Topic
Value proposition
About: Value proposition is a research topic. Over the lifetime, 3582 publications have been published within this topic receiving 88855 citations.
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TL;DR: In this article, the authors investigated which value-in-use management activities are currently implemented by suppliers, how these activities are linked to other business processes, and what differences in value in use management activities exist between various types of complex offerings.
30 citations
Book•
28 Jul 2005
TL;DR: In this paper, the authors present marketing-driven paradigms for the airport enterprise's aviation-related business to achieve sustainable growth for the 'Commercial Airport' concept: the role of loyalty schemes How to construct an airport marketing plan September 11 Attacks The Airport industry: an international picture.
Abstract: Contents: The airport enterprise: role and scope of activity The air transport value chain The aviation-related SBU: the airport enterprise's technical core business New marketing-driven paradigms for the airport enterprise's aviation-related business The development of the non-aviation related value proposition Achieving sustainable growth for the 'Commercial Airport' concept: the role of loyalty schemes How to construct an airport marketing plan September 11 Attacks The Airport industry: an international picture Afterword, Jean Cyrill Spinetta Bibliography Index.
30 citations
TL;DR: The transformation process from first ideas to ready analytics applications or in building analytics competence is covered, which seeks to address the gap in clear strategies and process for value generation from data.
Abstract: Understandably, much effort is being expended into analyzing “big data” to unleash its potentially enormous business value (McAfee et al., 2012; Wamba et al., 2017). New data sources evolve, and new techniques for storing and analyzing large data sets are enabling many new applications, but the exact business value of any one big data application is often unclear. From a practical viewpoint, organizations still struggle to use data meaningfully or they lack the right competencies. Different types of analytics problems arise in an organizational context, depending on whether the starting point is a precise request from a department that only lacks required skills or capabilities (e.g., machine learning) or rather it stems from a principal interest in working with big data (e.g., no own infrastructure, no methodical experience). So far, clear strategies and process for value generation from data are often missing. Much literature addresses the technical and methodical implementation, the transformative strength of big data (Wamba et al., 2015), the enhancement of firm performance by building analytics capability (Akter et al., 2016; Wamba et al., 2015), or other managerial issues (Davenport & Harris, 2007; McAfee et al., 2012). Little work covers the transformation process from first ideas to ready analytics applications or in building analytics competence. This article seeks to address this gap.
30 citations
TL;DR: In this article, the authors identify nine anticipated benefits/value proposition components of smart city activities, based on a literature review, and then use a comparative multiple case study analysis to investigate how value proposition components are present in the SC activities of six cities with demonstrated excellence.
30 citations
TL;DR: In this article, the authors explore the misalignment between technological growth and customer satisfaction by comparing the electric vehicle business model with the hybrid vehicles business model based on three parameters: channels, value propositions, and customer relationships.
30 citations