This study aims to identify the effectiveness of knowledge sharing on diversity management. The researchers selected five variables that can impact knowledge sharing. These variables are: trust; management support; mutual reciprocity; self-efficacy; and altruism. The questionnaire has been used as a tool to collect data for the study�s variables, It was distributed on a convenience sample consisting of 159 employees in Jordanian mining companies. The researchers used the Statistical Package for the Social Sciences SPSS to analyze and test the study hypothesis.This study found out that mutual reciprocity, self-efficacy, and altruism impact knowledge sharing positively, but trust and management support have no impact on knowledge sharing.

Online purchase intention has been on the decline in the online retail industry. Extant literature has implicated low relationship marketing practices as part of the challenge. This study investigated the effect of relationship marketing practices on customer purchase intention of online retail firms in Lagos State, Nigeria. The study employed a Cross-sectional survey research using a validated questionnaire. Data were gathered from 1,970 respondents. The response rate was 85.6%. Data were analysed using the descriptive and inferential statistics. The study found that RMP (website quality, trust, reliability, communication and personalization had positive significant effect on purchase intention of online retail firms. The study also found communication to be the predominant RM variable affecting online purchase intention. This study recommends that management of online retail firms should address and key into the benefit of RMP to attract customers and increase online purchase intention.

Marketing plays a major role in agricultural production and this is because agriculture has the potential to provide the majority of smallholder farmers with employment and income. However, for smallholder farmers to enjoy the benefits provided by agriculture they require a reliable market for their harvests. The paper therefore examined cowpea value chain mapping and marketing efficiency among cowpea farmers in Ga-Molepo of Capricorn district and Bela-Bela of Waterberg district. Primary data was collected from 80 smallholder cowpea farmers using structured questionnaire. Value chain map, and binary logistic regression model and descriptive statistics were used to analyse the data. The study findings showed that 66% of the smallholder cowpea farmers were market efficient, and 34% were market inefficient. It was also revealed that there were more women involved in cowpea production than their male counterparts. Results from binary logistic regression model employed indicated that age, household size, years in schooling, years in farming cowpea, income generated from selling cowpea, quantity of cowpea sold and occupation of the farmers had positive significant influence on marketing efficiency of cowpea farmers in the study areas. This paper therefore recommends increased investment in education and training opportunities for smallholder farmers for better profit making and stakeholders in agriculture value chain in the study area should come together for proper coordination of activities to further enhance efficiency.

Huge post-harvest losses are experienced in cassava production in Nigeria due to factors such as poor infrastructure, low levels of technology and low investment in food production systems, pest infestation, climate, growing conditions, handling and retail level factors as well as mechanical damage to cassava roots, among others. This paper sought to analyze the extent of post-harvest losses experienced by farmers, the management strategies employed by them as well as the effect of these losses on the profitability of cassava processors in Iseyin Local Government Area of Nigeria. Using a systematic sampling method, a total of 160 respondents were selected for the study. The questionnaire elicited information on socio-economic characteristics of farmers, extent and causes of losses, structures used for storage, among others. Data analysis was done using descriptive statistics, frequency tables and Ordinary Least Squares Regression. The results obtained revealed that post-harvest losses occurred mainly as a result of inadequate access to storage facilities and inadequate access to credit facilities. It was recommended that cassava processing and storage facilities could be made available to cassava processors through public-private collaborations in the agricultural sector while credit facilities should be provided by expanding current financing programmes in the agricultural sector.