Nursing Outlook
Volume 60, Issue 1 , Pages 7-15, January 2012

Communication, training, well-being, and commitment across nurse generations

  • Yvonne Brunetto, PhD

      Affiliations

    • Southern Cross University, Tweed Heads, Queensland, Australia
  • ,
  • Rod Farr-Wharton, PhD

      Affiliations

    • University of the Sunshine Coast, Maroochydore, Queensland, Australia
  • ,
  • Kate Shacklock, PhD

      Affiliations

    • Griffith University, Gold Coast Campus, Queensland, Australia
    • Corresponding Author InformationCorresponding author: Dr. Kate Shacklock, Griffith University, Gold Coast Campus, Gold Coast, Queensland, Australia 4222.

Received 21 June 2010; received in revised form 7 March 2011; accepted 12 April 2011. published online 24 June 2011.

Article Outline

Abstract 

Within a context of global nurse shortages, replacing nurses is difficult; training and retention is a critical concern for healthcare management. Similarities and differences in the impact of supervisor-nurse relationships upon satisfaction with training and development, well-being and affective commitment were examined across 3 different nursing generations in Australia. Nine hundred nurses from 7 private hospitals (small, medium, and large) across Australia responded. Path analysis, using an ordinary least squares approach, and multivariate analysis were used to test the hypotheses. Three factors accounted for almost half the variance of Generation Xs’ and Baby Boomers’ and a third of Generation Ys’ affective commitment. Practical implications for hospital management include differences in generations and the pivotal role of nurse supervisors. For all 3 generations of nurses, supervisor-subordinate communication relationships are important because they contribute to satisfaction with training and development and well-being, but also significantly impact affective commitment.

Keywords: Supervisor-nurse communication relationship, Training and development, Psychological, Well-being, Affective commitment, Generational cohorts

 

Replacing nurses has become more difficult and their training and retention has become a critical concern for health care management. Replacement costs are high and turnover negatively affects patient outcomes as well as morale.1 There are acknowledged shortages of nurses in many countries, with other countries such as China and the Philippines becoming “donor” countries.2 Accordingly, health care management leadership needs to ensure that the retention of qualified and valued nurses is a priority, whereas training and retraining is foundational to achieving effective organizational and patient outcomes. Previous research identified the crucial role of nurses’ well-being in commitment, and has examined the important role of nurse-supervisor relationships to well-being and commitment.3, 4 Further, there is an identified link between the supervisor-nurse relationship and nurses’ satisfaction with training and development and affective commitment.5, 6 However, the flattening of hierarchical management structures in health care has been associated with heavier scopes of responsibility and greater numbers of direct reports for managers and supervisors, which may constrain the ability of supervisors to support staff. Importantly, commitment to the organization—affective commitment—is a predictor of turnover.7 Therefore, the links among the supervisor’s role, well-being, training, and commitment are important to understand, yet they remain a void in the literature. Moreover, there are currently 4 generations of nurses at work and little has been examined about influences on their organizational commitment. Although there is previous research about the different generations of nurses at work, there is no consensus about whether each generation shares the same values and beliefs or behaves in similar ways at work.8, 9

Information about what could entice the different generations of nurses to remain in the workplace is limited, and therefore this study will add knowledge to assist those who manage health care to develop targeted retention strategies. This research has important consequences for health care researchers and managers because, as is typical of numerous Organization for Economic Co-Operation and Development (OECD) countries such as the United States, Canada, and the United Kingdom, Australia too has an aging population. Nurses aged 45 years and over currently comprise more than 60% of the Australia nursing workforce. By 2025, the growth in the aged population has been projected to result in an increased demand for hospital bed days of about 40%, at the same time as the population aged less than 30 years (when nursing students typically commence study) is only projected to grow by 8%.10 The consequences for the nursing workforce means that health care management needs to better understand the needs and preferences of the different nurse generations to better retain them. This article investigates a specific component of the quality of management: the supervisor-nurse relationship and, specifically, supervisor communication, in relation to important nurse outcomes. Further, it examines this relationship for its impact on the different generations of nurses.

Back to Article Outline

Background 

Generational Cohorts 

In today’s workforce, there are 4 major and distinct generations: (1) Mature, (2) Baby Boomer, (3) Generation X, and (4) Generation Y.13 This study focuses on the 3 largest groups in Australia’s nursing workforce and adopts the dates as Baby Boomers (BBs, born between 1946 and 1965), Generation X (Gen X, born between 1966 and 1980), and Generation Y (Gen Y, born 1980-2000).

