Ghaleb J. Sweis

@ju.edu.jo

University of Jordan

Ghaleb J. Sweis


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https://researchid.co/gsweis
52

Scopus Publications

3270

Scholar Citations

27

Scholar h-index

46

Scholar i10-index

Scopus Publications

  • Key enablers affecting blockchain technology adoption in construction industry: a bibliometric analysis and PESTLE framework approach
    Niveen Mazen Alsayyed, Bara Allan, Rateb Sweis, Ghaleb Sweis
    Journal of European Real Estate Research, 2026
    Purpose This study aims to explore key enablers affecting the adoption of Blockchain Technology (BCT) in the construction industry (CI) and to rank them based on their importance as well as to investigate their differences in opinions based on the gender as well as based on the job profile to find effective ways of successful adoption and implementation of BCT in Jordan. Design/methodology/approach An exploratory research perspective is applied to identify the critical enablers of BCT in the CI through an extensive literature review by conducting a bibliometric analysis. A questionnaire was constructed based on a comprehensive literature review to rank BCT enablers that were clustered based on the Political, Economic, Social, Technological, Legal and Environmental (PESTLE) framework by the relative importance index (RII) index. Moreover, the exploratory factor analysis (EFA) and T-test were the statistical tools to test the first hypothesis, while Kruskal–Wallis test to test the second hypothesis. Findings This study revealed the followings: (1) The total number of key enablers are 12 enablers clustered within the framework. (2) The PESTEL framework becomes Environmental, Political, Legal, Technological and Sociocultural (EEPLTS) based on the RII values ranked in the enablers. (3) There are no statistical differences based on gender toward the adoption of the BCT in the Jordanian CI except for the Legal enablers based on EFA and T-test. (4) There are no differences between the opinions based on the job profile regarding the ranking of the importance of the enablers. Originality/value This study identifies key enablers for blockchain adoption in construction, analyzes their importance by gender and job profile, and proposes a modified PESTLE framework based on their ranking.
  • Assessing the challenges affecting blockchain adoption in the Jordanian construction industry: PESTEL framework approach
    Bara Allan, Rateb Sweis, Ghaleb Sweis
    Built Environment Project and Asset Management, 2026
    Purpose This study aims to examine the challenges that the construction industry (CI) practitioners face in adopting blockchain technology (BCT) in the Jordanian CI. Design/methodology/approach Exploratory research perspective is applied to identify the challenges of BCT in the CI by conducting a bibliometric analysis. Challenges are clustered via the political, economic, sociocultural, technological, environmental and legal (PESTEL) framework and to investigate the inter-linkages between the challenges, exploratory factor analysis (EFA) is applied. Convenience sampling is used with only first-grade classification to rank the challenges based on their importance index from the perspective of three Jordanian construction stakeholders; architects, consulting engineers and civil engineers. Findings The study identified that the primary challenges facing CI practitioners in adopting BCT are associated with the technological cluster. These include lack of information technology (IT) infrastructure, data validation, data privacy, scalability risks, data security and hesitation to integrate the new systems. Originality/value This paper presents a novel PESTEL framework tailored for the adoption of BCT in the CI. This paper aims to address a research gap by systematically identifying and ranking 16 key challenges based on the PESTEL framework. Moreover, it offers insights and practical guidance for overcoming the challenges.
  • Enhancing workforce retention in the engineering sector: machine learning-driven turnover prediction models
    Rania Sawalma, Ghaleb Jalil Sweis, Waleed Abu-Khader, Mujahed Thneibat, Muhammad T. Hatamleh, et al.
    Engineering Construction and Architectural Management, 2026
