HONG KONG, April 13, 2026 /PRNewswire/ -- To enhance the business acumen and practical experience of students from Hong Kong and Greater Bay Area (GBA) tertiary institutions, the Hong Kong Institute of Business Studies (HKIBS) at Lingnan University organised the third Business Case Competition (LUBCC) 2026. The Final Presentation Day and Award Presentation Ceremony were successfully held yesterday (12 April). This year's competition expanded for the first time to include five GBA universities: Shenzhen University, Jinan University, Foshan University, Guangdong University of Finance and Economics, and Guangdong University of Technology. The first-prize teams were Lingnan University and Foshan University.
A total of 445 students from 98 teams registered for this year's competition. This represents a significant 22.5 per cent increase in the number of participants compared with the previous year. The competition featured real-world business cases provided by various government departments and corporations, including the Hong Kong Police Force and MTR Corporation Limited, for participants to analyse collectively and devise optimal business strategies.
Prof Shi Shanshan, Associate Dean (TP Studies) of the Faculty of Business at Lingnan University, delivered a welcome address, noting that the inclusion of several GBA universities this year helped foster academic and cultural exchanges across institutions. She said "The number of participants this year reached a record high, reflecting the growing student demand for practical platforms that simulate the workplace. Participants are required to tackle real-world problems faced by different enterprises, gaining insights into diverse cultural and business contexts. They flexibly apply the theoretical knowledge learned in the classroom to solve business challenges with innovative solutions. Through cross-institutional competitions like this, the Faculty of Business aims to strengthen students' cross-border market mindset, enhance their analytical and problem-solving skills, and nurture future leaders capable of addressing global business challenges."
The business cases for this year's competition were provided by government departments and corporations, spanning areas such as public services, transportation, property management, and healthcare. These included the Hong Kong Police Force, Integrated Property Management Platform of China Resources Longdation Company Limited, MTR Corporation Limited, and New Town Medical Group (listed in no particular order). A total of 20 teams from the Undergraduate Division, Taught Postgraduate Division, and GBA universities advanced to the final round. Each team was required to conduct an in-depth analysis of the real-life business challenge provided by the supporting organisations and their strategic recommendations tailored to address the issues identified. Outstanding proposals may be considered as reference strategies by the respective organisations. The final judging panel, comprising industry experts and academics, engaged with the teams through insightful questions and feedback.
The Hong Kong Police Force invited students to propose a targeted, multi-channel mission-based marketing and education campaign to solve low public awareness and sustained engagement across demographics for the HKPF Super App. Integrated Property Management Platform of China Resources Longdation Company Limited requested students to formulate new strategies to solve client confusion by clearly unifying the CRLIPM Platform's brand and relationship structure across its three companies, and to enhance public engagement through its WeChat official account while making CRLIPM content trend on social media. The case topic for MTR Corporation Limited was developing a strategy and implementation plan to reduce fare evasion on MTR Light Rail. New Town Medical Group required students to provide a marketing and outreach strategy to raise public awareness of the CDCC scheme, attract eligible participants to pair with NTMG doctors, and retain enrolled participants for follow-up doctor, nurse clinic, and optometrist services—while promoting the role of nurse clinics in the co-care model. These real-world cases spanned diverse fields such as public services, property management, transportation, and healthcare, testing the students' cross-industry business analysis capabilities and innovative thinking.
The event concluded with the much-anticipated Award Presentation Ceremony. Prizes were awarded to the top-performing teams in various categories, recognizing their exceptional analyses and innovative strategies.
