Within the context of technological development, the needs and preferences of the 21st century student (Generation Y), the changing higher education environment, the increasing use of technology in teaching and learning, and the significant role of online learning facilitators in e-learning, the e-readiness of academic employees became imperative. Thus, considering the importance of academic employees' e-readiness, the primary objective of the study aims to determine the role of key human factors in their e-readiness, with specific focus on personal work profile patterns, preferred learning style and pace and style of technology adoption. The research problem therefore is how to determine the role of these key human factors in the e-readiness of academic employees. In this respect the study argues that the e-readiness assessment of academic employees must be included in the human resource performance appraisal process. The purpose of this research is to develop a framework for assessing the ereadiness of academic employees during their performance appraisals, as well as determining and assessing the role of key human factors in their e-readiness in order to draft an e-profile which will provide guidance in terms of structuring unique training and development approaches for each e-profile. Once accademic employees' e-readiness has been assessed during their performance appraisals, they can be plotted on the framework. The outcome of their e-readiness assessments will reveal their e-profiles, which will portray insight into the presence or absence of particular ereadiness indicators, outlined in an e-readiness construct. Subsequently, a personal development plan can be drafted, making provision for uniquely structured training and development interventions, best suited for each accademic employees' e-profile. The most suitable motivating factors for each employee will also be considered during the drafting of the personal development plan. The empirical research by means of a self-administered questionnaire and a focus group discussion revealed two prominent e-profiles indicating various levels of ereadiness, namely an early adopter-pragmatist-compliance e-profile and an early majority-theorist-steadiness e-profile. The findings made it evident that the traits portrayed by a person belonging to a certain technology adoption category show similarities to traits portrayed by particular learning styles and personal work profile patterns. Certain profiles could be identified, based on trends and similarities pertaining to interpersonal traits. The findings further revealed that with an increase in age and teaching experience of respondents (which also imply an increase in age), the willingness to be assessed on e-readiness declined. It was also determined that the human resource performance management policies and practices at the North-West University (NWU) (which is used as case study), do not make provision for the inclusion of e-readiness in performance appraisals of academic employees. Further it became evident that training and development interventions should not only focus on the technical skill of e-learning, but follow a broader teaching and learning approach, also including the philosophy of e-learning and the use and adaptation of teaching and learning strategies to obtain optimal learner learning. The findings of the study thus supported the need for a framework, providing guidance in this regard. Presently, neither the literature of human resource performance appraisal nor the literature of e-readiness or e-learning makes provision for assessing the e-readiness of academic employees. The study thus contributes to the scholarly discourse and knowledge in the field of public human resource management, as sub-field of Public Administration, by developing a theoretical framework (that currently does not exist), consisting of three matrixes for this purpose to determine the role of the key human factors in the e-readiness of academic employees. / Public Administration / D. Litt. et Phil. (Public Administration)

Within the context of technological development, the needs and preferences of the 21st century student (Generation Y), the changing higher education environment, the increasing use of technology in teaching and learning, and the significant role of online learning facilitators in e-learning, the e-readiness of academic employees became imperative. Thus, considering the importance of academic employees' e-readiness, the primary objective of the study aims to determine the role of key human factors in their e-readiness, with specific focus on personal work profile patterns, preferred learning style and pace and style of technology adoption. The research problem therefore is how to determine the role of these key human factors in the e-readiness of academic employees. In this respect the study argues that the e-readiness assessment of academic employees must be included in the human resource performance appraisal process. The purpose of this research is to develop a framework for assessing the ereadiness of academic employees during their performance appraisals, as well as determining and assessing the role of key human factors in their e-readiness in order to draft an e-profile which will provide guidance in terms of structuring unique training and development approaches for each e-profile. Once accademic employees' e-readiness has been assessed during their performance appraisals, they can be plotted on the framework. The outcome of their e-readiness assessments will reveal their e-profiles, which will portray insight into the presence or absence of particular ereadiness indicators, outlined in an e-readiness construct. Subsequently, a personal development plan can be drafted, making provision for uniquely structured training and development interventions, best suited for each accademic employees' e-profile. The most suitable motivating factors for each employee will also be considered during the drafting of the personal development plan. The empirical research by means of a self-administered questionnaire and a focus group discussion revealed two prominent e-profiles indicating various levels of ereadiness, namely an early adopter-pragmatist-compliance e-profile and an early majority-theorist-steadiness e-profile. The findings made it evident that the traits portrayed by a person belonging to a certain technology adoption category show similarities to traits portrayed by particular learning styles and personal work profile patterns. Certain profiles could be identified, based on trends and similarities pertaining to interpersonal traits. The findings further revealed that with an increase in age and teaching experience of respondents (which also imply an increase in age), the willingness to be assessed on e-readiness declined. It was also determined that the human resource performance management policies and practices at the North-West University (NWU) (which is used as case study), do not make provision for the inclusion of e-readiness in performance appraisals of academic employees. Further it became evident that training and development interventions should not only focus on the technical skill of e-learning, but follow a broader teaching and learning approach, also including the philosophy of e-learning and the use and adaptation of teaching and learning strategies to obtain optimal learner learning. The findings of the study thus supported the need for a framework, providing guidance in this regard. Presently, neither the literature of human resource performance appraisal nor the literature of e-readiness or e-learning makes provision for assessing the e-readiness of academic employees. The study thus contributes to the scholarly discourse and knowledge in the field of public human resource management, as sub-field of Public Administration, by developing a theoretical framework (that currently does not exist), consisting of three matrixes for this purpose to determine the role of the key human factors in the e-readiness of academic employees. / Public Administration and Management / D. Litt. et Phil. (Public Administration)