The generational cohort literature suggests that each generation has different values and beliefs, and therefore their behaviors and practices may differ because of their generational-specific experiences.8, 10 For example, BBs tend to have a strong work ethic and value promotion, position, and personal growth, whereas Gen X are better educated, demand a better work-life balance, place lower value on work itself, are unwilling to sacrifice their personal lives for a career, and are less hierarchical.10 Gen Y are the most computer literate and technology-ready, are more likely to pursue training and development opportunities, and are more prepared to move from one organization to take advantage of those opportunities.11, 12 They are more achievement- and career-oriented and more optimistic in their outlook about life.8, 12 Notably, Gen Y dislike hierarchy and are therefore more likely to experience difficulty relating to superiors and less likely to accept the leadership of the nurse supervisor, particularly when that supervisor is older.8 Further, significant differences in leadership characteristics between generations of business students were identified.14

However, some argue that there is insufficient empirical evidence to validate generational differences, suggesting that more research is required to either confirm or refute the generational cohort lens perspective.15 For example, similarities in work involvement, job involvement, work group attachment, and affective commitment were revealed for BBs and Gen X information technology (IT) professionals.15 In one study, BB nurses were found to have lower levels of turnover and higher levels of affective commitment than other generations.8, 16 In contrast, in an Australian organization, other research found no significant differences in levels of trust and affective commitment between Gen X and BBs, but found that Gen X displayed lower continuance commitment and exhibited higher intentions to turnover.17 Similarly, Stuenkel et al found no statistically significant differences between BB and Gen X nurses in the US in terms of peer cohesion, work pressure, clarity, control, and physical comfort, although Gen X nurses did report a higher level of job involvement compared with BBs.9 In summary, there is uncertainty as to the credibility of differences between nurses based on their generation. Based on this literature, the following hypothesis was proposed: Compared with Generations X and Y nurses, BB nurses will have higher levels of satisfaction with supervisors-nurse communication relationships, lower levels of satisfaction with training and development, higher perceptions of well-being, and higher levels of commitment to their hospitals.

Supervisor-Subordinate Communication Relationship 

The supervisor-subordinate communication relationship comprises 4 communication constructs capturing the frequency, mode, content, and flow of communication.18 The theory about frequency of communication is that the quantity of interactions between supervisors and subordinates determines the quality of the relationship that develops.19 The mode of communication concerns the development of an effective supervisor-subordinate relationship, which depends on whether formal or informal modes of communication are used. Formal communication processes refer to hierarchical means of communications such as organizational documents and manuals, or addresses by the CEO or manager. In contrast, informal communications that involve a two-way communication process, such as conversations in the office or informal meetings that permit two-way conversations, more quickly build effective workplace relationships between supervisors and subordinates.18 The 3 communication construct refers to the direct or indirect nature of communication. Indirect communication strategies refer to supervisor practices that empower employees by sharing responsibility and decision-making and involve open communication channels so that employees’ ideas can be heard and discussed. Direct means of communication involve supervisors using their hierarchical power to ensure a command style of communication, which are likely to suppress the development of an effective supervisor-subordinate relationship.20 The fourth communication construct is the quality of the communication flow embedded within the supervisor-subordinate relationship. Relationships between supervisors (Nurse Unit Managers) and subordinates (nurses) build when there are embedded bicommunication mechanisms so that employees are able to ask questions, make suggestions, and interact in the workplace.21

Based on this literature, using all 4 constructs, quality relationships can be expected to build when the workplace is characterized by frequent and informal communication, using indirect means that facilitate bidirectional communication between supervisors and their subordinates. Moreover, the generational cohort literature suggests that Gens X and Y prefer supervisor-subordinate relationships characterized by that sort of communication, creating an empowering nonhierarchical workplace.8, 16 Therefore, it is expected that there will be a difference between BBs compared with Gens X and Y in satisfaction with their supervisor-subordinate relationships.

Back to Article Outline

Satisfaction with Training and Development 

Workplaces are changing in terms of the ways things are done and therefore most new workplaces need to continually update their employees’ knowledge and skills to add value to employees and achieve greater flexibility and creativity. Whereas developmental training is associated more with a broad range of skills including improved critical thinking and decision making, effective team performance, and values/mindset changing, training is defined as a planned activity where job-related competencies are learned by employees.22

Training and development are important for developing organizational human capital and because of the positive impact on affective commitment.6, 23 For nurses, Curtin identified that training and development is an important ingredient in ensuring their longer-term career prospects, whereas McBride argued that lifelong learning is necessary for professional development.24 However, Eisner argued that Gen Ys are more concerned with training and development opportunities than BBs.12 Consequently, Gen Ys are less committed to staying with one organization compared with BBs.12 Previous research identified the importance of supervisor support in affecting satisfaction with training and development opportunities and that the supervisor-subordinate relationship is less important to Gen Ys compared with BBs.8, 25, 26 However, it is unclear whether there is a difference in the impact of the quality of the supervisor-subordinate relationship upon BB, Gen X, and Gen Ys’ satisfaction with training and development.

