IDEAS home Printed from https://ideas.repec.org/a/bla/acctfi/v61y2021i4p5177-5197.html
   My bibliography  Save this article

A visualisation approach for pitching research

Author

Listed:
  • Robert W. Faff
  • Sebastian Kernbach

Abstract

Based on a simple template tool, Faff’s ‘pitching’ framework provides a succinct and methodical approach to conveying a new research proposal to an academic expert. Some potential users are discouraged by a mistaken belief that it is just a ‘form‐filling’ exercise. We argue that one fruitful way to make the proposed ‘pitching’ process more inviting, support researchers' thinking process and enable a fruitful communication with others is to invoke a visualisation strategy. Accordingly, we propose a visualisation enhancement through visual templates with a particular focus on a ‘canvas’ technique – which we label the ‘Pitching Research Canvas’.

Suggested Citation

  • Robert W. Faff & Sebastian Kernbach, 2021. "A visualisation approach for pitching research," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(4), pages 5177-5197, December.
    • Handle: RePEc:bla:acctfi:v:61:y:2021:i:4:p:5177-5197
    DOI: 10.1111/acfi.12753
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/acfi.12753
    Download Restriction: no
    File URL: https://libkey.io/10.1111/acfi.12753?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. Robert W. Faff & Tom Smith, 2015. "A simple template for pitching research," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 55(2), pages 311-336, June.
    2. Renate E. Meyer & Dennis Jancsary & Markus Höllerer & Eva Boxenbaum, 2018. "The role of verbal and visual text in the process of institutionalization," Post-Print hal-01535194, HAL.
    3. Robert Faff & Steven Cahan, 2013. "Mickey Mouse and the IDioT principle for assessing research contribution: discussion of ‘Is the relationship between investment and conditional cash flow volatility ambiguous, asymmetric or both?’," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 53(4), pages 949-960, December.
    4. Steven J. Luck & Edward K. Vogel, 1997. "The capacity of visual working memory for features and conjunctions," Nature, Nature, vol. 390(6657), pages 279-281, November.
    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. Gill, Chelsea & Mehrotra, Vishal & Moses, Olayinka & Bui, Binh, 2023. "The impact of the pitching research framework on AFAANZ grant applications," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).

    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. Igor S. Utochkin & Vladislav A. Khvostov & Yulia M. Stakina, 2017. "Ensemble-Based Segmentation in the Perception of Multiple Feature Conjunctions," HSE Working papers WP BRP 78/PSY/2017, National Research University Higher School of Economics.
    2. Dang, Man & Henry, Darren, 2016. "Partial-control versus full-control acquisitions: Does target corporate governance matter? Evidence from eight East and Southeast Asian countries," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 251-265.
    3. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2017. "Research in finance: A review of influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 188-199.
    4. Jastrzębski, Jan & Ciechanowska, Iwona & Chuderski, Adam, 2018. "The strong link between fluid intelligence and working memory cannot be explained away by strategy use," Intelligence, Elsevier, vol. 66(C), pages 44-53.
    5. D. Alexander Varakin & Jamie Hale, 2014. "Intentional Memory Instructions Direct Attention But Do Not Enhance Visual Memory," SAGE Open, , vol. 4(4), pages 21582440145, October.
    6. Sumit Lodhia, 2020. "Pitching research: ‘Qualitative cousins’, the ‘extended family’ and ‘living harmoniously’," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 2879-2887, September.
    7. Aki Kondo & Jun Saiki, 2012. "Feature-Specific Encoding Flexibility in Visual Working Memory," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-8, December.
    8. Hongwei Tan & Sebastiaan van Dijken, 2023. "Dynamic machine vision with retinomorphic photomemristor-reservoir computing," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    9. Nadarajah, Sivathaasan & Ali, Searat & Liu, Benjamin & Huang, Allen, 2018. "Stock liquidity, corporate governance and leverage: New panel evidence," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 216-234.
    10. Yuri A. Markov & Natalia A. Tiurina & Igor S. Utochkin, 2018. "Different features are stored independently in visual working memory but mediated by object-based representations," HSE Working papers WP BRP 101/PSY/2018, National Research University Higher School of Economics.
    11. Haggar Cohen-Dallal & Isaac Fradkin & Yoni Pertzov, 2018. "Are stronger memories forgotten more slowly? No evidence that memory strength influences the rate of forgetting," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-18, July.
    12. Yen Nee Teo & Kun Hing Yong, 2023. "A Reverse-Engineered Pitch on The Scorching Truth: Investigating the Impact of Heatwaves on Selangor’s Elderly Hospitalizations," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 22(4), pages 755-762, December.
    13. Robert Faff & Tim Kastelle & Micheal Axelsen & Mark Brosnan & Rebecca Michalak & Kathleen Walsh, 2021. "Pitching research for engagement and impact: a simple tool and illustrative examples," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3329-3383, June.
    14. Tullo, Domenico & Faubert, Jocelyn & Bertone, Armando, 2018. "The characterization of attention resource capacity and its relationship with fluid reasoning intelligence: A multiple object tracking study," Intelligence, Elsevier, vol. 69(C), pages 158-168.
    15. Loic Matthey & Paul M Bays & Peter Dayan, 2015. "A Probabilistic Palimpsest Model of Visual Short-term Memory," PLOS Computational Biology, Public Library of Science, vol. 11(1), pages 1-34, January.
    16. Hossein Rad, 2016. "Pairs Trading and Market Efficiency Using an Adaptive Market Hypothesis Framework: A Pitch," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 15(1), pages 178-185, March.
    17. Jeanne Hagenbach & Rachel Kranton, 2023. "Competition, Cooperation, and Motivated Social Perceptions," SciencePo Working papers Main hal-03792554, HAL.
    18. Ali, Searat & Liu, Benjamin & Su, Jen Je, 2017. "Corporate governance and stock liquidity dimensions: Panel evidence from pure order-driven Australian market," International Review of Economics & Finance, Elsevier, vol. 50(C), pages 275-304.
    19. Cornwell, Nikki & Bilson, Christopher & Gepp, Adrian & Stern, Steven & Vanstone, Bruce J., 2023. "Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered report," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    20. Jifan Zhou & Jun Yin & Tong Chen & Xiaowei Ding & Zaifeng Gao & Mowei Shen, 2011. "Visual Working Memory Capacity Does Not Modulate the Feature-Based Information Filtering in Visual Working Memory," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-10, September.

    More about this item

    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:bla:acctfi:v:61:y:2021:i:4:p:5177-5197. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/aaanzea.html .

    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.