With a PhD in Innovation Management and Policy from the University of Manchester and an MSc from the University of Hertfordshire in Electronic Medical Systems, Angel joined the Manchester Metropolitan University Business School and Law in August 2000.
My research interests include the economics of digital business models and smart platform strategies, and data analytics applied to business and innovation. My expertise includes the extension and application of quantitative and data science methods to business and innovation. More specifically, the modelling of firm performance and innovation networks using indirect effects meta-analysis. Other areas of expertise include game-theoretic analysis and machine learning applied to business, operations and marketing. More recently, my research interest includes integrating text-mining and clustering methods with graph database modelling applied to the study of innovation networks.
Why do I teach?
Because “to teach is to learn twice over.”~ Joseph Joubert
Words of wisdom
“The art of teaching is the art of assisting discovery. ~ Mark van Doren
How I’ll teach you
I will not spoon feed you, as “spoon feeding in the long run teaches us nothing but the shape of the spoon” (E. M. Forster).
Instead, I will assist you in your journey to progressively build your analytical and creative skills, so you are yourself able to scope and solve complex business problems.
Other academic service (administration and management)
MODB Post Graduate Dissertation Leader. 2012-current Member, RCUK's New Economic Models in the Digital Economy Network. 2013-current Chair, Technology Ventures Series 2010-2013 Editor, Handbook of Information Technology in Organizations and Electronic Markets, with Dr. Steve Sawyer (Penn State University). 2007 Editorial Board, International Journal of Information Technology & Management. Since 2003 Committee Member of the Teaching Committee of the American Academy of Management 2003-2009 Director of Studies, AstraZeneca Corporate Doctoral Studentship. 2005-2008
Teaching & Research Supervision
Why study Predictive data analysis applied to business operations, innovation and marketing?
With the advent of the Internet and digital technologies, marketing and operations as disciplines have been undergoing a huge transformation during the last two decades. For instance, social media and search optimisation analytics have already become common practices for digital marketing professionals.
A new wave of innovations are emerging thanks to artificial intelligence and real-time big data analytics.
These disruptive technologies are facilitating the complete redesign of manufacturing and retail supply chains and the personalisation of customer experiences.
In collaboration with MODB colleagues and MMU’s Centre for the Excellence in Teaching and Learning, and in partnership with leading retail companies, I have developed a new curriculum in the area of customer relationship management anchoredbon predictive data analytics.
Initially aimed at two large student cohorts from marketing management and business technology at undergraduate level, this unique interdisciplinary approach enables these two cohorts devise data-driven customer engagement campaigns, while developing the following skills:
- agile collaborative problem-solving and teamwork,
- effective communication, and
- creative and analytical thinking.
See CRM skills infographics at http://bit.ly/2iQ6T8V
Postgraduate supervision (completed/in progress)
I am the postgraduate dissertation leader for the M.Sc. Business Analytics, Logistics and Supply Chain Management, and Project Management Programs.
In liaison with program leaders, this role involves scouting opportunities for consultancy-based dissertation research with UK businesses, besides ensuring supervision processes meet the required educational standards and University regulations.
Research Expertise, Publications & Grants
My research interests include digital business models including platform strategies, innovation analytics, and applied game-theoretic analysis. My preferred research methods are machine learning methods, meta-analysis and case studies.
I have experience integrating theoretical and applied knowledge from statistics, economics, and management and marketing sciences. Together with Professor Mike Allen, University of Wisconsin, I developed a ground-breaking quantitative methodology to test complex configurations of direct and indirect relationships between independent and mediating variables. This methodology is being applied in separate but related studies context of innovation networks, information technology capabilities and innovation analytics. A concrete outcome from this collaboration is an article recently published in ‘Computers in Human Behavior’ - see publications. This study links innovation and firm performance, mediated by collaboration networks and alliances; see journal URL http://bit.ly/2cjozlS
More recently, my expertise includes the extension and application of data science methods, including new big-data analytics and machine learning programming. This includes integrating text-mining and clustering methods with graph database modelling, applied to competitive and innovation analysis.
With Professors Mike Allen (Wisconsin), Diane Coyle (Manchester), and Dr Martin Kunc (Warwick), I am currently scoping an inter-disciplinary research program and a series of research workshops in partnership with Cisco Systems UK, Enterprise Europe Network, The Hartree Centre part of the SFTC Daresbury Laboratory, and The Digital Catapults. The aim of this program is to enhance innovation analytics, supply chain management and market intelligence capabilities of SMEs in digital ecosystems.
More specifically, the research project will map inter-disciplinary 'knowledge spillovers' crossing Internet-of-Things domain areas. Also, it will map the network of individuals in the patents to provide a more dynamic picture of collaborations. This project will provide relevant insights on the way inter-disciplinary knowledge is produced and shared. The network of collaborating firms and individuals will provide concrete information that can be of practical use to IoT innovators in the UK.
