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The purpose of this paper is to examine the arousal of negative consumer emotions as a consequence of fast food consumption among individuals with restrained food consumption. Furthermore, a moderating effect of socio-cultural pressure to buffer these relationships is positioned for the first time.

The field study is completed with data collected through an online survey among 353 customers by employing a random sampling technique. The collected data are analyzed through confirmatory factor analysis procedures.

The hypotheses related to the effects of fast food consumption on body image guilt and shame, body image guilt on planning diet and shame, moderator role of socio-cultural, in terms of shame, are accepted.

A key limitation is data collected from individuals with restrained food consumption in Turkey which limits the generalizability of results to other countries and contexts.

The results call for paying attention to socio-cultural pressures that enhance shame.

The primary contribution of this paper lies in the fact that fast food consumption is scantly related to the arousal of negative consumer emotions. Furthermore, moderating effects of social pressures and Turkish context are also unique to this study.

The growth of omni-channel retailing is causing consumers to change their habits and shopping behaviour. It is essential to understand the factors on purchase intention within the consumer context. The purpose of this paper is to explore factors that are influencing consumers to use omni-channel in their shopping behaviour – specifically in the apparel sector in Turkey as an emerging country.

Designed as exploratory research, this study used four different focus groups. Focus groups were conducted with university students who have experienced the company’s omni-channel applications. The study sample included a total of 30 purposefully selected university students in Izmir, Turkey, who previously shopped at the same store. The selected retail store is the leading domestic shopping brand and the pioneer in omni-channel in the apparel and fashion sector in Turkey. The participants were given three company-related scenarios which were used to help the students to better understand omni-channel applications of the company. Then, they were asked to discuss their perceptions and intentions towards omni-channel shopping. Content analysis was used for analysing transcripts.

The findings of the focus groups have revealed 12 themes about the intentions of the university students towards omni-channel shopping. Among 12 themes, it is observed that 6 of them have similarities with the variables of the UTAUT2 model. The findings of the study showed that, beside the additional themes, the predetermined variables of the UTAUT2 model within the literature; which are “performance expectancy”, “effort expectancy”, “facilitating conditions”, “hedonic motivation”, “habit” and “price value” have affected purchasing intentions towards omni-channel shopping. This study proposed six additional themes which were not revealed in the previous studies on purchase intentions in an omni-channel shopping in apparel sector. The six additional themes proposed in this study are; “perceived trust”, “situational factors”, “perceived risk”, “anxiety”, “need for interaction” and “privacy concern”.

This study is limited to the focus group interviews held in only one university with students from the same programme. The findings are obtained also only valid for the relevant retail store and city, and cannot yet be generalised.

The relationships suggested in this exploratory study can further be analysed by quantitative study. It is also claimed that the findings of this study can act as a framework to extend the UTAUT2 model by integrating perceived trust, situational factors, perceived risk, anxiety, need for interaction and privacy concern. This model will enable retailers to understand consumer expectations towards omni-channel shopping and to focus on integrating these factors through whole purchasing process in order to increase omni-channel sales.

The literature on omni-channel has concentrated on the retailers’ perspective, whereas this study aims to reveal an insight from the consumer perspective. The contribution of the study is to provide a framework for understanding the themes on consumer viewpoint in the omni-channel shopping behaviour.

This study aims to measure the relationship between demand and exchange rate shocks in the tourism industry.

A panel data set is constructed covering the period between 1995 and 2017, and the data set includes the top 26 countries that host 10 million tourists and above in the world as of 2017. The standard errors of the series are used as an indicator of shocks. First, the cross-sectional dependency, stationarity and the homogeneity of the series are examined; second, a panel cointegration analysis is implemented; third, long-term panel cointegration coefficients are analyzed with Dynamic Common Correlated Effects (DCCE) approach; and, finally, Dumitrescu and Hurlin’s (2012) Granger non-causality test is used to detect the causality.

The preliminary analyses show that the variables are cross-sectional dependent and heterogeneous and are stationary in their first difference; hence, the effects of the shocks are temporary. On the other hand, as a result of the panel cointegration analysis, it is found that both series are cointegrated over the long-term. However, the long-term coefficients estimated with the DCCE approach are found not to be statistically significant. Finally, as a result of the Dumitrescu and Hurlin’s (2012) Granger non-causality test, it is concluded that there is a causality running from exchange rate shocks to demand shocks.

To the best of the authors’ knowledge, the cointegration between the tourism demand shocks and exchange rates shocks has not been investigated before, and therefore, this study is considered to be a pioneering study that will contribute to the literature.

The amount of energy consumption of buildings has obtained international concern so the concept of zero energy building becomes a target for building designers. There are various definitions and evaluation methods for efficient buildings. However, detailed research about the critical parameters that have a major effect through the operational time to reduce the energy consumption is not emphasized as this paper represents. The main aim of this study is to identify the effect of applicable interventions on energy consumption parameters with their sensitivity to each other to reach zero energy building. Relatedly, the cost of energy reduction is also determined.

