Value Network Analysis Research Articles

Value network analysis for facilitator development in project-based learning

The method enhances Value Network Analysis (VNA) in the context of Project-Based Learning (PjBL). Utilizing the appropriated VNA, facilitators can reflect and continuously improve their learning support in an institutional (learning) setting. Thereby,•PjBL frames the VNA application through success factors and guidelines for effective PjBL practice•PjBL success factors and guidelines are∘linked to value transactions among PjBL stakeholders∘considered from a facilitator's perspective•PjBL is advanced in a transparent and participatory way.In order to make existing potential for change tangible, the method leads to developing proposals as substantiated offers to other stakeholders. Once getting accepted on the organizational level, their implementation completes the intended collective learning step.

Stakeholder value network analysis of prefabricated buildings based on value flow

In order to promote the process of building industrialization in China, prefabricated building has become an important means for the development of high quality building. However, many stakeholders in prefabricated building projects cannot visually obtain the value created by this model, which is the biggest obstacle to advance. Based on social exchange theory and stakeholder theory, this paper constructs a multilateral value network model with the owner as the central subject and core stakeholders such as the government, design units, construction units and prefab builders, and clarifies the content and direction of 30 value flows through literature research and expert interviews. Obtain data systematically quantitative theoretical model through a questionnaire a survey to clarify the value transmission of prefabricated buildings and search for the key path of value.

An Ecosystem View of Peer-to-Peer Electricity Trading: Scenario Building by Business Model Matrix to Identify New Roles

This article introduces new roles in future peer-to-peer electricity trading markets. Following a qualitative approach, firstly, the value network of the current electricity market is presented. To do so, service streams, critical roles, activities, and their setting in the electricity market are identified. Secondly, in order to identify the main sources of uncertainty, the business model matrix framework is utilized to analyze peer-to-peer electricity trading. Thirdly, four future scenarios are built based on user involvement and customer ownership. The outcome of the scenario building is the emergence of new roles, brokers, and representatives in the future peer-to-peer electricity markets. Fourth, based on the four future scenarios, changes in the value network, new roles, and emerging/evolving activities are identified. Finally, the two new roles are discussed from grid structure, security and privacy, legal, and data protection perspectives. The data is gathered by conducting semi-structured interviews with stakeholders in the current electricity market as well as potential disruptors. This article elaborates on the configuration of the value network in the electricity market and highlights the changes that peer-to-peer trading imposes to the status quo. Through the outcomes of the value network analysis, it assists policy makers to consider the requirements and current market players to reconsider their business models.

MODEL EKOSISTEM INOVASI UNIVERSITAS (STUDI KASUS DI BANDUNG TECHNO PARK)

The establishment of a national innovation system is necessary to encourage innovation and socio-economic development. The most important thing in the innovation system is the collaboration of academic, business, community, and government in the innovation ecosystem. The purpose of this study is to determine the actors involved from each entity in the innovation ecosystem, the relationship between actors, and the impact of the relationship between actors. Through case study research method with the object of research at Bandung Techno Park at Telkom University, this study investigates the mutual relationship between entities. Value network analysis is then used to model the innovation ecosystem. This study uses a qualitative method with data collection through interviews with 14 speakers representing each entity. The research results obtained that not all entities have actors who involved in the innovation ecosystem. Some obstacles such as the quality of research, lack of researchers’ ability to see market conditions so that innovative products are considered not following the needs of consumers and industries in Indonesia that dominated by agricultural-based industries becomes a difficulty in commercializing technological innovation through licensing. This research shows that BTP’s role as Technology Transfer Officer still has shortcomings to align the results of research from academic with business needs. In addition, government regulation has not fully sided with domestic technological innovations to develop. Keywords: university, innovation ecosystem, value network analysis, qualitative method, techno park.

Modelling organisational value realisation in e-prescribing exchanges as a service value network

The digital network structure of e-prescribing creates a new organisational form that, to date has failed to reconcile the imbalance of those who bear the costs of creating value for other members of the system. A conceptual framework built on the service value network examines exchanges between the network enabler, which provides the e-prescribing service, and the service providers who temporarily join together to virtually process an e-prescribing transaction. Each of these exchanges is assessed using value network analysis, which determines the value created for both individual actors and the network enablers. The description of these exchanges and the context in which they are carried out are developed through interpretive synthesis that pieces together hundreds of medication management articles related to e-prescribing. The paper seeks a value-driven explanation for adoption challenges faced by e-prescribing in the United States.

