International Journal of Civil Engineering and Technology (IJCIET) Volume 10, Issue 03, March 2019, pp. 1065–1077, Article ID: IJCIET_10_03_104 Available online at http://www.iaeme.com/ijmet/issues.asp?JType=IJCIET&VType=10&IType=3 ISSN Print: 0976-6308 and ISSN Online: 0976-6316 © IAEME Publication Scopus Indexed MEASURING THE DYNAMIC MODEL OF EMPLOYEE RESOURCING STRATEGIES, CORPORATE IMAGE AND JOB PERFORMANCE IN ICT DRIVEN UNIVERSITIES Adeniji, A. A; Falola, H. O, Osibanjo, A.O and Ogueyungbo O. Department of Business Management, Covenant University, Ota, Ogun State, Nigeria Adeyeye, J. O Department of Business Administration, Federal University, Abakaliki, Ebonyi Correspondent Author Email: hezekiah.falola@covenantuniversity.edu.ng ABSTRACT Employee resourcing strategies are fundamental to the survival and sustainable development of any institution in the face of increasingly competitive academic environment. This study investigates the effect of employee resourcing strategies on job performance and corporate image in some selected private universities in Southwest Nigeria. In order to achieve the objectives of the study, a total of 500 copies of the questionnaire were given to the Faculty and Principal Officers of the six (6) selected private universities with the adoption of stratified and simple random sampling methods, from which four hundred and forty- three (443) were collected and analysed. Structural Equation Model (AMOS 22) was used for the analysis. The results showed significant effect of employee resourcing strategies on job performance and University's corporate image. The insights gained from this study would help stakeholders in higher education institutions to develop all- inclusive resourcing strategies and strong institutional policies and procedures to maintain and sustain competitiveness. Key words: Employee Resourcing, Strategies, Corporate Image, Job Performance, Private Universities. Cite this Article: Adeniji, A. A; Falola, H. O, Adeyeye, J. O, Osibanjo, A.O and Ogueyungbo O., Measuring the Dynamic Model of Employee Resourcing Strategies, Corporate Image and Job Performance in ICT Driven Universities, International Journal of Civil Engineering and Technology 10(3), 2019, pp. 1065–1077. http://www.iaeme.com/IJCIET/issues.asp?JType=IJCIET&VType=10&IType=3 http://www.iaeme.com/IJCIET/index.asp 1065 editor@iaeme.com Adeniji, A. A; Falola, H. O, Adeyeye, J. O, Osibanjo, A.O and Ogueyungbo O. 1. INTRODUCTION Talent development have always been one of the strategies used to build sustainable economic and social development in a knowledge-based economy (OECD, 2012). Tertiary education plays an important role in the development of skills and knowledge of employees and the economic wealth of any nation (Dill & Van- Vught, 2010; Jain, 2015). Universities in Nigeria are characterized by massive growth, greater participation and a high student enrolment rate due to the public demand for university education, thus allowing new universities to emerge. Public universities obviously cannot meet the demand for people seeking university education. Private providers now have the opportunity to meet the growing demand for university education, which has led to the rapid growth of private universities in Nigeria. (Adeyeye, 2009). Universities in Nigeria are rising rapidly, but ironically, the numbers of academic staff are not increasing proportionately (National Universities Commission (NUC,2015). This necessitates effective and efficient resourcing strategies. Employee resourcing strategies nevertheless describe what a university intends to do with its human resources planning, recruitment, selection, placement, retention in alignment with university overall strategic goals (Armstrong, 2010; 2014). Clearly, human resources are the backbone and lifeblood of any organization that can be engaged for exceptional job performance, culminating in a positive corporate image. Universities are supposed to step up their game by means of strategic modalities and corporate initiatives in the area of resourcing and retain of talented faculty and staff to achieve the overall strategic objective of the University (Gberevbie, 2006; Kanyemba, Iwu & Allen-Ile, 2015; Vander, Basson & Coetzee, 2009). Employee talents, expertise and intellectuality are the university's unique competence and abilities. The attraction, selection and retention of talented faculty members will end in a sustainable job performance (Minchington, 2010; Prinsloo, 2008). The main objective of any university, whether private or public, is to develop the whole person physically, morally and mentally, and thus to confer degrees on its products, that are deemed worthy of character and education (Idogho, 2011). They are also expected to offer quality leadership training and mentoring as well as providing good quality education via comprehensive courses and modules that will transform theories into practices (Adeyeye, 2009; Aina, 2010; Gberevbie, 2006). This can only be achieved by the availability of concentration of talents and competent faculty members. Nevertheless, employee resourcing strategies are essential for universities to achieve