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The purpose of this paper is to report the findings and lessons learned from a case study that is based on Alibaba's business‐to‐business (B2B) fraud in China. The influence of such incidents and post‐hoc solutions are research worthy in today's booming digital business world.

The paper uses a case study approach and practice‐driven method that rely on user behaviors, corporate policies, and financial data. The taxonomic framework of online fraud and corresponding countermeasures arise from digital forensic reports, policy reviews, data analysis, and a literature review.

The key findings are indigenous to the Chinese B2B landscape, yet they help international stakeholders understand and address fraudulent issues. The paper finds beside the traditional customer‐based account signature, internal employees must be assigned their own signature systems to track malicious activities. Meanwhile, digital signature systems can be enhanced by reducing the record inter‐arrival time. Policy revisions are proposed to (e.g. offshore companies) lead to the decrease in the number of fraudulent incidents.

The paper extends existing understanding of online fraud by studying a Chinese case. The findings are timely and based on real world experience. Actual practices are discussed and evaluated. A range of fraudulent activities is reviewed in a comprehensive framework. The findings are important due to the public exposure and wide implications of such an incident. Also, this study reveals that fraud protection is an on‐going effort requiring a triangulation of technical artifacts, policy management, and operations management.

This paper aims to examine and highlight the influence of perceived restrictiveness on online communication, and in relation, the reduction of uncertainty in purchasing decisions.

By testing statistical associations between such variables as uncertainty, perceived restrictiveness and online communications, the authors are to establish the prevalence of a phenomenon with quantitative methods that collect survey data from more than 500 real customers of a popular Chinese e-commerce site – Taobao.com.

The findings show that the perceived restrictiveness of a shopping website has a significantly role in motivating individuals to engage with each other by initiating online communication that leads to information acquirement and exchange. In addition, online communication that takes place between buyers and sellers, or among buyers, is found to be an important factor in the process of making purchasing decisions by customers.

This paper adds significance to the extant academic literature as well as assists the appropriate e-commerce vendors in assessing the determinants of customer’s purchasing behavior in the context where online shopping platforms do not support buyers’ desired decision options. It further reconciles and supplements the findings of the previous e-commerce-related studies that focus on the website characteristics only without bringing in the role of customer’s perceived restrictiveness.

This paper aims to fabricate nickel-aluminum (Ni-Al)-based self-lubricating composite coating on aluminum (Al) alloy by mechanical milling (MM).

A new carrier transport (CT) way was designed to solve the slippage fracture of the coating due to silver (Ag) accumulation (Ag powders were cold welded with nickel [Ni] powders by MM in advance to avoid accumulation, then Al powder and samples were added to fabricate the coating).

Microstructure analysis reveals that the solid lubricant Ag exists as particles in the composite coating via CT technique, which is different from the typical morphology (strip-type) of Ag tailored by normal methods. The unique granular form of Ag can effectively avoid the gliding fracture of the coating, thus forming an efficacious lubrication film on the worn surface, which is responsible for the excellent tribological properties of the coating.

Most of the papers reported that coatings synthesized by MM mainly concentrated on hard coatings, but the fabrication of self-lubricating coatings have not yet reported.

The uniform dispersion of solid lubricant Ag can effectively solves a fatal problem that the fracture failure of coating triggered by the Ag accumulation. This experiment provides a novel method for preparation of self-lubricating coating by MM.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-01-2020-0030

This paper reviews the synergy of Industry 4.0 and additive manufacturing (AM) and discusses the integration of data-driven manufacturing systems and product service systems as a key component of the Industry 4.0 revolution. This paper aims to highlight the potential effects of Industry 4.0 on AM via tools such as digitalisation, data transfer, tagging technology, information in Industry 4.0 and intelligent features.

In successive phases of industrialisation, there has been a rise in the use of, and dependence on, data in manufacturing. In this review of Industry 4.0 and AM, the five pillars of success that could see the Internet of Things (IoT), artificial intelligence, robotics and materials science enabling new levels of interactivity and interdependence between suppliers, producers and users are discussed. The unique effects of AM capabilities, in particular mass customisation and light-weighting, combined with the integration of data and IoT in Industry 4.0, are studied for their potential to support higher efficiencies, greater utility and more ecologically friendly production. This research also illustrates how the digitalisation of manufacturing for Industry 4.0, through the use of IoT and AM, enables new business models and production practices.

The discussion illustrates the potential of combining IoT and AM to provide an escape from the constraints and limitations of conventional mass production whilst achieving economic and ecological savings. It should also be noted that this extends to the agile design and fabrication of increasingly complex parts enabled by simulations of complex production processes and operating systems. This paper also discusses the relationship between Industry 4.0 and AM with respect to improving the quality and robustness of product outcomes, based on real-time data/feedback.

This research shows how a combined approach to research into IoT and AM can create a step change in practice that alters the production and supply paradigm, potentially reducing the ecological impact of industrial systems and product life cycle. This paper demonstrates how the integration of Industry 4.0 and AM could reshape the future of manufacturing and discusses the challenges involved.