International Journal of Technology, Policy and Management (25 papers in press)

Regular Issues

• The Integration of Network Security Protocols into Corporate Governance and Risk Management Practices  
  by Qinqing Weng, Haoheng Tian, Xia Sun, Lijia Huang 
  Abstract: Information transmitted over a network must be secured. Protocols, which are sets of rules and systems, ensure secure communication by defining how to connect, transmit, and receive data. Initially, these protocols aimed to prevent unauthorised access and tampering by malicious actors. As hackers evolved, so did security measures. This section presents a theoretical approach to risk analysis based on risk profiles, helping decision-makers balance security costs against potential threats. A control measure should not be implemented if its cost exceeds the current risk. Both subjective and objective weights are considered, along with uncertainty measures. These are used to calculate final evaluation weights. The Dempster-Shafer (D-S) theory and pignistic probability transformation (PPT) are then applied to assess network risk levels. Two case studies demonstrate the method’s effectiveness. This dual-weighted risk assessment supports informed decision-making and provides a comprehensive view of network security.
  Keywords: Network security; Corporate Governance; Risk Management Practices; decision-making.
  DOI: 10.1504/IJTPM.2026.10074727
   
  
• Cognitive Dissonance and Online Consumer Behaviour: A Bibliometric-Scientific Analysis and Future Directions  
  by Meenakshi Devi, Ganesh Dash, Gangwar P. Veer, Majed Helmi 
  Abstract: The present study reviews existing literature on cognitive dissonance and online consumers, using bibliometric analysis to summarise several studies in a single paper. This analysis identifies future directions and offers insight into the fields development and advancement. A bibliometric evaluation was conducted to understand the rapid growth of scientific research, identifying the most-discussed topics and those that warrant further investigation. Using the Scopus database, 234 relevant publications from 2000 to 2024 were selected. It was then evaluated using Biblioshiny and VOSviewer software to identify significant authors, studies, journals, emerging themes, and keywords in the domains of cognitive dissonance and online consumer behaviour. Results showed an increasing trend in publications, indicating significant advancements in the field of study. The analysis combines the findings from existing studies, helps develop a conceptual model, and identifies research themes or gaps that need further investigation.
  Keywords: Cognitive Dissonance; Online Consumer Behavior; Purchase Intention; Online Buying; E-commerce; Bibliometric Analysis.
  DOI: 10.1504/IJTPM.2026.10074798
   
  
• Space Sustainability and Resilience: A Policy Perspective for Emerging Technologies  
  by Alper Oren 
  Abstract: The exponential growth of space activities, driven by commercial expansion, mega-constellations, and geopolitical rivalries, has created critical sustainability and resilience challenges in global space governance. Current regulatory frameworks, including the Outer Space Treaty and voluntary initiatives, inadequately address orbital congestion, space debris, and cybersecurity vulnerabilities. This study examines governance gaps and the potential of Emerging and Disruptive Technologies AI, blockchain, and quantum computing in enhancing sustainability. While AI improves space situational awareness, it raises liability concerns. Blockchain offers regulatory transparency but lacks mandates. Quantum communications bolster security but risk monopolisation. The paper proposes a multi-tiered policy framework integrating binding regulations, economic incentives, and multilateral cooperation. It advocates for enforceable space traffic management, private-sector engagement, and inclusive governance to ensure long-term stability, security, and equitable access. The findings offer actionable recommendations for stakeholders to align innovation with responsible governance in this decisive decade.
  Keywords: Space Sustainability; Resilience in Space Governance; Emerging and Disruptive Technologies; Space Traffic Management; Orbital Congestion and Debris Mitigation.
  DOI: 10.1504/IJTPM.2026.10074836
   
