Dobrucalı, Birce
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Yelkenci, Birce Dobrucalı
Dobrucalı Yelkenci, Birce
Dobrucali, Birce
Dobrucali Yelkenci, Birce
Dobrucalı Yelkenci, Birce
Dobrucali, Birce
Dobrucali Yelkenci, Birce
Job Title
Email Address
birce.dobrucali@ieu.edu.tr
Main Affiliation
03.04. International Trade and Finance
Status
Current Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
5
GENDER EQUALITY
0
Research Products
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
2
Research Products
13
CLIMATE ACTION
0
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
1
Research Products
14
LIFE BELOW WATER
0
Research Products
17
PARTNERSHIPS FOR THE GOALS
1
Research Products
1
NO POVERTY
0
Research Products
2
ZERO HUNGER
0
Research Products
4
QUALITY EDUCATION
1
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
3
GOOD HEALTH AND WELL-BEING
0
Research Products
6
CLEAN WATER AND SANITATION
0
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
10
REDUCED INEQUALITIES
0
Research Products
15
LIFE ON LAND
0
Research Products
7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
Documents
5
Citations
66
h-index
3
Documents
6
Citations
66
Scholarly Output
10
Articles
7
Views / Downloads
11/420
Supervised MSc Theses
1
Supervised PhD Theses
0
WoS Citation Count
66
Scopus Citation Count
66
WoS h-index
3
Scopus h-index
3
Patents
0
Projects
0
WoS Citations per Publication
6.60
Scopus Citations per Publication
6.60
Open Access Source
4
Supervised Theses
1
| Journal | Count |
|---|---|
| Journal of Busıness & Industrıal Marketıng | 2 |
| Contemporary Approaches in Humanities: Business, Law | 1 |
| Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi | 1 |
| Ege Academıc Revıew | 1 |
| Journal of Yasar University | 1 |
Current Page: 1 / 2
Scopus Quartile Distribution
Competency Cloud
9 results
Scholarly Output Search Results
Now showing 1 - 9 of 9
Article Machine Learning Applications in Social Media Analytics: a State-Of Analysis(2021) Dobrucalı, Birce; İlter, BurcuSocial media analytics (SMA), referring to the collection and analysis of user generated data from social media platforms, attract attention of both researchers and practitioners striving to derive consumer insights. The SMA domain grows multifariously, with a highlight on the capability of machine learning algorithms in capturing noteworthy insights through processing high-volume and complex data in a cost effective way. As machine learning applications draw attention as a fertile area that may re-shape the future of SMA, there is a need to comprehend trends and approaches in an integrative framework. Accordingly, this study aims to present an integrative framework by portraying machine learning application trends and approaches in SMA. 42 scientific articles published in refereed scientific business, management, and computational science journals between the years 2013 and 2019 are analyzed via systematic literature review based on visual text mining method (SLR-VTM). The results revealed five distinctive research clusters as: (1) review sites, (2) microblogs, (3) social networking sites, (4) content communities, (5) cross-media. This analysis plays a crucial role for enhancing our understanding regarding the intellectual structure of the field, acknowledging the leading studies of the domain, better positioning future research, and determining gaps and new paths for researchers.Review Article Citation - WoS: 29Citation - Scopus: 32The Role of Guanxi on International Business-To Relationships: a Systematic Review and Future Directions(Emerald Group Publishing Ltd, 2020) Dobrucali, BircePurpose This paper aims to provide a comprehensive and systematic review of the extant empirical body of knowledge regarding the impact of Guanxi on international Business-to-Business (B-to-B) relationships. Design/methodology/approach After the collection and refinement of studies that appeared in marketing, business and management literature during 1995-2018 period, a systematic review was conducted to discover the current situation and future research directions on the subject. Findings Theoretically, vast majority of the reviewed studies lacked a theoretical foundation, with the remainder anchored primarily on the resource-based view, social network theory and social exchange theory. Methodologically, Ganqing, Xinren and Mianzi are the most frequently investigated dimensions, whereas Renqing is the least investigated dimension. Data are mostly obtained from both Chinese and Western counterparts through survey and analyzed through univariate and multivariate data analysis techniques. Empirically, extant research focused on many diverse outcomes including trust, financial performance, cooperation, satisfaction, time orientation, opportunism and liability of foreignness, while under-examining the drives of Guanxi. Research limitations/implications This study provides a synthesis of extant line of research on the subject that are published in peer-reviewed international journals, which publish research in English. A meta-analysis may be conducted for providing a further detailed framework. Originality/value This study contributes to international marketing literature by providing an in-depth and synthesized inventory of