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Technology is the lifeline for the logistics industry, and it has been immensely disrupted by the emerging blockchain technology. This paper has two main objectives. The first is to explore how the current blockchain technology can be implemented in the logistics industry with the aim of improving logistic services amongst the network of logistics service providers (LSPs). The second is to propose the development of a blockchain model for the small and medium logistics service supply chain.

A prototype blockchain-based logistics system has been created and tested in a case study with a real logistics company. The primary technologies for developing a blockchain model on the Hyperledger platform as well as how the system is designed based on the logistics service flow are explained.

The study has resulted in the successful implementation of the proposed prototype blockchain-based logistics system. In particular, the case company has managed to fully utilise the developed tracking and tracing system. Whilst utilising the prototype, the participants have been able to fulfil their responsibilities in an effective manner. The performance of LSPs has improved following the World Bank Logistics Performance Index (LPI) criteria.

This paper contributes to current research in the application of blockchain technologies in the domain of logistics and the supply chain to progress LSPs towards Logistics 4.0. The current frameworks for Logistics 4.0 and how blockchain as a disruptive technology revolutionises logistic services are reviewed. In addition, this paper highlights the benefits of blockchain technology that LSPs can leverage to further improve their performance based on the LPI criteria.

To propose a generic method to simplify the fuzzy logic‐based failure mode and effect analysis (FMEA) methodology by reducing the number of rules that needs to be provided by FMEA users for the fuzzy risk priority number (RPN) modeling process.

The fuzzy RPN approach typically requires a large number of rules, and it is a tedious task to obtain a full set of rules. The larger the number of rules provided by the users, the better the prediction accuracy of the fuzzy RPN model. As the number of rules required increases, ease of use of the model decreases since the users have to provide a lot of information/rules for the modeling process. A guided rules reduction system (GRRS) is thus proposed to regulate the number of rules required during the fuzzy RPN modeling process. The effectiveness of the proposed GRRS is investigated using three real‐world case studies in a semiconductor manufacturing process.

In this paper, we argued that not all the rules are actually required in the fuzzy RPN model. Eliminating some of the rules does not necessarily lead to a significant change in the model output. However, some of the rules are vitally important and cannot be ignored. The proposed GRRS is able to provide guidelines to the users which rules are required and which can be eliminated. By employing the GRRS, the users do not need to provide all the rules, but only the important ones when constructing the fuzzy RPN model. The results obtained from the case studies demonstrate that the proposed GRRS is able to reduce the number of rules required and, at the same time, to maintain the ability of the Fuzzy RPN model to produce predictions that are in agreement with experts' knowledge in risk evaluation, ranking, and prioritization tasks.

The proposed GRRS is limited to FMEA systems that utilize the fuzzy RPN model.

The proposed GRRS is able to simplify the fuzzy logic‐based FMEA methodology and make it possible to be implemented in real environments.

The value of the current paper is on the proposal of a GRRS for rule reduction to enhance the practical use of the fuzzy RPN model in real environments.

The roles of small and medium‐scale industries (SMIs) are well‐documented (see Ragayah Haji Mat Zin, 1996). SMIs not only continue to be the majority of enterprises everywhere and exist side‐by‐side with large industries in developed countries such as Japan, Germany, Italy and the United States of America, they are also regarded as the engine of growth in the Newly Industrializing Economies (NEEs). In the developed countries, SMIs are said to be able to generate more employment relative to large firms as well as plying a complementary role to the latter. In Japan, for example, of the 430,393 enterprises in the Japanese manufacturing sector at the end of 1991, 99.1%, or 436,455, were small businesses, which also accounted for 72.1% of the employees and 51.8% of the value of shipment in this sector (JFS, 1993). They are seen to play a wider role in developing countries. In addition to the above, many studies (see for example Chee, 1985, 1990; Levy, 1993; and Rahmah Ismail, 1995) have shown that SMI entrepreneurs can mobilize savings, SMIs can act as seedling beds for entrepreneurial training, as well as improve income distribution.

The Asian crisis, which exploded in Thailand in July 1997 initially, spilled to the other ASEAN countries (Indonesia, Malaysia, and Philippines) and later it spreads to Korea and even crossing the continent to Russia and Brazil. The chronological pattern seems to indicate the contagious behaviour of the crisis. However, the sequential economic down‐turns that occurred in the Asia Pacific do look like a contagion effect. The idea that currency speculators contributed to the depth of the crisis is agreeable but to conclude that they are the roots of the problem would be misleading. This paper argued that the roots of the problems lie in current account deficit and loss of competitiveness, and moral hazard and over‐investment This paper also argued that the currency crisis is a symptom and not the cause of the Asian crisis.

Wrong lens implants have been associated with the highest frequency of medical errors in cataract surgery. The purpose of this paper is to explore the use of the Systems Engineering Initiative for Patient Safety (SEIPS) framework to sustainably reduce wrong intraocular lens (IOL) implants in cataract surgery.

In this mixed-methods study, the SEIPS framework was used to analyse a series of (near) misses of IOL implants in a national tertiary specialty hospital in Singapore. A series of interventions was developed and applied in the case hospital. Risk assessment audits were done before the interventions (2012; n=6,111 surgeries), during its implementation (n=7,475) and in the two years post-interventions (2013-2015; n=39,390) to compare the wrong IOL-rates.