  
• Creating Awareness of Intellectual Property Rights as an Entrepreneurship Capacity-Building Program. What Promotes the Growth of Sustainable Knowledge, Skills, Attitudes, and Behavioural Intentions of an IP Professional?  
  by Satya Ranjan Acharya, Yamini Chandra 
  Abstract: This study analyses the impact of two flagship online intellectual property rights (IPR) certification programs Nurturing Innovation and Startup Ecosystem (NISE) and Comprehensive Online Intellectual Property Rights Certificate Course (COIPRc) launched by i-Hub, an initiative of the Student Startup Innovation Policy (SSIP), Government of Gujarat, India. Using preand- post-training data, the study evaluates participants knowledge, managerial skills, attitudes, and behavioural intentions toward IPR management. Findings indicate that behavioural intention is the strongest factor influencing IP professionals competencies. This research provides valuable insights for policymakers and educators in strengthening entrepreneurial ecosystems through IPR-focused capacity-building programs. Future studies are recommended for broader analysis
  Keywords: entrepreneurship capacity-building; intellectual property rights; sustainable development; technology commercialization.
  DOI: 10.1504/IJTPM.2026.10075022
   
  
• Does Artificial Intelligence Promote the Synergistic Construction of Low-Carbon Cities and Smart Cities  
  by Yanyun Chen, Hongzhou Xie, Kun Liao, Ke Ke 
  Abstract: Based on the instrumental variables method and panel regression model, this paper explores the relationship between AI and smart low-carbon cities using Chinese provincial panel data from 2015-2022, and finds that AI has a significant enhancement effect on the construction of low-carbon cities and smart cities, a conclusion supported in both the benchmark regression and 2SLS results and held true after multiple robustness tests. Additionally, in the mechanism test, the level of informatisation and the labour market respectively play a mediating role in the relationship between AI and low-carbon cities as well as in the relationship between AI and smart cities. Moreover, regressing AI indicators on the cross-multiplier terms of low-carbon cities and smart cities proves that AI has a positive impact on the synergistic construction of low-carbon cities and smart cities.
  Keywords: Artificial Intelligence; Smart City; Low-Carbon City; Synergistic Construction.
  DOI: 10.1504/IJTPM.2026.10075750
   
  
• Smart Regions for Leveraging Digital Infrastructure for Regional Competitiveness: a State of the Art  
  by Paulo Simoes, Carlos Jeronimo, Leandro Pereira, Joaquim Caeiro 
  Abstract: The concept of smart regions, leveraging digital technologies to boost economic competitiveness and quality of life, has become prominent globally. Integrating digital innovations with strategic regional planning, smart regions aim for enhanced sustainability, socio-economic development, and innovation. This study systematically reviews 252 publications from Scopus and Web of Science (January 2000November 2024), employing content and bibliometric analyses to identify themes and trends. Findings reveal smart regions predominantly utilise information and communication technologies (ICT), Internet of Things (IoT), and smart governance to enhance regional innovation. Nevertheless, success depends heavily on effective digital technology integration within strategic regional development. The study highlights the need to examine long-term effects on sustainability and economic resilience. Further research should investigate cultural and behavioural factors influencing technology adoption and compare successful vs. unsuccessful smart region initiatives to identify critical determinants Understanding these aspects will support tailored strategies, enhancing the sustainability, effectiveness, and resilience of future smart regional development efforts.
  Keywords: Smart regions; Smart cities; regional innovation; regional competitiveness.
  DOI: 10.1504/IJTPM.2026.10075919
   
  
• Carbon Credit Accounting and Carbon Taxation: A Systematic Policy and Technology Analysis for Sustainable Innovation and Green Transitions  
  by Monu Bhardwaj, Rakesh Kumar, Harsh Awashti, Damodharan Varada Sowmya 
  Abstract: This study presents a systematic literature review using the PRISMA framework to examine the effectiveness of carbon credit accounting and carbon taxation in shaping environmental policy. As climate change intensifies, these carbon pricing tools are increasingly vital, aiming to curb emissions by monetizing carbon output. The review highlights challenges such as inconsistent implementation, limited transparency, and fragmented frameworks across regions. It finds that most studies address carbon credits and taxation separately, with limited insight into their combined impact. A notable gap exists in comparative research between developed and developing nations. Issues like double-counting and weak data on long-term effects persist. The study concludes that harmonized standards, transparent reporting, and integrated policy models are essential to enhance credibility and drive meaningful change. Future research should prioritize real-world comparisons and integrated approaches to support effective and equitable climate action through robust carbon pricing mechanisms.
  Keywords: Carbon credit accounting; Carbon taxation; Climate policy analysis; Green technologies; Sustainable innovation; Environmental economics; Policy harmonization; Technology and sustainability.
  DOI: 10.1504/IJTPM.2026.10076882
   