Back to Article Outline

Employees’ Perceptions of Well-Being 

Employees’ perceptions of well-being significantly affect their outcomes; however, the term has multiple definitions, conceptualizations, and measurements.3 Three categories of conceptualizations of well-being are psychological well-being, physical well-being, and social well-being.27 Although there are numerous conceptualizations of psychological well-being, previous conceptualizations failed to capture all components.28 According to Grant et al, well-being comprises 2 components: the hedonic section (employees’ perceptions of pleasure invoking either negative or positive thoughts or feelings, usually measured by employees’ levels of job satisfaction), and the eudaimonic section (employees’ perceptions of whether they have reached their potential, measured by employees’ feelings of fulfilment in reaching their goals).27 In addition, previous measures have been criticized because they focused on job characteristics but largely ignored the impact of job situation itself; more occupation-specific measurements are called for.29 However, minimal research has measured similarities and differences of factors affecting well-being across generational cohorts.30, 31, 32

Back to Article Outline

Affective Commitment 

Allen and Meyer defined affective commitment as the emotional attachment to, and identification with, an organization—making employees loyal and attached to the organization.33 This is an important factor because Hartmann and Bambacas found a significant link between commitment and intention to quit for casual academic staff in an Australian tertiary institution, supporting earlier research.34, 35 Previous research also suggests that communication practices and the quality of the supervisor-subordinate relationship affect commitment, as do organizational policies (about pay and appraisal methods), management practices, and poor levels of workplace relationships.36, 37, 38 Although there is minimal previous research linking well-being and affective commitment, there is research that links well-being with job satisfaction (and job satisfaction is significantly related to affective commitment) and supervisor-subordinate relationships with well-being.3 However, there has been limited research examining the differences across generational cohorts, and hence the following hypothesis was proposed: For all 3 generational cohorts, there is a positive relationship between supervisor-nurse communication relationship, nurses’ satisfaction with training and development, perceptions of well-being, and levels of affective commitment.

Back to Article Outline

Methods 

Design, Setting, Sample 

In Australia, 40% of hospital beds is provided by the private sector and nonprofit organizations and 60% is provided by the public sector.39 However, the situation is far more complex than it first appears because of the public-private partnerships. This means that public patients are contracted to the private system and vice versa. Although there are some differences in the values and subsequent management practices of nonpublic hospitals, in practice there is substantial similarity in the type of clinical work undertaken and the patient case-mix across both public and private hospitals.40 To capture nurses from different-sized hospitals, the sample includes nurses from urban and regional hospitals, big (metropolitan), medium, and smaller hospitals, across 4 states of Australia. In Australia, a large hospital is generally described as one having more than 500 beds, a medium hospital is described as one having between 300 and 500 beds, and a small hospital is described as one having less than 300 beds. All of the hospitals handled acute care cases and the 2 large hospitals were teaching hospitals, whereas the others were not. Sizes of the hospitals ranged from 160 to 760 beds and their locations were spread across New South Wales, Western Australia, Queensland, and Victoria including 3 metropolitan hospitals and 6 rural hospitals.

This study used a survey-based, self-report strategy to gather data.41 Surveys, including the survey rationale, were sent to 7 private hospitals by internal mail, supported by a cover note explaining the research, plus anonymity was confirmed and informed consent was gained from respondents. Ethics committees at both university and hospital levels approved the study. Respondents sealed their completed survey in an envelope that was returned to the researchers. Nine-hundred completed surveys were received from the 4500 that were sent out, a response rate of 20%. The majority of respondents were female (96.3%), BBs (54%; Gen Xs were 37.8%), registered nurses (57.3%), and with postgraduate qualifications (51.8%) (Table 1). We omitted the “Matures” generation (aged 62+ years) from the analysis because few are working nurses and the sample size was too small.

