Leadership and Performance of the Software Development Team: Influence of the Type of Project Management

Purpose – The objective of this article is to identify the influence of the type of leadership on the performance of the project team, according to the methods applied in the management of software development projects. Design/methodology/approach – We used a quantitative method, applying a survey to project practitioners in software development teams. The sample consisted of 245 valid answers, divided into traditional and non-traditional methods. The responses were analyzed through structural equation modeling using a confirmatory methodological approach . Findings – We identified that the three styles of leadership evaluated (transactional, transformational, and empowering) are positively related to team performance, as already identified in previous studies. However, the project management method does not influence the relationship between leadership and team performance. Originality/value – The theoretical and practical contribution of this article is the finding that the type of project management used in software development (agile or traditional method) is not relevant to the choice of team leader, emphasizing that the important thing is the investment in the development of this leadership, as a measure to increase team performance, allowing flexibility in the performance of managers.


Introduction
Despite the existence of guides to good practice and established methodologies, many projects still show a high degree of failure (Lalonde, Bourgault, & Findeli, 2012). According to Papadopoulos (2015), traditional software development methods are inflexible and fail to respond to consumer and business needs, and other methods, such as agile, provide a set of practices that enable rapid adaptations to the needs of modern product development.
A few articles, such as Papadopoulos (2015) and Ben Mahmoud-Jouini et al. (2016), have evaluated organizations that adopt more than one methodology for the development of their products and services. However, these articles did not compare traditional and nontraditional methodologies to verify the differences and similarities in the results. Serrador and Pinto (2015) demonstrated a weak superiority of the agile method over traditional methods in project success.
A few articles, such as Papadopoulos (2015) and Ben Mahmoud-Jouini et al. (2016), have evaluated organizations that adopt more than one methodology for the development of their products and services. However, these articles did not compare traditional and nontraditional methodologies to verify the differences and similarities in the results. Serrador and Pinto (2015) demonstrated a weak superiority of the agile method over traditional methods in project success.
In 2013, the Gartner Group created the term bimodal Information Technology (IT) to describe the adoption of two project management methodologies within the same organization, to allow for the choice of the most appropriate method for its projects (Aron & McDonald, 2014). Although the term is new, the concept and its adoption by organizations already existed (Horlach, Drews, & Schirmer, 2016). In this situation, organizations need to simultaneously handle two design environments, in which two important factors are the profile of people and leadership and the organizational structure. Mode one develops projects in a well-defined organizational structure and processes, while mode two needs a culture focused on innovation, which allows agility to deal with uncertainty and changes, with support from users and senior management (Gartner, 2015). According to Anguelov and Angelova (2016), mode one is based on the leadership style of command and control, while mode two has a participatory structure of team members. The leader in mode two becomes a facilitator and mediator, instead of being a controller. Also according to these authors, in mode two, the team is no longer composed mostly of specialists and is instead composed of a multidisciplinary team. It is therefore relevant to evaluate the performance of the team in this double environment with different needs and characteristics. Due to team or leadership performance factors, and the need to adapt to management models, projects fail in certain criteria and succeed in others (Patah & Carvalho, 2012).
There are various styles of leadership (Fleishman et al., 1991), but in this study we evaluate transactional, transformational, and empowering leadership (Pearce & Sims Jr, 2002). According to these authors, transactional leadership is based on goals and rewards for team engagement, and hopes to achieve goals by improving team performance. Transformational leadership expects to achieve high performance through a charismatic and transformative leader of the team and its performance. Empowering leadership encourages individual thinking, selfdevelopment, and leadership sharing to achieve the desired performance of the team.
One of the most addressed topics in team performance research is the impact of leadership, seen in the articles by Peltokorpi and Hasu (2015), Boies, Fiset, and Gill (2015however, are not well understood. To identify the intervening processes inherent in this relationship, we experimentally manipulated the leadership style assigned to 44 Fernando Andre Zemuner Garcia / Rosária de Fatima Segger Macri Russo teams taking part in a resource-maximization task. Teams were exposed either to a leader using inspirational motivation, intellectual stimulation, or a control condition. Our findings reveal important differences between leadership styles in communication and team outcomes (objective task performance and creativity), Sousa andVan Dierendonck (2016), Neil, Wagstaff, Weller, andLewis (2016), Liu et al. (2015), Zhang, Cao, and Tjosvold (2011), and Hoch and Kozlowski (2014). All of these studies concluded that team performance is directly linked to leadership, especially transformational leadership, but none of them evaluated the difference in this performance in projects with distinct management methods, that is, traditional and agile.
An organization that has projects in modes one and two may require its managers to act in projects in both modes. As the requirements are different, and not only technical, the question arises regarding whether one leadership style would be more efficient in some of the environments. Thus, the main objective of this article is to identify the influence of the type of leadership on the performance of the project team, according to the methods applied in the management of software development projects. There are also the following secondary objectives: • Identify the influence of the type of leadership, whether transactional, transformational, or empowering, on the performance of the project team. • Identify the influence of the project methodology on the relationship between the leadership and the performance of the project team.
In the next item, the concepts of team performance, leadership styles, and project management methods are defined, because they support the empirical research carried out by Pearce and Sims Jr (2002), detailed in item 3, together with the methodological procedures we adopt. Item 4 describes the results and then we present the conclusions.

