At the dated check, the references listed below either did not resolve in
Crossref or DataCite, or carried a retraction notice. Each one is shown with the
registry record that put it there.
The 103 checked references that resolve
resolves10.2307/2393054Enacting Market Crisis: The Social Construction of a Speculative Bubble
resolves10.1002/bse.2964Assessing sustainability opportunities for circular business models
resolves10.1109/EMR.2020.3016043The Impact of COVID-19 on Innovation: Old Projections or New Expectations After the Pandemic?
resolves10.1111/radm.12444The fast response of academic spinoffs to unexpected societal and economic challenges. Lessons from the COVID‐19 pandemic crisis
resolves10.1007/s11846-022-00580-2Management in times of crises: reflections on characteristics, avoiding pitfalls, and pathways out
resolves10.1007/s11365-020-00674-xInside the black box of high-growth firms in a crisis-hit economy: corporate strategy, employee human capital and R&D capabilities
resolves10.5539/ass.v9n5p18A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases
resolves10.1111/radm.12498Temporary business model innovation – SMEs’ innovation response to the Covid‐19 crisis
resolves10.1016/j.respol.2018.11.009Venture capital investment strategies under financing constraints: Evidence from the 2008 financial crisis
resolves10.1111/radm.12446Frugal innovation in a crisis: the digital fabrication maker response to COVID‐19
resolves10.1093/cje/bep023Structural causes of the global financial crisis: a critical assessment of the 'new financial architecture'
resolves10.1111/radm.12531Digital transformation, for better or worse: a critical multi‐level research agenda
resolves10.1111/radm.12454<i>R&D Management</i> at a time of crisis: what are we learning from the response to the COVID‐19 pandemic?
resolves10.1007/s11846-021-00499-0Entrepreneurial propensity for market analysis in the time of COVID-19: benefits from individual entrepreneurial orientation and opportunity confidence
resolves10.1096/fj.07-9492LSFComparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses
resolves10.1002/gsj.1442What is digital transformation? Core tensions facing established companies on the global stage
resolves10.1002/smj.3148Liminal movement by digital platform‐based sharing economy ventures: The case of Uber Technologies
resolves10.1016/j.jbvi.2020.e00186Revising entrepreneurial action in response to exogenous shocks: Considering the COVID-19 pandemic
resolves10.1111/radm.12447Innovation management in crisis: patent analytics as a response to the COVID‐19 pandemic
resolves10.1007/s11192-015-1798-9Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison
resolves10.1016/j.jbusres.2022.06.048SMEs and digital transformation during a crisis: The emergence of resilience as a second-order dynamic capability in an entrepreneurial ecosystem
resolves10.1287/orsc.9.4.506Crisis Construction and Organizational Learning: Capability Building in Catching-up at Hyundai Motor
resolves10.1108/IJEBR-04-2020-0214The economics of COVID-19: initial empirical evidence on how family firms in five European countries cope with the corona crisis
resolves10.1001/jama.2009.1307Comparisons of Citations in Web of Science, Scopus, and Google Scholar for Articles Published in General Medical Journals
resolves10.1111/jpim.12546The Digital Transformation of Search and Recombination in the Innovation Function: Tensions and an Integrative Framework*
resolves10.1016/j.jfbs.2021.100440Surviving the coronavirus pandemic and beyond: Unlocking family firms’ innovation potential across crises
resolves10.1016/j.lrp.2020.102043The ecosystem blueprint: How firms shape the design of an ecosystem according to the surrounding conditions
resolves10.1111/radm.12460Accelerated innovation through repurposing: exaptation of design and manufacturing in response to COVID‐19
resolves10.1093/icc/dtt025Financing innovation: creative destruction vs. destructive creation
resolves10.1504/IJTM.2010.035862The influences of critical incidents and lifecycle dynamics on innovation implementation constructs in SMEs: a longitudinal study
resolves10.1016/j.enpol.2017.05.046Facing the climate and digital challenge: European energy industry from boom to crisis and transformation
resolves10.1016/j.jbusres.2022.03.072Digitalization driven retail business model innovation: Evaluation of past and avenues for future research trends
resolves10.1007/s11846-018-0294-zAutomating profitably together: Is there an impact of open innovation and automation on firm turnover?
resolves10.1016/j.jbusres.2020.04.015Exploration and exploitation in crisis environment: Implications for level and variability of firm performance
resolves10.1007/s11365-023-00847-4Crisis response strategies and entrepreneurial orientation of SMEs: A configurational analysis on performance impacts
resolves10.1111/radm.12512Ecosystem effectuation: creating new value through open innovation during a pandemic
resolves10.1007/s11846-023-00668-3How to conduct systematic literature reviews in management research: a guide in 6 steps and 14 decisions
resolves10.1111/jpim.12138Stock Market Returns to Financial Innovations Before and During the Financial Crisis in the United States and Europe
resolves10.1111/radm.12471Exogenous shocks and the adaptive capacity of family firms: exploring behavioral changes and digital technologies in the COVID‐19 pandemic
resolves10.1109/EMR.2020.3033991Open Innovation Initiatives to Tackle COVID-19 Crises: Imposter Open Innovation and Openness in Data
resolves10.1287/isre.1100.0318<b>Research Commentary</b>—Digital Infrastructures: The Missing IS Research Agenda
resolves10.1111/j.1467-8551.2012.00818.xCorporate Investing as a Response to Economic Downturn: Prospect Theory, the Behavioural Agency Model and the Role of Financial Slack
The 7 references without a DOI — listed, not checked
no DOI — not checkedAletras N (2014) Interpreting document collections with topic models. Dissertation, University of Sheffield
no DOI — not checkedBagheri SK, Roshani S, Piccaluga A, Di Minin A (2022) A bird’s-eye view of the open innovation research and its evolution. R&D Management Conference, Trento
no DOI — not checkedBlei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3:993–1022
no DOI — not checkedChristensen CM, Bohmer R, Kenagy J (2000) Will disruptive innovations cure health care? Harv Bus Rev 78:102–112
no DOI — not checkedMcCallum AK (2022) Mallet: a machine learning for language toolkit. http://mallet.cs.umass.edu.
no DOI — not checkedRamage D, Rosen E, Chuang J, Manning C, McFarland DA (2009) Topic modeling for the social sciences. NIPS 2009 Workshop Appl Topic Models Text beyond 5:1–4
no DOI — not checkedRehurek R, Sojka P (2010) Software framework for topic modelling with large corpora. In: Proceedings of the LREC 2010 workshop on new challenges for NLP frameworks
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