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In the twenty-first century, technology and information are continuously being changed and rapidly updated. Many new innovations and discoveries emerge daily. This study aims to identify significant pioneers and milestones in academic research through utilizing bibliometric methods and heterogeneous data, including textbook citations, citations of theses and dissertations, and journal citations.

This study proposes several methods and formulas for recommending Nobel prizes candidates. Through utilizing bibliometric methods and heterogeneous data, including textbook citations, citations of theses and dissertations, and journal article citations, this research facilitates the collection of numerous significant research results. The authors propose several new, useful formulae, including a pioneer paper impact factor, a popular classical paper impact factor, a ranking factor of specific fields, a groundbreaking author impact factor, and a frequently cited author impact factor.

This study utilizes historical information on the Nobel Prize to examine, revise, and verify existing methods for recommending and predicting candidates, in order to enhance the accuracy and availability of the approach presented by this study. The experimental results show that the approach designed in this study had a rate of successful prediction exceeding 50 percent. The major reason for producing reasonable results is that the milestone paper and pioneer paper are filtered first, and then the important candidate authors from the most pioneer paper are filtered. Therefore, the results indicated the feasibility of the methods developed by this study.

The purpose of the Nobel Prize is to reward original research findings or inventions that significantly and positively influence human life. However, due to budget limitations, only five fields are included in the academic domains for which Nobel prizes are awarded. The authors develop one useful new way to identify milestone papers and authors. Young students can choose, read and learn from these milestone papers. The pioneer authors identified by this research could be the recommended candidate list for some academic awards.

Ship chandlers’ trucks are now facing challenges owing to their job characteristics, which will lead to low productivity of trucks, congestions and pollutions at the port. The aim of this paper is to identify important causes and the effects of low truck productivity at the port under the demand of sustainable development.

Based on the literature review, potential causes and relevant analysis are developed and carried out by using a systematic approach, incorporating in-depth interviews with experts, cause analysis and risk management process.

Results from the research framework showed that a lack of communication with the port, late arrival of ships, truck congestion and fragmented deliveries are the most important factors that led to low truck productivity at the port. A solution that combines an integrated system that shares real-time information with the port, a consolidation hub and a truck-pooling platform is proposed to comply with green port concepts, together with factors considerations.

Although the operation of ship chandlers’ trucks is a derived business in overall port operations, it is an indispensable element at the port. The findings present a new insight to the relationship between ship chandlers’ trucks productivity and port operation efficiency for industry practitioners and port policymakers.

The introduction of digitalisation in the shipping industry has fundamentally transformed traditional business models. This necessitates an investigation of its impact on customer satisfaction. This study aims to adapt the technology acceptance model in its survey instrument design to understand and evaluate customer satisfaction of shipping lines’ digital platforms.

This study used a mixed-methods approach, incorporating quantitative and qualitative research techniques. Primary data were collected through an online survey designed to measure customer satisfaction in relation to the digitalisation initiatives implemented by the shipping lines. Survey respondents comprised professionals who were online platform users, particularly in the instant spot quotation process and blockchain bill of lading.

The results for both instant spot quotation process and blockchain bill of lading revealed digital trust to be the most influential determinant of customer satisfaction, followed by perceived ease of use and perceived usefulness. There was also a very strong correlation between perceived ease of use and perceived usefulness as well as between digital trust and perceived ease of use. The managerial implications of digitalisation are also discussed.

The adoption of digital tools is gaining traction in the container shipping sector, and there exists a need to investigate the correlation between digitalisation and customer satisfaction. This study offers significant insights to stakeholders in the shipping industry, particularly in designing and implementing user-friendly digital platforms.

This study examines whether corporate social responsibility (CSR) initiatives positively impact customers’ selection of retail banks in Hong Kong (HK) and identifies which CSR domains affect customers’ selection of banks.

This study adopted a quantitative approach. Primary data were collected from 416 customers of 22 retail banks in HK. The theoretical framework of this study was developed from a literature review, prior studies by Oberseder et al. (2013 and 2014), and CSR initiatives implemented by leading retail banks in HK. Descriptive statistics and statistical tests were used to analyze the data.

The study found that CSR initiatives positively affect customers’ bank selection. CSR initiatives related to the customer and environment domains are likely to have a greater impact on customers than those related to the society domain and are not likely to significantly impact customers’ bank selection.

This study contributes to the CSR literature by offering enhanced insight into the dynamics of CSR and its effects on customer bank selection. Furthermore, this study tests consumers’ perceptions of CSR initiatives in each CSR domain in the banking sector in Hong Kong – a novel approach that has not been previously explored in existing studies. These findings can help banks review the effectiveness of their CSR initiatives and make informed decisions on which initiatives should pursue improved CSR performance and efficient resource allocation.

This study aims to investigate the influence of perceived risk, including financial, functional, aesthetic, sanitary, psychological and social risks, on the intention to purchase second-hand clothing (SHC) between SHC consumers and non-SHC consumers based on perceived risk theory.

