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The phenomenal growth in dog ownership, dog-related products and services consumption, and the development of the pet industry emphasizes the need for a deeper understanding of dog-human companionship. This study explored different dimensions of willingness to buy and pay for dog-human companionship.

The study was conducted among dog owners (N = 337). The data was collected from the dog owners through an adapted questionnaire. Variance-based Partial Least Square Structural Equation Modeling (PLS-SEM) was applied to understand the relationship among the variables under study.

The results of the data analysis revealed that specialty purchases and activity/youth had a significant association with willingness to pay for dog companionship. However, boundaries predict the willingness to buy products and services related to dogs. In addition, there was a significant difference between males and females regarding buying intentions, wherein females were willing to buy dog products in the Indian context.

This study provides significant dimensions of willingness to buy and pay for the pet industry. The results of this study can help managers draft marketing strategies to influence dog owners.

This study aims to investigate the interaction effect between offering supply chain finance (SCF) programmes and sustainability ratings on the liquidity performance of buyers and suppliers.

The study uses a unique sample of buyers that each have an SCF programme. The sample is complemented with financial information and sustainability scores. The data is analysed through a random effects model.

Aligning with recent advances in SCF literature, the results confirm a tendency for SCF programmes to favour buyers over suppliers. However, the relationship between SCF programme adoption and liquidity performance for buyers and suppliers is positively moderated by the strong sustainability performance of both parties.

Buyers and suppliers are advised to implement and adopt effective SCF programmes that are beneficial for both parties. For buyers, the authors suggest leveraging on SCF programmes as incentives to foster sustainable behaviour among suppliers. For suppliers, the authors recommend caution before joining programmes offered by buyers that do not perform well on sustainability.

Enhancing sustainability within global supply chains and fostering favourable payment practices towards suppliers are crucial for policy development and regulation. The findings clarify the connection between both components, offering valuable insights for policymakers in this domain.

The study is built on a manually picked, unique database of buyers offering SCF programmes to their suppliers. This allows, across a large sample, an evaluation of the differences between buyers that offer SCF programmes and those that do not.

In recent years, gambling among university students has received significant focus as it may be viewed as an attractive and exciting form of income whilst studying. Given this, stakeholders in protection from gambling-related harm need to better understand student gambling behaviours. This understanding should include students on sports-based programmes given their closer connection to sporting events, and a heightened sense of competition among such often gendered cohorts. This study aims to provide greater insights into gambling behaviours among these cohorts.

The present pilot study comprised 210 university students on sports-based and non-sport-based programmes. Participants self-reported frequencies of gambling activity and expenditure via an online survey.

Results showed a significantly greater frequency of female student non-gamblers on non-sports-based degree programmes and a high frequency of male student gamblers on sports-based degree programmes (p = 0.02). Sports-based students also reported significantly higher scores on the Problem Gambling Severity Index (PGSI) than non-sports students (p < 0.01). Finally, gambling expenditure (p < 0.01) and regularity (p < 0.01) were significantly lower among students studying non-sports degree programmes.

The findings of the present study provide evidence to warrant further investigation into gambling perceptions and behaviours among students on sports-based programmes, with a view to assessing the potential need for targeted awareness, tailored support and how both can most effectively be provided.

This study aims to explore the linguistic and syntactic textual features of Central Bank of Nepal (Nepal Rastra Bank [NRB])’s monetary policy. Considering the recent literature and methodological advancement in computational linguistic analysis, this study intends to explore the features of published monetary policy reports.

Text mining technique has been used on the monetary policy published by Central Bank of Nepal for the period between 2002/03 and 2021/22 to describe the textual features such as length, tone, degree of forward looking, use of numerical contents and readability. The raw text was tokenized using Python’s Natural Language Toolkit. Considering the LM dictionary, the frequency of tokens matching with dictionary is computed and divided by total number of words to normalize the obtained value.

This study found that NRB publishes lengthy monetary policies during economic contractions and vice versa. The tone of the policies are pessimistic most of the time. NRB’s policies are not sufficiently forward looking and complex to be comprehended by layman. Ergo, NRB shall form a team of communication experts to ensure publication of optimistic policies with appropriate linguistic features. Furthermore, publishing the minutes of monetary policy meetings will help enhance effective communication through transparency and proper functioning of expectations channel.

To the best of the authors’ knowledge, no similar study has been conducted to assess the textual features of monetary policy in Nepal. And this study will be helpful to gauge the status of central bank communication in the context of emerging and least developed countries.

This systematic literature review aims to investigate the application and integration of Industry 4.0 (I4.0) technologies in transportation infrastructure construction projects focusing on sustainability pillars.

The study employs a systematic literature review approach, combining qualitative review and quantitative analysis of 142 academic articles published between 2011 and March 2023.

The findings reveal the dominance of Building Information Modelling (BIM) as a central tool for sustainability assessment, while other technologies such as blockchain and autonomous robotics have received limited attention. The adoption of I4.0 technologies, including Internet of Things (IoT) sensors, Augmented Reality (AR), and Big Data, has been prevalent for data-driven analyses, while Unmanned Aerial Vehicle (UAVs) and 3D printing are mainly being integrated either with BIM or in synergy with Artificial Intelligence (AI). We pinpoint critical challenges including high adoption costs, technical barriers, lack of interoperability, and the absence of standardized sustainability benchmarks.

This research distinguishes itself by not only mapping the current integration of I4.0 technologies but also by advocating for standardization and a synergistic human-technology collaborative approach. It offers tailored strategic pathways for diverse types of transportation infrastructure and different project phases, aiming to significantly enhance operational efficiency and sustainability. The study sets a new agenda for leveraging cutting-edge technologies to meet ambitious future sustainability and efficiency goals, making a compelling case for rethinking how these technologies are applied in the construction sector.