Assistant Professor / Associate Professor / Professor (Information Systems) (B&A)

Founded in 1989, Hong Kong Metropolitan University (HKMU) is a modern, vibrant and dynamic university. We tailor our professional programmes to adapt to market trends and meet industry needs, thus providing our students with quality professional education and clear career paths. Being the first University of Applied Sciences (UAS) in Hong Kong, we pledge to play a pioneering role in enhancing recognition of vocational and professional education and training, and nurturing talents with both applied skills and knowledge. 

As a faculty-driven, student-centred university in support of innovative teaching and learning, strategic research, and stakeholder outreach to provide maximum benefit to our communities, we conduct research that advances knowledge and enhances teaching, focusing on strategic areas, including digital humanities and literature, international business, gerontechnology, personalised care, smart city, open and innovative education, and bilingual learning and teaching.

HKMU is becoming an ever more vital link in addressing and helping Hong Kong to solve many difficult challenges – as part of our involvement in, and commitment to, the ‘metropolis’ of Hong Kong. Our plans to expand into the Greater Bay Area (GBA) will also cultivate talent to serve Hong Kong and the wider metropolitan GBA.

For more information about the University, please visit https://www.hkmu.edu.hk.

About the Lee Shau Kee School of Business & Administration
The Lee Shau Kee School of Business and Administration at HKMU is one of the largest business schools in Hong Kong, serving over 4,500 students across a comprehensive range of undergraduate, postgraduate, and doctoral programs, and is home to over 150 faculty members across 3 departments. The school is highly regarded for its professional recognition, with many programs holding accreditations or exemptions from major international accounting and business bodies. It strongly emphasizes career readiness by providing internships and global immersion opportunities, while also driving top-quality regionally relevant research through well-resourced infrastructures such as the Institute of International Business and Governance (IIBG). The School is ranked in the global top 150 for Hospitality and Leisure Management in the QS World University Subject Rankings 2026.

We are now looking for a suitable person to fill the following position in the Lee Shau Kee School of Business and Administration:
 

Major Duties and Responsibilities
The appointee will be responsible mainly for the following:

• Research Excellence: Maintaining an active, high-impact research pipeline. Assistant Professors must demonstrate strong potential to publish in top-tier journals, while Associate Professors and Professors must possess an established, internationally recognized track record of elite publications (e.g., MIS Quarterly, Information Systems Research, and other UTD 24, FT50, ABS 4* journals), as well as a proven ability to secure research funding;
• Instruction & Curriculum: Teaching core and elective Information Systems and related courses at the undergraduate, MBA, and PhD levels. Developing and delivering modern curricula around business AI applications, data analytics, and digital business transformation; and
• Institutional Leadership: (For Associate Professors and Professors) Providing mentorship to junior faculty and doctoral students, spearheading departmental initiatives, and maintaining visible engagement within the global and local professional and academic bodies.

Candidates
Candidates should possess the following qualifications, experience and competence:

• Education: A Ph.D. or equivalent doctoral degree in Information Systems, Business Analytics, Quantitative Marketing, or a closely related business discipline must be completed prior to the appointment start date;
• Assistant Professors: High potential for publishing in premier IS journals and evidence of teaching effectiveness;
• Associate Professors and Professors: A proven record of continuous top-tier publication, teaching excellence, academic leadership, and national/ international visibility;
• Highly desired expertise in AI-driven business strategy, algorithmic governance, responsible AI, or human-AI collaboration;
• Demonstrated ability to bridge technical fields (e.g., Python, machine learning models) with strategic business and management principles; and
• Experience in securing external research funding or building industry partnerships is preferred.

Terms and Conditions for Appointment
An attractive remuneration package, including basic salary, a composite cash/housing allowance, an end-of-contract gratuity, and a discretionary incentive payment, where applicable, will be offered to the right candidate. Generous annual leave, staff-development sponsorships, medical and dental benefits, and life insurance coverage will also be provided.

To Apply
Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System and upload the following documents:

• Curriculum Vitae;

• Job-market paper;

• Research statement (including publication record and pipeline); and

• At least three referee letters.

Please note that the University’s eRecruitment System allows a maximum of three (3) file attachments per application. Candidates are therefore requested to consolidate the required application materials into no more than three PDF files prior to submission.

Application & ICIS 2026 Interview Process
To be fully considered, applications must be submitted through our portal no later than 10 December 2026.
Important ICIS Note: Search committee representatives will be present at the International Conference on Information Systems (ICIS). Preliminary interviews will be conducted onsite using the AIS Career Connect platform or other means. Candidates attending ICIS who wish to schedule an interview slot are highly encouraged to submit their initial application package early.

The personal data collected will be used for the purpose of considering your application for employment.  For details, please refer to the “Personal Data (Privacy) Notice for Job Applicant” on the University’s website. If you are not contacted by the University within eight weeks from the closing date of application, you may assume that your application was unsuccessful. The University will continue to review applications until the position(s) is/are filled.