IDEAS home Printed from https://ideas.repec.org/a/mgs/ijoied/v4y2019i6p51-67.html
   My bibliography  Save this article

A Var Analysis of the Connection between FDI and Economic Growth: A Case Study from Vietnam after 30 Years Reforms

Author

Listed:
  • Jonas Jasper

    (Institute for Business-to-Busines Marketing, Münster, Germany)

Abstract

Innovations are an important factor for companies to build and sustain a competitive advantage. Even though companies generate up to 51 % of their income with products and services launched less than three years ago, the failure rate of new product development is still at around 90 %. One way to reduce the failure rate of innovations is to conduct customers’ preference measurements in the early stages of new product development processes. However, customers often display a substantial amount of uncertainty when having to evaluate highly innovative products as they may not be able to grasp its features and functionalities. Therefore, some empirical studies have already compared different presentation forms in a conjoint setting. These studies aim to optimize preference measurement results by exposing respondents to state-of-the-art product descriptions in the new product development process. Based on a quantitative-empirical analysis, this thesis contributes to this research vein by integrating virtual reality-based (VR) product representations within a conjoint setting for the measurement of preferences in the development process of a technically complex innovation. The results of this study point out that VR offers the potential for early customer integration within the new product development process.

Suggested Citation

  • Jonas Jasper, 2019. "A Var Analysis of the Connection between FDI and Economic Growth: A Case Study from Vietnam after 30 Years Reforms," International Journal of Innovation and Economic Development, Inovatus Services Ltd., vol. 4(6), pages 51-67, Februaury.
    • Handle: RePEc:mgs:ijoied:v:4:y:2019:i:6:p:51-67
    DOI: 10.18775/ijied.1849-7551-7020.2015.46.2004
    as

