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Permanent URI for this collectionhttps://hdl.handle.net/20.500.14411/18
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Article Blockchain Integration for Circular Economy Adoption in Steel Construction(Emerald Group Publishing Ltd, 2026-02-25) Bilgin, Gozde; Birgonul, M. Talat; Akcay, Emre Caner; Dikmen, Irem; Demir, BerkanPurposeThe circular economy (CE) is an economic model aimed at minimizing waste and optimizing resource use by extending lifecycles through recycling, reuse, and other strategies. This shift from the traditional linear model (take-make-dispose) is crucial for a more sustainable and resilient built environment. Given its environmental impact, the steel construction industry holds significant importance in driving sustainability and CE efforts. This study aims to explore the potential of a blockchain(BC)-based framework to overcome barriers hindering the adoption of CE principles within the industrial steel construction sector, thereby promoting sustainability and circularity in the built environment.Design/methodology/approachA conceptual BC framework is proposed to enable effective recording, storing, and sharing of process-related data among stakeholders throughout the lifecycle of construction materials. The framework's validity is assessed through a focus group study conducted at a steel construction company, involving expert evaluations.FindingsExpert evaluations indicate that the BC-based framework can significantly enhance CE adoption by improving information flow, raising awareness, and fostering collaboration among ecosystem participants.Originality/valueThe study introduces an innovative application of BC technology tailored for the steel construction sector to address specific CE barriers, offering a novel approach that facilitates digital and sustainability transitions.Article Regenerating Shopping Mall Interiors through Stakeholder Engagement and Participatory Design(Emerald Group Publishing Ltd, 2026-02-10) Kocaili, Ergin Kemal; Ergun Kocaili, BuketPurposeThis paper explores how participatory design approaches contribute to the regeneration of shopping mall interiors, with a specific focus on the design and spatial configuration of public restroom areas - critical, yet often overlooked, components of user experience in commercial environments.Design/methodology/approachAdopting a case study methodology, the research combines user surveys, stakeholder interviews and spatial analysis to investigate the participatory redesign process of restroom facilities in Kentpark Shopping Mall, Ankara. The study uses both qualitative and quantitative tools to evaluate user needs and the resulting spatial changes.FindingsThe findings demonstrate that engaging multiple stakeholders - including users, maintenance staff and management - through participatory methods leads to more inclusive, functional and context-sensitive interior solutions. In particular, data gathered through participatory processes directly informed the redesign of the public restrooms, resulting in significant improvements in layout, accessibility and spatial efficiency.Practical implicationsThe study offers a replicable model for incorporating participatory design into the regeneration of commercial interior spaces. It shows how empirical data collection and stakeholder input can be translated into the actual design of wet spaces, such as public restrooms, enhancing both usability and facility performance in aging shopping malls.Originality/valueThis research contributes to the limited body of literature on participatory design in commercial interiors by foregrounding restrooms as a meaningful site of spatial regeneration. It bridges the fields of interior architecture, spatial design research and facility management.Article The "Trickle-Across" Phenomenon: Consumption-Mimicking in Emerging Markets in a Stress Environment(Emerald Group Publishing Ltd, 2025-11-17) Gungordu Belbag, Aybegum; Deligonul, Seyda Z.; Uner, Mehmet Mithat; Cavusgil, S. TamerPurpose - This study conceptualizes a novel framework called the "trickle-across" phenomenon to understand how middle-class consumers in emerging markets adapt their consumer behavior during economic crises. Unlike the trickle-down model based on upward emulation, the study explores how risk and uncertainty drive consumers to mimic their in-group. Design/methodology/approach - The study employs a conceptual review approach, synthesizing the crisis literature on middle-class consumer behavior across emerging markets. It offers four novel propositions to explain the socio-psychological underpinnings of the shift in middle-class consumer behavior. Findings - Under normal, low-anxiety conditions, middle-class consumers seek upward mobility through aspirational consumption and class emulation, referred to as trickle-down theory. However, during crises, heightened risk anxiety triggers a shift from upward emulation to lateral mimicry, where individuals conform to the consumption norms of their immediate social cohort. Socio-cultural influences play a critical role in risk