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The purpose of this paper is to describe the development of a personalised information support system to help faculty members to search various portals and e‐resources without typing the search terms in different interfaces and to obtain results re‐ordered without human intervention.

After a careful survey of various tools and techniques available for computerised client‐centred information services, the study selected to apply web usage mining, proxy level data collection and a vector space retrieval model to develop the personalised information support for teaching and research in a higher education institution.

There are practical constraints in the implementation stage. There is considerable difficulty in getting real and correct user interests and mapping them effectively into the products and services offered by the library. Also the interests of users change continuously. If multiple users share the same PC, it is difficult to identify the user as there is no one‐to‐one mapping between user and IP address.

The paper has not considered cases for all the faculty members due to time constraints. The results obtained from the system also need correlation with the sources actually used by the faculty to test its efficacy in a highly fluid research situation like higher academics.

A pragmatic client‐centred information support prototype described in this paper may find use in other institutions needing similar information support.

This paper demonstrates the pragmatic application of ICT for linking users and e‐resources in an academic library.

The purpose of this paper is to describe the benefits of integrating personalization within a library web site and presents methodology for achieving this goal within an academic setting.

The project documented in this study explores the use of student course enrollment data as the basis for creating a personalized library web site. Off-the-shelf, open source applications are used in conjunction with existing university data to deliver a final product that offers an enhanced user experience for the university community.

Adaptive personalization is increasingly commonplace on the web. Academic libraries have a unique source of existing data that offers the potential of adding personalization to the library web site. At present, the personalization of library online services remains largely unexplored. This project illustrates one relatively low-cost method to help libraries interested in creating personalized web sites.

This paper provides a guide for libraries interested in the implementation of personalization within their web sites.

The project described in this case study is highly unique within libraries. The paper outlines the feasibility and technical requirements associated with using course enrollment data to add personalized content to a library web site.

Natural extracts produced with Annona squamosa and Moringa oleifera leaves through the methanol-based solvent were coated on 100% cotton and 80%:20% polyester/cotton blends to improve the functional properties such as antimicrobial activity, wicking, stiffness and crease recovery of the fabric using an eco-friendly 1,2,3,4-butane tetracarboxylic acid (BTCA) crosslinking agent.

In this study, 100% cotton and 80:20% Polyester/Cotton fabrics with surface densities of 113.5 g/m2 and 101 g/m2 were treated BTCA. Eight different samples were produced by padding through the natural extracts. The FTIR investigation was performed on all the fabric samples. These coated fabrics were studied for their antimicrobial activity, wicking, stiffness and crease recovery properties.

It was found that the BTCA cross-linked fabrics showed higher antimicrobial activity against gram-positive and gram-negative bacteria. Similarly, the percentage crease recovery angle was higher for the Annona squamosa coated sample than for Moringa Oleifera leaf extract in both cotton and polyester cotton blend samples. Furthermore, no significant variation in stiffness values was discovered between the control samples of cotton and polyester cotton blend and its treatment one. It was interesting to note that treating the fabrics with cross-linker showed improved vertical wicking properties, which were closer to control fabric values. The study confirms that crosslinking the fabrics with BTCA has improved the functional properties of the fabrics. The zone of inhibition values of BTCA cross-linked moringa methanolic leaves extract coated cotton and polyester cotton blend were 6 to 6.5 cm, which was more than 50% higher than non-BTCA cross-linked fabric, and BTCA cross-linker has improved the vertical wicking properties.

The outcome of this study will help to gain a better understanding of BTCA cross-linkers for improving the functional coating on textile substrates.

This study was conducted to improve the natural extract coating on textile material with eco-friendly aspects, enhancing the commercial utility of these finished fabrics

This study aims to reduce the redundant weight of the anti-roll torsion bar brought by the traditional empirical design and improving its strength and stiffness.

Based on the finite element approach coupled with the improved beluga whale optimization (IBWO) algorithm, a collaborative optimization method is suggested to optimize the design of the anti-roll torsion bar structure and weight. The dimensions and material properties of the torsion bar were defined as random variables, and the torsion bar's mass and strength were investigated using finite elements. Then, chaotic mapping and differential evolution (DE) operators are introduced to improve the beluga whale optimization (BWO) algorithm and run case studies.

The findings demonstrate that the IBWO has superior solution set distribution uniformity, convergence speed, solution correctness and stability than the BWO. The IBWO algorithm is used to optimize the anti-roll torsion bar design. The error between the optimization and finite element simulation results was less than 1%. The weight of the optimized anti-roll torsion bar was lessened by 4%, the maximum stress was reduced by 35% and the stiffness was increased by 1.9%.

The study provides a methodological reference for the simulation optimization process of the lateral anti-roll torsion bar.

The purpose of this paper is propose a strategic framework for understanding interpartner negotiation dynamics in alliances.

The authors define interpartner negotiations as a process of reconciling and integrating the interests of the partners in an alliance, and consider four types of interpartner negotiation strategies – problem solving, contending, yielding, and compromising – and then discuss the dynamics of these negotiation strategies in the formation, operation, and outcome stages of alliance development.

The framework makes clear that the four types of interpartner negotiation strategies identified in the article need to be appreciated as having differential impact at each stage of alliance development.

