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The purpose of the research is to test the effect of intellectual capital efficiency on firm profitability and firm value of firms operating in the information and communication technologies sector in Borsa Istanbul (BIST). The research sample consists of thirteen firms and covers the years between 2010 and 2020. The relationship between the effectiveness of intellectual capital components and firm performance is tested by constructing two different models and panel regression analysis. The dependent variables in the models are ROA (Return on Assets) and MTB (Market Value / Book Value) and the independent variables are the efficiency coefficients of the components in the VAICTM (Value Added Intellectual Capital Coefficient) model (HCE - human capital efficiency, SCE - structural capital efficiency, CEE - working capital efficiency). According to the research findings, the impact of intellectual capital components on firm performance is quite limited. Among the intellectual capital efficiency coefficients, only CEE has a positive effect on ROA. There is no relationship between intellectual capital efficiency components and MTB. [ABSTRACT FROM AUTHOR]

The information and communication technologies of the 21st century use digital user data as a technical tool and aim to increase the efficiency and profitability of industrial production through the use of advanced data analysis technologies. Big data technologies carry out continuous surveillance on internet users and can reach accurate inferences through advanced analysis methods by using data generated by users. The ability of big data analysis techniques to collect and process detailed behavioral data about users raises concerns regarding the privacy and confidentiality of user data. This study, which provides a summary of the developmental stages of data technologies and analyses the dangers contained in these technologies in connection with the ongoing and new dynamics of capitalism, includes a survey of 307 people. The survey consists of questions that measure participants' levels of caution and anxiety regarding their personal and behavioral data, internet usage habits, digital skills, and awareness levels of data privacy breaches. The sample included students selected from the Departments of Sociology, Philosophy and Computer Engineering at Hacettepe University and technology company employees at Hacettepe Teknokent to include three different levels of technological expertise. The study found that participants were also more likely to be concerned about their behavioral and sensitive data as their frequency of daily internet use increased. Users' attitudes to behavioral data vary according to their frequency of daily internet use and the level of expertise of the participants. Participants demonstrated a high level of awareness of online profiling, but the habit of keeping data regarding their online behavior private is not widespread. When the findings are evaluated broadly, it is noted that participants with a limited knowledge of the profiling capacity of data technologies are unable to maintain behavioral data confidentiality. This research has limitations in the context of the sample's capacity to represent the research universe. However, it is thought that it will prove useful in drawing the historical background for the development of big data technologies, analysing this technology within the dynamics of capitalism and in drawing attention to the differences between users' approach to personal data and behavioral data. [ABSTRACT FROM AUTHOR]

The aim of the study is to investigate the extent to which the quality performance will be changed by transferring the processes in the coating section of the home textile production enterprise to the automation system. The effects of total quality on the efficiency of companies were investigated. The supporting role of total quality management with information communication technologies is examined. For this purpose, an intermediary model has been created. The data were obtained from the employees of the coating department of a company operating in the textile sector. As a result of the analysis of the model, the full mediation role of TQM applications in relation to TQM-ICT awareness and quality performance was determined. [ABSTRACT FROM AUTHOR]