For the full list of awardees, please refer to the table below:
| Award | Team Name | Students Name | Case |
| First Prize-1 | B-LU-1 | Huang Guanzhe Yu Yunwen Zhong Zhiheng Lyu Yichen | MTR Corporation Limited |
| First Prize-2 | C-GBA-1 | Liu Danyi Shu Zhitong Jiang Yonglin Li Zhiyan | The Hong Kong Police Force |
| Second Prize-1 | A-LU-4 | Wang Xiaowen W Chenying Chen Yue Huang Zixuan Xue Lidan | China Resources Longdation Company Limited |
| Second Prize-2 | A-LU-9 | Jiang Di Wang Gan AYIZIBA Awuti Liu Jie Zhang Xiaoxuan | China Resources Longdation Company Limited |
| Second Prize-3 | C-LU-5 | Li Kun Zhang Xiaoyu Gao Jiaying Chen Tongfei Wu Jieyu | Hong Kong Police Force |
| Second Prize-4 | A-LU-8 | Su Siqi Yang Jingyao Xu Lu Cui Zhuo Xin | China Resources Longdation Company Limited |
| Third Prize-1 | C-GBA-7 | Zhou Renhong Feng Yuhan Xiao Kailin Wang Zhe Yuan Yujie | The Hong Kong Police Force |
| Third Prize-2 | D-GBA-8 | Zhang Zhuoer Xu Xinyi Jiang Ao Liao Zihan Jiang Xinyue | New Town Medical Group |
| Third Prize-3 | D-LU-4 | Fan Ke Er Ji Yi Xu Yi Fan He Yu Jie | New Town Medical Group |
| Third Prize-4 | B-GBA-8 | Li Yiping Wu Liuchenchen Stefanie Marie Yin Zhuo Wang Yuefei Qiu Jiayi | MTR Corporation Limited |
| Third Prize-5 | C-GBA-3 | Liang Qian Liu Huiwen Liu Qian Tan Renqi Cai Anlin | The Hong Kong Police Force |
| Third Prize-6 | A-LU-2 | Zhao Jingyan Liu Xinyi Yang Siya Zhou Xingyu Lu Yuhan | China Resources Longdation Company Limited |
| Best Presenter Award-1 | A-LU-2 | Lu Yuhan | China Resources Longdation Company Limited |
| Best Presenter Award-2 | B-LU-1 | Huang Guanzhe | MTR Corporation Limited |
| Most Popular Video Award (First Prize) | B-LU-8 | Zhou Yifan Yang Yuhan Sun Yan Wu Fangdi He Yuchen | MTR Corporation Limited |
| Most Popular Video Award (Second Prize)-1 | B-GBA-8 | Li Yiping Wu Liuchenchen Stefanie Marie Yin Zhuo Wang Yuefei Qiu Jiayi | MTR Corporation Limited |
| Most Popular Video Award (Second Prize)-2 | C-LU-2 | Zhang Jianing Li Shujie Wang Ziheng Wei Yi Li Yuyi | The Hong Kong Police Force |
| Most Popular Video Award (Third Prize)-1 | B-LU-1 | Huang Guanzhe Yu Yunwen Zhong Zhiheng Lyu Yichen | MTR Corporation Limited |
| Most Popular Video Award (Third Prize)-2 | D-LU-3 | Huang Chen Xi Guo Ming Qi Wang Jing Rui Yu Zhen Yu | New Town Medical Group |
| Most Popular Video Award (Third Prize)-3 | A-LU-2 | Zhao Jingyan Liu Xinyi Yang Siya Zhou Xingyu Lu Yuhan | China Resources Longdation Company Limited |
| Merit Award-1 | C-LU-2 | Zhang Jianing Li Shujie Wang Ziheng Wei Yi Li Yuyi | The Hong Kong Police Force |
| Merit Award-2 | B-GBA-2 | Yang Ziyang Li Xinyao Ma Yuan Lin Jiayu | MTR Corporation Limited |
| Merit Award-3 | A-LU-7 | Chen Jiawang Luo Yaxi Lin Qiuyi Yu Jiangnan Li Zihao | China Resources Longdation Company Limited |
| Merit Award-4 | D-LU-9 | Chen Junyi Zhou Yixuan Liang Lexi KANEDA Rippei He Ziyue | New Town Medical Group |
| Merit Award-5 | B-LU-8 | Zhou Yifan Yang Yuhan Sun Yan Wu Fangdi He Yuchen | MTR Corporation Limited |
| Merit Award-6 | D-GBA-2 | Hu Zhihao Qiu Liqing Wang Zhisheng Huang Jiaming Hong Kunpeng | New Town Medical Group |
| Merit Award-7 | B-GBA-1 | Lin Jiamei Ye Rui Deng Huinan Dang Hanmei | MTR Corporation Limited |
| Merit Award-8 | D-LU-3 | Huang Chen Xi Guo Ming Qi Wang Jing Rui Yu Zhen Yu | New Town Medical Group |
Award
Team Name
Students Name
Case
First Prize-1
B-LU-1
Huang Guanzhe
Yu Yunwen
Zhong Zhiheng
Lyu Yichen
MTR Corporation Limited
First Prize-2
C-GBA-1
Liu Danyi
Shu Zhitong
Jiang Yonglin
Li Zhiyan
The Hong Kong Police Force
Second Prize-1
