ANNALES KINESIOLOGIAE • 13 • 2022 • 1 47 Original scientific article DOI: https://doi.org/10.35469/ak.2022.365 received: 2022-11-24 UDC: 796.062:005.7 THE DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS Edvard KOLAR1, Matej TUŠAK2 1 University of Maribor, Faculty of Organizational Science, Slovenia 2 University of Ljubljana, Faculty of Sport, Slovenia Corresponding author: Edvard KOLAR University of Maribor, Faculty of Organizational Science, Kidričeva cesta 55A, 4000 Kranj Phone: +386 41 376 381 E-mail: edvard.kolar@guest.um.si ABSTRACT Purpose: Decisions that we make are always burdened with consequences, which are the inevitable result of our decision-making. The decision-making style (DMS) is the way in which managers acquire, process and use information in decision-making processes. The goals of the present research are to define the factor structure of DMS for a sample of Slovenian sports managers and to determine the characteristics of their DMS structure. Methods: 80 managers of Slovenian sports organizations filled in an anonymous internet survey. The DMS was measured with the use of the General Decision-Ma- king Style Inventory (GDMS), which was translated into the Slovenian language. The GDMS questionnaire measures five different decision-making styles: rational, intuitive, dependent, avoidant and spontaneous. The factor analysis (FA) method was used to test the assumption about the structure of the DMS. The internal consistency was measured using Cronbach’s alpha coefficient. The Pearson correlation coefficient was used to study the relationship between the DMS. Results: After three successive implementations of FA, we developed an optimized DMS model with 20 items confirming that when making decisions, sports managers use a combination of all five DMS. Slovenian sports managers mostly use the rational and dependent DMS, indicating that they are mostly rational decision-makers. We also recognized the correlation between the rational and the dependent style, but since the structure of the DMS in our sample is dominated by the rational DMS, we could con- clude that this is a dependent-rational DMS, where mangers seek advice, opinions and knowledge from colleagues when making decisions to increasing their rationality. 48 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 ANNALES KINESIOLOGIAE • 13 • 2022 • 1 Conclusions: We can conclude that the recognized average structure of the DMS is functional and healthy; furthermore, Slovenian sports managers are on average rati- onal decision-makers who, due to the specific organizational characteristics of sports organizations, look for confirmation and opinions on future decisions in the broader environment of the organizations’ stakeholders. Keywords: Slovenian sports managers, decision-making styles, structure. STRUKTURA STILOV ODLOČANJA SLOVENSKIH ŠPORTNIH MENEDŽERJEV IZVLEČEK Namen: Odločitve, ki jih sprejemamo, so vedno obremenjene s posledicami, ki so neizogiben rezultat našega odločanja. Stil odločanja (DMS) je način, na katerega me- nedžerji pridobivajo, obdelujejo in uporabljajo informacije v procesih odločanja. Cilja te raziskave sta opredelitev faktorske strukture DMS na vzorcu slovenskih športnih me- nedžerjev in opredelitev značilnosti strukture njihovih stilov. Metode: 80 menedžerjev slovenskih športnih organizacij je izpolnilo anonimno spletno anketo. DMS je bil merjen z uporabo splošnega vprašalnika stilov odločanja (GDMS), ki je bil preveden v slovenski jezik. Vprašalnik GDMS meri pet različnih stilov odločanja: racionalnega, intuitivnega, odvisnega, izogibajočega in spontanega. Za preverjanje predpostavke o strukturi DMS je bila uporabljena metoda faktorske analize (FA). Notranja konsistentnost je bila preverjena s Cronbachovim koeficientom. Pearsonov korelacijski koeficient je bil uporabljen za proučevanje povezanosti med stili odločanja. Rezultati: Po treh zaporednih izvedbah FA smo razvili optimiziran model stilov od- ločanja z 20 postavkami vprašalnika, ki potrjuje, da športni menedžerji pri odločanju uporabljajo kombinacijo vseh petih stilov odločanja. Večinoma uporabljajo racionalni in odvisni stil, kar kaže, da so večinoma racionalni odločevalci. Ugotovljena je bila tudi korelacija med racionalnim in odvisnim stilom, ker pa v strukturi našega vzorca prevladuje racionalni stil, bi lahko sklepali, da gre za odvisno-racionalni stil odloča- nja, v okviru katerega menedžerji pri sprejemanju odločitev iščejo nasvete, mnenja in znanje pri sodelavcih zaradi povečanja racionalnosti svojih odločitev. Zaključek: Ugotovili smo, da je ugotovljena povprečna struktura stilov odločanja funkcionalna in zdrava. Slovenski športni menedžerji so v povprečju racionalni od- ločevalci, ki zaradi posebnih organizacijskih značilnosti športnih organizacij iščejo potrditev in mnenja o prihodnjih odločitvah v širšem okolju deležnikov organizacije. Ključne besede: slovenski športni menedžerji, stili odločanja, struktura. ANNALES KINESIOLOGIAE • 13 • 2022 • 1 49 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 INTRODUCTION Decision-making is a process resulting in a decision (Tomić, 2007). “Decisions are an essential part of our lives, both in the work environment and outside of it. Decisions are made by those who are responsible for choosing between two or more options,” (Heller & Hindle, 2001). A decision, as a result of a decision-making process, can be defined as “a judgment or choice between two or more options that develops from an infinite number of situations, from solving a problem to taking action in a certain di- rection,” (Heller & Hindle, 2001). Bohanec (2012) writes that a decision is a conscious and irreversible sharing of resources with the aim of achieving the desired goals. The decisions we make are always burdened with consequences, which are inevitable re- sults of our decision-making. Therefore, it is particularly important how we decide on matters (or problems). The decisions we make define our past and significantly design our future. Deci- sions made by managers about a company define the company’s past performance, its current market, economic and social position and its future place in the industry, national economy and global environment. The essence of the managerial function is the coordination of technically divided work and the implementation of the joint work tasks of the association with the help of others; i.e., delegating and solving problems that arise, or making decisions. Thus, we could define the content of management work as coordination and delegation (responsibilities, duties and powers), while the method of managerial work is decision-making (Kolar & Jurak, 2014). Because of this, mana- gers are often called decision-makers (Daft, 2010). The results of their decisions are reflected in the growth, prosperity or collapse of the organizations they deal with (Daft, 2008). Simon (1960) wrote that decision-making and management are synonymous terms. The general idea of the decision maker is an individual who evaluates and cho- oses between possible decisions. When solving problems, decision-makers are faced with situations representing a gap between the desired (the goal of the decision) and the actual state (initial state); in order to bridge this gap, they perform intellectual (co- gnitive) activities, while the future steps that need to be taken are unknown (Klein & Methlie, 1992). Every decision refers to an object, and the reason for its adoption is a certain purpose, which manifests itself as an intended change of that object in favour of the one who makes the decision (Rozman & Kovač, 2012). A fundamental condition for ensuring the success and efficiency of n organization is that the managers at all levels of management make valid decisions. Simon (1987) claims that it is highly unlikely to find two types of managers (at least not good managers) who can be classified as making decisions solely based on intuition or making decisions solely based on rational/analytical techniques. It is more likely that we will find a range of combinations or the related use of intuition and rational-analytical techniques in decision-making processes. Rowe, Boulgarides and McGrath (1984) point out that the decision-making style reflects the way a person uses information to make decisions. Avsec (2012) accordingly stated that, despite the fact that the nature of the problem and situational factors play an important role in decision- 50 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 ANNALES KINESIOLOGIAE • 