Table 1. Demographics of the Sample (N = 900)
Gender
Male333.7%
Female86796.3%
Total900100%
AGE
<30 (Gen Y)748.2%
30-45 (Gen X)34037.8%
>45 (BB)48654%
Total900100%
Highest Qualification
Gen YGen XBBTotal
Postgraduate29 (39.19%)147 (43.2%)115 (23.67%)291 (32.3%)
Undergraduate35 (47.30%)82 (24.11%)43 (8.85%)160 (17.8%)
Hospital certification or equivalent8 (10.81%)84 (24.7%)165 (33.95%)257 (28.6%)
Other/technical college/high school2 (2.70%)27 (7.9&)163 (33.5%)192 (21.33%)
Total74 (100%)340 (100%)486 (100%)900 (100%)
Position
Gen YGen XBBTotal
NUM or higher9 (12.16%)53 (15.59%)105 (21.61%)167 (18.55%)
Registered nurses54 (72.97%)207 (60.88%)255 (52.47%)516 (57.33%)
Endorsed nurses7 (9.46%)38 (11.18%)58 (11.93%)103 (11.44%)
Assistant in Nursing0 (0%)1 (0.29%)3 (0.62%)4 (.004%)
Missing4 (5.41%)41 (12.06%)65 (13.37%)110 (12.22%)
Total74 (100%)340 (100%)486 (100%)900 (100%)

Measurement 

The questionnaire consisted of 4 sections taken from 4 established surveys, plus demographic information (Table 2). All item statements were rated using a 6-point Likert-type scale, with 1 = strongly disagree ranging to 6 = strongly agree (see Table 2). Satisfaction with supervisor-subordinate communication relationship (Chronbach’s alpha = .803) is defined as employees’ level of satisfaction with the communication between themselves and their supervisor and was it was operationalized by developing one combined measure using 10 items from the subscales measuring employees’ satisfaction with the frequency of communication (number of contacts), the mode of communication (formal means such as manuals or informal means such as conversations in the hallway), the direction of communication (direct means such as hierarchical autocratic communication or indirect communication that empowers employees), and the flow of communication (either two-way with feedback loops or mostly one-way from supervisor to employee).18 Training and development (Chronbach’s alpha = .85) , which asked about nurses’ satisfaction with training and options for career and skill development, was measured using 6 items taken from Meyer and Smith’s validated test bank.6 Perception of well-being (Chronbach’s alpha = .88) was developed to examine the psychological well-being of nurses and is defined as employees’ attitudes and feelings about the work context.27 It was operationalized using a 4-item validated test bank, developed to address criticisms raised by van der Doef and Maes that more occupation-specific measurements are needed.29, 42 This measure of psychological well-being is specifically suited to nursing and is operationalized as a function of the hedonic part (focusing on nurses’ perceptions of pleasure invoking either negative or positive thoughts or feelings) in addition to the eudaimonic part (focusing on nurses’ perceptions of fulfilment in achieving their goals).27 Affective commitment (Chronbach’s alpha = .87) is defined as an employee’s emotional commitment to an organization and was measured using 7 items from Allen and Meyer’s commitment instrument.33 In this study, supervisor-subordinate communication, training and development, and well-being were independent variables and affective commitment was the dependent variable.

Table 2. Measures Used
Supervisor-Nurse Communication Relationship18
Communication Frequency
My NUM often communicates with me about my job.
I often discuss my work with my NUM.
Communication Mode
Most of the communications I have with my NUM are through memos, work manuals, telephone, or other written directions (reverse score).
I receive the majority of information about my job through formal meetings with my NUM and it is rarely spontaneous (reverse score).
Communication Direction
Most of the communication I have with my manager is done face to face.
Communication flows both from my NUM to me as well as from me to my NUM.
My NUM provides relevant information to me about patients.
My NUM encourages open lines of communication with me.
Communication Content
My NUM communicates with me about my work so that we can agree on the best actions for me to take.
My NUM often describes very specific actions that I should undertake (reverse score).

Training and Development6
The hospital places the right amount of emphasis or importance on training.
There are lots of training opportunities provided for me in this organization.
My training was useful or helpful to me.
I am satisfied with the training I have received so far.
I think my training has helped or will help my career in nursing.
Training is necessary for advancement within nursing.

Well-being42
Eudaimonic part of well-being: Overall, I think being a nurse fulfills an important purpose in my work life.
Eudaimonic part of well-being: Overall, I get enough time in nursing to reflect on what I do at work.
Hedonic part of well-being: Overall I think I am reasonably happy with my work life.
Hedonic part of well-being: Overall, most days I feel a sense of accomplishment in what I do in nursing.

