1. Introduction
Today’s business environment can be properly characterized by using the following terms: Dynamic development, turbulences, unstable markets, knowledge-based enterprises, globalization, sustainability, and competitive environment [
1,
2,
3,
4,
5,
6]. In order to be successful in such an environment, existing sources must be quickly and effectively connected by enterprises [
7,
8,
9,
10]. Therefore, personnel management and implementation of its components in human resource management (HRM) play an important role in management of each enterprise [
11,
12,
13]. As people are the most important asset of each enterprise, the main goal of HRM is to create conditions that allow enterprises to run businesses effectively by following the maximum performance and sustainability of business processes, which are key factors for an enterprise to succeed on the market [
14,
15,
16,
17].
The role of human resources is strategic. In comparison to financial sources, they are able to create competitive advantage. Human resources are a key factor in achieving enterprise sustainability [
18,
19]. Running a business, its prosperity, and its sustainable development are affected by their quality [
20,
21,
22,
23]. If a company’s top management is aware of the fact that human resources are essential for enterprise development, then HRM can be regarded as a key to success [
24].
The basic role of HRM is to ensure the so-called positive behavior of employees. This is a behavior of employees resulting in carrying out the enterprise’s strategy and meeting the goals in an effective way. Systematic employee motivation and subsequent motivation processes are necessary for managing the employees effectively [
25]. Motivation as one of the basic prerequisites for the success and effectiveness of job performance in relation to the sustainability of business processes is an essential part of the theory of HRM [
26]. It is a prerequisite for goal-directed behavior to meet specific needs through determination and inner power [
27]. It is also defined as a cognitive decision-making process to monitor the behavior aimed at achieving a specific goal [
28]. The ability to motivate employees is regarded as one of the basic skills of managers, instantly affecting the enterprise’s success [
29,
30].
Therefore, the goal of this paper is to define employee motivation through the most important motivation factors relating to mutual relationships that motivate Slovak employees to improve their job performance. Moreover, the significant differences in terms of socio-demographic features of respondents (gender, age, job position) are identified.
2. Literature Review
Actual research studies have empirically tested motivation and job performance [
31,
32]. Further research confirmed that employees can be motivated by everything stimulating their activity, determining the goals and directions [
29,
33,
34,
35,
36,
37]. According to the research of Chatzopoulou et al. [
38] and Kampkötter [
39], basic salaries and rewards are motivation factors that are important for employees. The research of Brady and King [
34], Anguelov et al. [
40], and Bakotic and Babic [
41] showed that working conditions are one of the main factors of employee motivation. According to Manzoor [
42], the personality and behavior of a supervisor are considered important as well. Ogbonna and Harris [
43] highlight the importance of motivation in leading to high employee performance according to management level and style. Motivation factors, such as interpersonal relationships, recognition, and work teams, were defined in the research of Raziq and Maulabakhsh [
44]. According to Baah and Amoako [
45], employees are motivated by (1) the nature of their work, (2) their sense of achievement in work, (3) recognition, (4) responsibility, and (5) opportunities for personal growth and advancement. Khalid et al. [
46], Yang [
47], and Monusova [
48] mentioned that the nature of work processes and working conditions are important for employee motivation. Present research studies show that employees can be motivated in five basic areas relating to finance, relationships, social status, career, and workplace, respectively [
49,
50].
Employees can be motivated by other factors as well. Employees’ opinions on motivation can depend on their socio-demographic profiles. There are studies defining the differences in employee motivation in terms of gender [
51,
52,
53]. Peterson [
54], Joniakova and Blstakova [
55], Zemke [
56], Bailyn [
57], and Buttner [
58] found out that men are motivated by economic welfare and professional success at work, while women prefer to work interactively [
54], trying to achieve work–family balance [
59]. There are also further research studies confirming the differences in employee motivation in terms of age [
60,
61,
62]. In terms of age, younger employees are motivated more by higher financial rewards, whereas older employees are motivated by accomplishments they have already achieved [
63]. According to our previous research, differences in employee motivation in terms of job category have been identified [
63,
64,
65,
66,
67]. Based on the research of Mikkelsen et al. [
64] and Anderson and Pallesen [
67], managers perceive as motivational the factors related to finance, as well as recognition and freedom in decision-making. The research results of Ngyuyen [
65] and Kanfer et al. [
66] showed that employees in lower-level jobs are also motivated by financial rewards. Further research has shown the mutual interactions of various factors. The interactions of age, gender, and education were investigated by Nguyen et al. [
68]. The interaction between gender and age was studied by Hitka et al. [
69]. Three factors and their mutual interactions are selected from various factors.
