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GENDER ROLES IN THE FIELD OF

SUCCESSFUL LEADERSHIP

Linda Martić Kuran, univ. spec. oec.*

Polytechnic ”Marko Marulić” in Knin, Knin, Croatia

Lidija Bagarić, PhD

Faculty of Tourism and Hospitality Management, Opatija, Croatia

Ana Marija Baković

Polytechnic ”Marko Marulić” in Knin, Knin, Croatia

Original Scientific paper Manuscript Received July 8th 2019

Manuscript Accepted 15th August 2020

ABSTRACT

Communication is considered to be a learned behaviour developed by the process of socialization, that is, the combination of education, genetic predisposition and stimulation of the environment. Men and women communicate in different ways for various reasons and differences in communication between genders are expressed in the content, style and structure of communication. In a business sense, in order to create a productive environment, different communication styles in gender have to be taken into account as well as the interpretation of the same. Factors contributing to gender differences in business conditions are of the great importance for successful communication and the goal of the work is to identify differences in communication between men and women, does that affect their business performance and examine their correlation with leadership styles as well as to provide useful communication strategies and to articulate them better in the future. In order to fulfil the objectives of the work, a survey was conducted on a sample of 34 executives (both sexes equally) in the territory of the Republic of Croatia. The conclusion of the paper discusses the results obtained. The research results may be useful for further research in the field of gender differences in the style of communication and leadership.

* Address correspondence to Linda Martić Kuran, univ. spec. oec., Polytechnic ”Marko Marulić” in Knin, Knin, Croatia. E-mail: linda.martic@veleknin.hr

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Key words: gender, business communication, style of communication, leadership style,

gender differences.

JEL classification: M12, M14, M54

INTRODUCTION

A conversation is a necessity in everyday life. It refers to the activity that consists of interlocutors involved in some form of communication. The field of business communication is a key segment of business success in today’s world. The significance of communication skills is not only a means but a way of work of the modern organization (Drucker, 2005). The problems of motivation, fluctuation, absenteeism, lack of innovation and low work performance are often the consequence of poor or insufficient communication (Bahtijarević-Šiber et al., 2008). One of the most common obstacles in communication, according to Wood (2001), is a gender role and the solution to its overcoming is the identification of male and female communication patterns. Gender is a category used as an analytical term by which it is possible to determine all those elements, roles, behaviors, attributes that a particular society attributes to the female or male sex (Rupčić, 2018), and certain patterns of behavior are more related to a gender identity rather than to the biological gender. In academic communities, in the field of communication, in most cases, the term gender differences is commonly used because scientists want to emphasize that differences are not based solely on biology but on the continuity of psychological, social and interactive features (Pearson and Cooks, 1994). The staff gender can illustrate the differences in the perception of organizational structure, problem-solving style and workplace conflict (Ritwo et al., 1994). One of the factors contributing to the differences in communication between the genders is certainly gender segregation, that is, stereotypes that women should behave as “women” and men as “men”. Gender stereotypes also affect the perception of the style of communication, so the same behavior is observed differently by women and men (Eagly and Wood, 1982). Individual differences in self-assessment also contribute to the variations in gender representation and it is not surprising that, for example, more traditional men behave more expressively in communication than those less traditional (Ickes and Barnes, 1977). The factors of organizational culture are also those that affect the level of gender diversity in communication in business

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there is no clear and universal set of differences, and some research does not even find measurable differences in the styles of communication between men and women, but these roles are observed solely in situations (Bass, 1981, Powell, 1990; Hyde, 2005). This research focuses on the factors that contribute to gender differences in business conditions and which, in the opinion of the authors, have a great influence on a leadership style and are of great importance for improving communication strategies and which relate to concepts and theories: hesitation in communication, communication breaks, communication directivity, tonality of communication, length of conversation, as well as bringing emotions into communication.