Affective commitment33 (commitment to the hospital)
I would be very happy to spend the rest of my career with this hospital.
I enjoy discussing my organization with people outside.
This hospital has a great deal of personal meaning for me.
I do not feel “emotionally attached” to this hospital (reverse score).
I feel a strong sense of belonging to this hospital.
I do not feel like “part of the family” in this hospital.
I feel strong ties with this hospital.
Location
Where are you located? (a) Queensland, (b) NSW (c) Victoria (d) Western Australia?
Generational cohort
What is your age?…………… years

(Rated on a scale of 1= strongly disagree to 6 = strongly agree)

Data Analysis 

Path analysis was used to test the impact of supervisor-nurse communication relationships on (1) nurses’ satisfaction with training and development, (2) nurses’ perceptions of well-being, and (3) nurses’ levels of affective commitment. Specifically, path analysis using an ordinary least square (OLS) approach was used to test the second hypothesis. OLS provides an explanation of variance (which is the extent to which one variable can account for another variable) as well as the overall “goodness of fit” of the proposed model (which is the extent to which the independent variables in total account for the dependent variable ).43 The advantage of path analysis is that it permits more than 1 path to predict the dependent variable (ie, affective commitment) and therefore it includes the indirect impact of the other variables into the bigger equation (supervisor-nurse communication relationships, training and development, and well-being).44

In addition, a multivariate analysis of variance (MANOVA) was used to examine the impact of generational cohort on 4 dependent variables (supervisor-nurse communication relationships, training and development, well-being, and affective commitment). If the multivariate F value is significant, then it means there is a significant difference in the means for supervisor-nurse communication relationships, training and development, well-being, and affective commitment for Gen Y, Gen X, and BBs.

Back to Article Outline

Results 

Correlation coefficients are presented in Table 3 to show the strength of the linear relationships between the variables. The Cronbach alpha scores measuring reliability for the 4 scales ranged from 0.803 to 0.88.

Table 3. The Means, Standard Deviations, Cronbach Alpha Coefficients, and Correlations
VariableMeanSD1234
1. Communication (combined)3.9481.031(.803)
2. Training4.5341.298.481(.85)
3. Well-being4.389.918.23.321(.88)
4. Affective commit4.0561.237.14.36.341 (.87)

N = 900. Numbers in parentheses on the diagonal are the Cronbach’s alpha coefficients of the composite scales.

Rated on a scale of 1= strongly disagree to 6 = strongly agree).

Correlation is significant at the 0.01 level (2-tailed).

Hypothesis 1 

To test the first hypothesis (compared with Gens X and Y nurses, BB nurses will have higher levels of satisfaction with supervisor-nurse communication relationships, lower levels of satisfaction with training and development, higher perceptions of well-being, and higher levels of commitment to their hospitals), a MANOVA was used to examine the impact of generational cohort on 4 dependent variables (supervisor-nurse communication relationships, training and development, well-being, and affective commitment). The findings evident in Table 4 indicate that there are significant differences in the means for well-being and affective commitment. On the other hand, there was no significant difference in the means for supervisor-nurse communication relationships or training and development for Gen Y, Gen X, and BBs. Table 5 indicates the differences in the mean for Gen Y, Gen X, and BB nurses’ perceptions of supervisor-nurse communication relationships, training and development, psychological well-being, and affective commitment. Hypothesis 1 is partially accepted because BBs do have higher levels of satisfaction with communication with supervisors (although not significantly higher) as well as higher perceptions of well-being and higher levels of commitment to their hospitals. Further, BBs had higher levels of satisfaction with training and development compared with Gen X and Gen Y, although, it was not a significant difference. In addition, each cohort reported being only “slightly” satisfied with their supervisor-nurse communication relationships and satisfaction with training and development, plus their levels of affective commitment were reported as being even lower. However, Gen Y, Gen X, and BBs were on average more satisfied with their perception of well-being, yet these were also reported as only “slightly” satisfied (Table 5).

Table 4. Test of Between-Subjects Effects
SourceDependent VariableFSig.
Corrected modelCombcom.346.708
TrainDev.885.413
Wellbeing15.166.000
AffCommit25.778.000
InterceptCombcom7652.47.000
TrainDev5235.49.000
Wellbeing17866.18.000
AffCommit4994.90.000
Impact of generational cohortCombcom.346.708
TrainDev.885.413
Wellbeing15.166.000
AffCommit25.778.000
Table 5. Estimated Marginal Means: Age
Dependent variableAgeMeanStd Error
CombCommGenY4.064.120
GenX4.090.056
BB4.141.047
TrainDevGenY4.009.143
GenX3.978.067
BB4.092.056
Well-beingGenY4.500.089
GenX4.583.042
BB4.847.035
AffCommitGenY3.446.140
GenX3.832.065
BB4.305.055

Means were rated on a scale of 1 = strongly disagree, 2 = disagree, 3 = slightly disagree, 4 = slightly agree, 5 = agree, 6 = strongly agree.