A-LU-4
Wang Xiaowen
W Chenying
Chen Yue
Huang Zixuan
Xue Lidan
China Resources Longdation Company Limited
Second Prize-2
A-LU-9
Jiang Di
Wang Gan
AYIZIBA Awuti
Liu Jie
Zhang Xiaoxuan
China Resources Longdation Company Limited
Second Prize-3
C-LU-5
Li Kun
Zhang Xiaoyu
Gao Jiaying
Chen Tongfei
Wu Jieyu
Hong Kong Police Force
Second Prize-4
A-LU-8
Su Siqi
Yang Jingyao
Xu Lu
Cui Zhuo Xin
China Resources Longdation Company Limited
Third Prize-1
C-GBA-7
Zhou Renhong
Feng Yuhan
Xiao Kailin
Wang Zhe
Yuan Yujie
The Hong Kong Police Force
Third Prize-2
D-GBA-8
Zhang Zhuoer
Xu Xinyi
Jiang Ao
Liao Zihan
Jiang Xinyue
New Town Medical Group
Third Prize-3
D-LU-4
Fan Ke Er
Ji Yi
Xu Yi Fan
He Yu Jie
New Town Medical Group
Third Prize-4
B-GBA-8
Li Yiping
Wu Liuchenchen
Stefanie Marie Yin Zhuo
Wang Yuefei
Qiu Jiayi
MTR Corporation Limited
Third Prize-5
C-GBA-3
Liang Qian
Liu Huiwen
Liu Qian
Tan Renqi
Cai Anlin
The Hong Kong Police Force
Third Prize-6
A-LU-2
Zhao Jingyan
Liu Xinyi
Yang Siya
Zhou Xingyu
Lu Yuhan
China Resources Longdation Company Limited
Best Presenter Award-1
A-LU-2
Lu Yuhan
China Resources Longdation Company Limited
Best Presenter Award-2
B-LU-1
Huang Guanzhe
MTR Corporation Limited
Most Popular Video Award (First Prize)
B-LU-8
Zhou Yifan
Yang Yuhan
Sun Yan
Wu Fangdi
He Yuchen
MTR Corporation Limited
Most Popular Video Award (Second Prize)-1
B-GBA-8
Li Yiping
Wu Liuchenchen
Stefanie Marie Yin Zhuo
Wang Yuefei
Qiu Jiayi
MTR Corporation Limited
Most Popular Video Award (Second Prize)-2
C-LU-2
Zhang Jianing
Li Shujie
Wang Ziheng
Wei Yi
Li Yuyi
The Hong Kong Police Force
Most Popular Video Award (Third Prize)-1
B-LU-1
Huang Guanzhe
Yu Yunwen
Zhong Zhiheng
Lyu Yichen
MTR Corporation Limited
Most Popular Video Award (Third Prize)-2
D-LU-3
Huang Chen Xi
Guo Ming Qi
Wang Jing Rui
Yu Zhen Yu
New Town Medical Group
Most Popular Video Award (Third Prize)-3
A-LU-2
Zhao Jingyan
Liu Xinyi
Yang Siya
Zhou Xingyu
Lu Yuhan
China Resources Longdation Company Limited
Merit Award-1
C-LU-2
Zhang Jianing
Li Shujie
Wang Ziheng
Wei Yi
Li Yuyi
The Hong Kong Police Force
Merit Award-2
B-GBA-2
Yang Ziyang
Li Xinyao
Ma Yuan
Lin Jiayu
MTR Corporation Limited
Merit Award-3
A-LU-7
Chen Jiawang
Luo Yaxi
Lin Qiuyi
Yu Jiangnan
Li Zihao
China Resources Longdation Company Limited
Merit Award-4
D-LU-9
Chen Junyi
Zhou Yixuan
Liang Lexi
KANEDA Rippei
He Ziyue
New Town Medical Group
Merit Award-5
B-LU-8
Zhou Yifan
Yang Yuhan
Sun Yan
Wu Fangdi
He Yuchen
MTR Corporation Limited
Merit Award-6
D-GBA-2
Hu Zhihao
Qiu Liqing
Wang Zhisheng
Huang Jiaming
Hong Kunpeng
New Town Medical Group
Merit Award-7
B-GBA-1
Lin Jiamei
Ye Rui
Deng Huinan
Dang Hanmei
MTR Corporation Limited
Merit Award-8
D-LU-3
Huang Chen Xi
Guo Ming Qi
Wang Jing Rui
Yu Zhen Yu
New Town Medical Group
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
Lingnan University expands Business Case Competition to Greater Bay Area with record participation
"Forging Forward Together" — Strategy combines on-demand staffing, AI-powered workforce technology, humanoid robots, Robotics-as-a-Service and smart facility management across hospitality, healthcare, logistics, retail and property operations
SINGAPORE, Sept. 22, 2026 /PRNewswire/ -- YYForce Inc. (NASDAQ: YFOR) ("YYForce" or the "Company"), an AI-enabled workforce management platform and integrated facility management (IFM) provider operating across Asia and beyond, today announced its YYForce 2030 Vision, a long-term strategy to build an integrated workforce ecosystem connecting human workers, artificial intelligence ("AI"), humanoid robots and specialized service robotics.
