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Although government and business interest in tracking and tracing has grown enormously over the last decade, a clear and coherent overview of the topic is still lacking and is not found in (logistics) literature. This article presents a structure for development and contemporary practices of tracking and tracing. The development structure is conceptualised by three supply‐chain layers: item coding (the physical layer), information architecture (the information layer); and planning and control (the control layer). On behalf of tracking and tracing, the layers represent different levels of supply‐chain integration. The conceptualisation is derived from similar ideas found in literature on supply‐chain management. From a scientific point of view, the structure provides a coherent and systematic organisation of tracking and tracing concepts. From the viewpoint of business administration, the structure facilitates the determination of the scope of tracking and tracing application(s), which is of management value.

The purpose of this paper is to propose an effective and economical management platform to realize real-time tracking and tracing for prepackaged food supply chain based on Internet of Things (IoT) technologies, and finally ensure a benign and safe food consumption environment.

Following service-oriented architecture, a flexible layered architecture of tracking and tracing platform for prepackaged food is developed. Besides, to reduce the implementation cost while realizing fine-grained tracking and tracing, an integrated solution of using both the QR code and radio-frequency identification (RFID) tag is proposed. Furthermore, Extensible Markup Language (XML) is adopted to facilitate the information sharing among applications and stakeholders.

The validity of the platform has been evaluated through a case study. First, the proposed platform is proved highly effective on realizing prepackaged food tracking and tracing throughout its supply chain, and can benefit all the stakeholders involved. Second, the integration of the QR code and RFID technologies is proved to be economical and could well ensure the real-time data collection. Third, the XML-based method is efficient to realize information sharing during the whole process.

The contributions of this paper lie in three aspects. First, the technical architecture of IoT-based tracking and tracing platform is developed. It could realize fine-grained tracking and tracing and could be flexible to adapt in many other areas. Second, the solution of integrating the QR code and RFID technologies is proposed, which could greatly decrease the cost of adopting the platform. Third, this platform enables the information sharing among all the involved stakeholders, which will further facilitate their cooperation on guaranteeing the quality and safety of prepackaged food.

Keeping track of users' communication activities in web‐based environments has always been considered a complex task. It requires tracking systems that are capable of efficiently tracking users' activities and producing tracking data that can be useful to various users. The objectives of this paper are two‐fold: to present an approach for better observing the different levels of human and computer interactions (HCI) during a computer‐mediated communication (CMC) activity; and to present the technical aspects of a web‐based tracking system for communication tools such as discussion forums.

The research applications are applied to educational settings. Three cases of experiments with result analysis will also be presented. The paper studied different CMC tools. With the participation of researchers from different disciplines, including HCI and e‐learning specialists, we adopted the 5W1H method (When, Where, Who, What, Why, and How) and a participative method to build the approach. The result of the experiments and users' feedback allowed us to evaluate the approach.

An approach for efficiently tracking users' communication activities on CMC tools, by looking very closely at the different levels of HCI is shown. This paper demonstrates how useful it is to have tracking data with finer granularity and to provide significant data indicators to the participants in the learning process.

The data indicators shown in this paper are computed based on the real needs of the participants in the learning process. The proposed approach can be implemented with any conceptual and development languages.

One of the particularities of this research is the approach for efficiently tracking CMC activities on both client and server sides. The quality of the tracking data from the three experiments shows the effectiveness of the system. Another contribution of this paper is a discussion of the important key issues related to the tracking data in learning environments.

Studies on the coronavirus disease 2019 (COVID-19) tracing apps have mostly focused on how to optimize adoption and continuous use, but did not consider potential long-term effects of their introduction. This study aims to analyse whether the characteristics of the recent introduction of tracing apps may negatively impact individuals' attitudes and intentions to adopt future tracking technology.

In an online experiment across three countries (Australia, Germany, UK), the authors measured how perceived benefits of COVID-19 tracing apps as well as specific government and campaign-related factors affect privacy concerns, attitude towards future tracking apps and intention to adopt. The authors manipulated the type of provider (governmental vs private) and the type of beneficiaries of the future tracking technology app (the individual alone or also the public) as determinants of adoption.

The authors find that privacy concerns towards the COVID-19 tracing apps negatively impact attitude and intention to adopt future tracking apps. Future adoption is more likely if the app is provided by the government, whereas additional benefits to the public do not positively stimulate adoption. Second, the study analyzed different factors, including perceptions on governments and the app introduction, as well as perceived benefits.

Taking the introduction of COVID-19 apps in different countries as a basis, the authors link both perceived benefits and contextual factors to privacy concerns, attitudes towards and intention to adopt the related technology in the future. The authors hereby clarify the responsibility of governmental actors who conduct large-scale technology introductions for the future diffusion of related technologies.

The purpose of this paper is to examine the influence of export logistics components: shipment arrangements, timely delivery, customs quality, trade infrastructure, and tracking and tracing on export competitiveness of firms in the East African Community (EAC).

The study adopted the Structural Gravity Model and the Poisson pseudo-maximum likelihood (PPML). PPML a nonlinear estimation method was applied in STATA on a balanced panel data for the period of 2007–2018. Data were obtained from World Bank International Trade Centre (ITC), World Bank Logistics Performance Index (LPI) and World Bank development indicators.

Results show that timely delivery and tracking and tracing of exports are positive and significant predictors of export competitiveness in EAC countries. Conversely, shipment arrangements, customs quality and trade infrastructure have no influence on export competitiveness.

The results of this study show that export logistics components of shipment arrangements, customs quality and trade infrastructure do not matter at the present in improving export competitiveness in the EAC. There is a need to examine the intricate nature of the EAC economy to further this study's findings.