Hypothesis 2 

To test the second hypothesis (for all 3 generational cohorts, there is a positive relationship between supervisor-nurse communication relationship, nurses’ satisfaction with training and development, perceptions of well-being, and levels of affective commitment), path analysis using the OLS approach was used and the results support the hypothesis proposed. This involved testing for a statistically significant linear relationship between each of the variables, and these are evident in Fig 1 as Pearson correlation coefficients. In addition, path analysis involves the calculating of the “goodness of fit” (r2) value. Figure 1 shows the overall goodness of fit of the model as .414, suggesting that the independent variables (supervisor-nurse communication relationship, nurses’ satisfaction with training and development, perceptions of well-being) in combination explained approximately 41.4% of the variance of nurses’ levels of affective commitment (F = 215.599, P < .001, β for SSCR =.174, P < .001; β for T & D =.279, P < .001; β for WB =.364, P < .001). The β scores are standardized regression coefficients that capture the change in terms of the standard deviation in affective commitment resulting from a change in one standard deviation in the independent variables (supervisor-nurse communication relationship, nurses’ satisfaction with training and development, perceptions of well-being).

  • View full-size image.
  • Figure. 1 

    Supervisor-nurse communication relationship, satisfaction with training and development, perceptions of well-being, and affective commitment for Generation Y, Generation X, and Baby Boomer nurses. ∗Correlation is significant at the 0.05 level (2-tailed). ∗∗Correlation is significant at the 0.01 level (2-tailed).

Back to Article Outline

Discussion 

This paper had 2 foci. The first was to examine the impact of supervisor-nurse communication relationships, nurses’ satisfaction with training and development, and perceptions of well-being on their levels of affective commitment. The second was to examine similarities and differences in impacts across different nurse generations. Some of the findings from this study support previous research, and others do not, particularly in relation to generational cohorts. Remaining findings present new information for the discipline of health care management.

First, using the OLS procedure, the “goodness of fit” identified that these 3 factors (i.e., supervisor-subordinate communication relationship, training and development, well-being) accounted for more than 40% of the variance of all nurses’ level of affective commitment. That is, these 3 variables are important in determining nurses’ commitment to a hospital, and because affective commitment is a predictor of turnover, such information is important for health care managers to consider.

Second, this paper adds new information about the similarities and differences across 3 generations. There was no significant difference in the levels of satisfaction with the supervisor-nurse relationship and training and development across generational cohorts; however, all 3 cohorts were either slightly dissatisfied or barely slightly satisfied with training and development, which must be a concern for management. On the other hand, there were statistically significant differences in perceptions of well-being and affective commitment across the generational cohorts, with BBs having higher perceptions of well-being and affective commitment. One interpretation of this outcome is that BBs experienced a significantly different perception of the same workplace processes compared with Gens X and Y. Nevertheless, this new information adds weight to the validity of a generational cohort explanation.

In terms of individual variables, the findings identify important issues compromising nurses’ commitment to their hospital. For example, in terms of the supervisor-nurse communication relationship, the findings suggest that across the 3 generations, nurses were not even “slightly satisfied” with the quality of their communication relationships. Based on the communication management literature, such findings suggest a workplace lacking in the frequent informal conversations that are more likely to build social capital in the workplace.20, 21 The generational cohort findings support previous research that Gens X and Y preferred a less hierarchal work environment compared with BBs (suggesting a preference for an informal communication processes).8, 10 However, the findings challenge past research that suggested that BBs were comfortable with hierarchical means and modes of communication. Instead, these findings indicate that BBs were as dissatisfied with their supervisor-nurse communication relationship as were Gens X and Y. In addition, the low levels of satisfaction for training and development suggest that no generational cohort was satisfied with management’s provision of training and development, and previous research by Meyer and Smith plus McGunnigle and Jameson had already identified the relationship between training and development, and affective commitment.33,23 This study confirms that relationship for nurses. Further, the findings do not identify a difference in the importance of training and development across the generational cohorts as had previously been argued by Eisner, and therefore more research across generational cohorts in different countries is required to clarify when there are generational cohort differences in training and development attitudes.12 These findings build on previous research about nurses by providing new knowledge about how 3 different nurse generations’ satisfaction with supervisor-subordinate communication relationships, training and development, and perceptions of well-being affect organizational commitment. Because past research has already established a positive relationship between the quality of supervisor-subordinate communication relationships and organizational effectiveness, it is argued that the present conditions are not ideal for optimizing organizational effectiveness in these hospitals; nor is it ideal for retaining nurses.3 Nurse retention is a major issue for the many countries who, like Australia, face shortages of nurses.45 More alarmingly, Australia has one of the lowest retention rates of older workers.46 Hence, without significant changes in supervisor-nurse communication relationships, as well as the provision of training and development, BB nurses will remain only slightly committed to their hospitals, whereas Gens X and Y nurses will remain slightly uncommitted. Because nurses who report dissatisfaction with management policies and practices have a 65% higher probability of intending to quit than those reporting to be satisfied, and affective commitment is a predictor of turnover, these conditions appear less than optimum for retaining any generation of nurses.47

