Ning Nan

Associate Professor

Research Interests

blockchain governance
complex adaptive systems
digital business
evolvable information systems
Information Systems
Management
online community

Relevant Degree Programs

 
 

Research Methodology

agent based modeling
field study
Econometrics
lab experiments

Recruitment

Doctoral students
Any time / year round

Complete these steps before you reach out to a faculty member!

Check requirements
  • Familiarize yourself with program requirements. You want to learn as much as possible from the information available to you before you reach out to a faculty member. Be sure to visit the graduate degree program listing and program-specific websites.
  • Check whether the program requires you to seek commitment from a supervisor prior to submitting an application. For some programs this is an essential step while others match successful applicants with faculty members within the first year of study. This is either indicated in the program profile under "Admission Information & Requirements" - "Prepare Application" - "Supervision" or on the program website.
Focus your search
  • Identify specific faculty members who are conducting research in your specific area of interest.
  • Establish that your research interests align with the faculty member’s research interests.
    • Read up on the faculty members in the program and the research being conducted in the department.
    • Familiarize yourself with their work, read their recent publications and past theses/dissertations that they supervised. Be certain that their research is indeed what you are hoping to study.
Make a good impression
  • Compose an error-free and grammatically correct email addressed to your specifically targeted faculty member, and remember to use their correct titles.
    • Do not send non-specific, mass emails to everyone in the department hoping for a match.
    • Address the faculty members by name. Your contact should be genuine rather than generic.
  • Include a brief outline of your academic background, why you are interested in working with the faculty member, and what experience you could bring to the department. The supervision enquiry form guides you with targeted questions. Ensure to craft compelling answers to these questions.
  • Highlight your achievements and why you are a top student. Faculty members receive dozens of requests from prospective students and you may have less than 30 seconds to pique someone’s interest.
  • Demonstrate that you are familiar with their research:
    • Convey the specific ways you are a good fit for the program.
    • Convey the specific ways the program/lab/faculty member is a good fit for the research you are interested in/already conducting.
  • Be enthusiastic, but don’t overdo it.
Attend an information session

G+PS regularly provides virtual sessions that focus on admission requirements and procedures and tips how to improve your application.

 

Graduate Student Supervision

Doctoral Student Supervision

Dissertations completed in 2010 or later are listed below. Please note that there is a 6-12 month delay to add the latest dissertations.

Investigating the change processes in information systems requirements (2020)

Success of information systems (IS) projects is deeply dependent on the quality of the requirements informing their design. Specifically, if the requirements are not precisely determined, IS cannot meet the business needs of organizations. One of the most enduring challenges in managing requirements is ongoing change in requirements. Changes emerge due to various reasons. The main goal of this dissertation is to shed more light on change drivers and change processes in IS requirements. To achieve this goal, we conduct three separate but interdependent studies. The first study elicits and synthesizes various change drivers from the extant literature. By employing a design science research methodology, we propose the Socio-Technical Change Framework and Socio-Technical Requirements Change Method. These two artifacts are drawing upon models in socio-technical systems studies. The proposed framework elaborates on how various social and technical change drivers jointly develop the changes in requirements. The proposed method also provides IS analysts with a new solution to anticipate potential future changes in requirements. The second study investigates the change drivers in contemporary IS projects. We approach this study from a qualitative research methodology. The results from the interviews and surveys reveal 14 categories of change drivers. These change drivers are similar to the change drivers in the first study. However, we explore that the contemporary context includes interesting unique characteristics, which moderate the change processes in IS requirements. The third study dives more deeply into some of the findings from the second study. Specifically, we examine how two of the important change drivers — changes in the environment and changes in user expectations — and one prominent characteristic of contemporary projects — interdependency between requirements — jointly influence the final changes in requirements. To address this query, we employ an agent-based simulation model. We explore interesting insights into the impact of the interdependency between requirements and learning patterns of the population on requirements change. In sum, the findings of all three studies contribute to the extant body of knowledge in IS requirements and open interesting avenues for future research. They also have practical implications for IS analysts, project managers, business owners, and third-party vendors.

View record

Master's Student Supervision

Theses completed in 2010 or later are listed below. Please note that there is a 6-12 month delay to add the latest theses.

Could blockchain decentralize supply chains? An examination of dynamic token delivery motivation of mid-tier suppliers in blockchain-driven supply chain finance platforms (2021)

Blockchain, or distributed ledger technology (DLT), is expected to enable a highly decentralized and trusted business environment. Yet the business pursuit for profit maximization calls for a more centralized structure and thereby conflicts with the decentralized ideology of blockchain. In the blockchain-driven supply chain finance (SCF) platforms, focal buyer companies can issue “cash tokens” which are blockchain-based electronic invoices/certificates with due days of payment and pay the “cash tokens” to their direct suppliers instead of using traditional open-account techniques. Direct suppliers can hold the “cash tokens” to maturity, use the “cash tokens” as collateral for loans, or pay the “cash tokens” to the upper tier suppliers in goods transactions (we call the last option “token delivery” in the following). Because the “cash tokens” are delivered tier by tier based on transactions, mid-tier suppliers can become a “bottleneck” in the blockchain-driven SCF application. In this paper, we consider the supply chain network as a complex system where firms are self-organized and adaptive to their competitive environment. Via this theoretical lens, we investigate how the mid-tier suppliers’ token delivery and supply chain transaction structures interplay over time in the blockchain-driven SCF platforms; meanwhile, how industry characteristics such as the number of firms in each tier and firm size in each tier can influence the interactions. We propose that in the short term, blockchain technology increases mid-tier suppliers’ transaction efficiency and thus motivates mid-tier suppliers’ token delivery and promotes the decentralization of supply chain transaction structure, i.e., upper-tier suppliers make new transaction links with mid-tier suppliers and focal buyers; in the long term, the more decentralized supply chain transaction structure will in turn negatively affect mid-tier suppliers’ token delivery motivation and drive the supply chains more centralized, i.e., the upper-tier suppiers start to face financing difficulties again and some of the transaction links will diminish. Besides, supply chains with a flatter organizational structure, a larger setup cost gap between mid-tier suppliers and upper-tier suppliers, and a higher operation cost of upper-tier suppliers can remain decentralized longer. We will test our theoretical propositions by a series of simulation experiments in an agent-based model.

View record

 
 

If this is your researcher profile you can log in to the Faculty & Staff portal to update your details and provide recruitment preferences.

 
 

Read tips on applying, reference letters, statement of interest, reaching out to prospective supervisors, interviews and more in our Application Guide!