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Chris Hand

Personal Details

First Name:Chris
Middle Name:
Last Name:Hand
Suffix:
RePEc Short-ID:pha119
http://www.kingston.ac.uk/staff/profile/dr-chris-hand-62/
Department of Strategy, Marketing and Innovation, Kingston Business School, Kingston Hill, Kingston upon Thames, Surrey, KT2 7LB,
Terminal Degree:2001 Economics and Finance Group; Portsmouth Business School; University of Portsmouth (from RePEc Genealogy)

Affiliation

Faculty of Business
Kingston University

Kingston-upon-Thames, United Kingdom
http://business.kingston.ac.uk/

: +44 (0)20 8547 2000

Kingston Hill, Kingston Upon Thames, Surrey, KT2 7LB
RePEc:edi:fbkinuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Collins, A. & Hand, C. & Snell, M.C., 2001. "What Makes a Blockbuster? Economic Analysis of Film Success in the United Kingdom," Papers 137, Portsmouth University - Department of Economics.
  2. Collins, A. & Hand, C., 1996. "Making a Crisis out of a Drama: Should we Continue Public Financial Support for the British Theatre?," Papers 78, Portsmouth University - Department of Economics.

Articles

  1. East, Robert & Uncles, Mark D. & Romaniuk, Jenni & Hand, Chris, 2014. "The decay of positive and negative word of mouth after product experience," Australasian marketing journal, Elsevier, vol. 22(4), pages 350-355.
  2. Chris Hand & Guy Judge, 2012. "Searching for the picture: forecasting UK cinema admissions using Google Trends data," Applied Economics Letters, Taylor & Francis Journals, vol. 19(11), pages 1051-1055, July.
  3. Chris Hand & Guy Judge, 2011. "How stable is the seasonal pattern in cinema admissions? Evidence from the UK," Applied Economics Letters, Taylor & Francis Journals, vol. 18(1), pages 81-85.
  4. Chris Hand, 2010. "Tom O’Malley and Janet Jones (Eds): The Peacock Committee and UK broadcasting policy," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(3), pages 241-243, August.
  5. Alan Collins & Chris Hand & Maggie Linnell, 2008. "Analyzing repeat consumption of identical cultural goods: some exploratory evidence from moviegoing," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(3), pages 187-199, September.
  6. Jones, D.F. & Collins, A. & Hand, C., 2007. "A classification model based on goal programming with non-standard preference functions with application to the prediction of cinema-going behaviour," European Journal of Operational Research, Elsevier, vol. 177(1), pages 515-524, February.
  7. Chris Hand, 2006. "History Matters: Modelling Path Dependence on a Spreadsheet," Computers in Higher Education Economics Review, Economics Network, University of Bristol, vol. 18(1), pages 19-24.
  8. Chris Hand, 2006. "A Concise Handbook of Movie Industry Economics," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 30(3), pages 239-241, December.
  9. Chris Hand, 2005. "Simple Cellular Automata on a Spreadsheet," Computers in Higher Education Economics Review, Economics Network, University of Bristol, vol. 17(1), pages 9-13.
  10. Alan Collins & Chris Hand & Andrew Ryder, 2005. "The lure of the multiplex? The interplay of time, distance, and cinema attendance," Environment and Planning A, Pion Ltd, London, vol. 37(3), pages 483-501, March.
  11. Alan Collins & Chris Hand, 2005. "Analyzing moviegoing demand: an individual-level cross-sectional approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 319-330.
  12. Alan Collins & Chris Hand & Martin C. Snell, 2002. "What makes a blockbuster? Economic analysis of film success in the United Kingdom," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 343-354.
  13. Chris Hand, 2002. "The Distribution and Predictability of Cinema Admissions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(1), pages 53-64, February.
  14. Chris Hand, 2001. "Increasing returns to information: further evidence from the UK film market," Applied Economics Letters, Taylor & Francis Journals, vol. 8(6), pages 419-421.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Collins, A. & Hand, C. & Snell, M.C., 2001. "What Makes a Blockbuster? Economic Analysis of Film Success in the United Kingdom," Papers 137, Portsmouth University - Department of Economics.

