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Harleen Kaur

Personal Details

First Name:Harleen
Middle Name:
Last Name:Kaur
Suffix:
RePEc Short-ID:pka1386

Affiliation

Department of Accountancy, Economics and Finance
Heriot-Watt University

Edinburgh, United Kingdom
https://www.hw.ac.uk/uk/schools/social-sciences/accountancy-economics-finance.htm
RePEc:edi:dehwuuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Books

Working papers

  1. Adam Marszk & Ewa Lechman & Harleen Kaur, 2016. "Financial Markets Diffusion Patterns. The Case Of Mexican Investment Funds," GUT FME Working Paper Series A 34, Faculty of Management and Economics, Gdansk University of Technology.
  2. Ewa Lechman & Harleen Kaur, 2016. "Social Development And Ict Adoption. Developing World Perspective," GUT FME Working Paper Series A 33, Faculty of Management and Economics, Gdansk University of Technology.

Articles

  1. Baboota, Rahul & Kaur, Harleen, 2019. "Predictive analysis and modelling football results using machine learning approach for English Premier League," International Journal of Forecasting, Elsevier, vol. 35(2), pages 741-755.
  2. Adam Marszk & Ewa Lechman & Harleen Kaur, 2017. "Financial Markets Diffusion Patterns. The Case Of Mexican Investment Funds," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 12(1), pages 83-100, March.
  3. Ritu Chauhan & Harleen Kaur, 2017. "A feature-based selection technique for reduction of large scale data," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 9(3), pages 207-221.
  4. Harleen Kaur & Ajay Pandit, 2015. "Modelling Consumer Evaluation of Brand Extensions: Empirical Evidence from India," Vision, , vol. 19(1), pages 37-48, March.

Books

  1. Harleen Kaur & Ewa Lechman & Adam Marszk (ed.), 2017. "Catalyzing Development through ICT Adoption," Springer Books, Springer, number 978-3-319-56523-1, December.

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. Adam Marszk & Ewa Lechman & Harleen Kaur, 2016. "Financial Markets Diffusion Patterns. The Case Of Mexican Investment Funds," GUT FME Working Paper Series A 34, Faculty of Management and Economics, Gdansk University of Technology.

    Cited by:

    1. Adam Marszk & Ewa Lechman & Harleen Kaur, 2016. "Financial Markets Diffusion Patterns. The Case Of Mexican Investment Funds," GUT FME Working Paper Series A 34, Faculty of Management and Economics, Gdansk University of Technology.

  2. Ewa Lechman & Harleen Kaur, 2016. "Social Development And Ict Adoption. Developing World Perspective," GUT FME Working Paper Series A 33, Faculty of Management and Economics, Gdansk University of Technology.

    Cited by:

    1. Bryan Coyne & Eleanor Denny, 2021. "Applying a Model of Technology Diffusion to Quantify the Potential Benefit of Improved Energy Efficiency in Data Centres," Energies, MDPI, vol. 14(22), pages 1-18, November.

Articles

  1. Baboota, Rahul & Kaur, Harleen, 2019. "Predictive analysis and modelling football results using machine learning approach for English Premier League," International Journal of Forecasting, Elsevier, vol. 35(2), pages 741-755.

    Cited by:

    1. Green, Lawrence & Sung, Ming-Chien & Ma, Tiejun & Johnson, Johnnie E. V., 2019. "To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market," European Journal of Operational Research, Elsevier, vol. 278(1), pages 226-239.
    2. Galli, L. & Galvan, G. & Levato, T. & Liti, C. & Piccialli, V. & Sciandrone, M., 2021. "Football: Discovering elapsing-time bias in the science of success," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    3. Maurizio Carpita & Enrico Ciavolino & Paola Pasca, 2021. "Players’ Role-Based Performance Composite Indicators of Soccer Teams: A Statistical Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 815-830, August.
    4. Hassanniakalager, Arman & Sermpinis, Georgios & Stasinakis, Charalampos & Verousis, Thanos, 2020. "A conditional fuzzy inference approach in forecasting," European Journal of Operational Research, Elsevier, vol. 283(1), pages 196-216.
    5. Fry, John & Serbera, Jean-Philippe & Wilson, Rob, 2021. "Managing performance expectations in association football," Journal of Business Research, Elsevier, vol. 135(C), pages 445-453.
    6. Christoph Schlembach & Sascha L. Schmidt & Dominik Schreyer & Linus Wunderlich, 2020. "Forecasting the Olympic medal distribution during a pandemic: a socio-economic machine learning model," Papers 2012.04378, arXiv.org, revised Jun 2021.
    7. Daniel Goller & Michael C. Knaus & Michael Lechner & Gabriel Okasa, 2021. "Predicting match outcomes in football by an Ordered Forest estimator," Chapters, in: Ruud H. Koning & Stefan Kesenne (ed.), A Modern Guide to Sports Economics, chapter 22, pages 335-355, Edward Elgar Publishing.
    8. Wheatcroft Edward, 2021. "Evaluating probabilistic forecasts of football matches: the case against the ranked probability score," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(4), pages 273-287, December.
    9. Chunyang Huang & Shaoliang Zhang, 2023. "Explainable artificial intelligence model for identifying Market Value in Professional Soccer Players," Papers 2311.04599, arXiv.org, revised Nov 2023.
    10. Harleen Kaur & Shafqat Ul Ahsaan & Bhavya Alankar & Victor Chang, 2021. "A Proposed Sentiment Analysis Deep Learning Algorithm for Analyzing COVID-19 Tweets," Information Systems Frontiers, Springer, vol. 23(6), pages 1417-1429, December.
    11. Wheatcroft, Edward, 2021. "Evaluating probabilistic forecasts of football matches: the case against the ranked probability score," LSE Research Online Documents on Economics 111494, London School of Economics and Political Science, LSE Library.
    12. Federico Fioravanti & Fernando Delbianco & Fernando Tohmé, 2023. "The relative importance of ability, luck and motivation in team sports: a Bayesian model of performance in the English Rugby Premiership," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 715-731, September.
    13. Schlembach, Christoph & Schmidt, Sascha L. & Schreyer, Dominik & Wunderlich, Linus, 2022. "Forecasting the Olympic medal distribution – A socioeconomic machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    14. da Costa, Igor Barbosa & Marinho, Leandro Balby & Pires, Carlos Eduardo Santos, 2022. "Forecasting football results and exploiting betting markets: The case of “both teams to score”," International Journal of Forecasting, Elsevier, vol. 38(3), pages 895-909.
    15. Butler, David & Butler, Robert & Eakins, John, 2021. "Expert performance and crowd wisdom: Evidence from English Premier League predictions," European Journal of Operational Research, Elsevier, vol. 288(1), pages 170-182.
    16. Koopman, Siem Jan & Lit, Rutger, 2019. "Forecasting football match results in national league competitions using score-driven time series models," International Journal of Forecasting, Elsevier, vol. 35(2), pages 797-809.