Modelling organisational value realisation in e-prescribing exchanges as a service value network

The digital network structure of e-prescribing creates a new organisational form that, to date has failed to reconcile the imbalance of those who bear the costs of creating value for other members of the system. A conceptual framework built on the service value network examines exchanges between the network enabler, which provides the e-prescribing service, and the service providers who temporarily join together to virtually process an e-prescribing transaction. Each of these exchanges is assessed using value network analysis, which determines the value created for both individual actors and the network enablers. The description of these exchanges and the context in which they are carried out are developed through interpretive synthesis that pieces together hundreds of medication management articles related to e-prescribing. The paper seeks a value-driven explanation for adoption challenges faced by e-prescribing in the United States.

Centrality and community detection: a co-marketing multilayer network

PurposeBased on the data obtained from a questionnaire of 595 people, the authors explore the relative importance of consumers, checking whether socioeconomic variables influence their centrality, detecting the communities within the network to which they belong, identifying consumption patterns and checking whether there is any relationship between co-marketing and consumer choices.Design/methodology/approachA multilayer network is created from data collected through a consumer survey to identify customers’ choices in seven different markets. The authors focus the analysis on a smaller kinship and cohabitation network and apply the LART network community detection algorithm. To verify the association between consumers’ centrality and variables related to their respective socioeconomic profile, the authors develop an econometric model to measure their impact on consumer’s degree centrality.FindingsBased on 595 responses analysing individual consumers, the authors find out which consumers invest and which variables influence consumers’ centrality. Using a smaller sample of 70 consumers for whom they know kinship and cohabitation relationships, the authors detect communities with the same consumption patterns and verify that this may be an adequate way to establish co-marketing strategies.Originality/valueNetwork analysis has become a widely used technique in the extraction of knowledge on consumers. This paper’s main (and novel) contribution lies in providing a greater understanding on how multilayer networks represent hidden databases with potential knowledge to be considered in business decisions. Centrality and community detection are crucial measures in network science which enable customers with the highest potential value to be identified in a network. Customers are increasingly seen as multidimensional, considering their preferences in various markets.

Enhancing Situational Awareness on Fragmented Information in Complex Systems with Workflow Information Network Analysis

In industrial contexts, information is usually fragmented into a complex network of organisations and systems. To develop their information management, the organisations need to obtain and maintain situational awareness of their workflows, and identify and understand relevant information and how the planned actions affect the system in the near future. This paper introduces workflow information network analysis, a managerial method for analysing and improving situational awareness in complex systems. The method is built on the principles of information management, product lifecycle management and value network analysis. A six-step process for applying the method is presented, and the validity of the method has been demonstrated with a case study in which the information flows of a networked aircraft maintenance organisation are analysed. The case study shows that the method enables the identification of discontinuities and bottlenecks in information flows, as well as produces suggestions for further development.

5G network slicing strategies for a smart factory

Factories become increasingly dependent on network connectivity. The next generation of mobile communications, 5G, will enable better flexibility and service quality through network slicing. Network slicing is a means of creating logically separated use case specific virtual networks over the same physical network. However, there is a lack of techno-economic research related to the management of network slices. Network slice management needs to take into account the multiple network domains, business actors and value networks involved in a vertical such as smart factories. The key for network slices to succeed where other resource reservation and quality of service technologies have previously failed is with well-defined feasible management models and strategies. In this paper, we focus on network slice management, possible strategies and implications for a smart factory. We study a state-of-the-art electronics assembly factory in Finland to find existing need for network slicing and missing capabilities to support smart factory use cases. Next, we define use case specific network slices and develop a network slice management model based on 5G specifications. The model allows for distribution of network functions between business actors over multiple network domains. The value network analysis method is utilized to develop alternative configurations that constitute the network slicing strategies facilitated by the model. Factory managers can decide on the most feasible strategy based on traditional factors such as make or buy, security, and level of automation. The strategies also differ in their technical applicability to different use cases. A feasibility study reveals the strategic differences from factory, local network operator and large mobile network operator perspectives.

Modeling of value flows in logistics networks. Comparison of basic tools

The article presents the necessity of introducing modern systems for analyzing value flows in modern logistics networks. The essence of logistic networks and requirements for analytical systems have been presented. The main available approaches to analyzing value flows in the network have been identified: e3-value modeling, c3-value modeling framework, Value Network Analysis<sup>TM</sup>, SimulValor, Modified SimulValor. These approaches (called models) were subjected to a critical analysis on the basis of which the basic directions of their development were indicated.

