Entrepreneurship and resource-based view: emerging issues, new trends and innovative decision support tools
Closely connected to the embryonic idea of a physical environment interwoven with a network of devices and systems, sensors and actuators, has been the advent of “big data” and “artificial intelligence”, which shift the focus from quantity to the quality of the information collected and the manner in which it is used (Marr, 2015; Chan & Daim, 2017). Within this context, new tools to leverage entrepreneurial activities and support decision-making emerge, highlining the need for a different perspective on firm resources and capabilities. The Resource-based View (RBV) (Barney, 1991) is a managerial framework used to determine the strategic resources and capabilities firms can exploit to achieve sustainable competitive advantages, thus supporting internal and external strategies. In this context, Problem Structuring Methods (PSM) and Multiple Criteria Decision Making/Analysis (MCDM/A) have attracted increasing attention over the past 20 years and may have a lot to contribute. This is reflected in a increasing growth in the number of published applications which use a formal approach to problem structuring in combination with an analytic method for multi-criteria analysis (Marttunnen et al., 2017).
PSM include a broad group of general approaches aiming at structuring complex decision making problems. PSM have usually a participative and interactive character and may refer to problem situations for which classical decision making approaches have limited applicability (Rosenhead, 1996; Belton & Stewart, 2002; Mingers & Rosenhead 2004). Such situations are usually met in entrepreneurial ecosystems studies, where problem factors, constraints, and objective function are not established and agreed in advance. In parallel, MCDM/A has evolved as a major area in operations research and management science (OR/MS) aiming at developing and implementing systematic approaches to decision problems that require the consideration of multiple criteria, objectives, goals, and points of view (Keeney, 1992; Doumpos & Grigoroudis, 2013). MCDM/A can be used to provide a systemic approach in order to consider stakeholders’ preferences and support their decisions. The implementation of MCDM/A approaches can take into account the conflicting nature of criteria or stakeholder’s preferences when studying entrepreneurial ecosystems. Applied alone or combined with other approaches, PSM and MCDM/A methods constitute valuable tools for structuring and evaluating complex decision situations, and can allow for more informed, transparent and consistent decisions (Carayannis et al., 2016, 2018a and 2018b)
Because MCDM/A approaches have grown exponentially over the past few decades, causing a change in the decision-making arena in general, the objective of this special issue is to bring together recent developments and methodological contributions within the context of entrepreneurship and RBV, as these themes pertain to innovation, management decision and strategic management.
List of topic areas
We are interested in topics such as:
- Advances in decision-making methods for entrepreneurship and RBV
- Collaborative decision making for entrepreneurial ecosystem development
- Decision support and strategic planning for entrepreneurship development
- Information aggregation and use for resource-based management
- MCDM/A applications for entrepreneurship and RBV
- MCDM/A applications for policy making in entrepreneurial ecosystems
- Mental models and group cognitive mapping for entrepreneurship development
- Performance measurement system design and development
- PSM for entrepreneurial ecosystem development
- Soft systems for RBV and change management
- Systems thinking and business dynamics for entrepreneurship development
- Value-focused thinking for innovation and entrepreneurship
Elias G. Carayannis
George Washington University, USA
Fernando A. F. Ferreira
University Institute of Lisbon, Portugal and University of Memphis, USA
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Opening date for manuscript submissions: 01 September 2023
Closing date for manuscripts submission: 31 December 2023
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