**1. Introduction**

3

Since the conceptualization of bounded rationality by Herbert Simon (1947), managemen<sup>t</sup> scholars started investigating how people—managers and entrepreneurs—really make decisions within (and for) organizations. Taking into considerations the effect on organizational choices (e.g., new product development, market entry, merger and/or acquisition of other entities) and related performance (in organizational, economic, and social terms), a series of trends have flourished within this pivotal research area. Nowadays, the main important are: the biasing or beneficial role of heuristics (i.e., cognitive shortcuts of human mind) (Kahneman 2003), the influence of socio-demographic characteristics and personality traits (see the derived Upper Echelons Theory; Hambrick and Mason 1984; Abatecola and Cristofaro 2020), the impact of affective states (e.g., emotions, mood, temperament), the intertwinement between cognitive and emotional factors, the co-determinant role of the (micro-, meso-, and macro-) environment in the formation of choices with person-, group-, firm-specific variables, and the biasing or beneficial impact of technologies on managers' and entrepreneurs' rationality.

The aim of the proposed Special Issue is to deeply investigate these trends in conceptual and/or empirical terms, trying to provide new insights on how managers and entrepreneurs make decisions within and for organizations. Research direction followed were: (a) The analysis of the differential role of affective states in managerial and entrepreneurial decisions (Baron 2008; Zhang and Cueto 2017), as the emotions are a driver for motivation regarding goals achievement, and impacts the nature of the decision (Cristofaro 2019); (b) differential cognitive schemas of managers and entrepreneurs (Forbes 1999; Cristofaro 2020); (c) the features of new technologies (e.g., big data analytics) that help or undermine decision-making processes (Sundberg and Larsson 2017); (d) dilemmas of organizational culture regarding the possibility of reducing the negative influences of cognitive traps (Hammond et al. 1998; Bazerman and Moore 2013); (e) heuristics conditions that are beneficial for managers and/or entrepreneurs during the organizational development processes; (f) the stronger or weaker impact of the personality of managers/entrepreneurs on decisions respect to their affective states (Armstrong et al. 2012), (g) the role of competences and experiences in the learning and decisions paths (Sousa et al. 2019; Sánchez-García et al. 2017); (g) which heuristics are beneficial for "take the plunge decisions" of entrepreneurs; (h) the differences in emotions in individual and group decisions; and (i) the impact of cognition and/or affective states of stakeholders on the one of managers and entrepreneurs (Hodgkinson and Sadler-Smith 2018).

**Citation:** Cristofaro, Matteo, Maria José Sousa, José Carlos Sanchéz-Garcia, and Aron Larsson.2021. Contextualized Behavior for Improving Managerial and Entrepreneurial Decision-Making. *Administrative Sciences* 11: 14. https://doi.org/10.3390/admsci 11010014

Academic Editor: Isabel-María Garcia-Sanchez Received: 7 February 2021 Accepted: 8 February 2021 Published: 10 February 2021

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**Copyright:** © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

### **2. Managerial and Entrepreneurial Decision Making: Emerging Issues**

The Special Issue of *Administrative Sciences* entitled "Managerial and entrepreneurial decision making: Emerging issues" received 16 submissions from March 2020 to October 2020. Among them, only 7 have been accepted to be published (acceptance rate 43%) after the one-blind peer-review process. Published manuscripts were considered having scientific soundness and originality, but, especially, leading to the advancement of managerial and entrepreneurial decision-making literature.

About the entrepreneurial decision-making process, the study of Arend (2020) entitled "Getting Nothing from Something: Unfulfilled Promises of Current Dominant Approaches to Entrepreneurial Decision-Making" makes a provokable debates on the value of two dominant models in the decision-making process in the entrepreneurial context: the creative school, and the logic of effectuation. In particular, departing from the weaknesses and failures of the of these two models, he then provides a series of alternative approaches for effectively studying the entrepreneurial decision-making. The first approach states that the origins of the resources are not identifiable; they are windfalls that occur at different stages of the process and with different possible effects. From this, the role that managers-entrepreneurs have in the identification of resources, as well as in their use, stands out. The second approach also considers heterogeneous factors as windfalls and explicitly recognizes that other companies are endowed with them as well, which should lead to progress through co-evolutionary action. This alternative provides more open roles for managers and more meaning for institutional policy purposes to support business decision-making. The third alternative they propose takes a different starting point. It is aimed at the premises of the formal theories that underlie the currently dominant approaches. Provided critiques offer the basis to identify spaces for improvement, to warn from applying prescriptions that rely on models' current weaknesses and flaws, and to outline the opportunities of three different alternative approaches in studying entrepreneurial decision-making.

As to extend the analysis of the entrepreneurial decision-making process, this was also investigated by a third party view, in particular, from the consultants' standpoint. Indeed, Nuijten et al. (2020), with their work entitled "Cognitive Biases in Critical Decisions Facing SME Entrepreneurs: An External Accountants' Perspective," examined biases in entrepreneurial decision-making from the perspective of SME accountants. To this aim, they conducted an empirical study by interviewing 14 accountants who can provide independent assessments of small medium enterprise (SME) decision-making regarding strategy, regulatory compliance, human resources, IT, and succession. Results show that the presence of a particular bias is highly dependent on decision domain as well as accountants showed four different approaches (warn, inform, intervene, and coach) when they encounter cognitive biases in entrepreneurial decision-making. In this study, therefore, the role of the context in which a decision is made emerges as pivotal because of the emergence of distinct biases. As to reduce the probability of falling in these biases, authors propose that accountants must intervene in highlighting the cognitive pitfalls to SME entrepreneurs as well as that extensive programs of feedback to combat biases should be implemented.