Limitations 

This study has a number of limitations. The main limitation is the use of self-report surveys, causing common methods bias. However, self-reporting methods are legitimate for gathering data about employees’ perceptions, as long as the instrument reflects an extensive literature review and pattern-matching is used to support interpretation of the data and triangulation is used to support research findings.48 Another limitation is that the demographic variables were not measured in this study and could affect the results. In addition, we did not use type or size of hospital in our analysis and this could have an effect on the results. Further research is necessary to examine potential effects absent from this study.

Back to Article Outline

Conclusion 

Using a generational cohort lens provided an insightful framework for examining similarities and differences in the relationship between supervisor-subordinate communication relationships, nurses’ satisfaction with training and development, perceptions of well-being, and, in turn, affective commitment. The findings suggest that even when there are no significant differences in satisfaction levels (with supervisor-nurse communication relationships or training and development) across the nurses, the impact of other factors (perceptions of well-being or affective commitment) was significantly different for BBs compared with Gens X and Y. One explanation for these findings is that nurses’ generational cohort provides a rational account of the differences in their attitudes and perceptions. This explanation suggests the need for generation-tailored supervision strategies to increase retention of these valued employees. Moreover, this study found that present supervision practices are not ideal for promoting effective supervisor-nurse relationships, which appear to be crucial to organizational commitment for all nurse generations.

