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This paper investigates rose and rose oil production in the province of Isparta, Turkey, with reference to the discourses on and procedures of price formation. Farmers have been engaging in rose cultivation for over a century and rose oil production is considered to be a traditional industry. The market actors for rose oil are global cosmetic and local processing firms and almost all rose oil from Isparta is exported. Prices and production have been steadily increasing since 2010. Although prices are seen as good, there are concerns about overproduction and fierce competition between the rose oil firms to buy the harvest, hence pushing up rose prices and, leading to a crash in rose oil prices on the world market. Through careful observation of payment and price formation procedures, the paper raises issues concerning the moral economy of price formation. Findings are provisional and the research is on-going, but the discourse on just prices clearly suggests that value judgments are embedded in and implicitly critical of capitalist markets.

The purpose of the research is to identify the various factors affecting bread wastage and bread consumption of consumers in Isparta, Turkey.

This study uses the categorical regression (CATREG) model to estimate the driving forces of bread waste and consumption. The study concentrates on data obtained from 384 respondents speaking for the same number of households placed in the province of Isparta in Turkey.

The results indicate that both models are statistically significant at the 1% level. Parents' profession, storage method, type of bread consumed, daily bread expenditure, monthly income and the idea of “bread is cheap” are the most important variables affecting bread wastage. Regarding bread consumption, parents' profession, fathers' education level, monthly income, inadequate control in bakeries, household size and the idea of “bread makes people fat” are found to play significant roles.

The results could be helpful to develop influential policies on healthy eating and aiming plans to reduce bread consumption to healthy levels and prevent bread waste.

This research contributes to knowledge regarding the underlying causes of the bread consumption and wastage of Turkish consumers in the light of the data analysis for Isparta province.

This paper contains unique and original understandings concerning bread consumption and wastage attitudes and determinants for consumers from Isparta, Turkey. The novel findings of this research have conduced to a better understanding of the key factors that affect bread consumption and waste. The paper also applies an econometric analysis using a CATREG model to analyse the factors influencing consumers' bread waste and consumption behaviour in Isparta province, Turkey.

The purpose of this paper was to investigate the effects of hydrochloric acid (HCl), hydrazine, methyl methacrylate, styrene and hexamethyldisiloxane by radio-frequency (rf) plasma graftings on surface properties of wool and denim fabrics.

During plasma treatments, processing time was varied under optimized plasma conditions (50 W, rf: 13.56 MHz). All fabrics were comprehensively investigated by means of scanning electron microscopy-energy dispersive X-ray spectroscopy and contact angle measurements.

The experimental data shows that the rf-plasma processing has important effect on the wettability properties of wool and denim fabrics. The results indicated that HCl plasma treatment significantly improves the hydrophilicity of wool and denim fabrics.

The research on wool and denim fabric treatment by plasma is original.

This study aims to investigate the international portfolio diversification opportunities provided by Turkish sustainable firms to international socially responsible investors.

The Borsa Istanbul Sustainability Index (XUSRD) and FTSE4Good index family daily data for the period of 11/04/2014-12/31/2017 is used and the DCC-GARCH model is applied to explore the dynamic correlation linkages.

The results indicate that co-movements between XUSRD and FTSE4Good indices are time-varying and generally display a low level. While the highest average conditional correlation value was observed between XUSRD and Developed 100 index, the lowest one was between XUSRD and FTSE4Good Japan index.

Since XUSRD was launched on 11/04/2014, there is no available data before this date. Additionally, because the study includes indices from the USA to Japan, it is not possible to use high-frequency stock index data due to lack of overlapping time series.

This study contributes implications for investors of sustainability assets to improve their diversification. Especially, it is identified that the diversification opportunities provided by Turkish sustainable firms are largely possible for Japanese and Australian socially responsible investors. Additionally, this research has contributions for policymakers.

Although the conventional stock market indices are widely examined in terms of their time-variant relationship, there are only a few studies in the literature focusing on sustainability indices. Socially responsible investments (SRI) are emerging as a new trend, and these investments are also in need of international portfolio diversification. Therefore, this study is expected to fill a gap in the SRI literature.

This study aims to examine the relationship between digital transformation (DigiTr), innovation and human resources planning (HRP) in hotels to investigate the impact of DigiTr on innovations and HRP and to test the mediating impact of innovation on the DigiTr-HRP relationship.

