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The main purpose of this paper is to study the benefits that an Asian company can achieve by using e-commerce. Another objective is to identify and rank the barriers influencing the application of e-commerce by innovative small- and medium-sized enterprises (SMEs) in India, Malaysia, and Iran

The survey design uses a sample of 601 SMEs from three countries. In this study, data were collected by sending out questionnaires electronically and by mail. The Friedman test is used to analyse questionnaire data in conjunction with SPSS 16 software.

The results indicate that an “enhanced company brand and corporate image” is the most important e-commerce advantage from the perspective of East Asian SMEs, whereas “doubts about the security and privacy” is the most important barrier.

Differences between the three countries in terms of electronic structure and infrastructure are the most important limitations for the study.

As the company brand and the image of the company are very important in this region, companies should strategically invest into these areas. Nowadays, in times of social media, this is not as cost intensive as it was ten years before. So particularly, SMEs have a good chance to succeed in this area.

This paper offers researchers a broader and more comprehensive view of the benefits of and barriers to electronic commerce application by SMEs. Researchers, educators, and practitioners will benefit from this paper. The analyses are more complex and varied than the methodologies used in most of the limited previous research.

The purpose of this study is to investigate how Knowledge Management (KM) and Intellectual Capital (IC) can increase the organizational performance of ambulatory healthcare providers and how such performance can be assessed.

Following the PRISMA guidelines, a structured review of peer-reviewed English-speaking articles up to 31^st December 2019 was conducted. A search of ACM Digital Library, Cochrane Library, DARE, EBSCOHost, Medline, ProQuest, PubMed, ScienceDirect, Scopus and Web of Science produced 8,391 results. All studies that did not examine the impact of KM initiatives on organizational performance in an ambulatory healthcare provider setting were eliminated. The final sample of 31 studies was examined regarding the design of the KM initiatives as well as the performance concepts and indicators employed.

A range of KM tools and methods (Electronic Health Records, Clinical Decision Support, Health Information Technology, Training, Communities of Practice) have been shown to improve healthcare processes but evidence of an impact on outcomes remains mixed. Performance indicators focus on medical quality but rarely capture economic or social performance. Indicators have been adapted from the medical field, but do not adequately capture IC and KM-induced performance.

This review provides an overview of KM initiatives in ambulatory healthcare and assesses the associated performance metrics through an IC lens. Thereby, it enables further research on the interplay of IC, KM and performance in ambulatory care and points to several research gaps. It provides managers with guidance for designing KM initiatives in their organizations

This paper aims to study the effect of isosceles triangle micro concave texture with different parameters on the performance of oil seal to obtain a reasonable combination of parameters.

Based on the theory of elastohydrodynamic lubrication, a numerical model is established by coupling the texture parameters of isosceles triangle with concave lip with the two-dimensional average Reynolds equation considering surface roughness.

The results show that there is an optimal combination of parameters to improve the performance of the oil seal. When hp = 5µm-6.5 µm, a = 110°−130°, O = 1.4, C = 1.6 mm-2.2 mm, the oil seal with isosceles triangle micro concave texture can show good lubrication characteristics, friction characteristics and sealing ability.

The model provides a new idea for the design of new oil seal products and provides a theoretical support for the application of surface texture technology in the sealing field in the future.

The purpose of this paper is to present a framework for maintenance analytics that is useful for the assessment of rail condition and for maintenance decision support. The framework covers three essential maintenance aspects: diagnostic, prediction and prescription. The paper also presents principal component analysis (PCA) and local outlier factor methods for detecting anomalous rail wear occurrences using field measurement data.

The approach used in this paper includes a review of the concept of analytics and appropriate adaptation to railway infrastructure maintenance. The diagnostics aspect of the proposed framework is demonstrated with a case study using historical rail profile data collected between 2007 and 2016 for nine sharp curves on the heavy haul line in Sweden.

The framework presented for maintenance analytics is suitable for extracting useful information from condition data as required for effective rail maintenance decision support. The findings of the case study include: combination of the two statistics from PCA model (T² and Q) can help to identify systematic and random variations in rail wear pattern that are beyond normal: the visualisation approach is a better tool for anomaly detection as it categorises wear observations into normal, suspicious and anomalous observations.

A practical implication of this paper is that the framework and the diagnostic tool can be considered as an integral part of e-maintenance solution. It can be easily adapted as online or on-board maintenance analytic tool with data from automated vehicle-based measurement system.

This research adapts the concept of analytics to railway infrastructure maintenance for enhanced decision making. It proposes a graphical method for combining and visualising different outlier statistics as a reliable anomaly detection tool.

The chapter explored integrating smart construction techniques in achieving stealth construction objectives, emphasising the development of building cross-sections, visibility management, energy transmission optimisation, and countermeasure implementation. It delved into the multifaceted aspects of smart construction towards achieving stealth construction goals, including environmental protection, enhanced construction safety, accelerated construction duration, cost-effectiveness, and aesthetic considerations. Furthermore, the chapter underscores the importance of leveraging innovative approaches and advanced technologies to meet the evolving demands of stealth construction projects and pave the way for sustainable, safe, and aesthetically pleasing built environments.

The purpose of this paper is to study the pumping efficiency of oil seals with different surface textures at different speeds, and the influence of the rotation direction of triangular texture on the sealing performance was further analyzed.

Based on the theory of elastohydrodynamic lubrication and the pumping mechanism of rotary shaft seals, establishing a numerical model of mixed lubrication in oil seal sealing area. The model is coupled with the lip surface texture parameters and the two-dimensional average Reynolds equation considering the surface roughness.

The results show that the application of lip surface texture technology has obvious influence on the oil film thickness, friction torque and pumping rate of oil seal. The triangular texture has the most significant effect on the increase of pump suction rate. When the rotation direction of triangular texture is 315 degrees, the pumping rate of oil seal is the largest compared with the other seven directions.

The model has a comprehensive theoretical guidance for the design of new oil seal products, which provides a certain basis for the application of surface texture technology in the field of sealing in the future.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2020-0198/

This chapter discussed the implementation of the digital twin (DT) idea into construction. Through the adoption of DTs into construction practices, construction professionals have been able to project an identical virtual concept of sections of the project execution right from the onset. In the introduction and discussing of its origin, the DT was further assessed about its applications in construction beneficial in enhancing project delivery. Other sections like barriers, drivers and benefits of the DT in construction summarised what this chapter represents in terms of discussing the new involvement of digital tools in construction execution, management and sustainability.

Advances in artificial intelligence have ushered in new opportunities for marketers in the domain of content generation. We discuss approaches that have emerged to generate text and image content. Drawing on the customer equity framework, we then discuss the potential applications of automated content generation for customer acquisition, relationship development, and customer retention. We conclude by discussing important considerations that businesses must make prior to adopting automated content generation.