  
• Exploring Key Drivers and Challenges in the Successful Adoption of Digital Health Technologies to Improve Mental Well-being: A Qualitative Perspective  
  by Vijay Kumar Jain, Shrish Singh, Aditi Kumari, Preeti Sharma, Shipra Agarwal 
  Abstract: The objective of the study is to explore enablers and barriers for effective integration of digital health solution for mental well-being in the healthcare industry. Sixteen factors for digital health integration have been identified using literature review. Interpretive structural modelling (ISM) has been used to analyse the data and examine the interrelations. The main aim of the ISM process was to build a hierarchical model representing these interdependencies. The findings reveal that Increased Smartphone and Internet Penetration are the strongest driver for digital health solution, followed by Personalisation through AI/ML, Interoperability and Technical Infrastructure, and Cost-Effectiveness of Digital Solutions. These drivers exert broad influence across the system, underpinning adoption and scalability. In contrast, Legal and Ethical Ambiguities emerge as the most dependent factor, reflecting its role as an outcome shaped by other dynamics. Moderate barriers and drivers are Lack of Digital Literacy and Supportive Government Policies respectively.
  Keywords: Technology Adoption; Mental Well-being; Digital Transformation; User Centric Design; Healthcare Innovation.
  DOI: 10.1504/IJTPM.2026.10077005
   
  
• The Roles of Digital Technologies and Human-Technology Interaction on Sustainable Exploration in the Oil and Gas Manufacturing Industry: an Integrated Fuzzy AHP, SEM and ANN Approach  
  by Ilyas Masudin, Favian Laverda Athaya, Thomy Eko Saputro, Dian Palupi Restuputri 
  Abstract: Applications of artificial intelligence, automation, and data analytics have a significant potential to improve efficiency, but they also carry challenges in adapting to the workforce. While existing literature emphasizes the importance of intelligent technology for sustainable exploration, there is still little understanding of the impact of management commitment on successful integration. This study examines how human operators, management dedication, and evolving digital technologies interact dynamically in the context of sustainable exploration. It applies an integrated Fuzzy Analytic Hierarchy Process (FAHP), Structural Equation Modeling (SEM), and Artificial Neural Networks (ANN) to uncover complex patterns and prioritize factors in the interaction between humans and technology and the various dimensions of management commitment, specifically within the Indonesian context. The FAHP results prioritized the key factors influencing sustainable exploration. The investigation findings reveal that solid management commitment is crucial in guiding interactions between humans and technology, ultimately influencing sustainable exploration. The study also finds a significant and robust positive influence of human-technology interaction on sustainable exploration.
  Keywords: Digital technology; human-technology interaction; sustainable exploration; oil and gas.
  DOI: 10.1504/IJTPM.2027.10077195
   
  
• Integrating Human-Centred Approaches for Structuring Workgroups in High-Complexity Assembly  
  by Teguh Oktiarso, Pratikto Pratikto, Sudjito Suparman, Sugiono Sugiono 
  Abstract: The assembly of railway bogies requires the input of several operators. Work team arrangements must be adapted to the ability of personnel to handle the complexity. A comparison of two work teams assigned to the assembly process will determine the effect of lean ergonomics and sociotechnical factors. The work teams differ in two key aspects number of members and composition of team members. This study's proposal for a decision-making framework for team composition in manual assembly integrates socio-technical considerations and lean ergonomic principles. The REBA assessment of group work posture had no effect on NVA. The ANOVA results showed p = 0.288 for group 1 and p = 0.345 for group 2. A 20.41-minute difference in bogie assembly completion proved socio-technical factors impacts team performance. The composition of team members can be reduced to two experienced operators who can deliver a high performance and improve work efficiency.
  Keywords: team composition; manual assembly; complexity; socio-technical systems; lean ergonomics.
  DOI: 10.1504/IJTPM.2027.10077341
   
