This Research is an inspirational case study, addressing Nova Scotia’s challenged Tourism Industry, by investigating in an unprecedented tourism development in Cape Breton: The Cabot Links in Inverness Nova Scotia. Discovering the process in detail may inform and inspire, but also prevent similar projects from future delays such as those that beset one of the now recognized top links golf courses in the world. The study will be performed through review of literature and media reports, conducted interviews with key constituents and follow government documentation.
There is a perceived talent supply and demand gap in Nova Scotia’s ICT and digital tech sector and recruitment is at top of mind for employers. Hiring new employees can be time consuming and costly, however a well-planned onboarding program can increase the proficiency of a new hire and increase retention rates. The objective of the proposed research is to (1) examine best practices for employee onboarding and (2) investigate current practices within the tech sector. To answer these questions, we will conduct a literature review and deploy an industry-wide survey.
3337962 Nova Scotia Limited (www.outsparkai.com) is a startup dedicated to help businesses scale, particularly with marketing intelligence. The continuing rapid growth in digital media adoption has resulted in a tremendous increase in collaboration based marketing. Influencer marketing, for instance, was predicted to more than double from $5.5bn in 2019 to $15bn in 2022. However, despite this growth in marketing collaborations, the subject hasn’t been deeply studied in academic literature.
The aim of this 2-year project is to do research to inform the development of, and fully test and develop a mobile application designed to improve the experience of (particularly at-risk) post-secondary (PSE) students in addressing COVID-19-related issues. Our key concern is that COVID-19 has not only disrupted important and significant developmental experiences that improve student experience and success, but it has also caused challenges in students’ lives away from university that will spill over into their experience of being post-secondary students.
Many well-constructed, validated survey instruments in the field of industrial/organizational psychology are lengthy and complex to score and interpret. This is a significant issue as the intent of developing survey instruments is for their translation into industry practice. Short form survey instruments are becoming an increasingly common alternative for collecting data (Fisher, Matthews, & Gibbons, 2015). The objective of this research project is to create efficient survey instruments and methodologies.
As the COVID-19 pandemic complete eradication will at least take 2-3 years, putting the country under complete lockdown is an impractical solution. Hence, Computing and Data Analytics research group at Saint Mary’s University (SMU-CDA) proposes a collaboration with Agyle Intelligence to develop a complete framework using Data Analytics and Machine Learning that can help citizen, civic authorities and local business to make a decision regarding its community movement.
This research has two main foci: (1) resilience and resilience intervention and (2) workplace dignity. The first main focus of this project is to evaluate Air Institute’s current evidence-informed Pathway to Resilience program, specifically their effectiveness in impacting the key resilience factors targeted in each workshop. This research will also examine data in order to identify certain resiliency factor correlations and/or profiles in order to provide more value to current organizational reports and key insights.
Internet of things (IoT) includes of multitude of sensors from a wide variety of applications. These sensors produce high volume and high velocity data. Recently there has been much interest in application of such technologies to improve agricultural practices. The sensors that are installed in the field transmit real time data regarding numerous environmental variables of interest. This data is then used to forecast a future state and to make a well informed business/operation decision according to an expected future state.
Internet of things (IoT) includes of multitude of sensors from a wide variety of applications. These sensors produce high volume and high velocity data. Recently there has been much interest in application of such technologies to improve energy management and agricultural practices. The sensors that are installed in the field transmit real time data regarding numerous environmental variables of interest. This data is then used to forecast a future state and to make a well informed business/operation decision according to an expected future state.