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This study aims to identify the key hotel characteristics and facilities that significantly influence customer satisfaction based on Google review scores. By applying decision tree analysis, the research seeks to determine which aspects, such as service quality, hotel facilities and location, play pivotal roles in shaping customer experiences. The objective is to provide professional with practical recommendations to improve service quality and cultivate enduring customer loyalty.

The research used a data set collected from Hotels.com, featuring various characteristics of 802 hotels in Izmir Province. Decision tree analysis was conducted using Classification and Regression Tree algorithm to explore the relationship between hotel characteristics and facilities with customer satisfaction.

The analysis revealed that the number of rooms is the primary factor influencing hotel ratings, with proximity to the airport and hotel classification also being significant. Additional factors such as public transportation distance and laundry services were important, while facilities such as ATMs, beach access and spas showed no significant impact on customer satisfaction. These findings emphasize the importance of core facilities and accessibility.

This study contributes to the literature by offering a novel approach, using decision tree analysis to assess hotel customer satisfaction with structured data. It provides practical implications for hotel managers, enabling them to make data-driven improvements to achieve customer satisfaction. The integration rules created by the decision tree model into hotel management systems can enhance operational efficiency and competitive advantage in the hospitality industry.

Collective teacher efficacy (CTE) is a promising construct for understanding how schools can foster student achievement. Although much of the early research on CTE took place in North America, researchers from other parts of the world are now delving into this topic. The current study explores whether these powerful collective beliefs function similarly across diverse cultural and linguistic groups: Arab and Jewish teachers in Israel, and teachers in Turkey and the USA.

Participants included 4,216 teachers from Israel, Turkey and the USA, representing four cultures: Arab, Jewish, Turkish and American. We tested configural invariance using multigroup confirmatory factor analysis (AMOS) and alignment optimization (Mplus) to identify the groups in which specific parameters are noninvariant, and to compare the latent factor means.

Configural invariance showed adequate fit of the model structure across the four groups. Based on invariance tests, using the alignment optimization method, CTE scales held different meanings for specific items across the four cultures, where the USA and Arab cultures were the sources of these differences. Furthermore, in comparing the two-dimensional CTE belief scale across the four groups, latent means revealed the highest mean ranking for the USA and the lowest for Turkey.

This research makes a significant theoretical contribution by examining and comparing the concept of teachers' collective efficacy in multiple cultures. This comparison can also contribute to instructional teaching practices worldwide.

The new ways of working (NWW), a contemporary work environment with temporal and spatial flexibilities, has become an enforced reality after the COVID-19 pandemic disrupted workplaces. However, the understanding of how it impacts employee well-being perceptions is limited. Hence, the current study aims to examine how the NWW facets, namely, time- and location-independent work, management of output, access to organizational knowledge and flexibility in working relations relate to employees' life satisfaction, mediated by psychological capital.

A cross-sectional survey was designed to collect data from 459 Indian knowledge workers. Model fit and the hypothesized relationships were tested using IBM SPSS 25, AMOS and PROCESS Macro.

All four NWW facets positively relate to psychological capital, which in turn associates with life satisfaction. Except for the facet “management of output”, the other three facets associate positively with life satisfaction before accounting for the mediator. Indirect effects of all four facets on life satisfaction via psychological capital were established. Overall, the findings establish the important mediating role of psychological capital in relating the NWW facets with life satisfaction.

By examining the previously unexplored relationships between NWW, psychological capital and life satisfaction, this study provides novel insights into the role of personal resources in maximizing the beneficial effects of the NWW practices and is highly relevant in the current context where organizations are trying to identify coping mechanisms that help employees adapt to workplace transformations.

The purpose of this paper is to examine the impacts of (non-renewable and renewable) energy consumption and trade on environmental pollution in an environmental Kuznets curve (EKC) setting in Turkey for the 1965–2016 period.

Besides conventionally used unit root tests, Zivot–Andrews unit-root test is also employed to account for a possible structural break. To investigate the interrelationships among the variables, the autoregressive distributed lag and the vector error correction methodologies are employed.

The results verify the EKC hypothesis. Moreover, increases in trade and non-renewable energy consumption rise carbon emissions in long run, while renewable energy consumption reduces it in both short- and long-run. The causality analysis reveals that there are bi-directional long-run causalities between non-renewable energy consumption and carbon dioxide emissions, and between trade and carbon dioxide emissions. Additionally, the neutrality hypothesis is valid for the renewable energy consumption-income nexus in both short- and long-run. For the non-renewable energy consumption-income nexus, the neutrality hypothesis holds only in short-run and the conservation hypothesis holds only in long-run.

