longitudinal tracking, real-time variable control, and the ability to deploy and measure design interventions as they unfold. This level of access is rarely available in management research.

A

Aditya Mithare

B.Tech Mechatronics · PhD Candidate · Developer-Operator, Vedbhoomi · Raigad, Maharashtra

01
System Dynamics Modelling
Map reinforcing and balancing feedback loops between nodes; simulate design interventions
02
Panel-Data Regression
Quantify each node's contribution to system revenue; isolate cross-node demand effects
03
Cross-Case Node Analysis
Identify which node combinations produce the strongest mutual demand lift
04
Thematic Analysis
Interpret visitor motivations and cross-node engagement logic from interviews and field notes
05
Comparative Benchmarking
Situate findings against integrated-resort and mixed-use development literature globally

Theoretical Foundations

"Value is created not within isolated firms but through interactions between interdependent actors in a system."

[1]
Moore, J.F. (1993)
Predators and prey: A new ecology of competition. Harvard Business Review
[2]
Iansiti & Levien (2004)
The Keystone Advantage. Harvard Business School Press
[3]
Pine & Gilmore (1999)
The Experience Economy. Harvard Business School Press
[4]
Jacobides et al. (2018)
Towards a theory of ecosystems. Strategic Management Journal
[5]
Parker et al. (2016)
Platform Revolution. W.W. Norton
[6]
Bitner (1992)
Servicescapes: The impact of physical surroundings. Journal of Marketing
[7]
Prahalad & Ramaswamy (2004)
Co-creation experiences. Journal of Interactive Marketing
[8]
Sterman (2000)
Business Dynamics: Systems Thinking. McGraw-Hill

§ 06 — Get in Touch

For research collaboration,
developer enquiries,
or site visits

Vedbhoomi, Nijampur Mangoan, Raigad, Maharashtra
2.5 hrs from Mumbai · 2 hrs from Pune