Abstract: Authenticity is a valuable attribution for organizations, but one that raises a ...
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Abstract: Authenticity is a valuable attribution for organizations, but one that raises a challenge of audience acceptance for innovative entrepreneurs. In particular, organizations that depart from an established type risk being judged as inauthentic. However, entrepreneurs may be able to overcome this challenge by basing their authenticity on notions of craft—such as skilled hands-on techniques, sophisticated ingredients, and small-scale artistry rather than mass industrial manufacturing—that better support innovation. We propose that communities vary in the extent to which they embrace craft production as an evolved understanding of authenticity that is less concerned with conformity to type. This local context, in turn, conditions the likelihood of entrepreneurs creating innovative ventures that rely on perceptions of craft authenticity. We develop this argument through a mixed-methods study of the spatially uneven emergence of gourmet food trucks across the United States. Our findings contribute to research on authenticity and the geography of entrepreneurship and innovation.
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Semantic filters:
truck industry
Topics:
Twitter innovation management entrepreneurship value creation marketing management
Methods:
qualitative interview theory development descriptive statistic mixed method archival research
HOW DO YOU DRIVE? ANALYZING VEHICLE SENSORDATA IN PRODUCT LIFECYCLE MANAGEMENT SYSTEMS
2020 | European Conference On Information Systems | Citations: 0
Authors: Brandt, Niklas; Ahlemann, Frederik
Abstract: For most car and truck manufacturers access to information about the status of ...
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Abstract: For most car and truck manufacturers access to information about the status of produced vehicles end with their sale. With embedded connectivity units this changes so that manufacturers can gather data from vehicle in-build sensors and thus, gain insights into each products usage. Our study investigates why manufacturers aim to integrate connectivity units into their products to gather sensor based usage information and what hinders them to do so. Thereby, we aim to identify the factors that have an influence on the decision of vehicle manufacturers to adopt the concept of the vehicle digital twin. To unveil those factors, we conducted 30 expert interviews at two vehicle manufacturers in which we found benefits and barriers regarding the realization of a product digital twin. By conceptualizing the benefits and barriers, which have a positive or negative influence on the adoption decision from the perspective of the manufacturers, we were able to derive general influences on the adoption decision. In our adapted technology-organization-environment framework we found influences in the technological (i.e. product data and product heterogeneity), the organizational (i.e. business model orientation, readiness of internal processes and digital culture) and the environmental (i.e. competitors behaviour, legal regulations and customer demand) dimension.
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Semantic filters:
truck industry
Topics:
digital twin production management anonymity innovation management business model