Exploring the causal relationship between the antecedents and consequences of talent management for early career academics in South African higher education institutions

Higher education institutions (HEIs) are finding it increasingly difficult to attract and retain skilled, innovative and talented individuals in the global war for academic talent (Mokgojwa, Barkhuizen, & Schutte, 2017). The lack of younger individuals entering South African HEIs is concerning and can hinder its future stability and contribution to a developing country (The South African Council on Higher Education, 2014). The changing context of academia further challenges early career academics to understand and negotiate their career pathways (Price, Coffey, & Nethery, 2015). Clearly, it becomes the responsibility of institutions of higher learning to ensure that they address the dilemmas experienced by academics in their early career phase (Makondo, 2014; Onah & Anikwe, 2016).


Introduction
Higher education institutions (HEIs) are finding it increasingly difficult to attract and retain skilled, innovative and talented individuals in the global war for academic talent (Mokgojwa, Barkhuizen, & Schutte, 2017).The lack of younger individuals entering South African HEIs is concerning and can hinder its future stability and contribution to a developing country (The South African Council on Higher Education, 2014).The changing context of academia further challenges early career academics to understand and negotiate their career pathways (Price, Coffey, & Nethery, 2015).Clearly, it becomes the responsibility of institutions of higher learning to ensure that they address the dilemmas experienced by academics in their early career phase (Makondo, 2014;Onah & Anikwe, 2016).(Robyn & Du Preez, 2013).Secondly, many older-generation academics will be retiring soon.A report by the Department of Higher Education and Training (2015) shows that more than 2500 academic staff members will retire within the next 3-5 years from South African public HEIs.Further estimates show that more than 6000 new academics will be required in the next five years to cater for increased student numbers and to replace staff who retire.The absence of a pipeline of upcoming scholars will result in a critical loss of knowledge because of a lack of transfer of knowledge from seasoned academics (Pienaar & Bester, 2008).Thirdly, there is a great deal of evidence to suggest that HEIs do not compensate early career academics adequately (Onah & Anikwe, 2016).Research by Higher Education South Africa (2014) showed that academics employed as junior lecturers and lecturers earned moderately less than their counterparts in the public sector.Younger generation employees are likely to leave higher education for better rewards and benefits (Erasmus, Grobler, & van Niekerk, 2015).Higher Education managers are therefore challenged to develop innovative talent management strategies that will attract and retain early career talent.

Purpose of the study
A truly holistic perspective on talent management for academic staff is still lacking, which limits higher educational management to effectively manage the careers of early career academics from start to finish (Saurombe, 2017).This research attempts to provide a holistic perspective on the talent management of early career academics by exploring the causal relationships between the antecedents of talent management (i.e.talent attraction, management support), talent management practices (i.e.talent development, compensation and recognition, institutional practices) and consequences of talent management (i.e.intention to quit; organisational commitment).
Currently there is no agreement on the classification of early career academics.McAlpine and Akerlind (2010) highlighted the difficulties in terms of determining who early career academics are and their development as academics.Historically it was believed that early career academics include those within their first five years of appointment (Bazeley, 2003).Others view early career scholars as ranging from post-doctoral researchers or teaching fellows, probationary academics, pre-tenured faculty members, to PhD students with teaching responsibilities (Gale, 2011).Consequently, the diversity of definitions and opinions regarding early career academics makes it difficult to pinpoint the exact years of tenure and qualifications required for novice scholars.Bosanquet, Melly, Matthews and Lodge (2017) argue that the employment context in higher education necessitates the redefinition of 'early career' in academia.
For purposes of this research we regarded early career academics as those who had between 1 and 15 years' work experience in higher education and were employed as a junior lecturer, lecturer or senior lecturer.Our classification was based on the unequal application of promotion practices in South African HEIs (Bitzer, 2009), blurred differentiation between academic job levels (Mouton, Louw, & Strydom, 2013) and historical racial imbalances (Archer, 2017).This research article is structured as follows.First a literature review is presented on the antecedents and consequences of talent management for early career academics.This is followed by a discussion of the research method applied in this study and the results.This article concludes with a discussion of the results and the recommendations for practice and further research.

