Search results

This research examines the factors that affect business owner influencers' success in growing their businesses and making them a brand in line with the principles of the cognitive response theory (CRT).

This research examined the perceived uniqueness and originality of the posts on Nusr-et’s Instagram account as external information; information credibility was examined as a cognitive response, and desire was taken as a cognitive response and intention. Partial least squares structural equation modeling (PLS-SEM) was used in the analysis of the data.

According to the research findings, perceived uniqueness and originality were found to have positively affected information credibility and cognitive response, while cognitive response factors were also found to have positively affected desire. In addition, cognitive response factors were found to have mediated the effect of external information factors on desire. All these results reveal the significant accuracy of the model developed based on the CRT. In addition, age and gender variables were found to have had moderating roles. Based on the research findings, original suggestions for restaurant enterprises have been presented to help them gain a competitive advantage.

This study has found that the posts shared by business owner influencers have affected their followers in their desire to eat in the promoted restaurants and therefore, entrepreneurs and owners of the food and beverage industry should give importance to the preparation of social media content that could directly affect customers for visit to their restaurants and regularly post such contents in their social media accounts.

This research has been one of the first research papers using a model to reveal the reasons for behavioral intention in the field of hospitality based on the CRT.

The purpose of this study is to determine the dimensions for “sustainability-oriented hospitality service innovation (SOHSI)” in the context of food and beverage (F&B) industry. For this to be done, the relationship between service innovation dimensions and the triple bottom line (TBL) dimensions (including social, environmental and economic aspects of sustainability) is investigated.

In this study, primarily a detailed literature review was carried out to specify the dimensions of service innovation in hospitality industry and sustainability as well. Then, fuzzy decision-making trial and evaluation laboratory (DEMATEL), one of the multi-criteria decision-making (MCDM) methods, was used to reveal the causal relationship within these dimensions.

A framework is presented to help F&B organizations make their innovative services more sustainable. F&B servicing companies should focus especially on “environmental entrepreneurship,” “interior design” and “brand management” dimensions to get benefit underway to gain competitive advantage.

In hospitality industry where competition is increasing every day, it is necessary to create brand-new services or offer renowned services via diversified ways, to step forward from competitors. In this regard, it is important for companies to ensure that every innovative service should be sustainable. Until now, researchers have mostly studied environmental dimension of sustainable service innovation. However, there are no studies evaluating sustainability concept with the TBL approach. Therefore, this study contributes to the field of sustainability in hospitality service innovation.

本论文旨在定义 “可持续性导向的酒店服务创新”（SOHSI）在餐饮业的维度。以达到此目的, 本论文研究了服务创新维度和三重底线维度（包括可持续性的社会、环境、和经济三方面）。

本论文主要采用文献综述的方式来定义酒店服务业和可持续领域中的服务创新维度。此外, 本论文使用Fuzzy DEMATEL （决策实验室分析法）, 一种多准测决策法（MCDM）, 以探究为度之间的因果关系。

本论文提出了一个理论模型, 以帮助餐饮企业使得他们的创新服务更加可持续化。餐饮服务企业尤其应该专注“环境企业家精神”、“室内设计”、“品牌管理”等维度, 以获得市场竞争力。企业应该确保每个创新服务都应该是可持续性的。至今为止, 研究者们大多数专注于可持续服务创新中的环境维度。然而, 尚未有研究采用三重底线分析法来探究可持续性这个概念。因此, 本论文对酒店服务创新中的可持续性领域做出贡献。

关键词 服务创新、可持续性、酒店服务、餐饮、三重底线

理论型论文

The purpose of this research is to explore and understand the effects of excessive tourism growth on public health, local people and the ecosystem. The secondary purpose of the study is to link excessive tourism growth to social exchange theory, in terms of interchanging key resources of tourism destinations.

This is an exploratory study where qualitative research methods are employed. Telephone interview technique is used to obtain data from academicians who work at various universities in Turkey. Content analysis and thematic analysis with an inductive approach are made by use of MAXQDA software program.