Theoretical Framework
In the next items, team performance and leadership and their styles will be discussed to support the analysis performed in this article, as well as project management methods. During this discussion we present the research hypotheses.

Team performance
Team performance is a theme that has been studied by many researchers for a long time, relating to several factors. For example, Ancona and Caldwell (1992) evaluated the impact of the diversity of composition of team members. Boies, Fiset, and Gill (2015however, are not well understood. To identify the intervening processes inherent in this relationship, we experimentally manipulated the leadership style assigned to 44 teams taking part in a resource-maximization task. Teams were exposed either to a leader using inspirational motivation, intellectual stimulation, or a control condition. Our findings reveal important differences between leadership styles in communication and team outcomes (objective task performance and creativity) verified that communication and trust are essential for leadership, specifically for the transformational style. Sousa and Van Dierendonck (2016) identified leadership shared by the leader as having a strong influence on team integration, increasing team performance due to the sharing of information. Neil, Wagstaff, Weller, and Lewis (2016) studied the transformational leadership style, indicating that the way the team works to achieve important goals and the use of the emotional intelligence of team members have a direct impact on performance.
Another factor also evaluated is how the team is managed. If the team has conflict-ofactivity management, team performance will be positively impacted (De Dreu & Weingart, 2002). Team performance can be assessed from two main perspectives: effectiveness and efficiency. These perspectives have the following three points of view: result of the work from the client's point of view, from the point of view of the organization, and from the point of view of the team (Hoegl & Gemuenden, 2001)that \"good teamwork\" increases the success of in-novative projects, raises new questions: What is teamwork, and how can it be measured? Why and how is teamwork related to the success of innovative projects? How strong is the relation-ship between teamwork and various measures of project success such as performance or team member satisfaction? This article develops a comprehensive concept of the collaboration in teams, called Teamwork Quality (TWQ. In this study, we analyze effectiveness in the performance of the team, using seven different dimensions (Pearce & Sims Jr, 2002): output, quality, changes, organization and planning, interpersonal, value, and overall.
According to Pearce and Sims (2002), the output dimension takes the form of team deliveries, with a consistent and effective workload, and important changes; while the quality dimension comprises the production of high quality, accuracy, and consistency in the execution of the activities and elimination of definitive problems by the team. The changes dimension emerges through tackling new problems effectively, with behavioral changes to meet the changes either in the organization or in the project, as well as the ability to cope well with changes. The organization and planning dimension takes the form of goals and priorities, with the development of viable plans, operations in major problems, and clear priorities (Pearce & Sims Jr, 2002). According to these authors, the interpersonal dimension comprises the communication of progress, with the possibility of doing so proactively, keeping everyone informed about the complete situation of the project; while the value dimension emerges through the contribution of the team to the organization, making contributions that add value to the organization. The overall dimension takes the form of high efficiency and excellent progress of the team, with good performance and good work.

