Al Balushi, Y. (2020) Tone analysis in earnings conference calls and role of corporate governance, evidence from FTSE100 firms. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00092107

Davies, P. ORCID: https://orcid.org/0000-0002-8307-8107, Parry, G., Alves, K. and Ng, I. (2020) How additive manufacturing allows products to absorb variety in use: empirical evidence from the defensive industry. Production Planning and Control, 33 (2-3). pp. 175-192. ISSN 0953-7287 doi: https://doi.org/10.1080/09537287.2020.1810763

Fallon, P. J. (2020) Design and evaluation of an integrated change lifecycle model to explore multiple dimensions of successful information technology enabled public services initiatives. DBA thesis, University of Reading. doi: https://doi.org/10.48683/1926.00115582

Haralabopoulos, G., Anagnostopoulos, I. and McAuley, D. (2020) Ensemble deep learning for multilabel binary classification of user-generated content. Algorithms, 13 (4). 83. ISSN 1999-4893 doi: https://doi.org/10.3390/a13040083

Kayed, S. (2020) Disclosure Tone, Financial Performance and Earnings Management: Evidences from UK Conference Calls. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00094953

Li, E. (2020) The effect of culture and language on initial trust: a social semiotic view. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00102270

Li, Q. (2020) An abductive framework for interactive data visualisation development from organisational semiotics perspective. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00102277

Ozdemir, S., Kandemir, D., Eng, T.-Y. and Gupta, S. (2020) Vertical stakeholder collaborations for firm innovativeness in new product development: the moderating roles of legal bonds and operational linkages. Journal of Business Research, 119. pp. 172-184. ISSN 0148-2963 doi: https://doi.org/10.1016/j.jbusres.2019.08.014

Song, H. (M.) and Rimmel, G. ORCID: https://orcid.org/0000-0001-9055-950X (2020) Heterogeneity in CSR activities: is CSR investment monotonically associated with earnings quality? Accounting Forum, 45 (1). pp. 1-29. ISSN 1467-6303 doi: https://doi.org/10.1080/01559982.2020.1810428

Svenson, P., Haralabopoulos, G. and Torres Torres, M. (2020) Sepsis deterioration prediction using channelled long short-term memory networks. In: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, August 25–28, 2020, Minneapolis, MN, USA, pp. 359-370. doi: https://doi.org/10.1007/978-3-030-59137-3_32