scholarly journals Trade-Control Compliance in SMEs: Do Decision-Makers and Supply Chain Position Make a Difference?

Author(s):  
Christian Hauser

AbstractIn recent years, trade-control laws and regulations such as embargoes and sanctions have gained importance. However, there is limited empirical research on the ways in which small- and medium-sized enterprises (SMEs) respond to such coercive economic measures. Building on the literature on organizational responses to external demands and behavioral ethics, this study addresses this issue to better understand how external pressures and managerial decision-making are associated with the scope of trade-control compliance programs. Based on a sample of 289 SMEs, the findings show that the organizational responses of SMEs reflect proportionate adjustments to regulatory pressures but only if decision-makers are well informed and aware of the prevailing rules and regulations. Conversely, uninformed decision-making leads to a disproportionate response resulting in an inadequately reduced scope of the compliance program. In addition, the results indicate that SMEs that are highly integrated into supply chains are susceptible to passing-the-buck behavior.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tobias Berger ◽  
Frank Daumann

PurposeThe NBA Draft policy pursues the goal to provide the weakest teams with the most talented young players to close the gap to the superior competition. But it hinges on appropriate talent evaluation skills of the respective organizations. Research suggests the policy might be valid but to date unable to produce its intended results due to the “human judgement-factor”. This paper investigates specific managerial selection-behavior-influencing information to examine why decision-makers seem to fail to constantly seize the opportunities the draft presents them with.Design/methodology/approachAthleticism data produced within the NBA Draft Combine setting is strongly considered in the player evaluations and consequently informs the draft decisions of NBA managers. Curiously, research has failed to find much predictive power within the players pre-draft combine results for their post-draft performance. This paper investigates this clear disconnect, by examining the pre- and post-draft data from 2000 to 2019 using principal component and regression analysis.FindingsEvidence for an athletic-induced decision-quality-lowering bias within the NBA Draft process was found. The analysis proves that players with better NBA Draft Combine results tend to get drafted earlier. Controlling for position, age and pre-draft performance there seems to be no proper justification based on post-draft performance for this managerial behavior. This produces systematic errors within the structure of the NBA Draft process and leads to problematic outcomes for the entire league-policy.Originality/valueThe paper delivers first evidence for an athleticism-induced decision-making bias regarding the NBA Draft process. Informing future selection-behavior of managers this research could improve NBA Draft decision-making quality.


Author(s):  
Neeta Baporikar

Decisions can make or mar an organization. Decision-making is a multifaceted and intricate process. This process becomes even more complicated and complex when it comes to organizations, especially in this competitive world. Today, decisions are made not only under uncertainty, with available and/or limited information, but may also be made in a virtual setting. Decision makers may not be engaged in face-to-face deliberations. Hence, understanding the challenges, complexity, and rewards of the use of technology, especially information technology in managerial decision-making, is important. Such an understanding is not only vital in determining the efficacy of managers and their organizations, but also significant in designing future management approaches and organizations. This is the core objective of this chapter.


2019 ◽  
Vol 33 (2) ◽  
pp. 710-754 ◽  
Author(s):  
Monica Adya ◽  
Gloria Phillips-Wren

Purpose Decision making is inherently stressful since the decision maker must choose between potentially conflicting alternatives with unique hazards and uncertain outcomes. Whereas decision aids such as decision support systems (DSS) can be beneficial in stressful scenarios, decision makers sometimes misuse them during decision making, leading to suboptimal outcomes. The purpose of this paper is to investigate the relationship between stress, decision making and decision aid use. Design/methodology/approach The authors conduct an extensive multi-disciplinary review of decision making and DSS use through the lens of stress and examine how stress, as perceived by decision makers, impacts their use or misuse of DSS even when such aids can improve decision quality. Research questions examine underlying sources of stress in managerial decision making that influence decision quality, relationships between a decision maker’s perception of stress, DSS use/misuse, and decision quality, and implications for research and practice on DSS design and capabilities. Findings The study presents a conceptual model that provides an integrative behavioral view of the impact of a decision maker’s perceived stress on their use of a DSS and the quality of their decisions. The authors identify critical knowledge gaps and propose a research agenda to improve decision quality and use of DSS by considering a decision maker’s perceived stress. Originality/value This study provides a previously unexplored view of DSS use and misuse as shaped by the decision and job stress experienced by decision makers. Through the application of four theories, the review and its findings highlight key design principles that can mitigate the negative effects of stressors on DSS use.


2019 ◽  
Vol 18 (06) ◽  
pp. 1875-1908
Author(s):  
Akshay Hinduja ◽  
Manju Pandey

ERP system is a software package that integrates and manages all the facets of the business and deeply influences the success of a business endeavor. The increasing competition in the market, rapidly changing demands, and increasing intricacy of business procedures induce enterprises to adopt ERP solutions. Adopting an ERP solution increases synchronization between business activities and reinforces managerial decision-making. However, it also involves a large investment, a significant amount of human resources and time, and risk of failure. Therefore, the selection of an ERP solution is a crucial decision for enterprises. To address this decision-making problem, we propose a four-stage multi-criteria decision-making approach in this paper. Three prevalent MCDM techniques, DEMATEL, IF-ANP, and IF-AHP, are used in different stages of the methodology to achieve better outcomes. The methodology incorporates the intuitionistic fuzzy sets to capture uncertainty and hesitancy involved in decision makers’ judgments. In addition, we develop a novel priority method to derive weights from the intuitionistic fuzzy preference relations. To validate the feasibility of the proposed approach, a case study is carried out on the selection of cloud-based ERP system for SMEs in the Chhattisgarh state of India, which indicates that the proposed four-stage approach effectively handles the ERP selection problem.


