Assistant Professor / Associate Professor / Professor (Information Systems) (B&A) (Ref: 260027D)

Hong Kong Metropolitan University • Full Time • Ho Man Tin, Hong Kong, HK • 1d ago

Research Excellence: Maintaining an active, high-impact research pipeline
Instruction & Curriculum
Institutional Leadership

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:

Assistant Professor / Associate Professor / Professor (Information Systems) (B&A) (Ref: 260027D)

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:

https://hkmu.taleo.net/careersection/ex_full_time/jobapply.ftl?lang=en&job=260027D

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.

Closing date of application: 10 December 2026

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.

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