2. AGENDA
• Define specific large, medium, small
and single-person businesses
• Identify and integrate ICT trends
into different business models
• Identify benefits and risk in the
application of trends into the
business model
3. LARGE: HEALTH TECHNOLOGY ENTERPRISE
• Health technology is growing
market and various international
conglomerates are integrating
advances in ICT into improving
patient outcomes, reducing costs and
providing better access to care.
4. TREND 1: WEARABLE DEVICES
• The use of wearable technologies that
monitor patient telemetries and vitals
are on an upward trend in the current
decade. Specifically smart watches e.g
FitBit devices (Navaz et al., 2021).
• The ICT trend can track patient health
by providing real time data.
Additionally, the information from the
patient data can inform and improve
personalized care and patient
outcomes (Navaz et al., 2021).
5. TREND 2: CLOUD COMPUTING
• In the recent decade, storage capacity has
risen commensurately with the growing
computational power of devices. Therefore,
advances in remote storage capabilities
have developed cloud computing (Ali et al.,
2018).
• The ICT trend is applicable in health
technology in the form of outsourcing
computational power for health
information management systems and
secure off-site storage of patient data (Ali et
al., 2018).
8. MEDIUM: NICHE FOOD AND BEVERAGES
• Niche food and beverage businesses
can benefit ICT innovations and
trend because they serve a selected
population of customers.
Additionally, the technology
optimize business operations and
supply chain management as well as
improve customer experiences
9. TREND 1: MOBILE APPLICATIONS
• The ICT sector has seen the rapid adoption of smart
phone technologies that have allowed growth in
interactive smart mobile applications that have
streamlined service based industries and broaden
their reach (Gao & Ahn, 2022).
• Mobile applications can assist niche food and
beverage industries collect customer data on their
behavior, preferences and purchasing patterns.
Additionally, the ICT trend allows for social media
interfaces that allow the service providers to connect
with their customers and potential markets (Gao &
Ahn, 2022).
10. TREND 2: A.I. AND MACHINE LEARNING
• Artificial Intelligence (AI) and Machine
Learning (ML) are growing ICT technologies
that are transforming business environments.
Their growth has risen exponentially in the
last 2 years largely due to increased
computational capacities and refined
programming languages (Micu et al., 2021).
• The ICT trend can benefit niche food and
beverage industries in conjunction with other
data collection technologies. The AI and ML is
trained on the data to identify patterns to
create personalized offerings, optimize
inventory and streamline supply
management (Micu et al., 2021).
13. SMALL: SOCIAL MEDIA MARKETING
• Social media marketing can be used
to effectively promote products
using ICT platforms or technologies.
Specifically, they leverage on
consumer data to create personalized
experiences or products.
Additionally, they enhance customer
engagement, decision making and
efficiency.
14. TREND 1: A.I. AND MACHINE LEARNING
• Advances in Artificial Intelligence (AI) and
Machine Learning (ML) has been used in
social media marketing. For instance, Google’s
AdSense technology as used in YouTube to
advertise and promote products based on
video content (Kumar et al., 2021).
• The ICT trend can overall be used to monitor
customer data for consumer trends to
personalize marketing messages.
Additionally, in social media forums AI and
ML can be used to automate posts to optimize
marketing strategies (Kumar et al., 2021).
15. TREND 2: CHATBOTS AND MESSAGING
APPLICATIONS
• The use of chatbots have been a common
staple in social media sites, for instance
Twitter and have been used to moderate
chat forums (Tsai et al., 2021)).
• The ICT trend can be used to manage social
media markets by automating customer
service and provide real-time support to
customers. Additionally, they can be used
to deliver personalized marketing messages
and recommendations (Tsai et al., 2021)
18. SINGLE-PERSON: ONLINE
TUTORING/COACHING
• Online tutoring is a growing
education sector enabled by ICT
technologies and infrastructure.
Particularly, it improves access and
flexibility of classes, and engagement
through personalized learning.
19. TREND 1: VIDEO CONFERENCING AND
ONLINE COLLABORATION TOOLS
• The technology has been on upward trend
particularly following the onset of the
COVID-19 pandemic, the technologies that
have revolutionized this space are Zoom
and Google Teams (Knapp, 2018).
• The ICT trend can benefit single person
businesses by offering virtual classes,
webinars and personalized sessions.
Additionally, they have capabilities that
enable remote communication and
collaboration (Knapp, 2018).
20. TREND 2: LEARNING MANAGEMENT
SYSTEM (LMS)
• During and after the COVID-19 pandemic,
there was a need to safely have students
continue with studies across learning
institutions. Therefore, third party ICT
innovators developed LMS to streamline
learning among students using online ICT
infrastructure (Song, 2021).
