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Social Sciences · Economics, Econometrics and Finance

Business, Innovation, and Economy
Research Guide

What is Business, Innovation, and Economy?

Business, Innovation, and Economy is an interdisciplinary research area that studies how firms, entrepreneurs, technologies, and public institutions shape economic outcomes through investment decisions, business models, product development, and policy frameworks.

The Business, Innovation, and Economy literature spans 211,695 works and links firm strategy and innovation processes to macroeconomic performance and public finance.

Topic Hierarchy

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graph TD D["Social Sciences"] F["Economics, Econometrics and Finance"] S["Economics and Econometrics"] T["Business, Innovation, and Economy"] D --> F F --> S S --> T style T fill:#DC5238,stroke:#c4452e,stroke-width:2px
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211.7K
Papers
N/A
5yr Growth
133.1K
Total Citations

Research Sub-Topics

Why It Matters

Research in Business, Innovation, and Economy informs how organizations and governments design incentives, allocate capital, and build capabilities that translate ideas into scalable products and measurable economic outcomes. At the firm level, Eyring, Johnson, and Nair argue in "Nuevos modelos de negocios en los mercados emergentes" (2011) that multinational growth strategies in emerging economies often fail when they rely primarily on aggressive cost-cutting and near-zero margins, motivating business-model redesign rather than incremental efficiency alone. At the innovation-management level, Elder and Souder’s "Managing New Product Innovations" (1989) frames new-product work as an end-to-end management system from conception to commercialization, directly applicable to R&D portfolio governance and go-to-market execution inside firms. At the policy and public-finance level, "Latin American Economic Outlook 2022" (2022) and "Revenue Statistics in Latin America and the Caribbean 2023" (2023) are used to connect growth constraints and fiscal capacity in Latin America and the Caribbean, while Galindo and Nuguer’s "2023 Latin American and Caribbean Macroeconomic Report: Preparing the Macroeconomic Terrain for Renewed Growth" (2023) explicitly centers a “triple social, fiscal and growth challenge” limiting development in the region. In empirical research and evaluation, Gómez Ruíz, Pardo, and San Martín’s "MODELOS DE ECUACIONES ESTRUCTURALES" (2010) and Matas’s "Diseño del formato de escalas tipo Likert: un estado de la cuestión" (2018) matter because they shape how scholars and practitioners measure constructs (e.g., innovation capability, social responsibility, city branding) and test causal models in applied business and economic studies.

Reading Guide

Where to Start

Start with "Managing New Product Innovations" (1989) because it provides an end-to-end managerial structure that helps readers map where business-model design, investment decisions, and measurement methods fit in applied research.

Key Papers Explained

A practical pathway is to connect firm execution, strategic fit, and economic constraints. "Managing New Product Innovations" (1989) supplies the process view of moving from ideas to commercialization; "Nuevos modelos de negocios en los mercados emergentes" (2011) adds the strategic requirement to redesign business models for emerging-market conditions rather than relying on cost minimization; "On the Theory of Optimal Investment Decision" (1958) anchors how economists formalize investment choice under constraints. For empirical testing, "MODELOS DE ECUACIONES ESTRUCTURALES" (2010) provides the multivariate causal-modeling toolkit, while "Diseño del formato de escalas tipo Likert: un estado de la cuestión" (2018) supports defensible measurement of survey constructs that often populate those models. To situate firm behavior inside regional constraints, "Latin American Economic Outlook 2022" (2022), "Revenue Statistics in Latin America and the Caribbean 2023" (2023), and "2023 Latin American and Caribbean Macroeconomic Report: Preparing the Macroeconomic Terrain for Renewed Growth" (2023) provide macroeconomic and fiscal context frequently used in development-oriented innovation studies.