Talent management defined
Talent management involves the implementation of integrated human resource management (HRM) strategies to attract, develop, retain and productively utilise employees 'with the required skills and abilities to meet current and future business needs' (Kontoghiorghes & Frangou, 2009).It is a culture that contributes to and unleashes the passion, commitment and performance of people, which in turn contributes to the organisation achieving its mission, vision and business goals (Barkhuizen & Stanz, 2010).HEIs should create a talent culture conducive for the achievement of multiple priorities relating to the working environment, such as recruitment and retention, performance management, succession planning and engagement, and should ensure that these become strategic talent management imperatives (Pienaar & Bester, 2008;Netswera, Rankhumise, & Mavundla, 2005).
Talent management models for higher education institutions Barkhuizen and Schutte (2016) developed the comprehensive talent life-cycle model that can be used to guide the entire process of talent management in higher education.This model proposes that talent management starts with a higher educational leadership mindset and commitment towards academic talent.Flowing from that, institutions of higher learning need to prepare their branding to attract talented scholars.Once acquired, talented individuals should be mapped and fitted into the positions that best meet their skills, to further ensure their engagement with and commitment to the workplace.Effective talent development opportunities and proper performance management systems should be put in place to ensure the career growth and subsequent retention of talent.Barkhuizen (2014) developed a model that can be used to guide strategic talent management in HEIs.According to the Strategic Talent Management model, an integrated talent management strategy needs the human resource strategy and business strategy of HEIs to be aligned.Once this is in place, higher education can focus on attracting and recruiting a desirable pool of talent.Higher education also needs to develop a brand that will attract the right employees (Saurombe, Barkhuizen, & Schutte, 2017).Furthermore, HEIs need to acknowledge and value talented individuals as a key resource.The right people need to be selected and deployed in suitable positions.Thereafter, sound talent management practices, specifically talent development, rewards and performance management, should be maintained through continuous management commitment (Mokgojwa et al., 2017).Appling talent management practices effectively leads to reduced turnover and improved individual outcomes in terms of the psychological contract, specifically work engagement, vigour, job satisfaction and motivation (Barkhuizen, 2015).This in turn has a positive influence on organisational outcomes, such as increased service quality and performance, which eventually lead to overall organisational success.Saurombe (2017), in her study among higher educational management, developed the Talent Value Proposition Model to assist with the effective talent management of academic staff.The model depicts the following aspects, all of which collaborate towards the establishment of a talent value proposition for academic staff: • organisational brand (consisting of reputation and image, culture and identity, strategic vision, corporate social responsibility, and work environment and surrounds) • employment brand (consisting of fringe benefits, incentives and remuneration; leadership and managerial support; worklife balance; management and development of performance; occupational health and safety, job security; and fulfilment and purpose) • talent life-cycle.
At last, the model depicts that after the organisational brand, employment brand and talent life-cycle processes have unfolded within the institution, these concepts then collaborate towards the establishment of a talent value proposition for academic staff members.In order for this talent value proposition to be most effective, it must take the following elements into consideration: the importance of having a talent value proposition, the mutual expectation involved in a talent value proposition, as well as the challenges involved in implementing a talent value proposition.

Antecedents of talent management
For purposes of the present study, the antecedents of talent management are identified as management support and talent attraction practices.

Management support
Management's mindset is important for the effective management of talent in organisations.According to McArdle and Ramerman (2008), management commitment towards talent unleashes the passion, commitment and performance of people, which in turn contributes to the organisation achieving its mission, vision and goals.According to Garrow and Hirsh (2008), most senior managers have a tendency to support a programme that is aligned with the business strategy.The business strategy serves as a guide for the organisation's choice of the kind of talent to attract, develop and retain in order to have correctly skilled, committed and engaged employees to deliver excellent services or quality goods (Armstrong, 2006).Human resource and talent managers are tasked to align human capital and business strategies to ensure the successful implementation of any talent management model (Schutte, 2015).
A study by Theron, Barkhuizen and Du Plessis (2014) showed that academic staff experienced sufficient support from their managers but felt that performance management and feedback needed improvement.In contrast, Netswera et al. (2005) found that HEI managers were more focused on profits, business sustenance and justification for spending, whereas employees were driven by introverted interests, such as development, monetary rewards and personal fulfilment.According to Phillips and Connell (cited in Pienaar & Bester, 2008), top management underestimates the value and gravity of talent retention, and consequently the reasons for and solutions to labour turnover are not correctly identified.

