The Match Between Structural Attributes and Content-Based Orientation of Managerial Cognition: An Exploratory fsQCA Study of ‘Hidden Champions’

2021 ◽  
pp. 1-29
Author(s):  
Linan Lei ◽  
Yanan Fu ◽  
Xiaobo Wu ◽  
Jian Du

ABSTRACT Strategic decision makers interpret information and translate it into organizational action through the lens of strategic schemas. How should firms realize high performance with various strategic schemas? Cognitive content and structure have been shown to underlie strategic schemas, but few studies have considered them together. This study employs aggregation analysis to clarify the interaction between cognitive content (technology orientation, market orientation) and structure (complexity, centrality) in affecting the firm performance (FP) of ‘hidden champion’ companies, identified by the Economy and Information Technology Department of Zhejiang Province, China. The empirical method applies fuzzy-set qualitative comparative analysis to generate strategic schema profiles for high FP. This exploratory study fills a gap in the literature on managerial cognition and provides key lessons from ‘hidden champion’ companies in China and their paths for small- and medium-sized enterprises to grow.

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3891
Author(s):  
Piotr Kordel ◽  
Radosław Wolniak

This article’s aim is to explain the impact of technology entrepreneurship phenomenon on waste management enterprise performance in the conditions of COVID-19 pandemic. The concept of technology entrepreneurship according to the configuration approach and the category of high-performance organization are the theoretical bases of empirical investigation. For the implementation of empirical research, Fuzzy set Qualitative Comparative Analysis (FsQCA) was adopted. The research sample included a group of producers of Refused Derived Fuel (RDF) as a central part of the waste to energy industry located in Poland. The research results showed that the waste to energy sector is highly immune to pandemic threats. While during COVID-19, the basic economic parameters (i.e., sales, profitability and employment) of the entire industry in Poland clearly decreased, the same parameters in the case of the waste to energy industry remained at the same level. The research results allow the formulation of two high-performance models of technology entrepreneurship in the waste to energy industry under COVID-19 conditions. The first model is based on traditional technologies and hierarchical organizational structures, and the second is using innovative technologies and flexible structures. Both technology entrepreneurship models are determined by their emergence as complementary to implementation strategies and the opportunity-oriented allocation of resources within business model portfolios.


2017 ◽  
Vol 112 (2) ◽  
pp. 302-321 ◽  
Author(s):  
LIOR SHEFFER ◽  
PETER JOHN LOEWEN ◽  
STUART SOROKA ◽  
STEFAAN WALGRAVE ◽  
TAMIR SHEAFER

A considerable body of work in political science is built upon the assumption that politicians are more purposive, strategic decision makers than the citizens who elect them. At the same time, other work suggests that the personality profiles of office seekers and the environment they operate in systematically amplifies certain choice anomalies. These contrasting perspectives persist absent direct evidence on the reasoning characteristics of representatives. We address this gap by administering experimental decision tasks to incumbents in Belgium, Canada, and Israel. We demonstrate that politicians are as or more subject to common choice anomalies when compared to nonpoliticians: they exhibit a stronger tendency to escalate commitment when facing sunk costs, they adhere more to policy choices that are presented as the status-quo, their risk calculus is strongly subject to framing effects, and they exhibit distinct future time discounting preferences. This has obvious implications for our understanding of decision making by elected politicians.


2020 ◽  
Vol 12 (7) ◽  
pp. 3017 ◽  
Author(s):  
Milovan Tomašević ◽  
Lucija Lapuh ◽  
Željko Stević ◽  
Dragiša Stanujkić ◽  
Darjan Karabašević

The use of computers with outstanding performance has become a real necessity in order to achieve greater efficiency and sustainability for the accomplishment of various tasks. Therefore, with the development of information technology and increasing dynamism in the business environment, it is expected that these computers will be more intensively deployed. In this paper, research was conducted in Danube region countries: Austria, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Germany, Hungary, Moldova, Montenegro, Romania, Serbia, Slovakia, Slovenia, and Ukraine. The aim of the research was to determine what criteria are most significant for the introduction of high-performance computing and the real situation in each of the countries. In addition, the aim was to establish the infrastructure needed to implement such a system. In order to determine the partial significance of each criterion and thus the possibility of implementing high-performance computing, a multi-criteria model in a fuzzy environment was applied. The weights of criteria and their rankings were performed using the Fuzzy PIvot Pairwise RElative Criteria Importance Assessment—fuzzy PIPRECIA method. The results indicate different values depend on decision-makers (DMs) in the countries. Spearman’s and Pearson’s correlation coefficients were calculated to verify the results obtained.