13 • 2022 • 1 -making, we can assume that, regardless of the decision-making problem, individuals differ in the frequency of use of individual decision-making styles. Remenova and Jan- kelova (2019) state that the decision-making style can be understood as the result of a cognitive process that leads to the choice of solutions from among several alternatives. The authors also note that managers generally use a combination of at least two de- cision-making styles, varying based on the characteristics and weight of the decision problem. Driver (1979) defined decision-making styles as learned patterns of response that people use when making decisions. The decision-making style is therefore the way managers acquire, process and use information in decision-making processes. This is a set of qualitative indicators that manifest themselves within the decision-making pro- cess in the form of a decision-making style and represent a typical method of enforcing decisions. Managers’ decision-making styles significantly contribute to their individual performance and thus to the performance of organizations (Abdelsalam, Daeoud & ElKadi, 2013); therefore, as pointed out by Rowe and Boulgarides (1992), they need to be measured, because decision-making styles should form the backbone of effective de- cision-making. Knowledge of decision-making styles and their use in the management structure directly contributes to increasing the competitive advantage of organizations (Remenova & Jankelova, 2019) and can also represent one of the main sources of risk for the successful operation of organizations. Several authors have worked on defining decision-making styles. It is typical of research in the field of decision-making styles that in addition to defining the styles, authors often build different models and constructs, including a varying number of decision-making styles, as well as different inventories for determining the dominant styles of individual subjects (Harren, 1979; Rowe & Mason, 1987; Hunt, Krzystofiak, Meindl, & Yousry, 1989; Scott & Bruce 1995; Nygren, 2000). Berisha, Pula and Kra- sniqi (2018), based on a review of a large number of studies, concluded that one of the most frequently used and validated questionnaires for discovering decision-making styles is the General Decision-Making Style Inventory (GDMS) developed by Scott and Bruce (1995). Scott and Bruce (1995) defined decision-making styles as a learned response or behavioural pattern of an individual who is faced with a decision-making situation. They claimed that it is not a personality trait, but rather a tendency to react in a specific way in a decision-making situation, whereby the characteristics of the situa- tion itself can have a significant influence. The authors also stated that individual styles are not mutually exclusive and that individuals do not rely exclusively on one decision- -making style. The results of their study showed that individuals use a combination of decision-making styles when making important decisions. Based on the questionnaire, which contained 37 items and was used on the initial sample of subjects (military of- ficers), with the use of factor analysis, the authors discovered a structure based on five factors (decision-making styles) and then reduced the questionnaire to 25 items. In the subsequent steps of the analysis, the questionnaire was tested with the use of the factor analysis method (the principal axes method with varimax factor rotation) on the remaining three different samples. The results of the study showed that the structure of the decision-making styles consists of five styles and that the questionnaire can be used ANNALES KINESIOLOGIAE • 13 • 2022 • 1 51 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 regardless of the decision-making context or situation (Scott & Bruce, 1995). The five decision-making styles included in the GDMS inventory are defined as (Thunholm, 2004; Faletič & Avsec, 2013): – rational style: characteristic of people who search for information in detail and comprehensively and logically evaluate all the alternatives. They mainly focus on logic, order and the systematic analysis of information; – intuitive style: characteristic of those who pay a lot of attention to details in the information flow and, instead of systematically searching and processing information, mainly consider their feelings about whether a certain decision is correct or not; – dependent style: characteristic of people who seek advice, support and confirma- tion from others before making an important decision; – spontaneous style: characteristic of those who have a sense of urgency and thus a desire to complete the decision-making process as soon as possible and make a decision; – avoidant style; characteristic of people who want to avoid making a decision whenever possible. In various studies on samples from different countries, numerous authors (Loo, 2000; Thunholm, 2004; Spicer & Sadler-Smith, 2005; Gambetti, Fabbri, Bensi & To- netti, 2008; Curşeu & Schruijer; 2012; Erenda, Meško & Bukovec; 2014; Bavoľár & Orosová, 2015; Alacreu-Crespo et al., 2019) have confirmed the validity (using factor analysis) and reliability (using Cronbach’s alpha coefficient) of the GDMS inventory as suggested by Scott and Bruce (1995). In the aforementioned preliminary research, the authors tested the validity of the five-factor structure of decision-making styles on samples of managers, various profiles of students, the general population, military officers and others. In the present study, we will determine the factor structure of decision-making styles using a sample of Slovenian sports managers. Sports managers usually work in the specific environment of non-profit sports organizations, which in terms of legal, structural and procedural characteristics, are significantly different to for-profit organizations (companies). One of the important characteristics of sports organizations is that they are interest-type associations, in which the interests of different stakeholders are in constant conflict (Tavčar & Trunk Širca, 2002). Participants in sports organizations are individuals (offi- cials, coaches and athletes), groups (professional and other) and associations (societies and clubs), all with their own interests and with the possibility of significantly acting and influencing the operation of the organization. Furthermore, in non-profit sports or- ganizations, it is necessary to deal with a large number of volunteers (Santos, Batista & Carvalho, 2022) and to generate and obtain financial resources from a large number of different sources (sponsorships, donations, national and local budgets, sales of products and services, etc.). Finally, a “unique” governmental-managerial process is established in non-profit sports organizations; they are led by a committee of elected volunteers (governmental organizational function) who form very sensitive relations with profes- sional (management) staff (Young, 1998; Kolar & Jurak, 2014). 52 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 ANNALES KINESIOLOGIAE • 13 • 2022 • 1 All of the aforementioned specifics of the structure and operation of non-profit sports organizations have a significant impact on the management and decision-ma- king processes in these types of organizations and thus probably on the structure of the decision-making styles of the sports managers. The goals of the present research are to define the factor structure of decision-making styles using a sample of Slovenian sports managers and to determine the characteristics of their structure of decision-making styles. According to the described structural and operational differences in the functio- ning of non-profit sports organizations, we can define the hypothesis that in the struc- ture of decision-making styles of the sample of managers in our research, the depen- dent decision-making style will be more emphasized than the intuitive and spontaneous style, which enables faster and quick decisions. We assume that sports managers have to coordinate decisions with much more diverse stakeholder interests than is typical for for-profit organizations (companies). METHODS Participants The sample consisted of 80 managers of Slovenian sports organizations, which is more than the minimum requirement for executing the factor analysis (de Winter, Dodou & Wieringa, 2009, Andrew, Pedersen & McEvoy, 2010). The average age of the subjects was 47.5±10.6 years and the average work experience as a manager was 15.61±9.7 