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This paper aims to explore consumers’ voluntary disposition practices through swapping events organised by community-based enterprises. The paper investigates consumers’ decision-making strategies and factors affecting voluntary clothing disposition via public swapping events across the UK.

This paper investigates UK swapping events, through conducting 18 semi-structured consumer interviews. Data were transcribed and analysed using the seven-step guide proposed by Easterby-Smith et al. (2018).

Findings indicate that within community-based enterprises an implicit social contract emerges between the enterprises and swappers which has an influence on the clothing brought to swaps, thereby impacting the competence and meaning elements of practice. This is linked to peer-pressure susceptibility which affects consumers’ participation in swapping. The findings further reveal an emerging consumer strategy aiding decision-making process regarding items brought to swaps. The use of a particular strategy is found to be linked with the respective level of swapping expertise.

Though the interviews provide a rich narrative, this paper is limited by its sample size meaning data cannot be generalised. Although the data is limited by singular country perspective, research participants were recruited from across the UK, thus, offering a broad picture of the swapping practice.

This paper contributes to and advances an understanding of swapping events organised by community-based enterprises. The theory of social practice lens offers a unique viewpoint on the elements influencing the consumers’ decision-making process with reference to voluntary disposition.

This study aims to investigate the distinctive personality traits and characteristics of individuals with borderline intellectual functioning (BIF) and mild intellectual disability (MID) within specialized centers for MID-BIF treatment and care compared with individuals without MID-BIF diagnosis gathered from general mental health care (GMH) settings.

Patients classified with MID-BIF (n = 58), most with comorbid psychopathology, were thoroughly interviewed by trained clinicians who afterward completed the Shedler–Westen Assessment Procedure (SWAP-200) about the patient. The authors compared SWAP-200 profiles of MID-BIF patients with profiles of GMH individuals. In addition, the authors have compared these profiles for the MID and BIF groups (differentiated based on previously known intelligence quotient scores).

Results show significantly higher scores for the MID-BIF group than the GMH group on scales encompassing emotional instability, impulsivity and antagonism. On scales containing constraint and healthy traits, significantly lower scores were found for the MID-BIF group than for the GMH group. Importance of including SWAP-200 personality assessment for a more comprehensive understanding and treatment planning for individuals with MID-BIF is discussed.

This study offers insights into personality within individuals with an MID-BIF diagnosis, compared with individuals in a GMH setting.

Interest rate derivatives (IRDs) are the essential components of financial risk management and are used across various industry sectors. The objective is to analyze the differences in approach to managing interest rate risks between the Indian corporates that execute IRDs and the ones that do not.

Interest rate fluctuations require Indian corporates to hedge their exposures in foreign currency interest rates. This is all the more true for mid-sized corporates because of their balance sheet exposures. Additionally, they may not have the resources to formulate risk management policies. This paper analyzes data collected from financial statements of a diverse set of companies that use IRD and helps in formulating such a strategy.

The results indicate significant differences for some of the parameters like information asymmetry and agency cost between users and non-users of IRDs. The study further suggests causality between users of derivatives and parameters like size, growth and debt.

The study compares users and non-users of IRDs, thereby identifying factors unique to users of IRDs. It also studies causality relations which explain the motivation to do IRDs. Thus, it enables risk managers to use this as a reference point to decide on their strategies.

While there are multiple studies across geographies and sectors including commercial banks in India on the usage of interest rate swaps, this study focuses on Indian mid-tier corporates. Furthermore, the study distinguishes between users and non-users based on financial parameters, which in turn would provide a framework for decision-hedging strategies.

The purpose of this study is to examine the impact of the shift towards a circular economy and marketing strategies on the collaborative purchasing behaviour of consumers in India. The study uses the theory of planned behaviour (TPB) and the marketing mix to understand the factors affecting a consumer’s intention to participate in collaborative consumption (CC).

A Web-based survey was conducted, and 349 valid responses were analysed using AMOS (Analysis of Moment Structures) structural equation modelling. The study emphasised the impact of price, promotion and perceived behaviour control on CC and provided direction and advice for companies that rent and swap apparel.

According to the study, promotion and perceived behaviour control are the two key characteristics that significantly impact a consumer’s willingness to participate in CC in India. The study also found that perceived behaviour control plays a significant direct role in behavioural usage. These findings emphasise the impact of price, promotion and perceived behaviour control on CC and offer direction and advice for companies that rent and swap apparel.

This article can be used to evaluate the business in different countries and can be developed further. It does, however, have some restrictions. Because most respondents are from northern and central India, in addition, some respondents are from the southwestern and southern regions, especially in the Mumbai and Chennai locales. Hence, the geographical sample was not diverse in terms of demographics. Furthermore, the gender identity of the respondents might essentially affect how the authors interpret customer buying behaviour, but the study missed this. Researchers could enhance this by using various sampling techniques and ensuring that other demographic characteristics are considered in the future. Furthermore, the survey could not distinguish between online and in-person transactions.

The study provides practical advice for companies that rent and swap apparel, emphasising the impact of price, promotion and perceived behaviour control on consumer willingness to participate in CC. The findings suggest that companies can improve consumer participation by focusing on promotion and perceived behaviour control. In addition, the significance of perceived behaviour control on behavioural usage highlights the importance of empowering consumers to control their decisions to participate in CC.

To the best of the authors’ knowledge, this study is one of the first to examine the factors influencing consumer willingness to participate in CC in the context of the shift towards a circular economy in India. By examining the impact of the TPB and the marketing mix on consumer intention, the study provides valuable insights for companies that rent and swap apparel. The findings highlight the importance of promotion and perceived behaviour control in shaping consumer behaviour and provide practical direction for companies to promote and market their products effectively. The study adds to the existing knowledge on the circular economy and the role of CC in reducing waste and promoting sustainability.

Disruptions at ports may destroy the planned ship schedules profoundly, which is an imperative operation problem that shipping companies need to overcome. This paper attempts to help shipping companies cope with port disruptions through recovery scheduling.

This paper studies the ship coping strategies for the port disruptions caused by severe weather. A novel mixed-integer nonlinear programming model is proposed to solve the ship schedule recovery problem (SSRP). A distributionally robust mean conditional value-at-risk (CVaR) optimization model was constructed to handle the SSRP with port disruption uncertainties, for which we derive tractable counterparts under the polyhedral ambiguity sets.

The results show that the size of ambiguity set, confidence level and risk-aversion parameter can significantly affect the optimal values, decision-makers should choose a reasonable parameter combination. Besides, sailing speed adjustment and handling rate adjustment are effective strategies in SSRP but may not be sufficient to recover the schedule; therefore, port skipping and swapping are necessary when multiple or longer disruptions occur at ports.

Since the port disruption is difficult to forecast, we attempt to take the uncertainties into account to achieve more meaningful results. To the best of our knowledge, there is barely a research study focusing on the uncertain port disruptions in the SSRP. Moreover, this is the first paper that applies distributionally robust optimization (DRO) to deal with uncertain port disruptions through the equivalent counterpart of DRO with polyhedral ambiguity set, in which a robust mean-CVaR optimization formulation is adopted as the objective function for a trade-off between the expected total costs and the risk.