trivialization and adapting to economic hardships. Originality/value - The study proposes the trickle-across phenomenon as a defining pattern of middle-class consumer behavior in emerging markets during crises. It shifts the focus from aspirational models to cohort-based survival strategies and highlights how socio-cultural factors help middle-class consumers adapt to economic hardships and preserve identity. The framework provides new insights for marketers, policymakers, and scholars.Article Citation - WoS: 1Citation - Scopus: 1Factors Affecting Dentists' Intention To Adopt Artificial Intelligence: An Extension of the Unified Theory of Acceptance and Use of Technology (UTAUT) Model(Emerald Group Publishing Ltd, 2025-10-01) Alqaifi, Faten; Tengilimoglu, DilaverPurposeAdvancements in science and technology have integrated artificial intelligence (AI) into dentistry, improving treatment processes, operational efficiency, and clinical outcomes. However, AI adoption among dentists remains underexplored, hindering progress in oral healthcare. This study aims to identify key barriers to AI adoption and examine factors influencing dentists' intention to use AI.Design/methodology/approachA quantitative cross-sectional approach was employed, utilizing self-administered questionnaires distributed online and across various dental clinics and hospitals in Ankara, Turkey. A total of 440 dentists participated in the study. Data analysis was conducted using SPSS and SmartPLS.FindingsThe study found that AI-anxiety negatively affects the intention to adopt AI in dentistry, showing a medium (almost large) effect that is stronger than other UTAUT factors such as performance expectancy, effort expectancy, and social influence, which demonstrated only small effects. Dentists with higher anxiety about learning and sociotechnical blindness are less likely to adopt AI, while concerns about job replacement and AI-configuration have less but still significant impact.Research limitations/implicationsThese results contribute to the growing body of knowledge on technology adoption in oral healthcare and provide practical implications for technology developers, policymakers, and other stakeholders seeking to facilitate AI integration in dentistry.Originality/valueThis study provides novel insights into AI adoption in dentistry, offering guidance for future development and integration, and addressing a critical research gap in a growing field-particularly in Turkey, where implementation is still in its early stages.Article Analytic Hierarchy Process in Determining Aircraft Basic Maintenance Training Durations(Emerald Group Publishing Ltd, 2025-07-25) Acikel, Gurkan; Temel, Mine Alemdaroglu; Alemdaroğlu Temel, MinePurpose - Currently, in aircraft basic maintenance training, it is determined that various aircraft basic maintenance training organizations around the world apply different basic maintenance durations for the same modules of the same licence categories. Aircraft basic maintenance training organizations are lacking a common curriculum with standard durations for the basic maintenance training modules. To remedy the problems associated with this issue, the purpose of this study is to develop and demonstrate a quantifiable reference (i.e. theoretical training and evaluation content intensity) based scientific theoretical method to determine the durations of the basic theoretical maintenance trainings held for B1.1 and B2 licence categories in aircraft basic maintenance training organizations. Design/methodology/approach - The total basic maintenance training duration was first allocated to basic, theoretical and practical maintenance trainings. The obtained basic theoretical maintenance training duration was then allocated to related modules and submodules by using weighted theoretical training content intensity and weighted theoretical evaluation content intensity, which were obtained by applying a multi-criteria decision-making approach using the analytic hierarchy process (AHP). Findings - In this study, it was found that there is no standardization upon aircraft basic maintenance training organizations for the allocation of the basic maintenance training durations to modules. To remedy this problem, a scientific method, which relies on quantifiable reference bases rather than subjective reasoning, is needed. The reference bases of the proposed theoretical method (i.e. theoretical training and evaluation content intensity) can be tuned with the inclusion of the effect of basic knowledge requirements through multi-criteria decision-making (AHP). The theoretical method proposed in this work is robust in terms of resulting in close proximity values of the basic theoretical maintenance training durations for the common modules of B1.1 and B2 licence categories. The theoretical method is proven to yield greater basic theoretical maintenance training durations for modules having greater theoretical training and evaluation content intensity and lower basic theoretical maintenance training durations for modules having less theoretical training and evaluation content intensity. A