Guided by its motto, "Forging Forward Together," YYForce envisions a future in which people and intelligent machines work alongside one another — combining human judgment, adaptability and service capabilities with the efficiency, scalability and automation potential of AI and robotics.
Under the strategy, YYForce intends to evolve from primarily providing workforce and facility services toward becoming a Future Workforce Solutions Provider, using technology to coordinate human and robotic resources across labor-intensive industries.
The Company's vision brings together three core capabilities: on-demand human staffing through YY Circle and Yolara AI; humanoid and specialized service robotics offered through leasing and Robotics-as-a-Service ("RaaS") models; and smart facility management through 24iFM, IoT devices, sensors, smart cameras and automation technologies.
YYForce believes these capabilities could ultimately enable hotels, healthcare facilities, warehouses, logistics operators, retailers, property owners and other service operators to access and manage human workers and robotic resources through an increasingly integrated technology ecosystem.
Human + AI + Robotics: The YYForce Future Workforce
YYForce believes the next generation of workforce solutions will move beyond traditional manpower deployment.
Instead, businesses will increasingly determine whether each operational task should be performed by a human worker, assisted by AI, supported by robotics, or completed through an automated system.
YYForce's 2030 strategy is designed around coordinating these resources within a unified operating ecosystem.
The Company refers to this model as Future Workforce Solutions.
Rather than seeking to replace people, YYForce intends to use AI and robotics to augment human capabilities, particularly in environments involving repetitive, physically demanding, standardized or continuously monitored tasks.
Human workers can therefore remain focused on activities requiring judgment, communication, problem-solving, adaptability and customer interaction.
This philosophy is reflected in YYForce's motto:
Forging Forward Together — Humans. AI. Robotics.
Layer One: On-Demand Human Workforce
YYForce's existing workforce technology provides the human workforce foundation for its 2030 strategy.
Through YY Circle and Yolara AI, the Company is developing technology designed to connect businesses with flexible and on-demand workforce resources while improving workforce matching, deployment and management.
This capability is intended to support industries characterized by fluctuating workforce requirements, distributed operations and significant frontline labor needs, including hospitality and hotels, healthcare and hospitals, warehousing and logistics, retail, commercial and residential properties, facility management and other service-intensive industries.
The long-term objective is to enable businesses to access workforce capacity more dynamically according to operational demand.
Layer Two: Humanoid Robots and Robotics-as-a-Service
YYForce intends to progressively explore the integration of humanoid robots and specialized service robotics into its workforce ecosystem.
Potential robotic applications could include cleaning, internal delivery, material movement, inspection, monitoring, logistics support and other repetitive or standardized operational activities.
Rather than requiring customers to purchase robotic equipment outright, YYForce's strategy includes evaluating leasing and Robotics-as-a-Service models.
Under this approach, service operators could potentially deploy robotics according to operational requirements while YYForce and its ecosystem partners provide deployment, integration and related services.
This model could create recurring revenue opportunities for YYForce while lowering the initial capital requirements for customers seeking to adopt automation.
Layer Three: 24iFM — Connecting People, Robotics and Physical Facilities
YYForce's integrated facility management strategy represents the third component of the ecosystem.
Through 24iFM, combined with IoT devices, sensors, smart cameras, robotics and automation technologies, YYForce aims to create an increasingly connected environment where property owners and facility operators can manage physical assets, service requests and operational resources through centralized systems.
The Company envisions a future where a facility operations team can oversee multiple ground activities from a centralized control room.
Data generated by connected buildings could help operations teams identify requirements in real time. Depending on the task, the system could then facilitate the deployment of an available human worker, specialized robot, humanoid robot or automated workflow.
For example, sensors could identify a facility requirement; 24iFM could surface the event to the operations team; the appropriate human or robotic resource could be assigned; and task completion could subsequently be monitored through the same operating environment.
This represents YYForce's longer-term transition from conventional facility management toward technology-enabled, data-driven facility orchestration.
One Ecosystem Across Multiple Industries
The YYForce 2030 Vision is designed to be applicable across multiple service-intensive industries.
In a hotel, human hospitality personnel could work alongside cleaning, delivery and service robots.
In a hospital or healthcare facility, human personnel could be supported by robots performing appropriate logistics, transportation or facility-related tasks.
In a warehouse, flexible human workers could operate alongside autonomous and robotic material-handling systems.