This paper fills the gap by providing information about the ways of motivating employees in terms of gender, age, and job position. Therefore, the goal of the research is to determine the most important motivation factors relating to relationships, motivating Slovak employees to improve performance, and, especially, identifying significant differences in terms of socio-demographic characteristics (gender, age, job position). The definition of the mutual relations between gender, age, and job position can be regarded as a contribution of this research.
3. Materials and Methods
The importance of employee motivation was defined using anonymous questionnaires. The questionnaires were filled in by randomly selected employees hired by enterprises in Slovakia in order to ensure the variability and randomness of respondent selection. This was necessary in order to acquire relevant data. The questionnaire consisted of two parts. Data related to gender, age, and job position were obtained in the first part of the questionnaire. In total, 34,615 employees participated in the questionnaire. The sample is presented in
Table 1.
Based on the methodology of Hitka [
70], 30 motivation factors divided into five groups were given in the second part of the questionnaire. The motivation factors relating to mutual relationships (atmosphere in the workplace, good work team, communication in the workplace, supervisor’s approach), to career aspirations (opportunity to apply one’s own ability, career advancement, competences, prestige, individual decision-making, self-actualization, personal growth, recognition), to finance (basic salary, fringe benefits, fair appraisal system), to work conditions (physical effort at work, occupational safety, job security, workload and type of work, information about performance results, working hours, work environment, job performance, mental effort, stress), and to social needs (social benefits, mission of the company, name of the company, region’s development, relation to the environment, free time) were analyzed.
The goal was to define the importance of employee motivation through the most important motivation factors relating to mutual relationships that motivate Slovak employees to improve their job performance. The research was aimed at employees aged up to 30, up to 40, up to 50, and 50+. In terms of job position, the focus was on managers, blue-collar workers (BCW), and white-collar workers (WCW). The importance of motivation factors was evaluated by one of the five levels of importance based on the Likert scale (5 = very important; 4 = important; 3 = neutral; 2 = little important; 1 = not important). Firstly, the importance of the motivation factors was defined using the method of weighted arithmetic mean. Subsequently, the significant differences in terms of gender, age, and job were tested further using Tukey’s honestly significant difference test at the significance level of 5%.
4. Empirical Results
In the first step, the importance of motivation factors was defined on the basis of obtained values using the method of weighted arithmetic mean. The results of the ten most important motivation factors motivating Slovak employees to improve their job performance are mentioned in
Table 2.
Based on the results mentioned in
Table 2, it can be seen that basic salary and fair appraisal system were regarded as the two most important motivation factors relating to finance. A good work team and atmosphere in the workplace were regarded as the two most important motivation factors relating to mutual relationships. Job security and working hours were regarded as the two most important motivation factors relating to work conditions. Motivation factors relating to career aspirations and social needs were not perceived as the most important motivation factors motivating Slovak employees to improve their job performance.
In the next step, the two most important motivation factors relating to mutual relationships were tested further using Tukey’s honestly significant difference test.
A good work team was perceived as the most important motivation factor relating to mutual relationships. Individual groups of respondents, quantities, and arithmetic means of evaluations of the desired state of the good work team motivation factor at 95% reliability are shown in
Table 3.
Based on the results in
Table 3, it was observed that male managers of the age of up to 40 regarded the good work team motivation factor as the most important. With 95% reliability, Slovak men assessed the studied motivation factor in a range from 4.43 to 4.55. A good work team was the most important for female white-collar workers aged 50+. With 95% reliability, Slovak women assessed the studied motivation factor in the range from 4.54 to 4.60.
The results mentioned in
Table 4 show that it can be stated with 95% confidence that the greatest significant differences in the good work team motivation factor are due to gender and job position.
The differences between men and women (
Figure 1,
Table A1) were confirmed by Tukey’s honestly significant difference test. Significant differences are highlighted in red. There were differences between male blue-collar workers aged up to 50 and 50+ and women aged up to 30 and up to 50 in all job positions, apart from the female blue-collar workers aged up to 40 and male blue-collar workers aged 50+.
The second most important motivation factor relating to mutual relationships was atmosphere in the workplace.
