Value-based requirements engineering: exploring innovative e-commerce ideas

Gordijn, Jaap; Akkermans, Jos

doi:10.1007/s00766-003-0169-x

Cited by 463 publications

(146 citation statements)

References 58 publications

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“…2000-1;Gordijn J, & Akkermans J M., 2003). As mentioned above, Morris et al (2003) pointed out that the key to business model performance lies in the internal fit among model elements, and the external fit between the elements and the environment.…”

Section: Evaluation Methods Of Business Model Performancementioning

confidence: 99%

Effect of Supplier’s Market Power on Business Model Performance in B2B Market

Xu¹,

Zhao²,

Wang³

2017

ABR

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Business-to-business (B2B) enterprises, as the foundation of the national economy, are facing real growth opportunities but in lack of good theoretical guidance on business model. Business model study is a new research hotspot in both business circles and academic domain. Focusing on Industrial market, this paper studies the effect of supplier's market power on business model performance. After interviewing experts and distributing questionnaires, the author discovered that the supplier's market power has a positive influence on business model performance. Through structural equation modelling (SEM), it is revealed that competition environment and market position are the key components of supplier's market power, and both components have positive effect on business model performance. At the same time, competition environment and market position also have positive effect on each other. The main contributions of this research are summarized as follows: Firstly, the introduction of competition environment and market position sheds new light on the research into market power in B2B market; Secondly, the proposed model of the supplier's market power on business model performance lays the basis for scientific measurement of market power and its effect on business model performance; Finally, this research provides a good reference for enterprises to update their business strategy and model at the right time when the market power changes.

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Section: Evaluation Methods Of Business Model Performancementioning

confidence: 99%

Effect of Supplier’s Market Power on Business Model Performance in B2B Market

Xu¹,

Zhao²,

Wang³

2017

ABR

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“…An important feature is the ability to model services (ie, value bundles) enabled by multiple parties through the interaction of IT and humans. The e3value ontology, the foundation of the e3family, focuses on exploring, analysing, and evaluating value networks (Akkermans & Gordijn, 2003). With e3service, modellers can map customer needs on services and service compositions (Razo-Zapata, Gordijn, Leenheer, & Wieringa, 2015).…”

Section: Competing Artefact Analysismentioning

confidence: 99%

Capturing smart service systems: Development of a domain‐specific modelling language

Huber

Püschel

Röglinger

2019

Information Systems Journal

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Over the last years, the nature of service has changed owing to conceptual advances and developments in information technology. These developments have given rise to novel types of service and smart service systems (SSS), ie, resource configurations capable of learning, dynamic adaptation, and decision making. Currently, the internet of things (IoT) is turning physical objects into active smart things, bridging the gap between the physical and the digital world. Smart things advance SSS as they observe the physical environment, access local data, immerse into individuals' everyday lives and organizational routines. In line with the emergent nature of both phenomena, the impact of the IoT on SSS yet needs to be explored. Building the basis for explanatory and design‐led research and for the analysis and design of SSS, a means for the conceptual modelling of SSS that accounts for novel IoT‐enabled concepts is in high need. Hence, we designed, demonstrated, and evaluated a domain‐specific modelling language (DSML) for SSS. We evaluated the DSML by using it in the modelling of real‐world scenarios from all functional IoT domains, by submitting it to the scrutiny of industry experts, by discussing it against generic DSML requirements, and by analysing to what extent it meets domain‐specific design objectives compared with competing artefacts. To demonstrate the DSML, we included a complex real‐world scenario centred around the Nest Learning Thermostat.

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“…The exchange of top‐level requirement statements documented in NL between nontechnical stakeholders and technical stakeholders introduces significant design and development problems in subsequent SLC stages . The derived requirements are defined by engineers in language that is understandable to the SE team to complete the design in sufficient detail to produce the configuration items of the system . Forward leaning concept development shall solve these challenges through a multidisciplinary approach of making data‐driven decisions to improve the quality of systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Textual analysis of defects in engineering documentation via systematic decision execution

Smoots

2018

Systems Engineering

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This paper focuses on the Requirements Engineering process's vital role during systems development as the preparatory point and critical foundation of Systems Engineering. This paper proposes a framework for structuring decisions, based upon the INCOSE Decision Management Process that improves decisions early in the System Life Cycle. This paper introduces and applies the Nexus Engineering Execution Generation (NEX GEN) framework, a novel and unique capability to improve requirements by enabling a prediction of their impact on expected systems' performance to gain efficiencies in budget and acquisition. Using this framework defines requirements in a quantitative manner to determine documented requirement issues. Regression analysis indicated a statistically significant relationship between the predictor variable of ambiguity (linguistic quality attribute) and the response variable of system performance (usability metric). This study provides a framework and metrics as a complementary method for the development of requirements in a theoretical manner for the reflective practitioner. This framework is demonstrated through multiple federal system program case studies. K E Y W O R D Sdecision theory, probability theory, requirements engineering, system performance, systems engineering 358

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Value-based requirements engineering: exploring innovative e-commerce ideas

Cited by 463 publications

References 58 publications

Effect of Supplier’s Market Power on Business Model Performance in B2B Market

Effect of Supplier’s Market Power on Business Model Performance in B2B Market

Capturing smart service systems: Development of a domain‐specific modelling language

Textual analysis of defects in engineering documentation via systematic decision execution

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