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researcher

Dr Takao Maruyama

Assistant Professor

Faculty/Dept/School School of Management
(Faculty of Management, Law and Social Sciences)
Emailt.maruyama2@bradford.ac.uk
Telephone +441274 233109

Biography

Dr Takao Maruyama joined the School of Management in 2019 and is currently Assistant Professor in Business Analytics.  He is also Programme Leader for MSc in Logistics, Data Analytics and Supply Chain Management (https://www.bradford.ac.uk/courses/pg/logistics-data-analytics-supply-chain-management/). 

Prior to joining the School of Management, Takao had gained more than 10 years of industry experience in data analytics in the higher education sector, analysing various types of quantitative data and communicating effectively key findings with senior management teams.  

Takao has worked on research areas including information systems, logistics and supply chain management, using data analytics.  Lately, he has been working on research projects on social inclusion of minorities specifically older workers and their well-being/ job satisfaction.  Takao has published papers in journals such as the Journal of Business Research, Information Technology and People, and New Technology Work and Employment. 

Research

  • Quantitative Social Sciences
  • Information systems
  • Healthcare
  • Data analytics (statistical analyses, machine learning models, sentiment analysis)
  • Circular Economy

  • Supply Chain Management

Date Role Title / Description Funder Award
01-JUL-22 - Academic Supervisor/Co-InvestigatorKTP: Embedding Ethical Data-Driven Business Culture Through AI-Based Innovation Strategy within a UK Social Housing Provider
179000

Teaching

Teaching interests

I currently teach the following modules:

  • OIM7502-B Business Data Analytics

  • OIM6014-B Applied Business Analytics and Simulation
  • OIM5015-B Big Data Analytics for Business
On those modules, I also deliver workshops, teaching students data analytics tools such as R, Python, SAS and Tableau. 

Teaching highlights

I always incorporate current/ my own research and invite front line professionals as guest speakers.  I also conduct in-lecture quizzes which allow students to test their understanding of new concepts/knowledge they learn during lectures.  I have taught varying class sizes, ranging from 20 to 300 on UG, PGT and PhD/DBA programmes. 

Year Module code Title Subject
OIM5015-BBig Data Analytics for Business

Professional activities

  • 01-JAN-06: University of Bradford - PhD
  • 01-JAN-00: University of Bradford - MSc
  • 01-JAN-99: University of East Anglia - PGDip
  • 01-JAN-98: Soka University - BA

  • 02-SEP-19: School of Management, University of Bradford - Lecturer in Business Analytics
  • 01-SEP-15: University of Bradford - Research Analyst
  • 02-JAN-11: University of Bradford - HE Data Analyst
  • 02-OCT-06: UKRC (Bradford College) - Social Statistics Analyst
  • 28-FEB-05: University of Leeds - Research Assistant

  • 01-JAN-18: Analytics Labs for HE

  • Programme Leader for MSc in Logistics, Data Analytics and Supply Chain Management

  • English
  • Japanese

  • Board member, Transport, Distribution & Logistic (TDL) Board/ Bradford City Council, UK, Bradford:

Publications

TitleInfluencing subjective well-being for business and sustainable development using big data and predictive regression analysis (2021)
AuthorsWeerakkody V.;Sivarajah U.;Mahroof K.;Maruyama T.;Lu S.
JournalJournal of Business Research
DOI10.1016/j.jbusres.2020.07.038
 
TitleEvaluating digital public services: A contingency value approach within three exemplar developing countries (2019)
AuthorsTassabehji R.;Hackney R.;Maruyama T.
JournalInformation Technology and People
DOI10.1108/ITP-08-2017-0260
 
TitleEvaluating Digital Public Services: a contingency value approach within three ‘exemplar’ sub-Sahara developing countries (2019)
AuthorsTassabehji, Rana; Hackney, R.; Maruyama, Takao
JournalInformation Technology and People
 
TitleFrom anxiety to assurance: Concerns and outcomes of telework (2012)
AuthorsMaruyama T.;Tietze S.
JournalPersonnel Review
DOI10.1108/00483481211229375
 
TitleA multivariate analysis of work-life balance outcomes from a large-scale telework programme (2009)
AuthorsMaruyama, Takao; Hopkinson, Peter G.; James, P.
JournalNEW TECHNOLOGY WORK AND EMPLOYMENT