Leadership
One role of extreme importance within teams is that of the leader, because according to Grant, Graham, and Heberling (2001), he/she should act as the team leader, orchestrating the members to get the best performance. Grant et al. (2001) emphasize that the leader must act as a champion, with total dedication to the project, but giving specific support to team members when demanded. The role of the leader has a significant impact on project teams and the involvement of the organization, which ultimately affects the team and its performance (Thamhain, 2007). The project leader must manage people's work and relationships through organizational and cultural differences, including giving functional support to suppliers, sponsors, and partners (Thamhain, 2007).
The study of the Leadership theme is not new. The authors identified 65 possible classifications of systems of behavior of the leader between 1944 and 1986 (Fleishman et al., 1991). In this study, the authors conclude that the behaviors of the leader can be divided into two large groups, those with a focus on completing tasks and others with a focus on people, with these groups appearing in both the literature on leadership and in the literature on teams and leadership in teams. Burke et al. (2006) use transactional leadership, initial structure, and broadening the boundaries for the group with a focus on completing the tasks; while for the people-focused group, transformational leadership, consideration, empowerment, and motivation is used.
Empowering leadership is a newer theory in which leadership is shared among all team members (Pearce & Sims Jr, 2002). Transactional leadership seeks to engage team members through personal or material rewards that make members always seek to do more to achieve those rewards (Bass, 1990). This author described four types of transactional leaders: reward, active and passive exception, and laissez-faire. Several studies have reported the impact of transactional leadership on team performance as a positive relationship (Vecchio, Justin, & Pearce, 2008;Kwon & Fernando Andre Zemuner Garcia / Rosária de Fatima Segger Macri Russo Jang, 2012;Birtch, Chiang, & Van Esch, 2015). Thus, these conclusions are combined with the hypothesis by Pearce and Sims Jr (2002), generating the following hypothesis: H1: Transactional leadership is positively related to team performance.
Transformational leadership is based on four theoretical bases: sociology of charisma, charismatic leadership, transforming leadership, and transformational leadership. Bass (1990) states that this type of leader seeks to engage team members using their charisma and their power to transform the team, getting the team to follow them through their power to influence it. For these authors, transformational leaders are charismatic, inspiring, and use intellectual simulation and individual consideration. This type of leadership has been identified as positively related to team performance (Dionne et al., 2004;Keller, 2006;Sun et al., 2014). Based on these authors and on the hypothesis by Pearce and Sims Jr (2002), we define the following hypothesis:Hypothesis 2 (H2): Transformational leadership is positively related to team performance.
Empowering leadership, according to Pearce and Sims Jr (2002), has four theoretical bases: behavioral self-management, social cognitive theory, cognitive behavior modification, and participatory goal setting. Studies on this style go in two directions. The first focuses on the leader, with the division of power or providing greater responsibility and autonomy to those being led; and the second focuses on the empowerment of those being led, directing the studies to their motivations (Srivastava, Bartol, & Locke, 2006;Biemann, Kearney, & Marggraf, 2015). This style seeks to engage team members, encouraging them at all times to become selfreliant and stimulating their development. Based on the hypothesis by Pearce and Sims Jr (2002), the following hypothesis emerges: H3: Empowering leadership is positively related to team performance.
During the analyses, we identified that transactional leadership, transformational leadership, and empowering leadership did not present discriminant validity in the measurement model, indicating multicollinearity among the analyzed leaderships. Due to this fact, as according to Menezes, Guimarães, and Bido (2011)proposto por Marsick e Watkins (2003, the analysis can be carried out by grouping the variables (leaderships studied) into a new one, which was called Leadership. With reference to the above assumptions, the need that arose during the review period, and the papers by Thamhain (2007) and Grant, Graham, and Heberling (2001), a new hypothesis was created: H4: Leadership is positively related to team performance.