Findings reveal that the satisfaction of local people is an important gain in terms of the economy, but the destruction of the ecosystem due to the excessive crowd, in a sense, overtourism, garbage and too much waste is striking disadvantage based on the responses. Risk of contagious disease, effects on the natural environment and wastes are stated to have huge impacts on the public health and ecosystem.

The study identifies some implications in terms of imbalance and unfairness among the locals who face with excessive crowds. Managing the effects of excessive tourism growth on vulnerable destinations and local people, controlling the carrying capacity in destinations with anxiety, fear, depression, health problems and low living standards should be taken under consideration. Additionally, finding ways to get rid of infectious diseases (such as increasing health checkpoints at borders, investigating the carrying capacity of destinations) is important for tourism spots.

As a major theoretical contribution, this study links excessive tourism growth to social exchange theory and reveals that the degree of exchanging valuable resources in the destination and the level of interaction between locals and tourists are the most critical points for the well-being of the local community and ecosystem.

The development of green economy is of academic and policy importance to governments and policymakers worldwide. In the light of the necessity of renewable energy to sustain green economic growth, this study aims to examine the relationship between renewable energy consumption and green economic growth, controlling for the impact of trade openness for Organization for Economic Co-operation and Development countries over the period 1990-2015, within a multivariate panel data framework.

To investigate the long-run relationship between variables, panel cointegration tests are performed. Panel Granger causality based on vector error correction models is adopted to understand the short- and long-run dynamics of the data. Furthermore, ordinary least square (OLS), dynamic OLS and fully modified OLS methods are used to confirm the long-run elasticity of green growth for renewable energy consumption and trade openness. Moreover, system generalized method of moment is applied to eliminate serial correlation, heteroscedasticity and endogeneity problems. The authors used the panel Granger causality test developed by Dumitrescu and Hurlin (2012) to infer the directionality of the causal relationship, allowing for both the cross-sectional dependence and heterogeneity.

The results suggest that renewable energy consumption and trade openness exert positive effects on green economic growth. The results of long-run estimates of green economic growth reveal that the long-run elasticity of green economic growth for trade openness is much greater than for renewable energy consumption. The estimated results of the Dumitrescu and Hurlin (2012) test reveal bidirectional causality between green economic growth and renewable energy consumption, providing support for the feedback hypothesis.

This paper provides strong evidence of the contribution of renewable energy consumption on green economy for a wide range of countries. Despite the costs of establishing renewable energy facilities, it is evident that these facilities contribute to the green growth of an economy. Governments and public authorities should promote the consumption of renewable energy and should have a support policy to promote an active renewable energy market. Furthermore, the regulators must constitute an efficient regulatory framework to favor the renewable energy consumption.

Many countries focus on increasing their GDP without taking the environmental impacts of the growth process into account. This paper shows that renewable energy consumption points to the fact that countries can still increase their economic growth with minimal damage to environment. Despite the costs of adopting renewable energy technologies, there is still room for economic growth.

This paper provides evidence on the contribution of renewable energy consumption on green economic growth for a wide range of countries. The paper focuses on the impact of renewable energy on economic growth by taking environmental degradation into consideration on a wide scale of countries.

The purpose of the paper is to investigate the extent to which a model based on financial and non-financial variables predicts auditors' decisions to issue qualified audit reports in the case of companies listed on the Tehran Stock Exchange (TSE).

The authors utilized data from the financial statements of 96 Iranian firms as the sample over a period of five years (2012–2016). A total of 480 observations were analysed using a probit model through 11 primary financial ratios accompanying non-financial variables, including the type of audit firm, auditor turnover and corporate performance, which affect the issuance of audit reports.

The results demonstrated high explanatory power of financial ratios and type of audit firm (the national audit organization vs other local audit firms) in explaining qualifications through audit reports. The predictive accuracy of the estimated model is evaluated using a regression model for the probabilities of qualified and clean opinions. The model is reliable, with 72.9% accuracy in classifying the total sample correctly to explain changes in the auditor's opinion.