Table 5 shows the results.
According to the results, it was stated that in terms of gender, the motivation factor of atmosphere in the workplace was regarded as the most important by male managers of up to age 50. Those men evaluated the studied motivation factor, with 95% reliability, in a range between 4.42 and 4.54. Female managers aged 50+ evaluated the studied motivation factor in a range between 4.50 and 4.65. Additionally, in this case, women of all ages and in all job positions regarded the mentioned motivation factor as more important than men did. Following this finding, it can be stated that the motivation factor of atmosphere in the workplace is more important for women than for men.
The effects of gender, age, and job position on the significant differences in the case of the motivation factor of atmosphere in the workplace are mentioned in
Table 6. According to the results, it can be seen that gender and job position are two factors affecting motivation the most.
Based on the results obtained using the Tukey’s honestly significant difference test, it can be seen that there is a different way of perceiving the atmosphere in the workplace by men and women (
Figure 2,
Table A2). Significant differences arise especially between men aged up to 30, up to 50, and 50+ in job positions as blue-collar workers and women of all ages and in all job positions, apart from female blue-collar workers aged 50+.
5. Discussion
If an enterprise wants to stay prosperous in today’s dynamically changing environment, the management must be focused on employee motivation as one of the most important managerial activities [
71,
72,
73]. If employees are motivated, their initiatives are endorsed and, subsequently, enterprise goals are effectively achieved and principles of sustainability are incorporated [
17,
74,
75,
76,
77,
78,
79]. In this context, all managers must be familiar with the needs of their employees because employees can be motivated by everything, encouraging their activities and determining their directions and goals [
33,
34,
36,
78,
79], e.g., basic salary, rewards, personality and behavior of supervisor, level and style of management, work team, interpersonal relationships, recognition, and other factors [
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47]. Based on previous research [
54,
55,
56,
57,
58], employees’ opinions on motivation can change in terms of socio-demographic features. The goal of this research was to determine the importance of employee motivation through the most important motivation factors relating to mutual relationships that motivate Slovak employees to improve their job performance, and especially the identification of the significant differences in terms of socio-demographic features of respondents (gender, age, job position).
Based on the research carried out using a sample set of more than 34,000 employees, it can be seen that a good work team and atmosphere in the workplace were regarded as the most important motivation factors relating to mutual relationships. Motivation factors were tested individually in terms of gender, age, and job position using Tukey’s honestly significant difference test.
When analyzing the good work team motivation factor, several statistically significant differences were observed not only between genders, but also between job positions. These significant differences were not caused by the specific effects of gender and job position individually, but, rather, the considerable fluctuation in evaluations of employees resulted from their mutual interaction.
When the motivation factor of atmosphere in the workplace was studied, Tukey’s honestly significant difference test showed the formation of a large number of significant differences between individual employee categories in terms of gender, age, and job position. The differences were especially due to gender and age.
Following the results of the research, a large number of statistically significant differences between individual employee categories was observed. Marked similarities between countries in Central Europe according to selected specifications were also confirmed in the research of Hitka et al. [
80] and Lizbetinova et al. [
81]. The emphasis is put on the factors relating to finance, especially because of the low productivity at work and the low income of the population [
82,
83]. This leads to the conclusion that employers should focus on creating motivation programs for employees as individual parts and should not approach employees uniformly, especially because of the employees’ various needs in terms of gender, age, and job position. In order to be effective, a motivation program must reflect employees’ needs. Their behavior and performance must be affected in order to move toward the desired direction. Moreover, the motivation program must cover requirements of both the enterprise and the employees. Therefore, based on the obtained results, it is recommended that enterprises focus on supporting the motivation factors relating to finance, mutual relationships, and working conditions.
6. Conclusions
Globalization, increasing pressure of competition, and the growing interest in sustainability of business processes have resulted in new trends in the competitive environment, asking for a turning point in the developmental thinking of all employees in an enterprise. At present, providing quality services is not enough for building an enterprise’s success. The background of the differences in the competitive advantages of each enterprise can be seen in human resources. Their importance is strategic because they affect enterprise operations, prosperity, and sustainability.
An original contribution of this paper is the definition of employee motivation through the most important motivation factors relating to mutual relationships that motivate Slovak employees to improve their job performance. Moreover, significant differences in terms of socio-demographic features of respondents (gender, age, job position) were identified.