a positive performance (Kibui, Gachunga, & Namusonge, 2014). It is equally important to note that employee resourcing strategies are not limited to attraction of ‘eggheads’, but continuous process of attraction, acquisition, deployment and retention of talents among others (Venkateswaran, 2012). University management should, therefore develop capability to identify individuals with distinctive competencies as well as intensify efforts to retain them. This can be achieved via competitive rewarding system, career advancement, job security, and other motivating factors (Gberevbie, 2010). Employee resourcing strategies are an important and dynamic tool for university survival and worthwhile achievements (Ngui, Elegwa, Gichuhi & Waititu, 2014). To a large extent, the survival of any university depends on its ability to tactically attract and retain faculty members with distinctive skills who formulate and implement strategies to promote excellent academic performance and thus enhance the institutional image. (Armstrong, 2010; CIPD, 2015; Dhar, 2015). According to Ogunyomi and Ojikutu (2014), types of talent to succeed in a competitive academic environment. In addition, as Antonio and Luis (2015) noted, Universities are supposed to respond to drastic changes in their academic environment by recognising pertinent skills required for steady growth and sustainable development at present and in the future. This study becomes necessary because it concerns the integration of employee resourcing strategies http://www.iaeme.com/IJCIET/index.asp 1066 editor@iaeme.com Measuring the Dynamic Model of Employee Resourcing Strategies, Corporate Image and Job Performance in ICT Driven Universities into the overall strategic objective, which cannot be negotiated for the performance of universities and the sustainable corporate image of companies. 2. LITERATURE REVIEW 2.1. Employee Resourcing Strategies Employee resourcing is fundamental to the existence of any institution in the face of increasingly competitive academic environment (Katua et al, 2014; Ogunyomi & Ojikutu, 2014). Employee resourcing strategy takes into consideration organisation’s decision concerning where to find and acquire employees with distinctive capabilities that will possibly engaged to gain competitive advantage (Ngui, Elegwa & Gichunga, 2014). Employee resourcing strategies play a significant role in providing people and skills required to meet the needs that will support the business strategy of any organisation (Armstrong & Taylor, 2014). They involve a series of techniques and approaches used by employers of labour in re- sourcing organisations in a way that the strategic goals of the organisation will be actualised (Karikari, Boateng & Ocansey, 2015). Resourcing strategies require that organisations use several approaches in choosing the right talent that reflects the philosophy and core values of their organisations (Armstrong, 2014; Ngui et al., 2014). Employee resourcing strategies take into consideration the flexibility of working practices which requires multi-skilled workers and sophisticated assessment as well as strategic development programme. Similarly, employee resourcing refers to general activities regarding recruitment, retention and productive engagement of employees in an organisation. On the other hand, it ensures that the organisation attracts, obtains and retains competent employees needed and efficiently engage them toward the actualisation of the strategic goals of the organisation (Armstrong, et al., 2014). It is imperative to note here that employee resourcing strategies play a key role in the strategic human resource management process, which is very crucial for the integration of human resources to the overall strategic goals of the institutions. This will help in ensuring the optimal utilisation of employees (Karikari, Boateng, & Ocansey, 2015). Expectedly, the pivotal goal of employee resourcing strategies is to ensure that organisations gain competitive advantage by productively engaging employees with distinctive capabilities. What gives an organisation an edge over others is a wider and deeper range of skills of an organisation’s workforce. Employee resourcing strategies emphasise more on attracting people with good attitudes, behaviours and right disposition to work and are most likely to conform to management believes and policies. 2.2. Job Performance in University System The pivotal goal of any university is to develop and raise new generation of leaders who are adequately equipped mentally, morally and physically. Universities are also expected to orchestrate the advancement and suitable use of manpower, provide high quality leadership training, develop strong economies and society, as well as provide high quality education via rigorous training. Primarily, Universities are saddled with the responsibility of: teaching and project supervision of students; research and publication; community impact; innovation; product development among others. The performance of academic staff saddled with the responsibilities of the above listed institutional service was measured through: the number of research output per