    Cited by:

    1. Jordi McKenzie, 2010. "How do theatrical box office revenues affect DVD retail sales? Australian empirical evidence," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(3), pages 159-179, August.
    2. Ana Suárez-Vázquez, 2011. "Critic power or star power? The influence of hallmarks of quality of motion pictures: an experimental approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(2), pages 119-135, May.
    3. Alan Collins & Chris Hand, 2005. "Analyzing moviegoing demand: an individual-level cross-sectional approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 319-330.
    4. Ana Suárez-Vázquez & José Quevedo, 2015. "Analyzing superstars’ power using support vector machines," Empirical Economics, Springer, vol. 49(4), pages 1521-1542, December.
    5. Randy Nelson & Robert Glotfelty, 2012. "Movie stars and box office revenues: an empirical analysis," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 141-166, May.
    6. Jordi McKenzie, 2010. "Do 'African American' films perform better or worse at the box office? An empirical analysis of motion picture revenues and profits," Applied Economics Letters, Taylor & Francis Journals, vol. 17(16), pages 1559-1564.
    7. Rustam Ibragimov & Johan Walden, 2010. "Optimal Bundling Strategies Under Heavy-Tailed Valuations," Management Science, INFORMS, vol. 56(11), pages 1963-1976, November.
    8. Jordi McKenzie, 2009. "Revealed word-of-mouth demand and adaptive supply: survival of motion pictures at the Australian box office," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(4), pages 279-299, November.
    9. C F Elliott & R Simmons, 2007. "Determinants of UK box office success: the impact of quality signals," Working Papers 584026, Lancaster University Management School, Economics Department.
    10. Allègre Hadida, 2010. "Commercial success and artistic recognition of motion picture projects," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(1), pages 45-80, February.
    11. Binken, J.L.G. & Stremersch, S., 2008. "The Effect of Superstar Software on Hardware Sales in System Markets," ERIM Report Series Research in Management ERS-2008-025-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    12. Caroline Elliott & Rob Simmons, 2008. "Determinants of UK Box Office Success: The Impact of Quality Signals," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(2), pages 93-111, September.
    13. Christoph Engel & Michael Kurschilgen, 2010. "Fairness Ex Ante & Ex Post – An Experimental Test of the German “Bestseller Paragraph”," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2010_29, Max Planck Institute for Research on Collective Goods, revised Nov 2010.
    14. Jehoshua Eliashberg & Anita Elberse & Mark A.A.M. Leenders, 2006. "The Motion Picture Industry: Critical Issues in Practice, Current Research, and New Research Directions," Marketing Science, INFORMS, vol. 25(6), pages 638-661, 11-12.
    15. Wen-jhan Jane & Wei-peng Chen & Yuan-lin Hsu, 2015. "The impact of deregulation on the movie box office after Taiwan’s entry into the WTO: the difference-in-differences estimation," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 289-308, December.
    16. Frederick Derrick & Nancy Williams & Charles Scott, 2014. "A two-stage proxy variable approach to estimating movie box office receipts," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(2), pages 173-189, May.
    17. Moez Hababou & Nawel Amrouche & Kamel Jedidi, 2016. "Measuring Economic Efficiency in the Motion Picture Industry: a Data Envelopment Analysis Approach," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(3), pages 144-158, December.
    18. Natalia Gmerek, 2015. "The determinants of Polish movies’ box office performance in Poland," Journal of Marketing and Consumer Behaviour in Emerging Markets, University of Warsaw, Faculty of Management, vol. 1(1), pages 15-35.
    19. Thorsten Hennig-Thurau & André Marchand & Barbara Hiller, 2012. "The relationship between reviewer judgments and motion picture success: re-analysis and extension," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(3), pages 249-283, August.

Articles

  1. Chris Hand & Guy Judge, 2012. "Searching for the picture: forecasting UK cinema admissions using Google Trends data," Applied Economics Letters, Taylor & Francis Journals, vol. 19(11), pages 1051-1055, July.