  
• AI-Driven Approaches to Enhancing Fairness and Identifying Algorithmic Bias in Teacher Education  
  by Junli Tu, Hong Jiang 
  Abstract: This study employs algorithmic models and fairness criteria to examine bias and equity in AI-driven teacher education. It highlights ethical challenges and proposes strategies for fair AI integration by implementing detection and mitigation techniques. Artificial intelligence is transforming education through automated evaluation, personalized feedback, and predictive insights; however, its adoption in teacher preparation must consider equity, ethics, and algorithmic transparency. While prior research underscores AI’s potential to enhance decision-making and individualized learning, it also reveals risks of bias, injustice, and ethical concerns. To support responsible adoption in preservice teacher curricula, guidelines incorporating fairness are essential. Using the HSLS dataset, classification models were trained, tested, and assessed with fairness measures such as ABROCA, AOD, and EOD. Bias reduction techniques, including resampling and reweighting, were applied to ensure equitable outcomes. Results showed baseline models exhibited gender bias, while mitigation strategies improved predictive fairness across indicators.
  Keywords: Artificial Intelligence in Education; Teacher Education; Algorithmic Bias; Fairness Metrics; Ethical AI; Bias Mitigation; Predictive Analytics; Data-Driven Decision Making; Educational Equity.
  DOI: 10.1504/IJTPM.2027.10077429
   
  
• Application of Artificial Intelligence in the Design of Navigation Interfaces for Smart Systems  
  by Hongfeng Dong, Chuanming Ma, Rui Zhang 
  Abstract: This study examines the application of artificial intelligence (AI) in developing intelligent system navigation interfaces. Through the integration of machine learning models with semantic navigation techniques and data preprocessing, the proposed framework enhances user satisfaction, efficiency, and adaptability. When compared to conventional systems, experimental results show notable gains in accuracy, response speed, and usability. Conventional navigation interfaces employ static techniques that are ineffective in dynamic settings. AI-powered methods provide real-time, flexible solutions. Interface automation has been enhanced by earlier research in Programming by Demonstration and optimisation models; however, flexibility has been lacking. According to recent studies, AI can overcome these constraints. The framework encompasses system architecture, data preprocessing, and AI model building, combining reinforcement and supervised learning for reliable navigation. The AI-powered technology decreased navigation errors by more than 20% and increased accuracy by 15%. User tests verified increased satisfaction and quicker work completion.
  Keywords: Artificial Intelligence (AI); Smart Systems; Navigation Interface Design; Human-Computer Interaction (HCI); Intelligent User Interfaces; System Optimisation.
  DOI: 10.1504/IJTPM.2026.10077561
   
  
• Exploring Cryptocurrency Regulation in India: assessing the Potential Impact of Central Bank Digital Currency  
  by Kiruthika Dhanapal 
  Abstract: Cryptocurrencies are considered a category of virtual currencies designed for peer-to-peer transaction payments and are electronic in origin. Due to their decentralized nature, cryptocurrencies are becoming more and more accepted across a wide range of businesses and nations. Countries around the world treat cryptocurrencies in various ways.. As of July 2025, India has not implemented any regulations to govern cryptocurrencies. The effect of a Central Bank Digital Currency (CBDC) on cryptocurrency regulation in India is significant. In this background, the author of the research paper would explore the emerging regulatory landscape of cryptocurrencies and further delve into the adoption of CBDC and its potential impact with challenges in India. The author would evaluate the possibility of coexistence between cryptocurrencies and CBDC in India with its pros and cons. It is the need of the hour for the Indian Government to come up with a balanced approach to cryptocurrency regulation.
  Keywords: Cryptocurrencies; CBDC; India; Legal status; Coexistence; Bitcoin; Central Bank Digital Currency; Decentralisation; e-rupee; Digital Rupee.
  DOI: 10.1504/IJTPM.2027.10077562
   