years. The upper age limit was 68 years, whereas the lower age limit was 28 years. The most experienced manager had 40 years and the least experienced 1 year of work experience. The sample consisted of 56 men (70%) and 24 women (30%). The sample is comparable to samples of sports managers by other authors (Barros & Lucas, 2001; Case & Branch, 2003; Retar, Plevnik & Kolar, 2013). The Slovenian Olympic Committee sent the managers of Slovenian sports organizations an invitation to parti- cipate in the study and to fill in an anonymous internet survey. The invitation was sent three times at one-month intervals. All the subjects participated in the study voluntarily and without any compensation. Instrument The decision-making style was measured with the use of the General Decision- -Making Style Inventory – GDMS (Scott & Bruce, 1995), which was translated into the Slovenian language. The GDMS questionnaire measures five different decision- -making styles: rational, intuitive, dependent, avoidant and spontaneous. The questio- nnaire consists of 25 items (5 for each decision-making style) ranging on a five-point Likert scale from strongly disagree (1) to strongly agree (5). The total score of all five decision-making styles was obtained by adding the item score of the decision-making ANNALES KINESIOLOGIAE • 13 • 2022 • 1 53 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 style and the score ranges from 5 to 25. GDMS scales have previously shown good psychometric characteristics (Scott & Bruce, 1995; Loo, 2000; Thunholm, 2004; Spi- cer & Sadler-Smith, 2005; Gambetti, et. al, 2008; Curşeu & Schruijer; 2012; Avsec, 2012; Erenda, et al.; 2014; Bavoľár & Orosová, 2015; Alacreu-Crespo, et. al, 2019). In this study, the alpha coefficients of the scales ranged between 0.572 (spontaneous) and 0.814 (avoidant). The Cronbach’s alpha for the whole GDMS is 0.69, which is a good indicator of internal consistency. The Slovenian version of the GDSM inventory has already been used and validated in several research projects and using different samples in Slovenia (Avsec, 2012; Faletič & Avsec, 2013; Erenda, et al.; 2014); in the present study, general information questions about gender, age, experiences in management, level of education and field of education were added. Statistical Analysis Statistical data processing was carried out using the Statistical Package for the Soci- al Sciences 29 (IBM SPSS Inc., Armonk, NY, USA). The factor analysis method – Prin- cipal Component Factoring (PCF) and varimax rotation of factors – was used to test the assumption about the structure of decision-making styles (Scott & Bruce, 1995). Factor extraction was carried out with the use of Kaiser-Guttman’s criterion (Eigenvalue > 1). Before applying the factor analysis (FA), the data adequacy was tested with the Keiser- -Meyer-Olkin Measure of Sampling Adequacy (KMO) and Bartlett’s test of sphericity. Values of the KMO test above 0.6 indicate that the analyzed data is suitable for the use of FA (Tabachnick & Fidell, 2007). Bartlett’s test must show significant differences at a risk level of less than 5% (p < 0.05), showing that the correlation matrix is not uniform and that the observed variables are related to a certain extent. The internal consistency of the overall scale and subscales was measured using Cronbach’s alpha coefficient. Pearson correlation coefficient was used to study the relationship between the GDMS’ styles. RESULTS Table 1 shows descriptive statistics for five decision-making styles. The average values of the individual decision-making style use (Mean/Value) were calculated from the original model of items assigned to an individual decision-making style (Scott & Bruce, 1995). The average share of the individual decision-making style use (Mean/% of maximum) in relation to the maximum possible total value of the sum of items origi- nally dedicated to the individual decision-making style (maximum = 25) was calculated for each decision-making style. 54 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 ANNALES KINESIOLOGIAE • 13 • 2022 • 1 Table 1: Descriptive statistics and internal consistency of decision-making styles. Variable Po ss ib le r an g A ct ua l r an ge Mean St an da rd D ev ia tio n Sk ew ne ss K ur to si s C ro nb ac h α Va lu e % o f m ax im um DMS Rational 5–25 15–25 21.35 85.40% 2.081 -0.283 0.885 0.777 DMS Intuitive 5–25 7–21 15.30 61.20% 3.235 -0.537 0.024 0.667 DMS Dependent 5–25 10–23 17.53 70.10% 3.027 -0.211 -0.365 0.694 DMS Avoidant 5–25 5–18 9.21 36.85% 3.129 0.439 -0.508 0.814 DMS Spontaneous 5–25 6–20 12.80 51.20% 2.558 0.122 -0.044 0.572 Key: DMS Rational = rational style; DMS Intuitive = intuitive style; DMS Dependent = dependent style; DMS Avoidant = avoidant style; DMS Spontaneous = spontaneous style. The structure of the decision-making styles (Table 1) revealed that Slovenian sports managers on average most often use the rational and dependent decision-making styles. These are followed by the intuitive and spontaneous decision-making styles whereas sports managers in Slovenia are least likely to use the avoidant decision-making style. Similar results on the structure of decision-making styles in different samples (middle managers, teachers, students, military officers and engineers) were also found by other authors (Scott & Bruce, 1995; Hariri, Monypenny & Prideaux, 2014; Ghazi & Hu, 2016; Berisha, et al., 2018; Krasniqi, Berisha & Pula, 2019). The internal consisten- cy, calculated using Cronbach’s alpha coefficient, was 0.686 for the overall scale and between 0.572 (DMS Spontaneous) and 0.814 (DSM Avoidant) for the five subscales. The reliability coefficient of the questionnaire items for the spontaneous style can be assessed as sufficient, while the other coefficients indicate moderate to robust internal consistency (Taber, 2018). Before applying FA, the Kaiser-Meyer-Olkin (KMO) test and Bartlett’s test of sphe- ricity (Table 2) were carried out to evaluate the factorability. The KMO measure of sampling adequacy was 0.689 (the required minimum is above 0.6) and the significance of Bartlett’s test of sphericity was 0.000 (p < 0.01). The results of both tests show that the studied sample is suitable for performing FA. ANNALES KINESIOLOGIAE • 13 • 2022 • 1 55 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 Table 2: The Kaiser-Meyer-Olkin (KMO) test and Bartlett’s test of sphericity. KMO and Bartlett‘s Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. 0,689 Bartlett‘s Test of Sphericity Approx. Chi-Square 824.326 df 300 Sig. 0.000 The structure of the decision-making styles of Slovenian sports managers was ve- rified by FA using the method of principal components with varimax rotation (Table 3). The FA procedure based on Kaiser-Guttman’s criterion extracted seven (7) factors, which cumulatively explain 66.65% of the total variance. Table 3 shows a scree plot diagram with the factor eigenvalue curve bend at the fifth factor, meaning that a five- -factor solution corresponds to the basic GDMS model and could also be considered a valid result of the FA (Scott & Bruce, 1995; Spicer & Sadler-Smith, 2005). Thus, the rotated solution with five factors explains 54.57% of the total variance of the observed variables. Table 4 shows the factor structure and factor loadings of the items included in the GDMS inventory, which were obtained by the orthogonal rotation of the factors using the varimax method. It can be observed that all the items measuring a rational decision- -making style (DMSRAT1 to DMSRAT5) from the original model are related to the first factor (factor loadings from 0.637 to 0.725). The first factor explains 13.91% of the total variance of the rotated solution (Table 3) and can be named the “rational style”. The second factor is associated with four items measuring the avoidant style (DMSA- VO2, 3, 4 and 5) and one of the spontaneous decision-making style items (DMSSPO2). The projections of avoidant style items on the second factor are high (factor loadings from 0.663 to 0.876), while the projection of the DMSSPO2 on the same factor is very low (0.382). Therefore, the second factor can be named the “avoidant style”, explaining 13.61% of the total space of the rotated solution (Table 3). The third factor (Table 4) is explained with three items measuring the intuitive decision-making style (DMSINT1, 2 and 5). Projections of items on this factor are very high for all three items (factor loadings from 0.797 to 0.871). The third factor explains 10.61% of the total variance