2016 ◽  
Vol 9 (8) ◽  
pp. 1 ◽  
Author(s):  
Yu-Li Lin ◽  
Hsiu-Wen Liu ◽  
Fengzeng Xu ◽  
Hao Wang

<p>This study addresses the important question of causal complexity as it relates to the influence of social capital, entrepreneurial alertness and the entrepreneurship environment on business performance. Using a relatively new methodological approach, namely fuzzy-set qualitative comparative analysis (fsQCA), this paper aims to investigate alternative complex antecedent conditions (or causal recipes) that lead to high performance. Based on a survey of 194 entrepreneurs in China, this paper shows that business performance is likely to be the result of a combination of causal factors. This study finds that: (1) four different configurations of social capital, entrepreneurial alertness and entrepreneurship environment were “equifinal” causes of high performance, and (2) market openness should fit other environmental conditions to achieve high performance. This study contributes to research on entrepreneurship by applying the ideas of “equifinality” and “fit” to entrepreneurial characteristics and environment theory.</p>


Author(s):  
Xiu-bao Yu

AbstractThis chapter introduces the basic information for the need of strategic decision-making, including internal key information of the organization, external information. Strategic decision makers are required to conduct analysis and have a deep understanding of the industry trend and of the organization resources and capabilities.


Author(s):  
Carlos Llopis-Albert ◽  
Francisco Rubio ◽  
Francisco Valero

<p class="Textoindependiente21">The designing of an efficient warehouse management system is a key factor to improve productivity and reduce costs. The use of Automated Guided Vehicles (AVGs) in Material Handling Systems (MHS) and Flexible Manufacturing Systems (FMS) can help to that purpose. This paper is intended to provide insight regarding the technical and financial suitability of the implementation of a fleet of AGVs. This is carried out by means of a fuzzy set/qualitative comparative analysis (fsQCA) by measuring the level of satisfaction of managerial decision makers.</p>


2011 ◽  
pp. 1531-1542
Author(s):  
Zita Zoltay Paprika

Many management scholars believe that the process used to make strategic decisions affects the quality of those decisions. However, several authors have observed a lack of research on the strategic decision-making process. Empirical tests of factors that have been hypothesized to affect the way strategic decisions are made are notably absent (Fredrickson, 1985). This article reports the results of a study that attempts to assess the effects of decision-making circumstances, focusing mainly on the approaches applied and the managerial skills and capabilities the decision makers built on during concrete strategic decisionmaking procedures. The study was conducted in California between September 2005 and June 2006 and it was sponsored by a Fulbright research scholarship grant.


Author(s):  
Mattia Vettorello ◽  
Boris Eisenbart ◽  
Charlie Ranscombe

AbstractTo be successful in innovation, organisations need to be dynamically adaptable to novel situations to avoid getting ‘left behind’. Yet, they face vast uncertainties stemming from unforeseeable technological shifts or future user and market behaviour, making strategic decision-making on innovation an extremely difficult task. Decision-makers thus increasingly try to control or shape the future, rather than foresee it. This includes thinking ahead and generating potential pathways that will make an innovation viable. This captures the essence of designerly ways of thinking in reasoning toward ‘what might be’. Extant literature has been reviewed that discusses alternative strategies how this future-oriented thinking can be applied to become better at selecting novel ideas for development. We observe parallels between divergent thinking, abductive reasoning, analogising and lateral thinking suggested by different authors in this process. The paper continues to propose how these key mechanisms can be embedded within an existing framework for decision-making under uncertainty, the ‘OODA Loop’, which has seen increasing uptake in such decision-making scenarios.


Kybernetes ◽  
2010 ◽  
Vol 39 (5) ◽  
pp. 825-837 ◽  
Author(s):  
Jing Zhang ◽  
Shifei Shen ◽  
Rui Yang

PurposeThe purpose of this paper is to focus on resource allocation and information disclosure policy for defending multiple targets against intentional attacks. The intentional attacks, like terrorism events, probably cause great losses and fatalities. Attackers and defenders usually make decisions based on incomplete information. Adaptive attacking and defending strategies are considered, to study how both sides make more effective decisions according to previous fights.Design/methodology/approachA stochastic game‐theoretic approach is proposed for modeling attacker‐defender conflicts. Attackers and defenders are supposed both to be strategic decision makers and partially aware of adversary's information. Adaptive strategies are compared with different inflexible strategies in a fortification‐patrol problem, where the fortification affects the security vulnerability of targets and the patrol indicates the defensive signal.FindingsThe result shows that the intentional risk would be elevated by adaptive attack strategies. An inflexible defending strategy probably fails when facing uncertainties of adversary. It is shown that the optimal response of defenders is to adjust defending strategies by learning from previous games and assessing behaviors of adversaries to minimize the expected loss.Originality/valueThis paper explores how adaptive strategies affect attacker‐defender conflicts. The key issue is defense allocation and information disclosure policy for mitigation of intentional threats. Attackers and defenders can adjust their strategies by learning from previous fights, and the strategic adjustment of both sides may be asynchronous.


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