As interpartner negotiations occur at all stages of alliance evolution, future research may seek to empirically assess the impact of different interpartner negotiation strategies.

The paper discusses how alliance managers can deploy effective interpartner negotiation strategies for achieving alliance objectives at each of the three developmental stages.

The article responds to the need of managers with alliance responsibilities for a framework to help identify and exploit the most effective ways to conduct interpartner negotiations in alliances for productive interactions at different alliance development stages.

The objective of this study is to investigate the effect of service excellence and guest delight on guest affective commitment to luxury restaurants, more specifically, the mediating effect of guest delight in the relationship between service excellence and guest affective commitment.

Data were collected from 270 guests with a response rate of 67.5%. SmartPLS software was used for data analysis.

The findings indicate that service excellence and guest delight had increased guest affective commitment to the luxury restaurant. It has been determined that guest delight acts as a mediator between service excellence and guest affective commitment.

Providing a high level of service excellence and delighting, thereby encouraging luxury guests to have a high level of commitment to the restaurant. Therefore, luxury guests' expectations must be exceeded to obtain their commitment to the restaurant.

This research study provides a substantial contribution to the hospitality literature by providing a significant concept of guest delight that can offer the opportunity to establish a new understanding of guest affective commitment in the luxury restaurant context.

Traditional analytical methods are often time-consuming and require bulky instruments, making their widespread implementation challenging. This paper aims to represent the principal concepts of biosensors as an introduction of this technology to readers and offers a comprehensive understanding of its functions.

The authors provide descriptions of the components, characteristics and advantages of biosensors along with the immobilization methods, followed by a brief discussion.

A biosensor is an analytical device comprising a specific biomolecule and a transducer in conjunction with an output system. The biomolecule recognizes a specific target which leads to a change in physicochemical properties of a system. This biorecognition phenomenon is later converted into a detectable signal by the transducer. Biosensors can essentially serve as rapid and cost-effective devices with excellent sensitivity and specificity for critical purposes in innumerable fields, ranging from scientific research to day-to-day applications.

Here, the authors explain and discuss the approaches and challenges with the aim of leading to an interest in biosensor development and improving their applications.

The aim of this research is to explore the relationship between green job positions and descriptions, green performance management, green employee relations with job pursuit intentions and the role of employers’ prestige as the mediator.

A survey research design with a sample of 216 undergraduate specialising in the business fields from Malaysian private higher education institutions responded to the questionnaire, while purposive sampling and snowball sampling techniques were used in order to determine the research sample. Data for the research were collected from the target participants via questionnaires and Statistical Package for Social Science (SPSS), while partial least square structural equation modelling (PLS-SEM) via Smart-PLS was utilized to test the developed hypotheses of the research.

The results showed that only green employee relations has a significant relationship with job pursuit intentions out of the three direct hypotheses. As a result of assessing the mediating hypotheses, employers’ prestige mediates the effect of green job positions and descriptions and green employee relations on job pursuit intentions. Conversely, green performance management did not support the mediating association.

This research recommended practitioners to adopt green HRM fundamentals to enhance EP, which results in JPI. Also, the research aids managers and practitioners by providing the outlook of green HRM from a job seeker’s perspective, which can embolden the managers and practitioners in planning a systematic human resource.

The study contributes by enriching the literature concerning the dimensions of green HRM, which is an emergent topic in the human resource field. Furthermore, the study advances by proposing GER in the research framework.

The purpose of this paper is to examine the relationship between operational risk management and customer complaints. It also determines whether product complexity moderates the relationship between the operational risk management and customer complaints.

This study utilizes a quantitative method: quantitative data were collected using a questionnaire. The population of this study is 1,845 local conventional bank branches based in Malaysia.

The findings revealed that components of operational risk management, namely practice of hazard identification and formulation of implementation of risk control, have negative and significant relationships with customer complaints. Empirical evidence confirmed the moderating effects of product complexity on the relationship between operational risk management and customer complaints.

From the perspective of developing countries, the main contribution of this study is the elucidation of the effect of operational risk management on customer complaints in commercial banks in Malaysia. This study confirmed the usability of the resource-based view theory in the banking industry, as well as operational risk management as a bank resource.

Blockchain technology, a key feature of the fourth industrial revolution, is receiving widespread attention and exploration around the world. Taking the coronavirus pandemic as an example, the purpose of this study to examine the application of blockchain technology from the perspective of epidemic prevention and control.

Exploring multiple case studies in the Chinese context at various stages of deployment, this study documents a framework about how some of the major challenges associated with COVID-19 can be alleviated by leveraging blockchain technology.

The case studies and framework presented herein show that utilization of blockchain acts as an enabler to facilitate the containment of several COVID-19 challenges. These challenges include the following: complications associated with medical data sharing; breaches of patients' data privacy; absence of real-time monitoring tools; counterfeit medical products and non-credible suppliers; fallacious insurance claims; overly long insurance claim processes; misappropriations of funds; and misinformation, rumors and fake news.

Blockchain is ushering in a new era of innovation that will lay the foundation for a new paradigm in health care. As there are currently insufficient studies pertaining to real-life case studies of blockchain and COVID-19 interaction, this study adds to the literature on the role of blockchain technology in epidemic control and prevention.