    Cited by:

    1. Cruz-Suarez, Ana & Prado-Román, Alberto & Prado-Román, Miguel, 2014. "Legitimidade cognitiva, acesso aos recursos e resultados organizacionais," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 54(5), September.
    2. Yang, Xin & Pan, Bing & Evans, James A. & Lv, Benfu, 2015. "Forecasting Chinese tourist volume with search engine data," Tourism Management, Elsevier, vol. 46(C), pages 386-397.
    3. Ateca-Amestoy, Victoria & Prieto-Rodriguez, Juan, 2013. "Forecasting accuracy of behavioural models for participation in the arts," European Journal of Operational Research, Elsevier, vol. 229(1), pages 124-131.
    4. Ikhoon, Jang & Young Chan, Choe, 2016. "Forecasting Agri-food Consumption Using the Keyword Volume Index from Search Engine Data," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 236124, Agricultural and Applied Economics Association.
    5. Wilson, Matthew & Yelowitz, Aaron, 2014. "Characteristics of Bitcoin Users: An Analysis of Google Search Data," MPRA Paper 59661, University Library of Munich, Germany.
    6. Stephen L. France & Yuying Shi, 2017. "Aggregating Google Trends: Multivariate Testing and Analysis," Papers 1712.03152, arXiv.org, revised Mar 2018.
    7. Marshall, Pablo & Dockendorff, Monika & Ibáñez, Soledad, 2013. "A forecasting system for movie attendance," Journal of Business Research, Elsevier, vol. 66(10), pages 1800-1806.
    8. Eksi, Ozan & Gurdal, Mehmet Y. & Orman, Cuneyt, 2017. "Fines versus prison for the issuance of bad checks: Evidence from a policy shift in Turkey," Journal of Economic Behavior & Organization, Elsevier, vol. 143(C), pages 9-27.

  2. Chris Hand & Guy Judge, 2011. "How stable is the seasonal pattern in cinema admissions? Evidence from the UK," Applied Economics Letters, Taylor & Francis Journals, vol. 18(1), pages 81-85.

    Cited by:

    1. Belleflamme, P. & Paolini, D., 2015. "Strategic Promotion and Release Decisions for Cultural Goods," CORE Discussion Papers 2015037, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  3. Alan Collins & Chris Hand & Maggie Linnell, 2008. "Analyzing repeat consumption of identical cultural goods: some exploratory evidence from moviegoing," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(3), pages 187-199, September.

    Cited by:

    1. Concetta Castiglione & Davide Infante, 2016. "Rational addiction and cultural goods: the case of the Italian theatregoer," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 40(2), pages 163-190, May.
    2. Juan Gabriel Brida & Chiara Dalle Nogare & Raffaele Scuderi, 2016. "Frequency of museum attendance: motivation matters," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 40(3), pages 261-283, August.

  4. Jones, D.F. & Collins, A. & Hand, C., 2007. "A classification model based on goal programming with non-standard preference functions with application to the prediction of cinema-going behaviour," European Journal of Operational Research, Elsevier, vol. 177(1), pages 515-524, February.

    Cited by:

    1. Ateca-Amestoy, Victoria & Prieto-Rodriguez, Juan, 2013. "Forecasting accuracy of behavioural models for participation in the arts," European Journal of Operational Research, Elsevier, vol. 229(1), pages 124-131.
    2. Cinzia Colapinto & Raja Jayaraman & Simone Marsiglio, 2017. "Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review," Annals of Operations Research, Springer, vol. 251(1), pages 7-40, April.
    3. Jones, Dylan & Jimenez, Mariano, 2013. "Incorporating additional meta-objectives into the extended lexicographic goal programming framework," European Journal of Operational Research, Elsevier, vol. 227(2), pages 343-349.
    4. Corne, David & Dhaenens, Clarisse & Jourdan, Laetitia, 2012. "Synergies between operations research and data mining: The emerging use of multi-objective approaches," European Journal of Operational Research, Elsevier, vol. 221(3), pages 469-479.
    5. Jones, Dylan, 2011. "A practical weight sensitivity algorithm for goal and multiple objective programming," European Journal of Operational Research, Elsevier, vol. 213(1), pages 238-245, August.