The authors used a quantitative research method in this study, specifically by conducting a hybrid face-to-face and online survey to collect data from 462 human resources (HR) managers, department managers and HR professionals at four- and five-star hotels in Turkey. The structured questionnaire assessed DigiTr, innovations in business models, services and processes and quantitative and qualitative changes in HR. The authors used covariance-based structural equation modeling to test the hypotheses.

DigiTr affected both innovations and HR planning in hotels, and also the effect of innovations on HR planning. In addition, DigiTr and innovations increased qualitative changes in HR planning but reduced quantitative changes. Finally, innovations mediated the relationship between DigiTr and HR planning.

These findings indicate that employers and employees need to be aware of developments in employment in the tourism industry, as these can significantly impact HR planning via DigiTr and innovations.

This study differs from the existing literature by providing empirical evidence to fill the knowledge gap regarding how DigiTr and innovation affect HR planning.

本研究考察了酒店数字化转型、创新和人力资源规划之间的关系, 以调查数字化转型对创新和人力资源规划的影响, 并检验创新对数字化转型与人力资源规划关系的中介影响。

我们在这项研究中使用了定量研究方法, 特别是通过进行面对面和在线混合调查, 从土耳其四星级和五星级酒店的 462 名人力资源经理、部门经理和人力资源专业人士那里收集数据。结构化问卷评估了数字化转型、商业模式、服务和流程的创新, 以及人力资源的数量和质量变化。我们使用基于协方差的结构方程模型来检验假设。

数字化转型既影响了酒店的创新和人力资源规划, 也影响了创新对人力资源规划的影响。此外, 数字化转型和创新增加了人力资源规划的质变, 但减少了量变。最后, 创新在数字化转型和人力资源规划之间的关系起到了中介作用。

这些调查结果表明, 就业发展可以通过数字化转型和创新显着影响人力资源规划, 因此雇主和雇员需要了解旅游业关于就业的发展动向。

The main aim of the present research is to investigate the role of sense of calling (SOC) in the relationships between human resource practices (HRP), turnover intention (TI) and employee satisfaction (ES) in the hotel industry. Moreover, it also examines whether the relationships between these variables are different for city and resort hotel employees.

Quantitative research was employed to test the proposed hypotheses, and the survey technique was used to collect data. The participants of the research consist of 432 hotel employees who work in Antalya, Turkey. The hypotheses were tested using the partial least squares structural equation modeling (PLS–SEM) analyses.

The results of the analysis have shown that SOC significantly impacts the ES and TI, and HRP could be a new antecedent of SOC. On the other hand, while ES is positively affected by HRP, the SOC has a moderating role in the relationship between these variables.

Hotel authorities' understanding of the SOC’s role in employee attitudes and behavior would be a significant factor not only in retaining them but also in reducing employee turnover. They should consider increasing employees' SOC by focusing on HRP.

Besides being one of the few studies that have discussed SOC in the hospitality literature, the current study also contributes by examining the role of SOC in the relationships between HRP, ES and TI. It also adds value to the calling literature by revealing whether the relationship between these variables differs for city and resort hotel employees.

Discussions of authenticity in touristic experiences indicate that it is a significant area in the search for meaning. This study aims to demonstrate that the quest for authenticity in a tourist experience begins in the pre-travel period by associating it with meaning in life.

Data were collected via survey from 356 people planning to participate in tourism activities. The survey included demographic questions, the meaning in life scale and the quest for authenticity (QfA) scale, designed by previous researchers.

The analysis revealed that meaning in life levels significantly explained the quest for subjective authenticity (R2 = 0.303) and objective authenticity (R2 = 0.131) in tourist experiences. The search for objective authenticity in a tourist experience significantly mediated the relationship between meaning in life and subjective authenticity.

The research has several limitations. Primarily, the sampling group of the research consists of Turkish tourists who are planning to participate in tourism mobilities, and mostly females volunteered to respond in the data collection process. Hence it is necessary to study potential tourists from other countries for a more generalized conclusion. Second, the authors did not specifically ask the sample group which forms of tourism they are planning to participate in, heritage and culture, fair, etc. Subsequent studies may address this distinction and the explanatory power of the independent variable may differ according to plan to participate in different forms of tourism.

