Michail N. Giannakos

Sociology and Political Science · 2014–2020

A researcher in the Science corpus: 9 papers; trusts 31 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Sociology and Political Science — 69 citations into it; #15,071 of 22,756 by trust here, #8,704 by citations
• Information Systems and Management — 46 citations into it; #3,763 of 3,842 by trust here, #3,171 by citations
• Strategy and Management — 44 citations into it; #5,318 of 10,874 by trust here, #4,231 by citations
• Computer Science Applications — 41 citations into it
• Organizational Behavior and Human Resource Management — 38 citations into it
• Management Information Systems — 37 citations into it; #1,887 of 3,376 by trust here, #1,058 by citations
• Management Science and Operations Research — 30 citations into it
• Developmental and Educational Psychology — 29 citations into it

Whom Michail N. Giannakos trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Barbara A. Kitchenham
2. Dragan Gasevic
3. David Budgen
4. Tore Dybå
5. Z. Papamitsiou
6. Anandhi S. Bharadwaj
7. Pearl Brereton
8. Wen-Ying Sylvia Chou
9. T. Davenport
10. Valerie Barr

Who trusts Michail N. Giannakos overall

1. Patrick Mikalef
2. Hossein Olya
3. Ward van Zoonen

Papers from Michail N. Giannakos's perspective

Ordered by how strongly the researchers Michail N. Giannakos trusts endorse each paper. Same corpus, a different order for every researcher.

1. Performing systematic literature reviews in software engineering (International Conference on Software Engineering)
2. Systematic literature reviews in software engineering - A systematic literature review (Information and Software Technology)
3. Toward a synthesis of the resource‐based and dynamic‐capability views of rent creation
4. A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation (MIS Q.)
5. DYNAMIC CAPABILITIES, WHAT ARE THEY?
6. Big data: the management revolution. (Harvard Business Review)
7. Course signals at Purdue: using learning analytics to increase student success (International Conference on Learning Analytics and Knowledge)
8. Procedures for Performing Systematic Reviews
9. Academic Analytics: A New Tool for a New Era.
10. Empirical studies of agile software development: A systematic review (Information and Software Technology)

Their papers

• Using social media for work: Losing your time or improving your work? (2014) — 323 citations
• Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions (2016) — 473 citations
• Sense and sensibility in personalized e‐commerce: How emotions rebalance the purchase intentions of persuaded customers (2017) — 116 citations
• Computational thinking education: Issues and challenges (2020) — 298 citations
• Learning Analytics for Learning Design: A Systematic Literature Review of Analytics-Driven Design to Enhance Learning (2019) — 302 citations
• Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies (2018) — 357 citations
• Introductory programming: a systematic literature review (2018) — 480 citations
• Empirical studies on the Maker Movement, a promising approach to learning: A literature review (2017) — 299 citations
• Big data analytics capabilities: a systematic literature review and research agenda (2017) — 768 citations