Blockchain-driven digital transformation in the housing industry DOI Creative Commons
Anniina Saari, Seppo Junnila, Jussi Vimpari

et al.

Digital Transformation and Society, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 26, 2024

Purpose The real estate industry is often highlighted as a significant beneficiary of blockchain-driven digital transformation (DT). This paper unravels blockchain’s role in driving rapid DT the Finnish housing sector and its removal after market entry. Design/methodology/approach four-year longitudinal study used 35 semi-structured interviews. Findings Blockchain was crucial early industry-wide DT, fostering innovation through shared value creation, delivery capture while supporting collaboration enhancing processes. findings largely support theoretical benefits reducing intermediaries, automating processes, minimizing errors, transparency addressing data silos transactions. However, limitations – like need for specialised expertise, scalability issues centralisation tendencies emerged ultimately outweighed benefits, leading to blockchain abandonment. Regulatory commitment, contrary expectations about regulatory barriers, commitment substantially boosted activities. While can spark transformation, maintaining momentum amid evolving developments may require more than alone offer. Practical implications drive early-stage even traditional industries estate, intermediary reliance, manual inefficiencies errors. it does not guarantee long-term decentralisation initially promised depends on off-chain governance. Originality/value first empirical examining drivers full-scale DT. It also amongst explore successful based rare study, extending insights into initial impact subsequent beyond firm level.

Language: Английский

Adapting to Industry 4.0: evaluating SMEs preparedness through a comprehensive digital readiness assessment maturity model by validating stakeholders’ perceptions DOI
Love Kumar,

Rajiv Kumar Sharma

Business Process Management Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Purpose In the digital transformation era, small and medium-sized enterprises (SMEs) in India face both opportunities challenges adopting Industry 4.0 (I4.0) technologies. To ensure successful I4.0 implementation, study aims to develop a readiness assessment model based on stakeholders’ perceptions. Design/methodology/approach This research adopts mixed-method framework comprehensive maturity assess of SMEs. The uses systematic literature review comprehend solution dimensions, followed by empirical validation dimensions through questionnaire survey hypothesis formulation. Findings is applied companies working four SME sectors, namely, automobile, machinery equipment, pharmaceutical agriculture. findings highlight necessity for sector-specific strategies enhance capabilities, addressing unique leveraging growth. Research limitations/implications proposed model, developed 14 41 prerequisites six levels, enables respondents SMEs make factual assessments their initiate efforts toward implementation. Originality/value uniquely combines expert insights, multi-dimensional rigorous statistical provide robust conceptual navigate journey effectively.

Language: Английский

Citations

1
How does a fair competitive policy affect manufacturing enterprises' digital transition? Evidence from the implementation of the fair competition review system DOI
Hao Li, He Wang

Finance research letters, Journal Year: 2025, Volume and Issue: unknown, P. 107189 - 107189

Published: March 1, 2025

Language: Английский

Citations

0
Politique Institutionnelle et Rôle du Management Digital de la Recherche au Sein de l’Université DOI Creative Commons

Driss Laachari,

Adil Faraj

SHS Web of Conferences, Journal Year: 2025, Volume and Issue: 214, P. 01012 - 01012

Published: Jan. 1, 2025

Cet article explique le rôle de la politique institutionnelle (Centres recherche) en tant que programmeur d'études stratégiques visant à résoudre les problèmes recherche, plus, trouver solutions effectives au niveau recherche universitaire, comme, il vise discuter profondeur responsabilité ses centres planifier management digital (MDR) sein des universités, veillant sur son application par futurs chercheurs dans l'enseignement supérieur. Méthodologiquement, cette étude se base méthode hypothético-déductive, qui prône l’approches qualitative et quantitative utilisant logiciel SPSS.A cet égard, un échantillon 135 interrogés, dont 20 25 doctorants l’université Chouaib Doukkali El Jadida, même pour d’Ain Chock Casablanca, centre Sérums er Vaccin- Ex pasteur (CSV) national scientifique technique (CNRST Rabat) l’énergie sciences techniques nucléaires (CNESTEN) avec nombre 15 interviewés chacun. Les résultats révèlent las acteurs concernés accordent peu d’importance MDR projets leur demeure significative.

Citations

0
Using Artificial Intelligence to Advance the Research and Development of Orphan Drugs DOI Creative Commons

Carla Irissarry,

Thierry Burger‐Helmchen

Businesses, Journal Year: 2024, Volume and Issue: 4(3), P. 453 - 472

Published: Sept. 9, 2024

While artificial intelligence has successful and innovative applications in common medicine, could its application facilitate research on rare diseases? This study explores the of (AI) orphan drug research, focusing how AI can address three major barriers: high financial risk, development complexity, low trialability. paper begins with an overview applications, defining key concepts providing a background regulatory framework AI’s role medical research. Next, it examines lower risks by streamlining discovery processes, analyzing complex data, predicting outcomes to improve our understanding diseases. then enhance clinical trials through simulations virtual trials, compensating for limited patient populations available disease Finally, discusses broader implications integrating development, emphasizing potential accelerate treatment success rates, highlights need ongoing innovation support maximize benefits AI-driven healthcare. Based those results, we discuss traditional AI-powered business industry.