Intelligent business transformation through market‐specific value network analysis: Structured interventions and process bootstrapping in geomarketing

When organizations aim to expand their market share by positioning a product that is well established in a certain customer segment by positioning that product in another market segment, they may need to adjust their processes accordingly. Implementing such a strategic move for growth while accounting for existing product and process knowledge requires stakeholder‐centered and constructive interventions. In this paper, we demonstrate the use of value network analysis for this transformation process, reporting an example case of a telecommunications provider, which approached private households based on the customer experience in the business customer segment. Value network analysis not only enabled the removal of communication‐based resentments by opening acceptance to organizational change but also helped define core processes in order to reach business objectives.

MAPPING BUSINESS MODEL RISK FACTORS

Drivers like competitive pressure and technological change push organisations to innovate their business model (BM). However, this complex form of innovation not only offers many chances but also involves several risks. Value creation in complex and dynamic value networks with a multitude of different actors leads to a higher level of uncertainty and a larger number of risks. To build profitable and sustainable BMs, the relevant risk factors need to be identified, analysed, and managed. By applying and adapting the value network analysis (VNA), this work creates a methodology for identifying BM risk factors within the value network of a BM and unveils a set of general BM risk factors within the value network. Results are based on a detailed literature review and the use of the Action Design Research (ADR).

Business model strategies: Flexibility trade in emerging low voltage distribution networks

Empowered by information and communication technologies (ICT) analytics and smart technologies, the energy model landscape is changing with flexibility at the core of a new energy market design. In particular, multi-sided platforms (MSPs) has gained prominent attention as a business model that creates value by enabling direct interactions between several distinct groups of actors who need each other in order to deliver products to their customers. However, as MSPs are less familiar within the energy market, there has been little investigation in modelling this emerging and dynamic ecosystem. Utilising the business modelling methodology of value network analysis and the key informant technique, value flows were modelled within the context of a MSP to understand the creation, delivery and capture of value in a network of interdependent relationship, its networked position and the stakeholder interactions required for delivery of local flexibility. Supported by this analysis, this paper focuses on the LV area of the smart grid, and presents the Local Flexibility Market (LFM) as a Multi-Sided Plarform. In comparison to the traditional utility model, the complexity of this recharacterization of the industry ecosystem is significant. While it presents new opportunities for incumbent energy providers to collaborate and develop new products, the proposed LFM market design will also dramatically reshape the value model of the industry.

Information-based management mode based on value network analysis for livestock enterprises

ABSTRACTWith the development of computer and IT technologies, enterprise management has gradually become information-based management. Moreover, due to poor technical competence and non-uniform management, most breeding enterprises show a lack of organisation in data collection and management. In addition, low levels of efficiency result in increasing production costs. This paper adopts ‘struts2’ in order to construct an information-based management system for standardised and normalised management within the process of production in beef cattle breeding enterprises. We present a radio-frequency identification system by studying multiple-tag anti-collision via a dynamic grouping ALOHA algorithm. This algorithm is based on the existing ALOHA algorithm and uses an improved packet dynamic of this algorithm, which is characterised by a high-throughput rate. This new algorithm can reach a throughput 42% higher than that of the general ALOHA algorithm. With a change in the number of tags, the system throughput is relatively stable.

Designing an Institutional Investor's Collaborative Network: A Case Study of Value Network Analysis

As elaborated in our paper — Social Capital and Building an Institutional Investor’s Collaborative Network — a new “collaborative” model of investing lies at the heart of our re-intermediation thesis, and this model is premised upon institutional investors forming broad and deep relationships with investment partners to build their social capital. In this paper, we aim to provide practical guidance for an ego investor to maximize the effectiveness and efficiency of its collaboration strategy, by developing a generic model for the collaborative investment network, using the results from a rigorous value network analysis. Specifically, our model shows the great potential of value network analysis in managing the complexity and uncertainty of exchange activities between institutional investors for multiple types of resources as well as enhancing the dynamic capabilities of institutional investors by providing them a transparent, collaborative, and live platform to continuously and consistently learn from the past and quickly adapt to the internal and external changes in a networked environment. Further, our next goals include extending the level of value network analysis from an ego investor to the whole network, studying the longitudinal evolution of a collaborative investment network, as well as minimizing the potential moral hazard, free-riding, and other social dilemmas associated with the implementation of collaboration strategy.

