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The underlying assumptions of Baumol’s theory of entrepreneurial allocation limits its potential to answer some key questions related to the entrepreneurship allocation. Hence, this paper aims to highlight the inherent limits of Baumol’s theory and suggest a new approach for understanding the entrepreneur-institution relationship and their functions.

This is a conceptual paper with a narrow focus on the literature.

The paper argues that Baumol’s adherence to neoclassic economics assumptions about entrepreneur and institution, such as entrepreneurs as rational choice taker with predetermined goals or institutions as exogenous, limits the potential of his theoretical framework to explain productive entrepreneurship in weak institutional settings. As such, underlying on Austrian economics assumptions about entrepreneur and his/her agency, this paper proposes a reconceptualization of productive entrepreneurship as an outcome of the interaction between entrepreneur and context.

Going beyond Baumol’s main proposition of one-sided influence of institutions on entrepreneurship allocation, this research highlights the influence of individual factors and entrepreneurial action on choosing entrepreneurial paths by entrepreneurs. So, future policies to stimulate productive entrepreneurship should consider these factors and go beyond Baumol’s mere focus on institutional improvement.

Going beyond one-sided influence of institutions on entrepreneurship allocation, this paper suggests an interaction centric approach which considers the role of actors and institutions as the co-creator of each other in the social process and argues that any effort for explaining the entrepreneurship should consider the co-creative nature of the actors and institutions as well as the endogenous nature of institutions. The proposed approach will help expanding entrepreneurship literature through finding answers to some key under-examined questions in the promising research stream of entrepreneurship allocation.

This paper aims to determine the affecting factors of the brand authenticity of startups in social media.

Using a qualitative method based on a grounded theory approach, this research specifies and classifies the affecting factors of brand authenticity of startups in social media through in-depth semi-structured interviews.

Multiple factors affecting the brand authenticity of startups in social media are determined and categorized as indexical, iconic and existential cues through this research. Connection to heritage and having credible support are determined as indexical cues. Founder intellectuality, brand intellectuality, commitment toward customers and proactive clear and interesting communications are identified as iconic cues. Having self-confidence and self-satisfaction, having intimacy with the brand and a joyful feeling for interactions with the community around the brand are determined as existential cues in this research. This research furthers previous arguments on a multiplicity of brand authenticity by shedding light on the relationship between the different aspects of authenticity and the form that different affecting factors can be organized together. Consumers eventually evaluate a strengthened perception of brand authenticity through existential cues that reflect the cues of other aspects (iconic and indexical) which passed through the goal-based assessment and self-authentication filter.

The research sampling population can be more diversified in terms of sociodemographic attributes. Due to the qualitative methodology of this research, assessment of the findings through quantitative methods can be considered in future research.

Using the findings of this research, startup managers can properly build a perception of authenticity in their consumers’ minds by using alternate factors while lacking major indexical cues such as heritage. This research helps startup businesses to design their brand communications better to convey their authenticity to their audiences.

This research determines the factors affecting the authenticity of startup brands in social media. It also defines the process of authenticity perception through different aspects of brand authenticity.

This paper aims to present a cooperative adaptive cruise control, called stable smart driving model (SSDM), for connected and autonomous vehicles (CAVs) in mixed traffic streams with human-driven vehicles.

Considering the linear stability, SSDM is able to provide smooth deceleration and acceleration in the vehicle platoons with or without cut-in. Besides, the calibrated Virginia tech microscopic energy and emission model is applied in this study to investigate the impact of CAVs on the fuel consumption of the vehicle platoon and traffic flows. Under the cut-in condition, the SSDM outperforms ecological SDM and SDM in terms of stability considering different desired time headways. Moreover, single-lane vehicle dynamics are simulated for human-driven vehicles and CAVs.

The result shows that CAVs can reduce platoon-level fuel consumption. SSDM can save the platoon-level fuel consumption up to 15%, outperforming other existing control strategies. Considering the single-lane highway with merging, the higher market penetration of SSDM-equipped CAVs leads to less fuel consumption.

The proposed rule-based control method considered linear stability to generate smoother deceleration and acceleration curves. The research results can help to develop environmental-friendly control strategies and lay the foundation for the new methods.