Methods and frameworks in project management
The construct of methods and frameworks in project management is divided into two macro topics: traditional methods and non-traditional methods of project management, such as agile methods (Serrador & Pinto, 2015). Due to this division into two large groups, we will use the multigroup analysis model of the structural equations model as a moderator variable, as according to case 2 by Baron and Kenny (1986), who studied a dichotomous moderating variable and a continuous independent variable, and this will be of the intervening type because it does not present a correlation between the dependent variables and the moderator, nor a correlation between the moderating variable and the independent variable, as according to the definitions reinforced by Vieira (2009) in his article.

Traditional Methods
Project management started a long time ago. In the 1970s, Royce (1970) proposed the Waterfall model in his article, which is adopted in many organizations to this day. According to Serrador and Pinto (2015), the traditional methodology follows a cascade development cycle, so that the product is specified at the beginning of the project and will be checked only at the end. With the evolution of project management based on the Waterfall model, it was necessary to organize the best practices of project management. With this, some entities have emerged and published guidelines of good practices in project management. Examples of methods based on the traditional project management model are the method based on best practices (PMI, 2013), the method based on PRINCE2, and the method based on IPMA.

Non-Traditional Methods and Frameworks
The agile methodology was created in the 1990s, officially beginning in the declaration of the agile manifesto of 2001 by Schwaber and Sutherland (2013) and 17 other software development leaders. As suggested by Sauer and Reich (2009), the agile method of project management is a new way of thinking about project management. This methodology allows for greater integration among project participants, since all are responsible for the result, unlike the traditional method, in which the project manager is chiefly responsible (Serrador & Pinto, 2015). By presenting smaller cycles, it allows a greater adaptability of the products to be delivered and, as a consequence, faster changes. The agile Scrum framework stands out in the market, and eXtreme Programming or simply XP and Lean stand out as agile development techniques (Gren, Torkar, & Feldt, 2015). Thus, non-traditional methods, such as agile, assume that there is greater interactivity among team members and faster patterns, in smaller parts and with many changes throughout the process.

Influence of methods on the relationship between leadership and performance
Based on the premise that in traditional project management, the transactional leader must control the activities, making team performance positively related to these leadership styles (Keller, 2006), it is assumed that the impact of non-traditional management will be negative on transactional leadership which provides for rewards to staff. This is because the more and more the organization adopts this type of management it encourages self-development and there is no longer the exchange of favors or the identification of the team members with the organization for years (Hoffman, Casnocha, & Yeh, 2013), besides not being the most suitable leadership style for agile teams (Kelle, Visser, Plaat, & Wijst, 2015).

H1a: The project management method moderates the relationship between transactional leadership and team performance.
In the management of traditional projects the transformational leader has the power to influence the team, so that its performance is positively related to this style of leadership (Keller, 2006). In non-traditional project management, a charismatic leadership encourages team development and improvements in deliveries to the organization (Hoffman et al., 2013).

H2a: The project management method moderates the relationship between transformational leadership and team performance.
Empowering leadership requires greater sharing of leadership. In traditional project management it can have an inverse effect, because in this method of project management the leader is the one with the decision-making power, and does not have to share their leadership with the team. With this, leadership sharing is low, making this style of leadership negatively related to team performance (Tessem, 2014). The opposite can occur in non-traditional project management, in which the empowering leader uses adaptive and charismatic leadership and team member engagement, involving leadership sharing with an emphasis on people and interactions, and greater decision-making power (Kelle et al., 2015). This can make this leadership style positively related to team performance. Thus, we generated the following hypothesis: H3a: The project management method moderates the relationship between e m p owe r i n g l e a d e r s h i p a n d t e a m performance.
Similarly, the hypothesis created during the analysis period for the Leadership variable generated a new hypothesis derived from the moderation of project management, and according to the original hypotheses of moderation of project management in the styles of leadership analyzed, we have the new hypothesis: H4a: The project management method moderates the relationship between leadership and team performance.