  
• Integrating Emerging Technologies for Sustainable Tourism Infrastructure: Innovation  
  by Ayushi Sharma, Rakesh Kumar, Rajesh Singh, Namrata Singh, Arun Kumar, Damodharan Varada Sowmya 
  Abstract: This paper seeks to investigate the recent technologies in sustainable tourism. This paper will discuss how smart technologies improve sustainable tourism infrastructure through the application of innovation-based planning and operational efficiency. It mentions tools like blockchain, AI, Internet of Things (IoT), big data analytics, and immersive digital platforms which help to streamline resource management through the ability to track energy, water, waste, and visitor flows in real-time. Nevertheless, such challenges as high prices, inaccessibility to the small business, and governance concerns continue to exist, and it is necessary to be more inclusive in planning and policy support. The paper highlights that governance, technology, and stakeholder engagement strategies coordinated are essential to developing the infrastructure of sustainable tourism, and necessitates the investment in digital capacity and governance frameworks to assure the fairness of the benefits. The paper offers valuable information to professional and tourism department and policy maker.
  Keywords: Smart technologies; Innovation; Sustainable Tourism Infrastructure.
  DOI: 10.1504/IJTPM.2026.10077564
   
  
• Economic Upliftment through Microfinance: a Sustainable Model for Rural Development Policy  
  by Ankita Singh 
  Abstract: creates jobs, and increases financial inclusion. This study examines microfinances effects on household income, employment, financial stability, and womens empowerment. A five-year longitudinal study evaluated data from 500 rural micro-entrepreneurs, small-scale farmers, and women-led companies. Difference-in-difference (DID), Bayesian hierarchical modelling, and regression analysis assessed microfinance success. Microfinance empowered women as entrepreneurship increased by 133.3% and the number of women-owned firms increased from 120 to 280. Employment rose from 46.8% to 65.1%, demonstrating microfinances role in job growth. The high 89.4% loan payback percentage encouraged good financial behaviour in both circumstances. Regression study found a substantial positive connection (R2 = 0.69) between microfinance and economic stability. NLP showed that 85% of sentiment analysis participants thought microfinance increased living standards, financial freedom, and business development. However, high interest rates (28.4%) and loan delivery delays (21.7%) were mentioned. After 18 months, the Kaplan-Meier survival analysis showed loan sustainability difficulties as repayment probability dropped to 72.6%. These data show how microfinance improves financial inclusion, economic resilience, gender equity, and financial competency. Fintech, loan arrangement simplicity, and financial literacy programs could help microfinance promote sustainable rural development.
  Keywords: Microfinance; Financial Inclusion; Rural Development; Women's Empowerment; Economic Stability; Natural language processing (NLP); Difference-in-Difference (DID).
  DOI: 10.1504/IJTPM.2027.10077782
   
  
• Mapping Research Trends in Artificial Intelligence and Machine Learning for Managerial Decision-Making: a Bibliometric Analysis (2015-2024)  
  by Sweeta Agrawal, Indrajit Doddanavar, Nisha K. Kumar, Kevin M. Rivera, Shubhangi Rote 
  Abstract: Artificial intelligence (AI) and machine learning (ML) have increasingly transformed managerial decision-making and business process innovation. This bibliometric study analyzes 2,864 Scopus indexed research articles published between 2015 and 2024 to map the intellectual structure, thematic evolution, and collaboration patterns in AI- and ML-driven management research. Using VOSviewer and Biblioshiny, the study identifies influential authors, sources, institutions, and emerging research clusters. The findings reveal the growing role of AI and ML in decision-making, organizational behaviour, and advanced applications such as deep reinforcement learning and Generative Adversarial Networks in healthcare and education. The study contributes by addressing conceptual and methodological gaps and highlighting emerging intersections of AI and ML with blockchain, quantum computing, and bioinformatics for future managerial decision-making.
  Keywords: Artificial Intelligence; Machine Learning; Bibliometric Analysis; Business Decision-Making; VOSviewer; Biblioshiny.
  DOI: 10.1504/IJTPM.2027.10078471
   