In retail, frontline employees could be supported by robotics and automated operational systems.
Across commercial and residential properties, facility operators could use 24iFM to coordinate people, equipment, service requests, IoT devices and robotic resources from a centralized operating environment.
From Workforce Provider to Workforce Orchestrator
The YYForce 2030 Vision represents a longer-term evolution of the Company's business model:
Human Workforce
YY Circle + Yolara AI
Artificial Intelligence
Workforce matching + operational intelligence + automation
Robotic Workforce
Humanoid robots + specialized service robotics + Robotics-as-a-Service
Smart Facilities
24iFM + IoT + sensors + smart cameras + automation
Together, these components are intended to create a connected ecosystem capable of coordinating people, machines and physical environments.
"The workforce of 2030 will not simply be human or robotic. We believe it will be human, AI and robotics working together," said Mike Fu, Chief Executive Officer of YYForce. "Our vision is for YYForce to become the technology and operating layer that connects these resources and enables businesses to deploy the right resource for the right task at the right time."
"Forging Forward Together represents what we believe the future of work should look like — people and technology advancing together. Our goal is not simply to introduce more automation, but to create an ecosystem where human talent, AI and robotics complement one another to deliver better operational outcomes."
Building Toward 2030
YYForce expects to pursue its 2030 strategy progressively through a combination of technology development, commercial partnerships, robotics collaborations, pilot programs and potential strategic investments.
The Company intends to evaluate opportunities based on customer requirements, technological maturity, economics and commercial scalability.
YYForce believes its existing presence across workforce solutions and integrated facility management provides a foundation from which the Company can progressively connect human workforce deployment, AI, robotics and smart facility infrastructure.
The long-term objective is to build an ecosystem where customers do not simply procure manpower, software or robots independently.
Instead, they can access a Future Workforce Solution designed around the operational outcome they need.
Investor Presentation
Additional information regarding the YYForce 2030 Vision, including the Company's strategic roadmap and operating framework, is available in the YYForce 2030 Investor Strategy Presentation on the Company's Investor Relations website at Investor Strategy Deck.
YYForce 2030
Human + AI + Robotics. One Workforce Ecosystem.
Forging Forward Together.
About YYForce Inc.
YYForce Inc. (Nasdaq: YFOR) is an AI-enabled workforce management platform and IFM provider, headquartered in Singapore and operating across Asia and beyond. The Company's intelligent workforce solutions platform, YY Circle, helps clients across hospitality, food and beverage, retail, and other service sectors predict, plan, and optimize workforce deployment. In YYForce's IFM business, its 24IFM software platform and comprehensive IFM subsidiary portfolio support clients across hospitality, transportation, banking, retail, and mixed-use facilities.
As both business lines scale, the Company is systematically embedding AI and automation capabilities – progressing from intelligent decision support toward increasingly autonomous workforce management – to improve service quality, reduce deployment costs, and drive long-term margin expansion. Listed on the Nasdaq Capital Market, YYForce is committed to infrastructure innovation, measurable client outcomes, and long-term value creation.
Forward-Looking Statements
This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. The Company bases these forward-looking statements on its expectations and projections about future events, which the Company derives from the information currently available to it. You can identify forward-looking statements by those that are not historical in nature, particularly those that use terminology such as "may," "should," "expects," "anticipates," "contemplates," "estimates," "believes," "plans," "projected," "predicts," "potential," or "hopes" or the negative of these or similar terms. Forward-looking statements involve inherent risks and uncertainties, and the forward-looking events discussed in this press release may not occur, and actual events and results may differ materially and are subject to risks, uncertainties, and assumptions about the Company and a number of factors. These factors include, but are not limited to, the Company's goals and strategies; the Company's future business development, financial condition and results of operations, including the introduction of new products and services, expected changes in the Company's revenues, costs and expenditures, anticipated customer growth, and demand for and market acceptance of the Company's products and services; and industry, market and regulatory conditions, including competition, government policies and regulations affecting the Company's industry, and other factors that may affect the Company's financial condition, liquidity and results of operations. For a more detailed discussion of risk factors, please refer to the Company's filings with the Securities and Exchange Commission, including the "Risk Factors" section of the Company's most recent annual report on Form 20-F, as amended.
Investor Contact
Jason Zhi Yong Phua, Chief Financial Officer
YYForce Inc.
enquiries@yyforce.ai
Investor Relations Contact
Piacente Financial Communications
yfor@thepiacentegroup.com
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YYForce Unveils 2030 Vision to Build an Integrated Human, AI and Robotics Workforce Ecosystem
