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The purpose of this study is to investigate the continuance intention of using e-government services in Tanzania as well as moderating effects of system interactivity.

A research model based on expectancy confirmation model was developed and empirically tested using 213 data collected from e-government services users who were selected using the judgemental sampling technique. The variance-based structural equation modelling technique was used for data analysis using SmartPLS 3.0.

The results of this study suggest that system interactivity, computer self-efficacy, management support, confirmation, satisfaction and perceived usefulness have a positive and significant influence on continuance intention to use e-government services. Moreover, the findings of this study indicate that system interactivity moderates the influence of perceived usefulness and satisfaction on continuance intention.

This study extends the expectancy confirmation model with system interactivity, management support and computer self-efficacy which are considered as important factors in continuance usage of technology. Furthermore, this study examines the moderating effect of system interactivity on the effects of perceived usefulness and satisfaction on continuance intention.

The main purpose of this paper is to examine the adoption of big data analytics (BDA) in the Tanzania banking industry by investigating the influence of technological, environmental and organizational (TOE) factors while exploring the moderating role of perceived risk (PR).

The study employed a qualitative research design, and the research instrument was developed using per-defined measurement items adopted from prior studies; the items were slightly adjusted to fit the current context. The questionnaires were distributed to top and middle managers in selected banks in Tanzania using the snowball sampling technique. Out of 360 received responses, 302 were considered complete and valid for data analysis. The study employed partial least squares structural equation modeling (PLS-SEM) to examine the developed conceptual framework.

Top management support and financial resources emerged as influential organizational factors, as did competition intensity for the environmental factors. Notably, bank size and perceived trends showed no significant impacts on BDA adoption. The study's novelty lies in revealing PR as a moderating factor, weakening the link between technological readiness, perceived usefulness and the intent to adopt BDA.

This study extends literature by extending the TOE model, through examining the moderating roles of PR on technological factors. Furthermore, the study provides useful managerial support for the adoption of BDA in banking in emerging economies.

The purpose of this paper is examining how financial inclusion can be enhanced in rural and remote areas in emerging economies through the adoption of Financial technologies. The study examines the direct influence of technological characteristics, facilitating conditions, trust and perceived risk on adoption of FinTech. Furthermore, the study examines the mediating effects of facilitating conditions and moderating effects of education level in adoption of FinTech.

The study employed quantitative research design. Stratified and simple random sampling were employed to identify areas in which respondents will be collected. Drop and Pick method was further employed to collect 275 valid and reliable responses. Structural equation modeling was used to analyze the data and assess the reliability and validity of the measurement model. Structural model analysis was employed to examine the hypothesized relationship.

The results show that compatibility, complexity agent trust, perceived risk and facilitating have significant influence on adoption of FinTech. Furthermore, the findings show that facilitating conditions mediate the relationship between all technological characteristics and FinTech adoption except the relationship between compatibility and FinTech. The study also has found that education level moderates the relationship between observability and FinTech adoption as well as trialability and FinTech adoption.

This study employed cross-sectional research-based techniques in collecting data for analyzing the hypothesized relationship. However, the drawback of cross-sectional may impact the findings of this study over a long time. Therefore, future studies must consider conducting longitudinal studies which may collect data over some time for analysis of the FinTech adoption. Furthermore, the generalization of these findings should be considered carefully by other countries which are not economically similar to Tanzania and developed countries. This also provides room for future studies to examine the same area in countries with different economic development.

This study contributes to knowledge into two folds: First there is limited knowledge on adoption of FinTech in emerging economies; the study addresses the knowledge gap by providing empirical findings which will help scholar. Furthermore, less studies have examined the moderating effects of facilitating condition in adoption of technology. This study addresses the knowledge gap by examining the moderating influence of moderating influence of facilitating conditions. Also, this study provides empirical findings which will help policymakers to implement strategy that will speed-up financial inclusion in rural and isolated areas in emerging economies.

Generally, this paper aims to develop a model by identifying factors which will assist policy makers in implementing m-government in Tanzania. The paper identifies direct and indirect factors which may influence adoption of m-government among the rural farmers in Tanzania.

The paper conducted a survey by using Drop Off/Pick Up method to collect data from rural farmers. Stratified and multi-stage sampling were used to collect 407 valid responses from rural farmers in Tanzania. Data collected were analyzed by using structural equation modeling (SEM).

The results show that government support has direct influence, while awareness has indirect influence through relative advantage, ease of use, compatibility and visibility. Furthermore, relative advantage, compatibility, ease of use, visibility and results demonstrability have direct influence on rural farmers intention to adopt m-government.

This study contributes to knowledge because no study in this area has been conducted in developing countries to examine factors that influence adoption of m-government. Furthermore, this study tests the mediating effects of perceived characteristics of innovation which have not yet been investigated to date.