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Register a new userValue, Variety and Viability: New Business Models for Co-Creation in Outcome-based Contracts
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Added by
Gerard Briscoe Dr
Publication date
2012
fields
Informatics Engineering
and research's language is
English
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We propose that designing a manufacturers equipment-based service value proposition in outcome-based contracts is the design of a new business model capable of managing threats to the firms viability that can arise from the contextual variety of use that customers may subject the firms value propositions. Furthermore, manufacturers need to understand these emerging business models as the capability of managing both asset and service provision to achieve use outcomes with customers, including emotional outcomes such as customer experience. Service-Dominant Logic proposes that all goods are a distribution mechanism for service provision, upon which we propose a value-centric approach to understanding the interactions between the asset and service provision, and suggest a viable systems approach towards reorganising the firm to achieve such a business model. Three case studies of B2B equipment-based service systems were analysed to understand customers co-creation activities in achieving outcomes, in which we found that the co-creation of complex multi-dimensional value could be delivered through the different value propositions of the firm catering to different aspects (dimensions) of the value to be co-created. The study provides a way for managers to understand the effectiveness (rather than efficiency) of firms in adopting emerging business models that design for value co-creation in what are ultimately complex socio- technical systems.
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While service-dominant logic proposes that all Goods are a distribution mechanism for service provision (FP3), there is a need to understand when and why a firm would utilise direct or indirect (goods) service provision, and the interactions between them, to co-create value with the customer. Three longitudinal case studies in B2B equipment-based complex service systems were analysed to gain an understanding of customers co-creation activities to achieve outcomes. We found the nature of value, degree of contextual variety and the firms legacy viability to be viability threats. To counter this, the firm uses (a) Direct Service Provision for Scalability and Replicability, (b) Indirect Service Provision for variety absorption and co-creating emotional value and customer experience and (c) designing direct and indirect provision for Scalability and Absorptive Resources of the customer. The co-creation of complex multidimensional value could be delivered through different value propositions of the firm. The research proposes a value-centric way of understanding the interactions between direct and indirect service provision in the design of the firms value proposition and proposes a viable systems approach towards reorganising the firm. The study provides a way for managers to understand the effectiveness (rather than efficiency) of the firm in co-creating value as a major issue in the design of complex socio-technical systems. Goods are often designed within the domain of engineering and product design, often placing human activity as a supporting role to the equipment. Through an SDLogic lens, this study considers the design of both equipment and human activity on an equal footing for value co-creation with the customer, and it yielded interesting results on when direct provisioning (goods) should be redesigned, considering all activities equally.
Web Based Query Management System (WBQMS) is a methodology to design and to implement Mobile Business, in which a server is the gateway to connect databases with clients which sends requests and receives responses in a distributive manner. The gateway, which communicates with mobile phone via GSM Modem, receives the coded queries from users and sends packed results back. The software which communicates with the gateway system via SHORT MESSAGE, packs users requests, IDs and codes, and sends the package to the gateway; then interprets the packed data for the users to read on a page of GUI. Whenever and wherever they are, the customer can query the information by sending messages through the client device which may be mobile phone or PC. The mobile clients can get the appropriate services through the mobile business architecture in distributed environment. The messages are secured through the client side encoding mechanism to avoid the intruders. The gateway system is programmed by Java, while the software at clients by J2ME and the database is created by Oracle for reliable and interoperable services.
In this paper, we propose a machine-learning assisted modeling framework in design-technology co-optimization (DTCO) flow. Neural network (NN) based surrogate model is used as an alternative of compact model of new devices without prior knowledge of device physics to predict device and circuit electrical characteristics. This modeling framework is demonstrated and verified in FinFET with high predicted accuracy in device and circuit level. Details about the data handling and prediction results are discussed. Moreover, same framework is applied to new mechanism device tunnel FET (TFET) to predict device and circuit characteristics. This work provides new modeling method for DTCO flow.
Recommender Systems are nowadays successfully used by all major web sites (from e-commerce to social media) to filter content and make suggestions in a personalized way. Academic research largely focuses on the value of recommenders for consumers, e.g., in terms of reduced information overload. To what extent and in which ways recommender systems create business value is, however, much less clear, and the literature on the topic is scattered. In this research commentary, we review existing publications on field tests of recommender systems and report which business-related performance measures were used in such real-world deployments. We summarize common challenges of measuring the business value in practice and critically discuss the value of algorithmic improvements and offline experiments as commonly done in academic environments. Overall, our review indicates that various open questions remain both regarding the realistic quantification of the business effects of recommenders and the performance assessment of recommendation algorithms in academia.
As the complexity of the scan algorithm is dependent on the number of design registers, large SoC scan designs can no longer be verified in RTL simulation unless partitioned into smaller sub-blocks. This paper proposes a methodology to decrease scan-chain verification time utilizing SCE-MI, a widely used communication protocol for emulation, and an FPGA-based emulation platform. A high-level (SystemC) testbench and FPGA synthesizable hardware transactor models are developed for the scan-chain ISCAS89 S400 benchmark circuit for high-speed communication between the host CPU workstation and the FPGA emulator. The emulation results are compared to other verification methodologies (RTL Simulation, Simulation Acceleration, and Transaction-based emulation), and found to be 82% faster than regular RTL simulation. In addition, the emulation runs in the MHz speed range, allowing the incorporation of software applications, drivers, and operating systems, as opposed to the Hz range in RTL simulation or sub-megahertz range as accomplished in transaction-based emulation. In addition, the integration of scan testing and acceleration/emulation platforms allows more complex DFT methods to be developed and tested on a large scale system, decreasing the time to market for products.
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