time, the student pass rate, the number of courses taken per semester, the number of supervisees, the number of committees serving, the involvement in community service among others. It is also important to note here that performance measures in the University system include the ability of an academic to impact knowledge through good teaching pedagogies and learning aids and ability http://www.iaeme.com/IJCIET/index.asp 1067 editor@iaeme.com Adeniji, A. A; Falola, H. O, Adeyeye, J. O, Osibanjo, A.O and Ogueyungbo O. to carry out independent research. Evidently, the level of performance of academic staff in Nigerian Universities is declining. These can be attributed to some factors like, industrial actions, dilapidated facilities, aging teaching and research aids, shortage of competent senior academic staff, inadequate funding among others (Ajayi, Awosusi, Arogundade & Ekundayo, 2011; Okebukola, 2010, Manafi and Subramaniam, 2015). 2.3. Corporate Image in Universities Competition in higher education institutions is growing exponentially in this modern society. As a result, competition for good home and international students, faculty of research and teaching and new funding sources have become essential for the continued survival and sustainability of institutions. (Bloemer & Ruyter, 2008, OECD, 2012). Universities and other higher education institutions should be independent institutions with the responsibility to create and disseminate autonomous knowledge (Jarvis, 2001). However, Universities and other higher education institutions have moved in the midst of competitiveness in the education sector towards a business-like, competitive operating model and services that can be aggressively marketed well beyond national boundaries (Bunzel, 2007). Universities with a strong distinctive image in this context will likely survive the growing competition in the education sector (Bloemer et al. In 2008). It is equality important to state that universities in this hyper competitive academic environment are usually competition with each other for the enrolment of good potential students, (Adeniji, Osibanjo, Abiodun & Oni-Ojo, 2014). One of the things that attract good students to any institution is the image of such institutions. The year of establishment of the universities in most cases is immaterial to prospectus good students (Smaiziene & Jucevicius, 2013). Although, some universities have well-established infrastructures and faculty members with distinct and unique skills, while others employ new strategies to start developing their infrastructure and deepen efforts to attract and retain the desired faculty members who are committed to quality teaching, outstanding research and innovation that will inevitably promote the image of the universities (Moogan, 2010). Building corporate image has become more relevant to the promotion of the reputation of an institution, the patronage of students (home and international students) and the generation of additional income for the institution. University’s brand image becomes very important for growth and sustainable development. Attracting good students and academic staff depends on the image and reputation of the institutions. One of the major yardstick used in determining the reputation of the universities is ranking by various academic rankings, such as the Times Higher Education (THE), Webometrics Ranking, National Ranking, and Professional Ranking among others. Besides, services offer by a University determines the impression, whether positive or negative that the public will have about the institution’s corporate image (Anderson,2004; Adeniji, Salau, Awe & Oludayo, 2018). A university's ability to create a positive impression in the psyches of potential candidates, parents, faculty and other potential clients will be an added advantage to such university. Research is vital for scientific discoveries, inventions, the advancement and proper diffusion of knowledge in various fields (Altbach & Balan, 2007). Universities are anticipated to be research centres and assets in which society's stakeholders can invest to secure a nation's future in an increasingly sensitive and volatile environment (Creswell, 2008; Hanan & John, 2013). Unfortunately, research, which is one of the primary reason for the establishment of universities has suffered a significant decline in Nigeria since the late 1980s. (Faborode, 2016). Before then, the National Universities Commission (NUC) noted that the research outputs in terms of quality and quantity in Nigerian tertiary institutions was the best in sub-Saharan Africa (Okebukola, 2010; Imhonopi & Urim, 2013). At the outset of the “holocaust” years, 1980 to http://www.iaeme.com/IJCIET/index.asp 1068 editor@iaeme.com Measuring the Dynamic Model of Employee Resourcing Strategies, Corporate Image and Job Performance in ICT Driven Universities 2000, the pertinent factors for outstanding research, such as experienced academics, training, motivation, availability of equipment, funding and facilities, had more or less faded away (Faborode, 2016). What took over was a “vicious national dilemma of a badly managed and plundered non-commodity