Manuscript – BUSINESS AND ECONOMICS RESEARCH JOURNAL

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Stepping into the Era of Artificial Intelligence in Human Resource Management: A Qualitative Study on Professionals’ Experiences

Posted on Wednesday January 14th, 2026Wednesday January 14th, 2026 by editor

Article Information

Journal:	Business and Economics Research Journal
Title of Article:	Stepping into the Era of Artificial Intelligence in Human Resource Management: A Qualitative Study on Professionals’ Experiences
Author(s):	Fatma Zehra Yıldız
Volume:	17
Number:	1
Year:	2026
Page:	151-168
ISSN:	2619-9491
DOI Number:	10.20409/berj.2026.491

Abstract

The aim of this study is to thoroughly examine the experiences of human resources professionals in Türkiye with artificial intelligence (AI) applications within the framework of human resources functions. The research was structured using a qualitative methodology. Participants in the study consisted of human resources professionals working in private sector organizations in Türkiye. The data were analyzed using thematic analysis. This study shows that AI applications in human resources are still in the development phase, that participants are increasingly turning to these technologies, but that human interaction is still indispensable in digital processes. The results of the study show that AI and generative AI are used in recruitment, training, performance management, operational processes, and human resources analytics. It has been revealed that AI applications are particularly concentrated in the recruitment function. According to the study, human resources professionals view AI not as a competitor but as a complementary tool that lightens their workload. This study aims to contribute to the literature and practitioners in this field by presenting experiences related to AI-powered talent hunting, video interview analysis, improving employee experience, candidate prediction, and predicting employee turnover.

Keywords:

Human Resource Management, Artificial Intelligence, Generative Artificial Intelligence, Recruitment, Qualitative Research

JEL Classification:

M12, 033

Full Text ( ↓ 62)

Knowledge Management in Family Businesses: A Model Proposal Based On Qualitative Findings

Posted on Wednesday January 14th, 2026Wednesday January 14th, 2026 by editor

Article Information

Journal:	Business and Economics Research Journal
Title of Article:	Knowledge Management in Family Businesses: A Model Proposal Based On Qualitative Findings
Author(s):	Emine Şener
Volume:	17
Number:	4
Year:	2026
Page:	133-149
ISSN:	2619-9491
DOI Number:	10.20409/berj.2026.490

Abstract

Family businesses are characterized by unique structures where knowledge management processes are shaped through intergenerational transfer, tacit knowledge, and trust-based relationships. Despite this, theoretical and contextual analyses of how knowledge is managed within such organizations remain limited. This study offers an exploratory model proposal developed from 14 papers presented at the Türkiye Family Business Congress between 2004–2024. The proposal is not a generalizable model, but rather a conceptual mapping derived through content analysis. The research is grounded in Charmaz’s (2008) constructivist grounded theory methodology. Data were analyzed through open, axial, and selective coding. The findings reveal that “knowledge application” is the most emphasized process, indicating a practical and experience-based orientation in family firms. Conversely, “knowledge creation” and “external knowledge integration” remain underdeveloped. Recent papers increasingly highlight themes such as digitalization, information security, and institutionalization. The results suggest that internal dynamics primarily drive knowledge management in family businesses, while strategic knowledge capabilities remain limited. Proposed conceptual model aligns with the knowledge-based view and contributes to a theoretical understanding of knowledge management practices specific to family businesses contexts.

Keywords:

Family Business, Knowledge Management, Knowledge Application, Intergenerational Knowledge Transfer

JEL Classification:

M10, M14, M15

Full Text ( ↓ 75)

Turkish Adaptation of the Green Shared Vision Scale: A Validity and Reliability Study

Posted on Wednesday January 14th, 2026Wednesday January 14th, 2026 by editor

Article Information

Journal:	Business and Economics Research Journal
Title of Article:	Turkish Adaptation of the Green Shared Vision Scale: A Validity and Reliability Study
Author(s):	Mehmet Alper Akdemir, Mine Elagöz, Canan Gamze Bal
Volume:	17
Number:	1
Year:	2026
Page:	119-132
ISSN:	2619-9491
DOI Number:	10.20409/berj.2026.489

Abstract

The aim of this study is to adapt the “green shared vision” scale, originally developed by Jansen et al. (2008) and later contextualized within environmental sustainability by Chen et al. (2015), into Turkish and to test its validity and reliability. The scale was administered to a sample of 211 employees working in the sustainability and R&D departments of various private sector enterprises operating in the TR63 region (Hatay, Kahramanmaraş, Osmaniye) in Türkiye. The results of the exploratory factor analysis indicate that the four-item scale possesses a unidimensional structure, explaining 74.56% of the total variance. Subsequently, confirmatory factor analysis demonstrates that the overall model fit indices fell within acceptable limits, confirming the structural integrity of the scale. The findings provide evidence that the Turkish version of the scale is a valid and reliable measurement instrument and that the study contributes to the methodological advancement of research on environmental awareness and sustainability by offering a robust and culturally adapted tool, thereby addressing an existing gap in the literature.