The application of value network analysis at an ICT company – case study

The application of value network analysis at an ICT company – case study

The process of developing distributed-efficacy and social practice in the context of ‘ending AIDS’

Introduction: this article reflects on data that emanated from a programme evaluation and focuses on a concept we label ‘distributed-efficacy’. We argue that the process of developing and sustaining ‘distributed-efficacy’ is complex and indeterminate, thus difficult to manage or predict. We situate the discussion within the context of UNAIDS’ recent strategy — Vision 95:95:95 — to ‘end AIDS’ by 2030 which the South African National Department of Health is currently rolling out across the country.Method: A qualitative method was applied. It included a Value Network Analysis, the Most Significant Change technique and a thematic content analysis of factors associated with a ‘competent community’ model. During the analysis it was noticed that there were unexpected references to a shift in social relations. This prompted a re-analysis of the narrative findings using a second thematic content analysis that focused on factors associated with complexity science, the environmental sciences and shifts is social relations.Findings: the efficacy associated with new social practices relating to HIV risk-reduction was distributed amongst networks that included mother—son networks and participant—facilitator networks and included a shift in social relations within these networks.Discussion: it is suggested that for new social practices to emerge requires the establishment of ‘distributed-efficacy’ which facilitates localised social sanctioning, sometimes including shifts in social relations, and this process is a ‘complex’, dialectical interplay between ‘agency’ and ‘structure’.Conclusion: the ambition of ‘ending AIDS’ by 2030 represents a compressed timeframe that will require the uptake of multiple new bio-social practises. This will involve many nonlinear, complex challenges and the process of developing ‘distributed-efficacy’ could play a role in this process. Further research into the factors we identified as being associated with ‘distributed-efficacy’ — relationships, modes of agency and shifts in social relations — could add value to achieving Vision 95:95:95.

Participatory and prospective value network analysis: supporting transition towards biofuels in Finnish road transport

If the European energy and transport sectors are to meet the 2050 energy and climate policy targets, major socio-technical change (transition) is necessary. Along with new technologies, changes are required also in other societal functions such as business models and consumer habits. The transition will require cooperation between public and private actors. This paper discusses the socio-technical change towards a 2050 road transport system based on renewable energy. More precisely, it proposes a novel, participatory foresight approach in the context of biofuels in Finland. The participatory and prospective value network analysis outlined in the paper combines elements from the fields of foresight, socio-technical change on multiple levels and value network analysis. It presents a novel, policy and business-relevant application with a set of practical tools to support development of implementation strategies, but also to boost new business opportunities in the fields of energy and transport.

Design of Self-service Technology for Passenger Shipping Transportation Service System in Indonesia

This study aims to explain how does the application of value co-creation on the passenger ships transportation in Indonesia. Ships are mass transportation that need service quality improvement programs, especially in Indonesia. This study sought to identify stakeholders who could be involved and make a value network analysis before entering the stage of value co-creation process. This study also made the scheme of three programs, namely involvement, curation, and empowerment as the foundation of value orchestration platform. In addition, this study want to compare between existing platforms and proposed platform, then compile them with the help of a brief interview data from a few respondents. The conclusion is expected to be an academic and practical support for the next steps in the implementation of SST on the transport ship passengers in Indonesia.

A Quantitative Model for Decomposing & Assessing the Value for the Customer

The research presented in this paper proposes a novel quantitative model for decomposing and assessing the Value for the Customer. The proposed approach builds on the different dimensions of the Value Network analysis proposed by Verna Allee having as background the concept of Value for the Customer proposed by Woodall. In this context, the Value for the Customer is modelled as a relationship established between the exchanged deliverables and a combination of tangible and intangible assets projected into their endogenous or exogenous dimensions. The Value Network Analysis of the deliverables exchange enables an in-depth understanding of this frontier and the implicit modelling of co-creation scenarios. The proposed Conceptual Model for Decomposing Value for the Customer combines several concepts: from the marketing area we have the concept of Value for the Customer; from the area of intellectual capital the concept of Value Network Analysis; from the collaborative networks area we have the perspective of the enterprise life cycle and the endogenous and exogenous perspectives; at last, the proposed model is supported by a mathematical formal description that stems from the area of Multi-Criteria Decision Making. The whole concept is illustrated in the context of a case study of an enterprise in the footwear industry (Pontechem). The merits of this approach seem evident from the contact with Pontechem as it provides a structured approach for the enterprises to assess the adequacy of their value proposition to the client/customer needs and how these relate to their endogenous and/or exogenous tangible or intangible assets. The proposed model, as a tool, may therefore be a useful instrument in supporting the commercialisation of new products and/or services.