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The major aim of study was to determine the chicken meat producer's optimal selling times.

The method used for this purpose was Wald, Benefit and Regret criterions of Game Theory. The transformed Wald, Benefit and Regret linear programming models were solved to find the optimal solution. The data consisted of monthly chicken meat prices received by producers between 2000‐2007, which were obtained from the Poultry Meat Producers and Breeders Association.

The optimal solutions of Wald and Benefit criteria showed that June was the best selling month for chicken meat producers in Turkey. August was found to be the optimal selling month according to the Minimum regret criterion. In light of the Maximum criterion it was concluded that the producers would be at highest regret positions with 98.28 percent in event of selling in November.

The results found in this study could be an indicator for individual chicken producers for a more competitive bargaining power when they make a contract with chicken meat production and marketing firms.

The purpose of this paper is to perform a comparative assessment of the urban and rural households’ preferences of fresh mutton meat consumption in Hakkari, Turkey.

The sample size consisted of 95 rural and 95 urban households. The data were collected from November 2007 until May 2008 intermittently. Probity and Heckman Models were used in the study.

Price elasticity of mutton meat demand was calculated as –0.242, which reveals the mutton meat is a compulsory good in the research area. Income elasticity of mutton meat was found as 0.39, which shows relatively satisfactory amount of mutton meat is consumed. However, there existed great differences in terms of mutton meat consumption per capita among the income groups.

The findings in the study may contribute to the mutton meat producers and marketers in the region when planning their production and marketing strategies.

In friction welding of dissimilar joint method, few material compositions are not possible to weld effectively. For better dissimilar metal joining in friction welding, the interlayer techniques are used by the third metal to increase the diffusion for suitable metal bonding. The interlayer metals are popularly held by coating, foils, sheet and solid rod form. The coating method needs more care for surface preparation with special coating equipment with high workmanship. In case of foil as intermediate metal, more care is neededfor holding between the metal; most of the time this technique has the possibility of failure by peeling off from the contact surface during high speed rotation with pressure during friction generation.

In this investigation, a copper coin was machined to a suitable size (transition fit) to suit the recess inside the SS rod. The mating surfaces of Cu coin, SS rod and Ti alloy were machined, polished to mirror finish and handled in friction welding machine. The purpose of the transition fit between the coin and SS rod is for holding the same intact before the beginning of the process.

Successful joint was achieved with good joint strength at less time. Empirical models were established to fin out the joint strength at any given parameter within the range of investigation

The models developed can be used only within the range of investigation considered for experimentation.

The paper includes implications for the development of a method of joining any dissimilar joints

In this investigation, a copper coin was machined to a suitable size (transition fit) to suit the recess inside the SS rod. The mating surfaces of Cu coin, SS rod and Ti alloy were machined, polished to mirror finish and handled in friction welding machine. The purpose of the transition fit between the coin and SS rod is for holding the same intact before the beginning of the process.

The world is increasingly threatened by climate change. As the dimensions of this danger grow, it becomes essential to develop the most effective policies to mitigate its impacts and adapt to these new conditions. Technology is one of the most crucial components of this process, and this study focuses on examining climate change adaptation technologies. The aim of the study is to investigate the entire spectrum of technology actors and to concentrate on the technology citation network established from the past to the present, aiming to identify the core actors within this structure and provide a more comprehensive outlook.

The study explores patent citation relationships using social network analysis. It utilizes patent data published between 2000 and 2023 and registered by the US Patent and Trademark Office.

Study findings reveal that technologies related to greenhouse technologies in agriculture, technologies for combatting vector-borne diseases in the health sector, rainwater harvesting technologies for water management, and urban green infrastructure technologies for infrastructure systems emerge as the most suitable technologies for adaptation. For instance, greenhouse technologies hold significant potential for sustainable agricultural production and coping with the adverse effects of climate change. Additionally, ICTs establish intensive connections with nearly all other technologies, thus supporting our efforts in climate change adaptation. These technologies facilitate data collection, analysis, and management, contributing to a better understanding of the impacts of climate change.

Existing patent analysis methods often fall short in detailing the unique contributions of each technology within a technological network. This study addresses this deficiency by comprehensively examining and evaluating each technology within the network, thereby enabling us to better understand how these technologies interact with each other and contribute to the overall technological landscape.

The building and construction industry has a significant potential to reduce adverse climate change effects. There are plans to improve the natural resource use and greenhouse gas emissions caused by the buildings by choosing energy-efficient technologies, renewable energy sources and sustainable architectural and constructional elements. This study systematically reviews the patent data for climate change mitigation technologies related to buildings, aiming to detect their relative importance and evaluate each technology in the Y02B network.

The applied approach covers the process of (1) selecting high-impact technology, (2) collecting patent data from the USPTO database, (3) creating a citation frequency matrix using cooperative patent classification codes, (4) linking high-impact patents with analytical network process method, (5) limiting centrality of identifying core technologies from indicators and (6) creating a technology network map with social network analysis.

The study results show that energy-saving control techniques, energy-efficient lighting devices, end-user electricity consumption, management technologies and systems that convert solar energy into electrical energy are core solutions that reduce the effects of climate change. In addition, solutions that will support core technologies and whose effects are expected to increase in the coming years are energy-efficient heating, ventilating and air conditioning systems, smart grid integration, hybrid renewable energy systems, fuel cells, free cooling and heat recovery units and glazing technologies.

Most of the studies on patent analysis have failed to demonstrate any convincing evidence down to the lowest component groups of an entire technology network. The applied approach considers and evaluates each component included in a technology network from a holistic perspective.