The research showed that there are differences in motivation factors between Slovak employees in terms of gender, age, and job position. Based on the research results, large numbers of statistically significant differences between individual employee categories were observed. Therefore, a conclusion was drawn that employers should focus on creating individual motivation programs for employees with respect to their needs in terms of gender, age, and job position. It is recommended that enterprises focus their motivation programs on supporting motivation factors related to finance, mutual relationships, and working conditions. At the same time, the fact that employees’ opinions on motivation can change over the course of time must be taken into account. Employees’ requirements for motivation can also change after meeting their needs. Therefore, the motivation program must be updated and modified regularly to cover the requirements of enterprises as well as employees.
On the basis of the studies analyzing motivation in terms of gender [
50,
51,
52,
57], age [
58,
59,
60], and job categories [
62,
63,
64,
65], the managers dealt with motivation factors only partially. Our results can be used in the managers’ decision-making processes to create motivation programs because all three areas (age, gender, job category) and their mutual interactions are covered there.
In the future, the focus of the research will be placed on other interactions, not only in terms of gender, age, and job position, but also in terms of education, seniority, or regional affiliation; this can be considered the research limitation. However, further collection of data, as well as deeper investigation, is necessary due to the complexity of interactions.
Author Contributions
Conceptualization, S.L., M.Č., A.M., Ž.B., Z.G.B., and M.H.; methodology, S.L., M.Č., A.M., Ž.B., Z.G.B., and M.H.; data curation, S.L., M.Č., A.M., Ž.B., Z.G.B., and M.H.; writing—original draft, S.L., M.Č., A.M., Ž.B., Z.G.B., and M.H.; visualization, S.L., M.Č., A.M., Ž.B., Z.G.B., and M.H. All authors have read and agreed to the published version of the manuscript.
Funding
The APC was funded by the Ministry of Education, Science, Research and Sport of the Slovak Republic; VEGA project No. 1/0721/20 „Identification of priorities for sustainable human resources management with respect to disadvantaged employees in the context of Industry 4.0.”.
Acknowledgments
This paper is a part of projects VEGA No. 1/0721/20, “Identification of priorities for sustainable human resources management with respect to disadvantaged employees in the context of Industry 4.0“, KEGA 005TU Z-4/2020 “Economics, Management, and Enterprising in Wood Industry Companies—university textbook with visualization support in virtual space”, KEGA 016EU-4/2019 “Innovative learning texts from marketing for secondary schools”, and VEGA 1/0737/20 “Consumer Literacy and Intergenerational Changes in Consumer Preferences when Purchasing Slovak Products”.
