A Comparative Study Examining Academic Cohorts with Transnational Migratory Intentions Towards Canada and Australia

Hopkins, John L.

doi:10.1111/hequ.12091

Cited by 3 publications

(3 citation statements)

References 35 publications

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“…Most academic articles in this field focus on attempting to define the term, describing its key characteristics, and making predictions about the level of impact it will have in certain sectors in the future (Bughin et al , 2010; Manyika et al , 2011; Mayer-Schönberger and Cukier, 2013; Murdoch and Detsky, 2013; Rozados and Tjahjono, 2014; Waller and Fawcett, 2013). There are a small but growing number of publications that do include industry use cases (Zikopoulos and Eaton, 2011), in the health industry (Bates et al , 2014), education (Hopkins, 2016; Sin and Muthu, 2015a, b), public sector (Kim et al , 2014), mining (Holdaway, 2014), and sport (Sellitto and Hawking, 2015), but to date that there is still a lack of case examples for the application of BDA initiatives in the logistics industry. The researchers believe that this makes it a valid area of investigation.…”

Section: Literature Reviewmentioning

confidence: 99%

Big Data Analytics and IoT in logistics: a case study

Hawking¹

2018

IJLM

Self Cite

156

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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 CO2 emissions, 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.

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Section: Literature Reviewmentioning

confidence: 99%

Big Data Analytics and IoT in logistics: a case study

Hawking¹

2018

IJLM

Self Cite

156

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“…But in operational terms, most academic papers in this field focus on describing the term and its key factors as well as making predictions about the level of impact it will have in certain sectors in the future [45][46][47]. There are a limited but growing number of publications concentrated on industrial cases, education, sports, public sector, mining and logistic [48][49][50][51][52]. However, there is still a lack of case studies of big data analysis in IoT supply chain management especially in FMCG industries.…”

Section: Big Datamentioning

confidence: 99%

Untitled

2021

Bus. Inform.

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The mission of the journal is to develop business informatics as a new field within both information technologies and management. It provides dissemination of latest technical and methodological developments, promotes new competences and provides a framework for discussion in the field of application of modern IT solutions in business, management and economics.The journal publishes papers in the areas of, but not limited to: modeling of social and economic systems, digital transformation of business, innovation management, information systems and technologies in business, data analysis and business intelligence systems, mathematical methods and algorithms of business informatics, business processes modeling and analysis, decision support in management.The journal is included into the list of peer reviewed scientific editions established by the Supreme Certification Commission of the Russian Federation.The journal is included into Web of Science Emerging Sources Citation Index (WoS ESCI), Russian Science Citation Index on the Web of Science platform (RSCI), EBSCO.

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“…The fieldwork was conducted in New South Wales and Victoria in Australia and in Ontario and Quebec in Canada. The four sites chosen are not only popular destinations for points-based skilled migration, but also for the highest regional/provincial nomination visas and employment sponsorship visas (ABS, 2019;Statista, 2019;Hopkins, 2016). While this is not a comparative study of skilled migration processes between Australia and Canada, adopting a multi-sited approach allowed explorations of diverse experiences in a global skilled migration context.…”

Section: National Case Studiesmentioning

confidence: 99%

‘Mapping Migrancies’: A discursive mapping approach to analyse lived experiences of skilled migration infrastructures

Khan¹

2021

Preprint

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The recent ‘infrastructural turn’ in migration studies has provided valuable insights into the emergence and functions of different aspects of migration infrastructure such as the commercial migration industry, social networks, and technological innovations (Xiang and Lindquist 2014). The focus of current scholarship, however, has been on how these infrastructures mobilise migrants, predominantly across irregular migration pathways. There remains a gap in exploring infrastructures of formal migration, and their entanglements with migrants’ own subjectivities. This paper reports on a research project that explores this gap by arguing for a new research agenda on migration infrastructure. The study uses a ‘discursive mapping’ approach involving in-depth interviews and mind-maps sketched by 27 research participants based in Australia and Canada as they narrated their migration experience. This paper draws upon the experiences of three migrants to illuminate how their journeys are intertwined with and shaped by migration infrastructures - particularly media and regulatory processes. By (re)centring the infrastructural focus on migrants’ own agencies, desires, and life-courses, this study presents nuanced understandings of the lived experience of skilled migration infrastructures.

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A Comparative Study Examining Academic Cohorts with Transnational Migratory Intentions Towards Canada and Australia

Cited by 3 publications

References 35 publications

Big Data Analytics and IoT in logistics: a case study

Big Data Analytics and IoT in logistics: a case study

Untitled

‘Mapping Migrancies’: A discursive mapping approach to analyse lived experiences of skilled migration infrastructures

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