Methodological Procedures
To meet the goal of identifying the influence of the type of leadership on the performance of the project team, according to the methods applied in the management of software development projects, a positivist approach was used through the hypothetico-deductive research method (Creswell, 2012), by means of a survey. Thus, this is a study that empirically tests the concept of the relationship between team performance and leadership based on the hypotheses adopted in this research. It involves quantitative research of a confirmatory nature, and is methodological, considering the software development team as the unit of analysis and using a statistical power of the sample of 0.95.

Operational Model
Based on the theoretical framework and the original hypotheses developed before beginning the analyses, we proposed the research model in Figure 1 for this article. The project management methods are the moderating variables of the model, through which we addressed traditional and nontraditional methods. The independent variables of the proposed model are the transactional, transformational, and empowering styles of leadership and team performance is the dependent variable of the model. According to Hair et al. (2009), scales are used as a resource to identify the measure of variation in a set of variables or between a dependent variable and an independent variable. For the definition of variables, we used the model by Pearce and Sims Jr (2002), as well as their measurement scales. The items were translated and retranslated in the process known as reverse translation. Once a consensus on the material was reached, we performed a new test. The material was sent to a US professional and a Brazilian one for validation, who were not involved in the translation and retranslation process, allowing for the necessary grammatical adjustments in the two languages.

Instrument and data collection
For the collection of data, we created an electronic questionnaire, via Google Forms and in surveymonkey.com. After this, we performed a pre-test, in which a project leader and a team member were asked to answer the questionnaire. After minor modifications, the questionnaire, which can be seen in Appendix A, was distributed to the authors' contacts via Linkedin, personal email, professional email, and Whatsapp groups that had some relationship with IT. An email was also sent to the students and alumni of the master's degree in business administration -project management (UNINOVE -Universidade Nove de Julho). In the email there was an introduction, indicating that the respondent should act in the management of software development projects. We also requested a referral to some contact who has worked or works in this area. The distribution involved approximately 1,400 different people who had the desired profile to respond to the questionnaire, obtaining 316 answers, 245 of which were valid for the analysis, divided into traditional and non-traditional methods.

Data analysis
We performed the data analysis in two steps. The first step was done in Excel, by merging the answers from the Google Forms database and surveymonkey.com. In this first step, 71 invalid responses of respondents who did not act in software development projects or with incomplete data were discarded.
In the second step, we verified the normality of the sample, according to Hair et al. (2009), which was not confirmed. In this case, Ringle, Da Silva, and Bido (2014) suggest the use of structural equation modeling (SEM) or partial least squares (PLS), so we decided to use PLS-SEM to analyze the data, using the SmartPLS software version 3.
The analysis of the model was divided into two main groups: evaluation of the measurement model and evaluation of the structural model. We performed the moderation analysis only in the steps of the structural model evaluation group, after having the measurement model defined. According to Wong (2016), we had to use the multi-group functionality, due to the fact that the moderator affects all the proposed model. The model is of the reflective-formative type, due to the fact that the latent variables (LV) reflect the values of the observable variables (OV) and independent LVs form the dependent LV (Hair Jr., Hult, Ringle, & Sarstedt, 2014). Due to the complexity presented by the model, we used a hierarchical component model (HCM), which presents an additional level of abstraction, using second order constructs that have an established relationship (Hair Jr. et al., 2014).
In the evaluation of the measurement model, the first step is to assess the convergent validity, which includes the composition of the reliability of the internal consistency assessment, the individual reliability indicators, and the average variance extracted (AVE) (Hair Jr. et al., 2014). Afterwards, we evaluated the discriminant validity (DV). The DV can be understood as the indicator of the constructs or the LVs being independent of each other, according to Hair et al. (2014). Finally, the internal consistency of the model was evaluated, in which two indicators were used, Cronbach's alpha (CA) and composite reliability (CR), with the aim of ensuring that the Fernando Andre Zemuner Garcia / Rosária de Fatima Segger Macri Russo sample is bias free, as well as determining whether the analysis of the answers together presents reliable results (Hair Jr. et al., 2014).
In the analysis stage of the structural model, we verified how much the data represent the theory, as well as the relationship between the data, demonstrating the predictive capacity of the model and the relationships between the constructs (Hair Jr. et al., 2014). The first step is to analyze the Pearson's coefficient of determination or R 2 , which aims to demonstrate the percentage of variation of the dependent variable in relation to the independent variable (Hair Jr. et al., 2014). When the R 2 is greater than 0.26, it can be considered that the effect of the ratio is large. The second step in the analysis is the t-test (significance test), which seeks to verify whether the existing regressions and correlations within the model are significant, calculated based on the original values and using bootstrapping (Ringle, Wende, & Becker, 2015). When this test has a value above 1.96, with p < 0.05, this shows high significance of the correlations.
Next, we analyzed the path coefficient, which serves to test if the existing relationship between two constructs is relevant or significant. In the penultimate stage, the f 2 or effect size Cohen indicator was analyzed, which is obtained by including and removing each of the constructs from the model, indicating the real utility of each construct for the construction of the fit of the evaluated model (Ringle et al., 2015). When the value of this test is higher than 0.35, it shows that the construct was very useful for the model's fit. The last step in the analysis involves the Q 2 predictive validity or Stone-Geisser indicator, which evaluates the accuracy of the adjusted model, and has to have a value greater than zero, with the perfect model having a value equal to one (Hair Jr. et al., 2014).