Keywords:

Vision, Green Shared Vision, Environmental Awareness, Sustainability, Organizational Behavior, Organization Culture

JEL Classification:

M01, D23, Q00, Q01

Full Text ( ↓ 69)

Online Narratives of Shopping Addiction: A Thematic and Emotional Analysis of YouTube Comments

Posted on Wednesday January 14th, 2026Wednesday January 14th, 2026 by editor

Article Information

Journal:	Business and Economics Research Journal
Title of Article:	Online Narratives of Shopping Addiction: A Thematic and Emotional Analysis of YouTube Comments
Author(s):	Nur Özer Canarslan
Volume:	17
Number:	1
Year:	2026
Page:	101-117
ISSN:	2619-9491
DOI Number:	10.20409/berj.2026.488

Abstract

The rapid advancement of digitalization and the widespread adoption of social media have significantly changed shopping behaviors, transforming shopping into an experience with emotional, social, and cultural dimensions. This research investigates shopping addiction by analyzing natural digital narratives, focusing on how individuals articulate their experiences and emotions in online contexts. Data were obtained from 102 user comments posted under a YouTube video addressing shopping addiction. Through thematic analysis, each comment was examined line by line, and recurring concepts were organized into themes and sub-themes. Emotional tones were coded to capture the affective aspects of these narratives. The analysis identified five principal themes: emotional and psychological factors; social, cultural, and media influences; economic constraints; minimalism and consumption awareness; and spiritual or value-oriented perspectives. Drawing on these findings, the study introduces the “online shopping addiction awareness spectrum model,” which outlines the progression from unconscious immersion to conscious resistance and identifies novel behaviors such as “preventive consumption anxiety” induced by economic stress. Increased user awareness and alternative consumption practices, including simplification and minimalism, were observed as forms of resistance. The results underscore shopping addiction as a complex phenomenon at the intersection of individual, social, and cultural dynamics. By examining spontaneous online narratives, this study advances the literature on consumer behavior. It demonstrates the utility of qualitative methods for identifying both risk factors and resistance strategies associated with shopping addiction.

Keywords:

Shopping Addiction, Online Narratives, Economic Stress, Preventive Consumption Anxiety, Online Shopping

JEL Classification:

M31, L81, D12

Full Text ( ↓ 69)

What Factors Influence the Adoption of Electric Vehicles? A Study in Türkiye Using the Extended Car Technology Acceptance Model (CTAM)

Posted on Wednesday January 14th, 2026Wednesday January 14th, 2026 by editor

Article Information

Journal:	Business and Economics Research Journal
Title of Article:	What Factors Influence the Adoption of Electric Vehicles? A Study in Türkiye Using the Extended Car Technology Acceptance Model (CTAM)
Author(s):	Şafak Atay
Volume:	17
Number:	1
Year:	2026
Page:	55-79
ISSN:	2619-9491
DOI Number:	10.20409/berj.2026.487

Abstract

This study investigates the factors influencing the adoption of electric vehicles (EVs) in Türkiye using an extended car technology acceptance model (CTAM). Data was collected from 416 respondents via an online survey and analysed using partial least-squares structural equation modelling (PLS-SEM). The model encompasses variables such as performance expectancy, effort expectancy, social influence, facilitating conditions, price value, perceived risk, environmental concern, policy measures, mass media, attitude towards technology, and experience. The findings indicate that behavioural intention is highly influenced by attitude towards technology, price value, perceived risk, and policy measures, with mass media exerting both direct and moderating impacts. In contrast, environmental concern and the traditional constructs of the unified theory of acceptance and use of technology (UTAUT)—performance expectancy, effort expectancy, and social influence—were not deemed significant. The findings emphasise the need to consider contextual factors, demonstrating that media initiatives and governmental incentives are essential for expediting the adoption of electric vehicles in developing countries.

