Purpose: Advances in technology enable companies to collect and analyse data, which were previously not accessible, to either enhance existing business processes or create new ones. The purpose of this paper is to document the role and impact of Big Data Analytics (BDA), and the Internet of Things (IoT), in supporting a large logistics firm’s strategy to improve driver safety, lower operating costs, and reduce the environmental impact of their vehicles.Design/methodology/approach: A single case with embedded units intrinsic case study method was adopted for this research and data were collected from a “real-life” situation, to create new knowledge about this emerging phenomenon.Findings: Truck telematics were utilised in order to better understand, and improve, driving behaviours. Remote control centres monitor live sensor data from the company’s fleet of vehicles, capturing the likes of speed, location, braking, and engine data, to inform future training programs. A combination of truck telematics and geo-information are being used to enable proactive alerts to be sent to drivers regarding possible upcoming hazards. Camera-based technologies have been adopted to improve driver safety, and fatigue management, capturing evidence of important driving events and storing data directly to the cloud, and BDA is also being used to improve truck routing, recommend optimal fuel purchasing times/locations, and to forecast predictive and proactive maintenance schedules.Research limitations/implications: The type of data collected by Company A, and similar logistics companies, has the potential to greatly inform researchers investigating autonomous vehicles, smart cities, and the physical internet.Practical implications: Eco-driving, a practice informed/improved by BDA at Company A, has been linked to reductions in fuel consumption and CO₂emissions, which bring both economic and environmental benefits. Technologies similar to Truckcam are growing in popularity in some parts of the world, to the point where it is now common practice to use dashcam assess of accidents to establish liability. This has implications for logistics firms, in other parts of the world, where such practices might not yet be so commonplace, and for drivers and society more broadly.Social implications: Improvements in utilisation and routing have the potential to reduce traffic congestion, which is responsible for losses in productivity, increases in fuel consumption, air pollution and noise, and can incite stress, aggression, anger and unsafe behaviours in drivers. Predictive analytics, which generate refuelling and maintenance schedules, have the potential to be adopted by all vehicle manufacturers, and could generate reductions in customer fuel costs, whilst improving the performance, efficiency, and life expectancy of future motor all vehicles. The high probability of occupations in the logistics industry being replaced by computer automation in the near future is also discussed.Originality/value: The findings from this research serve as a valuable case example of a real-world deployment of BDA and IoT technologies in the logistics industry, and present implications for practitioners, researchers, and society more widely.

Hybrid work models have rapidly become the most common work arrangement for many knowledge workers, affording them with improved work–life balance and greater levels of job satisfaction, but little research has been conducted to identify the different hybrid work models that are emerging, and the appropriate supports needed to drive sustainable improvement. This paper utilises primary data from a series of semi-structured interviews with senior Australian human resource (HR) managers, to identify a range of different approaches to hybrid work design, applying the Conservation of Resources (COR) theory. Analyses of these findings have resulted in five key contributions: one being the identification of the most popular current hybrid work arrangements; the second being the key supporting pillars that are required to support successful hybrid work; the third identifies the infrastructure required to support these pillars; the fourth being a theoretic contribution that extends the existing academic literature in this field; and with the final contribution being an interpretation of the findings via COR theory. These contributions have significant implications for both scholars and human resource professionals, as organisations and academics strive to learn from the recent period of turbulence and develop sustainable improvements in performance and working conditions (SDG8), with improved support for employee health and wellbeing (SDG3), and gender equality (SDG5).

Purpose: The purpose of the article is to contribute to the body of research on digital transformation among members of the supply chain operating in an emerging economy. This paper researches the digital transformation trends happening across Vietnamese supply chains, by investigating the current adoption rates, predicted impact levels and financial investments being made in key Industry 4.0 technologies.Design/methodology/approach: By using a semi-structured online survey, the experiences of 281 supply chain professionals in Vietnam were captured. Subsequently, statistical techniques examining variances in means, regression analysis and Monte Carlo simulation were applied.Findings: The findings of this study offer a comprehensive understanding of Industry 4.0 technology in Vietnam, highlighting the prevalent technologies being prioritized. Big data analytics and the Internet of things are expected to have the most substantial impact on businesses over the next 5–10 years and have received the most financial investment. Conversely, Blockchain is perceived as having less potential for future investment. The study further identifies several technological synergies, such as combining advanced robotics, artificial intelligence and the Internet of things to build effective and flexible factories, that can lead to more comprehensive solutions. It also extends diffusion of innovation theory, encompassing investment and impact considerations.Originality/value: This study offers valuable insights into the impact and financial investment in Industry 4.0 technologies by Vietnamese supply chain firms. It provides a theoretical contribution via an extension of the diffusion of innovation theory and contributes toward a better understanding of the current Industry 4.0 landscape in developing economies. The findings have significant implications for future managerial decision-making, on the impact, viability and resourcing needs when undertaking digital transformation.

With increased participation in telework expected to continue, in the aftermath of COVID, it will be important to consider what long-term impact this practice could have on sustainability outcomes. This paper describes a scoping review and identifies connections between telework and sustainability outcomes from previous academic studies. These connections were categorised, and are discussed, based on their contributions to different United Nations Sustainable Development Goals. Most research was found to focus on countries classified as having a very high human development index status. The SWOT matrix technique was used to illustrate the strengths and weaknesses identified in the existing literature, and the threats and opportunities for future work. This aims to ensure policy coherence so that strategies to promote one outcome, such as economic productivity improvements, do not undermine another, such as improved health. Practical implications and research opportunities were identified across a range of SDG impact areas, including good health and well-being, gender equality, reduced inequality, climate mitigation, sustainable cities, and resilient communities. Overall, our impression is that increased rates of telework present an important opportunity to improve sustainability outcomes. However, it will be important that integrated and holistic policy is developed that mitigates key risks.