2002 ◽  
Vol 28 (1) ◽  
pp. 89-106 ◽  
Author(s):  
Jeffrey P. Slattery ◽  
Daniel C. Ganster

We tested the effects of positive and negative framing on risky decision making in a simulated managerial judgement task. Until now the extensive research on framing effects has been characterized by static contexts, explicit probabilities, and hypothetical gambles. In contrast we simulated a more realistic decision making environment in which individuals chose more or less risky goals in a complex dynamic task that featured uncertain outcomes and meaningful consequences. Decision makers chose a series of performance goals under conditions of either potential losses or gains and also received feedback about their goal attainment. Our results failed to replicateProspect Theory predictions about initial gain vs.loss framing typically found in static decision making contexts. In addition, we tested competing hypotheses derived from Prospect Theory and Quasi-Hedonic Editing (QHE) Theory about the effects of performance outcome feedback on subsequent decisions. Consistent with QHE Theory, decision makers who had failed to reach their goals set lower, less risky goals in subsequent decisions. Our findings illustrate the need for further risk taking research in environments that more closely resemble managerial decision making.


2017 ◽  
Vol 41 (4) ◽  
pp. 455-468 ◽  
Author(s):  
Eugene Soltes

Preparing students for the consequential ethical decisions that they will face in their careers is among the most difficult tasks of management education. I describe some of these challenges based on my book Why They Do It: Inside the Mind of the White-Collar Criminal and recent work in behavioral ethics. I explore why some decisions are much more easily resolved in the classroom than in practice and offer three ways to more effectively prepare students: integrating ethical decision making with core-discipline teaching, cultivating moral humility rather than moral confidence, and creating opportunities for norm reinforcement.


2014 ◽  
Vol 21 (6) ◽  
pp. 1084-1119 ◽  
Author(s):  
Swagatika Mishra ◽  
Siba Sankar Mahapatra ◽  
Saurav Datta

Purpose – The purpose of this paper is to investigate the influence of decision-makers’ (DM) risk bearing attitudes and the effect of the decision-making environment on estimating the overall degree of agility of an organization. The present study explores an extended agility model in a specific organization's hierarchy and reflects how decision-making attitudes alter an organizational agility scenario. Design/methodology/approach – The concept of fuzzy logic has been explored in this paper. Based on DMs’ linguistic judgments, a fuzzy appropriateness rating as well as fuzzy priority weights have been determined for different levels of agile system hierarchy. Using a multi-grade fuzzy approach the overall agility index has been determined. The concept of fuzzy numbers ranking has been explored to show the effect of decision-making attitudes on agility estimations. Findings – Decision-making attributes, e.g. the category of DM (neutral, risk-averse and risk-taking), affect the quantitative evaluation of the overall agility degree, which is correlated with a predefined agility measurement scale. Research limitations/implications – This study explores a triangular fuzzy membership function to express DMs’ linguistic judgments as fuzzy representations. Apart from triangular fuzzy numbers, trapezoidal and Gaussian fuzzy numbers may also be used for agility evaluation. The model may be used in other agile industries for benchmarking and selection of the best approach. Practical implications – Selecting the right decision-making group to compute and analyze the agility level for a particular organization is an important managerial decision. In the case of benchmarking of various agile enterprises the decision-making group bearing the same attitude should be utilized. Originality/value – Agile system modeling and development of agility appraisement platforms have been attempted by previous researchers while the influence of DMs’ risk bearing attitudes, and the effect of the decision-making environment on estimating the overall degree of agility, have rarely been studied. In this context, the authors explore an exhaustive agility model for implementing in a case study and reveal how decision-making attitudes alter organizational agility scenarios.


Author(s):  
Francisco J. Acedo ◽  
José L. Galán

Utilizing the theory of planned behaviour (TPB), this article proposes and tests relationships among the nature of export stimuli, the personal characteristics of decision makers and the decisions they make with regard to internationalization. The conceptual model for the study includes psychological variables that might condition owner-managers’ decision-making responses to such export stimuli. Using structural equation modelling, the study analyses data obtained by a survey questionnaire from 110 Spanish small- and medium-sized enterprises. The analysis reveals the importance of two particular variables, the perception of risks and opportunities in exports and the decision maker’s proactiveness, in determining the export stimuli and how these in turn affect the international behaviour of firms.


2016 ◽  
Vol 6 (3) ◽  
pp. 38 ◽  
Author(s):  
Nuray Atsan

<p>We examine the main theoretical models of decision making under stress and the effects of decision stress on decision making process to provide a deeper understanding of the decision making phenomenon. The literature review reveals that stress can have an impact on each stage of the decision-making process. The review also finds that decision makers could enhance their decision-making performance and prevent potential decision failures by means of adapting certain coping strategies.</p>


1986 ◽  
Vol 30 (13) ◽  
pp. 1244-1248
Author(s):  
Robert Robless ◽  
Glen Bottoms ◽  
Mark Lister ◽  
Woodrow Barfield

This article describes an experiment that examined the effects of two versus three-dimensional graphs for two modes of information presentation, paper or computer, for a managerial decision-making problem. The effects of these variables on the problem solving strategies and cognitive styles of experienced and non-experienced decision makers were also examined. The experimental results indicated that solution times were faster for computer than for paper presentations of information, no significant effects for dimensionality were found, and there was no significant correlation between solution time and cognitive styles (visual acuity, Myers-Briggs test) across modes of information presentation.


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