33 results
Search Results
Now showing 1 - 10 of 33
Article Citation - WoS: 11Citation - Scopus: 11Exploring Sectoral Diversity in the Timing of Organizational Blockchain Adoption(Emerald Group Publishing Ltd, 2022) Turhan, Cigdem; Akman, IbrahimPurpose Blockchain is a relatively new technology. Although it has a high potential to influence organizational strategies for adoption into respective operations, it has not been widely explored yet. This study aims to assess the sectoral diversity in the timing of organizational adoption of blockchain through selected organizational factors. Design/methodology/approach A survey was conducted based on a sample of 208 IT professionals. The data was collected using an instrument containing 17 questions. The existence of sector diversity was statistically analyzed using the Least Square Regression method. Findings The results indicate that, except for management support and perceived ease of use, all the other factors in the analysis significantly influence sector diversity in terms of blockchain adoption timing. Originality/value Although blockchain has received attention from researchers, to the best of the authors' knowledge, there is no published work in the literature that explores the organizational factors influencing sectoral differences in the timing of blockchain technology adoption. Therefore, our work is unique in the related literature since we present analyses for the diversity between public and private sectors by modeling the factors affecting the intentions for the timing of blockchain adoption as part of the organizations' IT infrastructure.Article Citation - WoS: 4Citation - Scopus: 6Kiyaslio: a Gamified Mobile Crowdsourcing Application for Tracking Price Dispersion in the Grocery Retail Market(Emerald Group Publishing Ltd, 2022) Macakoglu, Sevval Seray; Cinar, Burcu Alakus; Peker, SerhatPurpose In the recent years, the rapid growth of the grocery retailing industry has created a great heterogeneity in prices across sellers in the market. Online price comparison agents which are key mechanisms to solve this problem by providing prices from different sellers. However, there are many sellers in the grocery industry do not offer online service, and so it is impossible to automatically retrieve price information from such grocery stores. In this manner, crowdsourcing can become an essential source of information by collecting current price data from shoppers. Therefore, this paper aims to propose Kiyaslio, a gamified mobile crowdsourcing application that provides price information of products from different grocery markets. Design/methodology/approach Kiyaslio has been developed through leveraging the power of crowdsourcing technology. Game elements have also been used to increase the willingness of users to contribute on price data entries. The proposed application is implemented using design science methodology, and it has been evaluated through usability testing by two well-known techniques which are the system usability scale and the net promoter score. Findings The results of the usability tests indicate that participants find Kiyaslio as functional, useful and easy to use. These findings prove its applicability and user acceptability. Practical implications The proposed platform supports crowd sourced data collection and could be effectively used as a tool to support shoppers to easily access current market product prices. Originality/value This paper presents a mobile application platform for tracking current prices in the grocery retail market whose strength is based on the crowdsourcing concept and incorporation of game elements.Article Citation - Scopus: 1An Activity-Based Lessons Learned Model To Support Scheduling Decisions in Construction(Emerald Group Publishing Ltd, 2025) 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 Citation - WoS: 10Citation - Scopus: 17Investigation of Employers' Performance Expectations for New It Graduates in Individual and Team Work Settings for Software Development(Emerald Group Publishing Ltd, 2018) Akman, Ibrahim; Turhan, CigdemPurpose - In general, software development work environments involve many different tasks and have high demands on efficiency and quality of performance at both individual and team levels, which depend on the competencies of employees. However, the literature does not provide satisfactory evidence as for the characteristics and competencies of individuals. Especially, the employers' expectations of new graduates have not been investigated in detail for different work environments. The purpose of this paper is to examine employers' expectancies regarding technical, personal and educational competencies among IT-graduated employees to provide a comparison between individual and team work settings. Design/methodology/approach - A survey approach was used for this purpose, and the research model was tested using multiple regression. Findings - The results revealed that significant diversity exists in individual and team work settings regarding employers' expectations for new graduates' competencies in terms of adapting to new software development methods and approaches, using time effectively and experience gained in undergraduate projects. Originality/value - The results of this study will yield insight to computer-related departments in curriculum development by providing a comparison between the varying competencies required in individual and team work settings from the employer's perspective. In the long run, the aim is to meet employers' demands of the new graduates' competencies, resulting in better individual and team performances in information technology companies, thereby leading to successful software development.Article Citation - WoS: 10Citation - Scopus: 14A 30-Year Journey of Hospitality and Tourism Research: a Comprehensive Topic Modeling Analysis(Emerald Group Publishing Ltd, 2024) Kurt, Senol; Assefa, Feven Zewdie; Tuzlukaya, Sule Erdem; Karatepe, Osman M.PurposeThe purpose of this study is to provide an overview of the research conducted on hospitality and tourism articles published in Q1 category journals from 1990 to 2023. This study also aims to measure the topic prevalence in selected journals