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The current diversity in organizations requires innovative employees to cope up with the dynamism. A burgeoning body of literature has established the antecedent role of self-efficacy in employee innovativeness. However, there is a dearth of knowledge regarding the influence of self-efficacy on the different types of innovative work behaviour. The purpose of this study was to establish the influence of self-efficacy on the different types of innovative work behaviour.

The study adopted an explanatory design to examine the hypothesized relationship between the study variables. Regression analysis was used to investigate the relationship between self-efficacy and different types of innovative work behaviour using a sample drawn from public universities in Uganda.

The study findings reveal that self-efficacy significantly influences the four types of innovative work behaviour. However, the magnitude of the influence is not uniform across the four types of innovative work behaviour. Idea implementation was highly influenced by self-efficacy, followed by generation of ideas. Championing and exploration are the least determinants of self-efficacy.

This research has both empirical and theoretical value. Empirically, to the best of the authors’ knowledge, this is the first study to show a direct relationship between self-efficacy and individual facets of innovative work behaviour in a public university setting in a developing nation like Uganda. Theoretically, the study expands on the applicability of the social cognitive theory by revealing that the influence of an individual's personality characteristics (such as self-efficacy) varies with the type of innovative work behaviour because the tasks involved in the various types of innovative work behaviour differ and are thus affected by self-efficacy differently. The study limitations and areas for further research are discussed.

This study aims to explore and ranks the factors that might determine attitudes and intentions toward using autonomous vehicles (AVs).

The “technology acceptance model” (TAM) was extended by assessing the moderating influences of personal-related factors. Data were collected from 378 Vietnamese and analysed using a combination of “partial least squares” and the “adaptive neuro-fuzzy inference system” (ANFIS) technique.

The findings demonstrated the power of TAM in explaining the attitude and intention to use AVs. ANFIS enables ranking the importance of determinants and predicting the outcomes. Perceived ease of use and attitude were the most crucial drivers of attitude and intention to use AVs, respectively. Personal innovativeness negatively moderates the influence of perceived ease of use on attitude. Data privacy concerns moderate positively the impact of perceived usefulness on attitude. The moderating effect of price sensitivity was not supported.

These findings provide insights for policymakers and automobile companies' managers, designers and marketers on driving factors in making decisions to adopt AVs.

The study extends the AVs literature by illustrating the importance of personal-related factors, ranking the determinants of attitude and intention, illustrating the inter-relationships among AVs adoption factors and predicting individuals' attitudes and behaviours towards using AVs.