This study contains some limitations. First, it is likely that similar researches in developed countries set a large sample (e.g. over 1,000 firms) including more years, but the authors cannot follow such a trend due to data access restrictions. Second, banks and financial institutions, investment and holding firms are removed from the sample, because their financial structure is diverse. The third limitation of the study represents the different economic and cultural conditions of Iran compared to other countries. Future studies could focus on internal control material weaknesses or earnings management to predict audit opinion in emerging economies including Iran.

The paper has practical implications and can assist auditors in identifying factors motivating audit report qualifications, mainly in emerging economies.

The paper contributes to auditing research, since very little is known about the determinants of audit opinion in emerging markets including Iran; it also constitutes an addition to previous knowledge about audit opinion in the context of TSE. The paper is one of the rare studies predicting auditor opinions using both financial variables and non-financial metrics.

The purpose of this paper is to explain the extent and content of the sustainability disclosure of public and foundation (private but not-for-profit) universities in Turkey.

Subsequent to a systematic literature review of six academic databases and the National Thesis Center, a content analysis using a combination of Global Reporting Initiative and campus assessment tools from previous studies is conducted on stand-alone sustainability reports and websites of a purposive sample of eight universities in Turkey.

Infrequent and unsystematic sustainability practice done through websites seems to be more prevalent than formal reporting through international initiatives. Research and practice diverge by focusing on different sustainability indicators. Sustainability needs to be integrated into teaching and curriculum through university policies and regulations. Foundation universities show greater effort in sustainability reporting than public universities.

The research is limited by the availability of mostly self-reported, dispersed and unaudited data by foundation universities in addition to framework-imposed specificities. Furthermore, there is only one public university with a formal sustainability report in the sample.

The findings offer suggestions for developing extra sustainability indicators and may assist local policy-makers and researchers in their efforts to improve sustainability reporting by local universities.

This comprehensive research effort is one of the few studies from a non-Western country perspective and the only study on Turkey in relation to universities and sustainability reporting.

The regulation defines patients’ rights as a reflection of fundamental human rights in the field of medicine and incorporates all elements of patients’ rights accepted in international texts. Hence, the purpose of this paper is to investigate the relationship between patients’ safety, medical errors and patients’ safety rights with patients’ security feeling in selected hospitals of Mazandaran Province, Iran.

This descriptive cross-sectional study was conducted in selected hospitals of Mazandaran Province in public, social and private hospitals in 2016. In total, 1,083 patients were randomly selected for the study. The developed tool (questionnaire) was used for data collection. Questionnaire validity was verified through experts and its reliability was confirmed by Cronbach’s α coefficient (95 percent). Data were analyzed through multiple regressions by SPSS software (version 21).

The findings of this paper showed that the mean (standard deviation) medical error, patient’s safety, patient’s rights and patient’s security feeling were 2.50±0.61, 2.22±0.67, 2.11±0.68 and 2.73±0.63, respectively. Correlation testing results showed that medical error, patient’s safety and patient’s rights simultaneously had a significant relation with patient’s security feeling in the selected hospitals (p<0.05).

A simultaneous correlation between patient’s safety, patient’s rights and medical errors with patient’s security feeling in social security hospitals was higher than other hospitals. Hence, the authorities and officials of hospitals and healthcare centers were advised to make effective attempts to perceive the patient’s safety, medical errors and patient’s rights to improve the patient’s security feeling and calmness and also to make better decisions to promote the healthcare and therapeutic services.

The purpose of this paper is to investigate if market discipline and legal environment are sufficient to motivate firms to disclose optimal level of corporate information voluntarily in the context of a developing country that is Pakistan. Furthermore, it was examined if regulators have sufficient regulatory capacity to influence the extent up to which politically connected companies disclose corporate information.

An in-depth investigation was carried out through qualitative content analysis of 200 annual reports from 40 companies listed on Karachi Stock Exchange along with 26 semi-structured interviews from experts in the field of corporate governance.