Paper Timeline

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graph LR P0["On the Theory of Optimal Investm...
1958 · 602 cites"] P1["The Design of Innovation: Lesson...
2002 · 914 cites"] P2["Constitución de la República del...
2008 · 763 cites"] P3["MODELOS DE ECUACIONES ESTRUCTURALES
2010 · 679 cites"] P4["Nuevos modelos de negocios en lo...
2011 · 1.9K cites"] P5["Latin American Economic Outlook ...
2022 · 677 cites"] P6["Revenue Statistics in Latin Amer...
2023 · 459 cites"] P0 --> P1 P1 --> P2 P2 --> P3 P3 --> P4 P4 --> P5 P5 --> P6 style P4 fill:#DC5238,stroke:#c4452e,stroke-width:2px
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Most-cited paper highlighted in red. Papers ordered chronologically.

Advanced Directions

Advanced work often combines (i) business-model adaptation questions raised in "Nuevos modelos de negocios en los mercados emergentes" (2011), (ii) process governance from "Managing New Product Innovations" (1989), and (iii) formal decision logic from "On the Theory of Optimal Investment Decision" (1958), then validates claims with rigorous measurement and causal modeling using "Diseño del formato de escalas tipo Likert: un estado de la cuestión" (2018) and "MODELOS DE ECUACIONES ESTRUCTURALES" (2010). Regionally focused research can treat "Latin American Economic Outlook 2022" (2022), "Revenue Statistics in Latin America and the Caribbean 2023" (2023), and "2023 Latin American and Caribbean Macroeconomic Report: Preparing the Macroeconomic Terrain for Renewed Growth" (2023) as baseline references for macro-fiscal conditions that shape innovation finance and scaling.

Papers at a Glance

# Paper Year Venue Citations Open Access
1 Nuevos modelos de negocios en los mercados emergentes 2011 Harvard business review 1.9K
2 The Design of Innovation: Lessons from and for Competent Genet... 2002 914
3 Constitución de la República del Ecuador 2008 763
4 MODELOS DE ECUACIONES ESTRUCTURALES 2010 Redalyc (Universidad A... 679
5 Latin American Economic Outlook 2022 2022 Latin American economi... 677
6 On the Theory of Optimal Investment Decision 1958 Journal of Political E... 602
7 Revenue Statistics in Latin America and the Caribbean 2023 2023 Revenue statistics in ... 459
8 Managing New Product Innovations 1989 Journal of Marketing 432
9 2023 Latin American and Caribbean Macroeconomic Report: Prepar... 2023 404
10 Diseño del formato de escalas tipo Likert: un estado de la cue... 2018 Revista Electrónica de... 401

In the News

Code & Tools

GitHub - acegframework/ACE-G-Framework: ACE+G AI Adoption Framework: Tools and documentation for implementing the ACE+G Framework.
github.com

Many companies today are grappling with how to effectively measure AI adoption and the value it delivers. This often leads to a**"lack of a common ...

GitHub - DevontiaW/ai-strategy-field-guide: A vendor-neutral, pattern-first AI strategy playbook by Textstone Labs. Practical frameworks, governance models, evaluation tools, and ready-to-use templates to go from business problem → deployment → adoption.
github.com

A vendor-neutral, pattern-first AI strategy playbook by Textstone Labs. Practical frameworks, governance models, evaluation tools, and ready-to-use...

GitHub - awslabs/data-solutions-framework-on-aws: An open-source framework that simplifies implementation of data solutions.
github.com

Data Solutions Framework (DSF) on AWS is a framework for implementation and delivery of data solutions with built-in AWS best practices. DSF is an ...

GitHub - MicrosoftDocs/cloud-adoption-framework: Cloud Adoption Framework
github.com

For more information, see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments. ## About Cloud Adopt...

GitHub - salesforce/ai-economist: Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
github.com

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This f...

