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The study adopted a descriptive survey design having a quantitative approach. The target population for this study was 9,320 real estate entrepreneurs comprised of 884, 95, 320 and 8,021 sourced from Softkenya directory, Kenya Developers Association, Estate Agent Registration Board and National Construction Authority respectively and having their registered offices in Nairobi, Nakuru, Kisumu and Eldoret. A sample size of 384 real estate entrepreneurs was selected and using a stratified random sampling procedure, them that participated in the study were identified and later served with online questionnaires using their emails. The primary data that was collected then analyzed descriptively and inferentially. Environmental risk management was found to a have a statistically significance effect on performance of commercial real estate entrepreneurial investments in Kenya. It further reveals that incomplete environmental analysis and unpredictable weather patterns were the two most frequent and severe sources of environmental risk. Political/legal risk management was however found not to have a statistically significant effect on the performance of the entrepreneurial investments. The study recommends the need by the concern authorities to enforce full compliance of environmental requirements before any entrepreneurial investment commences and throughout its life cycle and aided by real estate entrepreneurs and other stakeholders should further scrutinise all approvals that an entrepreneur requires with a view to determine the viability in the long run of the number of approvals as well as the number of

Purpose- This study aims to provide an analytical framework that focuses on environmental knowledge as a mechanism through which social influence enhances pro-environmental behavior among university students. Design/Methodology- The research employed quantitative strategy, cross-sectional survey design, and systematic random sampling techniques to obtain data from a sample of 335 university students using a structured self-administered questionnaire. The study hypotheses were tested using Hayes Process Macro vs. 3.5 (Model 4). Findings- Results indicate that social influence strongly impacts students’ environmental knowledge, and both variables significantly predict pro-environmental behavior. Environmental knowledge was discovered to be the strongest predictor of pro-environmental behavior among students. Finally, results show that environmental knowledge mediates the relationship between social influence and pro-environmental behavior, revealing a complimentary mediation model superior to the direct effect model. Originality- These findings reveal that social influence and students’ environmental knowledge have a strong influence in cultivating students’ pro-environmental behavior. Furthermore, the complementary mediation model, which shows superior results than the direct effect model, contributes to the body of knowledge and offers new insights into theory and practice. Practical Implications- Environmental sustainability may be positioned as a social trend by government and business agencies, such as a promotional campaign, workshops, and training to demonstrate and raise awareness about environmental issues.

Influence of Management Support on Sustainable Performance of Kenyan Public Universities 1. Introduction Sustainable output is one of the terms with a very broad meaning, because everyone has the right interpretation and lets the context look after the term. Over a certain period of time, sustainable output may usually be considered by activities (Illmer, 2011). In the field of transparency and strategic planning, reliable performance metrics are important. Quality assessment is the quantification and quality evaluation method as a tool used to assess efficiency and effectiveness of action (Wong, 2013). The concept of sustainable development is significant, but it poses some challenges. Between them, at the beginning of a business initiative like ISO 9001 certification, it is relatively easy to encourage and enjoy, but Curry and Kadasah (2) have observed that maintaining dedication and motivation is more than often a problem in terms of time. Bateman (2005) defined sustainability as not a binary term, but rather a number of states that has only two states, which are both sustainable and non-sustainable. Bateman and David's (2002) sustainability model represents the multiplicity of the countries that categorize sustainability. Despite high standards of sustainability in some industries, other businesses have difficulties with maintaining their long-term process improvement strategies, leading to lower standards of sustainability (Bateman, 2005). The discrepancies experienced by companies in supporting a common ISO 9001 system do not appear to be definitively solved. It remains largely unanswered in the words of Taylor and Wright (2003).' The calculation of ISO standard quality for public universities results cannot be separated from growth rates. The accredited organizations of ISO 9001 are growing faster and the organizational output is not accountable to production, according to Terlaak & Kings (2006). This study was conducted in private sector manufacturing facilities in North America and explored whether certification according to ISO 9001 standards could have a competitive advantage and effect on institutional development. Management engagement is very necessary if quality management strategies are successfully implemented in an organization. Pheny & Teo (2003) also observed that ISO 9001 must be communicated to the organization as a whole in

Networking and Risk _Taking on Growth of of Export Firms have such an important role in global success and become more useful overtime. Networking and Risk _Taking on Growth of  Export Firms have not been addressed in full, their challenges such as lack of  Literature on Risk -Taking on  Export Firms is very scanty and hence not exhaustive .This Research attempts to utilise Sample size of 169 ,adopted from thesis on in Selected Kenya Export Firms .The Research employed Analysis of Moment Structures to compare Networking and Risk _Taking to Analyse Growth of  Export Firms Selected Kenya Export Firms, GFI was utilized to determine model goodness of fit, Multiple Group Model Comparisons. Finding indicate that the two Models of Networking and Risk _Taking differ, it was clear that equal Standardized Regression weight model results were substantially worse on overall model fit, specifically on Risk -Taking. A comparative analysis identified issues on Networking which proved to be useful as a construct of Growth of Export Firms for its application on Export Firms however some limitations in terms of: Error difference, Low model goodness of fit were faced by the Risk-Taking. The study concludes that the dimensions of Networking were positively related to export firm growth. The study recommends: development of entrepreneurship policy, the public sector needs to focus attention on developing networking opportunities among employees. Export firms should undertake research on Risk-Taking and segments that can support firm growth.