of the rotated solution (Table 3) and can be named the “intuitive style”. The fourth factor is explained with four dependent decision-making style variables (DMSDEP1, 2, 3 and 4) with relatively high projections on the factor (factor loadings from 0.636 to 0.788). The fourth factor explains 8.90% of the total variance (Table 3) and can be named the “dependent style”. The fifth factor is explained with only two items, both belonging to the spontaneous decision-making style (DMSSPO1 and 3). Their projections on the factor are high (factor loadings 0.735 and 0.801). The fifth factor explains 7.54% of the total variance of the rotated solution (Table 3) and can be named the “spontaneous style”. The sixth factor of the rotated solution is explained with four variables, which, in 56 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 ANNALES KINESIOLOGIAE • 13 • 2022 • 1 Total Variance Explained C om po ne nt Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings To ta l % o f V ar ia nc e C um ul at iv e % To ta l % o f V ar ia nc e C um ul at iv e % To ta l % o f V ar ia nc e C um ul at iv e % 1 5.022 20.087 20.087 5.022 20.087 20.087 3.479 13.917 13.917 2 3.451 13.803 33.890 3.451 13.803 33.890 3.403 13.612 27.529 3 2.943 11.774 45.664 2.943 11.774 45.664 2.654 10.615 38.144 4 1.704 6.816 52.480 1.704 6.816 52.480 2.226 8.903 47.048 5 1.347 5.389 57.869 1.347 5.389 57.869 1.884 7.538 54.586 6 1.155 4.621 62.490 1.155 4.621 62.490 1.628 6.511 61.097 7 1.039 4.155 66.645 1.039 4.155 66.645 1.387 5.549 66.645 8 0.915 3.662 70.307 9 0.860 3.441 73.748 10 0.813 3.253 77.001 11 0.700 2.799 79.800 12 0.634 2.537 82.336 13 0.620 2.481 84.817 14 0.572 2.287 87.104 15 0.471 1.886 88.990 16 0.429 1.716 90.705 17 0.398 1.594 92.299 18 0.367 1.467 93.765 19 0.329 1.318 95.083 20 0.300 1.200 96.283 21 0.267 1.068 97.351 22 0.215 0.859 98.211 23 0.171 0.683 98.894 24 0.164 0.656 99.550 25 0.112 0.450 100.000 Table 3: FA of the original GDMS inventory with 25 items. ANNALES KINESIOLOGIAE • 13 • 2022 • 1 57 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 Table 4: Factor structure and factor loadings of the 25 items of the GDMS inventory. Rotated Component Matrixa Component 1 2 3 4 5 6 7 DMSRAT3 0.725 DMSRAT5 0,716 DMSRAT4 0.714 DMSRAT1 0.670 DMSRAT2 0.637 DMSAVO3 0.876 DMSAVO2 0.769 DMSAVO5 0.760 DMSAVO4 0.663 DMSSPO2 0.382 DMSINT2 0.871 DMSINT5 0.821 DMSINT1 0.797 DMSDEP1 0.788 DMSDEP4 0.679 DMSDEP3 0.671 DMSDEP2 0.636 DMSSPO3 0.801 DMSSPO1 0.735 DMSDEP5 0.613 DMSINT4 0.563 DMSAVO1 0.479 DMSSPO4 0.373 DMSINT3 0.746 DMSSPO5 0.662 Notes: DMSRAT1-5 = rational style items 1 to 5; DMSINT1 – 5 = intuitive style items 1 to 5; DMSDEP1 – 5 = dependent style item 1 to 5; DMSAVO1-5 = avoidant style items 1 to 5; DMSSPO1 – 5 = spontaneous style items 1 to 5. 58 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 ANNALES KINESIOLOGIAE • 13 • 2022 • 1 the original GDMS inventory model, are classified as different decision-making styles. With the exception of the rational style variables, all the other decision-making styles are related to this sixth factor. Projections of individual items in the sixth factor are lower than for the first five factors (factor loadings from 0.373 to 0.613). The sixth fac- tor explains 6.51% of the total variance of the rotated solution (Table 3) and can be na- med the “non-rational style” or “descriptive style”, as the variables associated with this factor measure all the decision-making styles from the original model with the excep- tion of the rational style. Items explaining this decision-making style deviate from the rational or normative model of decision-making, assuming that the decision-maker is entirely rational and fully follows the decision-making process. Observing this aspect, these items primarily belong to the descriptive rather than rational decision-making styles (Bohanec, 2001). The seventh factor is explained with two variables belonging to the intuitive and spontaneous decision-making styles. The projection of both variables in the seventh factor is relatively high (DMSINT3 = 0.746 and DMSSPO = 0.662) with the factor explaining 5.55% of the total variance (Table 3). The association of these two variables in the same factor is not surprising, as different authors have found statisti- cally significant correlations between the intuitive and spontaneous decision-making styles (Scott & Bruce, 1995; Thunholm, 2004; Spicer & Sadler-Smith, 2005; Wood, 2012; Verma, Rangnekar & Barua, 2012; Curşeu & Schruijer, 2012; Faletič & Avsec, 2013; Reyna, Ortiz & Revilla, 2014; Hariri, et al., 2014; Bavoľár & Orosová 2015; Berisha, et al., 2018; Geisler & Allwood, 2018). Based on this, it can be concluded that both styles have the same cognitive structure in the background, which could be named the intuitive-experiential cognitive style (Sagiv, Amit, Ein-Gar & Arieli, 2013; Alacreu- -Crespo, et. al, 2019). As Thunholm (2004) states, the spontaneous decision-making style could also be named the high-speed intuitive style due to the urgency of the deci- sion-making process. As a result, we have named the seventh factor the “high-speed” decision-making style. Since the scree plot diagram analysis revealed that it is possible to interpret the factor structure with only five factors (Table 3) and as the sixth and se- venth factors are unclear, we further checked how the variables are projected within the five-factor structure of the decision-making styles of sports managers. Table 5 shows the five-factor structure of the decision-making styles of Slovenian sports managers. The factor structure with a limited number of extracted factors (five) explains 57.87% of the total variance – 8.78% less than the full seven-factor model. This structure is also characterized by higher eigenvalues of all five extracted factors; also, a larger part of the total variance is explained than for the five factors within the seven-factor model (+ 3.30%). Eight items are projected onto the first factor, which explains 15.67% of the total variance. All the items measuring the avoidant decision- -making style in the original GDMS inventory are related to this factor (factor loadings 0.489 and 0.832). Furthermore, two variables measuring the spontaneous decision-ma- king style (DMSSPO4 = 0.541 and DMSSPO2 = 0.489) and a single variable mea- suring the dependent decision-making style (DMSDEP5 = 0.658) are also related to the first factor. In contrast, within the seven-factor solution, the variables DMSDEP5 and DMSSPO4 were connected to the sixth factor (non-rational style) and the variable ANNALES KINESIOLOGIAE • 13 • 2022 • 1 59 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 Table 5: Factor structure and factor loadings with a limited number of extracted factors. Rotated Component Matrixa Component 1 2 3 4 5 DMSAVO5 0.832 DMSAVO3 0.808 DMSAVO2 0.752 DMSDEP5 0.658 DMSAVO1 0.619 DMSSPO4 0.541 DMSAVO4 0.495 DMSSPO2 0.489 DMSRAT3 0.742 DMSRAT5 0.693 DMSRAT4 0.678 DMSRAT1 0.664 DMSRAT2 0.659 DMSINT2 0.858 DMSINT1 0.817 DMSINT5 0.788 DMSINT4 0.566 DMSDEP1 0.793 DMSDEP2 0.627 DMSDEP3 0.564 DMSDEP4 0.503 0.556 DMSSPO3 0.774 DMSSPO1 0.687 DMSINT3 0.686 DMSSPO5 0.435 Eigenvalues 3.918 3.436 2.762 2.335 2.017 % of Variance 15.672 13.744 11.048 9.339 8.066 60 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 ANNALES KINESIOLOGIAE • 13 • 2022 • 1 DMSSPO2 was connected with the lowest projection to the second factor (avoidant style). As the first factor includes all five variables measuring the avoidant style (DMSA- VO1 - 5), as well as a variable from a seven-factor model structure with a projection on the avoidant style factor (Table 4) and two variables with a projection on the sixth factor (non-rational style), it can be named the “avoidant style”. The second factor is explained with five items measuring the rational decision-making style (DMSRAT1 - 5). The projections of items on this factor are high for all five items (factor loadings from 0.659 to 0.742). The second factor explains 13.74% of the total variance and can be named the “rational style”. The third factor is explained with four items measuring the intuitive decision-making style (DMSINT1, 2, 4 and 5). The projections of items on this factor are moderate to very high (factor loadings from 0.566 to 0.858). The third factor explains 11.05% of the total variance and can be named the “intuitive style”. The fourth factor is, as in the seven-factor model, explained with four dependent decision- -making style variables (DMSDEP1, 2, 3 and 4). Projections of