The EAC partner states should embrace deep integration by removing the behind the border trade barriers in addition to other trade restrictions, to create a common economic space among member states. This will further shrink the delivery time and the tracking and tracing of exports hence improving the competitiveness of EAC exports within the region and outside. Also, common and harmonized trade policies and regulations should be implemented through mutual recognition agreements where countries agree to recognize one another's conformity assessments.

This study explains the complex dynamic interactions of export logistics factors in the EAC using quantitative data and that this interaction has an effect on the export competitiveness in import-dominated countries with less harmonization in their trade policies.

The functionality and reliability of an overhauled aero-engine is determined by all configuration changes in the overhaul process. Identifying, recording, auditing, tracking and tracing of configuration modifications are significant and meaningful. Considering the barriers to these goals, this paper aims to put forward an approach to configuration management in the aero-engine overhaul process.

The overhaul configuration management model is proposed to describe an aero-engine’s configuration evolution trajectory in the overhaul process. The controlling and auditing procedures are put forward to control and audit parts’ return-to-zero statuses and overproof statuses. And some searching algorithms are also designed to enable tracking and tracing of the configuration status along the time coordinate, or get a snapshot of an aero-engine’s configuration at a certain time. The above model, procedures and algorithms have been implemented and adopted to fulfill the configuration management requirements in the aero-engine overhaul process.

The approach is effective in identifying, recording, controlling, auditing, tracking and tracing configuration changes in the overhaul process.

The approach’s implementation and adoption present a practical example for aero-engines’ configuration management issue in the overhaul process.

The work proposes an original aero-engine configuration management solution for the overhaul process and enables a reliable and accurate configuration management mode.

Describes how BMW is implementing data matrix technology to trace and track major engine components.

Describes the major production line hardware components of a new system that is being installed at the company's Hams Hall, UK engine plant that will be used in conjunction with Tecnomatix's XFactory intelligent software to provide a comprehensive database both for the purposes of production control as well as for use in service.

The basic hardware elements of the data matrix system have already been proven out at Hams Hall using RVSI's HawkEye 1510 cutting‐edge cameras and data matrix marking machines supplied by Technifor Ltd of Leamington Spa. Technifor, also supplied the 2D data matrix readers and verifiers from RVSI in Nashua, New Hampshire, USA. The XFactory software was installed in the last month of 2004.

Engineers at BMW plan to expand the technology to enable them to use it for selective machining of cylinder heads for various types of engine. Also, as component suppliers to BMW also adopt the technology, data matrix tracking will be used for a large variety of engine components for use in assembly. It also has implications during CMM inspection to quickly identify which machining operations might be faulty.

Data matrix technology offers a low‐cost approach to the tracking and tracing of complex major engine components during both machining and assembly.

BMW claims it is the first automotive engine supplier in the UK to use data matrix technology to track and trace components.

This chapter provides a historical contextualisation of health tracking and public health communication from the post-World War Two development of the welfare state, through the birth of neoliberalism, until today’s individualising practices of digital health tracking and quantification of bodies. Through an examination of these three phases of public health quantification of bodies, encompassing the socio-economic, cultural and political shifts since 1948, combined with the development and wide adoption of digital health and self-quantifying technologies, this chapter traces the changing landscape and the dramatic implications this has had for shifting who is responsible for maintaining ‘good’ health. This chapter illustrates how neoliberal free market principles have reigned over UK public health discourse for many decades, seeing health as no longer binary to illness, but as a practice of individual self-quantification and self-care. In turn, the chapter explores how the quantification and health tracking of bodies has become a dominant discourse in public health promotion, as well as individual citizenship and patient practices. This discourse still exists pervasively as we move into the digital society of the 2020s, through the Covid-19 pandemic and beyond; with public health strategies internationally promoting the use of digital health tools in our everyday, further positioning citizens as entrepreneurial subjects, adopting extensive technological measures in an attempt to measure and ‘optimise’ health, normalising the everyday quantification of bodies.

The Australian and New Zealand governments have released smartphone-based apps to complement contact tracing in the event that they face a resurgence of COVID-19 infections. The apps form part of both countries’ policies to support a return to social and economic engagement following extended lockdowns. This paper aims to investigate the extent to which the two approaches are fit for purpose and compare their functional characteristics.

Using process mapping and analysis, this paper evaluates the potential of the two apps to improve the performance of existing contact tracing systems across a range of efficiency and effectiveness criteria with an emphasis on the framework proposed by Verrall (2020).

The Bluetooth-based Australian app appears likely to assist that country’s contact tracing system to perform more efficiently and effectively in the event of a resurgence of the virus and should increase confidence in re-engagement. The New Zealand QR code-based app, however, is not well-aligned with these objectives. Its interaction with a range of other regulations and obligations, combined with the inconvenience it imposes on its users, is likely to militate against its use. Bluetooth-based apps based on interactions between individuals likely better support these population-based objectives than QR code-based location-specific apps.

This paper provides an original and extensive analysis of the functionality and effectiveness of Australia and New Zealand’s official contact-tracing apps.

The purpose of this paper is to propose a collaborative tracking and tracing (T&T) system that enables supply chain actors to join and leave the system in run-time without disrupting the function of the system.

A collaborative T&T system is introduced using a conceptual approach. Supporting empirical data are collected through a deductive case study of a Swedish automotive supply chain.

A collaborative T&T system based on composite and observer design patterns is an appropriate solution for inter-organizational T&T.

This research contributes to the body of knowledge in the field of logistics T&T. The conceptually developed collaborative T&T system needs to be validated empirically.

The collaborative T&T system developed conceptually here could be used as a model for the practical development of inter-organizational T&T systems.

The introduction of a collaborative T&T system, adopting the theories of software engineering and product data management, represents an original contribution to the field of T&T in logistics and transportation.