Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 91 checked references that resolve
resolves10.1007/s12525-019-00340-3Towards customer-induced service orchestration - requirements for the next step of customer orientation
resolves10.1177/1350508419855714Algorithmic decision-making? The user interface and its role for human involvement in decisions supported by artificial intelligence
resolves10.1007/s10479-017-2549-5A systematic review of humanitarian operations, humanitarian logistics and humanitarian supply chain performance literature 2005 to 2016
resolves10.1080/09537287.2020.1740815Digitalization’s impacts on productivity: a model-based approach and evaluation in Germany’s building construction industry
resolves10.1080/09537287.2019.1631458Business intelligence and analytics value creation in Industry 4.0: a multiple case study in manufacturing medium enterprises
resolves10.1177/1536504219865226Demystifying AI: What Digital Transformation Leaders Can Teach You about Realistic Artificial Intelligence
resolves10.1111/deci.12131Introduction to Innovation WITHIN and ACROSS Borders: A Review and Future Directions
resolves10.1016/j.ijpe.2014.12.037Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research
resolves10.2307/249008Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
resolves10.1080/00207543.2020.1722860Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting
resolves10.1007/s10479-017-2452-0Understanding risk management for intentional supply chain disruptions: risk detection, risk mitigation, and risk recovery
resolves10.1016/j.ijinfomgt.2019.08.002Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
resolves10.1108/tqm-12-2019-0303Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation
resolves10.1016/j.techfore.2018.09.009Polarization and acculturation in US Election 2016 outcomes – Can twitter analytics predict changes in voting preferences
resolves10.1016/j.ijinfomgt.2019.01.009Impact of corporate social responsibility on reputation—Insights from tweets on sustainable development goals by CEOs
resolves10.1177/0008125619864925A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence
resolves10.1111/poms.12046Clickstream Data and Inventory Management: Model and Empirical Analysis
resolves10.1016/j.ijinfomgt.2019.02.005Blockchain research, practice and policy: Applications, benefits, limitations, emerging research themes and research agenda
resolves10.1016/j.dss.2013.12.001A decision support system for public logistics information service management and optimization
resolves10.1111/deci.12352Behavioral Contract Design Under Asymmetric Forecast Information
resolves10.1016/j.jocs.2014.11.002A hybrid group decision support system for supplier selection using analytic hierarchy process, fuzzy set theory and neural network
resolves10.1016/j.jom.2006.11.001Operations management in the information economy: Information products, processes, and chains
resolves10.1007/s12525-019-00351-0Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media
resolves10.1177/0008125619862256Keeping Humans in the Loop: Pooling Knowledge through Artificial Swarm Intelligence to Improve Business Decision Making
resolves10.1111/ecin.12412FIRMS' EXPECTATIONS ABOUT THE IMPACT OF AI AND ROBOTICS: EVIDENCE FROM A SURVEY
resolves10.1007/s10479-019-03246-7Decentralized beneficiary behavior in humanitarian supply chains: models, performance bounds, and coordination mechanisms
resolves10.1109/CSCS.2013.722012 Presidential Elections on Twitter -- An Analysis of How the US and French Election were Reflected in Tweets
resolves10.1016/j.dss.2015.05.004Building and evaluating ESET: A tool for assessing the support given by an enterprise system to supply chain management
resolves10.1007/s10479-017-2574-4“You have to get wet to learn how to swim” applied to bridging the gap between research into personnel scheduling and its implementation in practice
resolves10.1007/s10479-018-2993-xReliable maximin–maxisum locations for maximum service availability on tree networks vulnerable to disruptions
resolves10.1016/j.dss.2017.03.007A machine learning approach to product review disambiguation based on function, form and behavior classification
resolves10.2308/acch-52455Applying Deep Learning to Audit Procedures: An Illustrative Framework
resolves10.2307/249443Personal Computing: Toward a Conceptual Model of Utilization1
resolves10.1016/j.ijpe.2014.12.031How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study
resolves10.1007/s10479-017-2545-9Social media adoption and use for improved emergency services operations: the case of the NSW SES
resolves10.1016/j.dss.2019.02.002Incorporating reference products into modeling consumer choice decision: A mixtures-of-experts model
resolves10.1016/j.lrp.2018.12.001Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal
The 6 references without a DOI — listed, not checked
no DOI — not checkedChakraborty, A., & Kar, A. K. (2017). Swarm intelligence: A review of algorithms. In S. Patnaik, X. S. Yang, & K. Nakamatsu (Eds.), Nature-inspired computing and optimization. Modeling and optimization in science and technologies (Vol. 10). Cham: Springer.
no DOI — not checkedGunasekaran, A., & Ngai, E. W. (2012). The future of operations management: an outlook and analysis. International Journal of Production Economics, 135(2), 687–701.
no DOI — not checkedHart, C. (1998). Doing a literature review: Releasing the social science research imagination. Thousand Oaks, CA: Sage.
no DOI — not checkedKrippendorff, K. (2004). Content analysis: An introduction to its methodology. Beverly Hills, CA: Sage.
no DOI — not checkedVickranth, V., Bommareddy, S. S. R., & Premalatha, V. (2019). Application of lean techniques, enterprise resource planning and artificial intelligence in construction project management. International Journal of Recent Technology and Engineering, 7(6C2), 147–153.
no DOI — not checkedWebster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS quarterly, xiii–xxiii.
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