throughout the years, their change over time and similarities of journals.Design/methodology/approachLatent dirichlet allocation algorithm is used as a topic modeling method to identify and analyze topics in hospitality and tourism research over the past 30 years.FindingsThe results of the study indicate that hospitality and tourism research has recently focused on topics such as employee behavior, customer satisfaction, online reviews, medical tourism and tourist experience. However, the results also indicate a negative trend in topics such as hotel management, sustainability, profession, economic growth and tourist destination.Practical implicationsThis study can be used to examine the evolution of research patterns over time, find hot and cold themes and uncover untapped or understudied areas. This can aid academics in their investigations and practitioners in making sound strategic decisions.Originality/valueThis study contributes to the existing literature by providing a new approach and comprehensive analysis of hospitality and tourism research topics. It delineates an overview of the progression of hospitality and tourism research over the past 30 years, identifies the trending topics and explores the potential impacts that these identified topics may have on future studies.Article Citation - WoS: 7Citation - Scopus: 8Solar Energy for the Airport Ground Support Equipment - a Quantitative Study(Emerald Group Publishing Ltd, 2023) Yildiz, Melih; Mutlu, Savas; Nagy, Andras; Kale, UtkuPurposeThis paper aims to evaluate the hypothetical situation in a resembling airport to Esenboga Airport and analyzes the condition of all ground support equipment (GSE) equipment to be supplied by electricity produced by solar panels mounted on the rooftop of the terminal building. The case is discussed using environmental emissions and economic feasibility. The results of the resembling case can be generalized to all airports for the reduction of emissions caused by ground operations of aviation. Design/methodology/approachGSE fleet data which has been prepared by TGS operated in the Esenboga Airport have been used to calculate emissions, and equivalent electricity consumption. A hypothetical solar panel construction on the rooftop of the terminal building and also the electricity production case was analyzed. Based on the calculations, both fuel and electricity use cases are compared by means of emissions and production costs using real data. FindingsThe electricity production and transmission pose a high value of emissions. Thus, electrification of GSE in the airport need a new approach such as producing the electric energy in the site. This research analyzes the case that the electricity is produced on the rooftop of terminal building and consumed by the GSE fleet. The authors discussed that it is both feasible and possible to electrify all the GSE except a shortage of two cold months with high fuel demand by using electric storage options. Practical implicationsGround handling is performed by using GSE which is historically powered by diesel and such internal combustion engines which are well known for their high emission rates. As most of the airports reside in populated areas, GSE emissions need to be evaluated for reduction. However the electric energy could be an alternative for GSE emissions reduction Originality/valueAviation is a system of many subsystems in which the performance of each unit plays a crucial role in the final success of the system. Concerns on environmental protection make the aviation industry focus on reducing emissions produced during operations. Although aircraft emissions are widely discussed in the literature, ground handling systems which are an integral part of the whole aviation system, also need to be studied regarding the environmental issues. Besides, the European Union has set out targets of reducing emissions at the airports during ground operations to zero. This paper discusses the possibility of the target by comparing various scenariosArticle Factors 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) 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 Citation - WoS: 6Citation - Scopus: 6Effects of Window Proximity on Perceptions of Employees in the Call Center Offices(Emerald Group Publishing Ltd, 2020) Yildirim, Kemal; Ozkan, Aysen; Gunes, Elif; Mestan, AhmetPurpose The purpose of this study is to determine the effects of window proximity on perceptions of employees in the call center offices. Design/methodology/approach A semantic differential scale composed of nine bipolar adjectives, four of which dealt with "planning," three of "privacy," while the rest measured "lighting" was applied for evaluation. In total, 92 employees at the TEPE Call Center in the Bilkent District, Ankara, Turkey participated in the research. Findings The results showed that window proximity directly affected the call center employees' perceptions. In addition, a positive approach was even less affected when the location of the workstation was more at the inner part of the workspace. On the contrary, workstations in front of the window were evaluated more positively, presumably because the employees were happy at feeling roomy and by giving them a higher level of privacy, while also minimizing distractions and interruptions. It was also found that call center employees with secondary education responded more positively than higher educated employees. Originality/value This study presents suggestions that would be useful for increasing the working and solution-focused perceptual performance values in call center environments from the new generation of work areas. They should be appropriate for the psychological and physical needs of employees in twenty-first-century communication environments, especially in spatial environments and for the suitability of the technological equipment used.Article The "Trickle-Across" Phenomenon: Consumption-Mimicking in Emerging Markets in a Stress Environment(Emerald Group Publishing Ltd, 2025) 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 Design Team Effectiveness and Architects' Personality Types(Emerald Group Publishing Ltd, 2025) 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.