  
• Knowledge Transfer: How R&D Personnel Catalyze the Creation of High-Value Patents  
  by Yuan Gao, Rahimi Abidin, Faisal Zulhumadi 
  Abstract: This study measured the relationship between knowledge and technology transfer activities, patent awards, patent culture, and high-value patents. The data for this research was collected from R&D personnel holding formal positions in companies in Jiangsu, China. Two hundred sixteen responses were collected, and data was analysed using the partial least square structural equation model (PLS-SEM). The study found that knowledge and technology transfer activities are significant antecedents and predictors of high quality patents. Furthermore, it was also established that patent culture and rewards strengthen the relationship between knowledge and technology transfer activities and high-quality patents. The policy implications are recommended to improve the performance of R&D department employees. The study also discusses some future recommendations to contribute to knowledge.
  Keywords: High-value patents; patent culture; patent awards; R&D Personnel; patent knowledge.
  DOI: 10.1504/IJTPM.2027.10078473
   
  
• Why Do People Adopt Cryptocurrency? Examining the Effects of Perceived Risk and Perceived Value, with the Moderating Roles of Financial Literacy and Investment Experience  
  by Ragni Lund, Faheem Gilal, Agha Jahanzeb 
  Abstract: Drawing on Consumption Value Theory, this study examines the determinants of cryptocurrency adoption in Pakistan. Specifically, it investigates the effects of perceived value and perceived risk on cryptocurrency adoption, while exploring the moderating roles of financial literacy and investment experience. Data were collected from 262 individuals familiar with digital currencies. Confirmatory factor analysis (CFA) and structural equation modelling (SEM) were conducted using AMOS to test direct relationships, while moderation effects were assessed using Hayes PROCESS approach in SPSS. The results indicate that perceived value has a strong and significant positive effect on cryptocurrency adoption, while perceived risk also shows a significant positive association. Among the moderators, investment experience significantly moderates the relationship between perceived risk and adoption but does not moderate the perceived valueadoption link. Financial literacy does not moderate either relationship. These findings suggest that experienced investors are more responsive to risk perceptions, whereas financial literacy does not significantly shape cryptocurrency adoption decisions in this context.
  Keywords: Cryptocurrency adoption; perceived value; perceived risk; investment experience; and financial literacy.
  DOI: 10.1504/IJTPM.2027.10078879
   
  
• Thematic Insights into Microinsurance 2.0: Technology as Driver of Financial Inclusion in India  
  by Divya Jain, Prabhat Mittal 
  Abstract: Microinsurance has a significant impact on achieving financial inclusion and assisting in reaching the SDGs on alleviating poverty, improving health, and economic resilience. While microinsurance is designed to shield low-income populations from economic shocks with affordable premiums and customized coverage, adoption in India is still low due to lack of awareness, affordability, and operational inefficiencies. This paper addresses these issues and stresses the urgency of innovative product development, regulatory change, collaboration of insurers with governments and organizations, and groundwork structural partnerships. It further explores the importance of technology, specifically mobile and internet platforms, in fostering accessibility, transparency, and trust in microinsurance. The findings with actionable recommendations to address gaps in financial systems of underserved populations of the communities are a step forward in understanding the impact of technology on microinsurance This is the gap this study attempts to fill in the debate on effectiveness of microinsurance in sustainable development.
  Keywords: Microinsurance; Blockchain; financial inclusion; microfinance.
  DOI: 10.1504/IJTPM.2027.10079571
   