economy and a self-afflicted and degraded education system that ultimately lost its once vivacity and global reputation” (Faborode, 2016:12). By the mid-90s, the quantity and quality of research had declined to an alarming low (Okebukola, 2008). This is not unexpected as Nigeria was spending an average of 5% of its budget instead of 26% recommended by the UNESCO on education. Okebukola (2008) and Imhonopi and Urim, (2013) listed other factors accountable for the decline in research output. This include lack of suitable research skills, unavailability of modern facilities for state- of- the- art research, overload teaching, administrative responsibilities, poor mentoring and motivation for research, constant industrial action and difficulty in accessing research grants. Indeed, for the quantity and quality of research outputs to make the desired impacts on national development, universities in Nigeria must achieve research focus, research motivation, integration of information technology in the delivery of teaching and excellent research and commercialisation of research results (Faborode, 2016). Scientists are attracted to universities with a good research image and suitable research laboratories and other modern research facilities that allow research at the highest possible level (Altbach et al. 2007; Creswell, 2008; Okiki, 2013; Kazeem & Ige, 2010). 3. METHODOLOGY In this study, a descriptive design was adopted for this study. What informed the choice of descriptive design was on the basis that the researcher adopted one time observation, including proximate and conclusive variables essentially needed to address the research problem of the study as suggested by Creswell (2003). However, descriptive design focuses on the phenomenon of interest, which according to this study is to provide precise answers to questions concerning the measurement of variables. Analysis was carried out using SPSS and AMOS 21. Structural equation modelling was used for the determination of the degree of fitness between the variables. Meanwhile, the sample for this study consisted of 500 respondents randomly selected from the best six (6) selected private Universities in Southwest, Nigeria. This includes faculty members and principal officers of the selected Universities. The rationale behind the choice of private universities was not farfetched from the fact that most people cannot afford to enrol in private universities because of the financial implication of private education at that level. Competition to attract good students that can afford private university education becomes more intense and all the private universities go to the same market for their prospective students for possible enrolment. The choice of Southwest as the study area was because of the fact that most of the private universities in Nigeria are situated within the geo-political zone. For instance, twenty-eight (28) private universities representing 46% of the sixty-one private universities in Nigeria established before 2016 are located in Southwest Nigeria, while the remaining 33 private universities represent 54% are spread across geo-political zones. 3.1. Model Testing and Discussions SEM (AMOS 22.0) was used to determine the degree of fitness of the variables. Comparative Fit Index( CFI); Standard Fit Index( NFI); Relative Fix Index( RFI); Incremental Fix Index( IFI); Root Mean Square Approximation Error( RMSEA). In view of the scores obtained from the analysis and in comparison, with the benchmarks as proposed by Awang, (2012); Tabachinck and Fidell, (2007), it may therefore be concluded that the level of fitness is good and acceptable. The summary of the regression weights and fitness index measurement is depicted in Tables 1 and 2 respectively. http://www.iaeme.com/IJCIET/index.asp 1069 editor@iaeme.com Adeniji, A. A; Falola, H. O, Adeyeye, J. O, Osibanjo, A.O and Ogueyungbo O. Table 1 Regression Weight for Modified Model Note: C.R. = Critical Ratio; S.E. = Standard Error; * significant at 0.05 Table 2 Fitness Index Measurement Source: Researcher’s Field Survey Result (2016) The structural model depicted in figure 1, the results show the regression between human resource planning strategies (HRP_stra), employee recruitment strategies (recruit_stra), employee selection strategies (selectn_stra), employee retention strategies (retentn_stra) on job performance (teaching supervision, research output, community service and service to the http://www.iaeme.com/IJCIET/index.asp 1070 editor@iaeme.com Measuring the Dynamic Model of Employee Resourcing Strategies, Corporate Image and Job Performance in ICT Driven Universities University) and University’s corporate image (brand image, research image, corporate reputation, corporate identity). The result shows that all variables tested under an independent structure have positive trajectory coefficients as factors in employee resourcing strategies that influence employee performance and corporate image. This is shown in figure 1. Figure 1: Employee Resourcing Strategies, Job Performance and Corporate Image Model The regression weight between recruitment strategies and teaching / supervision