IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v616y2023ics0378437123001760.html
   My bibliography  Save this article

What makes products trendy: Introducing an innovation adoption model

Author

Listed:
  • Chorowski, Michał
  • Nowak, Andrzej
  • Andersen, Jørgen Vitting

Abstract

Here we propose and study a new model of innovation adoption, IA. Our hypothesis is that individuals’ decisions regarding the purchase of a new product, are driven by the perceived type of adoption trend. Our assumptions split adopters into four groups, Innovators, Early Adopters, Majority, and Laggards, based on their innovativeness, and assign particular preferences for various adoption trends based on their psychological profile. We have built several mathematical models to test our hypothesis and generated forecasts for retail sales of products sold in a supermarket chain in Poland. The performance in sales forecasting of our IA model, points to evidence of customers’ behavior as described by our hypotheses, and the usefulness in quantifying psychological behavior in a general social context of innovation.

Suggested Citation

  • Chorowski, Michał & Nowak, Andrzej & Andersen, Jørgen Vitting, 2023. "What makes products trendy: Introducing an innovation adoption model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 616(C).
  • Handle: RePEc:eee:phsmap:v:616:y:2023:i:c:s0378437123001760
    DOI: 10.1016/j.physa.2023.128621
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437123001760
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2023.128621?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Christian Helmers & Mark Rogers, 2010. "Innovation and the Survival of New Firms in the UK," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 36(3), pages 227-248, May.
    2. Bettencourt, Luís M.A. & Cintrón-Arias, Ariel & Kaiser, David I. & Castillo-Chávez, Carlos, 2006. "The power of a good idea: Quantitative modeling of the spread of ideas from epidemiological models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 364(C), pages 513-536.
    3. Zarazua de Rubens, Gerardo, 2019. "Who will buy electric vehicles after early adopters? Using machine learning to identify the electric vehicle mainstream market," Energy, Elsevier, vol. 172(C), pages 243-254.
    4. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
    5. Palm, A., 2020. "Early adopters and their motives: Differences between earlier and later adopters of residential solar photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    6. Arkadiusz Kijek & Tomasz Kijek, 2010. "Modelling of innovation diffusion," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 20(3-4), pages 53-68.
    7. Christopher J. Easingwood & Vijay Mahajan & Eitan Muller, 1983. "A Nonuniform Influence Innovation Diffusion Model of New Product Acceptance," Marketing Science, INFORMS, vol. 2(3), pages 273-295.
    8. Andrzej Nowak & Wieslaw Bartkowski & Katarzyna Samson & Agnieszka Rychwalska & Marta Kacprzyk & Magda Roszczynska-Kurasinska & Magdalena Jagielska, 2013. "No Need For Speed: Modeling Trend Adoption In A Heterogeneous Population," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(04n05), pages 1-28.
    9. Yang, Jianmei & Yao, Canzhong & Ma, Weicheng & Chen, Guanrong, 2010. "A study of the spreading scheme for viral marketing based on a complex network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(4), pages 859-870.
    10. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    11. Elena Higueras-Castillo & Sebastian Molinillo & J. Andres Coca-Stefaniak & Francisco Liébana-Cabanillas, 2020. "Potential Early Adopters of Hybrid and Electric Vehicles in Spain—Towards a Customer Profile," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
    12. Catherine M. Banbury & Will Mitchell, 1995. "The effect of introducing important incremental innovations on market share and business survival," Strategic Management Journal, Wiley Blackwell, vol. 16(S1), pages 161-182.
    13. Hielke Buddelmeyer & Paul H. Jensen & Elizabeth Webster, 2010. "Innovation and the determinants of company survival," Oxford Economic Papers, Oxford University Press, vol. 62(2), pages 261-285, April.
    Full references (including those not matched with items on IDEAS)

