PROJECT 2017-2020

Crowd Predictions From The Frontline: A proactive decision tool for dynamic strategic management.

The project is funded by the Danish Industry Foundation and headed by Dr. Carina Antonia Hallin and Project Leader Brian Christopher Poll.

Aims of the project:

Applying new crowd prediction methods, this project theoretically and empirically studies crowd predictions as a decision tool. This is done through firm specific designed prediction software that collects updated information from the frontline in Danish multinational corporations, enabling management to create a better basis for proactive decisions in turbulent global markets.

Collaborators:

Torben Juul Andersen is professor of Strategy and International Management and director of the Global Strategic Responsiveness initiative. He previously taught at George Mason University and Johns Hopkins University. Torben has worked as a Senior Consultant and in executive positions with Unibank A/S, Citicorp Investment Bank Ltd., and Citibank, N.A. He holds an MSc. Economics (cand. polit.) from the University of Copenhagen, an MBA from McGill University, Montreal, and a PhD from UNC at Chapel Hill, USA.

The project is funded by the Danish Industry Foundation.

The Confederation of Danish Industry develops and supports innovative, Inspirational and economically sustainable projects and initiatives that
strengthen the competitiveness of the Danish Industry.

Publications:

Xin Li; Torben Juul Andersen; Carina Antonia Hallin / A Zhong-Yong Perspective on Balancing the Top-down and Bottom-up Processes in Strategy-making In: Cross Cultural and Strategic Management, 17.6.2019

Torben Juul Andersen; Carina Antonia Hallin; Kjeld Fredens /Et netværk af hjerner: Tænk med dine medarbejdere og led med succes. København: Gyldendal 2018, 208 p.

Carina Antonia Hallin; Torben Juul Andersen; Sigbjørn Tveterås / Harnessing the Frontline Employee Sensing of Capabilities for Decision Support In: Decision Support Systems, Vol. 97, 5.2017, p. 104-112

Torben Juul Andersen; Carina Antonia Hallin / Global Strategic Responsiveness: Exploiting Frontline Information in the Adaptive Multinational Enterprise. Abingdon: Routledge 2017, 168 p. (Strategy Matters, No. 1)

Carina Antonia Hallin / Aggregating Predictions of Operational Uncertainties from the Frontline: A New Proactive Risk Management Practice. In: The Routledge Companion to Strategic Risk Management. ed. /Torben Juul Andersen. Abingdon: Routledge 2016, p. 487-500 (Routledge Companions in Business, Management and Accounting)

Torben Juul Andersen; Carina Antonia Hallin / The Adaptive Organization and Fast-slow Systems In: Oxford Research Encyclopedias: Business and Management: A Community of Experts. ed. /Ramon J. Aldag. New York: Oxford University Press 2016

PROJECT 2016-2017

A Study of Collective Intelligence Behavior and Practices by the Largest Companies in Denmark

The project was funded by the crowdsourcing company Cosmic People and headed by Assistant Professor, Carina Antonia Hallin, and Project Leader, Julian Umbhau Jensen.

Aims of the project:

To investigate the level of knowledge and application of collective intelligence and crowdsourcing methods amongst decision-makers in Denmark’s largest companies across different sectors.

Collaborators:

Flemming Binderup Gammelgaard is a PhD candidate. researcher in crowdsourcing and fundraising. He is co-founder of Danish Crowdsourcing and project manager for the platform ‘VIA Connect’. His business PhD is about share-based crowdfunding and is being done in cooperation with Finnish Investor.

Publications:

Flemming Binderup Gammelgaard; Carina Antonia Hallin/ Changing the Innovation Game: Crowdsourcing in Incumbent Firms. Paper presented at 6th Collective Intelligence, 2018.

Carina Antonia Hallin/ The State of Collective Intelligence Behavior and Practices of Danish Corporations Paper presented at Collective Intelligence Conference, 2017.

Carina Antonia Hallin; Julian J. U. Jensen / Kollektiv intelligens: Adfærd og praksis i Danmarks største virksomheder. Frederiksberg: Department of International Economics and Management, Copenhagen Business School 2017, 76 p. (Forskningsrapport CBS-INT, No. 1/2017)

PROJECT 2015-2016

Crowd Predictions in the Multinational Corporations

The case for this project is Maersk Training’s headquarter and their globally distributed subsidiaries serve as the research setting. The project was headed by Assistant Professor, Carina Antonia Hallin, and Research Assistant, Anne Sofie Lind, Collective Intelligence Unit.

Aims of the project:

To investigate how crowd predictions of identified strategic issues can increase foresight and support decision makers in the Multinational Corporation. Further, to measure prediction accuracy of identified strategic issues by employee crowds in the global subsidiaries.

Collaborators:

Sigbjørn Tveterås is a Professor in Applied Economics in the Department of Industrial Economics, Risk and Planning at the University of Stavanger, Norway. His main research field is Applied Microeconometrics. Most of his published research articles focus on applied issues related to modelling, prediction models, demand, pricing and market structures.

Publications:

Carina Antonia Hallin; Anne Sofie Lind / Strategic Issue Identification for Crowd Predictions Paper presented at The 2016 Collective Intelligence Conference, 2016

Carina Antonia Hallin; Torben Juul Andersen; Sheen S. Levine; Sigbjørn Tveterås/The Evolution of Corporate Prediction Aggregation Mechanisms: Towards Leveraging the Frontline for Strategic Issue Identification under Uncertainty. Paper presented at Collective Intelligence, 2015

Creating Better Foresights

The project was funded by Copenhagen Airports and was headed by Assistant Professor, Carina Antonia Hallin and Research Assistant, Christian Blem Charity, Collective Intelligence Unit.

Aims of the project:

To collect prediction data to test and validate underlying crowd predictions theory by using existing theoretical models and methods to aggregate predictions and linking them to corporate performance.