Tourism has an important place in individuals' search for meaning in life and authenticity. Because it offers an environment/setting where individuals can find answers to these searches. As a result of modernism, individuals become alienated from themselves, and their environment and the meanings they attribute to life are sometimes blurred. Some individuals experiencing this tend towards tourist mobility. This process individuals go through also includes the need for authenticity. Thus, such tourist behaviors cause the emergence of different authentic products that can meet the expectations and wishes of individuals.

One of the main elements that encourages people to travel is quest for authenticity, which they feel is lacking in modern life. Thus, tourists are more likely to experience meaning in life based on subjective experiences than viewed objects.

The study offers three novel findings: individuals seek authenticity in tourist experiences in order to find meaning in life; quest for authenticity begins in the pre-travel process; and objective authenticity is necessary to seek subjective authenticity through meaning in life. While a few studies have investigated these variables, the authenticity literature has neglected the pre-travel phase. However, this needs attention to better understand authenticity in tourism.

The purpose of this paper is to investigate the effect of a lubricant with a polytetrafluoroethylene (PTFE)‐based additive on the friction behaviour in a steadily loaded journal bearing using an experimental and artificial neural network approach.

The collected experimental data, such as pressure variations, are employed as training and testing data for artificial neural networks (ANNs). A feed forward back propagation algorithm is used to update the weight of the network during the training.

An artificial neural network predictor has superior performance for modelling journal bearing systems under different lubricant conditions.

A feed forward back propagation algorithm is used as a training algorithm for the proposed neural networks. Various training algorithms can be used to train the proposed network. Various lubricants and concentration ratio of the different additives can be investigated.

The simulation results suggest that the artificial neural predictor would be used as a predictor for possible experimental applications, especially different lubrication conditions on the modelling journal bearing system.

The paper discusses a new modelling scheme known as ANNs. A neural network predictor has been employed to analyze the effects of a lubricant with a PTFE‐based additive on the friction behaviour in a steadily loaded journal bearing under different operating conditions.

The purpose of this paper is to extend the results of Meca et al. (2004) depending on the grey information revealed by the individual firms.

The authors introduce cooperative grey games and focus on sharing ordering cost rule (SOC-rule) to distribute the joint cost.

In this study, the authors introduce a model, where inventory costs are assumed as grey numbers instead of crisp or stochastic ones studied in literature. At first, grey numbers and classical cooperative inventory games are recalled. Then, cooperative grey games are introduced and related results are given. Finally, an application is performed for three shotgun companies in Turkey.

It is an effective approach for theoretical analysis of systems with imprecise information and incomplete samples. Therefore, grey system theory, rather than the traditional probability theory and fuzzy set theory, is better suited to model the inventory problems by using cooperative game theory. To the best of the knowledge no study exists modeling inventory situations by using cooperative grey games. From this point of view this study is a pioneering work on a promising topic.

The purpose of this paper is to estimate different air–fuel ratio motor shaft speed and fuel flow rates under the performance parameters depending on the indices of combustion efficiency and exhaust emission of the engine, a turboprop multilayer feed forward artificial neural network model. For this purpose, emissions data obtained experimentally from a T56-A-15 turboprop engine under various loads were used.

The designed multilayer feed forward neural network models consist of two hidden layers. 75% of the experimental data used was allocated as training, 25% as test data and cross-referenced by the k-fold four value. Fuel flow, rotate per minute and air–fuel ratio data were used for the training of emission index input values on the designed models and EI_CO, EI_CO2, EI_NO2 and EI_UHC data were used on the output. In the system trained for combustion efficiency, EI_CO and EI_UHC data were used at the input and fuel combustion efficiency data at the output.

Mean square error, normalized mean square error, absolute mean error functions were used to evaluate the error obtained from the system as a result of the test. As a result of modeling the system, absolute mean error values were 0.1473 for CO, 0.0442 for CO₂, 0.0369 for UHC, 0.0028 for NO₂, success for all exhaust emission data was 0.0266 and 7.6165e-10 for combustion efficiency, respectively.

This study has been added to the literature T56-A-15 turboprop engine for the current machine learning methods to multilayer feed forward neural network methods, exhaust emission and combustion efficiency index value calculation.