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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01 Jan 2016
TL;DR: In this paper, a literature research and a business model-based questionnaire was conducted to determine both the concept and expected effects of digital transformation, and the research findings show that digital transformation is expected to change organizations across many different fronts as almost all business model constructs have at least one element that is expected or even stronger.
Abstract: Digital Transformation, Digital Technologies, Social, Mobile, Analytics, Cloud, Organizational Effects, Business Models, Business Model Canvas, Data-analysis, Survey. Many organizations nowadays feel pressured to change in order to meet customer demands and competitive pressure due to emerging digital technologies. When a combination of digital technologies is used a common heard buzzword is digital transformation. To date there only little academic research with regards to digital transformation and they often provide holistic non-deterministic definitions. In addition literature that dives deeper into the underlying technologies and effects only address specific elements or industries. This gap is address through a literature research and a business model based questionnaire held amongst IT consultants to determine both the concept and expected effects of digital transformation. We speak of digital transformation if a technology induced change by social, mobile, analytics or cloud technologies significantly impacts a minimal of three out of seven dimension on an individual, firm or social level. The research findings show that digital transformation is expected to change organizations across many different fronts as almost all business model constructs have at least one element that is expected to change moderately or even stronger. The greatest impact will be to organizations’ their value proposition, the customer segments they can identify and serve, the way organizations reach their customers, and the resources they use.
17 citations
TL;DR: In this paper , the authors investigated key themes and challenges in transitioning towards digitally-enabled servitization in the manufacturing industry and the relationship with the circular economy. But despite the increasing importance of servitisation and digitalizing business processes, the associated transition towards widespread adoption of the principles of the Circular Economy is slow.
Abstract: The Circular Economy, as a guiding model for business processes, is attracting interest due to its potential for aligning business and societal goals as it offers companies the opportunity to simultaneously focus on economic value creation and on the mitigation of environmental damage. It is becoming increasingly clear that digital technologies are an essential component of this model as they enable transparency and efficiency in closing material and energy cycles. Additionally, digitalization leads to efficient business models that revolve around adapting the value proposition to the insights gained from the continual analysis of data, shifting the emphasis of Product-Service Systems towards the service end of the spectrum. As such, these new business models are categorized as forms of Servitization. Despite the increasing importance of Servitization and digitalizing business processes, such as the move towards what is referred to as Industry 4.0 in the manufacturing industry, the associated transition towards widespread adoption of the principles of the Circular Economy is slow. This explorative study investigates key themes and challenges in transitioning towards digitally-enabled Servitization in the manufacturing industry and the relationship with the Circular Economy. Through interviews with experts from the realms of digital technology, Industry 4.0, and business sustainability, a set of research questions is developed that forms a research agenda.
17 citations
TL;DR: The value proposition helps to identify the potential benefits to be gained from using POCT, and the stakeholders to whom they accrue, as well as developing the business case and the implementation plan required to demonstrate effective adoption of a POCT-based service.
Abstract: Point-of-care testing (POCT) is a key enabling technology for disruptive and transformative innovation in healthcare, allowing tests to be performed quickly and close to the patient. This results i...
17 citations
19 Mar 2020
TL;DR: The proposed ontology and conceptual framework for DTs support researchers and practitioners in positioning and structuring their intended DT activities and communicating them to internal and external stakeholders.
