Son Turan, Semen

Profile Picture
Profile URL
https://hdl.handle.net/20.500.11779/2796
Name Variants
Turan, S. Semen
Semen Son
Son, Semen
Son Turan, Semen
Son-Turan, Semen
Turan, Semen Son
Semen Son Turan
Job Title
Email Address
sons@mef.edu.tr
Main Affiliation
04.03. Department of Business Administration
Status
Current Staff
Website
ORCID ID
0000-0002-7457-8417
Scopus Author ID
57189076696
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
C-6256-2019
Files
Semen Son Turan.jpg (144.48 KB)

Sustainable Development Goals

2

ZERO HUNGER
ZERO HUNGER Logo

1

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
PEACE, JUSTICE AND STRONG INSTITUTIONS Logo

2

Research Products

1

NO POVERTY
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0

Research Products

11

SUSTAINABLE CITIES AND COMMUNITIES
SUSTAINABLE CITIES AND COMMUNITIES Logo

0

Research Products

7

AFFORDABLE AND CLEAN ENERGY
AFFORDABLE AND CLEAN ENERGY Logo

0

Research Products

10

REDUCED INEQUALITIES
REDUCED INEQUALITIES Logo

1

Research Products

3

GOOD HEALTH AND WELL-BEING
GOOD HEALTH AND WELL-BEING Logo

1

Research Products

6

CLEAN WATER AND SANITATION
CLEAN WATER AND SANITATION Logo

0

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

11

Research Products

12

RESPONSIBLE CONSUMPTION AND PRODUCTION
RESPONSIBLE CONSUMPTION AND PRODUCTION Logo

6

Research Products

5

GENDER EQUALITY
GENDER EQUALITY Logo

0

Research Products

14

LIFE BELOW WATER
LIFE BELOW WATER Logo

4

Research Products

13

CLIMATE ACTION
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0

Research Products

15

LIFE ON LAND
LIFE ON LAND Logo

1

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
DECENT WORK AND ECONOMIC GROWTH Logo

6

Research Products

17

PARTNERSHIPS FOR THE GOALS
PARTNERSHIPS FOR THE GOALS Logo

5

Research Products

4

QUALITY EDUCATION
QUALITY EDUCATION Logo

7

Research Products
Documents

15

Citations

238

h-index

6

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Documents

15

Citations

168

Go to WoS profile
Scholarly Output

32

Articles

13

Views / Downloads

7299/11841

Supervised MSc Theses

2

Supervised PhD Theses

0

WoS Citation Count

168

Scopus Citation Count

238

WoS h-index

6

Scopus h-index

6

Patents

0

Projects

0

WoS Citations per Publication

5.25

Scopus Citations per Publication

7.44

Open Access Source

14

Supervised Theses

2

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JournalCount
International Journal of Sustainability in Higher Education2
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1. Uluslararası Yükseköğretim Çalışmaları Konferansı2
32nd IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2024 -- Tarsus Univ Campus, Mersin, TURKEY1
3rd International Conference on Debt Crises and Financial Stability1
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Scholarly Output Search Results