Language: Английский

Citations

4
Artificial Intelligence and Internet of Things Integration in Pharmaceutical Manufacturing: A Smart Synergy DOI Creative Commons

Reshma Kodumuru,

S. Sarkar,

Varun Parepally

et al.

Pharmaceutics, Journal Year: 2025, Volume and Issue: 17(3), P. 290 - 290

Published: Feb. 22, 2025

Background: The integration of artificial intelligence (AI) with the internet things (IoTs) represents a significant advancement in pharmaceutical manufacturing and effectively bridges gap between digital physical worlds. With AI algorithms integrated into IoTs sensors, there is an improvement production process quality control for better overall efficiency. This facilitates enabling machine learning deep real-time analysis, predictive maintenance, automation—continuously monitoring key parameters. Objective: paper reviews current applications potential impacts integrating concert technologies like cloud computing data analytics, within sector. Results: Applications discussed herein focus on industrial analytics quality, underpinned by case studies showing improvements product reductions downtime. Yet, many challenges remain, including ethical implications AI-driven decisions, most all, regulatory compliance. review also discusses recent trends, such as drug discovery blockchain traceability, intent to outline future autonomous manufacturing. Conclusions: In end, this points basic frameworks that illustrate ways overcome existing barriers increased efficiency, personalization, sustainability.

Language: Английский

Citations

0
Healthcare 4.0 value creation – The interconnectedness of hybrid value propositions DOI Creative Commons
Márta Aranyossy, Péter Halmosi

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 208, P. 123718 - 123718

Published: Sept. 8, 2024

Language: Английский

Citations

1
The Impact of Emerging Technologies on Pharmaceutical Process Design and Optimization in Africa: A Review DOI Open Access

Rachael Olakunmi Ogunye,

Donatus Chigozie Egwuatu,

Peter Chidendu Anene

et al.

Journal of Pharmaceutical Research International, Journal Year: 2024, Volume and Issue: 36(9), P. 46 - 60

Published: Aug. 29, 2024

Emerging technologies present a transformative potential for pharmaceutical process design and optimization, particularly within Africa’s evolving industries. The purpose of this review is to explore the impact emerging digital technologies, including Artificial Intelligence (AI), Machine Learning (ML), Internet Things (IoT), Robotics, on optimization African context. Data was collected through comprehensive literature scholarly articles, industry reports, case studies. By analyzing recent advancements studies, identifies key areas where technology reshaping production processes product development. It highlights benefits, increased efficiency, improved accuracy, minimized waste. However, also emphasizes significant challenges, infrastructural limitations, regulatory barriers, disparities in access that can hinder adoption these Africa. An assessment their manufacturing drug costs, quality, safety reveals enhance operations significantly. findings suggest while offer substantial opportunities improving operations, successful integration requires strategic approach involves stakeholder cooperation, infrastructure improvements, targeted capacity enhancement initiatives continent’s industry. This offers broad overview current state technological sector Africa leveraging drive sustainable improvements development process.

Language: Английский

Citations

0
Blockchain-driven digital transformation in the housing industry DOI Creative Commons
Anniina Saari, Seppo Junnila, Jussi Vimpari

et al.

Digital Transformation and Society, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 26, 2024

Purpose The real estate industry is often highlighted as a significant beneficiary of blockchain-driven digital transformation (DT). This paper unravels blockchain’s role in driving rapid DT the Finnish housing sector and its removal after market entry. Design/methodology/approach four-year longitudinal study used 35 semi-structured interviews. Findings Blockchain was crucial early industry-wide DT, fostering innovation through shared value creation, delivery capture while supporting collaboration enhancing processes. findings largely support theoretical benefits reducing intermediaries, automating processes, minimizing errors, transparency addressing data silos transactions. However, limitations – like need for specialised expertise, scalability issues centralisation tendencies emerged ultimately outweighed benefits, leading to blockchain abandonment. Regulatory commitment, contrary expectations about regulatory barriers, commitment substantially boosted activities. While can spark transformation, maintaining momentum amid evolving developments may require more than alone offer. Practical implications drive early-stage even traditional industries estate, intermediary reliance, manual inefficiencies errors. it does not guarantee long-term decentralisation initially promised depends on off-chain governance. Originality/value first empirical examining drivers full-scale DT. It also amongst explore successful based rare study, extending insights into initial impact subsequent beyond firm level.

Language: Английский

Citations

0