  5. Chris Hand, 2006. "History Matters: Modelling Path Dependence on a Spreadsheet," Computers in Higher Education Economics Review, Economics Network, University of Bristol, vol. 18(1), pages 19-24.

    Cited by:

    1. Tanner, Andrew M. & Johnston, Alison L., 2017. "The Impact of Rural Electric Access on Deforestation Rates," World Development, Elsevier, vol. 94(C), pages 174-185.

  6. Chris Hand, 2005. "Simple Cellular Automata on a Spreadsheet," Computers in Higher Education Economics Review, Economics Network, University of Bristol, vol. 17(1), pages 9-13.

    Cited by:

    1. Caroline Bayr & Miriam Steurer & Rose-Gerd Koboltschnig, 2013. "Scenario Planning for Cities using Cellular Automata Models: A Case Study," Graz Economics Papers 2013-06, University of Graz, Department of Economics.

  7. Alan Collins & Chris Hand & Andrew Ryder, 2005. "The lure of the multiplex? The interplay of time, distance, and cinema attendance," Environment and Planning A, Pion Ltd, London, vol. 37(3), pages 483-501, March.

    Cited by:

    1. Ana Suárez-Vázquez, 2011. "Critic power or star power? The influence of hallmarks of quality of motion pictures: an experimental approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(2), pages 119-135, May.
    2. Alan Collins & Antonello E. Scorcu & Roberto Zanola, 2009. "Distribution conventionality in the movie sector: an econometric analysis of cinema supply," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 517-527.
    3. Arie Romein & Kees Maat, 2013. "Spatial Organisation of Consumer Services in the Polycentric Urban Context: A Travel Behaviour Approach of Cinema-Going in the City-Region of Rotterdam," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 104(4), pages 491-509, September.
    4. Ateca-Amestoy, Victoria & Prieto-Rodriguez, Juan, 2013. "Forecasting accuracy of behavioural models for participation in the arts," European Journal of Operational Research, Elsevier, vol. 229(1), pages 124-131.
    5. Sheresheva Marina & Alexander Luzhin & Julia Trifonova, 2015. "Cinema chains in Russia," Working Papers 0021, Moscow State University, Faculty of Economics.

  8. Alan Collins & Chris Hand, 2005. "Analyzing moviegoing demand: an individual-level cross-sectional approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 319-330.

    Cited by:

    1. Ana Suárez-Vázquez, 2011. "Critic power or star power? The influence of hallmarks of quality of motion pictures: an experimental approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(2), pages 119-135, May.
    2. Alan Collins & Chris Hand & Maggie Linnell, 2008. "Analyzing repeat consumption of identical cultural goods: some exploratory evidence from moviegoing," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(3), pages 187-199, September.
    3. Mark Fox & Grant Black, 2011. "The Rise and Decline of Drive-in Cinemas in the United States," Chapters,in: Handbook on the Economics of Leisure, chapter 14 Edward Elgar Publishing.
    4. Ricard Gil & Fernanda Gutierrez-Navratil, 2017. "Does Television Entry Decrease The Number Of Movie Theaters?," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 736-756, April.
    5. M. Rimscha, 2013. "It’s not the economy, stupid! External effects on the supply and demand of cinema entertainment," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(4), pages 433-455, November.
    6. Ana Suarez-Vazquez & Elena Montañés-Roces, 2017. "Superstars Power, Mining the Paths to Stars’ Persuasion," Computational Economics, Springer;Society for Computational Economics, vol. 49(1), pages 67-81, January.

  9. Alan Collins & Chris Hand & Martin C. Snell, 2002. "What makes a blockbuster? Economic analysis of film success in the United Kingdom," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 343-354.
    See citations under working paper version above.
  10. Chris Hand, 2002. "The Distribution and Predictability of Cinema Admissions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(1), pages 53-64, February.

