İşletme Bölümü Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1937

Browse

Filters

2015 - 2019342020 - 202420

Settings

Has files: YesPublication Index: search.filters.publicationIndex.WoS

Search Results

Now showing 1 - 10 of 54
  • Book
    Strategic Financial Management for Small and Medium Sized Companies
    (Emerald Group Publishing Ltd., 2015) Karadağ, Hande
    Research shows the majority of small businesses fail in their early years due to poor financial management, turning the dreams of many business owners and novice entrepreneurs into nightmares. This book serves as a guide to prevent these financial disasters. In an applicable fashion, Karadag explains how financial management in an enterprise can be conducted strategically to attain significant improvement in business performance. Karadag takes the basic strategic management model of environmental scanning-planning-implementing-feedback as a framework, and approaches the core financial practices and instruments as elements of strategic financial management, which any small or medium sized enterprise can use as tools for sustainable organizational performance and growth. With its unique strategic outlook, this text is a vital reference for nonfinancier small or medium sized enterprise owners and individuals who aim to successfully establish and run their own businesses. © 2015 Emerald Group Publishing Limited.
  • Article
  • Review
    Citation - WoS: 8
    Citation - Scopus: 10
    Consumer Responses Toward Smart Technology: a Systematic Review, Synthesis, and Future Research Agenda
    (Wiley, 2024-04-25) Köse, Şirin Gizem; Özer Çizer, Ece; Sağkaya Güngör, Ayşegül; Ozansoy Çadırcı, Tugce; Cadirci, Tugce Ozansoy; Gungor, Aysegul Sagkaya
    This article is a comprehensive review of the literature on smart technology in consumer studies from 1996 to 2023. While the paper provides information about the development of the field by identifying important publications and authors, it employs topic modeling to pinpoint key topics in papers published in marketing and business journals. These topics are then grouped into three research streams and evaluated concerning theoretical, contextual, and methodological perspectives. While doing so, specific gaps were identified. By revealing gaps in the literature, the study suggests promising avenues for further research. Finally, this article advances our comprehension of the smart technology literature in marketing and business journals and informs future inquiry in this rapidly evolving domain.
  • Article
    Citation - WoS: 16
    Citation - Scopus: 16
    The Timing Database: an Open-Access, Live Repository for Interval Timing Studies
    (Springer, 2023-01-03) Brochard, Renaud; Karşılar, Hakan; Akdoğan, Başak; De Corte, Benjamin; Aydoğan, Turaç; Baccarani, Alessia; Duyan, Yalçın Akın; Balci, Fuat
    Interval timing refers to the ability to perceive and remember intervals in the seconds to minutes range. Our contemporary understanding of interval timing is derived from relatively small-scale, isolated studies that investigate a limited range of intervals with a small sample size, usually based on a single task. Consequently, the conclusions drawn from individual studies are not readily generalizable to other tasks, conditions, and task parameters. The current paper presents a live database that presents raw data from interval timing studies (currently composed of 68 datasets from eight different tasks incorporating various interval and temporal order judgments) with an online graphical user interface to easily select, compile, and download the data organized in a standard format. The Timing Database aims to promote and cultivate key and novel analyses of our timing ability by making published and future datasets accessible as open-source resources for the entire research community. In the current paper, we showcase the use of the database by testing various core ideas based on data compiled across studies (i.e., temporal accuracy, scalar property, location of the point of subjective equality, malleability of timing precision). The Timing Database will serve as the repository for interval timing studies through the submission of new datasets.
  • Review
    Citation - WoS: 171
    Citation - Scopus: 210
    A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making
    (MDPI, 2023-05-11) Abacıoğlu, Seda; Ayan, Büşra; Basilio, Marcio Pereira
    In the realm of multi-criteria decision-making (MCDM) problems, the selection of a weighting method holds a critical role. Researchers from diverse fields have consistently employed MCDM techniques, utilizing both traditional and novel methods to enhance the discipline. Acknowledging the significance of staying abreast of such methodological developments, this study endeavors to contribute to the field through a comprehensive review of several novel weighting-based methods: CILOS, IDOCRIW, FUCOM, LBWA, SAPEVO-M, and MEREC. Each method is scrutinized in terms of its characteristics and steps while also drawing upon publications extracted from the Web of Science (WoS) and Scopus databases. Through bibliometric and content analyses, this study delves into the trend, research components (sources, authors, countries, and affiliations), application areas, fuzzy implementations, hybrid studies (use of other weighting and/or ranking methods), and application tools for these methods. The findings of this review offer an insightful portrayal of the applications of each novel weighting method, thereby contributing valuable knowledge for researchers and practitioners within the field of MCDM.
  • Conference Object
    Prediction of Loan Decisions With Optical Neuroimaging (fnirs) and Machine Learning
    (IEEE, 2023-07-05) Girişken, Yener; Son Turan, Semen; Çakar, Tuna; Ertuğrul, Seyit; Sayar, Alperen; Son, Semen; Giriken, Yener
    The successful applications of neuroscientific methods and artificial learning approaches have increased in applied fields such as economics, marketing, and finance in the last decade. In this study, a prediction model was developed using the output of optical neuroimaging (fNIRS) measurements from the prefrontal brain regions while 40 participants made decisions for 35 credit offers. The aim was to predict participants' responses to credit offers using artificial learning methods based on four metrics obtained over time from the optical neuroimaging system. The findings of the study indicate that the first 6 seconds (prior to the response entry) are particularly critical. While the performance rate in the developed prediction models is found to be higher, especially in tree-based algorithms, this paper includes a performance comparison of 5 models specifically.