This conclusion is shared also by the work of Schettini et al. (2020) entitled "Enhancing Healthcare Decision-Making Process: Findings from Orthopaedic Field." In particular, they intended to analyze, through an interview-based explorative case study, whether and how cognitive biases occurring in "clinical reasoning" can affect orthopedists in decision-making regarding the follow-up after knee and hip arthroplasty. Results from the semi-structured face-to-face interviews conducted with three orthopedic surgeons attested the presence of four common biases (affect heuristic, anchoring, halo effect, saliency), and four others (groupthink, availability, overconfidence, confirmation) that come to light depending on the physicians' intrinsic working experience and/or working context (i.e., private or public hospital). From that, decision-making of physicians can be improved through the intervention of a third party that can evaluate the process according to the context in

which it is embedded. The amelioration of decision-making processes, therefore, may come through the involvement of a third party and practices of training and coaching.

Above results are also in line with the work by Goldsby et al. (2020), who proposed a conceptual paper entitled "Under Pressure: Time Management, Self-Leadership, and the Nurse Manager." The work advances a model to help mitigating time pressure on nurse managers and their frontline nurses based on the research regarding time pressure, psychosocial care, time management, and self-leadership. In particular, by the use of the metatriangulation methodology, authors propose three metaconjectures. First, it is proposed that time pressure will impede good decision-making and detract from the provision of quality psychosocial care by nurse managers. Second, research on time managemen<sup>t</sup> and self-leadership leads authors to conjecture that when practices in these two areas are successfully implemented, the negative effect of time pressure on decisions related to care can be reduced. Third, the proper application of time managemen<sup>t</sup> and self-leadership practices moderates the relationship between time pressure and psychosocial care by nurse managers. They conclude that deliberate and persistent use of time managemen<sup>t</sup> and self-leadership practices, stimulated by training and coaching, may reduce the dissatisfiers that drain time and energy on the unit and open up more opportunities to find the little fixes that add marginal time savings as well.

However, biases in decision-making processes are just an effect of inner antecedents of decision-makers (e.g., personality traits, affective states, etc.,) and, because of that, another effective strategy to prevent cognitive biases is to understand their link with these precursory factors. In this regard, the study by Cristofaro et al. (2020) entitled "The Influence of Core Self-Evaluations on Group Decision Making Processes: A Laboratory Experiment" deals with the consideration of the personal trait called Core Self-Evaluations (CSE)—thus, the evaluations that individuals make about others, the world, and themselves—in decisionmaking processes. In particular, CSE of respondents was investigated with regard to: (i) the duality intuitive vs. reflective thinking, (ii) the connection with the overconfidence bias, and (iii) decision-making performance. To this aim, 120 graduate students—divided into groups of four—took part in a simulation game and were asked to make decisions acting the role of General Manager of a small-sized manufacturing firm. Results show that an average level of CSE is preferable to balance intuitive and reflective thinking, as well as avoiding overconfidence bias and reaching the best performance possible. This work suggests that there is a huge misattribution in considering a high level of CSE as being beneficial for decision-making processes and consequent performance and, because of that, managers should be aware of the level of CSE of each individual composing groups as to reach effective results.

In parallel to the study of the contextual features and personal characteristics that can lead to advent of biases in decision-making processes, other studies have been more focused on the actions to be implemented for anticipating undesired decision outcomes. In this vein, the paper by Splichalova et al. (2020) entitled "Managerial Decision Making in Indicating a Disruption of Critical Infrastructure Element Resilience," proposed a conceptual model to preventively indicate a potential disruption of the critical infrastructure elements' resilience before the actual occurrence of the adverse event. They identify the lack of managerial tools for the purpose of providing process support to decision-making in the selection of indicators for resilience disruptions, and contributes with a discussion on the need to further address resilience disruptions in the protection of critical infrastructure. In particular, they propose a model that consists of eight interconnected steps, providing the assessor with comprehensive instructions for the indication of a possible disruption of the resilience of critical infrastructure elements. This enables the assessment of the current level of the element's resilience to disruptive events evaluated according to the available methods.

With the same rationale of Splichalova et al. (2020), the work by Brous and Janssen (2020) entitled "Trusted decision-making: Data governance for creating trust in data science decision outcomes" provided a thoughtful model to understand the role of data governance in creating trust in data science decision outcome. In particular, owing to the duality of technology lens and the adoption of two explanatory case studies in the asset managemen<sup>t</sup> domain, authors are able to depict the interactions among the organization, decisionmakers, and technology. Propositions of the model establish that organizations with an established data governance capability are more likely to: (i) have a well-functioning data science capability, (ii) to generate trusted data science outcomes, (iii) to ensure that organizational conditions of data science are met, (iv) and manage organizational and process changes introduced by data science outcomes. In synthesis, data governance here emerges as a boundary condition for managing the organizational consequences of data science outcomes.