is.218( p<0.001), which indicates that when recruitment strategies increase by 1 standard deviation, the teaching and supervision of the project of students increases by 0.218 standard deviations. The implication of this is that if the institutions have concentration of faculty members with distinctive competences, the teaching quality and project supervision will be enhanced. This will likely promote the image of the institutions. This assumption was validated by Falola, Oludayo, Olokundun, Salau, and Ibidunni, (2018). In addition, the regression weight between recruitment strategies and research output is .051 (p<0.001) which indicates that when recruitment strategy goes up by 1 standard deviation, research output goes up by 0.051 standard deviations. This finding suggests that the ability of the institutions to attract and acquire talented faculty members who are cut out for quality research will promote the research image of the institutions. Since research productivity is one of the major criteria for the universities ranking, having faculty members that are research inclined will help in this regard. This submission was corroborated by Falola, Olokundun, Salau, Oludayo and Ibidunni, (2018) and supported by Kazeem and Ige (2010). Meanwhile, the regression weight in the prediction of teaching / supervision and research output for employee recruitment strategies is significantly different from zero at level 0.05. The implication is that employee recruitment strategies will help in improving employee job performance which will invariably motivate quality teaching and research image. This was corroborated by Gberevbie (2008). Also, the effect of employee retention strategies on service to the University, shows the path coefficient of .091 (p <0.05). Therefore, when employee retention strategies go up by 1 standard deviation, service to the University goes up by 0.091 standard deviations. The implication of this is that if the institutions of higher learning are able to retain their good hands in the hyper competitive academic environment where the faculty move from one institution to another, it will help the institutions http://www.iaeme.com/IJCIET/index.asp 1071 editor@iaeme.com Adeniji, A. A; Falola, H. O, Adeyeye, J. O, Osibanjo, A.O and Ogueyungbo O. to have the pool of competent faulty member. As suggested by Falola et al (2018), some of the strategies that can be used for the retention of faculty members include but not limited to competitive pay, employer brand image, institutional supports in the areas of grants, conferences, publications among other. It is also important to note that the effect of employee retention strategies on corporate identity shows the path coefficient of .095 (p <0.05). Therefore, when employee retention strategy goes up by 1 standard deviation, corporate identity goes up by 0.095 standard deviations. The effect of employee retention strategy on corporate image shows the path coefficient of .113 (p <0.05). Therefore, when employee retention strategy goes up by 1 standard deviation, corporate image goes up by 0.113 standard deviations. The regression weight for employee retention strategies in the prediction of corporate identity and corporate image differs considerably from zero at level 0.05. Consequently, employee recruitment strategies have a positive influence on the corporate identity and the corporate image of the university. The effect of human resource planning strategies on teaching/supervision shows the path coefficient of .507 (p <0.05). Thus, when human resource planning strategies go up by 1 standard deviation, teaching/supervision goes up by .507 standard deviations. It is also important to note that the direct effect of human resource planning strategies on corporate image shows the path coefficient of. -.249 (p <0.05). Hence, when human resource planning strategies go up by 1 standard deviation, corporate image goes down by -0.249 standard deviations. The regression weight for human resource planning strategies in the prediction of corporate image is negative. It is therefore suggesting that there is no direct relationship between human resource planning strategies and corporate image. The Table also revealed the effect of employee selection strategies on research output, service to the University and community service show the path coefficient of .169 (p <0.05), .133 (p <0.05) and .150 (p <0.05) respectively. Therefore, when employee selection strategies go up by 1 standard deviation, research output, service to the University and community service go up by 0.169, 0.133 and 0.150 standard deviations. The regression weight for employee selection strategies in the prediction of research output, service to the University and community service is significantly different from zero at the 0.05 level. This means that employee selection strategies have a positive influence on research output, service to the University and community service. The effect of employee service to the University on corporate reputation and corporate identity shows the path coefficient of. .058 (p <0.05) and .030 (p <0.05) respectively. The implication is that when employee service