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The purpose of this study is to explore the presence of ethical standards in the content of international hospitals codes of ethics disclosed in their websites.

Firstly, the focus is on developing an integrated framework of universal values and hospital responsibilities for the content of hospitals’ codes of ethics documents. A list of key ethical issues was determined through an examination of the American Medical Association Code of Medical Ethics (2016), the WAMA (2017), International Code of Medical Ethics and relevant peer-reviewed journal articles (Finseschi, 1997; Vergallo, 2016; Suhonen et al., 2011; Reader et al., 2014). Based on the detailed literature review, 48 concepts, which were evenly, classified under two groups; professional conduct issues and patients’ rights. In the second stage, the issues were ranked related to professional conduct and patients’ rights from most to least frequent for the proposed conceptual framework, using World Global Hospitals codes of ethics.

It was found that only 62% of the top 100 hospitals have an ethics code report in their websites. The findings of the study have significant theoretical and practical implications. First, most of the hospitals’ ethical codes extensively emphasize professional conduct and patients’ rights, whereas they differ in what they include or exclude from their codes and the wording used. The number and frequency of the professional conduct issues is higher than patients’ rights. Emerging ethical issues, such as physicians’ and patients’ freedom of choice, sperm donation and artificial reproduction, were not widely mentioned, whereas abortion, euthanasia, human rights and transplantation issues were disregarded entirely.

This study provides a benchmark for hospitals to assess their codes against other hospitals’ codes in terms of the specific items they address.

The results of this study provide a benchmark for evaluating and developing ethical codes for hospitals in light of the international health standards and norms.

To the best of the knowledge, no previous study has theoretically or practically analyzed hospitals’ codes of ethics.

This study aims to analyze lean wastes for the poultry sector in Turkey and link lean tools to this study, focusing on identifying each lean waste that affects poultry production and proposing solutions for preventing these lean wastes in the sector. The proposed solutions aim to improve processes by suggesting different lean tools and their applications for the poultry sector.

The study consists of two different applications. First, the waste relationship matrix (WRM) was created to reveal the relationship between seven lean wastes and their importance order. Then, after determining lean tools for eliminating lean wastes, the optimum weight ranking and consistency ratio of the most suitable lean tools were calculated for these wastes and ranked with the best-worst method (BWM).

Results showed that overproduction is the most critical waste that impacts other wastes, followed by defect waste. Due to the nature of the sector, these wastes not only result in economic loss for the company but also in food waste and loss and issues related to animal welfare. Furthermore, the Kaizen approach and 5S implementation are the methods to eliminate these wastes. Detailed discussion on the link between lean tools and lean wastes is provided for the poultry sector.

This is the first study that theoretically and empirically identifies the potential lean waste affecting the poultry sector and provides lean tools for eliminating these wastes. Sector-specific explanations and discussions are presented in the study to show the applicability of lean approaches in the poultry sector to eliminate waste. In addition, this study is the first to integrate the WRM and BWM.

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

Impact of the digitalization on the production and service sector is a highly popular topic in these days and especially, new business models receive increasingly more attention. Under the light of digitalization, the Fourth Industrial Revolution, so-called Industry 4.0, and its impacts on all kinds of process is a promising topic in the academia and also beneficial for the practitioners. Since there are arguments from scholars that Industry 4.0 has an important and shaping effect on marketing, the concept of 7P's in marketing should be incorporated in Industry 4.0 elements. From this point of view, this study focuses on developing the understanding of 7P's based on contemporary perspectives of Industry 4.0.

In order to do that, different criteria related to integration of Industry 4.0 and marketing practices under each marketing-mix element are presented and one of the multi-criteria decision-making (MCDM) methods, the best–worst method (BWM) is used to prioritize the criteria for future implications.

Results indicated that product, process and physical evidence are the most affected marketing-mix factors by considering Industry 4.0. managerial implications which were also presented based on the numerical results.