Energy consumption parameters were defined as area lightings, space heating, space cooling, ventilation fans, pumps, auxiliary equipment and related miscellaneous equipment. The effect of each applied intervention on energy consumption was classified as high, medium, low, very low, no effect and negative effect by utilizing a sensitivity analysis. The base case's energy model is created by utilizing energy performance software such as e-Quest. Accordingly, energy performance improvement scenarios are developed by applying interventions such as lamp replacements, sensors, heat pumps and photovoltaic panels’ integration. Furthermore, sensitivity analyses of each intervention were developed for consumed energy and its cost.

Results indicated the electric consumption is more effective than gas consumption on primary energy and energy cost. Solar systems decline primary energy by 78.53%, lighting systems by 13.47% and heat pump by 5.48% in this building; therefore, integrating mentioned strategies could rise the improvement rate to 100%, in other words, zero amount of energy is using from the grid that means saving $ 5,750.39 in one year.

The study can be applied to similar buildings. It is worthwhile to investigate suggested methods in diverse buildings with different functions and climates in future works.

This study aims to investigate of energy consumption of an educational building in the Mediterranean climate to convert an existing building into a zero energy building by saving energy and renewable sources. Subsequent purposes are analyzing the effect of each strategy on energy consumption and cost.

The novelty of this study is filling gaps in sensitivity analysis of energy consumption parameters by not only identifying their effect on overall energy consumption but also identifying their effect on each other. Some interventions may have a positive effect on overall consumption while having a negative effect on each other. Identifying this critical effect in detail not only further improves the energy performance, but also may affect the decision-making of the interventions.

The use of information and communication technologies has become widespread in the field of health as well as in all fields. While the intensive use of these technologies increases the productivity of the employees, on the other hand, it may cause negative effects on the employee such as stress, anxiety, anger, burnout, and addiction. In scientific studies, the use of technology is commonly related with saving time, labor, financial resources, effective, efficient, and quality service; however, there are limited studies focusing on the technostress factors in the health field brought by technological transfer and digital transition. These technostress factors are techno-overload, techno-invasion, techno-confusion, techno-insecurity, and techno-uncertainty. In this study, it is emphasized that technostress causes important mental problems such as productivity and burnout, especially for female health employees. This chapter aims to discuss the role of technostress and its factor, theoretically, in the healthcare field in perspective of digital transition.

Living walls (LWs), vegetated walls with an integrated growth layer behind, are being increasingly incorporated in buildings. Examining plant characteristics’ comparative impacts on LWs’ energy efficiency-related thermal behavior was aimed, considering that studies on their relative effects are limited. LWs of varying leaf albedo, leaf transmittance and leaf area index (LAI) were studied for Antalya, Turkey for typical days of four seasons.

Dynamic simulations run by Envi-met were used to assess the plant characteristics’ influence on seasonal and orientation-based heat fluxes. After model calibration, a sensitivity analysis was conducted through 112 simulations. The minimum, mean and maximum values were investigated for each plant characteristic. Energy need (regardless of orientation), temperature and heat flux results were compared among different scenarios, including a building without LW, to evaluate energy efficiency and variables’ impacts.

LWs reduced annual energy consumption in Antalya, despite increasing energy needs in winter. South and west facades were particularly advantageous for energy efficiency. The impacts of leaf albedo and transmittance were more significant (44–46%) than LAI (10%) in determining LWs’ effectiveness. The changes in plant characteristics changed the energy needs up to ca 1%.

This study can potentially contribute to generating guiding principles for architects considering LW use in their designs in hot-humid climates.

The plant characteristics’ relative impacts on energy efficiency, which cannot be easily determined by experimental studies, were examined using parametric simulation results regarding three plant characteristics.

Introduction: Financial failure is a concept that may arise from many internal and external factors such as operational, financial, and economic items and may incur serious losses. Over-indebtedness arising from managerial misjudgments may cause high financial distress, insufficiency, and bankruptcy. In this regard, determination of effects of capital structure decisions on financial failure risk is crucial.

Aim: The main purpose of this study is to explore the relationship between capital structure decisions and financial failure risk. For this purpose, data from Borsa İstanbul (BIST) for listed food and beverage companies for the period from 2004 to 2019 is used. Another purpose of this study is to compare the financial failure models considering capital structure theories.

Method: In the study, capital structure decisions are associated with five different financial ratios; while the financial failure risk is proxied by financial failure scores of Altman (1968), Springate (1978), Ohlson (1980), Taffler (1983), and Zmijewski (1984). Therefore, five different panel data models are used for testing these hypotheses.

Findings: The results of panel data analysis reveal that capital structure decisions have statistically significant effects on financial failure risk for all models; however, those effects vary from one financial failure model to another. Also, the results show that in the models in which financial failure risk is proxied by the Altman (1968) and Taffler (1983) scores, the aggressive financial policies increase the financial failure risk. However, regarding the models in which financial failure risk is proxied by the Springate (1978), Ohlson (1980), and Zmijewski (1984) scores, aggressive financial policies decrease the financial failure risk.

Originality of the Study: To the best of our knowledge, this chapter is original and important in terms of revealing the effects of capital structure decisions on the financial failure risk and comparing the financial failure models.

Implications: The results revealed that the risk of financial failure models represented by Altman (1968) and Taffler (1983) scores are found to be statistically stronger and more successful in meeting theoretical expectations compared to other models. Therefore, it would be more appropriate to refer Altman’s (1968) and Taffler’s (1983) financial failure models in financial failure risk measurements.