knowledge to scholars; deriving a comprehensive analysis of theoretical foundations, methodological approaches and findings addressed by scholars in the field; noticing theoretical, methodological and empirical gaps to be examined; and providing future research directions.Article Menşe Ülke Etkisinin Çevrimiçi Satın Alma Kararları Üzerindeki Etkileri: Kapsamlı Bir Derleme(2025) Akdeniz, Gözde; Dobrucali, BirceBu çalışma, menşe ülke kavramının çevrimiçi satın alma kararları üzerindeki etkisini kapsamlı bir şekilde incelemeyi amaçlamaktadır. Bu doğrultuda, mevcut bilgi birikimi içindeki kavramsal ve metodolojik yaklaşımlar ile ampirik boyutlar detaylı bir şekilde analiz edilerek sentezlenmiş ve eleştirel bir değerlendirmeye tabi tutulmuştur. İşletme ve yönetim literatüründen 2006-2025 yılları arasında yayımlanmış 38 makaleye ulaşılmıştır. Literatürdeki güncel durumu belirlemek ile gelecekteki araştırma yönelimlerini ortaya koymak için kapsamlı bir derleme çalışması yapılmıştır. İncelenen makalelerin çoğu hipotez odaklı ve yapılandırılmış olup, daha az bir kısmı keşifsel niteliktedir. Çoğunlukla ikincil verilere dayalı istatistiksel teknikler ve çevrimiçi anketler kullanılırken, vaka çalışmaları daha az tercih edilmiştir. Kesitsel ve boylamsal araştırmalar neredeyse eşit düzeyde temsil edilerek çevrimiçi menşe ülke etkilerine dair hem statik hem de dinamik içgörüler sunmaktadır. Coğrafi açıdan, araştırmalar daha çok Asya, Kuzey Amerika ve Avrupa ülkelerine odaklanmaktadır. Çalışmalarda tüketici ürünlerine, hizmetler ve endüstriyel ürünlerden daha fazla önem verildiği gözlemlenmektedir. Örnekleme yöntemleri genellikle yetersiz açıklanmış olup, en yaygın kullanılan veri analiz tekniği çok değişkenli istatistiklerdir. Bu araştırma, uluslararası pazarlama literatürüne katkıda bulunarak mevcut çalışmaları gözden geçirmek, daha fazla inceleme gerektiren boşlukları vurgulamak ve gelecekteki araştırmalar için olası yönelimler önermek amacıyla gerçekleştirilmiştir.Conference Object Citation - WoS: 8Services Marketing Mix Efforts of a Global Services Brand: the Case of Dhl Logistics(Elsevier Science Bv, 2015) Oflac, Bengu Sevil; Dobrucali, Birce; Yavas, Tugce; Escobar, Maria GabrielaThe purpose of this study is identifying the services marketing mix (7Ps-product/service, place, promotion, price, people, processes and physical evidence) decisions of a logistics company. The significance of services marketing mix on creating a logistics services brand has received little attention in the literature. In this paper, the case of a global brand, DHL Logistics is presented. Case study was conducted by using secondary data obtained from DHL Logistics' reports and by conducting semi-constructed interviews with DHL Logistics' executives and employees. Due to the reputation and operations of the company, this framework will act as a guideline for the other alike companies. The marketing mix decisions made by DHL Logistics affect both B2B and B2C customers' brand perceptions and enhance the brand equity of DHL Logistics. (C) 2015 The Authors. Published by Elsevier B.V.Article Citation - WoS: 2Customer Service Failure Evaluations in Diverse Airlines Business Models(Ege Univ, Fac Economics & Admin Sciences, 2019) Dobrucali, Birce; Oflac, BenguEven though it is impossible to eliminate all failures in a service encounter, due to their negative outcomes, airlines' strive at minimizing failures as much as possible. Customers may act differently after failures, but the important point for airlines is to understand the underlying psychological mechanisms for prevention. In this regard, this study reveals the dynamics by which expectancies of passengers affect stability attribution, word of mouth (WOM) and repurchase intentions after exposing service failures in diverse airlines business models. Structural equation modeling is used to compare models in two airlines business contexts: low cost carriers (LCCs) and flagship airlines. Findings demonstrate that for LCC, passengers' expectations positively affect stability attributions. Additionally, stability attribution following flagship airlines service failure is found to have a negative effect on repurchase intentions. Finally, findings indicate that following both LCC and flagship service failures, stability attribution decreases WOM intention of passengers.Article Citation - WoS: 2Citation - Scopus: 3Online Complaint Handling: a Text Analytics-Based Classification Framework(Emerald Group Publishing Ltd, 2023) Dobrucalı, Birce; Özdağoğlu, Güzin; İlter, BurcuPurposeThis study aims to both identify content-based and interaction-based online consumer complaint types and predict complaint types according to the complaint magnitude rooted in complainants' personality traits, emotion, Twitter usage activity, as well as complaint's sentiment polarity, and interaction rate.Design/methodology/approachIn total, 297,000 complaint tweets were collected from Twitter, featuring over 220,000 consumer profiles and over 24 million user tweets. The obtained data were analyzed via two-step machine learning approach.FindingsThis study proposes a set of content and profile features that can be employed for determining complaint types and reveals the relationship between content features, profile