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This article discusses how netnography can be applied to conduct covert research on sensitive research topics. The popular Dolap application is used as a case study. The research consists of a literature review covering the historical development and benefits of netnography, a qualitative analysis method, and a content analysis of a popular online application. Empirical findings show that consumers communicate about bargaining and product features while shopping through this application. The opportunity to mask and conceal their identity allows them to freely express their attitudes, thoughts, and experiences, and to openly ask questions. This article aims to demonstrate that netnography is a suitable methodology for researching sensitive topics, enabling researchers to obtain more reliable results regarding consumers' opinions, motivations, concerns, and what they pay attention to and communicate about with sellers or buyers in an inconspicuous and covert manner.

The aim of this study is to examine the changes in the foreign trade volume between Türkiye and the European Union (EU) following the European Green Deal and to evaluate the effects of this process on Türkiye’s foreign trade structure. The study is significant in terms of revealing the possible impacts of the European Green Deal and the Carbon Border Adjustment Mechanism (CBAM) on Türkiye–EU trade relations. In particular, environmentally friendly production, the reduction of carbon emissions, and the reflections of sustainable trade policies on foreign trade constitute the main focus of the research. In the study, a quantitative research method was adopted and descriptive analysis techniques were utilized. During the data collection process, foreign trade statistics for the 2019–2025 period published by the Turkish Statistical Institute (TurkStat) were used. As a result of the study, it was determined that Türkiye’s foreign trade volume with the EU generally increased; however, environmental regulations and carbon-oriented practices became more decisive in trade processes after the European Green Deal. In addition, it is considered that CBAM may create new costs and compliance obligations for Turkish exporters.

Rapid developments in information and communication technologies have significantly transformed information access processes and institutional service delivery. Libraries, as institutions affected by this transformation, have shifted from traditional service models toward digital, accessible, and user-oriented service approaches supported by technological innovations. The widespread use of internet technologies, Web 2.0 applications, and digital resources has changed users’ information-seeking behaviors and increased expectations from library services. This study aims to examine the digital transformation process in libraries and determine academics’ awareness and expectations regarding digital library services. In this context, the information-seeking behaviors, information access preferences, and evaluations of digital library services among academics at Necmettin Erbakan University were examined. A qualitative research design was adopted, and semi-structured interviews were conducted with 19 academics from different academic units. The collected data were analyzed through content analysis using MAXQDA 18 software. The findings show that academics primarily prefer internet-based resources for accessing information. Participants highlighted that digital library services provide advantages such as fast and easy access to information, remote accessibility, time and cost savings, and resource preservation. However, challenges including information reliability, information overload, limited resource diversity, and insufficient awareness of digital services were identified. The study concludes that digital transformation has positively contributed to the development of library services. However, digital services need to be continuously improved according to changing user needs and expectations. The findings provide important insights for developing innovative and sustainable service models in the digital transformation process of libraries.

The increasing global demand for energy, the necessity of combating climate change, and the 2050 net-zero carbon emission targets have made it essential to plan renewable energy investments through scientific approaches that simultaneously consider environmental and economic dimensions. This study aims to identify spatially suitable areas for solar energy investments in Tunceli Province and evaluate their potential contributions to the regional economy and sustainable development. To this end, a suitability analysis was conducted by integrating the Best–Worst Method (BWM), one of the Multi-Criteria Decision-Making (MCDM) techniques, with Geographic Information Systems (GIS) based on technical, environmental, and economic criteria. The criteria weights were calculated using the BWM, and the resulting weights were integrated into the GIS environment to produce solar energy investment suitability maps for Tunceli Province. The originality of the study lies in the development of a BWM-based regional decision support model that evaluates solar energy investments not only from a technical perspective but also by considering the region's topographical characteristics, environmental sensitivities, and socio-economic conditions. The findings indicate that the investment potential is not spatially homogeneous across the province. In particular, the districts of Mazgirt, Pertek, and Çemişgezek exhibit high suitability for solar energy investments, whereas the investment potential in Ovacık and Pülümür is limited due to topographical and environmental constraints.

This study aims to empirically examine the relationship between industrial electricity consumption and economic growth in Türkiye over the period 1991–2023. Electricity energy is one of the fundamental inputs of industrial production and plays a strategic role in ensuring sustainable economic growth. In this study, the relationships between industrial electricity consumption and key economic indicators such as industrial employment, industrial value added, and industrial output are analyzed using econometric methods. The analysis seeks to identify the direction and nature of long-run interactions among the variables. The findings are expected to contribute to the evaluation of energy and industrial policies in Türkiye by providing empirical evidence on the role of electricity consumption in economic growth. In this context, the study aims to enrich the existing literature by offering sector-specific insights into the electricity–growth nexus.