items on this factor are moderate to high (factor loadings from 0.556 to 0.793); the fourth factor explains 9.34% of the total variance and can be named the “dependent style”. The fifth factor is a combination of the fifth (spontaneous style) and seventh (high-speed style) factors from the seven-factor model structure. This factor is explained with three variables measuring the spontaneous decision-making style in the original model (DMSSPO1, 3 and 5) and a variable measuring intuitive style (DMSINT3), together explaining 8.07% of the total variance of the studied space. With the exception of the variable DMSSPO5, which has a slightly lower projection on the fifth factor (0.435), other variables have high projections (factor loadings from 0.686 to 0.774). The fifth factor is named the “spontaneous style”. In this way, the developed five-factor decision-making styles structure model forms individual factors or decision-making styles more clearly and, at the same time, establi- shes the same structure as the original GDMS inventory (Scott & Bruce, 1995), which was confirmed by other authors (Loo, 2000; Thunholm, 2004; Spicer & Sadler-Smith, 2005; Gambetti, et al., 2008; Curşeu & Schruijer; 2012; Avsec, 2012; Erenda, Meško & Bukovec; 2014; Bavoľár & Orosová, 2015; Alacreu-Crespo, et. al, 2019). Regardless of the increased clarity of the five-factor structure model, some variables are nevertheless distributed outside the predicted decision-making styles. Some other authors have also faced a similar problem with different samples; they named the variables that were not distributed among the factors in accordance with the intended model as “problematic items”. One such item, which in the resulting five-factor structure (Table 5), was not projected onto the factors in accordance with the original model, is DMSDEP5 (I like to have someone to steer me in the right direction when I am faced with important de- cisions) (Baiocco, Laghi, D´alesio, Gurrieri & Di Chiacchio, 2007; Fischer, Soyez & Gurtner, 2015; del Campo, Pauser, Steiner & Vetschera, 2016). This particular item did not project onto a dependent style factor in either seven-factor or five-factor structure models. Two further variables were also not projected onto a spontaneous style factor in either of the two models; namely, DMSSPO4 (I often make impulsive decisions) ANNALES KINESIOLOGIAE • 13 • 2022 • 1 61 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 and DMSSPO2 (I often make decisions on the spur of the moment) (Fischer, et al., 2015). In the continuation of the present study, we designed the “optimized structure model” by removing the mentioned variables from the structure of the decision-making styles of Slovenian sports managers. In order to balance the number of items for each decision-making style (four items per style), we also removed the variables that, in the five-factor structure model (Table 5), had the smallest projections on the avoidant style factor (DMSAVO4 - I generally make important decisions at the last minute) and the rational style factor (DMSRAT2 - I make decisions in a logical and systematic way). Both of these variables have also been characterized as problematic by other authors (Baiocco, et. al, 2007; Fischer, et al., 2015). Based on previous projections of the vari- able DMSINT3 (I generally make decisions that feel right to me) onto the high-speed (Table 4) and spontaneous (Table 5) styles, we assumed that in the continuation of the research, this variable would also have a high projection on the spontaneous decision- -making style. Table 6: Descriptive statistics and internal consistency of the optimized structure model of decision-making styles. Va ri ab le Po ss ib le r an g A ct ua l r an ge Mean St an da rd D ev ia tio n Sk ew ne ss K ur to si s C ro nb ac h α Va lu e % o f m ax im um DMS Rational 5–20 12–20 17.03 85.13% 1.736 -0.203 0.630 0.740 DMS Intuitive 5–20 4–18 12.43 62.13% 2.997 -0.591 0.258 0.775 DMS Dependent 5–20 9–20 15.28 76.38% 2.648 -0.087 -0.520 0.705 DMS Avoidant 5–20 4–14 7.18 35.88% 2.540 0.403 -0.706 0.814 DMS Spontaneous 5–20 5–17 12.56 62.81% 2.609 -0.575 0.051 0.609 Table 6 reveals no changes in the order of the average use of individual decision- -making styles, between the optimized structural model of the decision-making styles of Slovenian sports managers (20 items; 4 items per decision-making style) and the original GDMS inventory model (25 items, 5 items per decision-making style). The internal consistency, calculated using Cronbach’s alpha coefficient, was 0.637 for 62 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 ANNALES KINESIOLOGIAE • 13 • 2022 • 1 the overall scale and between 0.609 (DMS Spontaneous) and 0.814 (DSM Avoidant) for the five subscales. The reliability coefficients for the intuitive (DMS Intuitive α = 0.775), dependent (DMS Dependent α = 0.705) and spontaneous (DMS Spontaneous α = 0.609) subscales were higher in comparison to the original model, whilst the reli- ability coefficient was slightly lower for the rational style subscale (DMS Rational α = 0.740) and equal for the avoidant decision-making style subscale. The KMO measure of sampling adequacy was 0.646 (the required minimum is above 0.6) and the signifi- cance of Bartlett’s test of sphericity was 0.000 (p < 0.01) (Table 7). The results of both tests show that the studied sample is suitable for performing FA. Table 7: The Kaiser-Meyer-Olkin (KMO) test and Bartlett’s test of sphericity for the optimized model. KMO and Bartlett‘s Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy 0.646 Bartlett‘s Test of Sphericity Approx. Chi-Square 592.612 df 190 Sig. 0.000 The optimized structure with 20 items of the decision-making styles of Slovenian sports managers was verified by FA using the method of principal components with varimax rotation (Table 8). The FA procedure, based on Kaiser-Guttman’s criterion, extracted five (5) factors that cumulatively explained 61.60% of the total variance, which is 3.73% more than in the five-factor structure of the original GDMS Inventory with 25 items (Table 5). Table 9 shows the factor structure and factor loadings of the 20 items included in the optimized model inventory, obtained by the orthogonal rotation of the factors using the varimax method. Four avoidant style variables (DMSAVO1, 2, 3 and 5) are associated with the first factor (factor loadings from 0.618 to 0.859), together explaining 14.39% of the total variance (Table 8). This first factor can be named the “avoidant style”. The second factor is explained with four items measuring the intuitive decision-making style (DMSINT1, 2, 4 and 5). The projections of items on this factor are very high for three items (factor loadings from 0.803 to 0.856) and moderate for DMSINT4 (0.569). The second factor explains 13.45% of the total variance and can be named the “intuitive style”. The third factor is explained with four items measuring the rational decision-ma- king style (DMSRAT1, 3, 4 and 5). The projections of items on this factor are high for all four items (factor loadings from 0.661 to 0.754). The third factor explains 13.29% of the total variance and can be named the “rational style”. Four variables measuring ANNALES KINESIOLOGIAE • 13 • 2022 • 1 63 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 Table 8: FA of the optimized structure model inventory with 20 items. Total Variance Explained C om po ne nt Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings To ta l % o f Va ri an ce C um ul at iv e % To ta l % o f Va ri an ce C um ul at iv e % To ta l % o f Va ri an ce C um ul at iv e % 1 3.547 17.735 17.735 3.547 17.735 17.735 2.878 14.388 14.388 2 3.129 15.646 33.380 3.129 15.646 33.380 2.689 13.446 27.834 3 2.785 13.925 47.305 2.785 13.925 47.305 2.658 13.288 41.121 4 1.577 7.887 55.192 1.577 7.887 55.192 2.188 10.942 52.063 5 1.282 6.408 61.600 1.282 6.408 61.600 1.907 9.536 61.600 6 0.984 4.920 66.519 7 0.882 4.409 70.928 8 0.809 4.044 74.972 9 0.798 3.988 78.961 10 0.658 3.289 82.250 11 0.624 3.119 85.369 12 0.580 2.901 88.271 13 0.509 2.543 90.813 14 0.374 1.871 92.684 15 0.326 1.632 94.317 16 0.307 1.536 95.852 17 0.261 1.306 97.158 18 0.238 1.190 98.348 19 0.208 1.040 99.388 20 0.122 0.612 100.000 64 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 ANNALES KINESIOLOGIAE • 13 • 2022 • 1 Table 9: Factor structure and factor loadings of the optimized model inventory with 20 items. Rotated Component Matrixa Component 1 2 3 4 5 DMSAVO3 0.859 DMSAVO5 0.833 DMSAVO2 0.828 DMSAVO1 0.618 DMSINT2 