  2. Adam Marszk & Ewa Lechman & Harleen Kaur, 2017. "Financial Markets Diffusion Patterns. The Case Of Mexican Investment Funds," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 12(1), pages 83-100, March.
    See citations under working paper version above.
  3. Harleen Kaur & Ajay Pandit, 2015. "Modelling Consumer Evaluation of Brand Extensions: Empirical Evidence from India," Vision, , vol. 19(1), pages 37-48, March.

    Cited by:

    1. Richa Joshi & Rajan Yadav, 2018. "An Integrated SEM Neural Network Approach to Study Effectiveness of Brand Extension in Indian FMCG Industry," Business Perspectives and Research, , vol. 6(2), pages 113-128, July.
    2. Richa Joshi & Rajan Yadav, 2017. "Evaluating the Feedback Effects of Brand Extension on Parent Brand Equity: A Study on Indian FMCG Industry," Vision, , vol. 21(3), pages 305-313, September.

Books

  1. Harleen Kaur & Ewa Lechman & Adam Marszk (ed.), 2017. "Catalyzing Development through ICT Adoption," Springer Books, Springer, number 978-3-319-56523-1, December.

    Cited by:

    1. Kyunghun Min & Moonyoung Yoon & Katsunori Furuya, 2019. "A Comparison of a Smart City’s Trends in Urban Planning before and after 2016 through Keyword Network Analysis," Sustainability, MDPI, vol. 11(11), pages 1-25, June.
    2. Baboota, Rahul & Kaur, Harleen, 2019. "Predictive analysis and modelling football results using machine learning approach for English Premier League," International Journal of Forecasting, Elsevier, vol. 35(2), pages 741-755.
    3. Jeremiah O. Ejemeyovwi & Evans S. Osabuohien & Olawale D. Johnson & Ebenezer I. K. Bowale, 2019. "Internet usage, innovation and human development nexus in Africa: the case of ECOWAS," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-16, December.
    4. Ibukun Beecroft & Evans S. Osabuohien & Uchenna R. Efobi & Isaiah Olurinola & Romanus A. Osabohien, 2019. "Manufacturing Export and ICT Infrastructure in West Africa: Investigating the Roles of Economic and Political Institutions," Working Papers of the African Governance and Development Institute. 19/098, African Governance and Development Institute..
    5. Nkoumou Ngoa, Gaston Brice & Song, Jacques Simon, 2021. "Female participation in African labor markets: The role of information and communication technologies," Telecommunications Policy, Elsevier, vol. 45(9).
    6. Voxi Heinrich Amavilah & Antonio Rodríguez Andrés, 2024. "Knowledge Economy and the Economic Performance of African Countries: A Seemingly Unrelated and Recursive Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 110-143, March.
    7. Antonio Rodríguez Andrés & Abraham Otero & Voxi Heinrich Amavilah, 2022. "Knowledge economy classification in African countries: A model-based clustering approach," Information Technology for Development, Taylor & Francis Journals, vol. 28(2), pages 372-396, April.
    8. Beáta Gavurová & Antonio José Balloni & Miriama Tarhaničová & Viliam Kováč, 2018. "Information and Communication Technology in the Role of Information System of Healthcare Facility in the Slovak Republic," Economies, MDPI, vol. 6(3), pages 1-15, August.
    9. Monica Răileanu Szeles & Mihaela Simionescu, 2020. "Regional Patterns and Drivers of the EU Digital Economy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(1), pages 95-119, July.
    10. Muhammad Mofizur Rahman, 2020. "Impact of digital technology in higher education: Perspective from Bangladesh," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 9(5), pages 318-325, September.
    11. Monica RĂILEANU SZELES & Carmen ANTON & Mirela BABA & Steliana BUSUIOCEANU & Adriana LITRĂ & Titus SUCIU, 2019. "Explaining The EU Regional Economic Growth upon Regional- and Country- Level Achievements in Education," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 143-157, March.
    12. Donou-Adonsou, Ficawoyi, 2019. "Technology, education, and economic growth in Sub-Saharan Africa," Telecommunications Policy, Elsevier, vol. 43(4), pages 353-360.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ICT: Information and Communication Technologies (2) 2016-02-23 2016-06-18. Author is listed
  2. NEP-CSE: Economics of Strategic Management (1) 2016-06-18. Author is listed
  3. NEP-FMK: Financial Markets (1) 2016-06-25. Author is listed
  4. NEP-INO: Innovation (1) 2016-06-25. Author is listed
  5. NEP-NET: Network Economics (1) 2016-06-25. Author is listed

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