Talent attraction
According to Myburgh (2015) a solid employer-branding component is the foundation of talent attraction.A study by Botha, Bussin and De Swart (2011) showed that factors such as employee value proposition, people strategy, brand consistency, communication of employer brand and measurement of employer brand efforts are important for the attraction of prospective talent to organisations.Selesho and Naile (2014) found that the reputation of the academic profession in society attracts potential scholars to HEIs.Onah and Anikwe (2016) postulated that a conducive learning and working climate, job flexibility, recognition, rewards and compensation, and effective employee training and development will attract academics to HEIs.A study by Makondo (2014) showed that professional support, remuneration and teaching load contribute to the attraction of academic staff.

Talent management practices
For purposes of the study, talent management practices are divided into talent development, compensation and recognition, and institutional practices.

Talent development
Talent development refers to a process of providing individuals with an opportunity to grow through challenging experiences, coaching and mentoring (O'Callaghan, 2008).
According to Garrow and Hirsh (2008), organisations should develop employees who will be able to advance in their careers.Phillips and Edwards (cited in Mukweyi, 2016) maintain that, when organisations develop their people's talent, the overall talent pool increases and the war for talent decreases.
http://www.sajhrm.co.zaOpen Access The importance of talent development opportunities for academic staff is well documented.Singh (2015) found that the availability of talent development resulted in an increased number of accredited publications by staff members, an increased number of staff with doctorates, increased awareness of funding opportunities and increased postgraduate supervision output.Studies by Busch and Ledingham (2016) and Selesho and Naile (2014) showed that a lack of infrastructure for talent development and a lack of talent development opportunities were key factors in the turnover intentions of early career academics.

Compensation and recognition
Smit , Stanz and Bussin (2015) emphasised the need to develop and implement a relevant compensation and reward strategy for effective talent management.According to Munsamy and Bosch Venter (2009), non-monetary factors should not be overlooked, as these might also have an impact on the retention and attraction of employees.Remuneration practices are important factors in the attraction and retention of new academics, especially from historically disadvantaged ethnic groups in South Africa (Netswera et al., 2005).In South Africa, there is a critical need for black academics who can make contributions to their disciplines and professional associations, and through publications address matters of national concern (Nkomo, in Bitzer, 2008).

Institutional practices
The retention of academic staff is affected by various institutional shortcomings, such as a lack of mentorship, a lack of adequate state and research funding, uncompetitive research incentives and employment equity initiatives (see Bitzer, 2008;Netswera et al., 2005).Over the past two decades, state and private sector research funding of public universities has significantly declined (De Villiers, & Steyn, 2009).As a result, public university academics have been compelled to become 'academic capitalists' and to generate a third stream of income that will benefit the individual and the institution (Ntshoe, Higgs, Higgs, & Wolhuter, 2008).
According to Deem (cited in Ntshoe et al., 2008), academic staff of publicly funded universities operate in an increasingly competitive environment, deploying their academic capital, which may comprise teaching, research, consultancy skills or other applications of form academic knowledge.The work of academics has thus become more emotionally demanding and fragmented, which implies a loss of professional autonomy, scholar identity and psychological ownership (Bitzer, 2008).This could result in academic careers becoming less attractive and public HEIs not being preferred employers.

Consequences of talent management
The present research focused on organisational commitment and turnover intentions as outcomes of talent management.

Organisational commitment
Organisational commitment continues to be one of the most frequently researched attitudinal variables in the workplace with which to understand human behaviour.Porter, Steers, Mowday and Boulian (1974) originally defined organisational commitment as 'the relative strength of an individual's identification with and involvement in a particular organisation'.Allen and Meyer (1990) expanded on the theory of Porter and colleagues by conceptualising organisational commitment as a three-dimensional construct consisting of the following dimensions: affective commitment (i.e. the extent to which an employee identifies with the organisation and enjoys being part of the organisation), continuance commitment (i.e. the extent to which an employee believes he or she should remain with the organisation, because he or she made an investment in the organisation) and normative commitment (i.e. the extent to which an employee feels obliged to remain with the organisation).
Mohamed and El-Shaer (2013) postulated that the strength of the academic profession depends on the commitment of its members.These authors further stated that professional commitment can assist academic staff to persist in their profession and to develop specialised skills.According to Hundera (2014), the extent to which academics are satisfied with aspects such as work in general, their supervisor, co-workers, compensation and promotion could have a significant impact on their level of organisational commitment.