0.856 DMSINT1 0.811 DMSINT5 0.803 DMSINT4 0.569 DMSRAT3 0.754 DMSRAT5 0.732 DMSRAT4 0.716 DMSRAT1 0.661 DMSDEP1 0.812 DMSDEP3 0.635 DMSDEP2 0.594 DMSDEP4 0.581 DMSSPO3 0.790 DMSINT3 0.705 DMSSPO1 0.677 DMSSPO5 0.433 ANNALES KINESIOLOGIAE • 13 • 2022 • 1 65 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 the dependent decision-making style have a projection on the fourth factor. The projec- tions of the variables on this factor range from moderate for the variables DMSDEP4 (0.581), DMSDEP2 (0.594) and DMSDEP3 (0.635) to very high for the variable DM- SDEP1 (0.812). The fourth factor explains 10.94% of the total variance and can be named the “dependent style”. The fifth factor combines three variables measuring the spontaneous decision-making style (DMSSPO1, 3 and 5) and a variable measuring the intuitive style (DMSINT3); this factor is identical to the fifth factor extracted in a five-factor structure with 25 items (Table 5). With the exception of the variable DMS- SPO5, which has a low but still satisfactory projection onto this factor (0.433), the other variables have high projections (factor loadings from 0.677 to 0.790). The fifth factor explains 9.54% of the total variance. Table 10: Correlations between the decision-making styles in the optimized structure model inventory with 20 items. Correlations DMS Rational DMS Intuitive DMS Dependent DMS Avoidant DMS Spontaneous DMS Rational 1 DMS Intuitive -0.143 1 DMS Dependent .348** 0.012 1 DMS Avoidant -0.211 0.020 0.175 1 DMS Spontaneous -0.087 .278* -0.036 -0.025 1 Notes: * p < 0.05; ** p < 0.01. Table 10 shows the correlations between the extracted factors within the optimized model of the decision-making styles of Slovenian sports managers. Correlation analysis showed that the rational and dependent decision-making styles are statistically signifi- cantly related at a 1% risk level. A statistically significant association at a 5% risk level was also found between the intuitive and spontaneous decision-making styles. Similar conclusions were also reached by other authors (Scott & Bruce, 1995; Thunholm, 2004; Spicer & Sadler-Smith, 2005; Baiocco, Laghi & Alessio, 2009; Wood, 2012; Verma, et al., 2012; Curşeu & Schruijer, 2012; Faletič & Avsec, 2013; Reyna, et. al., 2014; Hariri, et al., 2014; Bavoľár & Orosová 2015; Berisha, et al., 2018; Geisler & Allwood, 2018). These findings are consistent with the expectations; namely, both types of connections are characterized by the same cognitive style in the background, defining the manife- station of the aforementioned styles. Thus, the rational and dependent decision-making styles have a background in the rational-analytical cognitive style, while the intuitive 66 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 ANNALES KINESIOLOGIAE • 13 • 2022 • 1 and spontaneous decision-making styles have a background in the intuitive-experiential cognitive style (Sagiv et. al, 2013; Alacreu-Crespo et al., 2019). DISCUSSION The decision-making style focuses attention on how an individual obtains, uses and interprets information. Thunholm (2004) defined a decision-making style as a response pattern that an individual shows when faced with a decision problem. This response pattern depends on the decision situation, the decision problem and the decision maker. Faletič and Avsec (2013) stated that although the nature of the problem and the situati- onal factors play an important role in decision-making, we can assume that individuals differ in the frequency of using individual decision-making styles regardless of the decision-making problem. Managers’ decision-making styles contribute significantly to their individual performance and thus to the performance of organizations (Abdel- salam, Dawoud & ElKadi, 2013); therefore, as pointed out by Rowe and Boulgarides (1992), they need to be measured, because decision-making styles should form the backbone of effective decision-making. The present study deals with determining the structure of the decision-making styles of Slovenian sports managers. The GDMS Inventory (Scott & Bruce, 1995) with a five- -factor structure was used to measure decision-making styles. After three successive implementations of FA using the method of principal components with the orthogonal rotation of factors using the varimax method, we developed a five-factor model of decision-making styles with 20 items. The results and a comparison of the individual obtained models are presented in Table 11. Table 11 shows the basic characteristics of all three studied factor models. In all three models, the first five extracted factors form the original structure of the model de- veloped by Scott and Bruce (1995), which was confirmed by the authors earlier menti- oned. The developed optimized structure model inventory includes 20 items measuring the avoidant, intuitive, rational, dependent and spontaneous decision-making styles. This model has relatively good internal consistency, both at the level of the entire mo- del and at the level of the individual decision-making styles. Individual factors also explain the variance of the space of decision-making styles in a more balanced way compared to the other two models with 25 items. Another advantage of the developed optimized model is the balanced number of items measuring the individual decision- -making styles, allowing us to determine a clearer structure of decision-making styles, both at the level of the individual decision-maker and at the level of the entire sample. In all three factor models, the rational, avoidant and dependent styles showed the gre- atest stability of the structure of the included items. The stability of the intuitive style was relatively good, while the spontaneous style scale proved to be very unstable and problematic (Fischer et. al, 2015). Based on the optimized structure model inventory, we calculated the structure of the decision-making styles of Slovenian sports managers (Table 6), confirming that when ANNALES KINESIOLOGIAE • 13 • 2022 • 1 67 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 Ta bl e 11 : B as ic c ha ra ct er is tic s o f a ll th re e fa ct or m od el s o f t he d ec is io n- m ak in g st yl e st ru ct ur e of S lo ve ni an sp or ts m an ag er s. Solution 7- fa ct or s s ol ut io n 5- fa kt or so lu tio n O pt im iz ed st ru ct ur e m od el in ve nt or y (2 5 ite m s) (2 5 ite m s) (2 0 ite m s) % o f va ri an ce 66 .6 45 % 57 .8 69 % 61 .6 00 % Extracted factors (decion-making styles) Factor name No of items % of variance α Factor name No of items % of variance α Factor name No of items % of variance α R at io na l s ty le 5 13 .9 2% 0. 77 7 Av oi da nt st yl e 8 15 .6 7% 0. 82 8 Av oi da nt st yl e 4 14 .3 9% 0. 81 4 Av oi da nt st yl e 5 13 .6 1% 0. 81 0 R at io na l st yl e 5 13 .7 4% 0. 77 7 In tu iti ve st yl e 4 13 .4 5% 0. 77 5 In tu iti ve st yl e 3 10 .6 1% 0. 82 4 In tu iti ve st yl e 4 11 .0 5% 0. 77 5 R at io na l st yl e 4 13 .2 9% 0. 74 0 D ep en de nt st yl e 4 8. 90 % 0. 70 5 D ep en de nt st yl e 4 9. 34 % 0. 70 5 D ep en de nt st yl e 4 10 .9 4% 0. 70 5 Sp on ta ne ou s st yl e 2 7. 54 % 0. 69 7 Sp on ta ne ou s st yl e 4 8. 07 % 0. 60 9 Sp on ta ne ou s st yl e 4 9. 54 % 0. 60 9 N on -r at io na l st yl e 4 6. 51 % 0. 60 2 H ig h sp ee d st yl e 2 5. 55 % 0. 