    Download full text from publisher

    File URL: https://researchleap.com/wp-content/uploads/2019/02/04.Virtual-Reality-Based-Product.pdf
    Download Restriction: no
    File URL: https://researchleap.com/virtual-reality-based-product-representations-in-conjoint-analysis/
    Download Restriction: no
    File URL: https://libkey.io/10.18775/ijied.1849-7551-7020.2015.46.2004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rammer, Christian & Crass, Dirk & Doherr, Thorsten & Hud, Martin & Hünermund, Paul & Iferd, Younes & Köhler, Christian & Peters, Bettina & Schubert, Torben & Schwiebacher, Franz, 2015. "Innovationsverhalten der deutschen Wirtschaft: Indikatorenbericht zur Innovationserhebung 2014," The Annual German Innovation Survey, Key Figures Reports 111712, ZEW - Leibniz Centre for European Economic Research.
    2. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    3. Elias G. Carayannis & Elpida T. Samara & Yannis L. Bakouros, 2015. "Innovation and Entrepreneurship," Innovation, Technology, and Knowledge Management, Springer, edition 127, number 978-3-319-11242-8, March.
    4. Roland Helm & Armin Scholl & Laura Manthey & Michael Steiner, 2004. "Measuring customer preferences in new product development: comparing compositional and decompositional methods," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 1(1), pages 12-29.
    5. Holbrook, Morris B & Moore, William L, 1981. "Feature Interactions in Consumer Judgments of Verbal versus Pictorial Presentations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(1), pages 103-113, June.
    6. Elias G. Carayannis & Elpida T. Samara & Yannis L. Bakouros, 2015. "Introduction to Technological Innovation," Innovation, Technology, and Knowledge Management, in: Innovation and Entrepreneurship, edition 127, chapter 0, pages 1-26, Springer.
    7. Clas Neumann & Jayaram Srinivasan, 2009. "Product Development and Innovation," Springer Books, in: Managing Innovation from the Land of Ideas and Talent, chapter 5, pages 119-153, Springer.
    8. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    9. Elias G. Carayannis & Elpida T. Samara & Yannis L. Bakouros, 2015. "Introduction to Technological Entrepreneurship," Innovation, Technology, and Knowledge Management, in: Innovation and Entrepreneurship, edition 127, chapter 0, pages 137-157, Springer.
    10. Olivier Toubia & Martijn G. de Jong & Daniel Stieger & Johann Füller, 2012. "Measuring Consumer Preferences Using Conjoint Poker," Marketing Science, INFORMS, vol. 31(1), pages 138-156, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhongdong Yu & Wei Liu & Liming Chen & Serkan Eti & Hasan Dinçer & Serhat Yüksel, 2019. "The Effects of Electricity Production on Industrial Development and Sustainable Economic Growth: A VAR Analysis for BRICS Countries," Sustainability, MDPI, vol. 11(21), pages 1-13, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    2. Olivier Toubia & Duncan I. Simester & John R. Hauser & Ely Dahan, 2003. "Fast Polyhedral Adaptive Conjoint Estimation," Marketing Science, INFORMS, vol. 22(3), pages 273-303.
    3. Richard A. Wolfe & Daniel S. Putler, 2002. "How Tight Are the Ties that Bind Stakeholder Groups?," Organization Science, INFORMS, vol. 13(1), pages 64-80, February.
    4. Hein, Maren & Goeken, Nils & Kurz, Peter & Steiner, Winfried J., 2022. "Using Hierarchical Bayes draws for improving shares of choice predictions in conjoint simulations: A study based on conjoint choice data," European Journal of Operational Research, Elsevier, vol. 297(2), pages 630-651.
    5. Hafezi, Maryam & Zolfagharinia, Hossein, 2018. "Green product development and environmental performance: Investigating the role of government regulations," International Journal of Production Economics, Elsevier, vol. 204(C), pages 395-410.
    6. Alain De Beuckelaer & Jarl Kampen & J. Van Trijp, 2013. "An empirical assessment of the cross-national measurement validity of graded paired comparisons," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 1063-1076, February.
    7. Fagerstrøm, Asle & Eriksson, Niklas & Sigurdsson, Valdimar, 2020. "Investigating the impact of Internet of Things services from a smartphone app on grocery shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    8. Furrer, Olivier & Sudharshan, Devanathan & Tsiotsou, Rodoula H. & Liu, Ben S., 2016. "A framework for innovative service design," FSES Working Papers 476, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    9. Andrus Kotri, 2006. "Analyzing Customer Value Using Conjoint Analysis: The Example Of A Packaging Company," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 46, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    10. Fagerstrøm, Asle & Ghinea, Gheorghita, 2011. "On the motivating impact of price and online recommendations at the point of online purchase," International Journal of Information Management, Elsevier, vol. 31(2), pages 103-110.
    11. Artem Timoshenko & John R. Hauser, 2019. "Identifying Customer Needs from User-Generated Content," Marketing Science, INFORMS, vol. 38(1), pages 1-20, January.
    12. Kullak, Franziska S. & Baier, Daniel & Woratschek, Herbert, 2023. "How do customers meet their needs in in-store and online fashion shopping? A comparative study based on the jobs-to-be-done theory," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    13. Hasmat Malik & Asyraf Afthanorhan & Noor Aina Amirah & Nuzhat Fatema, 2021. "Machine Learning Approach for Targeting and Recommending a Product for Project Management," Mathematics, MDPI, vol. 9(16), pages 1-29, August.
    14. Winfried Steiner & Harald Hruschka, 2002. "A Probabilistic One-Step Approach to the Optimal Product Line Design Problem Using Conjoint and Cost Data," Review of Marketing Science Working Papers 1-4-1003, Berkeley Electronic Press.
    15. Meinel, Martin & Eismann, Tobias T. & Baccarella, Christian V. & Fixson, Sebastian K. & Voigt, Kai-Ingo, 2020. "Does applying design thinking result in better new product concepts than a traditional innovation approach? An experimental comparison study," European Management Journal, Elsevier, vol. 38(4), pages 661-671.
    16. Merja Halme & Kari Linden & Kimmo Kääriä, 2009. "Patients’ Preferences for Generic and Branded Over-the-Counter Medicines," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 2(4), pages 243-255, December.
    17. Li, Yan-Lai & Tang, Jia-Fu & Chin, Kwai-Sang & Jiang, Yu-Shi & Han, Yi & Pu, Yun, 2011. "Estimating the final priority ratings of engineering characteristics in mature-period product improvement by MDBA and AHP," International Journal of Production Economics, Elsevier, vol. 131(2), pages 575-586, June.
    18. Dufhues, T. & Buchenrieder, G., 2004. "Der Beitrag der Conjoint Analyse zur nachfrageorintierten Entwicklung des ländlichen Finanzsektors in Vietnam," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 39.
    19. Martinovici, A., 2019. "Revealing attention - how eye movements predict brand choice and moment of choice," Other publications TiSEM 7dca38a5-9f78-4aee-bd81-c, Tilburg University, School of Economics and Management.
    20. Meißner, Martin & Oppewal, Harmen & Huber, Joel, 2020. "Surprising adaptivity to set size changes in multi-attribute repeated choice tasks," Journal of Business Research, Elsevier, vol. 111(C), pages 163-175.

    More about this item

    Keywords

    Virtual reality; New product development; Conjoint analysis;
    All these keywords.

    JEL classification:

    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mgs:ijoied:v:4:y:2019:i:6:p:51-67. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bojan Obrenovic (email available below). General contact details of provider: https://researchleap.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.