Intention to quit
According to Schlecther, Syce and Bussin (2016) it is continuously important for organisations to adopt turnover risk management strategies to ensure organisational stability and promote the effective retention of employees.Intention to quit is regarded as the most immediate determinant factor of the actual behaviour of employees (Barkhuizen & Rothmann, 2006).Voluntary turnover intentions of academic staff have emerged as a significant problem for South African HEIs (Theron et al., 2014).
A study by Barkhuizen, Schutte and Nagel (2017) showed that talent management practices such as talent acquisition, talent deployment, talent development, executive support and remuneration were significant predictors of academic staff turnover intentions.According to Pienaar and Bester (2008) labour turnover of academics has negative consequences for HEIs in terms of the loss of knowledge and experience and the time and cost related to training novice academics.

Toward a hypothesised model for this study: Relating talent antecedents, practices and outcomes
The relationship between talent management practices and turnover intentions is well documented.A study by Theron et al. (2014) showed that more than half of academics considered quitting their jobs for better compensation elsewhere.Other studies found that a lack of talent management practices relating to talent development and performance management exacerbated employees' intentions to quit their jobs in government institutions such as HEIs (Barkhuizen, Diseko, & Schutte, 2015;Magolego, Barkhuizen, & Lesenyheo, 2013;Mpofu & Barkhuizen, 2013).Research has shown that practices relating to talent attraction, such as a lack of preparation for talent, poor recruitment, poor workforce planning and ineffective talent deployment, are significant predictors of employees' intentions to leave an organisation (Pienaar, 2013;Veldman, 2011).Onah and Anikwe (2016) found that the brain drain, the gender pay gap, unattractive salaries and a lack of adequate training are important factors that hamper the attraction and retention of academic staff.
A lack of management support towards talent has been consistently linked to high turnover intentions of employees (Barkhuizen, 2014).Barkhuizen, Welby-Cooke, Schutte and Stanz (2014) found that executives do not spend sufficient time strengthening talent pools and are not trained in the best practices and latest techniques to develop, mentor and nurture talent.On the other hand, the availability of supervisor support has been found to enhance the affective commitment of part-time academic staff members (Matata, Elegwa, & Maurice, 2014;Mohamed & El-Shaer, 2013).
Studies have also highlighted the positive effects of talent management on academic staff, if effectively applied.
According to Joiner and Bokalis (2006), factors such as role clarity, resource availability, supervisor support, co-worker support, tenure and opportunities to study enhance the organisational commitment of academic staff (Joiner & Bokalis, 2006).Rungruang (2012) found several antecedents of the organisational commitment of academic staff, which includes, among others, relationship with co-workers, support from the university, relationship with management and students, compensation, professional status and welfare benefits.Organisational commitment reduces academic staff members' intention to quit their jobs when organisational support and HRM practices (i.e.career development) are available (Hundera, 2014;Khan et al., 2014;Lew, 2010).
Based on the above, a hypothesised model for this study is presented in Figure 1.
This model leads to the following integrated hypothess for the study: antecedents There would be a significant positive relationship between the antecedents of talent management (i.e.talent attraction and management support) and organisational commitment.
There would be a significant, positive relationship between talent management practices (i.e.talent development, compensation and recognition and institutional practices) and organisational commitment.
There would be a significant negative relationship between the antecedents of talent management (i.e.talent attraction and management support) and intention to quit.H 4 : There would be a significant negative relationship between talent management practices (i.e.talent development, compensation and recognition and institutional practices) and intention to quit.