to the University goes up by 1 standard deviation, corporate reputation and corporate image go up by 0.058 and 0.030 standard deviations in that order. This was corroborated by Faborode (2016) Supported by Falola, Oludayo, Akinnusi, Osibanjo and Salau, (2018). The regression weight for service to the University in the prediction of corporate reputation and corporate image is significantly different from zero at the 0.05 level. The effect of research output on brand image and research image show the path coefficient of. .151 (p <0.05) and .263 (p <0.05) respectively. The outcome is that when research output goes up by 1 standard deviation, brand image and research image go up by 0.151 and 0.263 standard deviations in that order. The regression weight in the prediction of brand image and research image for research output differs significantly from zero at level 0.05.The resultant effects of community service on corporate reputation and research image show the path coefficient of. .243 (p <0.05) and .100 (p <0.05) respectively. The consequence is that when community service goes up by 1 standard deviation, corporate reputation and research image go up by 0.243 and 0.100 standard deviations in that order. The regression weight for community service in the prediction of corporate reputation and research image is significantly different from zero at the 0.05 level. The effects of teaching and supervision on brand image ad research image show the path coefficient of. .775 (p <0.05) and .088 (p <0.05) respectively. This suggests that when teaching / supervision increases by 1 standard deviation, the brand image and the research image increase http://www.iaeme.com/IJCIET/index.asp 1072 editor@iaeme.com Measuring the Dynamic Model of Employee Resourcing Strategies, Corporate Image and Job Performance in ICT Driven Universities by 0.775 and 0.088 standard deviations in that order. The regression weight for teaching/supervision in the prediction of brand image and research image is significantly different from zero at the 0.05 level. Not only that, the effects of research image on corporate image show the path coefficient of .014 (p <0.05) while the relationship between brand image and corporate image shows the path coefficient of 0.946 and corporate identity on corporate image shows 0.044. The implication is that when the research image increases by 1 standard deviation, the corporate image increases by 0.014 standard deviation; if the brand image increases by 1 standard deviation, the corporate image increases by 0.946 standard deviation and if the corporate identity increases by 1 standard deviation, the corporate image increases by 0.044 standard deviation. The significant effect of retention strategies on corporate image show the path coefficient of .113 (p <0.05) while that of corporate reputation on corporate image shows the path coefficient of .035 (p <0.05). Therefore, when retention strategies go up by 1 standard deviation and corporate reputation goes up by 1 standard deviation, then corporate image goes up by 0.113 and 0.035 respectively. The implication is that if the institutions have been able to build good brand image, it will make their institutions centre of attraction to potential employees. Therefore, if faculty are working in the institutions of their choice, most likely, they will be satisfied with their job and this will aid retention and the stress will also reduce. This was validated by Osibanjo, Salau, Falola, and Oyewunmi (2016). 4. CONCLUSIONS The study has been able to demonstrate how fundamental a well guided resourcing strategies could enhance survival and sustainability of corporate image in the face of keen competition for the share of students’ enrolment and attraction of experienced Faculty members into private universities, particularly within Southwest Nigeria. Specifically, the conclusions of this study are based on the findings from test of hypotheses. This provides answers to the formulated research questions. This study concludes that manpower planning strategies (gap analysis, job analysis, manpower inventory among others) have positive significant effect on Universities’ brand image (product and service). The implication of this is that, if manpower planning is given necessary attention, Universities would effortlessly achieve minimum required staff mix and staff-students ratio as recommended by NUC. The study also concludes that, employee recruitment and selection strategies have positive significant effect on Universities’ research image and corporate reputation. However, it is evidence from the results that recruitment and selection strategies can help in promoting Universities’ research image and corporate reputation via scholarly research outputs published in good indexed academic journal outlets. Besides, study also concludes that employee retention strategies could be used as a platform to drive Universities’ corporate identity. However, if this is given necessary attention, it would compel faculty members with distinctive capabilities to stay, and at the same time, attract others to join the University. 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