41 3 68 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 ANNALES KINESIOLOGIAE • 13 • 2022 • 1 making decisions, sports managers use a combination of all five decision-making styles (Scott & Bruce, 1995; Thunholm, 2004; Avsec, 2012; Faletič & Avsec, 2013). Slove- nian sports managers mostly use the rational (Atilgan & Kaplan, 2022) and dependent decision-making styles, indicating that they are mostly rational decision-makers. Rati- onal decision-makers characteristically follow a decision-making process involving the critical evaluation of evidence and a structured process that requires time and conscious effort before making and implementing decisions (Fitzgerald, Mohammed & Kremer, 2017). Rational and intuitive decision-making styles are defined as functional decision- -making styles, the use of which leads to various positive outcomes (Faletič & Avsec, 2013; Alacreu-Crespo, et. al, 2019). In contrast to a number of other studies, in our sample, the dependent decision-making style emerged as the second most used style (Spicer & Sadler-Smith, 2005; Curşeu & Schruijer, 2012; Erenda, Meško & Bukovec, 2014; Alacreu-Crespo et al., 2019; El Othman et. al, 2020). The dependent decision- -making style has a statistically significant positive correlation with emotional (seeking moral support) and instrumental social support (seeking advice, help and information from others). Connection with both aspects of support indicates that individuals who predominantly use the dependent decision-making style, seek support within their envi- ronment for the decision-making processes (Alacreu-Crespo et al., 2019). However, it has to be emphasized that the dependent style is not necessarily dysfunctional, as it also correlates with positive outcomes when it is defined on the basis of behaviour, such as seeking advice and support and not shifting responsibility to others (Faletič & Avsec, 2013; Fischer et. al, 2015). Frequent use of the dependent decision-making style in Slovenian sports managers is probably related to specific characteristics for this type of organization (Young, 1998; Kolar & Jurak, 2014). Sports managers mostly work in in- terest-type associations, where the interests of various participants and stakeholders (at- hletes, volunteers, employees, associations, the state, local communities, sponsors, etc.) overlap or are even in conflict. Managers need to constantly coordinate and consider all these interests in the decision-making processes in order to achieve the organization’s strategic and operational goals (Parent, 2010). In these organizations, there is also a “unique” governmental-managerial process, led by a committee of elected volunteers (governmental organizational function) who form very sensitive relations with the pro- fessional (management) staff (Young, 1998; Kikulis, Slack & Hinings, 1995). When re- gulating this process, the managers are in a subordinate position, as they are appointed by the governmental function and therefore need to act in accordance with the interests of the government. In order to avoid a conflict between the managerial and governmen- tal structures, the managers depend on the opinions, directions and decisions of the government, otherwise the negative consequences would mostly be reflected on the managers. The structure of decision-making styles also shows that sports managers use an intuitive and spontaneous decision-making style to a lesser extent, which means that they are less likely to make decisions quickly, unconsciously and based on experience (Simon, 1987; Epstein, 1994; Kahneman, 2003; Dane & Pratt, 2007). This is probably also related to the aforementioned specifics of this type of organization. Sports mana- gers use an avoidant decision-making style least often or to a negligible extent, which ANNALES KINESIOLOGIAE • 13 • 2022 • 1 69 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 is good, because this decision-making style is defined as pathological and dysfunctional and, as such, does not lead to decisions (Mitchell, Shepherd & Sharfman, 2011; Faletič & Avsec, 2013). Finally, it is necessary to mention the recognized connection between the rational and the dependent styles, which are together also classified as a non-functional deci- sion-making style. Since the structure of the decision-making styles in our sample is dominated by the rational decision-making style, we could conclude that this forms a dependent-rational decision-making style, which can be characterized as functional (Faletič & Avsec, 2013; Fischer et. al, 2015). It is typical for such decision-makers to seek advice, opinions and knowledge from colleagues when making decisions, thus using the dependent style and increasing the rationality of their decisions (Vroom, 2003; Khasawneh, Alomari & Abu-tineh, 2011). Such an understanding is in accor- dance with the theory of extended rationality (Secchi, 2010), where a decision-maker reduces the influence of the limitations of rationality, which arise from an individual’s abilities to acquire and process information (Simon, 1976). CONCLUSION The decision-making process of managers has an important impact on the deve- lopment and growth of sports organizations; therefore, the knowledge of the way mana- gers make decisions is very important. In the present study, we found that the structure of the decision-making styles of Slovenian sports managers is formed as a combina- tion of five decision-making styles, with the rational and dependent decision-making styles being predominant. We can conclude that the recognized average structure of decision-making styles is functional and healthy; furthermore, Slovenian sports mana- gers are, on average, rational decision-makers who, due to the specific organizational characteristics of sports organizations, look for confirmation and opinions on future decisions in the broader environment of the organizations’ stakeholders. This study also developed an instrument for measuring the decision-making styles of sports managers, which assumes a five-factor structure of decision-making styles and is consistent with the GDSM Inventory developed and proposed by Scott and Bruce (1995). By using the questionnaire, it is possible to predict the behaviour of individual decision-makers in decision-making situations, which can be an important tool when choosing a manager for an individual sports organization or placing them in the overall organizational struc- ture of a sports organization. Limitations of the Study There are some limitations that should be considered for a more valid understanding of the results obtained. The participants completed the questionnaire online and this may have influenced the results. The study could be improved with a larger sample, 70 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 ANNALES KINESIOLOGIAE • 13 • 2022 • 1 which means that we need to be careful when generalizing the results to the entire po- pulation of sports managers. REFERENCES Abdelsalam, H. M., Dawoud, R. H. & ElKadi, H. A. (2013). An examination of the decision-making styles of egyptian managers. In S. Saeed, M. A. Khan & R. Ahmad (Eds.), Business Strategies and Approaches for Effective Engineering Management (pp. 219-236). USA, Pennsylvania, Hershey: Business Science Reference. https://doi. org/10.4018/978-1-4666-3658-3.ch013. Alacreu-Crespo, A., Fuentes, M.C., Abad-Tortosa, D., Cano-Lopez, I., Gonzalez, E. & Serrano, M.A. (2019). Spanish validation of General Decision-Making Style sca- le: Sex invariance, sex differences and relationship with personality and coping style. Judgment and Decision Making, 14(6), 739-751. Retrieved from https://sjdm.org/ journal/19/190621a/jdm190621a.pdf Andrew, P.S.D., Pedersen, P.M. & McEvoy, C.D. (2010). Research Methods and Design in Sport Management. USA, Champaign, IL: Human Kinetics. Atılgan, D., & Kaplan, T. (2022). Investigation of the relationship among crisis manage- ment, decision-making and self-confidence based on sports managers in Turkey. Journal of Sport Sciences Researches, 7(1), 49-67. Avsec, A. (2012). Do emotionally intelligent individuals use more adaptive decision-mak- ing styles? Studia Psychologica, 54(3), 209-219. Baiocco, R., Laghi, F., D’Alessio, M., Guerrieri, G., & Di Chiacchio, C. (2007). Gli stili nella presa di decisione in adolescenza: quale rilevanza nella pratica orientativa. Psico- logia dell’educazione e formazione, 9(1), 67-98. Baiocco, R., Laghi, F. & D’Alessio, M. (2009). Decision-making style among adolescents: Relationship with sensation seeking and locus of control. Journal of Adolescence, 32, 963-976. Barros, C., & Lucas, J. (2001). Sports managers and subsidies. European Sport Manage- ment Quarterly, 1(2), 112-123. Bavoľár, J. & Orosová, O. (2015). Decision-making styles and their associations with de- cision-making competencies and mental health. Judgment and Decision Making, 10(1), 115-122. Berisha, G., Pula, J. S. & Krasniqi, B. (2018). Convergent validity of two decision mak- ing style measures. Journal of Dynamic Decision Making, 4(1), 1-8. Bohanec, M. (2001). What is Decision Support? https://www.researchgate.net/publication/ 248421433_What_is_Decision_Support Bohanec, M. (2012). Odločanje in modeli. Ljubljana: DMFA – založništvo. Case, R., & Branch, J. (2003). A Study to Examine the Job Competencies of Sport Facility Managers. International Sports Journal, 7(2), 25. Curşeu, P.L. & Schruijer, S.G.L. (2012). Decision Style and Rationality: An Analysis of Predictive Validity of the General Decision-Making Style Inventory. Educational and Psychological Measurement, 72(6), 1053-1062. Daft, L.R. (2008). Organization Theory and Design (10th Edition). USA, Ohio: South- Western Cengage Learning. ANNALES KINESIOLOGIAE • 13 • 2022 • 1 71 