The collaboration includes opportunities for blue sky and applied research, including consultancy-based M.Sc. dissertation research topics, as well as opportunities for curriculum development at undergraduate and postgraduate levels.
Books (authored/edited/special issues)
A. Salazar (2010). A Contemporary History of Innovation.
AJ. Salazar, S. Sawyer (2007). Handbook of information technology in organizations and electronic markets. World Scientific.
A. Salazar, JM. Hurtado Gonzalez, G. Duysters, A. Sabidussi, M. Allen (2016). The value for innovation of inter-firm networks and forming alliances: A meta-analytic model of indirect effects. Computers in Human Behavior. 64, pp.285-298.
A. Salazar, JM. Hurtado Gonzalez, G. Duysters, A. Sabidussi, M. Allen (2016). Corrigendum to "The value for innovation of inter-firm networks and forming alliances: A meta-analytic model of indirect effects" [Computers in Human Behavior volume 64 (2016) 285-298]. Computers in Human Behavior. 64, pp.285-298.
ÁJ. Salazar, E. Peláez (2012). The organic growth of dynamic capabilities for innovation within resource constrained environments. International Journal of Technology Management & Sustainable Development. 10(3), pp.231-250.
C. Cartman, A. Salazar (2011). The Influence of Organisational Size, Internal IT Capabilities, and Competitive and Vendor Pressures on ERP Adoption in SMEs. IJEIS. 7, pp.68-92.
AJ. Salazar (2007). Mapping the complexity of knowledge management thought in technology management: A critical review of information systems studies. Management Research. 5(3), pp.185-197.
R. Hackney, J. Burn, A. Salazar (2004). Strategies for value creation in electronic markets: Towards a framework for managing evolutionary change. Journal of Strategic Information Systems. 13(2), pp.91-103.
A. Salazar, I. Miles (2003). The impact assessment of telematics applications in healthcare in Europe. International Journal of Healthcare Technology and Management. 5(3-5), pp.359-379.
Chapters in books
A. Salazar (2012). Innovation Processes. In: Sage Encyclopedia of New Venture Management. Newcastle Upon Tyne, UK: Sage,
A. Salazar (2012). Competition. In: SAGE Encyclopedia of New Venture Management. Sage,
A. Salazar (2007). Introduction. In: Handbook of Information Technology in Organizations and Electronic Markets. World Scientifc, pp.1-12.
A. Salazar, S. Sawyer (2007). Information technology-enabled innovation: A critical overview and research agenda. In: Handbook of Information Technology in Organizations and Electronic Markets. World Scientific, pp.415-443.
A. Salazar Regional Innovation Trajectories. Manchester Innovation Research Institute, Manchester, United Kingdom, 1/6/2017.
A. Salazar Platform Economics. Manchester Innovation Research Institute, Manchester, United Kingdom, 1/5/2015.
A. Salazar, M. Van Alstyne Platform Economics. Manchester Science Park, Manchester, United Kingdom, 1/5/2015.
A. Salazar Knowledge Exchange Activities in the Digital Health Innovation Space. London, United Kingdom, 19/4/2012.
A. Salazar, M. Cusumano Orchestrating Digital Platform. 1/5/2011.
Working with Dr Martin Kunc (Warwick) on positioning paper for the special edition on 'Business Analytics: Defining the field and identifying a research agenda', European Journal of Operations Research, submission date: January 31, 2018.
Other papers in progress:
Salazar, A., Allen, M. (Wisconsin) and Adams, R. (Surrey), Information Technology and Firm Performance: A Meta-Analytic Model with Direct and Indirect Effects, to be submitted to Information & Management (ABS 3*).
Working on positioning paper for the special edition on 'Business Analytics: Defining the field and identifying a research agenda', European Journal of Operations Research, submission date: January 31, 2018. (ABS 4)
Invited roundtable discussions
Platform Economics, Seminar Series, Manchester Innovation Research Institute, May 2015
Regional Innovation Trajectories, Seminar Series, Manchester Innovation Research Institute, Summer 2017
Chair of the Technology Ventures series. The series was a knowledge exchange forum that brought together over 200 business executives and senior academics to discuss new approaches for new strategic management of technology ventures. Sponsors have included ARM PLC recently bought by Softbank from Japan, AstraZeneca, Manchester Science Park, Knowledge Transfer Network, Manchester Investment Development Agency Services, and the North West’ Biotechnology Association, amongst others.
Platform Economics Seminar with Professor Marshall Van Alstyne (University of Boston), satellite event to Business Rock Technology and Investment Festival, Manchester Science Park, May 2015
Expert reviewer for journals and publishers
Reviewer for ESPRC' Digital Economy Programme, evaluating a £1 million research project proposal on open innovation.
