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The purpose of this paper is to determine current and potential takaful customers’ perception of takaful product and its adoption in Somalia.

This study used three originally selected constructs of perceived relative advantage, perceived compatibility and perceived complexity of diffusion of innovation (DOI) theory and adds three additional constructs of level of customer awareness, culture and perceived trust. A total of 427 questionnaires were collected from the participants of the study using a nonprobability convenience sampling technique. For data analysis, Smart PLS3 and SPSS software were used. The survey was conducted in Somalia, with respondents being current and potential takaful product’s customers. The DOI theoretical model was put to the test using structural equation modeling.

The findings showed that perceived relative advantage, perceived compatibility, awareness, perceived culture and perceived trust have a positive and significant influence, whereas perceived complexity has an insignificant influence on the adoption of takaful products.

This research is a pioneering attempt to investigate the determinants of current and potential takaful customers’ adoption by changing the DOI theory, and it presents a unique contribution to the field with regard to Somalia.

This study aims to empirically investigate the factors that influence consumers' attitudes and intentions to use mobile wallets in the context of Somalia. Additionally, the study examines the role of attitude as a mediator between independent variables and the dependent variable.

A multidisciplinary model is proposed, building on the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT) and other relevant research on factors influencing technology adoption. Data were collected using a questionnaire, and convenience sampling was employed to select the respondents. A total of 321 respondents participated in the survey. Fifteen hypotheses were formulated, and PLS-SEM and SPSS software were used to estimate and test the hypothesized model.

The results show that factors including attitude, lifestyle condition (LC), perceived ease of use (PEOU) and perceived usefulness (PU) have a direct effect on the intention to use mobile wallets. However, facilitating conditions (FC), quality of internet connection (QIC), security (SEC) and trust do not have a direct effect on mobile wallet adoption. On the other hand, attitude mediates the relationship between facilitating conditions, lifestyle compatibility, perceived ease of use, perceived usefulness, quality of internet connection, security and mobile wallet adoption. Consumer attitude does not mediate the relationship between trust and mobile wallet adoption.

This empirical study was conducted only in Mogadishu, thus limiting its geographic scope. Future research on mobile wallets should consider more cities in Somalia. The data were collected at a specific point in time. Given the rapidly changing rate of mobile wallet usage, a longitudinal study might be warranted. Additionally, other variables such as relative advantage, perceived benefits, risk and additional factors could be considered.

As lifestyle conditions, perceived ease of use and perceived usefulness emerged as important constructs for mobile wallet acceptance, there is a need to develop the best ease of use, the most suitable conditions and the highest perceived usefulness. The findings have managerial implications that can help banks providing mobile wallet services to increase the usage and adoption of their services.

Mobile wallets have introduced new digital payment options for consumers while also providing businesses and marketers with enhanced opportunities to promote their products and services online. However, there is limited research on the adoption of mobile wallets in Somalia. This study may be the first in Somalia to investigate mobile wallet adoption with a larger sample size compared to previous studies. It also proposes and validates additional constructs not included in the original model.