An in-depth analysis of literature review related to Industry 4.0 revealed that changing and developing technologies are examined in detail mostly around a production perspective. In order to fulfill the gap in the knowledge, this study focuses on the examination of impacts of Industry 4.0 on the marketing-mix strategy. To the best of the authors’ knowledge, this is the first study which merges Industry 4.0 with the marketing mix.

There is a large number of perishable foodstuffs produced, stored, distributed and delivered daily around the world. Almost all except for root vegetables are sensitive products to temperature. Thus, adopting uninterrupted and appropriate logistics activities with predetermined range of temperature from production site until end-user is critical for ensuring required quality and safety. If a mistake is made during either transport or storage, it not only becomes risky for human health, but also generates huge food waste for the environment and negative economic impact for food providers. Therefore, this study aims to identify all potential factors affecting the cold chain performance in the food industry and to design a framework that includes these factors. This framework is also a roadmap for managers, food providers and logistics parties for sustainable cold chain management.

Considering, tangible and intangible potential criteria, the ultimate goal of this study is to identify potential criteria affecting cold food chain performance and propose a conceptual framework including 12 main criteria. Next, the importance order of each criterion and the causal relationships between them are determined. In this study, this relationship among criteria is analyzed by using fuzzy Decision-making Trial and Evaluation Laboratory (DEMATEL) approach because of its ability to solve complex problems by ensuring causal relationship among factors, additionally to determine importance order. Finally, suggestions for administrative implications are presented.

Fuzzy DEMATEL was used to explain the causal link and importance order among identified drivers. The analysis shows that five criteria (C1, C3, C8, C9 and C12) belong to cause (influential) groups and remaining seven criteria belong to effect (influenced) groups. The highest influential criterion is staff (C8) and is followed by technical issues (C9) as the second most influential factor. Additionally, top three most important factors are traceability (C7), staff (C8) and cold transportation (C5). According to the numerical results of fuzzy DEMATEL implementations, suggestions for managerial implementations are presented.

The main contribution of the study is to propose meaningful suggestions for managerial implications about sustainable cold chain in food industry for businesses and to examine causal relations between criteria and to rank criteria in descending importance order.

To the best of the authors’ knowledge, this is the first study that focuses on determining the potential criteria affecting cold supply chain performance both theoretically and empirically in the sustainability environment. What are the enablers that affect the cold food supply chain stages is the research question of this study.

This study focuses on identifying potential challengers affecting cold chain performance in the pharmaceutical industry. Considering the history of humanity, every pandemic experienced could only be controlled with the vaccine found. While the world is fighting the unforgettable epidemic called COVID-19, scientists are also working to find the therapeutic vaccine. The vaccines studied have different temperature storage and transport properties. In the pharmaceutical industry, it is necessary to know and analyse every step of the cold supply chain to provide the most appropriate and safe cooling level. In addition, it is important to understand the relationship between all the facilities, equipment, tools and materials needed to avoid mistakes along the chain.

Hence, this study focuses on identifying potential challengers affecting sustainable cold supply chain performance in the pharmaceutical industry and proposing a conceptual framework that involves these main challengers. In this study, firstly, different main and sub-factors are defined from the literature, and fuzzy Decision Making Trial and Evaluation Laboratory method is applied to analyse the causal link between these factors for an effective application.

Results showed that packaging, transportation and shipping, storage specifications and handling practices, inventory management, technical issues and delivery delay are the most affected factors during the sustainable cold supply chain performance in the pharmaceutical industry. This study offers both managerial implications and a roadmap that are designed with a holistic view to guide manufacturer, logistics parties and even policymakers.

Some of the studies related to the pharmaceutical industry are monitoring and controlling the temperature in the cold supply chain steps; the other part is the studies where the chain steps are examined with a focus on production or transportation. While these issues are the focus, the requirements and conditions of each stage of the supply chain must be studied for a safe, effective and sustainable cold chain beyond the current global pandemic crisis. To the best of the authors’ knowledge, this is the first study that highlights identifying the potential challengers that affect cold supply chain performance for the pharmaceutical industry both theoretically and empirically, solving the causal relationships among these challengers and designing a holistic framework.