Analysis, Interpretation, and Discussion of Results
The survey respondents were classified according to their participation in the project team: leader (56%) and team member (44%). However, the focus of the analysis in this article is on the type of project management adopted by the respondent, and so the respondents were equally divided into traditional and non-traditional methods.
In performing the validations and checking the consistencies of the model, whose values can be seen in Appendix B, the variables Expectation of commitment, Erase fires, and Points only errors and no hits, had convergent validity (CV) of the 1 st order OVs. In the discriminant validity (DV) analysis of the 1 st order LVs, we find that PE-Global presents a greater load than PE-Deliveries in its construct, having no discriminant validity. However, due to the fact that 1 st order LVs are indicators of the same 2 nd order LV, we chose to combine all OVs in a 1 st order LV called Team Performance, maintaining the same model structure as that of Pearce and Sims Jr (2002), instead of eliminating one more OV.
Next, we verified the composite reliability (CR), in which all LVs were within the appropriate range, between 0.70 and 0.90, while the AC of the LV Performance Expectancy was below the appropriate values, which should be above 0.60. However, because this is a study based on a validated model, we chose not to exclude the variable, since it could not be compared with the previous study (DeVellis, 2003). Moreover, since the 1 st order LV had only 3 OVs, and one of them had already been eliminated, the 2 nd order LV would have higher loadings than the other 1 st order LVs of this LV. Subsequently, the cross loadings method was evaluated, in which all the variables were within the standard, and therefore the measurement model presented discriminant validity.
Analyzing the values of the 2 nd order LVs, we can verify that of the Transactional Leadership LV was less than 0.50, and so we checked the model by Pearce and Sims Jr (2002), in which the 1 st order LV LTS-Management by Passive Exception was excluded, since this LV had no correlation with the others of the construct.
From analyzing the DV of the 2 nd order LVs, we can verify that the measurement model does not have discriminant validity, because the Transformational Leadership LV has a greater loading than the Empowering Leadership and Transactional Leadership LVs, indicating multicollinearity between the LVs. Due to this fact, as according to Menezes, Guimarães, and Bido (2011)proposto por Marsick e Watkins (2003, the analysis can be done by grouping the 2 nd order LVs, creating a 3 rd order LV. The 3 rd order LV was called Leadership. Analyzing the values of the 3 rd order LVs, we can verify that the AVE of the Leadership LV is higher than 0.50; however, that of the Team Performance LV was below 0.50. Due to this fact, we excluded OVs with a lower external weight, obtaining CV, DV, and internal consistency, with the final measurement model in Figure 2, which includes the moderating variable. In the second stage of the evaluation, we evaluated the structural model, both of the complete model, and the models by type of management, as can be observed in Table 1. Due to the fact that the R 2 has values above 0.26 for the variables, all were accepted, with the exception of the LTS -Active Exception Management LV, which presented a value of 0.19 for the traditional moderator; that is, the first order LVs have a great relationship with the 2 nd order LVs and the 3 rd order LV with the independent variables. Consequently, we can say that 30% of the variance of the team's performance is explained by the Leadership in the total sample. Fernando Andre Zemuner Garcia / Rosária de Fatima Segger Macri Russo  C  T  NT  C  T  NT  C  T  NT  C  T  NT  C  T  NT  C  T  NT  C  T  NT  C  T  NT As we can see in Table 2, for the moderator with Traditional Management, due to the fact that the R 2 has the value of 0.32 for team performance, there is a very large effect of the relationship between the independent variables and the dependent variable, so that 32% of the variance of team performance is explained by Leadership. The R 2 of the 2 nd order LVs of leadership show a great effect on the Leadership LV. The t-test shows high significance of the correlations and relationships between all leadership LVs and leadership and team performance. Note: Column C refers to the analysis of the structural model with the total sample, the T column refers to the Traditional Management sample, NT refers to the Non-Traditional Management sample, HC is the complete sample hypothesis, Y indicates whether the hypothesis was supported (Y) or not supported (N), and HM is the hypothesis with a moderator variable.