• Single-person businesses can benefit from the
LMS platforms by providing and automating
features such as grading, course materials,
quizzes and progress tracking of individual
students (Song, 2021).
24. REFERENCES
Shrestha, A., Soar, J., & Wamba, S. F. (2018). Cloud computing-enabled healthcare opportunities, issues, and applications: A
systematic review. International Journal of Information Management, 43, 146–158.
https://doi.org/10.1016/j.ijinfomgt.2018.07.009
Gao, M., & Ahn, J. (2022). Research note: factors influencing employee use of company mobile applications in the food and
beverage industry. Journal of Foodservice Business Research, 1–9. https://doi.org/10.1080/15378020.2022.2045858
Jo, A., Coronel, B. D., Coakes, C. E., & Mainous, A. G. (2019). Is There a Benefit to Patients Using Wearable Devices Such as
Fitbit or Health Apps on Mobiles? A Systematic Review. The American Journal of Medicine, 132(12).
https://doi.org/10.1016/j.amjmed.2019.06.018
Knapp, N. F. (2018). Increasing Interaction in a Flipped Online Classroom through Video Conferencing. TechTrends, 62(6),
618–624. https://doi.org/10.1007/s11528-018-0336-z
Kumar, I., Rawat, J., Mohd, N., & Husain, S. (2021). Opportunities of Artificial Intelligence and Machine Learning in the Food
Industry. Journal of Food Quality, 2021, 1–10. https://doi.org/10.1155/2021/453556
Micu, A., Capatina, A., Micu, A.-E., Geru, M., & Lixandroiu, R. (2021). Social Media Marketing Experts’
Perceptions Regarding the Capabilities of a Future Artificial Intelligence Software. International Journal of
Machine Learning and Computing, 11(3), 230–235. https://doi.org/10.18178/ijmlc.2021.11.3.1040
Navaz, A. N., Serhani, M. A., El Kassabi, H. T., Al-Qirim, N., & Ismail, H. (2021). Trends, Technologies,
and Key Challenges in Smart and Connected Healthcare. IEEE Access, 9, 74044–74067.
https://doi.org/10.1109/access.2021.3079217
Song, G. (2021). Blended Learning and Student Satisfaction. SSRN Electronic Journal.
https://doi.org/10.2139/ssrn.3869741
Tsai, W.-H. S., Liu, Y., & Chuan, C.-H. (2021). How chatbots’ social presence communication enhances
consumer engagement: the mediating role of parasocial interaction and dialogue. Journal of Research in
Interactive Marketing, 15(3), 460–482. https://doi.org/10.1108/jrim-12-2019-0200
Editor's Notes
Navaz, A. N., Serhani, M. A., El Kassabi, H. T., Al-Qirim, N., & Ismail, H. (2021). Trends, Technologies, and Key Challenges in Smart and Connected Healthcare. IEEE Access, 9, 74044–74067. https://doi.org/10.1109/access.2021.3079217
Ali, O., Shrestha, A., Soar, J., & Wamba, S. F. (2018). Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review. International Journal of Information Management, 43, 146–158. https://doi.org/10.1016/j.ijinfomgt.2018.07.009
Gao, M., & Ahn, J. (2022). Research note: factors influencing employee use of company mobile applications in the food and beverage industry. Journal of Foodservice Business Research, 1–9. https://doi.org/10.1080/15378020.2022.2045858
Micu, A., Capatina, A., Micu, A.-E., Geru, M., & Lixandroiu, R. (2021). Social Media Marketing Experts’ Perceptions Regarding the Capabilities of a Future Artificial Intelligence Software. International Journal of Machine Learning and Computing, 11(3), 230–235. https://doi.org/10.18178/ijmlc.2021.11.3.1040
Kumar, I., Rawat, J., Mohd, N., & Husain, S. (2021). Opportunities of Artificial Intelligence and Machine Learning in the Food Industry. Journal of Food Quality, 2021, 1–10. https://doi.org/10.1155/2021/4535567
Micu, A., Capatina, ATsai, W.-H. S., Liu, Y., & Chuan, C.-H. (2021). How chatbots’ social presence communication enhances consumer engagement: the mediating role of parasocial interaction and dialogue. Journal of Research in Interactive Marketing, 15(3), 460–482. https://doi.org/10.1108/jrim-12-2019-0200
Knapp, N. F. (2018). Increasing Interaction in a Flipped Online Classroom through Video Conferencing. TechTrends, 62(6), 618–624. https://doi.org/10.1007/s11528-018-0336-z
Song, G. (2021). Blended Learning and Student Satisfaction. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3869741
