Thipsamai Research Institute publishes peer-reviewed research and graduate-level textbooks on the intersection of artificial intelligence, organisational management, and policy — with a particular focus on Thailand and the wider emerging-economy context.
A critical examination of Q1 journal publication requirements in doctoral education, peer-review epistemology, and the political economy of academic publishing. Argues that quartile-based mandates produce credentialing without scholarship, and proposes an alternative reform model.
Read the paper →A critical policy analysis through four theoretical lenses, identifying four governance gaps and introducing the concepts of Governance Paradox and Trust Capital.
Policy · ComparativeA framework for human capital accounting disclosure in EEC manufacturing organisations. Sequential mixed-methods design, n = 400.
Empirical · FrameworkA note on what we do
We exist to produce scholarship that is rigorous enough for the boardroom and honest enough for the seminar room — research that resists the comfortable abstractions of Northern theory, and instead takes seriously the institutional grain of emerging-economy practice.
A catalogue of completed work across human capital strategy, AI governance, compensation disclosure, and the political economy of academic publishing — primarily situated in Thai manufacturing and the Eastern Economic Corridor.
A Critical Examination of Q1 Journal Publication Requirements in Doctoral Education, Peer Review Epistemology, and the Political Economy of Academic Publishing
An argument against the global diffusion of Q1-as-quality reasoning, drawing on peer-review theory and structural analysis of academic publishing. Develops a three-problem framework and an alternative reform model. Includes four analytical diagrams.
A Critical Policy Analysis through Easton, Ansell & Gash, Consequentialist–Deontological Ethics, and the Brussels Effect
A six-tier conceptual architecture of Thai AI and data governance, identifying four structural gaps and developing two original analytical concepts — the Governance Paradox and Trust Capital — alongside Thailand–EU comparative analysis.
A Framework for Manufacturing Organisations in Emerging Economies
Sequential explanatory mixed-methods study of n = 400 manufacturing organisations across Thailand's Eastern Economic Corridor (Chonburi, Rayong, Chachoengsao). Five-chapter monograph, submitted for peer review; develops a disclosure framework aligned with AI-driven HR analytics.
A Large-Scale Mixed-Methods Study of the Eastern Industrial Region
Survey of 1,150 manufacturing companies (90.6% AI adoption) and 115 stakeholder interviews, integrating Technology–Organisation–Environment, Resource-Based View, and Technology Acceptance Model frameworks. Published in journal article form and translated into Thai.
A Quantitative Correlational Study in Thai Textile Manufacturing (DBA dissertation)
Doctoral dissertation examining the relationship between wage structure and employee outcomes at a 1,500-employee textile manufacturer in central Thailand. Strong correlations identified across satisfaction (r = 0.76), motivation (r = 0.69), and retention (r = 0.71); journal-ready manuscripts available in English and Thai.
Textbooks designed for postgraduate study, executive education, and doctoral coursework — written from inside the practice they describe, and unafraid of the institutional conditions of emerging-economy contexts.
Single-volume textbooks written for specific modules of postgraduate and doctoral study, each developed alongside the running case studies and policy contexts that shape contemporary practice.
Ethics, Governance and Strategy · Second Edition
A twelve-chapter examination of data and AI ecosystems through ethical, governance, and strategic lenses. Designed for MSc and doctoral readers; integrates cross-boundary governance, platform strategy, data architectures, and standards.
A Global Boardroom Guide for the Emerging-Economy Era
A practitioner-facing textbook for human capital analytics in the boardroom. Combines decision-rights frameworks, KPI/KRI design, ESG integration, and governance gates. Forthcoming.
A twelve-textbook programme covering 60 ECTS of self-study material — written for postgraduate readers in business, management, and applied AI. Each textbook is standalone; together they constitute a complete curriculum grounded in Thai and wider emerging-economy practice.
First principles for business readers
A non-technical introduction to AI concepts, terminology, and capability boundaries — written for managers without prior computer science.
Data-driven decision making
Analytics frameworks, decision modelling, and the practical discipline of using data well in commercial contexts.
Organisational transformation
Change leadership, stakeholder dynamics, and the conditions under which AI initiatives stick — or collapse.
Strategy and value creation
How AI reshapes business models, value capture, and competitive boundaries — with worked cases from Thai manufacturing.
Two-sided markets and platform power
Platform economics, governance asymmetries, and platform strategy in emerging-economy contexts.
From capability to advantage
A strategic framework for AI portfolio decisions, capability building, and the long arc from pilot to production.
Human factors in intelligent systems
How humans actually interact with AI systems — trust, over-reliance, automation bias, and the design of interventions.
Process design, RPA, and AI-augmented operations
A practitioner's textbook on automation strategy: when to automate, where to keep humans, and how to govern both.
Project management for AI initiatives
Data governance frameworks integrated with AI project lifecycle management, gates, and risk owners.
Applied ethics for managers
Practical ethics for organisational decision-makers — fairness, accountability, and the limits of frameworks alone.
Sector-specific applications
Worked applications of AI across manufacturing, finance, healthcare, and logistics — with attention to context-specific constraints.
Integrative project management
The integrative capstone — running an AI programme end to end, from problem framing through governance to handover.
An independent research institute based in Thailand, working at the intersection of artificial intelligence, organisational management, and emerging-economy policy.
Thipsamai Research Institute was founded to publish scholarship that takes the conditions of emerging-economy organisations seriously — not as deviations from a Northern norm, but as the actual terrain on which most of the world's managerial decisions are made. The institute publishes peer-reviewed research, graduate-level textbooks, and policy analysis primarily focused on Thailand, Southeast Asia, and the wider context of emerging-economy practice.
The institute's research programme is interdisciplinary by necessity. Questions about AI adoption in manufacturing cannot be answered without governance theory. Questions about wage structure cannot be answered without organisational psychology. Questions about academic publishing cannot be answered without political economy. The work refuses the false comfort of single-discipline tidiness in favour of arguments that hold up across the disciplines that matter to the practice.
Original empirical and conceptual research, submitted to peer-reviewed venues and made available through the institute.
Single-volume textbooks for MSc and doctoral study, written from inside the practice they describe.
Critical analyses of AI, data, and labour policy in Thailand and comparative contexts.
Bilingual editions of selected research, prepared in English and Thai for cross-context readership.
The institute writes in formal academic prose, observes APA 7th-edition conventions where appropriate, and prefers narrative reference over performative citation. Research is published either as standalone monographs or as journal articles in peer-reviewed venues. The institute does not run a journal of its own, by design — the work belongs in the wider scholarly conversation, not in a private one.
For requests for paper copies, collaboration enquiries, permissions, or correspondence with the director.
Most correspondence is handled directly by the director. Requests for published papers, textbook desk copies, peer-review enquiries, and collaboration proposals are all welcome.