GENDER PATTERNS IN LEADERSHIP STYLE AND COMMUNICATION

Leadership and decision making styles, according to Žugaj and Cinguli (1992), are a key element in shaping the organizational culture of enterprises, people management, planning, organizing and evaluating the results achieved. Leadership is one of the segments of leading, with emphasis on motivation, interpersonal processes and communication (Buble, 2000). It is an attitude, as well as an action, and it can best be described as the process where one person influences another in achieving a common goal. Leadership is an interaction, by its nature, under the influence of intrapsychological processes, including the orientation of gender roles and attitudes and values associated with these roles. Gender, race, class, and other elements of social differences play an important role in the development of leadership style, including education, work experience, culture and personality. Different styles of organization leadership directly reflect the character, content and style of business communication in the organization (Martić Kuran and Jelić, 2014). They attract scientists’ attention in the 1990s when they were trying to identify styles specifically adapted to more contemporary conditions. There are different approaches to the definition of leadership styles in the scientific literature. According to Drucker (1999), the way a leader communicates with a team can determine the way employees work. Leadership styles are perceived by some leaders as a strategic choice, and in that context, instead of choosing only one style, they adjust their leadership style. Also, the awareness of the factors associated with leadership styles is of great importance in order to improve business efficiency. Research has shown that the most successful leaders have strengths in the following competences of emotional intelligence self-awareness, self-control, motivation and social skills (Cetin et al., 2012). The relationship between the gender

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role and a leadership style, in most studies, starts from the assumption that the gender role is an important personality trait that has a great influence on leadership style. In the 1990s, women, not accepting the style of leadership characteristic to men, began to develop their own style, colloquially called female style. The female leadership style is generally described as interpersonally-oriented, charismatic and democratic (Freeman and Varey, 1997), while the male leadership style is goal-oriented (Oshagbemi and Gill, 2003). According to Shakeshaft (1993), the differences between the genders do not mean that one approach is right and the other one wrong but they help us understand that men and women have different perspectives, and if those differences are not understood, it is more likely that there will be problems in communication. McCluskey (1997) defines leadership as an individually developed communication skill and behavior of a person and believes that individual communication styles are based not on gender differences but on the socialization of an individual. The main idea of previous research (Pillon and Lafontaine, 1988) is that conversations are generally managed and controlled by men. Women, on the other hand, are considered to be particularly attentive interlocutors. According to Hyde (2005), women are more hesitant in communication patterns such as repetition of the same words or phrases, pauses, and “false beginnings”. Rijavec and Miljković (2002) assume that the more pauses the person makes and more hesitant he/she is, it is more likely that he/she finds the subject of the conversation embarrassing, emotionally charged or that the person just feels insecure. LaFrance and Vial (2016) argue that hesitation depends on the status and power of the person regarding communication, but not gender. Hesitation can be interpreted as insecurity, but also as encouraging interpersonal communication to get more information or to achieve a better understanding of it. Robinson and Smith - Lovin (1992) see hesitation in women as a courtesy form, while in men the situation is opposite. Pauses in communication are also one of the ways in which differences can be expressed. By definition, a pause in communication is a model of an ideal turnaround in which every interlocutor has the right and possibility to reach the end of the speech unit. Or, according to Sapabsri et al. (2018), it would be a linguistic strategy for achieving domination, as interrupting in communication is nothing else but a deprivation or an attempt to deprive the right to speak. In most research, men interrupt conversations more than women (Hall, 1984), and according to Zimmerman and West (1983), men interrupt women and control the subject of conversation in the same way an adult controls the conversation with a child.