Keywords:

Electric Vehicles, CTAM, UTAUT, Behavioural Intention, Attitude Towards Technology

JEL Classification:

M30, M31, M39

Full Text ( ↓ 70)

How Do Investors Price Gender Equality? Evidence from Turkish Firms in the Bloomberg Gender Equality Index

Posted on Wednesday January 14th, 2026Wednesday January 14th, 2026 by editor

Article Information

Journal:	Business and Economics Research Journal
Title of Article:	How Do Investors Price Gender Equality? Evidence from Turkish Firms in the Bloomberg Gender Equality Index
Author(s):	Binali Selman Eren
Volume:	17
Number:	1
Year:	2026
Page:	35-53
ISSN:	2619-9491
DOI Number:	10.20409/berj.2026.486

Abstract

The objective of this study is to investigate whether the inclusion announcements of Turkish companies in the Bloomberg Gender Equality Index (GEI) generate a significant market reaction on the stock returns of these companies. In this context, an event study analysis is conducted based on the inclusion announcements of 12 Turkish companies between 2017 and 2023. The market model is employed to calculate abnormal returns (AR), with the BIST 100 index serving as the benchmark. Using the event study methodology, average abnormal returns (AAR) are first obtained over a 21-day window spanning 10 days before and 10 days after the announcement dates. Additionally, cumulative average abnormal returns (CAAR) and precision-weighted CAAR (PWCAAR) are calculated across six different time windows to assess cumulative effects. The findings indicate that AAR values are positive and statistically significant in the pre-announcement periods (-7, -6, and -1), on the announcement day (0), and post-announcement periods (+3 and +5). While CAAR and PWCAAR values are positive across all windows, statistical significance is observed only in the (-7…0) window. The findings indicate that investors generally respond positively to corporate commitments to gender equality and are sensitive to such practices; however, the effect appears to be short-term and fluctuating. In this context, in order to strengthen investor perception and contribute to a more stable impact, it may be beneficial for companies to enhance their gender equality practices in a more consistent manner through transparency, governance, regular reporting, and long-term strategic planning.

Keywords:

Gender Equality, Bloomberg Gender Equality Index, Event Study, Borsa Istanbul

JEL Classification:

J16, G14, G30

Full Text ( ↓ 149)

Hybrid Based Dynamic Clustering Analysis of Energy Transformation in the Context of International Climate Agreements

Posted on Wednesday January 14th, 2026Wednesday January 14th, 2026 by editor

Article Information

Journal:	Business and Economics Research Journal
Title of Article:	Hybrid Based Dynamic Clustering Analysis of Energy Transformation in the Context of International Climate Agreements
Author(s):	Mehmet Fatih Sert
Volume:	17
Number:	1
Year:	2026
Page:	15-34
ISSN:	2619-9491
DOI Number:	10.20409/berj.2026.485

Abstract

The study examines the effects of international climate agreements on countries’ energy profiles from a time series perspective. Over 200 countries were analysed across three distinct phases during the 1990–2024 period: pre-Kyoto (1990–1996), post-Kyoto (1997–2014), and post-Paris (2015–2024). This study aims to examine the dynamic effects of the Kyoto and Paris Agreements on energy transformation. In the first stage, similarities and differences between countries’ energy profiles were analysed using a time series clustering method based on dynamic time warping (DTW). Subsequently, the extent to which the cluster structures obtained in different time periods showed consistency was evaluated using the adjusted Rand index (ARI). Finally, the key energy indicators distinguishing the clusters were determined using the random forest algorithm. The findings indicate that fossil intensity was decisive before Kyoto, while hydropower came to the fore during the Kyoto period. In the Paris period, low-carbon and renewable indicators became dominant, demonstrating the differentiating effects of the agreements. Furthermore, it is understood that, in contrast to Kyoto’s limited effects, Paris offers a more inclusive and sustainable framework. This study contributes an original method to the literature that combines dynamic analysis, stability measurement and explainability dimensions. Furthermore, this method provides an objective data basis for policymakers to monitor countries’ compliance with agreements and identify priority indicators.

Keywords:

Dynamic Time Warping (DTW), Random Forest, Adjusted Rand Index (ARI), Energy transformations, Kyoto and Paris Agreements

JEL Classification:

C82, C55, Q56

Full Text ( ↓ 65)

Natural Resource Rents, Geopolitical Risk, and Environmental Pollution: Evidence from Türkiye

Posted on Wednesday January 14th, 2026Wednesday January 14th, 2026 by editor

Article Information

Journal:	Business and Economics Research Journal
Title of Article:	Natural Resource Rents, Geopolitical Risk, and Environmental Pollution: Evidence from Türkiye
Author(s):	Fatma Kızılkaya, Oktay Kızılkaya, Faruk Mike
Volume:	17
Number:	1
Year:	2026
Page:	1-13
ISSN:	2619-9491
DOI Number:	10.20409/berj.2026.484