Conflicts of Interest
The authors declare no conflict of interest.
Appendix A
Table A1.
Tukey’s honestly significant difference test for the good work team motivation factor.
Table A1.
Tukey’s honestly significant difference test for the good work team motivation factor.
Gender | Age | Job Category | Mean | {1} | {2} | {3} | {4} | {5} | {6} | {7} | {8} | {9} | {10} | {11} | {12} | {13} | {14} | {15} | {16} | {17} | {18} | {19} | {20} | {21} | {22} | {23} | {24} |
---|
4.466 | 4.343 | 4.454 | 4.489 | 4.350 | 4.423 | 4.443 | 4.320 | 4.393 | 4.466 | 4.321 | 4.447 | 4.528 | 4.422 | 4.551 | 4.534 | 4.407 | 4.522 | 4.492 | 4.428 | 4.524 | 4.457 | 4.403 | 4.566 |
---|
Male | <30 | Manager | {1} | | 0.935 | 1.000 | 1.000 | 0.966 | 1.000 | 1.000 | 0.734 | 1.000 | 1.000 | 0.744 | 1.000 | 1.000 | 1.000 | 0.990 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.994 |
BCW | {2} | 0.935 | | 0.073 | 0.119 | 1.000 | 0.319 | 0.776 | 1.000 | 0.997 | 0.859 | 1.000 | 0.586 | 0.114 | 0.189 | 0.000 | 0.003 | 0.445 | 0.000 | 0.136 | 0.046 | 0.000 | 0.961 | 0.958 | 0.000 |
WCW | {3} | 1.000 | 0.073 | | 1.000 | 0.145 | 1.000 | 1.000 | 0.005 | 0.962 | 1.000 | 0.006 | 1.000 | 1.000 | 1.000 | 0.242 | 0.980 | 0.999 | 0.893 | 1.000 | 1.000 | 0.858 | 1.000 | 0.996 | 0.065 |
<40 | Manager | {4} | 1.000 | 0.119 | 1.000 | | 0.188 | 0.999 | 1.000 | 0.021 | 0.866 | 1.000 | 0.022 | 1.000 | 1.000 | 0.998 | 0.999 | 1.000 | 0.972 | 1.000 | 1.000 | 0.999 | 1.000 | 1.000 | 0.954 | 0.986 |
BCW | {5} | 0.966 | 1.000 | 0.145 | 0.188 | | 0.525 | 0.877 | 0.997 | 1.000 | 0.918 | 1.000 | 0.729 | 0.166 | 0.370 | 0.000 | 0.007 | 0.702 | 0.000 | 0.210 | 0.124 | 0.000 | 0.982 | 0.991 | 0.000 |
WCW | {6} | 1.000 | 0.319 | 1.000 | 0.999 | 0.525 | | 1.000 | 0.028 | 1.000 | 1.000 | 0.031 | 1.000 | 0.968 | 1.000 | 0.001 | 0.656 | 1.000 | 0.050 | 0.998 | 1.000 | 0.037 | 1.000 | 1.000 | 0.000 |
<50 | Manager | {7} | 1.000 | 0.776 | 1.000 | 1.000 | 0.877 | 1.000 | | 0.360 | 1.000 | 1.000 | 0.374 | 1.000 | 0.998 | 1.000 | 0.644 | 0.925 | 1.000 | 0.978 | 1.000 | 1.000 | 0.969 | 1.000 | 1.000 | 0.369 |
BCW | {8} | 0.734 | 1.000 | 0.005 | 0.021 | 0.997 | 0.028 | 0.360 | | 0.805 | 0.567 | 1.000 | 0.188 | 0.030 | 0.009 | 0.000 | 0.000 | 0.029 | 0.000 | 0.027 | 0.001 | 0.000 | 0.794 | 0.513 | 0.000 |
WCW | {9} | 1.000 | 0.997 | 0.962 | 0.866 | 1.000 | 1.000 | 1.000 | 0.805 | | 1.000 | 0.822 | 1.000 | 0.704 | 1.000 | 0.000 | 0.174 | 1.000 | 0.009 | 0.868 | 1.000 | 0.007 | 1.000 | 1.000 | 0.000 |
50+ | Manager | {10} | 1.000 | 0.859 | 1.000 | 1.000 | 0.918 | 1.000 | 1.000 | 0.567 | 1.000 | | 0.579 | 1.000 | 1.000 | 1.000 | 0.998 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.985 |
BCW | {11} | 0.744 | 1.000 | 0.006 | 0.022 | 1.000 | 0.031 | 0.374 | 1.000 | 0.822 | 0.579 | | 0.199 | 0.031 | 0.021 | 0.000 | 0.000 | 0.142 | 0.000 | 0.029 | 0.009 | 0.000 | 0.803 | 0.534 | 0.000 |