The aim of the study was to survey the relationships between organizational justice perceptions and turnover intention by using meta-analysis and to determine the possible moderators affecting these relationships.

In total, 83 correlation values were used. Comprehensive meta-analysis software (CMA) was used to analyze the collected studies. Heterogeneity and publication bias of each data set were tested.

Each data were heterogeneous and included no publication bias. The results suggested that the effect size of distributive justice on turnover intention is −0.396, interactional justice on turnover intention is −0.341, interpersonal justice on turnover intention is −0.361, informational justice on turnover intention is −0.358, procedural justice on turnover intention is −0.369 and overall organizational justice on turnover intention is −0.436. Region was a moderator for the relationship between distributive justice and turnover intention.

The results of the study can provide guidance to the future researchers. Moreover, the managers can use these results for the implementation of organizational strategies and policies.

The purpose of this paper is to investigate the mediating role of psychological needs in the association between individualism and internet addiction.

A mixed-method design was used by comprising of 602 college students’ (70.3 percent women) responses obtained through the Individualism-Collectivism Survey, New Needs Assessment Questionnaire, and Internet Addiction Scale. Structural equation modeling techniques were used to investigate the theoretical relationships among the constructs. Constant comparative method was employed to analyze qualitative data that resulted from the transcription of semi-structured interviews with 12 field experts.

Quantitative results showed that individualism has a significant effect on internet addiction through affiliation, dominance, achievement, and autonomy (i.e. psychological needs). As students’ needs for dominance, achievement, and autonomy increased their internet addiction levels decreased. However, increase in the need of affiliation led to increase in the likelihood of internet addiction. Qualitative findings suggested alternative ways to satisfy psychological needs in socially more proper ways.

Psychological needs and internet addiction have long been investigated both independently and in relation to each other. However, the investigation of espoused culture (i.e. individualism) in relation to psychological needs and internet addiction is relatively recent. A review of the recent literature showed that an investigation of the mediating role of psychological needs in the effect of individualism on internet addiction is highly original. Moreover, initial quantitative results and follow-up qualitative findings help the authors understand psychological needs underlying internet addiction and suggest socially more appropriate means to satisfy these needs. Findings have theoretical values for researchers as well as practical values for those who work with students.

The purpose of this study is to identify the characteristics of employee loyalty and counter-productive work behaviour (CWB) among employees working in the Indian hospitality sector. The study also compared the status of employee loyalty among managers, who exhibit either very high and or very low traits of CWB. The study also examined the factors responsible for the high tendency of employee loyalty and for that of CWB.

Primary data were collected by using questionnaire and interview methods from employees and managers working in hotels situated in the National Capital Region (NCR), Delhi, India. A sample of total 220 junior and middle level managers and other employees was taken and a selected sample was tested for tendencies of employee loyalty and CWB and analyzed to interpret the findings.

The findings reveal that the tendency of employee loyalty among managers in the hospitality sector was high, whereas the status of CWB was low. Results also predicted that the tendency of employee loyalty was high among the managers with low traits of counter-productive behaviour and very low among managers with a higher tendency of CWB. Factors such as compensation and benefits, job security and growth and satisfaction were found to be responsible for high tendency of employee loyalty; the controlling of factors such as ignoring or arguing with others, physically damaging organizational property, stealing organizational or employee’s property, intentionally working slowly, doing work incorrectly, neglecting to follow procedures, taking longer breaks than allowed, coming late and leaving early was responsible for a high degree of CWB.

This study was conducted by involving lower and middle level hospitality sector managers in the NCR Delhi region only. To generalize the findings effectively, a more comprehensive study should be conducted that also involves senior level managers.

There are relatively few prior studies of the factors addressed in this study which has sought to explore an under-research aspect of workplace behaviour.

The issue of training and appointment of school administrators has consumed substantial attention from educational scholars for several decades. The literature has witnessed a growing amount of research effort in investigating and identifying the effective ways of training and appointing school principals. However, there are also political, social and cultural aspects to this endeavour, which potentially influences the practices pertaining to training and appointment of school principals. This chapter represents scholarly efforts to discuss issues on the training and appointment of school administrators in Turkey within its historical and political background. Thus, first, it focuses on the historical journey of the field of educational administration in Turkey. This journey has been categorised under three phases: The Ottoman Era, Early Years of Turkish Republic and the 1950s Onwards. Second, this chapter discusses school principalship in Turkey with a specific focus on political and legal dimensions. Finally, the chapter ends with an overall evaluation of the practices and policies pertaining to school administration curriculum in Turkey.

This study aims to examine the impact of some real variables such as real effective exchange rates, real mortgage rates, real money supply, real construction cost index and housing sales on the real housing prices.

This study uses a nonlinear autoregressive distributed lag (NARDL) model in the monthly period of 2010:1–2021:10.

The real effective exchange rate has a positive and symmetric effect. The decreasing effect of negative changes in real money supply on real housing prices is higher than the increasing effect of positive changes. Only positive changes in the real construction cost index have an increasing and statistically significant effect on real house prices, while only negative changes in housing sales have a small negative sign and a small increasing effect on housing prices. The fact that the positive and negative changes in real mortgage rates are negative and positive, respectively, indicates that both have a reducing effect on real housing prices.

This study suggests the first NARDL model that investigates the asymmetric effects on real housing prices instead of nominal housing prices for Turkey. In addition, the study is the first, to the best of the authors’ knowledge, to examine the effects of the five real variables on real housing prices.