Recent Preprints

Latest Developments

Recent research in 2026 highlights significant advancements in business, innovation, and the economy, including a positive outlook for US GDP growth at 2.5% in 2026, driven by tax cuts and a shift from tariffs (Goldman Sachs, January 2026), ongoing innovation focus among business leaders prioritizing product development and profitability (J.P. Morgan, July 2026), and the transformative impact of AI, which is evolving from tools to collaborative partners across industries, influencing work, healthcare, and scientific research (Microsoft, February 2026; Harvard Business Review, February 2026; OECD, June 2025). Additionally, the economy is expected to experience modest job growth with stable unemployment, while concerns about interest rates, fiscal space, and AI's role in productivity and innovation remain central themes (Stanford, February 2026; OECD, June 2025).

Frequently Asked Questions

What does the field of Business, Innovation, and Economy study in practice?

Business, Innovation, and Economy studies how organizations create and capture value (e.g., business models and new products) and how those choices interact with investment, policy, and macroeconomic constraints. "Nuevos modelos de negocios en los mercados emergentes" (2011) exemplifies the firm-strategy side, while "On the Theory of Optimal Investment Decision" (1958) exemplifies the investment-theory side.

How are innovation processes managed from idea to commercialization according to the most-cited literature?

"Managing New Product Innovations" (1989) presents innovation as a total management system spanning conception through commercialization. The work is commonly used to structure stage-based decision-making and to identify conditions associated with new-product success.

Why do business models matter for growth in emerging markets?

Eyring, Johnson, and Nair argue in "Nuevos modelos de negocios en los mercados emergentes" (2011) that multinationals often pursue emerging-market growth by relentlessly reducing costs and accepting near-zero margins, which can undermine sustainable expansion. Their analysis motivates designing business models suited to local constraints rather than transferring high-income-market templates unchanged.

Which methods are commonly used to test causal claims in business and innovation research?

Gómez Ruíz, Pardo, and San Martín explain in "MODELOS DE ECUACIONES ESTRUCTURALES" (2010) that structural equation models are multivariate techniques used to test models proposing causal relationships among variables. This approach is widely used when researchers need to link latent constructs (e.g., capabilities, attitudes) to observed outcomes.

How should researchers design Likert scales for surveys in innovation, marketing, and management studies?

Matas reviews common design choices and debates in "Diseño del formato de escalas tipo Likert: un estado de la cuestión" (2018), focusing on how scale format affects data quality. The paper is frequently used to justify survey-instrument decisions in social-science and market-research contexts.

Which sources in this literature connect innovation and business performance to macroeconomic and fiscal constraints in Latin America and the Caribbean?

"Latin American Economic Outlook 2022" (2022) and "Revenue Statistics in Latin America and the Caribbean 2023" (2023) are core references linking development challenges to fiscal and revenue structures in the region. Galindo and Nuguer’s "2023 Latin American and Caribbean Macroeconomic Report: Preparing the Macroeconomic Terrain for Renewed Growth" (2023) frames regional constraints as a combined social, fiscal, and growth challenge.

Open Research Questions

  • ? How can firms operationalize end-to-end new-product management systems described in "Managing New Product Innovations" (1989) while adapting business-model choices highlighted in "Nuevos modelos de negocios en los mercados emergentes" (2011) to local market constraints?
  • ? Which structural equation model specifications, as outlined in "MODELOS DE ECUACIONES ESTRUCTURALES" (2010), best distinguish between measurement error and true causal effects when studying innovation capability and performance?
  • ? How do alternative Likert scale formats discussed in "Diseño del formato de escalas tipo Likert: un estado de la cuestión" (2018) change estimated relationships in innovation and marketing models, and when do such design choices alter substantive conclusions?
  • ? How should optimal investment decision logic from "On the Theory of Optimal Investment Decision" (1958) be extended to settings where innovation projects face staged uncertainty and commercialization constraints emphasized in "Managing New Product Innovations" (1989)?
  • ? How can regional macro-fiscal diagnostics synthesized in "Latin American Economic Outlook 2022" (2022), "Revenue Statistics in Latin America and the Caribbean 2023" (2023), and "2023 Latin American and Caribbean Macroeconomic Report: Preparing the Macroeconomic Terrain for Renewed Growth" (2023) be translated into testable firm-level hypotheses about innovation financing and scaling?

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