    Purpose Employee turnover continues to pose a significant challenge for engineering organizations, particularly in emerging economies where talent shortages and project-based work structures heighten retention pressures. While Machine Learning (ML) techniques have demonstrated strong potential in forecasting turnover, empirical benchmarks tailored to specific sectors remain scarce, especially within developing regions. The purpose of this study is to design and rigorously validate ML models capable of predicting voluntary turnover intention in Jordan's engineering sector, and to translate these predictive insights into practical, evidence-based retention strategies. Design/methodology/approach Data were gathered through a structured questionnaire administered to 241 employees across engineering firms in Jordan. Several supervised ML classifiers: Logistic Regression, Random Forest, Extra Trees and LightGBM, were trained and evaluated using a holdout validation strategy (70/30 split) and a suite of performance metrics. Prior to model development, the reliability and construct validity of the survey instrument were thoroughly assessed. Findings LightGBM emerged as the most accurate prediction model, achieving an accuracy of 75.3%, a recall of 81.4% and an F1 score of 79.6%. Key predictors of turnover included organizational commitment, training opportunities and career development. This indicates that ensemble-based models delivered the strongest predictive performance. Organizational Commitment (OC), career development pathways and access to training opportunities emerged as the most influential determinants of turnover intention. Originality/value This study contributes to a validated turnover-related dataset specific to the engineering sector in an emerging economy, a robust ML benchmarking framework grounded in cross-validation and a translation of predictive outputs into actionable guidelines to support strategic HR decision-making.
  • The challenges of adopting emerging technologies in the AEC industry a literature review and bibliometric analysis
    Mohammad O. Eriqat, Rateb J. Sweis, Ghaleb J. Sweis
    Construction Innovation, 2025
    Purpose This paper aims to identify and provide a theoretical explanation for the barriers that hinder the adoption of emerging technologies in the architecture, engineering and construction industry, irrespective of the company’s size, specialization or geographical location. In addition, the paper proposes potential areas for future research in this domain. Design/methodology/approach A list of barriers hindering the adoption of emerging technologies was identified and clarified using a systematic literature review of various scientific sources. Findings Twenty-five barriers were recognized and explained and some suggestions for future research studies were provided. Research limitations/implications The barriers related to a specific country or region or to a specific technology were excluded. Originality/value By providing a deeper comprehension of the barriers hindering the adoption of emerging technologies, this review is expected to encourage their adoption in the industry. Furthermore, it could prove valuable in devising effective strategies for the successful implementation of these technologies.
  • Enhanced Construction Project Duration Estimation Using Artificial Neural Networks: Initial Design and Planning Stages
    Heba Al-Attar, Ghaleb Sweis, Bashar Tarawneh, Waleed Abu-Khader, Leen Haddad, et al.
    Construction Economics and Building, 2025
    Maintaining efficiency and quality control during the early phases of construction projects depends on accurate duration estimation. However, because there is not enough data available in the initial stages of project planning, traditional methodologies suffer. To address these challenges, this study presents an innovative approach using artificial neural networks (ANNs) through Python. This method offers reliable predictions for early-stage duration estimation. ANN models were created and validated with 53 design parameters using data from 100 different construction projects in Jordan. Furthermore, the study refined the models to 43 parameters using a questionnaire-driven approach. The average duration estimation accuracy of the ANN models was 90% during the initial stage and 95% during the planning stage, demonstrating their great accuracy. Its uniqueness comes in its application of ANN to early-stage building, an area that has not been extensively studied in the literature to date, and in its demonstration that reliable predictions may be generated in the absence of abundant data. This study demonstrates ANN's effectiveness in enhancing early-stage construction planning by providing stakeholders with a more accurate duration estimation tool than traditional methods. The findings contribute significantly to improving decision-making and project planning in the early phases.