Source: Authors
For the moderator with Non-Traditional Management, due to the fact that the R 2 has the value of 0.29 for Team Performance, we also find a very large effect of the relationship between the independent variables and the dependent variable, so that 29% of the variance of team performance is explained by Leadership. The R 2 of the 2 nd order LVs of leadership shows a large effect on the Leadership LV.
The t-test shows high significance of the correlations and relationships between all leadership LVs and leadership and team performance in the total sample, in the sample with the traditional moderator variable, and the one with the non-traditional moderator variable.
The f2 shows that the construct was very useful for the fit of the model, having found these values for all the leaderships, except for Transactional, which has an average utility fit of the model.
With regard to transformational leadership, in the study by Pearce and Sims Jr (2002), the hypothesis was partially supported because it was evaluated by three distinct items, being positively related to team performance. In this study it was supported, confirming the theory. The hypothesis for comparison is that empowering leadership is positively related to team performance, which was marginally supported in the study by Pearce and Sims Jr (2002) and is fully supported in this research, considering such factors as a greater focus on leadership development for this style of leadership and the segment of the organizations addressed.
Pearce and Sims Jr (2002) failed to support the hypothesis that transactional leadership is positively related to team performance. In contrast, in this study this hypothesis was supported, having factors that may have contributed to this fact: cultural issues related to the country in which the questionnaire was applied, as well as the segment of the organizations covered, or even the time elapsed between the studies.
According to the analysis of the result for the traditional project management method, the transactional leader is positively related to the performance of the team according to the theory, unlike non-traditional management, which presupposes a negative relationship between transactional leadership and team performance in theory, but was presented in a positive way in the analyses. This result may indicate that this style is still used in organizations and that it has an effective result. The transformational leader relates positively to team performance for the two values of the project management moderator, both in theory and in this study.
Finally, the analysis of empowering leadership presupposes a negative relationship with team performance for traditional project management in theory, but the analyses indicate a positive relationship, which may indicate that leadership sharing is a style in use in traditional management and is well endorsed by team members. Non-traditional project management also showed a positive relationship with team performance in the analyses as well as in theory.
The analyses indicate that the moderation of project management has no effect on the samples, because the results presented in the total sample and when we use the moderator variable do not show any significant variance in team performance,. The variation in the path coefficient is moderate in all samples, not showing any great variation. Thus, hypotheses H1a, H2a, H3a, and H4a were rejected.