A total of 290 responses were collected, with 110 from SHC consumers and 180 from non-SHC consumers. Partial least squares structural equation modelling was used to validate the hypotheses. Additionally, a permutation test and multigroup analysis (MGA) were performed.

The findings indicate that different types of risk have varying effects on both SHC and non-SHC consumers’ intention to purchase SHC. In particular, financial, aesthetic and social risks are found to be significant predictors of purchase intention for SHC consumers. By contrast, sanitary and psychological risks are significant predictors of purchase intention for non-SHC consumers. Furthermore, the MGA results indicate a significant difference between SHC consumers and non-SHC consumers in the relationship between financial risk, social risk and purchase intention.

To the best of the authors’ knowledge, this is the first study to examine the effects of different types of risk on the intention to purchase SHC in both SHC and non-SHC consumers. The findings will provide practitioners with practical insights for developing more effective strategies to target these two distinct consumer groups.

This study aims to investigate the three-way interaction effect of sanitary risk, aesthetic risk and psychological risk on consumers' purchase intention for second-hand clothing (SHC) based on perceived risk theory.

A survey method is used to collect data from consumers, and the final valid sample comprises 290 respondents. Partial least squares structural equation modelling (PLS-SEM) and PROCESS macro are used to analyse the data.

The results reveal that aesthetic risk moderates the negative influence of sanitary risk on purchase intention, such that the negative influence is stronger when aesthetic risk is high. In addition, the three-way interaction effect of sanitary risk, aesthetic risk and psychological risk on consumers' purchase intention for SHC is found to be significant. That is, the negative influence of sanitary risk on purchase intention is strongest when both aesthetic risk and psychological risk are high.

Previous studies have only examined the direct effect of perceived risk on consumers' purchase intention for SHC. This study contributes to perceived risk theory by examining the joint moderating effect of aesthetic risk and psychological risk on the relationship between sanitary risk and purchase intention in the context of SHC.

The demand for second-hand clothing has risen rapidly in the past few years. Yet, the understanding of the motivations of consumers buying second-hand clothing is very limited. The purpose of this study is to propose and empirically test an integrated model of the theory of planned behaviour and the theory of consumption values to explain consumers' intention to buy second-hand clothing.

Data (n = 290) are collected from consumers in Malaysia and analysed by partial least squares structural equation modelling (PLS-SEM).

Results of this study show that attitudes towards second-hand clothing, injunctive norms, descriptive norms, moral norms, and perceived behavioural control have a significant positive influence on consumers' intention to buy second-hand clothing. Furthermore, emotional value and environmental value are found to have a significant positive influence on attitudes. However, no support is found for the positive influence of social value and epistemic value on attitudes.

The study confirms that the integrated model is useful in explaining consumers' intention to buy second-hand clothing. Furthermore, this study also provides some valuable suggestions to practitioners.

The wake of the novel coronavirus (COVID-19) pandemic had caused substantial disruptions to the usual delivery of healthcare services. This is because of restrictive orders that were put in place to curb the spread of the infection. Palliative care services in Brunei also face challenges to deliver effective services during this period. However, the impact of advanced illnesses on patients' health and end-of-life care are issues that cannot be planned, postponed or cancelled. Hence, the palliative care team needs to continue to deliver effective palliative care services. As Brunei faced its second pandemic wave in August 2021, crucial adaptations were made to ensure palliative care service was not disrupted. This reflective case study aims to discuss the adaptations made in providing palliative care during this era of disruptions.

This paper presents a systematic review of the literature in the domain of maritime disruption management, upon which future research framework and agenda are proposed. Two review questions, i.e. the measures that are employed to manage disruptions and how these contribute to resilience performance, were pursued.

The systematic literature review procedure was strictly followed, including identification and planning, execution, selection and synthesis and analysis. A review protocol was developed, including scope, databases and criteria guiding the review. Following this, 47 articles were eventually extracted for the systematic review to identify themes for not only addressing the review questions but also highlighting future research opportunities.

It was found that earlier studies mainly focused on measures, which are designed using mathematical models, management frameworks and other technical support systems, to analyse and evaluate risks, and their impacts on maritime players at the levels of organisation, transport system and region in which the organisation is embedded. There is, however, a lack of research that empirically examines how these measures would contribute to enhancing the resilience performance of maritime firms and their organisational performance as a whole. Subsequently, a Digitally Embedded and Technically Support Maritime Disruption Management (DEST-MDM) model is proposed.

This review is constrained by studies recorded by the Web of Science only. Nevertheless, the proposed research model would expectedly contribute to enhancing knowledge building in the specific domain of maritime disruption management and supply chain management overall while providing meaningful managerial implications to policymakers and managers in the maritime industry.

This research is perhaps one of the first studies which presents a systematic review of literature in maritime disruption management and proposes a future research framework that establishes the link between disruption management and resilience and organisational performance for empirical validation.