distinct similarity in terms of basic theoretical maintenance training durations and the ranking of the modules (in terms of durations) is not present when the average of the training organizations is compared to the results of the theoretical method. A quantifiable reference (i.e. theoretical training and evaluation content intensity) based scientific theoretical method to determine basic theoretical maintenance training durations was developed and demonstrated. Practical implications - Results of this study would especially be useful in an international effort to standardize the different basic theoretical maintenance training durations applied in various aircraft basic maintenance training organizations. Originality/value - To the best of the authors' knowledge, this study is the first in providing and demonstrating a scientific theoretical method based on a systematic, multi-criteria decision-making approach to determine the durations of the basic theoretical maintenance trainings.Book Part The Intellectual Structure of Academic Studies on Blue-Collar Workers(Emerald Group Publishing Ltd, 2023-05-09) Asbas, Caner; Tuzlukaya, Sule; Eroglu, Halil; Kirkbesoglu, ErdemThe main purpose of the study is to examine the intellectual structure of academic studies on blue-collar workers. In this context, (1) productivity and evolution of the field, (2) conceptual dimensions, (3) citation density and (4) structure of academic networks related to blue-collar workers were analyzed. The findings of the study produced results covering all fields of science, not just management and organization. As a result of the study, blue-collar studies by years, the most cited blue-collar studies, the researchers who published the most frequently about blue-collar workers, the researchers who conducted the longest research on blue-collar workers, the most frequently used keywords and academic networks in blue-collar studies are determined. The most important finding is that the blue-collar issue is the common intersection point of different fields of science such as health, medicine, finance, management and organization, marketing, psychology and sociology.Article Citation - WoS: 3Citation - Scopus: 4Does the Relationship Between Sustainable Human Resource Management and Organizational Identification Vary by Culture ? Evidence From 35 Countries Based on Globe Framework(Emerald Group Publishing Ltd, 2025-05-29) Turek, D.; Wojtczuk-Turek, A.; Edgar, F.; Podgorodnichenko, N.; Okay-Somerville, B.; Fu, N.; Zhang, G.Purpose: The article discusses the relationships between sustainable HRM and organizational identification, conceptualized at the individual level, and the moderating role of cultural dimensions conceptualized at the country level (described in GLOBE’s framework). The study’s theoretical model based on social exchange theory proposes that sustainable HRM practice increases organizational identification. However, the strength of this identification depends on the dimensions of national culture. Thus, we assumed national culture functions as a second-level moderator in the relationship between sustainable HRM and organizational identification. Design/methodology/approach: We conducted the study with data from 10,421 employees across 35 countries. We used a multilevel modeling approach for data analysis. Findings: The study revealed the cross-level interaction effects of national culture on the relationship between sustainable HRM practice and organizational identification. Specifically, the results indicate that sustainable HRM strengthens employees’ organizational identification more in cultures with higher levels of gender egalitarianism and lower levels of humane orientation. Originality/value: This study demonstrates that the relationship between sustainable HRM practices and employees’ organizational identification is culturally sensitive. It highlights the need to consider cultural context when assessing the impact of sustainable HRM practices on employee outcomes. Furthermore, it shows that certain cultural dimensions can enhance the effect of sustainable HRM practices. © 2025, Emerald Publishing Limited.Article Citation - Scopus: 1An Activity-Based Lessons Learned Model To Support Scheduling Decisions in Construction(Emerald Group Publishing Ltd, 2025-04-15) Yilmaz, Anil; Akcay, Emre Caner; Dikmen, Irem; Birgonul, M. TalatPurposeThe aim of this study is to develop an activity-based lessons-learned model that allows construction companies to capture, store, classify and reuse activity-related lessons learned (LL) from previous projects, thereby increasing the reliability of time estimates in scheduling.Design/methodology/approachScheduling is a knowledge-intensive process that requires the utilization of data and expert opinion elicitation from various levels of an organization in construction projects. This research consists of five successive steps: performing a needs analysis, proposing an activity-based lessons-learned process model, validating the proposed process model, developing a tool to apply the proposed model in a computer environment and testing the applicability