  • A Structural Equation Model of Digitalization Barriers in the Construction Industry: Evidence from Jordan
    Rawan Al Omari, Ghaleb Sweis, Waleed Abu-Khader, Rateb Sweis
    Journal of Structural Design and Construction Practice, 2025
  • Awareness and willingness to adopt Construction 4.0 technologies: evidence from Jordan
    Zaid Alwashah, Ghaleb Jalil Sweis, Husam Abu Hajar, Waleed Abu-Khader, Rateb Sweis
    Engineering Construction and Architectural Management, 2025
    PurposeThis research endeavors to assess the extent of awareness concerning Construction 4.0 technologies and ascertain the willingness to adopt these technologies within the construction industry in Jordan.Design/methodology/approachThe quantitative method was adopted by reviewing relevant literature to compile a list of Industry 4.0 techniques and their application in the construction industry. A questionnaire was distributed to respondents from various institutions and companies in Jordan to achieve the desired study objectives. The questionnaire was analyzed with SPSS using statistical tests such as mean score, relative importance index and the Wallis H test.FindingsAfter collecting the quantitative data, the results showed that the majority of respondents have low awareness of Construction 4.0 technologies and greater awareness of some technologies like social media, Building information modeling (BIM) and the Internet of Things. In addition, the study showed a high willingness among the Jordanian respondents to adopt new technologies such as BIM, simulation tools and models, 3D printing and drones.Originality/valueThis study presents insights and data regarding the current state of knowledge and advancements in Jordan related to Construction 4.0 concepts and techniques. Additionally, it explores the industry’s willingness to adopt these technologies.
  • The implementation of project management knowledge areas in construction industry: the case of Iraq
    Reem Al-Halboosi, Ghaleb J. Sweis, Waleed Abu-Khader, Yazan Amer, Bara Allan, et al.
    Construction Innovation, 2025
    Purpose This study aims to determine whether each project management knowledge area is applied sufficiently in the construction industry and to explore whether perceived experience affects the extent of application of the knowledge areas. Moreover, the knowledge areas were ranked based on their mean values, and the corresponding standard deviations were also extracted. Design/methodology/approach A structured questionnaire was distributed to a purposive sampling, and the data were analyzed through demographic description, descriptive analysis, confirmatory factor analysis and structural equation modelling. Moreover, knowledge areas were ranked based on the mean and standard deviation values were extracted. Findings The implementation of project management knowledge areas in the Iraqi construction industry is insufficient. Experience has a statistically significant positive impact on the extent of application of all project management knowledge areas. The three most affected knowledge areas are “risk management,” “schedule management” and “quality management”. Practical implications Construction companies should tailor specific training programs aimed at improving the competencies of construction professionals. Important areas to focus on are communication, managing project details and using resources effectively. Additionally, the results can guide policymakers in updating public construction project requirements to mandate the adoption of comprehensive project management frameworks, thus improving project outcomes at the national level. Originality/value This study uniquely focuses on exploring the project management knowledge areas and the perceived understanding of the degree of implementation of project management knowledge. Moreover, it sheds light on the highest-ranked most affected knowledge areas in Iraq in particular and in developing countries in general.