Abstract

Türkiye’s strategic geographical position and growth trajectory significantly shape its natural resource rents, environmental sustainability, and policy orientation. The primary objective of this study is to examine the long-run relationship between natural resource rents, geopolitical risk, and environmental degradation—proxied by the ecological footprint—in Türkiye over the period 1985–2021. To this end, the study employs the Fourier-based RALS-ADL cointegration approach, which allows for structural breaks and nonlinear adjustments in the data. The empirical results confirm the existence of a long-run equilibrium relationship among the variables. Natural resource rents, economic growth, and energy consumption exert positive and statistically significant effects on the ecological footprint, whereas geopolitical risk has a negative and significant impact. The positive effect of natural resource rents on the ecological footprint can be attributed to intensified resource extraction and energy-intensive production, whereas the negative impact of geopolitical risk likely reflects contractions in economic activity and investment under heightened uncertainty, thereby reducing environmental pressure. The main contribution of this study is to account for multiple and unknown structural changes and to provide more robust long-term inferences using the Fourier-based RALS-ADL methodology. Overall, the evidence emphasizes the necessity of a holistic policy framework that simultaneously considers natural resource management, geopolitical dynamics, economic expansion, and energy consumption in order to achieve environmental sustainability in Türkiye.

Keywords:

Natural Resource Rents, Geopolitical Risk, Ecological Footprint, Environmental Sustainability, RALS Fourier ADL Cointegration

JEL Classification:

F64, P28, C32

Full Text ( ↓ 87)

ChatGPT Interactions: An Integrated TAM–CRT Approach to Online Purchase Intent

Posted on Thursday December 4th, 2025Wednesday January 14th, 2026 by editor

Article Information

Journal:	Business and Economics Research Journal
Title of Article:	ChatGPT Interactions: An Integrated TAM–CRT Approach to Online Purchase Intent
Author(s):	Uğur Dagtekin, Ahmet Kâmil Kabakuş
Volume:	17
Number:	1
Year:	2026
Page:	81-99
ISSN:	2619-9491
DOI Number:	10.20409/berj.2025.483

Abstract

Generative artificial intelligence (GenAI) refers to artificial intelligence models that can generate new content, such as text, images, videos, or audio, by learning from large amounts of data. These technologies influence consumer purchasing approaches by providing personalized recommendations, product descriptions, and decision support in online shopping processes. This study examines the effects of interactions with ChatGPT, a generative AI application, on attitude toward use and online purchase intention within an integrated framework of the technology acceptance model (TAM) and cognitive response theory (CRT). The study tests the effects of interactions on cognitive responses such as trust and curiosity, as well as on acceptance beliefs such as perceived usefulness and perceived ease of use, and the relationships between these variables and attitude and intention. Data was collected via an online survey from participants aged 18 and over who had previous experience with ChatGPT, and the data from 507 participants was analyzed. Descriptive statistics and confirmatory factor analysis were applied in the data analysis; after the validity of the scales was confirmed, the hypotheses were tested using structural equation modeling. The findings reveal that ChatGPT interactions have significant effects on trust, curiosity, perceived usefulness, and ease of use. Specifically, trust was found to play a strong role in shaping attitudes, while curiosity played a moderate role; purchase intention was essentially shaped through attitude. The results emphasize that trust- and curiosity-focused interaction designs are critical levers in shaping user attitudes and intentions.

Keywords:

ChatGPT, Cognitive Response Theory, Technology Acceptance Model, Purchase Intention, GenAI

JEL Classification:

D83, L81, M31, O33

Full Text ( ↓ 57)

The Role of Psychological Well-Being and Proactive Personality in the Relationship Between Organizational Justice and Employee Voice Behavior

Posted on Tuesday October 21st, 2025Wednesday October 22nd, 2025 by editor

Article Information

Journal:	Business and Economics Research Journal
Title of Article:	The Role of Psychological Well-Being and Proactive Personality in the Relationship Between Organizational Justice and Employee Voice Behavior
Author(s):	Meltem Turan Aydın, Güler Dinçel Yanık
Volume:	16
Number:	4
Year:	2025
Page:	569-585
ISSN:	2619-9491
DOI Number:	10.20409/berj.2025.482

Abstract

The aim of this study is to examine the moderating role of proactive personality in the effect of organizational justice on voice behavior through psychological well-being. Research data were collected through a purposive sampling method from 527 employees working in the automotive sector in the Marmara Region, in Türkiye, using a questionnaire. The data were analyzed using regression analysis. The findings of the study reveal that organizational justice has a significant and positive effect on employees’ voice behavior. Furthermore, psychological well-being plays a mediating role in this relationship. In addition, proactive personality moderates the relationship between psychological well-being and voice behavior. Finally, the indirect effect of organizational justice on voice behavior through psychological well-being differs significantly depending on the level of proactive personality, with this effect being stronger among individuals with high levels of proactive personality. These results indicate that enhancing employee voice behavior requires the integration of both psychological and personality-based resources.

Keywords:

Organizational Justice, Psychological Well-Being, Proactive Personality, Employee Voice Behavior

JEL Classification:

M12, M14, D23

Full Text ( ↓ 544)