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 Daft, L.R. (2010). Management (9th Edition). USA, Ohio: South-Western Cengage Learning. Dane, E.I., & Pratt, M.G. (2007). Exploring intuition and its role in managerial decision- making. Academy of Management Review, 32(1), 33-54. de Winter, J.C.F, Dodou, D. & Wieringa, P.A. (2009). Exploratory Factor Analysis Small Sample Sizes. Multivariate Behaviour Research, 44(2), 147-181. del Campo, C., Pauser, S., Steiner, E., & Vetschera, R. (2016). Decision making styles and the use of heuristics in decision making. Journal of Business Economics, 86(4), 389–412. https://doi.org/10.1007/s11573-016-0811-y Driver, M. J. (1979). Individual decision-making and creativity. V S. Kerr (Ur.), Organiza- tional behavior. USA, Ohio, Columbus: Grid Publishing. El Othman, R., El Othman, R., Hallit, R., Obeid, S. & Hallit, S. (2020). Personality traits, emotional intelligence and decision-making styles in Lebanese universities medi- cal students. BMC Psychology 8(46), 1-14. https://doi.org/10.1186/s40359-020-00406- 4 Epstein, S. (1994). Integration of cognitive and the psychodynamic unconscious. American Psychologist, 49(8), 709-724. Erenda, I., Meško, M. & Bukovec, B. (2014). Intuitive decision-making and leadership competencies of managers in Slovenian automotive industry. Journal of Universal Ex- cellence, 3(2), 87-101. Faletič, L. in Avsec, A. (2013). Stili odločanja kot napovednik psihičnega blagostanja. An- thropos, 3-4(231-232), 129-149. Fischer, S., Soyez, K. & Gurtner, S. (2015). Adapting Scott and Bruce’s General Decision- Making Style Inventory to Patient Decision Making in Provider Choice. Medical Deci- sion Making, 35(4), 525-532. Fitzgerald, D.R., Mohammed, S. & Kremer, G.O. (2017). Differences in the way we de- cide: The effect of decision style diversity on process conflict in design teams. Personal- ity and Individual Differences, 104, 339–344. Gambetti, E., Fabbri, M. Bensi, L. & Tonetti, L. (2008). A contribution to the Italian validation of General Decision-Style Inventory. Personality and Individual Differences, 44(4), 842-852. Geisler, M. & Allwood, C.M. (2018). Relating Decision-Making Styles to Social Orienta- tion and Time Approach. Journal of Behavioral Decision Making, 31, 415-429. Ghazi, A.M.A. & Hu, W. (2016). Impact of Individual Decision-Making Styles on Market- ing Information System Based Decision-Making: An Empirical Study of Saudi Arabia Manufacturing Firms. Journal of International Business Research and Marketing, 1(3), 27-39. Hariri, H., Monypenny, R. & Prideaux, M. (2014). Leadership styles and decision-mak- ing styles in an Indonesian school context. School Leadership and Management, 34(3), 284-298. Harren, V.A. (1979). A model of career decision-making for college students. Journal of Vocational Behavior, 14, 119–133. Heller, R. & Hindle, T. (2001). Veliki poslovni priročnik. Ljubljana: Založba Mladinska knjiga. Hunt, R.G., Krzystofiak, F.J., Meindl, J.R. & Yousry, A.M. (1989). Cognitive style and decision making. Organizational Behavior and Human Decision Processes, 44, 436-453. Kahneman, D. (2003). A Perspective on Judgment and Choice. American Psychologist, 58(9), 697–720. 72 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 ANNALES KINESIOLOGIAE • 13 • 2022 • 1 Khasawneh, S., Alomati, A & Abu-tineh, A. (2011). Decision-Making Styles of Depart- ment Chairs at Public Jordanian Universities: A high-expectancy workforce. Tertiary Education and Management, 17(4), 309-318. Kikulis, L.M., Slack, T. & Hinings, B. (1995). Does decision making make a difference? Patterns of change within Canadian national sport organizations. Journal of Sport Man- agement, 9(3), 273-299. Klein, M. in Mathlie, L.B. (1992). Expert Systems, A Decision Support Approach. (With applications in management and finance). England, Wokingham: Addison-Wesley Com- pany Ltd. Kolar, E. & Jurak, G. (2014). Strateški management športnih organizacij. Koper: Znanst- veno-raziskovalno središče, Univerzitetna založba Annales. Krasniqi, B.A., Berisha, G. & Pula, J.S. (2019). Does decision-making style predict man- agers’ entrepreneurial intentions? Journal of Global Entrepreneurship Research, 9(68), 1-15. Loo, R. (2000). A psychometric evaluation of the General Decision-Making Style Inven- tory. Personality and Individual Differences, 29(5), 895-905. Mitchell, J.R., Shepherd, D.A. & Sharfman, M.P. (2011). Erratic Strategic Decisions: When and Why Managers are Inconsistent in Strategic Decision Making. Strategic Management Journal, 32, 683-704. Nygren, T.E. (2000). Development of a measure of decision making styles to predict per- formance in a dynamic J/DM task. Paper presented at the 41st Psychonomic Society Meetings, New Orleans, LA. Parent, M. M. (2010). Decision Making in Major Sport Events Over Time: Parameters, Drivers, and Strategies. Journal of Sport Management, 24(3), 291-318. https://doi. org/10.1123/ jsm. 24.3.291 Remenova, K. & Jankelova, N. (2019). How Successfully can Decision-Making Style Pre- dict the Orientation toward Well- or Ill-Structured Decision-Making Problems. Journal of Competitiveness, 11(1), 99–115. Retar, I., Plevnik, M., & Kolar, E. (2013). Key competences of Slovenian sport managers. Annales kinesiologiae, 4(2), 81-94. Reyna, C., Ortiz, M.V. & Revilla, R.G. (2014). Exploratory structural equation modelling of general decision-making style inventory. Revista de Psicologia, 23(1), 33-39. Rowe, A.J., & Mason, O.R. (1987). Managing with style: A guide to understanding, assess- ing, and improving decision making. San Francisco, California: Jossey-Bass. Rowe, A.J. & Boulgarides, J.D. (1992). Managerial decision making: A guide to success- ful business decisions. USA, New York: McMillan. Rowe, A. J., Boulgarides, J. D., & McGrath, M. R. (1984). Managerial decision making. USA, Chicago, IL: Science research associates. Rozman, R. & Kovač, J. (2012). Management. Ljubljana: Založba GV. Sagiv, L., Amit, A. Ein-Gar, D. & Arieli, S. (2014). Not All Great Minds Think Alike: Systematic and Intuitive Cognitive Style. Journal of Personality, 82(5), 402-417. Santos, J.M., Batista, P. & Carvalho, M.J. (2022). Framing sport managers profile: A systematic review of the literature between 2000 and 2019. Sport TK-EuroAmerican Journal of Sport Sciences, 11 (Article 24). Scott, S.G. & Bruce, R.A. (1995). Decision-making style: the development and assessment of a new measure. Educational and Psychological Measurement, 55(5), 818–831. ANNALES KINESIOLOGIAE • 13 • 2022 • 1 73 Edvard KOLAR, Matej TUŠAK: DECISION-MAKING STYLE STRUCTURE OF SLOVENIAN SPORTS MANAGERS , 47–73 Secchi, D. (2010). Extendable Rationality. Understanding Decision Making in Organiza- tions. USA, New York: Springer Publishing. Simon, H.A. (1960). The New Science of Management Decision. USA, New York: Ameri- can Book – Stratford Press, Inc. Simon, H.A. (1976). From substantive to procedural rationality. V S. J. Latsis (Ed.), Meth- od and Appraisal in Economics (str. 129-148). USA, New York: Cambridge University Press. Simon, H.A. (1987). Making management decision: The role of intuition and emotion. Academy of Management Executive, 1, 57-64. Spicer, D.P. & Sadler-Smith, E. (2005). An examination of the general decision making style questionnaire in two UK samples. Journal of Managerial Psychology, 20(2),137- 149. Tabachnick, B. G. & Fidell, L.S. (2007). Using multivariate statistics (5th edition). Bos- ton: Pearson Education. Taber, K.S. (2018). The Use of Cronbach’s Alpha When Developing and Reporting Re- search Instruments in Science Education. Research in Science Education, 48, 1273- 1296. Tavčar, M. & Trunk Širca, N. (2002). Na poti k učeči se organizaciji. Ljubljana: Visoka šola za management v Kopru in Šola za ravnatelje Ljubljana. Thunholm, P. (2004). Decision-making style: Habit, style or both? Personality and Indi- vidual Differences, 36, 931–944. Tomić, M. (2007). Sportski menadžment. Beograd: Fakultet sporta i fizičkog vaspitanja. Verma, N., Rangnekar, S. & Barua, M.K. (2012). Decision making style of executives in India. The Journal of Sri Krishna Research & Educational Consortium, 3(4), 38-49. Vroom, V.H. (2003). Educating managers for decision-making and leadership. Manage- ment Decision, 41(10), 968–978. Wood, N.L. (2012). Individual differences in decision-making styles as predictors of good decision making. (Master Thesis). Bowling Green: [N.L. Wood]. Young, D. R. (1998). Nonprofit Management Studies in the United States: The state of the Art. European Journal for Sport Management, 5(2), 30–44.