  • The impact of organisational learning capability on organisational innovation in the Jordanian pharmaceutical firms the mediating role of job satisfaction
    Areej Al Wedyan, Bader Yousef Obeidat, Rateb Sweis, Ghaleb Sweis, Zaid Ziyadat, et al.
    International Journal of Knowledge and Learning, 2025
  • Proposed framework for medication delivery system in the Jordanian public health sector
    Ayah Elshebli, Ghaleb Sweis, Ahmad Sharaf, Ghaith Al Jaghbeer
    BMC Medical Informatics and Decision Making, 2024
  • Forecasting demand in the residential construction industry using machine learning algorithms in Jordan
    Farouq Sammour, Heba Alkailani, Ghaleb J. Sweis, Rateb J. Sweis, Wasan Maaitah, et al.
    Construction Innovation, 2024
  • Managing future urbanization growth patterns using genetic algorithm modeling
    Sajeda Al-Hadidi, Ghaleb Sweis, Waleed Abu-Khader, Ghaida Abu-Rumman, Rateb Sweis
    Engineering Construction and Architectural Management, 2024
  • Investigating building information modelling (BIM) and lean construction: the potential BIM-lean interactions synergy and integration in the Jordanian construction industry
    Mohammad Omar Aburumman, Rateb Sweis, Ghaleb J. Sweis
    International Journal of Lean Six Sigma, 2024
  • Challenges to adopt digital construction technologies in the Jordanian construction industry
    Zaid Alwashah, Ghaleb J. Sweis, Husam Abu Hajar, Waleed Abu-Khader, Rateb J. Sweis
    Construction Innovation, 2024
  • Predicting construction cost index using fuzzy logic and machine learning in Jordan
    Heba Al Kailani, Ghaleb J. Sweis, Farouq Sammour, Wasan Omar Maaitah, Rateb J. Sweis, et al.
    Construction Innovation, 2024
  • Barriers to the Adoption of Digitalization in the Construction Industry: Perspectives of Owners, Consultants, and Contractors
    Waleed Abu-Khader
    Construction Economics and Building, 2023
  • A framework to evaluate sustainable construction principles in government building projects: the case of Jordan
    Heba Ayoub, Ghaleb Sweis, Waleed Abu-Khader, Rateb Sweis
    Engineering Construction and Architectural Management, 2023
  • Factors Affecting Risk Management in Industrial Companies in Jordan
    Nadia Abu Kwaik, Rateb Sweis, Baraa Allan, Ghaleb Sweis
    Administrative Sciences, 2023
  • Exploring Blockchain-enabled smart contracts technology implementation within ready-mixed concrete plants industry in Saudi Arabia
    Naif Al Azmi, Ghaleb Sweis, Rateb Sweis, Farouq Sammour
    International Journal of Construction Management, 2023
  • Factors affecting the success of development projects of the non-governmental organizations (NGOs) in Jordan
    Bayan Tall, Sandra Matarneh, Ghaleb Sweis, Rateb Sweis, Wassim Albalkhi
    International Journal of Construction Management, 2023
  • Factors affecting the adoption of smart building projects in the Kingdom of Bahrain
    Mohamed AlMuharraqi, Ghaleb Sweis, Rateb Sweis, Farouq Sammour
    Journal of Building Engineering, 2022
  • Exploring Implementation of Blockchain for the Supply Chain Resilience and Sustainability of the Construction Industry in Saudi Arabia
    Naif Al Azmi, Ghaleb Sweis, Rateb Sweis, Farouq Sammour
    Sustainability Switzerland, 2022
  • Risk allocation in public construction projects: the case of Jordan
    Mohammed A. Hiyassat, Fatima Alkasagi, Mohammad El-Mashaleh, Ghaleb J. Sweis
    International Journal of Construction Management, 2022
  • The extent of enterprise resources planning systems’ implementation and its impact on the performance of pharmaceutical manufacturing companies
    International Journal of Logistics Systems and Management, 2022
  • Sustainability management of international development projects by International Non-Governmental Organizations: the case of INGOs working with refugees in Jordan
    Anan Samara, Rateb J. Sweis, Bashar Tarawneh, Wassim Albalkhy, Ghaleb Sweis, et al.
    International Journal of Construction Management, 2022