features and online complaint type.Originality/valueThis study proposes a novel model for identifying types of online complaints, offering a set of content and profile features that can be used for predicting complaint type, and therefore introduces a flexible approach for enhancing online complaint management.Review Article Citation - WoS: 23Citation - Scopus: 28Country-Of Effects on Industrial Purchase Decision Making: a Systematic Review of Research(Emerald Group Publishing Ltd, 2019) Dobrucali, BircePurpose This study aims to provide a contemporary, holistic and systematic review regarding the impact of country-of-origin on industrial purchase decision-making by ascertaining, synthesizing and evaluating theoretical, methodological and empirical dimensions of studies on the subject. Design/methodology/approach After the collection and refinement of 43 studies that appeared in marketing, business and management literatures during 1970-2017, systematic review was applied to discover the current situation and future research directions on the subject. Findings The vast majority of the existing studies obtained data from a single source even though industrial purchase decisions are mainly made by a large group of decision-makers. Moreover, the existing literature contains few over-studied theoretical perspectives while lacking integration of the subject with the more contemporary ones. Additionally, in the literature, combination of developing countries as source countries, and developed ones as target countries, is under-examined, and the differentiation between country-of-design and country-of-assembly is mainly avoided during operationalization. Finally, majority of the studies lack investigation of antecedents and mainly investigated few over-examined constructs as outcomes. Research limitations/implications - This study provides a conceptual synthesis of existing studies. A meta-analysis may be applied to empirical studies for providing a further detailed framework. Originality/value - This study contributes to industrial marketing literature by providing a compiled and synthesized inventory of knowledge for scholars; deriving a comprehensive analysis of research designs, methodologies and findings addressed by researchers in the field; noticing various theoretical, methodological and other gaps to be examined; and providing future research directions.Master Thesis Customer Evaluations in Airlines Service Failure Situations: an Attributional Approach(İzmir Ekonomi Üniversitesi, 2016) Dobrucalı, Birce; Oflaç, BengüBu çalışma, havayolu yolcularının kişilik özelliklerinin, satınalma davranışlarının ve havayolu iş modellerine istinaden geliştirdikleri beklentilerin, yaşanan hizmet hataları sonucunda yolcuların atıf davranışlarına ve yeniden satınalma davranışlarına etkisini araştırmaktadır. Hizmet sunumu sürecindeki hataların tümünü ortadan kaldırmak imkansız olsa da, bu hataların yeniden satınalma eğiliminin düşmesi ya da ortadan kalkması gibi olumsuz sonuçlar doğurmasından dolayı havayolu şirketleri hataları mümkün olduğunda en aza indirgemeye çalışmaktadır. Bu nedenle, havayolu şirketleri için, hatalar sonucu ortaya çıkan olumsuz etkileri en aza indirgeyebilmek açısından, bu olumsuz etkilerin altında yatan karakter özellikleri, beklentiler ve atıf davranışları analiz etmek önem taşımaktadır. Havayolu yolcuları tarafından yanıtlanan anketlerin analiz edilmesi sonucunda bu çalışma, yeniden satınalma davranışını kapsayan davranışsal amaçların ve atıf davranışlarının, karakter özellikleri, satınalma alışkanlıkları ve beklentiler gibi dinamikler tarafından etkilediğini ortaya koymaktadır.Article Citation - WoS: 2Citation - Scopus: 3Exploring the Relationship Between Digital Trails of Social Signals and Bitcoin Returns(Emerald Group Publishing Ltd, 2023) Yelkenci, Tezer; Dobrucalı, Birce; Vardar, Gulin; Aydoğan, BernaPurposeThis study aims to empirically investigate the linkages between digital trails of social signals (content and profile features of bitcoin-related tweets) and bitcoin price return using a VAR-BEKK-GARCH model. Design/methodology/approachBitcoin-related tweets were collected every hour for six months from September 1, 2020, to February 29, 2021. The analysis involved two steps: first, examining tweet content, profiles, sentiment and emotions; and second, investigating the relationship between social signal volatility and hourly bitcoin price return. FindingsResults indicate that bitcoin price changes can impact the sentiment expressed in tweets about bitcoin, and vice versa. While sadness exhibits a bidirectional volatility spillover with bitcoin, fear and anger display a one-period lag. Quartile analyses reveal that only fear in the second quartile shows a bidirectional spillover effect with bitcoin, while all other emotions except sadness demonstrate a unidirectional spillover effect in all remaining quartiles. Originality/valueThe study uses a novel two-step approach to analyze volatility spillovers between social signals and bitcoin price returns. Findings can guide investors and portfolio managers in making better allocation decisions and assist policymakers and regulators in reducing the adverse effects of bitcoin's volatility on financial system stability.