  
• Platformisation Strategies: From Pipelines to Platform Businesses  
  by Hye Young Kang  
  Abstract: Digital platforms have fundamentally reshaped how firms capture value. Yet existing literature assumes platform-based models are in place from the outset, overlooking the growing phenomenon of platformisation the strategic transformation of incumbent pipeline businesses into platform models. Despite its prevalence, platformisation remains theoretically underexplored. This paper addresses this gap by proposing a conceptual framework of four distinct platformisation strategies grounded in dynamic capabilities theory. Unlike prior platform research focused on managing established platforms, we theorise how viable platformisation pathways are conditional on the interplay between a firms internal resource leveragability and its external competitive environment offering a novel contingency-based typology of pipeline-toplatform transition strategies. Drawing on case anecdotes, we demonstrate how each strategy operates under distinct boundary conditions. Our framework contributes to platform theory and informs policy by highlighting that platformisation is not uniform, suggesting the need for context-sensitive regulatory approaches, particularly in areas such as digital governance and competition policy.
  Keywords: Digital Platforms; Platformization; Transitioning from Pipelines to Platforms; Strategic Transformation.
  DOI: 10.1504/IJTPM.2027.10080041
   
  
• Decoding Quick Commerce Adoption in India using A Fuzzy DEMATEL?Fuzzy AHP Approach: Interplay of Drivers, Barriers, and Consumer Intent  
  by Vijay Kumar Jain, Shrish Singh, Shivendra Singh, Mohd Salman Shamsi, Anu Gupta, Pankaj Kumar 
  Abstract: Abstract: Rising consumer expectations, greater use of digital media, and a growing demand for convenience have accelerated the growth of quick commerce in India and transformed the retail landscape. Consequently, Quick Commerce has broken shopping patterns and consumer engagement with brands. Based on this phenomenal growth, this study seeks to identify and prioritise the factors that have led to the emergence of Q-commerce. This study employed the fuzzy analytic hierarchy process and Fuzzy Decision-Making Trial and Evaluation Laboratory to determine the relationships and priorities of the factors that result in the adoption of Quick commerce by consumers. The results demonstrate that the most significant factors driving the adoption of quick commerce are convenience, sense of control, technological advancement, changing consumer behaviour, and competitive pricing. The above outcomes provide marketers with valuable data that they can incorporate to build strategies based on extraordinarily fast delivery, new digital interfaces, disruptive custom experiences, and unique offers.
  Keywords: Convenience Orientation; Real-Time Personalisation; Micro-Fulfilment Centres; Retail Digitalisation; Green Logistics; Hyperlocal Delivery; Emotional Gratification.
  DOI: 10.1504/IJTPM.2027.10080177
   
  
• Toward Human-Centric Digital Learning in the Public Sector: A Socio-Technical Mid-Range Model  
  by Pradip Kumar Nanda, Debasis Dash, Rayees Farooq 
  Abstract: We investigated digital learning, soft skills development, and socio-technical system integration within Indian public sectors, addressing a critical gap in digital HRD theory which has predominantly focused on corporate contexts. Drawing on 36 semi-structured interviews with HR leaders, L&D specialists, and managers across diverse public units, reflexive thematic analysis identified five mechanisms driving human-centric digital learning adoption. The resulting Human-Centric Digital Learning model comprises five core elements: strategic mindset shifts, co-designed learning structures, human-focused digital practices, audit-ready autonomy, and psychological safety. The framework explains how people-technology alignment facilitates adoption while bureaucratic complexity and uneven digital literacy moderate outcomes. We offer practioners guidelines for integrating soft skills, inclusive methods, and collaborative approaches within compliance-driven environments. The study advances HRD scholarshipby defining public-sectorspecific constructs, articulating bureaucracys moderating role, and presenting testable propositions. We reframedigital HRD from mere technology deployment into a human-centered system while meeting rigorous audit and compliance.
  Keywords: Public Sector HRM; Learning Organisation; Digital Transformation; Soft Skills Development.
  DOI: 10.1504/IJTPM.2027.10080233
   