RECENT SCHOLAR PUBLICATIONS

  • Key enablers affecting blockchain technology adoption in construction industry: a bibliometric analysis and PESTLE framework approach
    NM Alsayyed, B Allan, R Sweis, G Sweis
    Journal of European Real Estate Research 19 (1), 90-115 , 2026
    2026
    Citations: 2
  • Enhancing workforce retention in the engineering sector: machine learning-driven turnover prediction models
    R Sawalma, GJ Sweis, W Abu-Khader, M Thneibat, MT Hatamleh, ...
    Engineering, Construction and Architectural Management, 1-20 , 2026
    2026
  • Assessing the challenges affecting blockchain adoption in the Jordanian construction industry: PESTEL framework approach
    B Allan, R Sweis, G Sweis
    Built Environment Project and Asset Management 16 (2), 357-376 , 2026
    2026
  • The implementation of project management knowledge areas in construction industry: the case of Iraq
    R Al-Halboosi, GJ Sweis, W Abu-Khader, Y Amer, B Allan, RJ Sweis
    Construction Innovation, 1-25 , 2025
    2025
  • The challenges of adopting emerging technologies in the AEC industry a literature review and bibliometric analysis
    MO Eriqat, RJ Sweis, GJ Sweis
    Construction innovation 25 (6), 1680-1706 , 2025
    2025
    Citations: 12
  • Challenges to adopt digital construction technologies in the Jordanian construction industry
    Z Alwashah, GJ Sweis, H Abu Hajar, W Abu-Khader, RJ Sweis
    Construction Innovation 25 (5), 1610-1630 , 2025
    2025
    Citations: 26
  • Predicting construction cost index using fuzzy logic and machine learning in Jordan
    H Al Kailani, GJ Sweis, F Sammour, WO Maaitah, RJ Sweis, M Alkailani
    Construction Innovation 25 (5), 1479-1500 , 2025
    2025
    Citations: 9
  • Enhanced construction project duration estimation using artificial neural networks: Initial design and planning stages
    H Al-Attar, G Sweis, B Tarawneh, W Abu-Khader, L Haddad, R Sweis
    Construction Economics and Building 25 (2), 168-191 , 2025
    2025
    Citations: 2
  • Awareness and willingness to adopt Construction 4.0 technologies: evidence from Jordan
    Z Alwashah, GJ Sweis, H Abu Hajar, W Abu-Khader, R Sweis
    Engineering, Construction and Architectural Management , 2025
    2025
    Citations: 4
  • A Structural Equation Model of Digitalization Barriers in the Construction Industry: Evidence from Jordan
    R Al Omari, G Sweis, W Abu-Khader, R Sweis
    Journal of Structural Design and Construction Practice 30 (1), 04024083 , 2025
    2025
  • The impact of organisational learning capability on organisational innovation in the Jordanian pharmaceutical firms the mediating role of job satisfaction
    AA Wedyan, BY Obeidat, R Sweis, G Sweis, Z Ziyadat, B Allan
    International Journal of Knowledge and Learning 18 (5), 463-485 , 2025
    2025
  • Proposed framework for medication delivery system in the Jordanian public health sector
    A Elshebli, G Sweis, A Sharaf, GA Jaghbeer
    BMC Medical Informatics and Decision Making 24 (1), 297 , 2024
    2024
    Citations: 2
  • Forecasting demand in the residential construction industry using machine learning algorithms in Jordan
    F Sammour, H Alkailani, GJ Sweis, RJ Sweis, W Maaitah, A Alashkar
    Construction Innovation 24 (5), 1228-1254 , 2024
    2024
    Citations: 22
  • Managing future urbanization growth patterns using genetic algorithm modeling
    S Al-Hadidi, G Sweis, W Abu-Khader, G Abu-Rumman, R Sweis
    Engineering, Construction and Architectural Management 31 (7), 2648-2668 , 2024
    2024
    Citations: 8
  • Investigating building information modelling (BIM) and lean construction: the potential BIM-lean interactions synergy and integration in the Jordanian construction industry
    MO Aburumman, R Sweis, GJ Sweis
    International Journal of Lean Six Sigma 15 (2), 400-438 , 2024
    2024
    Citations: 32
  • Barriers to the adoption of digitalization in the construction industry: perspectives of owners, consultants, and contractors
    RA Omari, G Sweis, W Abu-Khader, R Sweis
    Construction Economics and Building 23 (3/4), 87-106 , 2023
    2023
    Citations: 23
  • A framework to evaluate sustainable construction principles in government building projects: the case of Jordan
    H Ayoub, G Sweis, W Abu-Khader, R Sweis
    Engineering, Construction and Architectural Management 30 (9), 4080-4098 , 2023
    2023
    Citations: 13
  • Exploring Blockchain-enabled smart contracts technology implementation within ready-mixed concrete plants industry in Saudi Arabia
    NA Azmi, G Sweis, R Sweis, F Sammour
    International Journal of Construction Management 23 (14), 2400-2408 , 2023
    2023
    Citations: 15
  • ASSESSING THE PUBLIC AND EXPERTS’PERCEPTION TOWARDS THE PROPOSED CONGESTION PRICING SCHEME IN JORDAN
    G Al-Mawajdeh, K Jadaan, G Sweis
    Journal of Civil Engineering 14 (2), 104-116 , 2023
    2023
    Citations: 2
  • Factors affecting the success of development projects of the non-governmental organizations (NGOs) in Jordan
    B Tall, S Matarneh, G Sweis, R Sweis, W AlBalkhy
    International Journal of Construction Management 23 (10), 1756-1767 , 2023
    2023
    Citations: 14