    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. Pål Børing, 2015. "The effects of firms’ R&D and innovation activities on their survival: a competing risks analysis," Empirical Economics, Springer, vol. 49(3), pages 1045-1069, November.
    2. Guidi, Francesco & Solomon, Edna & Trushin, Eshref & Ugur, Mehmet, 2015. "Inverted-U relationship between innovation and survival: Evidence from firm-level UK data," EconStor Preprints 110896, ZBW - Leibniz Information Centre for Economics.
    3. Hyytinen, Ari & Pajarinen, Mika & Rouvinen, Petri, 2015. "Does innovativeness reduce startup survival rates?," Journal of Business Venturing, Elsevier, vol. 30(4), pages 564-581.
    4. Mingqian Zhang & Pierre Mohnen, 2022. "R&D, innovation and firm survival in Chinese manufacturing, 2000–2006," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 59-95, March.
    5. Marco Grazzi & Chiara Piccardo & Cecilia Vergari, 2022. "Turmoil over the crisis: innovation capabilities and firm exit," Small Business Economics, Springer, vol. 59(2), pages 537-564, August.
    6. Régis Chenavaz & Corina Paraschiv & Gabriel Turinici, 2017. "Dynamic Pricing of New Products in Competitive Markets: A Mean-Field Game Approach," Working Papers hal-01592958, HAL.
    7. Zhang, Tianyu & Dong, Peiwu & Zeng, Yongchao & Ju, Yanbing, 2022. "Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model," Journal of Business Research, Elsevier, vol. 139(C), pages 90-105.
    8. Ornella Wanda Maietta & Fernanda Mazzotta, 2018. "Firm Survival and Innovation: Knowledge Context Matters!," CSEF Working Papers 496, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    9. Constanza Fosco, 2012. "Spatial Difusion and Commuting Flows," Documentos de Trabajo en Economia y Ciencia Regional 30, Universidad Catolica del Norte, Chile, Department of Economics, revised Sep 2012.
    10. Usha Rao, K. & Kishore, V.V.N., 2009. "Wind power technology diffusion analysis in selected states of India," Renewable Energy, Elsevier, vol. 34(4), pages 983-988.
    11. Toka, Agorasti & Iakovou, Eleftherios & Vlachos, Dimitrios & Tsolakis, Naoum & Grigoriadou, Anastasia-Loukia, 2014. "Managing the diffusion of biomass in the residential energy sector: An illustrative real-world case study," Applied Energy, Elsevier, vol. 129(C), pages 56-69.
    12. Christos Genakos & Ioannis Kaplanis & Maria Theano Tagaraki & Aggelos Tsakanikas, 2023. "Firm Resilience and Growth during the Economics Crisis: lessons from the Greek depression," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 186, Hellenic Observatory, LSE.
    13. Zhang M. & Mohnen P., 2013. "Innovation and survival of new firms in Chinese manufacturing, 2000-2006," MERIT Working Papers 2013-057, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    14. Abedi, Vahideh Sadat, 2019. "Compartmental diffusion modeling: Describing customer heterogeneity & communication network to support decisions for new product introductions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    15. Masatoshi Kato & Koichiro Onishi & Yuji Honjo, 2022. "Does patenting always help new firm survival? Understanding heterogeneity among exit routes," Small Business Economics, Springer, vol. 59(2), pages 449-475, August.
    16. Xenikos, D.G. & Constantoudis, V., 2023. "Weibull dynamics and power-law diffusion of epidemics in small world 2D networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 617(C).
    17. Palmer, J. & Sorda, G. & Madlener, R., 2015. "Modeling the diffusion of residential photovoltaic systems in Italy: An agent-based simulation," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 106-131.
    18. Rixen, Martin & Weigand, Jürgen, 2014. "Agent-based simulation of policy induced diffusion of smart meters," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 153-167.
    19. Ugur, Mehment & Vivarelli, Marco, 2020. "The role of innovation in industrial dynamics and productivity growth: a survey of the literature," GLO Discussion Paper Series 648, Global Labor Organization (GLO).
    20. Pablo Marshall, 2000. "Difusion De Internet En Chile," Abante, Escuela de Administracion. Pontificia Universidad Católica de Chile., vol. 3(2), pages 143-163.

    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:eee:phsmap:v:616:y:2023:i:c:s0378437123001760. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.