Findings from the research indicated that there is an absence of culture for disclosure of information and country’s existing institutional environment is not sufficiently strong to support self-regulation or voluntary disclosure of information. It is argued that stringent disclosure regulation results in better flow of information in politically connected companies and helps in curbing opportunistic behaviour.

This research carries significant policy implications. It is proposed that in addition to mandatory disclosure requirements, the code of corporate governance should indicate desirable disclosure levels for voluntary corporate information as well.

This is the first study to examine the effectiveness of role and usefulness of mandatory corporate disclosure regulation, voluntary disclosure practices, and capacity of regulators to enhance dissemination of corporate information in a developing country with high levels of political corruption and cronyism through an in-depth research.

This study aims to investigate whether changes in consumer interest rate, exchange rate and housing supply have permanent effects on housing inflation in Turkey.

For this purpose, data from 2010M01 to 2020M06 and changes in consumer interest rate, exchange rate, housing supply and housing inflation were used. Relationships between variables are analyzed first by the Granger causality tests and then the conditional frequency domain causality tests. The conditional frequency domain causality test specifically reveals the permanent causality between variables, whether there is a permanent effect.

According to the Granger causality test results, there are causality relationships from changes in the consumer interest rate and exchange rate to housing inflation. However, there is no causality relationship between housing supply and housing inflation. According to the conditional frequency domain causality test results, there is causality for the permanent and mid-term from changes in the consumer interest rate to housing inflation and causality for the mid-term and temporary from changes in the exchange rate to housing inflation. Additionally, it was found that there are causality relationships between changes in the consumer interest rate and changes in the exchange rate.

The first limit of the study is that only 2010M01-2020M06 months can be considered. Because the date that variables started common is 2010M01. Besides, there is a limit in the study in variables used. Many variables, both micro and macro, can be added to affect housing inflation.

Housing inflation is a remarkable issue in Turkey. There is an increase in the number of studies on the subject in recent years. For this reason, the study is trying to contribute by approaching the subject from a different angle. The most important contribution of the study is that it has not been investigated whether the determinants of housing inflation have permanent or temporary effects, which were not done in previous studies. In addition, the method used reveals how many months the effects of changes in exchange rates, consumer interest rates and housing supply on housing inflation last. Based on the findings obtained from the methods, important economic and political implications have been put forward in depth.

Architectural programming, as a critical phase in construction projects, has been widely recognized for its importance and advantages throughout the construction process. With the rapid development of the socioeconomic landscape, architectural programming has garnered increasing attention from various other disciplines, becoming a key trend in interdisciplinary collaboration. This study aims to provide a comprehensive understanding of the current status and future directions of architectural programming from an interdisciplinary perspective through scientometric analysis and systematic review.

This study first collected English journal articles on architectural programming published between 1975 and 2024 from the Web of Science and Scopus databases. After an initial screening of titles and abstracts, 515 articles were selected for scientometric analysis to reveal the current state and advantages of architectural programming research in multidisciplinary fields. Subsequently, a second screening of full-text articles identified 75 journal articles for systematic review, focusing on research topics and challenges in interdisciplinary applications.

The study reveals an exponential increase in the number of papers related to architectural programming between 1975 and 2024, particularly in the last decade. Six key research topics of architectural programming in multidisciplinary fields were identified: (1) performance optimization and evaluation, (2) digitalization and automation development, (3) project management and decision support, (4) improvement of human and social welfare, (5) sustainable resources and environment and (6) educational practices of architectural programming. Additionally, the study identified the main challenges in the interdisciplinary application of architectural programming, including (1) incompatibility among disciplines, (2) limitations of data and methodologies and (3) insufficient social engagement. To address these challenges, three potential future directions were proposed: (1) establishing interdisciplinary teams and platforms, (2) enhancing multi-source data integration and digital transformation and (3) improving governance mechanisms and educational training.

By combining quantitative and qualitative methods, this study provides a comprehensive review of architectural programming research and applications in multidisciplinary fields, offering theoretical foundations and practical references for the future development of architectural programming. This review not only aids in understanding the overall status of current architectural programming research but also offers valuable insights and recommendations for future research directions and practical applications.