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The aim of this paper is to investigate how social media use (SMU) affects the entrepreneurial orientation (EO) and entrepreneurial opportunities (EOP) of start-ups.

The hypothesis testing and analysis were conducted using the partial least squares approach to structural equation modeling (PLS-SEM).

The research shows that SMU has a strong positive impact on EOP, while it has no impact on start-ups' EO. Interestingly, the impact of SMU on EOP is stronger than the impact of EO on EOP.

The findings add new knowledge to the emerging research stream that focuses on SMU in the context of entrepreneurship and provides useful insights for both scholars and practitioners. In particular, the evidence suggests implications for stakeholders with regard to their firms' entrepreneurial activities. This research offers several possible avenues for future research.

People with complex health conditions must often navigate landscapes of uncoordinated public, private and voluntary health-care providers to obtain the care they need. Complex health conditions frequently transcend the scope of typical health-care service systems. The purpose of this paper is to explore and characterize such unique assemblages of actors and services as “user-defined ecosystems”.

Building on literature on customer ecosystems, this paper introduces the concept of the user-defined ecosystem (UDE). Using an abductive approach, the authors apply the concept in an interpretive, qualitative study of ten families with special needs children.

This study uncovers complex UDEs, where families actively combine a broad range of services. These ecosystems are unique for each family and extend beyond the scope of designed service ecosystems. Thus, the families are forced to assume an active, coordinating role.

This paper shows how to identify ecosystems from the user’s point of view, based on the selected user unit (such as a family) and the focal value-creating function of the ecosystem for the user.

This paper highlights how service providers can support and adapt to UDEs and, thus, contribute to user value and well-being. This can be used to understand users’ perspectives on service and systems in health and social care.

This study develops the concept of the UDE, which represents a customer-focused perspective on actor ecosystems and contrasts it with a provider-focused and a distributed perspective on ecosystems. This study demonstrates the practical usefulness of the conceptualization and provides a foundation for further research on the user’s perspective on ecosystems.

Dynamic advertising, including television and online video ads, demands new theory and tools developed to understand attention to moving stimuli. The purpose of this study is to empirically test the predictions of a new dynamic attention theory, Dynamic Human-Centred Communication Systems Theory, versus the predictions of salience theory.

An eye-tracking study used a sample of consumers to measure visual attention to potential areas of interest (AOIs) in a random selection of unfamiliar video ads. An eye-tracking software feature called intelligent bounding boxes (IBBs) was used to track attention to moving AOIs. AOIs were coded for the presence of static salience variables (size, brightness, colour and clutter) and dynamic attention theory dimensions (imminence, motivational relevance, task relevance and stability).

Static salience variables contributed 90% of explained variance in fixation and 57% in fixation duration. However, the data further supported the three-way interaction uniquely predicted by dynamic attention theory: between imminence (central vs peripheral), relevance (motivational or task relevant vs not) and stability (fleeting vs stable). The findings of this study indicate that viewers treat dynamic stimuli like real life, paying less attention to central, relevant and stable AOIs, which are available across time and space in the environment and so do not need to be memorised.

Despite the limitations of small samples of consumers and video ads, the results of this study demonstrate the potential of two relatively recent innovations, which have received limited emphasis in the marketing literature: dynamic attention theory and IBBs.

This study documents what does and does not attract attention to video advertising. What gets attention according to salience theory (e.g. central location) may not always get attention in dynamic advertising because of the effects of relevance and stability. To better understand how to execute video advertising to direct and retain attention to important AOIs, advertisers and advertising researchers are encouraged to use IBBs.

This study makes two original contributions: to marketing theory, by showing how dynamic attention theory can predict attention to video advertising better than salience theory, and to marketing research, showing the utility of tracking visual attention to moving objects in video advertising with IBBs, which appear underutilised in advertising research.

The purpose of this paper is to document the results and the impact of the ESRC-funded High Street UK 2020 (HSUK2020), a project designed to take the existing academic knowledge relating to retail and high street change directly to UK High Streets, to improve local decision-making and, ultimately, their vitality and viability.

Through a systematic literature review, and by following the tenets of engaged scholarship, the authors identified 201 factors that influence the vitality and viability of town centres. Through the consensus-building Delphi technique, a panel of 20 retail experts identified the top 25 priorities for action.

Taking a place management approach led to the development of a more strategic framework for regeneration, which consisted of repositioning, reinventing, rebranding and restructuring strategies (4R’s of regeneration). Collaboration with the project towns resulted in identification of the strategy area that would add the most value, and the impact of the 4R’s and the top 25 priorities is demonstrated via numerous town examples.

Knowledge exchange projects, such as High Street UK2020, have an important contribution to make, not by developing even more theory that is unlikely to get utilised, instead their contribution is to bring existing theory into practical use.