Conclusions
This work complements the study carried out by Pearce and Sims Jr (2002), who analyzed the relationship between team performance and various leadership styles, because we verified the influence on this relationship of the project management in its two models: traditional methods, based, for example, on PMBoK, PRINCE2, or IPMA, and non-traditional ones, based on agile frameworks such as Scrum. This research made it possible to deepen the study of the relationship between leadership, team performance, and project management, thus expanding the current scientific knowledge.
The main objective was to identify the influence of the type of leadership on the performance of the project team, according to the methods applied in the management of software development projects in various industries and sectors. The constructs of leadership and team performance are very important and studied in academic circles, and are increasingly important in organizations, especially in those that manage projects for the development of new products, whether they are products or software.

Fernando Andre Zemuner Garcia / Rosária de Fatima Segger Macri Russo
To achieve the main objective of this work, we identified two secondary objectives. The first one was to identify the influence of the type of leadership, whether transactional, transformational, or empowering, on the performance of the project team, with three hypotheses being created relating each one of the types of leadership with the performance of the team and giving rise to a fourth hypothesis. H1 proposed a positive relationship between these two constructs, which was confirmed in this study, unlike in the study by Pearce and Sims Jr (2002), where it was refuted. H2 proposed a positive relationship between this style of leadership with the performance of the team, which was also confirmed in both studies. H3 proposed a positive relationship between this leadership and team performance, which was confirmed in both studies.
We i d e n t i f i e d t h a t t r a n s a c t i o n a l leadership has a strong and positive relationship with the performance of the team, but contributes moderately to the fit of the model. Transformational leadership has a strong and positive relationship with team performance, and finally, empowering leadership also has a strong and positive relationship with team performance. With this analysis, we identified the influence of the type of leadership, whether transactional, transformational, or empowering, on the performance of the project team, with the confirmation of hypotheses H1, H2, and H3, leading to the confirmation of H4, which confirms the positive relationship between leadership and team performance.
To achieve the second secondary objective, we formulated hypotheses H1a, H2a, H3a, and H4a. We can conclude, based on the rejection of the four hypotheses formulated, that the applied project management method does not influence the relationship between leadership and performance, because the impact was not significantly changed nor was the sign of the relationship between the leadership and team performance.
With the results obtained in this research, we verified that the leadership styles have a direct relationship with the performance of the team. This study validates previous studies demonstrating the relationship between leadership and team performance. However, it showed that there is no significant influence of the method adopted in project management, whether positive or negative, on this relationship. Thus, an organization that works with bimodal IT, that is, using projects managed by traditional and non-traditional methodologies, would not have to identify a project manager with a specific leadership type in each of the modes. Because leadership influences team performance, we suggest that organizations invest in the development of their leaders, by various means such as training, coaching, and mentoring.
We limited this study to software development projects and Brazilian national organizations, not verifying other variables that interact in the social process of leadership, including motivation of those being led, type of organizational structure, task, or mission. Another limitation of the research was the industry, where the largest volume of respondents were concentrated in the sector of private sector financial activities, with approximately one thousand to two thousand employees. For future studies, we suggest the application of the research in other industries and in other sectors, as well as project teams from countries other than Brazil, thus broadening the scope of the study.
Leadership styles and team performance were based on the study by Pearce and Sims Jr (2002), and there are other approaches to leadership style as well as team performance. We therefore suggest using other approaches, to compare the results with this research, such as longitudinal research to assess the impact of leadership during the project life cycle and maturity of the team during the project.
We suggest deepening the evaluation of the results of this research through case studies or in-depth interviews. One example would be to verify the reason why transactional leadership moderately contributes to the fit of the model, assessing the reasons for the change in leadership style.   Table 3.

Evaluation of DV via criteria by Fornell and Larcker, fourth execution
Variable LE-Encourage Self-Reward