External PhD examiner, University of Manchester
Refereed research grant awarded by EPSRC’s New Economic Models in the Digital Economy (NEMODE) Programme to conduct a theoretical review and synthesis on platform economics. URL: http://bit.ly/2der7D8
Digital Catapult Research in Residence application (decision pending) to work on a literature review and model testing for the analysis of Internet-of-Things patents and R&D networks The aim is to enhance innovation, supply chain management and market intelligence capabilities of SMEs in digital ecosystems. The concrete research objectives are:
1. To map inter-disciplinary 'knowledge spillovers' crossing Internet-of-Things domain areas.
2. To map the network of individuals in the patents to provide a more dynamic picture of collaborations.
More specifically, regarding objective one above, the project will focus on patents that bring together knowledge from two or more domains such as 'bio' and 'electronics', 'digital' and 'health', 'financial' and 'technology', for patented inventions connected to Internet-of-Things. This will provide relevant insights on the way inter-disciplinary knowledge is produced and shared. Regarding objective two above, the network of collaborating firms and individuals will provide concrete information that can be of practical use to IoT innovators in the UK.
Engagement & Knowledge Exchange
Projects and initiatives
Business Models and Innovation Network Analytics
Currently scoping an inter-disciplinary research program in partnership with Cisco Systems UK and the Digital Catapults. The aim of this program is to enhance innovation, supply chain management and market intelligence capabilities of SMEs in digital ecosystems. The collaboration includes opportunities for blue sky and applied research, including consultancy-based M.Sc. dissertation research topics, as well as opportunities for curriculum development at undergraduate and postgraduate levels.
The above collaboration has started with a consultancy-based Master dissertation sponsored by Cisco UK, supervising Master students from our Business Analytics, Logistics and Project Management programs, investigating research topics within the scope of the wider project below.
Project aim and expected outcome: Cities are key to a massive transition in meeting the demand from expanding global population and limited access to water, electricity, healthcare and education. Today many leading cities have projected their master plans, which mostly have included technology as key part of a holistic and service-oriented approach to revitalising their cities. However, creating smart cities require much more than just installing new technologies. Launching smart city initiatives would need a clear and comprehensive roadmap with realistic project plans, milestones, metrics and funding considerations. The purpose of this consultancy dissertation project is to study the roadmap of Cityverve project plan – an IoT city demonstrator project that won the support from the UK government and Innovate UK, over the next 18 months. In order to understand the key characteristics and identify best practices for the UK’s flagship IoT smart city project, this dissertation would benefit from an in-depth case study on full spectrum of the Cityverve proposition.
A new wave of innovations are emerging thanks to artificial intelligence and real-time big data analytics. These disruptive technologies are facilitating the complete redesign of manufacturing and retail supply chains and the personalisation of customer experiences. In collaboration with MMU’s Centre for the Excellence in Teaching and Learning, and in partnership with leading technology and food retail companies such as Microsoft and Just-Eat respectively, Ian Mitchell and I have developed a new curriculum and applied research agenda in the area of customer relationship management enhanced with predictive data analytics. This unique interdisciplinary approach enables these two cohorts devise data-driven customer engagement campaigns. This initiative is progressing into other research opportunities for our students, including consultancy-based Master dissertations jointly supervised with MODB colleagues and sponsored by Metafused, a predictive analytics/AI company.
Consultancy and advisory roles
Past-member of the industry advisory panel for digital health of the UK Knowledge Transfer Network, and the Manchester Connected Health Ecosystem and Data Science Network.
Impact and influence on policy
With Professor Ian Miles, report commissioned by The European Commission: “Assessment of the Telematics Applications Programme TAP-ASSESS”. The project involved coordinated several European project partner institutions designing, administering and analysing a semi-structured survey to over 1000 technology firms/consortiums, and overseen over hundred face-to-face interviews across Europe. Project budget 900,000 Euros. Abridge version published as journal article.
With Professor Luke Georghiou, report commissioned by ESRC, EPSRC, BBSRC and MRC: “Links to the Science Base of the Information Technology and Biotechnology Industries”. (project component leader for Biotech)
With Professor Luke Georghiou, report commissioned by ESRC and EPSRC. “Assessment of Interdisciplinary Research Centres in the UK”.
Media appearances or involvement
Platform strategy satellite event linked to Business Rocks Technology and Investment Festival, with University of Boston's Professor Marshall Van Alstyne, held at the Manchester Science Park.
Awards, Honours & Distinctions
Editorial board membership
Editor of the Handbook of Information Technology in Organisations and Electronic Markets, covering strategic, economic and organisational aspects of managing IT, and published by World Scientific Co./Imperial College Press.
Member of the editorial board of the International Journal of Information Technology & Management published by Inderscience, and previously International Journal of Information Technology for Development until 2009, published by Wiley.
Past committee member of the Teaching Committee of the American Academy of Management.
Membership of professional associations
Past member of the Masters degree accreditation committee of the British Computer Society.