Skip to content
Search

Dr. Takao Maruyama,
Assistant Professor

Information about Dr. Takao Maruyama at the University of Bradford.

School of Management
(Faculty of Mgmt, Law & Social Sciences)
Email:
t.maruyama2@bradford.ac.uk
Telephone:
+44 1274 233109
Photo of Dr. Takao Maruyama

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

Research projects

Research projects involving Dr. Takao Maruyama.
Role Date Title/description Funder Award
Academic Supervisor/Co-Investigator 2022-07-01T00:00:00 Academic Supervisor/Co-Investigator

Teaching

Details on teaching interests, highlights and modules are available for Dr. Takao Maruyama as follows:

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.

Teaching modules

Information about programme modules taught by Dr. Takao Maruyama.
Title Subject Module code Year
Big Data Analytics for Business

Professional activities

Information about education, employment and areas of particular interest for Dr. Takao Maruyama is as follows:

Employment

  • University of Bradford - Research Analyst in the year 2015 (specified as 01/09/2015)
  • University of Bradford - HE Data Analyst in the year 2011 (specified as 02/01/2011)
  • UKRC (Bradford College) - Social Statistics Analyst in the year 2006 (specified as 02/10/2006)
  • University of Leeds - Research Assistant in the year 2005 (specified as 28/02/2005)
  • School of Management, University of Bradford - Lecturer in Business Analytics in the year 2019 (specified as 02/09/2019)

Education

  • University of Bradford - MSc
  • University of Bradford - PhD
  • University of East Anglia - PGDip
  • Soka University - BA

Publications

There are 5 publications involving or that are attributed to Dr. Takao Maruyama.

Peer Reviewed Journal

Dr. Takao Maruyama has 5 publication(s) listed under peer reviewed journal.
Title Year Publication name Journal Volume Pages Authors Editors ISSN Publisher DOI Location
A multivariate analysis of work-life balance outcomes from a large-scale telework programme 2009 NEW TECHNOLOGY WORK AND EMPLOYMENT 24 Maruyama, Takao; Hopkinson, Peter G.; James, P.
From anxiety to assurance: Concerns and outcomes of telework 2012 Personnel Review 41 450 - 469 Maruyama T.;Tietze S. 0048-3486 10.1108/00483481211229375
Evaluating Digital Public Services: a contingency value approach within three ‘exemplar’ sub-Sahara developing countries 2019 Information Technology and People 32 Tassabehji, Rana; Hackney, R.; Maruyama, Takao
Evaluating digital public services: A contingency value approach within three exemplar developing countries 2019 Information Technology and People 32 Tassabehji R.;Hackney R.;Maruyama T. 0959-3845 10.1108/ITP-08-2017-0260
Influencing subjective well-being for business and sustainable development using big data and predictive regression analysis 2021 Journal of Business Research 131 Weerakkody V.;Sivarajah U.;Mahroof K.;Maruyama T.;Lu S. 0148-2963 10.1016/j.jbusres.2020.07.038