Abstract: The development and progress in information and communication technologies will transform traditional products into smart products and allow to offer novel smart services [1]. Herein, the digital twin (DT) concept is regarded as a key technology to create value with smart services [2]. Although the research and applications of DTs emerge continuously many concerns are to be scrutinized [3]. The lack of a shared conceptual framework for DTs with an unambiguous terminology [4] complicates cross-functional discussions. Therefore, a systematization of the main dimensions of DTs is proposed in the form of an ontology and a conceptual framework thereof derived. The research questions addressed in this paper are a) «Which dimensions are used to classify and structure DTs in academic literature?», b) «What are the fundamental differences or specifications within these dimensions?» and c) «How do these different specifications relate to each other?» The focus of the research is on the objective to find classification systematics that are a) representing the entire spectrum of DTs, b) universally valid in all DT related domains and c) applicable in research and practice. A systematic literature review on the relevant aspects of DTs was conducted and the findings iteratively advanced within workshop sessions with academic experts. DTs are considered as integrators of physical and digital worlds as well as internal and external value creation. Further, the creation of DTs requires per definition the use of digital data. Hence, the proposed ontology and conceptual framework for DTs include the following main dimensions to consider for every DT: Data resources, external value creation and internal value creation. The main subdimensions of the data resources are the data sources to obtain the data, the data categories and the data formats. The main subdimension of the external value creation are the attributes of the services as the basis of the value propositions, the level of smartness of the connected products and the actors on the different levels of the ecosystem. The main subdimensions of the internal value creation are the lifecycle phases of products, the product management levels and the different generations of both. The proposed ontology and conceptual framework support researchers and practitioners in positioning and structuring their intended DT activities and communicating them to internal and external stakeholders. The holistic view on the data resource dimension further allows to easily deduct the needed data for certain applications or deduct possible applications from already available data.
17 citations
Posted Content•
TL;DR: This issue of the Journal of Service Science is dedicated to the inferences of system thinking upon recent service research advances, and in particular upon service science and SD logic.
Abstract: The forum, held in the island of Capri, Italy, has addressed intriguing issues such as complexity, system thinking, human behavior, viability, service systems, and in particular was based upon Service Science, Service Dominant logic and network theories. These topics represented the forum pillars since they constitute an attempt in proposing new marketing and management theories in line with the evolution of economic contexts, cultural and behavioral change of customers, globalization of systems and competition, information and communication technology with the Internet and web service, and other changes. The three themes are interdependent, integrative one to each other. In fact S-D logic dissolves the divides between goods/services and supplier/customer into co-created service and value. It forms a philosophy for the service science project and its applications in education, theory, and practice in its effort to create hassle-free, innovative service systems. Network theory is a systemic way of thinking and a methodology to go beyond fragmented research in marketing addressing complexity and context with direct application on service systems. Service-Dominant (S-D) logic presents its message through ten foundational premises. In brief, these premises put the following concepts to the fore: service is the fundamental basis of exchange. Note that it is “service” and not “services” as opposed to goods; goods are merely distribution mechanisms of service. Operant resources are those which do something to something. Both businesses and customers are operant resources meaning that they both act as opposed to the mainstream marketing idea that suppliers do things to customers who just react. The customer is always a co-creator of value. A supplier can only offer a value proposition on the market; the value actualization is performed by users in an idiosyncratic and contextual way. The network aspect is implicit through the statement that all social and economic actors are resource integrators, implying that value creation takes place through interaction in complex networks. S-D logic is based on international findings and openness to continuous improvements and creative developments. Service Science, Management, Engineering and Design (SSMED), usually just referred to as Service Science, is a global development program run by IBM together with universities. It is a call for academia, industry, and governments to become more systematic about service performance and innovation. Further, it is a proposed academic discipline and research area that would complement – rather than replace – the many disciplines that contribute to knowledge about service. We can note how S-D logic and SSMED are extremely interconnected with S-D logic that may be intended as the philosophical foundation of SSMED. The ultimate goal of service science, in fact, is to apply scientific knowledge on the design and improvements of service systems for business and societal purposes (such as efficiency, effectiveness and sustainability). The concern is that we do not master seamless and reliable service systems at a time when systems are becoming increasingly complex and global, making us increasingly vulnerable to systems sluggishness and failure. Every service system is both a provider and client of service that is connected by value propositions in value chains, value networks, or value-creating systems. Read more on service science on Google but stick to entries from the past six months; the program is developing fast and older entries may be misleading. Network Theory is both a way of thinking in relationships and interaction and a methodology to address complexity and context. It can be used with different degrees of sophistication: as a basis for verbal treatise (discussion or text), graphics (from sketches of nodes and links to computer generated diagrams), or mathematical applications. Network theory is a systems approach which in marketing has mainly been applied to
17 citations