of the tool. To implement the proposed model in practice, a web-based tool, namely the Construction Industry Scheduling with Activity-Based Lessons Learned Tool (ConSALL Tool), was developed. Its functionality was evaluated using black-box testing. The tool was then applied in a real construction project.FindingsResults show that ConSALL has the potential to improve scheduling decisions in construction projects by incorporating data and experience from previous projects. Findings from this research can be used to develop similar models and AI tools to foster activity-based learning in other project-based industries as well as the construction industry.Originality/valueThis paper presents an innovative approach to enhancing construction project scheduling by leveraging LL from past projects. The development and application of the ConSALL Tool demonstrate a practical implementation of the proposed model, providing a framework that can be adapted to other industries to improve project planning and execution.Article Design Team Effectiveness and Architects' Personality Types(Emerald Group Publishing Ltd, 2025-01-21) Alan, Ece; Arditi, David; Gunaydin, Husnu Murat; Akcay, Emre CanerPurposeThe personalities of the design team members constitute one of the factors that influence team effectiveness. In this study, 223 members of the "American Institute of Architects" who are employed by the largest architectural design firms in the United States of America were categorized according to their personality types by using "The Enneagram Personality Type Model." Also, the respondents' opinions about eight team effectiveness outcomes were recorded in order to explore the relationship between team members' personality types and team effectiveness outcomes.Design/methodology/approachThe information was collected by a questionnaire where the first part included 144 pairs of statements that were used to identify respondents' personality types. The second part sought designers' opinions about the importance of eight team effectiveness outcomes rated on a Likert scale ranging from 1 to 5. The results were assessed by performing the Kruskal-Wallis test first and Dunn's post-hoc test with Bonferroni adjustment subsequently.FindingsThe findings highlight the significance of personality types in effective design teams. While Type 6 (loyalist and skeptic) and Type 3 (achiever and performer) architects prioritize team effectiveness the most, Type 7 architects (enthusiasts and epicureans) assign the lowest importance. However, the presence of Type 1 (reformist and perfectionist) and Type 8 (challenger and protector) architects within the same design team may involve challenges or conflicts.Originality/valueThe primary contribution of this study is that it is the first study in the construction management literature that utilizes The Enneagram of Personality Test to understand the relationship between team members' personality types and team effectiveness outcomes. This study is of direct relevance to practitioners and could be utilized in design team-building activities.Review Citation - WoS: 2Citation - Scopus: 2Artificial intelligence's impact on oral healthcare in terms of clinical outcomes: a bibliometric analysis(Emerald Group Publishing Ltd, 2024-11-14) AlQaifi, Faten; Tengilimoglu, Dilaver; Aras, Ilknur Arslan; Arslan Aras, IlknurPurpose - This study provides a comprehensive overview of the impact of artificial intelligence (AI) applications on oral healthcare, focusing on clinical outcomes. Design/methodology/approach - A systematic approach was used to gather articles from databases such as Scopus, ScienceDirect, PubMed, Web of Science and Google Scholar from 2010 to 2024. The selection criteria included articles published in English, focusing solely on clinical applications of AI in dentistry. Articles such as conference proceedings, editorial material and personal opinions were excluded. The articles were analyzed and visualized using Rayyan software, Microsoft Excel and VOSviewer. Findings - Results indicate that 120 publications were authored by 58 scholars from 92 institutions across 29 countries, with a notable surge since 2018. This analysis showed the significant emphasis on the use of deep learning, demonstrating its high accuracy and performance in oral healthcare, often exceeding that of dentists. It also proved that even though AI is sometimes seen as an auxiliary tool, many studies revealed that AI has a performance near dental professionals' levels. Findings concluded that the majority of studies indicate that AI is generating better clinical outcomes in oral healthcare. Practical implications - This study provides dental professionals with insights on integrating AI for better diagnosis and treatment. Policymakers and healthcare institutions can use these findings to inform AI adoption and training strategies. Originality/value - It presents novel and valuable findings that can benefit various stakeholders by shedding light on the present scenario and potential future paths of AI integration in oral healthcare, contributing to its overall advancement.