| Philanthropic giving, market-based performance and institutional ownership: Evidence from an emerging economy S Bose, J Podder, K Biswas The British Accounting Review 49 (4), 429-444, 2017 | 75 | 2017 |
| Algorithmic bias in machine learning-based marketing models S Akter, YK Dwivedi, S Sajib, K Biswas, RJ Bandara, K Michael Journal of Business Research 144, 201-216, 2022 | 74 | 2022 |
| How talent capability can shape service analytics capability in the big data environment? S Akter, S Fosso Wamba, M Barrett, K Biswas Journal of Strategic Marketing, 1-19, 2018 | 39 | 2018 |
| Addressing algorithmic bias in AI-driven customer management S Akter, YK Dwivedi, K Biswas, K Michael, RJ Bandara, S Sajib Journal of Global Information Management (JGIM) 29 (6), 1-27, 2021 | 35 | 2021 |
| A mediated model of the effects of human resource management policies and practices on the intention to promote women: An investigation of the theory of planned behaviour K Biswas, B Boyle, R Mitchell, G Casimir The International Journal of Human Resource Management 28 (9), 1309-1331, 2017 | 24 | 2017 |
| Determinants of pro-environmental behaviours–a cross country study of would-be managers A Bhattacharyya, K Biswas, A Moyeen Australasian Accounting, Business and Finance Journal 14 (2), 51-71, 2020 | 23 | 2020 |
| Impacts of supportive HR practices and organisational climate on the attitudes of HR managers towards gender diversity–a mediated model approach K Biswas, B Boyle, S Bhardwaj Evidence-based HRM: a Global Forum for Empirical Scholarship 9 (1), 18-33, 2021 | 22 | 2021 |
| Bangladesh HR professionals’ competencies: Impact on firm performance and moderating effects of organisation life cycle V Prikshat, K Biswas, A Nankervis, MR Hoque Evidence-based HRM: a Global Forum for Empirical Scholarship 6 (2), 2018 | 18 | 2018 |
| International experience, attitudes toward women and the adoption of supportive HR practices K Biswas, B Boyle, R Mitchell Asia Pacific Journal of Human Resources 58 (1), 66-84, 2020 | 8 | 2020 |
| Core attributes of pro-environmental managers and dynamics of environmental management A Bhattacharyya, K Biswas Australian Journal of Environmental Education 37 (1), 69-84, 2021 | 7 | 2021 |
| Mastering digital transformation in workforce management S Akter, K Biswas, D Vrontis, SCL Cooper, SY Tarba Production Planning & Control, 1-8, 2023 | 2 | 2023 |
| Determinants and consequences of student satisfaction in Australian Universities: Evidence from QILT Surveys K Biswas, S Bose, M Chang, S Shams Accounting & Finance 63 (2), 1821-1850, 2023 | 2 | 2023 |
| Overcoming the challenge of “fuzzy” assessment and feedback B Boyle, R Mitchell, A McDonnell, N Sharma, K Biswas, S Nicholas Education+ Training 62 (5), 505-519, 2020 | 2 | 2020 |
| How HR analytics can leverage big data to minimise employees' exploitation and promote their welfare for sustainable competitive advantage K Biswas, S Bhardwaj, S Zaman Handbook of Big Data Research Methods, 179-194, 2023 | 1 | 2023 |
| Managerial religiosity, attitudes towards women as managers and supportive HR practices KK Biswas, B Boyle, S Bhardwaj, P Patel International Journal of Emerging Markets 19 (1), 154-169, 2024 | | 2024 |
| Enjoying Rivals’ Pain: A Conceptual Framework of Strategic Leaders’ Schadenfreude S Dissanayake, M Fernando, KK Biswas Academy of Management Proceedings 2023 (1), 12769, 2023 | | 2023 |
| Does the religiosity of managers influence their attitudes towards women as managers?–An examination of a mediated model in Bangladesh K Biswas, P Patel 30th Australia and New Zealand Academy of Management (ANZAM) Conference, 2016 | | 2016 |
| An examination of the mediated model of theory of planned behaviour to understand gender equity initiatives of HR managers in Bangladesh K Biswas, P Patel 30th Australia and New Zealand Academy of Management (ANZAM) Conference, 2016 | | 2016 |
| Predicting the intention of top managers in Bangladesh to appoint women to senior management positions: an examination and extension of the theory of planned behaviour KK Biswas | | 2013 |
| How hr analytics can leverage big data to minimise employees' exploitation and promote their welfare for sustainable competitive advantage | | |
Brendan BoyleUniversity of NewcastleVerified email at newcastle.edu.au