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In the Tamuang (2012) survey, men interrupt women to express their intentions, but also to show their domination. Women make interruptions when communicating with other women (Aries 1996), while Tannen (1994) notes that the level of interruption in female groups is higher than in mixed groups. These interruptions can be of a different type, such as “overlapping” because the conversation can run simultaneously but not to change the direction of communication or interrupt the interlocutor, but rather as a support in order to establish relationships rather than a confirmation of power or disagreement. Women more often than men allow interruptions in conversation and do not resist, where men are more aggressive (Weiss and Fisher, 1998), but also more stubborn. Men are more direct in communication (Case, 1988), and women, according to Tannen (1990) alleviate their demands and statements. Women are often indirect and use incomplete sentences in communication (Coates, 1989; Mquiston and Morris, 2009). At the same time, they avoid direct answers and sincerity, both in the sent and received messages (Kučan, 2015). Men have a tendency to speak directly, in a confronting manner, egotistically and in a self-aggrandizing way, while women speak indirectly, informally, collaboratively and modestly (Weiss and Fisher, 1998). Women use various forms of intonation and are characterized by excitatory and interrogatory intonation expressed in rising tones (Orazbekova et al., 2015). Women rise the tone of voice at the end of the sentence as a sign of support or a wish that another person does not suffer from discomfort (Hyde 2005). Men increase tone in an attempt to control communication (Leaper and Ayres 2007). Contrary to stereotypes about women, men generally talk more in business situations (Kollock et al., 1994; Tannen, 1994). Women are more focused on maintaining relationships and are prone to listening (Žižak et al., 2012), and are also more cautious, thus giving the impression that men are more confident and more capable (Lakoff, 1975). Men communicate in a more abstract way, speaking indefinitely and generally, while women are not hesitant to talk about details in order to involve others into communication as well. Moreover, women always try to engage interlocutors in conversation while men are more likely to use jokes, slang, and topics that involve aggression and violence (Bošković, 2013). Women talk about personal topics such as family, emotion and friendship (Schaef, 1985) as well as about personal problems (Gray, 1992) and prefer to participate in personal and emotional conversations. Men are more inclined to keep their personal feelings and moods for themselves and refrain from expressing them. Much of the male interaction is devoted to proactive behavior (giving opinions, suggestions and information), and female to reactive behavior (agreeing and disagreeing) (Aries, 1982). Based on the above assumptions, the following hypotheses have been developed. Below is the table with the proposed

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basic hypotheses and the corresponding statistical methods of their verification (Table 1):

Table 1. Research hypotheses and statistical methods for their verification

Hypothesis Description Relationships testing

H1 It is assumed that in communication women

will be more hesitant than men. t-test / ANOVA H2 It is assumed that during communication

men make pauses more often than women. t-test / ANOVA H3 It is assumed that men are more direct in

communication than women. t-test / ANOVA H4 It is assumed that women use a more

posi-tive tone in communication than men. t-test / ANOVA H5 It is assumed that men talk more than

women. t-test / ANOVA

H6 Women are warmer and more emotional in

communication than men. t-test / ANOVA

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RESEARCH METHODOLOGY

The research methodology is presented through the aims and hypotheses of the research, sample and the data collection and the methods of statistical analysis. For the purpose of this paper, the research was conducted on a sample of 34 leaders (both sexes alike) in the territory of the Republic of Croatia. The data collection was conducted through January 2019 in business entities of various industries. As a way of selecting the units in the sample, the deliberate sampling was used and within it, a convenience sampling was used. The method of personal questioning, i.e. interviewing was used. The survey questionnaire consisted of 22 statements/questions based on a review of relevant literature, as well as on the available research on gender differences. In the questionnaire, structured questions with multiple choice were used, namely the Likert scale of 5 degrees. Respondents were offered statements/questions and were asked to express their degree of agreement or disagreement. Degrees were coded in numbers from 1 to 5, where 1 indicates absolute disagreement, and 5 the absolute agreement. The statistical package “SPSS 20” was used to process the collected data. The analysis and interpretation of the results of the conducted empirical research are based on applied statistical methods suitable for the analysis of the obtained data. For the purpose of hypotheses testing, the following data analyses were used: Cronbach alpha, descriptive statistical analyses, t-test and ANOVA.

RESEARCH RESULTS

The survey involved 34 adult respondents who filled out the questionnaire independently after receiving the instructions from the researchers. The sample consisted of 17 female and 17 male respondents. According to the degree of education, most respondents have high qualifications and more than that. The reliability of the scale is analyzed by the Cronbach alpha coefficient. The Cronbach alpha coefficient indicates whether there is a correlation between the selected variables, it is the measure of the internal consistency of the set of statements, and may reach a value between 0 and 1; as it is closer to 1, a more reliable scale of measurements is (Martić Kuran and Mihić, 2014). In this paper, and according to the consistency scale of 0.51 the Cronbach alpha coefficient is 0.715. Such a result is considered to be satisfyingly reliable (Table 2).

1 The suggested boundary value of the Cronbach alpha coefficient in exploratory research is 0.5 (Breugelmans, Lievens and Bloemer, 2004).

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Table 2. Cronbach alpha reliability coefficient

Cronbach Alpha N

,715 22

Source: Authors’ work

The results of the descriptive statistics are shown in Table 3. The mean values are given2 and standard deviations3.