This is the first study which incorporates both renewable energy consumption and trade into its environmental pollution model for Turkey. Moreover, by investigating short- and long-run causalities among the employed variables, more robust policy implications are put forward. Lastly, this study employs a longer sample period and considers a structural break in its models.

Ethical issues surround and permanently reside in the discipline of marketing and have been examined within multiple schools of thought. However, despite the prevalence of the topic and significant scholarly attention and theoretical development since the 1980s, the Hunt–Vitell general model has not been subject to a substantial revision in decades. This paper aims to undertake the significant task of augmenting and advancing the general theoretical framework of marketing ethics through a number of revisions.

This paper synthesizes the conceptual and empirical work on marketing ethics to date to extend the seminal Hunt and Vitell (1986, 2006) model of marketing ethics.

The revised model expands upon the Hunt–Vitell model by incorporating additional factors that influence ethical decision-making in marketing. Key additions include cultural orientation, socialization, individual characteristics (relativism, demographics, goals, position), means, contracts, consumer sovereignty, self-respect, respect from others and context. These additions create a more comprehensive framework for understanding ethical behavior in marketing, enhancing the model’s validity and applicability.

The paper offers numerous research avenues, including: 1. Examining how marketers and entrepreneurs make decisions, focusing on the alignment of their processes with ethical principles. 2. Revisiting research on gender and ethics, exploring the interplay of various social identities in ethical decision-making. 3. Developing new measures for personality traits like idealism and relativism within marketing and entrepreneurship contexts. 4. Investigating the impact of information availability and different types of information on consumer perceptions and ethical behavior. 5. Exploring the disconnect between ethical orientations of marketing managers and consumers. 6. Examining the influence of socialization processes on ethical orientations. 7. Incorporating psychological constructs like self-respect and desire for respect into models of ethical decision-making. 8. Conducting context-specific research to understand the relationship between ethical judgment and action. 9. Empirical testing using both vignettes and structural equation modeling to validate the model and explore its implications for both marketers and consumers, especially in the context of brand activism and public relations crises.

Practitioners should be mindful of how their actions and intentions influence ethical judgments. They should integrate ethical considerations into all aspects of business, including CSR initiatives and training. Promoting diversity and transparency fosters ethical decision-making and builds trust with consumers. Entrepreneurs should model ethical behavior, create an ethical culture and provide clear information about their practices.

The revised model highlights the significant social implications of ethical decision-making in marketing and entrepreneurship. By considering not only the outcomes but also the means used to achieve them, businesses can avoid negative impacts on society. This includes prioritizing transparency, fairness and responsible practices. Understanding the influence of cultural, individual and contextual factors on ethical behavior can lead to more ethical business practices, ultimately contributing to a more just and sustainable society.

The revised model constitutes a meaningful improvement to the seminal Hunt–Vitell general model of marketing ethics. Seven new research propositions, a simplified measurement model, research and practitioner implications and an Appendix that offers an overview of four decades of marketing ethics research are also provided.

In spite of the drive toward environmental sustainability and the attainment of sustainable development goals (SDGs), coal, oil and natural gas energy utilization has remained the Turkey's largest energy mix. In view of this concern, this study examined the role of coal and oil energy utilization in environmental sustainability drive of Turkey from the framework of sustainable development vis-à-vis income expansion over an extended period of 1965–2017.

In this regard, the authors employ carbon emission as an environmental and dependent variable while the Gross Domestic Product per capita (GDPC), coal and oil energy consumption are the explanatory variables employed in the study.

The study found that both energy mixes (coal and oil) have a detrimental impact on the environment in both the short and long run, but oil consumption exerts a less severe impact as compared to coal energy. In addition, sustainable development via income growth is not feasible because the income–environmental degradation relationship follows a U-shaped pattern (invalidating the Environmental Kuznets curve, EKC hypothesis) especially when coal and oil remained the major source of lubrication to the economy. At least the EKC hypothesis is unattainable in Turkey as long as the country's major energy mix or primary energy (coal and oil) is in use, thus the application of other socioeconomic, macroeconomic policies might be essential.

Considering the lingering energy challenge associated with Turkey, this novel insight further presented useful policy perspectives to the government and stakeholders in the country's energy sector.

This evidence (the U-shaped relationship) is further ascertained when the aggregate primary energy is employed. Thus, this study provides a novel insight that attaining a sustainable economic growth in Turkey remained a herculean task as long as a more aggressive energy transition approach is not encouraged.