MOST CITED SCHOLAR PUBLICATIONS

  • Delays in construction projects: The case of Jordan
    G Sweis, R Sweis, AA Hammad, A Shboul
    International Journal of project management 26 (6), 665-674 , 2008
    2008
    Citations: 977
  • Factors affecting time overruns in public construction projects: The case of Jordan
    GJ Sweis
    International journal of business and management 8 (23), 120 , 2013
    2013
    Citations: 209
  • Factors affecting construction labour productivity: a case study of Jordan
    MA Hiyassat, MA Hiyari, GJ Sweis
    International Journal of Construction Management 16 (2), 138-149 , 2016
    2016
    Citations: 180
  • Factors affecting the accuracy of cost estimate: case of Jordan
    MT Hatamleh, M Hiyassat, GJ Sweis, RJ Sweis
    Engineering, Construction and Architectural Management 25 (1), 113-131 , 2018
    2018
    Citations: 151
  • Ocrelizumab: a step forward in the evolution of B-cell therapy
    F Kausar, K Mustafa, G Sweis, R Sawaqed, K Alawneh, R Salloum, ...
    Expert opinion on biological therapy 9 (7), 889-895 , 2009
    2009
    Citations: 135
  • Factors affecting contractor performance on public construction projects
    RJ Sweis, SM Bisharat, L Bisharat, G Sweis
    Life Science Journal 11 (4), 28-39 , 2014
    2014
    Citations: 93
  • Causes and effects of accident at construction site: A study for the construction industry in Bangladesh
    S Ahmed
    International journal of sustainable construction engineering and technology … , 2019
    2019
    Citations: 89
  • Statistical analysis on the cost and duration of public building projects
    AA Abu Hammad, SMA Ali, GJ Sweis, RJ Sweis
    Journal of Management in Engineering 26 (2), 105-112 , 2010
    2010
    Citations: 87
  • Prediction Model for Construction Cost and Duration in Jordan
    AAA Hammad, SMA Ali, GJ Sweis, A Bashir
    Jordan Journal of Civil Engineering 2 (3), 250-266 , 2008
    2008
    Citations: 81
  • Exploring implementation of blockchain for the supply chain resilience and sustainability of the construction industry in Saudi Arabia
    NA Azmi, G Sweis, R Sweis, F Sammour
    Sustainability 14 (11), 6427 , 2022
    2022
    Citations: 70
  • Risk allocation in public construction projects: the case of Jordan
    MA Hiyassat, F Alkasagi, M El-Mashaleh, GJ Sweis
    International journal of construction management 22 (8), 1478-1488 , 2022
    2022
    Citations: 67
  • The impact of human resource management practices on organisational performance in construction companies in Jordan
    RJ Sweis, K Ogla, Y Abdallat, GJ Sweis, T Suifan, R Saleh
    International Journal of Business Innovation and Research 23 (4), 515-539 , 2020
    2020
    Citations: 61
  • Understanding the Causes of Material Wastage in the Construction Industry.
    GJ Sweis, A Hiari, M Thneibat, M Hiyassat, WS Abu-Khader, RJ Sweis
    Jordan Journal of Civil Engineering 15 (2) , 2021
    2021
    Citations: 55
  • Factors affecting the accuracy of cost estimate during various design stages
    TH Dandan, G Sweis, LS Sukkari, RJ Sweis
    Journal of Engineering, Design and Technology 18 (4), 787-819 , 2020
    2020
    Citations: 53
  • Factors affecting change orders in public construction projects
    JM Assbeihat, GJ Sweis
    International Journal of Applied 5 (6), 56-63 , 2015
    2015
    Citations: 52
  • The effects of training and motivating employees on improving performance of construction companies: The case of Jordan
    RJ Sweis, R Ghalion, M El-Mashaleh, I Amayreh, AS Niveen, W Al Balkhi
    International Journal of Information, Business and Management 11 (2), 179-211 , 2019
    2019
    Citations: 49
  • Critical appraisal of tocilizumab in the treatment of moderate to severe rheumatoid arthritis
    LL Hushaw, R Sawaqed, G Sweis, J Reigle, A Gopal, D Brandt, N Sweis, ...
    Therapeutics and clinical risk management, 143-152 , 2010
    2010
    Citations: 49
  • A model utilizing the artificial neural network in cost estimation of construction projects in Jordan
    DR Al-Tawal, M Arafah, GJ Sweis
    Engineering, Construction and Architectural Management 28 (9), 2466-2488 , 2021
    2021
    Citations: 48
  • Factors leading to construction projects' failure in Jordon
    DM Khlaifat, RE Alyagoub, RJ Sweis, GJ Sweis
    International Journal of Construction Management 19 (1), 65-78 , 2019
    2019
    Citations: 48
  • Assessing lean conformance by first-grade contractors in the Jordanian construction industry
    GJ Sweis, M Hiyassat, FF Al-Hroub
    Construction Innovation 16 (4), 446-459 , 2016
    2016
    Citations: 43