This paper aims to review the impact of climate change on Nigeria's agribusiness value chain. In this study, the researcher reviewed recent and popular academic journals in the area of climate change and agricultural value chains. This review process aims to strengthen the existing literature in this field of study. After carefully reviewing the literature, the paper revealed that the change in the global climate has a significant impact on the agribusiness value chain. The Nigerian agricultural value chain consists of the pre-upstream, up-stream, mid-stream, and down-stream. All the streams are directly or indirectly affected by climate change. The climate change impact varies across the value chain; it affects each stream with a different magnitude. The review also revealed that climate change has a significant effect on the food production value chain with a higher impact on pre-upstream and upstream when compared to mid and downstream. Suggestions presented in this paper include focusing on greenhouse gas reduction, practicing precision farming, using a reusable source of energy, taking advantage of IoT, and climate-smart agricultural technologies. This review will help the value chain stakeholders to understand how to achieve sustainability on the value chain and understand how to mitigate or adapt to climate change impacts.

The purpose of this study is to look into the purchasing intentions of Shopee live-stream shoppers in Malaysia when it comes to agricultural produce. Despite the fact that purchase intention is well-known and well-studied using theory of reasoned action, there are still gaps in the literature. Furthermore, live streaming is a relatively new phenomenon that, despite its growing popularity, has received insufficient research. As a result, there are calls to better understand how it influences purchase intentions. This study tested five hypotheses to explain the relationship between live-stream sellers' attributes and viewers' purchase intention based on the theory of reasoned action, utilitarian gratification theory, and source credibility theory. The methodology used in this study is a quantitative-based correlation research design. Adapting previous literature, 390 samples were collected. The questionnaires were distributed to respondents via email using a convenient sampling method.

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Irrespective of the size of a corporation, consumer preference for a certain product is a crucial subject for many companies, if not all, globally as it is essential to the success of the enterprise. Various consumers have different opinions of a product, and consumer preference serves as a guide for identifying a product's features. The success of a product is influenced by consumer preferences. It will be detailed displaying common elements such as service quality, technology, internet marketing, company image, and convenience that impact consumer selection. The feature of consumer choice for a given product has not been fully addressed by the current study, in fact, there are studies that focused on consumer choice, and their influences vary. Therefore, the timeliness of this study is apparent. This research is essential for companies who wish to identify popular banking applications (apps). As service quality, technology, online advertising, corporate image, and convenience impact consumer preference for mobile banking apps in Malaysia, hypotheses have been developed for the research study. This research enables academics to comprehend the phenomena under investigation and will also be useful for studying mobile banking apps in Malaysia in particular. This study aims to shed light on this nexus through quantitative correlation analysis, utilizing survey on consumer preferences for specific items and affecting variables. This study employs a quantitative correlation research methodology and seeks to establish the existence of correlations between each independent variable and the dependent variable. Total of 416 samples were collected using convenience sampling targeting bank users aged above 21 years old. The data was subsequently cleaned and analyzed using SPSS. During the study, research outputs based on hypotheses and proposals emerged with service quality, technology and internet advertising positively affecting consumer preferences with service quality being the most significant predictor.