Back to Article Outline

References 

  1. Hayes L, O’Brien-Pallas L, Duffield C, et al. Nurse turnover: a literature review. Int J Nurs Stud. 2006;43:237–263
  2. Yun H, Jie S, Anli J. Nursing shortage in China: state, causes, and strategy. Nurs Outlook. 2010;58:122–128
  3. Gerstner C, Day D. Meta-analytic review of leader-member exchange theory: correlates and construct issues. J Appl Psych. 1997;82:827–844
  4. Rodwell J, Noblet A, Demir D, et al. Supervisors are central to work characteristics affecting nurse outcomes. J Nurs Sch. 2009;41:310–320
  5. Stinglhambe F, Vandenberghe C. Organizations and supervisors as sources of support and targets of commitment: a longitudinal study. J Org Behav. 2003;24:251–270
  6. Meyer J, Smith C. HRM practices and organisational commitment: test of a mediation model. Canad J Adm Sci. 2000;17:319–332
  7. Palese A, Pantali G, Saiani L. The management of a multigenerational nursing team with differing qualifications: a qualitative study. Heallth Care Manage. 2006;25:173–193
  8. Stuenkel D, Cohen J, de la Cuesta K. The multigenerational nursing work force: essential differences in perception of work environment. J Nurs Adm. 2005;35:283–285
  9. Schofield D. Replacing the projected retiring baby boomer nursing cohort 2001-2026. BMC Health Serv Res. 2007;7:1–6
  10. Kupperschmidt B. Multigeneration employees: strategies for effective management. Health Care Manage. 2000;19:65–76
  11. Glass A. Understanding generational differences for competitive success. Industr Comm Trg. 2007;39:98–103
  12. Eisner S. Managing Generation Y. SAM Adv Manage J. 2005;70:4–15
  13. Hart SM. Generational diversity: Impact on recruitment and retention of registered nurses. J Nurs Adm. 2006;36:10–12
  14. Arsenault P. Validating generational differences: a legitimate diversity and leadership issue. Lead Org Dev J. 2004;25:124–141
  15. Davis J, Pawlowski S, Houston A. Work commitments of baby boomers and gen-Xers in the IT profession: generational differences or myth?. J Comp Info Sys. 2006;46:43–49
  16. Keepnews D, Brewer C, Kovner C, et al. Generational differences among newly licensed registered nurses. Nurs Outlook. 2010;58:155–163
  17. Ferres N, Travaglione A, Firns I. Attitudinal differences between generation-x and older employees. Int J Org Behav. 2003;6:320–333
  18. Johlke M, Duhan D. Supervisor communication practices and service employee job outcomes. J Serv Res. 2000;3:154–165
  19. Kacmar K, Witt L, Zivnuska S, et al. The interactive effect of leader-member exchange and communication frequency on performance ratings. J Appl Psych. 2003;88:764–772
  20. Fisher R, Maltz E, Jaworski B. Enhancing communication between marketing and engineering: the moderating role of relative functional identification. J Market. 1997;61:54–70
  21. Gray J, Laidlaw H. Part-time employment and communication satisfaction in an Australian retail organisation. Employee Rels. 2002;24:211–218
  22. Noe R. Employee training and development. 3rd ed.. Boston: McGraw-Hill/Irvin; 2005;
  23. McGunnigle P, Jameson S. HRM in UK hotels: a focus on commitment. Employee Rels. 2000;22:403–422
  24. McBride A. Breakthroughs in nursing education: looking back, looking forward. Nurs Outlook. 1999;47:114–119
  25. Bartlett K. The relationship between training and organizational commitment: a study in the health care field. HRD Q. 2001;12:335–352
  26. Tracey J, Timothy R, Mathieu J. The influence of individual characteristics and the work environment on varying levels of training outcomes. HRD Q. 2001;12:5–23
  27. Grant A, Christianson M, Price R. Happiness, health, or relationships? Managerial practices and employee well-being tradeoffs. Acad Manage Persp. 2007;21:51–63
  28. Daniels K. Guppy A Stressors, locus of control, and social support as consequences of affective psychological well being. J Occup Health Psych. 1997;2:156–174
  29. Van der Doef M, Maes S. The job demand-control-support model and psychological well-being: a review of 20 years of empirical research. Work Stress. 1999;13:87–114
  30. Blythe J, Baumann A, Zeytinoglu I, et al. Nursing generations in the contemporary workplace. Pub Pers Manage. 2008;37:137–160
  31. Wieck K, Dols J, Landrum P. Retention priorities for the intergenerational nurse workforce. Nurs Forum. 2010;45:7–17
  32. Wilson B, Squires M, Widger K, et al. Job satisfaction among a multigenerational nursing workforce. J Nurs Manage. 2008;16:716–723
  33. Allen N, Meyer J. The measurement and antecedents of affective, continuance, and normative commitment to the organisation. J Occup Psych. 1990;61:1–18
  34. Hartmann L, Bambacas M. Organizational commitment: a multi method scale analysis and test of effects. Int J Org Anal. 2000;8:89–108
  35. Meyer J, Allen N. Commitment in the workplace: theory, research and application. Thousand Oaks, CA: Sage Publications; 1997;
  36. Brunetto Y, Farr-Wharton R. The importance of effective organisational relationships for nurses: a social capital perspective. Int J HRD. 2006;6:232–247
  37. Buchanan J, Considine G. “Stop telling us to cope”: NSW nurses explain why they are leaving the profession. Report for the NSW Nurses Association Sydney: Univ of Sydney; 2002.
  38. Newman K, Maylor U, Chansarkar B. The nurse satisfaction. Service quality and nurse retention chain: implications for management of recruitment and retention. J Manage Med. 2002;16:271–292
  39. Gee C. The contribution of the Australian private sector hospitals sector. Asian Pac J Health Manage. 2007;2:41–46
  40. Brown L, Barnett J. Is the corporate transformation of hospitals creating a new hybrid healthcare space?. Social Sci Med. 2004;58:427–444
  41. Ghauri P, Grønhaug K. Research methods in business studies: a practical guide. 2nd ed.. Harlow, UK: Financial Times Prentice Hall; 2002;
  42. Brunetto Y, Farr-Wharton R, Shacklock K. Using the Harvard HRM model to conceptualise the impact of changes to supervision upon HRM outcomes for different types of public sector employees. Int J HRM. 2011;22:553–573
  43. Ahn J. Beyond single equation regression analysis: path analysis and multi-stage regression analysis. Am J Pharm Educ. 2002;66:37–42
  44. Grapentine T. Path analysis vs. structural equation modeling. Market Res. 2000;12:13–20
  45. OECD. Maintaining a prosperous society: ageing research report. Paris: Organisation for Economic Co-operation and Development; 2003;
  46. OECD. Ageing and employment policies–Australia. Paris: Organisation for Economic Cooperation and Development; 2005;
  47. Secombe I, Smith G. Taking part: registered nurses and the labour market in 1997. Grantham, UK: Grantham Book Services; 1997;
  48. Spector P. Using self-reported questionnaires in OB research: a comment on the use of a controversial method. J Org Behav. 1994;15:385–392

PII: S0029-6554(11)00127-8

doi:10.1016/j.outlook.2011.04.004

Nursing Outlook
Volume 60, Issue 1 , Pages 7-15, January 2012