Table 3. Descriptive statistics

N = 34 M SD M F M F T1. 3,00 2,82 1,225 1,237 T2. 3,47 3,53 1,179 0,943 T3. 3,65 3,47 0,931 0,943 T4. 4,24 2,41 0,562 0,870 T5. 3,35 3,76 0,931 0,903 T6. 3,06 4,18 1,391 0,809 T7. 2,47 2,65 1,125 0,996 T8. 3,35 4,29 0,931 0,920 T9. 3,53 3,12 1,068 1,111 T10. 3,94 3,29 1,029 1,047

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T11. 3,00 3,35 1,001 0,862 T12. 3,41 4,41 0,870 0,618 T13. 3,12 4,41 1,166 0,618 T14. 3,29 4,18 0,985 0,728 T15. 3,59 4,35 0,618 0,702 T16. 3,41 3,65 0,939 0,931 T17. 3,53 3,29 0,800 1,105 T18. 2,94 2,76 1,197 0,970 T19. 3,29 3,41 0,920 1,176 T20. 3,47 4,12 0,800 0,697 T21. 3,53 3,59 1,068 0,712 T22. 3,12 2,71 0,928 0,920

Source: Authors’ work

The second step consists of statistical methods that test the mutual relationships between the explored concepts described by research hypotheses: variance analysis (ANOVA) and t-test. The variance analysis (ANOVA) is one of the most commonly used statistical methods in social sciences. The variance analysis is a parametric method to examine the significance of the difference between the arithmetic means of the several observed groups (Šošić and Serdar, 1997). The condition for ANOVA is the homogeneity of the variances that is confirmed by the Levene test and it should be > 0.05 to assume that the variances in the observed groups are the same.

Table 3. continued

N = 34 M SD

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Under the assumption that women will be more hesitant in communication than men, there is no statistically significant difference between male and female responses, thus H1 hypothesis is rejected.

Table 4. ANOVA

T7 SquaresSum of df SquareMean F Sig.

Between Groups ,265 1 ,265 ,235 ,631

Within Groups 36,118 32 1,129

Total 36,382 33

Source: Authors’ work

Given the assumption that men more than women make interruptions during communication, there were statistically significant differences and the H2 hypothesis was not rejected. According to previous research, men interrupt women more (James and Clarke, 1993), and women are better listeners than men. Men, on the other hand, tend to structure their listening in terms of goals, focusing more on listening to information related to the current task. According to Watson and Barker (1984), the differences in style of interruption and the style of listening can cause presumptions where women think that men do not listen, while men think that women ‘’listen too much’’.

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Table 5. ANOVA

Sum of

Squares df SquareMean F Sig.

T4 Between Groups 28,265 1 28,265 52,658 ,000 Within Groups 17,176 32 ,537 Total 45,441 33 T6 Between Groups 10,618 1 10,618 8,205 ,007 Within Groups 41,412 32 1,294 Total 52,029 33 T15 Between Groups 4,971 1 4,971 11,361 ,002 Within Groups 14,000 32 ,438 Total 18,971 33

Source: Authors’ work

Under the assumption that men are more direct in communication than women, there were no statistically significant differences, thus the H3 hypothesis was rejected.

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Table 6. ANOVA

Sum of

Squares df SquareMean F Sig.

T3 Between Groups ,265 1 ,265 ,301 ,587 Within Groups 28,118 32 ,879 Total 28,382 33 T10 Between Groups 3,559 1 3,559 3,304 ,078 Within Groups 34,471 32 1,077 Total 38,029 33

Source: Authors’ work

Under the assumption that women use a more positive tone in communication than men, the hypothesis H4 has not been rejected. With women it is easier and more relaxed to communicate than with men, women show more understanding to the person they communicate with than men and the tone of communication they use is warmer and more positive.

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Table 7. ANOVA

Sum of

Squares df SquareMean F Sig.

