As consumers' trust and confidence in food have been shaken by food incidents that could be intentional (crime) or unintentional (negligence). This paper examines the issue of food integrity in a holistic approach that goes beyond food safety and food quality. The concept of farm-to-fork from supply chain management being adopted to review the extant literature concerning integrity of food supply chain. From the extensive literature review, food safety system such as HACCP is argued to be insufficient in assuring food integrity because it does not prevent deliberate contamination, while traceability and technology are recognised as important communication linkages that provide transparency and evidence on food integrity across the supply chain. This paper has developed the house of food integrity framework to provide novel insights on the food supply chain by illustrating food integrity as a multi-dimensional concept, which incorporates food defence in addition to food safety and food quality.

Personal protective equipment (PPE) has been designed in such a way to reduce accident rates. Unfortunately, existing PPE is rather ineffective as it is not able to provide warning signals when hazard is around. The integration of intelligent systems is envisaged to increase the efficiency of existing PPE. This project designed a safety vest incorporated with metal detectors which can provide immediate warning to the field workers when there is metal hazard around. This product has greater freedom of design via smart manufacturing as it involves the assembly of few commercially available parts into a single entity. Briefly, the metal detector is a do it yourself (DIY) kit, and the safety vest is purchasable from any local market. The DIY kit was connected to a copper coil and being sewed into the safety vest. The metal detector induces beeping sound when there is metal hazard around. A total of 121 engineering students were introduced to the prototype before being requested to answer a survey associated with the design. Respondents have rated >3.00/5.00 for the design simplicity, ease of usage, and light weight. Meanwhile, respondents suggested that the design should be further improved by increasing the metal detection range. It is envisaged that the introduction of this smart safety vest will allow the workers to carry out their duties securely by reducing the accident rates. Particularly, such design is expected to reduce workplace accident especially during night time at construction sites where the visibility is low.

Technology and its continuous advancement facilitate human beings to get rid of their criticality and limitation. Applied artificial intelligence (AAI) is one of the latest forms that delimited the limitation of human beings. Smartwatch acts as an applied artificial intelligence to assist various patients to check medical care without going to hospital and physicians. This (three) multiple-study research focused on the intention to use, purchase, and their satisfaction and spread positive word of mouth among others in the Ghanaian. To investigate these issues two renowned theories were underpinned- TAM theory and the Stimulus-Organism-Response (S–O-R). Total 550, 320, and 170 respondents were interviewed with Google forms due to COVID-19 using social media. AI-enabled smartwatch considering Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Perceived Credibility (PC), Perceived Self-Efficacy (PSE), and Perceived Financial Cost (PFC) were significant on intention to adoption and adoption intention on actual purchase. The final study showed device quality, its service level, their usage experience, perceived value, and the extent to which the satisfied customers made positive word of mouth to their friends and family, colleagues and followers. This research is significant in understanding the usage of AI-enabled smartwatches as a device doctor or electronic doctor (e-doctor).

This paper aims to identify the factors affecting big data analytics (BDA) adoption in the Malaysian warehousing sector. The technology-organisation-environment (TOE) model serves as the underpinning framework. The survey data from 110 logistics firms were collected and analysed using PLS-SEM. The empirical results revealed that relative advantage, technological infrastructure, absorptive capability and government support influence the levels of BDA adoption, whilst industry competition appeared to be of no significant influence. This study is expected to facilitate warehousing firms in implementing the most appropriate strategies in adopting BDA. Warehousing firms that place great emphasis on operational superiority, ICT infrastructures, and technology assimilation, are more likely to adopt BDA. Considering that there is a paucity of evidence regarding the determinants of BDA adoption among Malaysian warehousing firms, this study enriches TOE-based literature on BDA. Furthermore, the findings potentially assist logistics practitioners in developing a holistic blueprint in managing their large data sets.