H 5 :
Organisational commitment moderates the relationship between the antecedents of talent management (i.e.talent attraction and management support) and intention to quit.H 6 : Organisational commitment moderates the relationship between talent management practices (i.e.talent development, compensation and recognition and institutional practices) and intention to quit.

Research approach
A quantitative research approach was followed in this study, using surveys to collect the data.This research was crosssectional in nature, which, according to Field (2009), is ideal for the testing of cause-and-effect relationships between variables.

Research participants
The respondents were academic staff from 11 public HEIs in South Africa.A total of 294 surveys were distributed to a purposive convenience sample of early career academics.A response rate of 40% (n = 117) was achieved.Fifty-one point three per cent of the sample consisted of women, while male respondents made up 46.2% of the sample.The ethnicity of the sample was divided into 47.9% white, followed by black Africans (37.6%), 7.7% Indians and 3.4% mixed race.The age group with the highest number of respondents was 40-49 years (34.0%),while, on an accumulative basis, 82.0% of the respondents were older than 40 years.The largest single group of respondents was those in possession of a master's degree (49.6%), and, combined, 75.4% of the respondents had either a master's degree or a doctorate.The largest group of respondents was employed on the lecturer level (54.7%), followed by the senior lecturer level (33.3%).The majority of respondents had 0-5 years' work experience in academia (53.0%) and had been employed for 0-5 years in their current job (70.9%).

Measuring instruments
The following measurements were used in this study: Talent retention factors were measured by following the talent retention diagnostic tool as developed by Theron et al. (2014).
The tool consisted of the following four sections: • Compensation and Recognition Scale: This section of the questionnaire measured nine items related to compensation and recognition on a six-point scale ranging from strongly disagree (1) to strongly agree (6).This questionnaire obtained an acceptable internal consistency of 0.882.
• Management Support Scale: The respondents were requested to indicate how they rated their relationship with their immediate supervisor or direct line manager.Nine items referring to trust, communication, feedback, career development, communication and performance appraisals were presented, measured on a six-point scale ranging from strongly disagree (1) to strongly agree (6).This questionnaire obtained an acceptable internal consistency of 0.934.
• Satisfaction with Institutional Practices Scale: This adapted questionnaire measured general satisfaction with institutional practices, that is, institutional leadership, values, strategies, communication, talent management (nine items) and satisfaction with research funding (four items).Responses were measured on a four-point Likert scale ranging from extremely dissatisfied (1) to extremely satisfied (4).This questionnaire obtained an acceptable internal consistency ranging from 0.783 to 0.923.
• Intention to Quit Scale (Cohen, 1993).The questionnaire consisted of three items and assessed early career academics' intention to leave.Responses were measured on a six-point Likert scale ranging from strongly disagree (1) to strongly agree (6).Acceptable internal consistencies were obtained of above 0.90 for this in several South African studies.
• Organisational Commitment: The questionnaire consisted of 15 items and was developed by Allen and Meyer (1990) to measure affective, normative and continuous commitment.
Responses were measured on a six-point Likert scale ranging from strongly disagree (1) to strongly agree (6).Acceptable internal consistencies were found for this measure (Sage, 2012).

Research procedure
Permission for the project was first obtained from the head of skills development of Higher Education South Africa.
The questionnaires for the research project were distributed via the skills development facilitators, in hard copy, to a purposive convenience sample of academics in the identified HEIs.Permission to use the questionnaires was obtained from the relevant developers and subjected to an ethical clearance process.Completed questionnaires were treated anonymously, to protect the identity of the respondents.

Data analyses
Data analyses were carried out with the aid of SPSS software (SPSS, 2016).Exploratory factor analyses were applied to determine the factor structure of the measurements.Cronbach's alphas were used to determine the reliability of the scale and its items.A cut-off point of 0.7 was used as a guideline for acceptable reliabilities (Field, 2009).
Pearson correlation analyses were performed to test for the significance of relationships between the variables.Multiple regression analyses were applied to test for the moderating effect between the variables.

Ethical consideration
Ethical clearance for the research was provided by North-West University.