T8 Between Groups 7,529 1 7,529 8,790 ,006 Within Groups 27,412 32 ,857 Total 34,941 33 T12 Between Groups 8,500 1 8,500 14,916 ,001 Within Groups 18,235 32 ,570 Total 26,735 33 T13 Between Groups 14,235 1 14,235 16,338 ,000 Within Groups 27,882 32 ,871 Total 42,118 33 T14 Between Groups 6,618 1 6,618 8,824 ,006 Within Groups 24,000 32 ,750 Total 30,618 33 T20 Between Groups 3,559 1 3,559 6,327 ,017 Within Groups 18,000 32 ,563 Total 21,559 33

Source: Authors’ work

The hypothesis H5, which assumes that men talk more than women was rejected because there were no statistically significant differences between male and female respondents.

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Table 8. ANOVA

Sum of

Squares df SquareMean F Sig.

T 17 Between Groups ,471 1 ,471 ,506 ,482 Within Groups 29,765 32 ,930 Total 30,235 33 T18 Between Groups ,265 1 ,265 ,223 ,640 Within Groups 38,000 32 1,188 Total 38,265 33 T19 Between Groups ,118 1 ,118 ,106 ,747 Within Groups 35,647 32 1,114 Total 35,765 33 T21 Between Groups ,029 1 ,029 ,036 ,851 Within Groups 26,353 32 ,824 Total 26,382 33 T22 Between Groups 1,441 1 1,441 1,690 ,203 Within Groups 27,294 32 ,853 Total 28,735 33

Source: Authors’ work

We also rejected the H6 hypothesis which assumed that women were warmer and more emotional in communication than men because there were no statistically significant differences between male and female respondents.

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Table 9. ANOVA

Sum of

Squares df SquareMean F Sig.

T1 Between Groups ,265 1 ,265 ,175 ,679 Within Groups 48,471 32 1,515 Total 48,735 33 T2 Between Groups ,029 1 ,029 ,026 ,873 Within Groups 36,471 32 1,140 Total 36,500 33 T5 Between Groups 1,441 1 1,441 1,712 ,200 Within Groups 26,941 32 ,842 Total 28,382 33 T9 Between Groups 1,441 1 1,441 1,214 ,279 Within Groups 38,000 32 1,188 Total 39,441 33 T11 Between Groups 1,059 1 1,059 1,134 ,295 Within Groups 29,882 32 ,934 Total 30,941 33 T16 Between Groups ,471 1 ,471 ,538 ,469 Within Groups 28,000 32 ,875 Total 28,471 33

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CONCLUSION

The purpose of the paper was to identify the differences in communication regarding men and women and to provide useful communication strategies and articulate them better in the future. Overall, of the six hypotheses, two were accepted, while the other hypotheses were rejected, leading to a general conclusion that greater differences in gender patterns in the field of successful leadership do not really exist. However, it seems that gender is a significant component in communication breaks, where the emphasis is placed on men who interrupt conversation more frequently, that is, they interrupt women. According to the research, women are better listeners than men and they listen to what people tell them more than men. These factors suggest further research on communication style, speech coordination, and gender identity within groups of different genders. Apart from gender differences, it is suggested that further research into the factors that could impact communication interruptions examine the relationships of respondents. Communication tones are also a significant component. According to the research results, women are easier and more comfortable to communicate with than men. Women show more understanding to the person they communicate to and their tone of communication is warmer. The variations in communication that are related to the genders are more influenced by situational factors than the inherent individual differences between women and men, which is in accordance with some of the previous studies (Bass, 1981, Powell, 1990, Hyde, 2005). Since studies show that women and men change their style of communication, depending on whether they communicate with people of the same or opposite sex, it is smart to learn these differences and use them. Without the understanding of the differences, animosity among employees will be created, which can then create conflicts and prevent successful interpersonal relationships. Kind, thoughtful responses and consistent respect are the most successful communication tools, and the tendency to hesitate, checking and re-checking of information, as well as asking questions can be used to handle errors. Further research into interaction patterns in different social environments will lead to a better understanding of gender and communication styles. The awareness of gender differences can be used effectively to avoid misunderstandings between men and women in interaction as well as to perceive similarities and emphasize those styles that help us to better communicate. The understanding of the similarities and differences between gender communication is key to maintaining successful business relationships in order to communicate effectively in the workplace (as well as in everyday life situations) and to improve

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The aims of this study were to estimate the mortality due to diabetes mellitus attributed to physical inactivity in Brazil, to analyze these estimate in three points in time