  
• The Silent Risk in Digital Pathology: Misuse of AI-Processed Health Data and India?s Socio- Legal Challenges  
  by Suman Mohanty, Aranya Nath, Tulishree Pradhan, Sankalp Sundaray, Gautami Chakravarty, Sneha Maji, Surabhi Surabhi, Shriya Badgaiyan, Srishti Roy Barman, Sriman Arpit Mohanty, Usha Saha 
  Abstract: Digital pathology transforms diagnostic medicine by converting glass slides into whole-slide images and integrating AI for predictive analytics. This shift raises significant socio-legal concerns in India, extending beyond privacy issues to encompass AI governance, data aggregation, and secondary data usage. The Digital Personal Data Protection Act, 2023 provides a foundational legal framework but inadequately addresses health data risks, algorithmic bias, and accountability in AI systems. A critical examination of this Act, along with the Information Technology Act, the Ayushman Bharat Digital Mission, privacy considerations, and comparisons with EU regulations and HIPAA, highlights the need for India to create a specialised AI governance framework in healthcare that promotes informed consent, human oversight, and safeguards against discrimination.
  Keywords: Digital Pathology; AI-Processed Health Data; Data Privacy; Protection; Digital Personal Data Protection Act (DPDP) 2023.
  DOI: 10.1504/IJTPM.2027.10080297
   
  
• Technological development and economic resilience: a comparative analysis of G7 and BRICS countries under global uncertainty  
  by Bella O. Khashir, Elvira A. Gatina, Gulnaz F. Galieva, Alexandra A. Chudaeva, Andrey V. Yakovlev, Olga V. Shugaeva 
  Abstract: This study addresses rising global economic uncertainty and examines the role of technological development and digitalisation in enhancing the resilience of the G7 and BRICS economies to external shocks. The research aims to analyse socio-economic and technological risks affecting national economies and to determine the role of technological policy and institutional mechanisms in mitigating them. The study conducts a comparative analysis of the key risks faced by the G7 and BRICS countries, explores differences in their economic adaptation mechanisms to global crises and turbulence, and identifies factors that shape the prospects for technological leadership in BRICS countries within the evolving global economic architecture. The research methodology includes statistical and comparative analysis, the abstract-logical method, and graphical analysis. The results confirm the uneven manifestation of global risks across the G7 and BRICS countries and demonstrate that higher levels of innovation and digitalisation significantly reduce the depth of economic downturns during crises.
  Keywords: global economic uncertainty; technological development; digitalisation; resilience; risks; adaptation mechanisms.
  DOI: 10.1504/IJTPM.2027.10080317
   
  
• Collaborative Governance in Seed Funding and Seed Capital for Digital Startups  
  by Abdan Syakuro Lubis, Chandra Wijaya, Eko Sakapurnama 
  Abstract: This study examines the role of collaborative governance in supporting the development of digital startups through companies, government, venture capital, incubators, accelerators, and collaborative support. Collaborative governance, which involves various stakeholders such as government, universities, and the private sector, creates an ecosystem that supports innovation and strengthens the chances of success for digital startups. The researchers interviewed 15 informants who were representatives of government and private elements. Furthermore, the researchers formed themes coding with the NVIVO 12 application. The results of this study highlight the importance of cross-sector involvement, regulatory simplification, and increasing the efficiency of administrative processes to strengthen the digital startup ecosystem. In addition, collaboration with universities and large companies allows effective transfer of knowledge and technology. However, challenges like access to capital and regulatory constraints need to be overcome. This study contributes significantly to the literature on the role of collaborative governance in digital startup ecosystem development.
  Keywords: Collaborative governance; digital startup; seed funding; seed capital; early stages.
  DOI: 10.1504/IJTPM.2027.10080338