Factor and reliability analyses Talent Attraction Scale
Principal component analyses were performed on the 25 items of the Talent Attraction Scale.The initial results showed that eight factors could be extracted, based on the eigenvalues.A subsequent principal component analysis was performed using varimax rotation to specify eight factors.One item was deleted because of problematic loadings.The eight factors explained 75.087% of the variance and were labelled job security (Factor 1), autonomy (Factor 2), innovation (Factor 3), contribution (Factor 4), career advancement (Factor 5), intellectual stimulation (Factor 6), work-life balance (Factor 7) and opportunity to apply skills (Factor 8).The eight factors were subjected to a second-order factor analysis.Three factors (opportunity to apply skills, work-life balance and intellectual stimulation) were excluded because of low reliability loadings.The factor analysis resulted in one factor that explained 47.684% of the variance, which was labelled talent attraction.The career advancement factor was further excluded because of problematic loadings.

Talent development scale
Principal component analyses were performed on the 15 items of the Talent Development Scale.The initial results showed that three factors could be extracted based on the eigenvalues.A subsequent principal component analysis was performed using varimax rotation to specify three factors.Four items were deleted because of problematic loadings.The three factors explained 68.050% of the variance and were labelled role clarity (Factor 1), skill utilisation (Factor 2) and participation in career decisions (Factor 3).The three factors were subjected to a second-order factor analysis.The factor analysis resulted in one factor that explained 59.976% of the variance, which was labelled career development.

Compensation and recognition
Exploratory factor analysis using the principal component method was conducted on the nine items of the Compensation and Recognition Scale.The results showed one underlying factor that explained 53.514% of the variance.The item loadings were acceptable, ranging from 0.639 to 0.820.The factor was labelled compensation and recognition.

Management support
An exploratory factor analysis using the principal component method was conducted on the nine items of the Management Support Scale.The results showed one underlying factor that explained 69.333% of the variance.The item loadings were acceptable, ranging from 0.865 to 0.901.The factor was labelled management support.

Satisfaction with institutional practices
Exploratory factor analyses using the principal component method were performed on the 13-item measure.The results showed two underlying factors that explained 61.529% of the variance.The factors were labelled satisfaction with general institutional practices (Factor 1) and satisfaction with institutional funding opportunities (Factor 2).All items showed acceptable loadings, ranging from 0.520 to 0.856.A second-order factor analysis was performed on the two factors.The factor analysis resulted in one factor that explained 73.261% of the variance, which was labelled satisfaction with institutional practices.

Intention to quit
Exploratory factor analysis using the principal component method was performed on the three-item measure.The results showed one underlying factor that explained 85.478% of the variance.The factor was labelled intention to quit.

Organisational commitment
Exploratory factor analysis using the principal component method was conducted on the 15-item measure.Four items were deleted because of problematic loadings.The results showed one underlying factor that explained 85.478% of the variance.The factor was labelled organisational commitment.
Descriptive statistics of the measurements are reported in Table 1.
The results in Table 1 show very good to excellent reliabilities for the measurements, where the guideline is α ≥ 0.70.The respondents were in agreement that talent attraction factors, management support and career development opportunities were available.Respondents were slightly satisfied with compensation and recognition and institutional practices.About half of the participants (49%) considered quitting their institution.Most the participants appeared to be committed to their respective institutions.
Next, the results of testing of the hypotheses are reported.

Testing of hypotheses
The results of the Pearson correlations are reported in Table 2.
The results in Table 2 show that compensation and recognition is significantly positively related to organisational commitment (medium effect) and negatively related to intention to quit (large effect).Management support is significantly positively related to organisational commitment (medium effect) and significantly negatively related to intention to quit (small effect).Institutional factors are significantly positively related to organisational commitment (large effect) and significantly negatively related to intention to quit (medium effect).Talent development is significantly positively related to organisational commitment (medium effect) and significantly negatively related to intention to quit (small effect).Talent attraction is significantly positively related to intention to quit (medium effect).Organisational commitment is significantly negatively related to intention to quit (large effect).
The above results partially confirm Hypotheses 1, 2, 3 and 4, that the antecedents of talent management (such as  Next, the multiple regression analyses for the interactive relationship of organisational commitment as moderator are presented.All the independent variables were centred.In Models 1 and 2, the effects of the independent variables were entered, while in the third model the interaction term was also entered.The results are reported in Table 3.
The results in Table 3 show no significant relationship when adding organisational commitment as moderator in the interactive relationship between talent attraction, talent development, compensation and recognition, management support, institutional factors and intention to quit.Organisational commitment, therefore, does not moderate the relationships between these variables.
Based on these results, Hypotheses 5 and 6 are rejected.