WCW | {12} | 1.000 | 0.586 | 1.000 | 1.000 | 0.729 | 1.000 | 1.000 | 0.188 | 1.000 | 1.000 | 0.199 | | 0.999 | 1.000 | 0.603 | 0.954 | 1.000 | 0.976 | 1.000 | 1.000 | 0.967 | 1.000 | 1.000 | 0.318 |
Female | <30 | Manager | {13} | 1.000 | 0.114 | 1.000 | 1.000 | 0.166 | 0.968 | 0.998 | 0.030 | 0.704 | 1.000 | 0.031 | 0.999 | | 0.964 | 1.000 | 1.000 | 0.867 | 1.000 | 1.000 | 0.980 | 1.000 | 1.000 | 0.830 | 1.000 |
BCW | {14} | 1.000 | 0.189 | 1.000 | 0.998 | 0.370 | 1.000 | 1.000 | 0.009 | 1.000 | 1.000 | 0.021 | 1.000 | 0.964 | | 0.000 | 0.636 | 1.000 | 0.013 | 0.998 | 1.000 | 0.009 | 1.000 | 1.000 | 0.000 |
WCW | {15} | 0.990 | 0.000 | 0.242 | 0.999 | 0.000 | 0.001 | 0.644 | 0.000 | 0.000 | 0.998 | 0.000 | 0.603 | 1.000 | 0.000 | | 1.000 | 0.000 | 1.000 | 1.000 | 0.001 | 1.000 | 0.996 | 0.000 | 1.000 |
<40 | Manager | {16} | 1.000 | 0.003 | 0.980 | 1.000 | 0.007 | 0.656 | 0.925 | 0.000 | 0.174 | 1.000 | 0.000 | 0.954 | 1.000 | 0.636 | 1.000 | | 0.363 | 1.000 | 1.000 | 0.732 | 1.000 | 1.000 | 0.304 | 1.000 |
BCW | {17} | 1.000 | 0.445 | 0.999 | 0.972 | 0.702 | 1.000 | 1.000 | 0.029 | 1.000 | 1.000 | 0.142 | 1.000 | 0.867 | 1.000 | 0.000 | 0.363 | | 0.000 | 0.970 | 1.000 | 0.000 | 1.000 | 1.000 | 0.000 |
WCW | {18} | 1.000 | 0.000 | 0.893 | 1.000 | 0.000 | 0.050 | 0.978 | 0.000 | 0.009 | 1.000 | 0.000 | 0.976 | 1.000 | 0.013 | 1.000 | 1.000 | 0.000 | | 1.000 | 0.010 | 1.000 | 1.000 | 0.023 | 0.995 |
<50 | Manager | {19} | 1.000 | 0.136 | 1.000 | 1.000 | 0.210 | 0.998 | 1.000 | 0.027 | 0.868 | 1.000 | 0.029 | 1.000 | 1.000 | 0.998 | 1.000 | 1.000 | 0.970 | 1.000 | | 0.999 | 1.000 | 1.000 | 0.953 | 0.996 |
BCW | {20} | 1.000 | 0.046 | 1.000 | 0.999 | 0.124 | 1.000 | 1.000 | 0.001 | 1.000 | 1.000 | 0.009 | 1.000 | 0.980 | 1.000 | 0.001 | 0.732 | 1.000 | 0.010 | 0.999 | | 0.007 | 1.000 | 1.000 | 0.000 |
WCW | {21} | 1.000 | 0.000 | 0.858 | 1.000 | 0.000 | 0.037 | 0.969 | 0.000 | 0.007 | 1.000 | 0.000 | 0.967 | 1.000 | 0.009 | 1.000 | 1.000 | 0.000 | 1.000 | 1.000 | 0.007 | | 1.000 | 0.017 | 0.998 |
50+ | Manager | {22} | 1.000 | 0.961 | 1.000 | 1.000 | 0.982 | 1.000 | 1.000 | 0.794 | 1.000 | 1.000 | 0.803 | 1.000 | 1.000 | 1.000 | 0.996 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | | 1.000 | 0.975 |
BCW | {23} | 1.000 | 0.958 | 0.996 | 0.954 | 0.991 | 1.000 | 1.000 | 0.513 | 1.000 | 1.000 | 0.534 | 1.000 | 0.830 | 1.000 | 0.000 | 0.304 | 1.000 | 0.023 | 0.953 | 1.000 | 0.017 | 1.000 | | 0.000 |
WCW | {24} | 0.994 | 0.000 | 0.065 | 0.986 | 0.000 | 0.000 | 0.369 | 0.000 | 0.000 | 0.985 | 0.000 | 0.318 | 1.000 | 0.000 | 1.000 | 1.000 | 0.000 | 0.995 | 0.996 | 0.000 | 0.998 | 0.975 | 0.000 | |
Table A2.
Tukey’s honestly significant difference test for the motivation factor of atmosphere in the workplace.
Table A2.
Tukey’s honestly significant difference test for the motivation factor of atmosphere in the workplace.