  • Article
    Citation - WoS: 51
    Citation - Scopus: 94
    Blockchain Technology and Sustainability in Supply Chains and a Closer Look at Different Industries: a Mixed Method Approach
    (MDPI, 2022-12-08) Güner, Elif; Ayan, Büsra; Son-Turan, Semen
    Background: This study presents a comprehensive review of blockchain technology with a sustainability orientation in supply chains and logistics. Methods: The publications are extracted from the Scopus and Web of Science databases, comprising 552 publications between 2017 and 2022. Several bibliometric laws and techniques, namely three-field analysis, Bradford’s Law, Lotka’s Law, and thematic maps, are applied in R with the bibliometrix package. Content analysis is also carried out based on 185 publications to appreciate the industry-based view of the field. Results: The bibliometric results indicate that this field is on the rise. Authors, sources, affiliations, countries, keywords, and their relationships are also addressed. The findings of the content analysis and thematic maps reveal that some of the most highlighted themes in the literature include traceability, COVID-19, the internet of things, and Industry 4.0. The most popular industry in this field is discovered to be food and agriculture. Conclusions: This paper contributes to the still relatively scarce literature on how blockchain technology fosters sustainable supply chains and logistics, providing a closer look at blockchain use, methodologies, and future directions for different industries concerning food, agriculture, fashion, textile and apparel, manufacturing, automotive, maritime and shipping, healthcare and pharmaceutical, mining and mineral, and energy. © 2022 by the authors.
  • Article
    Citation - WoS: 6
    Citation - Scopus: 4
    The Antecedents of Career Change Intention in Middle-Level Managers: the Role of Job and Career Satisfaction
    (Personnel Review, 2022-10-21) Şahin, Faruk; Karadağ, Hande
    Purpose – This investigates the interrelationships between job and career satisfaction and career changeintention through the extension of the theory of planned behavior (TPB).Design/methodology/approach – The data for the study is collected from 219 top and middle-levelmanagers and analyzed through partial least squares path structural equation modeling (PLS-SEM).Findings – Findings indicate that job and career satisfaction have a significant and negative impact onpersonal attitude toward career change and subjective norms, whereas all three constructs of the TPB influence the intention to change career. In addition, the mediation of personal attitude and subjective norm pathways were found to be significant for both job and career satisfaction and career change intention relationships, while no mediation effect was identified for the perceived behavior control construct of the TPB.Research limitations/implications – The results suggest important theoretical and practical implications.First, a novel model of mediation between job and career satisfaction and the intention to turn away from an existing career is introduced between job and career satisfaction and career change intention associations for testing the full TPB framework.Practical implications – The findings imply that the impact of cognitive factors, including having a positiveopinion about the potential outcomes of switching to a new career, the level of pressure exerted by significant third parties about making a career change, and the self-belief about making this change happen should be closely investigated when examining the determinants of career change intention.Originality/value – To the best of the authors’ knowledge, this is the first empirical research study that teststhe impact of the determinants of TPB on career change intention within a sample of professional managers from an emerging economy context.
  • Article
    Examining the Relations Between Employees' Perception of Corporate Social Responsibility, Customer Orientation and Perceived Performance
    (Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2022-07-29) Köse, Şirin Gizem; Enginkaya, Ebru
    Günümüz şartlarında, hangi sektörde faaliyet gösterdikleri fark etmeksizin tüm sektörlerrekabet avantajı kazanmak için kurumsal sosyal sorumluluğu etkin olarakkullanmaktadır. Kurumsal sosyal sorumluluk araştırmaları çoğunlukla tüketicilerinalgısında yoğunlaşmıştır, konuya çalışanların bakış açısına ihtiyaç bulunmaktadır. Buçalışma çalışanların kurumsal sosyal sorumluluk algısının, müşteri odaklılık vealgılanan performans ile ilişkisini incelemektedir. 218 çalışandan elde edilen verilerKısmi En Küçük Kareler (PLS) Yapısal Eşitlik Modellemesi tekniği ile analiz edilmiştir.Sonuçlar çalışanların KSS algısının tüm boyutlarının müşteri odaklılık ve algılananperformans ile pozitif ilişkili olduğunu göstermektedir. Algılanan performansı açıklayanen güçlü değişken algılanan çevresel KSS aktiviteleriyken, müşteri odaklılığı açıklayanen güçlü değişken algılanan etik KSS aktiviteleridir. Ayrıca, müşteri odaklılık, algılananperformans ile pozitif ilişkilidir. Sonuçlar çalışan-temelli KSS ve onun olası pozitifsonuçları için yararlı içgörüler sunmaktadır. Ayrıca çalışma sonuçları ile çalışan temelliKSS'deki araştırma boşluğunu doldurmayı ve bunun pazarlama ile ilgili çıktılarüzerindeki etkisini incelemeyi hedeflemektedir.
  • Article
    Citation - WoS: 6
    Citation - Scopus: 5
    User-Generated and Brand-Generated Content as Indicators of University Brand Personality and Business Strategy
    (Routledge, 2022-04-04) Tosun, Petek; Ayan, Büşra; Karadağ, Hande
    The rising competition and social media usage increased the importance of university brand personality and strategic marketing in higher education. This study explores the interrelationships between brand-generated content (BGC) and user-generated content (UGC) on social media and universities’ competitive strategy and brand personality. BGC that included four universities’ tweets and UGC that consisted of consumer comments were analyzed by content and correspondence analysis in R programming language. The findings indicated that BGC was in alignment with universities’ generic strategies. BGC-UGC dispersions across brand personality were in alignment for the differentiator university, while there was a mismatch between BGC and UGC for low-cost universities. The differentiator university was associated with being prestigious, cosmopolitan, and conscientious, while the low-cost universities were associated with sincerity. The findings supported the applicability of generic business strategies to the higher education context and showed the strategic link between brand personality and the pursued generic strategy.