Although the absolute number of incidents was low, the incident rate decreased from 4.91 before to 2.54 per 10,000 cases after. Near miss IOL error decreased from 5.89 before to 3.55 per 1,000 cases after. The number of days between two IOL incidents increased from 35 to an initial peak of 385 before stabilizing on 56. The large variety of available IOL types and vendors was found as the main root cause of wrong implants that required reoperation.

The SEIPS framework seems to be helpful to assess components involved and develop sustainable quality and safety interventions that intervene at different levels of the system.

The SEIPS model is supportive to address differences between person and system root causes comprehensively and thereby foster quality and patient safety culture.

In prior literature, online endorsement system allowing the users to “like” or “dislike” shared information is found very useful in information filtering and trust elicitation in most social networks. This paper shows that such systems could fail in the context of investment communities due to several psychological biases.

This study develops a series of regression analyses to model the “like”/“dislike” voting process and whether or not such endorsement distinguishes between valuable information and noise. Trading simulations are also used to validate the practical implications of the findings.

The main findings of this research are twofold: (1) in the context of investment communities, online endorsement system fails to signify value-relevant information and (2) bullish information and “wisdom over the past event” information receive more “likes” and fewer “dislikes” on average, but they underperform in stock market price discovery.

This study demonstrates that biased endorsement may lead to the failure of the online endorsement system as information gatekeeper in investment communities. Two underlying mechanisms are proposed and tested. This study opens up new research opportunities to investigate the causes of biased endorsement in online environment and motivates the development of alternative information filtering systems.

Cultivating customer loyalty is extremely crucial for fast-food players to remain competitive in the industry. This research is discovering the path to cultivate customer loyalty through experience that is built based on auditory, gustatory, haptic, olfactory and visual cues.

Quantitative research has been conducted by distributing survey questionnaires to customers at selected fast-food restaurants in urban areas. The collected data has been analyzed by descriptive and structural equation modeling analysis.

The customers' loyalty to fast food can be cultivated through gustatory, haptic and olfactory cues. However, auditory and visual are not functioning as marketing cues to cultivate customer loyalty.

The fast-food players may emphasize gustatory, haptic and olfactory marketing cues to cultivate customer loyalty. These cues can be shared through experience.

This study has discovered the potential ways to cultivate customer loyalty in dining at fast-food restaurants within the Malaysian market.

This study aims to evaluate the usage of partial least squares structural equation modeling (PLS-SEM) in journals related to logistics and supply chain management (LSCM).

Based on a structured literature review approach, the authors reviewed 401 articles in the field of LSCM applying PLS-SEM published in 15 major journals between 2014 and 2022. The analysis focused on reasons for using PLS-SEM, measurement model and structural model evaluation criteria, advanced analysis techniques and reporting practices.

LSCM researchers sometimes did not clarify the reasons for using PLS-SEM, such as sample size, complex models and non-normal distributions. Additionally, most articles exhibit limited use of measurement models and structural model evaluation techniques, leading to inappropriate use of assessment criteria. Furthermore, progress in the practical implementation of advanced analysis techniques is slow, and there is a need for improved transparency in reporting analysis algorithms.

This study contributes to the field of LSCM by providing clear criteria and steps for using PLS-SEM, enriching the understanding and advancement of research methodologies in this field.

National Health Systems (NHS) experience low trust and lack of public confidence while receiving strong pressure from governments and societies to improve their quality and compete effectively. The purpose of this paper is threefold. First, to investigate how patients perceive service quality in Greek NHS hospitals. Second, to assess patients' perceptions, expectations and the relevant gaps concerning the quality provided by public hospitals. Third, to determine the relative importance of quality dimensions in influencing patients' overall quality perceptions.

Empirical research using the SERVQUAL instrument was conducted in six NHS hospitals located in North Greece. A total of 137 usable questionnaires were collected.

The research results revealed a three‐dimension SERVQUAL construct, which proved to be a valid, reliable and flexible tool for measuring quality in Greek hospitals. The human factor was revealed as being the most critical dimension of quality, reflecting the significance of the traditional view of the doctor‐patient relationship. Quality gaps are illuminated, suggesting that there is room for improvement initiatives.

The paper provides guidelines to hospital managers and policymakers as to developing strategies that aim at meeting patients' expectations of service quality and restoring trust in public hospitals.

The paper sheds light on service quality, a critical aspect of hospital performance, drawing attention to patients' orientations. The study gives support to the view that quality in hospitals can be determined, measured and systematically monitored with the goal of responding to patients' needs.

The purpose of this paper is to explore the differences between Hong Kong Special Administrative Region (SAR) and Mainland in terms of education and also the influence of it on doing comparative educational research. Hong Kong SAR is ruled by the Chinese Government under the framework of “One country, two systems.” It makes Hong Kong SAR different from other Mainland cities based on different aspects including, education. The finding of this paper provides a systematic review about the differences between these two Chinese societies in terms of education and also implication for conducting comparative educational research in these two societies and also generating some implications for cross-national and cross-cultural study in education.

This paper made references from the framework proposed by Bray and Thomas (1995) in relation to comparative educational research to make comparison between Hong Kong SAR and Mainland China. Multi-level comparison is conducted between two societies in terms of education, especially aspects relating to conducting educational research sat social, school and individual levels.

This paper identified the influence of “One county, two systems” on education at different levels such as ideology, school management system and use of languages in teaching. Such differences affect the choice of topics, sampling strategy, research design, data analysis and interpretation and also ethical considerations when conducting comparative research between Hong Kong SAR and Mainland China.

This paper is an integrated analysis of conducting educational research in two Chinese societies and provides insights for further discussions and possible research about this topic.