Discussion
The main objective of this research was to explore the causal relationships between the antecedents and consequences of talent management for early career academics in public South African HEIs.The antecedents were identified as talent attraction factors and management support, and the consequence factors were identified as organisational commitment and intention to quit.Talent management practices (i.e.talent development, compensation and recognition and institutional practices) were used as moderating factors between the antecedent and consequence factors The results showed no significant relationship between talent attraction factors and organisational commitment.In contrast with previous studies (see Matata, Elegwa, & Maurice, 2014;Mohamed & El-Shaer, 2013), the availability of talent attraction factors in this study will not influence positive organisational behaviours such as the organisational commitment of early career academics.Talent attraction was significantly positively related to turnover intentions of the participants.This is an interesting finding, as one would expect early career academics to remain within HEIs when talent attraction practices are available.However, it is worth mentioning that almost half of the respondents in this study considered quitting their jobs.
In this study it was evident that early career academics perceived high levels of management commitment towards talent management in their respective institutions.The availability of management support enhanced the organisational commitment of the early career academics in this sample and reduced their turnover intentions.The presence of management support for talent management in this study is an indicator that early career academics are considered as important drivers for the execution of the business strategy of HEIs (see Armstrong, 2006;Garrow & Hirsch, 2008).In line with previous studies, the results  Bokalis, 2006;Matata et al., 2014) and plays an important role in the retention of this occupational group (Hundera, 2014).
The results further show that talent management factors such as talent development, compensation and recognition and satisfaction with institutional practices are significantly positively related to organisational commitment of early career academics.In line with other research findings, opportunities for career development, adequate remuneration and recognition and support from the university will enhance positive work-related behaviours such as the organisational commitment of early career academics (Rungruang, 2012).The present study also confirms that the availability of talent management practices will reduce the turnover intentions of academics (see Hundera, 2014).No moderating relationships were found in this study.

Practical implications
The results of this research lend themselves to several practical applications for HEIs to manage early career talent more effectively.The results showed that management support for talent is an important antecedent variable that reinforces positive work-related behaviours such as organisational commitment and reduces the turnover intentions of early career academics.The availability of management support towards talent in this study provides an opportunity for human resource practitioners to develop academic talent management strategies that are aligned with the business strategy of higher education.Although the management support towards talent in this study seemed promising, further results emphasised the need to improve the career development prospects and compensation and recognition practices for early career academics.Talent management entails a strategic integrated process whereby the complete talent life-cycle of academics needs to be managed effectively from start to finish.

Limitations and recommendations
This research had some limitations.Firstly, a cross-sectional research approach was followed whereby responses were collected at one point in time.Given the current changing situation of HEIs, these perceptions are likely to change over the long term.Therefore longitudinal research should be applied to detect turnover intentions of early career academics over the long term.Secondly, this research only focused on early career academics.As a result the findings cannot be generalised to other academic job levels.
For future research it is recommended that the sample size be expanded to other academic job levels to do a comparative analysis on the antecedents and consequences of all academic cohorts in higher education.This research should also be expanded to include higher education management and HRM departments to obtain a more holistic stakeholder perspective on talent management and how it can best be aligned with the business strategy.Future studies can also benefit from applying mixed method research methodologies.This research yielded some interesting results, which could further be explained by follow-up interviews or focus groups.

Conclusion
In conclusion, this research presented an overview of the factors that can advance and constrain the effective talent management of early career academics in South African HEIs and the potential outcomes thereof.The results of this research suggest that HEIs need to focus on the redesign of compensation and recognition practices, as well as training and development initiatives, to reduce the turnover intentions of early career academics.This research again highlighted the importance of management support and commitment towards talent management initiatives.

TABLE 1 :
Descriptive statistics of the measurements.

TABLE 2 :
Pearson correlation analyses between variables.

TABLE 3 :
Multiple regression analyses with organisational commitment as moderator between variables.