Now showing 1 - 10 of 32
  • Thumbnail Image
    Book Part
    The TRAIN Framework for AI-Assisted Development of Novice Accounting Instructors
    (Springer Science and Business Media Deutschland GmbH, 2025) Son-Turan, Semen
    Novice accounting instructors in higher education, and particularly in specialized fields like accounting, face significant challenges, including the need to frequently update curricula, balance theoretical and practical instruction, master new technologies, and integrate sustainability principles into their teaching. These demands are compounded by limited access to professional development resources and growing pressures for educational sustainability. This study evaluates the potential of AI chatbots to address these challenges by enhancing the capacity of junior instructors to create and deliver effective, sustainability-aligned course materials. It introduces the TRAIN framework (Technology-enhanced Responsible AI Integration for Novice Instructors), a structured model designed to align AI capabilities with Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education) and SDG 4.c (Teacher Training). Through a systematic literature review (2019–2024), the research identifies key themes, including chatbot integration in education, AI’s capabilities and limitations, and its broader implications for accounting education. The findings demonstrate that AI chatbots can streamline content creation, provide personalized instructional support, and foster sustainable teaching practices. By bridging critical gaps in AI literacy and sustainability integration, the TRAIN framework offers a roadmap for empowering educators to meet evolving educational demands while advancing environmentally responsible teaching methodologies. © 2025 Elsevier B.V., All rights reserved.
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    Article
    Citation - WoS: 10
    Citation - Scopus: 15
    The Hesfs for Higher Education Funding, Employment and Sustainability
    (Emerald Group Publishing Ltd., 2020) Son Turan, Semen
    Purpose: The purpose of this paper is to develop a higher education funding and employment system that obviates barriers to sustainable development and helps engrain the notion of sustainability into the institutional framework. Design/methodology/approach: The “Higher Education Sustainability First System” (HESFS) is a conceptual model that builds upon ideas from previous literature. Its theoretical basis draws on a joint value creation framework from the stakeholder theory and business model perspectives. Findings: A holistic three-pillar approach that offers multiple value propositions is needed to engage the stakeholders to collaborate for the coherent functioning of the HESFS. This will enable the establishment of a viable innovative financial model and the institution of a sustainability-focused student employment program that are facilitated by a robust sustainable infrastructure. Several sustainable development goals may be furthered in the process. Research limitations/implications: The applicability of a part or entire HESFS depends on the characteristics of the higher education institution and the level of its maturity in a sustainable development process. Although its different constituents have been empirically validated in literature, the HESFS model could be applied in a case study to determine its potential feasibility. Practical implications: The HESFS may inspire policymakers, businesses and higher education institutions to forge alliances to devise innovative resources of funding and engage in employment partnerships that can lead to progress in sustainable development. It may particularly be useful for institutions in developing and less developed countries, where inequality and high youth unemployment rates prevail. Originality/value: By focusing on an under-researched topic through a multitheoretical perspective, this study contributes to theories pertaining to stakeholder engagement and business models. © 2020, Emerald Publishing Limited.
  • Thumbnail Image
    Book Part
    Citation - WoS: 2
    Citation - Scopus: 2
    Compliance and Reporting Trends: Essential Strategies
    (Springer, 2017) Son-Turan, Semen
    The digital age, with decreasing barriers to entry, paving the way for low-cost competition, saw an influx of new financial products and services globally. Soon the increasingly technology-driven financial landscape transformed itself with the democratization of finance diffusing to all levels of society. The standing rules and regulations of financial markets were confronted with an epitome of complexities marked by higher transparency, increased efficiencies, a wide range of substitutes, abundant information, a huge number of stakeholders and a bulk of aspiring entrepreneurs. However, a new game necessitates new rules, and a considerable disruption in old ways of doing is sure to witness unorthodox problems that need to be dealt with, and preferably foreseen, through a different lens. Sooner or later, these new digitally enhanced financial markets are destined to break down, dragging down everyone who once had faith in them, if not supported by proper compliance and corporate social performance and reporting standards. This chapter explores newly emerging trends in compliance and reporting standards for financial institutions.
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    Article
    The Impact of Investor Sentiment on the "leverage Effect"
    (Econometric Research Association, 2016) Son-Turan, Semen
    With the advent of the Internet and the availability of user search query data on a broaderscale, since the early 2000s researchers have started using collective search queryinformation instead of, or, in addition to, traditional investor sentiment proxies. Thisstudy examines whether the leverage (bad news) effect, as measured by theEGARCH (1,1) model, changes with the inclusion of a newly emerging sentiment proxy,internet search volume. The sample consists of 14 US companies belonging to theNASDAQ and NYSE Indices and 501 observations of data collected at weekly frequencyspanning a nine year period. Empirical findings suggest that, inclusion of the investorsentiment variable has no clear impact on the bad news effect; there is, however, adiscernible increase in volatility persistence. The implications of the findings are that theinvestor sentiment proxy has additional informational content. Behavioral finance theoryand the availability and social proof heuristics serve as potential explanations for suchfindings.
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    Article
    Citation - WoS: 31
    Citation - Scopus: 39
    Lean, Green and Clean? Sustainability Reporting in the Logistics Sector
    (MDPI, 2019) Lambrechts, Wim; Semeijn, Janjaap; Son-Turan, Semen; Reis, Lucinda
    Transport and logistics activities contribute heavily to global sustainability problems, yet the implementation of corporate social responsibility and sustainability reporting in the sector lags behind. This paper aims to analyze sustainability reporting in the logistics sector, with focus on environmental, social and economic indicators. An extensive operationalization of sustainability indicators is used to examine and analyze the sustainability reports of 52 organizations in the logistics sector worldwide. Results show that the sector does not agree on the materiality of sustainability indicators. Furthermore, sustainability reporting seems to be incompatible with daily operations, leading to obscurity in reports. This contrast, between the necessary existence of organizations in the logistics sector and their undesirable environmental and social effects, calls for future research into how organizations are coping with this paradox. A viable way forward is needed in order to ensure materiality in the sectors’ efforts toward sustainability reporting.
  • Thumbnail Image
    Conference Object
    Flipping the Business World
    (2016) Son Turan, Semen
    ...
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    Article
    Internet Search Volume and Stock Return Volatility: the Case of Turkish Companies
    (IFRD, 2014) Son-Turan, Semen
    This study analyzes the relationship of the volatility of stock returns and internet search volume (ISV). The dataset consists of 10 Turkish companies listed on the BIST-100 Index of Borsa Istanbul, and encompasses the period between January 2004-September 2013. The GARCH (1,1) model is applied with two alternative mean specifications. The use of the novel exogenous variable ISV as proxy for investor sentiment is complemented through the inclusion of trading volume.Results show that as the GARCH (1,1) model becomes increasingly nested, volatility persistence declines with however no case of a vanishing G(ARCH) effect.
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    Article
    Intertemporal Changes in Risk Dynamics of Different Kinds of Banks
    (2016) Son Turan, Semen
    ...
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    Article
    X-Capm Revisited: the Institutional Extrapolative Capital Asset Pricing Model (i-X
    (Eurasian Publications, 2018) Son Turan, Semen; Kılıç, Erdem
    This study constructs and tests a consumption-based asset pricing model in which someinvestors form beliefs about future price changes in the stock market by extrapolating past pricechanges, while other investors hold fully rational beliefs. The contribution of the present work isthe inclusion of institutional investor bias. As such it extends theory. But it also conductseconometric tests by using daily survey data on individual and institutional investors’ sentimenton the current economic situation and their future expectations. Empirical findings may implythat institutions’ sentiment reverts quicker to the equilibrium price than individual sentiment, atleast with regard to their beliefs on future economic outlook. If studied further with a biggerdataset, it may imply that institutional investors are closer to the rational-decision makingmechanism compared to individual investors. The theoretical framework rests on prospecttheory. The market studied is the US equity market, however findings and suggestions can beapplied to global markets and various financial instruments.
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    Conference Object
    Prediction of Loan Decisions With Optical Neuroimaging (fnirs) and Machine Learning
    (IEEE, 2023) Girişken, Yener; Son Turan, Semen; Çakar, Tuna; Ertuğrul, Seyit; Sayar, Alperen
    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.