Forthcoming Articles

International Journal of Technology Intelligence and Planning

International Journal of Technology Intelligence and Planning (IJTIP)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Technology Intelligence and Planning (2 papers in press)

Regular Issues

  • Research on Initial Coin Offerings: a Bibliometric Analysis   Order a copy of this article
    by Wan Mohd Hirwani Wan Hussain, Abu H. Ayob, Alya Geogiana Buja, Rabiah Ahmad 
    Abstract: Advanced business activities today have driven the emergence of new technologies for facilitating complex financial transactions. As such, initial coin offerings (ICOs) have become an alternative for companies and investors in diversifying capital investment. Despite its promising future, little is known on the progress of the academic research on this subject. To shed light, our study reviews a total of 184 publications on ICOs from the Scopus database. The analysis focuses on prominent pattern of leading institutions, impactful research, citation trends, and keyword analysis. From that, this study contributes to improve understanding on a novel yet under-researched niche of ICOs for the benefits of both academics and practitioners.
    Keywords: Initial coin offerings; Blockchain; Bibliometrics; Scopus database; VOSviewer.
    DOI: 10.1504/IJTIP.2025.10075812
     
  • Aligning AI: a New Paradigm for Decision-Making in Resource-Limited Agritechs   Order a copy of this article
    by Hussein Lakkis, Helmi Issa 
    Abstract: Artificial Intelligence (AI) is transforming businesses by driving automation, predictive analytics, and data-driven decisions across industries. However, the intersection of AI's unpredictability with resource-limited and risk-sensitive sectors like agriculture create uncertainties and challenges that demand cautious management. This research empirically examines the impact of three diverse AI characteristics (i.e., autonomy, ambidexterity, and alignment) on decision-making with resource allocation as a moderator in the context of agritechs. Data was collected from multiple sources that mainly focused on agritech (agriculture technology) startups in France (n= 151). The findings revealed significant linear relationships for autonomy and ambidexterity characteristics and a nonlinear relationship for the alignment characteristic. This research introduces "alignment" as a new AI characteristic for optimal decision-making and proposes "Amber AI" as a transformative paradigm beyond Red and Green AI. It also develops practical simulation-based tools for detecting AI misalignment and optimizing resource allocation in agricultural management.
    Keywords: AI; Agriculture; resource allocation; decision-making.
    DOI: 10.1504/IJTIP.2026.10076838
     

 

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