The transition to the circular economy (CE) creates value through the closed‐loop systems, reverse logistics, product life cycle management, and clean production in terms of corporate environmental management. During this transition process, the organization faces many barriers such as financial, organizational, technology‐based, social, policy‐related, market‐based, and logistics‐based barriers. The objectives of this study are to propose a framework highlighting policy‐related barriers for a supply chain in the transition to CE and finally discuss potential implications on enhancing corporate environmental performance of a business. Further, this study evaluates the causal relationships between the policy‐related barriers using fuzzy Decision‐Making Trial and Evaluation Laboratory (DEMATEL) method. The application was conducted in an apparel firm in Turkey. From findings, lack of legislation for efficient CE (C4), lack of mandatory requirements and responsibilities for manufacturers/suppliers for the CE (C17), and lack of government support for environmentally friendly policies (C2) are revealed as the most important barriers, respectively. It is found that lack of attitude and awareness about CE in government institutions (C19) is the most influencing factor, whereas lack of effective recycling policies to achieve quality in waste management (C8) is the most influenced factor. The recommendations were developed for enhancing the corporate environmental performance of businesses through incentives and unique rewards, improving communication among stakeholders, the government's perception of CE and current linear economy, cooperation with nongovernmental organization (NGOs) and civil actions, the vision of government towards circular principles, the circular public procurement, the local governments in circular policymaking, and awareness of bureaucracy and government officials.

Purpose: 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. Design/methodology/approach: 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. Findings: 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”. Research limitations/implications: 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. Practical implications: 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. Originality/value: 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.

The objectives of this study are to understand the circular supply chain barriers for textile companies to implement the circular economy. Main contributions of the study were to propose a specific framework that reveals circular supply chain barriers in transition to circular economy with holistic view by encompassing all stakeholders, to reveal causal relationships among the circular supply chain barriers within textile industry. Causal relationships between the proposed circular supply chain barriers were identified by Fuzzy-Decision Making Trial and Evaluation Laboratory (DEMATEL) method. The barriers are classified under cause and effect groups and related implications are proposed. The findings of this study are lack of collecting, sorting and recycling, reluctance for acceptance of CE model, and problems related to uniformity and standardisation are revealed as the most important barriers, respectively. Moreover, lack of technical knowledge is the most influencing factor, whereas, challenges in product design is the most influenced factor.