ENGINEERING ECONOMIST

Scope & Guideline

Exploring the Financial Dimensions of Innovation

Introduction

Delve into the academic richness of ENGINEERING ECONOMIST with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN0013-791x
PublisherTAYLOR & FRANCIS INC
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1955 to 2024
AbbreviationENG ECON / Eng. Econ.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106

Aims and Scopes

The ENGINEERING ECONOMIST journal is dedicated to the interdisciplinary study of the economic aspects of engineering practices. It seeks to provide insights into how engineering decisions can be optimized for better financial performance, risk management, and strategic planning.
  1. Economic Modeling and Analysis:
    The journal emphasizes the development and application of economic models that evaluate various engineering projects, including cost-benefit analyses and risk assessments.
  2. Supply Chain and Operations Management:
    A core focus is on the financial performance and optimization of supply chains, exploring issues like cash flow management, inventory systems, and supplier selection.
  3. Investment Evaluation and Decision Making:
    Papers often address methodologies for evaluating investment opportunities, including real options analysis and stochastic modeling to support decision-making under uncertainty.
  4. Risk Management and Financial Engineering:
    The journal covers methodologies for assessing and managing financial risks in engineering contexts, including the use of advanced statistical techniques and optimization strategies.
  5. Sustainability and Economic Feasibility Studies:
    It includes research on the economic viability of sustainable engineering practices, such as renewable energy systems and green technologies.
Recent publications in the ENGINEERING ECONOMIST journal reveal several emerging themes that reflect current trends in engineering economics. These themes highlight the journal's responsiveness to contemporary challenges and innovations in the field.
  1. Integration of Machine Learning in Economic Forecasting:
    There is a growing trend towards using machine learning techniques for economic predictions, particularly in stock market forecasting and supply chain optimization, signaling a shift towards data-driven decision-making.
  2. Real Options Analysis in Uncertain Environments:
    Recent papers increasingly utilize real options analysis to evaluate investment decisions under uncertainty, reflecting a modern approach to financial evaluation that captures flexibility and strategic options.
  3. Sustainability and Green Engineering Economics:
    Emerging research is focusing on the economic implications of sustainable practices, including cost analyses of renewable energy systems and environmental technologies, indicating a significant shift towards sustainability.
  4. Advanced Risk Management Techniques:
    Publications are increasingly exploring sophisticated risk management strategies, including stochastic optimization and multi-stage decision-making processes, to navigate complex economic environments.
  5. Behavioral Economics in Engineering Decisions:
    There is an emerging interest in the role of behavioral economics in engineering decision-making, examining how psychological factors influence economic outcomes in engineering projects.

Declining or Waning

In the evolving landscape of engineering economics, certain themes have become less prominent in recent publications. This decline may reflect shifting priorities within the field or the emergence of new methodologies that overshadow previous approaches.
  1. Traditional Cost Accounting Techniques:
    There has been a noticeable decline in publications focusing on conventional cost accounting methods, as newer methodologies like activity-based costing and fuzzy logic approaches gain traction.
  2. Basic Economic Theories without Empirical Application:
    Papers that solely discuss economic theories without empirical validation or application in engineering contexts have become less common, indicating a shift towards more practical and applied research.
  3. Static Decision-Making Models:
    Research centered around static models for investment decisions has waned, with more emphasis now placed on dynamic and real-time decision-making frameworks that account for uncertainty and market volatility.
  4. Generalized Risk Assessment Frameworks:
    There has been a decrease in generic risk assessment frameworks, with a trend towards more specialized models tailored to specific industries or scenarios, such as supply chain disruptions or renewable energy investments.
  5. Single-Factor Analysis in Economic Studies:
    The focus on single-factor analyses in economic studies is declining as multidisciplinary approaches that consider multiple variables and their interactions are becoming more favored.

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