The bottom of the pyramid (BoP) market in Africa is a significant opportunity for multinational banks. To address this banks’ need to increase their understanding of their BoP context, develop new approaches to overcome BoP obstacles, and use technology to create new commercially viable business models. The purpose of this study was to investigate how banks use co-creation with stakeholders to operate in BoP markets in Africa. The research explored how banks provide services to companies and individuals that currently do not use banks services, and acquire understanding by working with companies, individuals and other market actors to generate services that creates an infrastructure for BoP markets to ‘work’. This study addresses the gap in the research on how banks co-create in BoP markets, providing understanding of how banks’ create approaches to customers and operating models to achieve sustainable growth in BoP markets. Empirically, the study examined specific bank projects to better understand how co-creation supports banks to delivers sustainable and scalable business models. The main findings from the empirical research demonstrated positive results, strong leadership and commercial management are critical to banks operating in BoP markets in Africa; concurring with arguments put forward by Casado Cañeque and Hart (2015) and extending London and Hart’s (2010) analysis into a banking context. Research confirmed post-financial-crisis corporate governance of banks and their boards’ ability to ensure they can demonstrate their banks are well managed, and management having a detailed understanding of the operations, has created trade-offs and restrictions on how banks operate in BoP markets. No common strategies emerged to create a new business model for banking in BoP markets in Africa. No immediate significant new direction emerged for banks to overcome their business models’ legacy of inflexibility to address the needs of BoP customers. Results revealed bank proposition development approach remains generally focused on developed, rather than developing, customer contexts and regulations. The majority of BoP customers in Africa remain excluded due to cost, distance, and a lack of suitable products, as variables such as access, cost and regulation made it challenging for banks to provide compelling bank-wide propositions. BoP customers in Africa are becoming easier to access, as banks, card networks, and mobile network operators use digital technology, like mobile phones, to access BoP customer markets at lower costs than traditional business models, allowing new approaches to proposition development, such as test and learn in the field. The findings demonstrated value in co-creation via partnerships, supporting Simanis (2012), who maintained that firms are likely to be successful in BoP markets if they use existing infrastructure and local partnerships to enter BoP markets, and that pioneering work on microfinance initiatives embracing new approaches to digital technology across banking markets has led banks to reconcile the need for new approaches to BoP markets.

Master of Science / Department of Agricultural Economics / Christine Wilson / Allen Featherstone / The objectives of this thesis are to examine the banking strategy of Kansas farmers and to analyze the determinants of lender choice among Kansas farmers. To meet these objectives, econometric analysis was used to examine the financial characteristics of the farm that affect the number of banking relationships and the probability a farmer has a loan with a respective lender. The financial characteristics include variables representing the solvency, liquidity, and profitability of the farm. To analyze banking strategy, a poisson model was estimated to determine how the financial characteristics of the farm affect the number of banking relationships used by the farmer. The solvency, liquidity, and profitability of a farmer was analyzed to examine how these measures affect how many banking relationships the respective farmer has. Additionally, a panel data fixed effects model was used to analyze how the number of banking relationships affects the net farm income of the farm. To analyze the determinants of lender choice for Kansas farmers, six probit models were used to determine how farm and financial characteristics, including dollar amount of inventory for certain assets and dollar amount of loans, affect the probabililty the farmer has a loan with the respective lender. A Heckman selection model was used to further analyze the dollar amount of loans a farmer has with a respective lender using information from the probit models. Results of the study show that the higher the debt to asset ratio the farmer has, the more banking relationships the respective farmer has. It was also found that the amount of inventory for certain asset classifications, dollar amount loans, and the financial characteristics affect the lender the farmer chooses to use.