Gender | Age | Job Category | Mean | {1} | {2} | {3} | {4} | {5} | {6} | {7} | {8} | {9} | {10} | {11} | {12} | {13} | {14} | {15} | {16} | {17} | {18} | {19} | {20} | {21} | {22} | {23} | {24} |
---|
4.469 | 4.321 | 4.439 | 4.458 | 4.338 | 4.393 | 4.482 | 4.305 | 4.417 | 4.458 | 4.296 | 4.417 | 4.558 | 4.421 | 4.534 | 4.493 | 4.410 | 4.524 | 4.507 | 4.426 | 4.503 | 4.573 | 4.389 | 4.531 |
---|
Male | <30 | Manager | {1} | | 0.761 | 1.000 | 1.000 | 0.910 | 1.000 | 1.000 | 0.559 | 1.000 | 1.000 | 0.446 | 1.000 | 0.999 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.993 | 1.000 | 1.000 |
BCW | {2} | 0.761 | | 0.053 | 0.253 | 1.000 | 0.617 | 0.044 | 1.000 | 0.309 | 0.755 | 1.000 | 0.793 | 0.007 | 0.020 | 0.000 | 0.030 | 0.029 | 0.000 | 0.014 | 0.003 | 0.000 | 0.007 | 0.888 | 0.000 |
WCW | {3} | 1.000 | 0.053 | | 1.000 | 0.232 | 0.999 | 1.000 | 0.008 | 1.000 | 1.000 | 0.003 | 1.000 | 0.915 | 1.000 | 0.330 | 1.000 | 1.000 | 0.575 | 0.999 | 1.000 | 0.956 | 0.858 | 0.998 | 0.410 |
<40 | Manager | {4} | 1.000 | 0.253 | 1.000 | | 0.524 | 0.999 | 1.000 | 0.096 | 1.000 | 1.000 | 0.052 | 1.000 | 0.988 | 1.000 | 0.992 | 1.000 | 1.000 | 0.999 | 1.000 | 1.000 | 1.000 | 0.969 | 0.998 | 0.996 |
BCW | {5} | 0.910 | 1.000 | 0.232 | 0.524 | | 0.954 | 0.144 | 0.994 | 0.709 | 0.915 | 0.998 | 0.964 | 0.021 | 0.163 | 0.000 | 0.101 | 0.247 | 0.000 | 0.051 | 0.043 | 0.000 | 0.020 | 0.995 | 0.000 |
WCW | {6} | 1.000 | 0.617 | 0.999 | 0.999 | 0.954 | | 0.938 | 0.202 | 1.000 | 1.000 | 0.084 | 1.000 | 0.357 | 1.000 | 0.000 | 0.872 | 1.000 | 0.001 | 0.717 | 1.000 | 0.018 | 0.304 | 1.000 | 0.000 |
<50 | Manager | {7} | 1.000 | 0.044 | 1.000 | 1.000 | 0.144 | 0.938 | | 0.011 | 0.999 | 1.000 | 0.005 | 0.999 | 1.000 | 1.000 | 1.000 | 1.000 | 0.996 | 1.000 | 1.000 | 1.000 | 1.000 | 0.998 | 0.911 | 1.000 |
BCW | {8} | 0.559 | 1.000 | 0.008 | 0.096 | 0.994 | 0.202 | 0.011 | | 0.083 | 0.534 | 1.000 | 0.490 | 0.002 | 0.001 | 0.000 | 0.008 | 0.002 | 0.000 | 0.003 | 0.000 | 0.000 | 0.002 | 0.533 | 0.000 |
WCW | {9} | 1.000 | 0.309 | 1.000 | 1.000 | 0.709 | 1.000 | 0.999 | 0.083 | | 1.000 | 0.034 | 1.000 | 0.696 | 1.000 | 0.055 | 0.994 | 1.000 | 0.143 | 0.966 | 1.000 | 0.576 | 0.615 | 1.000 | 0.078 |
50+ | Manager | {10} | 1.000 | 0.755 | 1.000 | 1.000 | 0.915 | 1.000 | 1.000 | 0.534 | 1.000 | | 0.412 | 1.000 | 0.990 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.969 | 1.000 | 1.000 |
BCW | {11} | 0.446 | 1.000 | 0.003 | 0.052 | 0.998 | 0.084 | 0.005 | 1.000 | 0.034 | 0.412 | | 0.330 | 0.001 | 0.001 | 0.000 | 0.003 | 0.005 | 0.000 | 0.001 | 0.000 | 0.000 | 0.001 | 0.323 | 0.000 |
