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A Model-based Approach for Capturing Consumer Preferences from Crowdsources: The Case of Twitter
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2016 (English)In: IEEE RCIS 2016: IEEE 10th International Conference on Research Challenges in Information Science / [ed] Sergio España, Jolita Ralyté, Carine Souveyet, IEEE Computer Society, 2016, 65-76 p.Conference paper (Refereed)
Abstract [en]

Consumer choices are enormously influential in the success of the companies and organizations behind the highly competitive global service and product offerings of today. Consumer choice relates to preference, i.e. a set of assumptions a person creates around a service or a product such as convenience, utility or aesthetics. Furthermore, consumer preferences allow ranking of different assumptions about products or services based on the expected or to-be-experienced satisfaction of consuming them. In our previous work, we proposed a conceptualization of consumer preferences—the Consumer Preference Meta-Model (CPMM)—to enable a classification and ranking of the preferences that would be the basis for deciding which of would be considered to be developed into supporting information systems/services. In this study we collect consumer preferences through crowdsourcing, and in particular Twitter, because of its increasing popularity as a source of up-to-date comments and information about current services and products. The tweets of four major American airlines were processed using different techniques from natural language processing (NLP) that enabled the classification of their objectives, content, and importance within CPMM. By next mapping the highest-ranked results from CPMM to goal models enabled a model-based linkage from a corpus of preferences contained within short texts to high-level requirements for system/services.

Place, publisher, year, edition, pages
IEEE Computer Society, 2016. 65-76 p.
Series
Proceedings of the ... International Conference on Research Challenges in Information Science, ISSN 2151-1357
Keyword [en]
value, consumer value, consumer preference, crowdsourcing, model-based requirements, goal modeling
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-135404DOI: 10.1109/RCIS.2016.7549323ISBN: 978-1-4799-8710-8OAI: oai:DiVA.org:su-135404DiVA: diva2:1045188
Conference
2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS), Grenoble, France, 1-3 June 2016
Available from: 2016-11-08 Created: 2016-11-08 Last updated: 2016-11-18Bibliographically approved
In thesis
1. Utilizing Consumer Preferences to Promote Values Awareness in Information Systems Development
Open this publication in new window or tab >>Utilizing Consumer Preferences to Promote Values Awareness in Information Systems Development
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The challenges of developing the information systems (IS) that support modern enterprises are becoming less about engineering and more about people. Many of the technical issues of the past, such as hardware size and power, connectivity, and robust software, are engineering problems that have largely been solved. In the next stage of computing, the human factor will be far more important than it has been in the past: the colors of an interface or the shape of an icon are the engineering problems of the past, and the availability and usefulness of such basic solutions is rapidly coming to a close. A new paradigm is needed that provides a roadmap of higher level conceptions and values, one about humane computing.

A part of this older, mechanistic approach are quantitative, economic values whose impact on IS are readily visible and acknowledged within software engineering. However, qualitative values, and in particular consumer preferences, have been researched to a lesser degree, and there has been very little direct application.  To create the next-generation information systems, requirements engineers and systems developers need new methods to capture the real preferences of consumers, conceptualize these abstract concepts, and then relate such preferences to concrete requirements for information systems.

To address this problem, this thesis establishes a conceptual link between the preferences of consumers and system requirements by accommodating the variations between them and expressing them via a conceptual model. Modeling such preferences and values so that they can be used as requirements for IS development is the primary contribution of this work. This is accomplished via a design science research paradigm to support the creation of the works’ primary artifact—the Consumer Preference-aware Meta-Model (CPMM).

CPMM is intended to improve the alignment between business and information systems by capturing and concretizing the real preferences of consumers and then expressing such preferences via the requirements engineering process, with the eventual output being information systems. CPMM’s development relies on theoretical research contributions within three areas in information systems—Business Strategy, Enterprise Architecture, and Requirements Engineering—whose relationships to consumer values have been under-researched and under-applied.

The case studies included in this thesis each demonstrate the significance of consumer preferences to each of these three areas.  In the first, a set of logical mappings between CPMM and a common approach to business strategy (strategy maps/balanced scorecards) is produced. In the second, CPMM provides the conceptual undergirding to process a massive amount of unstructured consumer-generated text to generate system requirements for the airline industry. In the concluding case, an investigation of foreign and domestic students at Swedish universities is structured through CPMM, one that first discovers the requirements for a consumer preference-based online education and then produces feature models for such a software product line-based system. The significance of CPMM as a lens for discovering new concepts and highlighting important information within consumer preference data is clearly seen, and the usefulness of the meta-model is demonstrated by its broad and beneficial applicability within information systems practice and research.

Place, publisher, year, edition, pages
Stockholm: Department of Computer and Systems Sciences, Stockholm University, 2016. 168 p.
Series
Report Series / Department of Computer & Systems Sciences, ISSN 1101-8526 ; 16-016
Keyword
consumer preferences, requirements engineering, enterprise architecture, business strategy, goal modeling
National Category
Information Systems, Social aspects
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-135505 (URN)978-91-7649-583-4 (Print) (ISBN)978-91-7649-584-1 (PDF) (ISBN)
Public defence
2016-12-14, Lilla hörsalen, NOD-huset, Borgarfjordsgatan 12, Kista, 13:00 (English)
Opponent
Supervisors
Available from: 2016-11-21 Created: 2016-11-10 Last updated: 2016-11-22Bibliographically approved

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