    Cited by:

    1. Alexis Dantec & Florence Levy, 2005. "Stars et box office : un état des approches théoriques et empiriques," Documents de Travail de l'OFCE 2005-13, Observatoire Francais des Conjonctures Economiques (OFCE).
    2. W. Walls, 2005. "Modeling Movie Success When ‘Nobody Knows Anything’: Conditional Stable-Distribution Analysis Of Film Returns," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(3), pages 177-190, August.
    3. Victor Fernandez-Blanco & Luis Orea & Juan Prieto-Rodriguez, 2013. "Endogeneity and measurement errors when estimating demand functions with average prices: an example from the movie market," Empirical Economics, Springer, vol. 44(3), pages 1477-1496, June.
    4. Dewenter, Ralf & Westermann, Michael, 2003. "Cinema demand in Germany," IBES Diskussionsbeiträge 125, University of Duisburg-Essen, Institute of Business and Economic Studie (IBES).
    5. Zanola, Roberto, 2007. "Major influences on circus attendance," POLIS Working Papers 89, Institute of Public Policy and Public Choice - POLIS.
    6. M. Rimscha, 2013. "It’s not the economy, stupid! External effects on the supply and demand of cinema entertainment," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(4), pages 433-455, November.
    7. Juan Prieto-Rodriguez & Fernanda Gutierrez-Navratil & Victoria Ateca-Amestoy, 2015. "Theatre allocation as a distributor’s strategic variable over movie runs," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 65-83, February.
    8. Kaimann, Daniel & Pannicke, Julia, 2015. "Movie success in a genre specific contest: Evidence from the US film industry," Ilmenau Economics Discussion Papers 98, Ilmenau University of Technology, Institute of Economics.
    9. Marshall, Pablo & Dockendorff, Monika & Ibáñez, Soledad, 2013. "A forecasting system for movie attendance," Journal of Business Research, Elsevier, vol. 66(10), pages 1800-1806.

  11. Chris Hand, 2001. "Increasing returns to information: further evidence from the UK film market," Applied Economics Letters, Taylor & Francis Journals, vol. 8(6), pages 419-421.

    Cited by:

    1. Jordi McKenzie, 2010. "How do theatrical box office revenues affect DVD retail sales? Australian empirical evidence," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(3), pages 159-179, August.
    2. David Giles, 2007. "Increasing returns to information in the US popular music industry," Applied Economics Letters, Taylor & Francis Journals, vol. 14(5), pages 327-331.
    3. Jordi McKenzie, 2010. "Do 'African American' films perform better or worse at the box office? An empirical analysis of motion picture revenues and profits," Applied Economics Letters, Taylor & Francis Journals, vol. 17(16), pages 1559-1564.
    4. Jordi McKenzie, 2009. "Revealed word-of-mouth demand and adaptive supply: survival of motion pictures at the Australian box office," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(4), pages 279-299, November.
    5. W. D. Walls, "undated". "The market for motion pictures in Thailand: Rank, revenue, and survival at the box office," Working Papers 2014-54, Department of Economics, University of Calgary, revised 23 Sep 2014.
    6. W. Walls, 2010. "Superstars and heavy tails in recorded entertainment: empirical analysis of the market for DVDs," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(4), pages 261-279, November.
    7. JORDI McKENZIE, 2009. "Illegal Music Downloading And Its Impact On Legitimate Sales: Australian Empirical Evidence," Australian Economic Papers, Wiley Blackwell, vol. 48(4), pages 296-307, December.
    8. M. Rimscha, 2013. "It’s not the economy, stupid! External effects on the supply and demand of cinema entertainment," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(4), pages 433-455, November.
    9. Arthur Vany & W. Walls, 2007. "Estimating the Effects of Movie Piracy on Box-office Revenue," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 30(4), pages 291-301, June.
    10. Wen-jhan Jane & Wei-peng Chen & Yuan-lin Hsu, 2015. "The impact of deregulation on the movie box office after Taiwan’s entry into the WTO: the difference-in-differences estimation," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 289-308, December.
    11. Richard S.J. Tol, 2007. "The Matthew Effect Defined And Tested For The 100 Most Prolific Economists," Working Papers FNU-143, Research unit Sustainability and Global Change, Hamburg University, revised Aug 2007.
    12. Natalia Gmerek, 2015. "The determinants of Polish movies’ box office performance in Poland," Journal of Marketing and Consumer Behaviour in Emerging Markets, University of Warsaw, Faculty of Management, vol. 1(1), pages 15-35.

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