WCW | {12} | 1.000 | 0.793 | 1.000 | 1.000 | 0.964 | 1.000 | 0.999 | 0.490 | 1.000 | 1.000 | 0.330 | | 0.695 | 1.000 | 0.406 | 0.994 | 1.000 | 0.606 | 0.965 | 1.000 | 0.927 | 0.613 | 1.000 | 0.474 |
Female | <30 | Manager | {13} | 0.999 | 0.007 | 0.915 | 0.988 | 0.021 | 0.357 | 1.000 | 0.002 | 0.696 | 0.990 | 0.001 | 0.695 | | 0.741 | 1.000 | 1.000 | 0.600 | 1.000 | 1.000 | 0.798 | 1.000 | 1.000 | 0.315 | 1.000 |
BCW | {14} | 1.000 | 0.020 | 1.000 | 1.000 | 0.163 | 1.000 | 1.000 | 0.001 | 1.000 | 1.000 | 0.001 | 1.000 | 0.741 | | 0.008 | 0.997 | 1.000 | 0.012 | 0.978 | 1.000 | 0.189 | 0.660 | 1.000 | 0.015 |
WCW | {15} | 1.000 | 0.000 | 0.330 | 0.992 | 0.000 | 0.000 | 1.000 | 0.000 | 0.055 | 1.000 | 0.000 | 0.406 | 1.000 | 0.008 | | 1.000 | 0.002 | 1.000 | 1.000 | 0.016 | 1.000 | 1.000 | 0.001 | 1.000 |
<40 | Manager | {16} | 1.000 | 0.030 | 1.000 | 1.000 | 0.101 | 0.872 | 1.000 | 0.008 | 0.994 | 1.000 | 0.003 | 0.994 | 1.000 | 0.997 | 1.000 | | 0.982 | 1.000 | 1.000 | 0.999 | 1.000 | 1.000 | 0.831 | 1.000 |
BCW | {17} | 1.000 | 0.029 | 1.000 | 1.000 | 0.247 | 1.000 | 0.996 | 0.002 | 1.000 | 1.000 | 0.005 | 1.000 | 0.600 | 1.000 | 0.002 | 0.982 | | 0.000 | 0.926 | 1.000 | 0.020 | 0.522 | 1.000 | 0.003 |
WCW | {18} | 1.000 | 0.000 | 0.575 | 0.999 | 0.000 | 0.001 | 1.000 | 0.000 | 0.143 | 1.000 | 0.000 | 0.606 | 1.000 | 0.012 | 1.000 | 1.000 | 0.000 | | 1.000 | 0.008 | 1.000 | 1.000 | 0.005 | 1.000 |
<50 | Manager | {19} | 1.000 | 0.014 | 0.999 | 1.000 | 0.051 | 0.717 | 1.000 | 0.003 | 0.966 | 1.000 | 0.001 | 0.965 | 1.000 | 0.978 | 1.000 | 1.000 | 0.926 | 1.000 | | 0.989 | 1.000 | 1.000 | 0.661 | 1.000 |
BCW | {20} | 1.000 | 0.003 | 1.000 | 1.000 | 0.043 | 1.000 | 1.000 | 0.000 | 1.000 | 1.000 | 0.000 | 1.000 | 0.798 | 1.000 | 0.016 | 0.999 | 1.000 | 0.008 | 0.989 | | 0.172 | 0.720 | 1.000 | 0.029 |
WCW | {21} | 1.000 | 0.000 | 0.956 | 1.000 | 0.000 | 0.018 | 1.000 | 0.000 | 0.576 | 1.000 | 0.000 | 0.927 | 1.000 | 0.189 | 1.000 | 1.000 | 0.020 | 1.000 | 1.000 | 0.172 | | 1.000 | 0.063 | 1.000 |
50+ | Manager | {22} | 0.993 | 0.007 | 0.858 | 0.969 | 0.020 | 0.304 | 0.998 | 0.002 | 0.615 | 0.969 | 0.001 | 0.613 | 1.000 | 0.660 | 1.000 | 1.000 | 0.522 | 1.000 | 1.000 | 0.720 | 1.000 | | 0.268 | 1.000 |
BCW | {23} | 1.000 | 0.888 | 0.998 | 0.998 | 0.995 | 1.000 | 0.911 | 0.533 | 1.000 | 1.000 | 0.323 | 1.000 | 0.315 | 1.000 | 0.001 | 0.831 | 1.000 | 0.005 | 0.661 | 1.000 | 0.063 | 0.268 | | 0.002 |
WCW | {24} | 1.000 | 0.000 | 0.410 | 0.996 | 0.000 | 0.000 | 1.000 | 0.000 | 0.078 | 1.000 | 0.000 | 0.474 | 1.000 | 0.015 | 1.000 | 1.000 | 0.003 | 1.000 | 1.000 | 0.029 | 1.000 | 1.000 | 0.002 | |
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