|
2023 Conference Publication Trending topics and stale subjects: detecting fashion in information systems researchUpreti, Raj Upreti, Wang, Ping, Akhlaghpour, Saeed, Karanasios, Stan and Burton-Jones, Andrew (2023). Trending topics and stale subjects: detecting fashion in information systems research. Australasian Conference on Information Systems (ACIS), Wellington, New Zealand, 5-8 December 2023. Dunedin, New Zealand: Association for Information Systems. |
|
2023 Conference Publication When is a goal a goal? Addressing equivocality with technologyKaranasios, Stan, Upreti, Bikesh and Iannacci, Federico (2023). When is a goal a goal? Addressing equivocality with technology. ECIS 2023 Research-in-Progress, Kristiansand, Norway, 11-16 June 2023. |
|
2023 Journal Article FinChain: Adaptation of Blockchain Technology in Finance and Business-An Ethical Analysis of Applications, Challenges, Issues and SolutionsKshetri, Naresh, Miller, Keith, Banerjee, Gaurango and Upreti, Bikesh Raj (2023). FinChain: Adaptation of Blockchain Technology in Finance and Business-An Ethical Analysis of Applications, Challenges, Issues and Solutions. International Journal of Emerging and Disruptive Innovation in Education: VISIONARIUM, 1-20. |
|
2022 Other Outputs VAR and peace? Why tech-assisted refereeing won’t do away with disputed decisions at the World CupKaranasios, Stan, Upreti, Bikesh and Iannacci, Federico (2022, 01 01). VAR and peace? Why tech-assisted refereeing won’t do away with disputed decisions at the World Cup The Conversation |
|
2021 Journal Article Big data for big insights: quantifying the adverse effect of air pollution on the tourism industry in ChinaFan, Wenjie, Li, Yijing, Upreti, Bikesh Raj, Liu, Yong, Li, Hongxiu, Fan, Wei and Lim, Eric T. K. (2021). Big data for big insights: quantifying the adverse effect of air pollution on the tourism industry in China. Journal of Travel Research, 61 (8), 1947-1966. doi: 10.1177/00472875211047272 |
|
2021 Journal Article Is this company a lead customer? Estimating stages of B2B buying journeyMarvasti, Neda B., Huhtala, Juho-Petteri, Yousefi, Zeinab R., Vaniala, Iiro, Upreti, Bikesh, Malo, Pekka, Kaski, Samuel and Tikkanen, Henrikki (2021). Is this company a lead customer? Estimating stages of B2B buying journey. Industrial Marketing Management, 97, 126-133. doi: 10.1016/j.indmarman.2021.06.003 |
|
2021 Journal Article Online content match-making in B2B markets: application of neural content modelingUpreti, Bikesh Raj, Huhtala, Juho-Petteri, Tikkanen, Henrikki, Malo, Pekka, Marvasti, Neda, Kaski, Samuel, Vaniala, Iiro and Mattila, Pekka (2021). Online content match-making in B2B markets: application of neural content modeling. Industrial Marketing Management, 93, 32-40. doi: 10.1016/j.indmarman.2020.12.012 |
|
2020 Journal Article Speech analytics for actionable insights: current status, recommendation, and guidanceShim, J. P., French, Aaron M. and Upreti, Bikesh (2020). Speech analytics for actionable insights: current status, recommendation, and guidance. Foundations and Trends in Information Systems, 4 (3), 213-274. doi: 10.1561/9781680836974 |
|
2020 Journal Article Understanding the creation of trust in cryptocurrencies: the case of BitcoinMarella, Venkata, Upreti, Bikesh, Merikivi, Jani and Tuunainen, Virpi Kristiina (2020). Understanding the creation of trust in cryptocurrencies: the case of Bitcoin. Electronic Markets, 30 (2), 259-271. doi: 10.1007/s12525-019-00392-5 |
|
2020 Conference Publication Understanding the creation of trust in cryptocurrencies: bitcoinMarella, Venkata, Uperti, Bikesh and Merikivi, Jani (2020). Understanding the creation of trust in cryptocurrencies: bitcoin. 32nd Bled eConference Humanizing Technology for a Sustainable Society, Bled, Slovenia, 16 - 19 June 2019. Maribor, Slovenia: University of Maribor Press. doi: 10.18690/978-961-286-280-0.44 |
|
2020 Conference Publication Detecting political bots on twitter during the 2019 Finnish parliamentary electionRossi, Sippo, Rossi, Matti, Upreti, Bikesh Raj and Liu, Yong (2020). Detecting political bots on twitter during the 2019 Finnish parliamentary election. 53rd Hawaii International Conference on System Sciences 2020, Wailea, HI, United States, 7 - 10 January 2020. Washington, DC, United States: IEEE Computer Society. doi: 10.24251/HICSS.2020.298 |
|
2019 Journal Article Building on shaky foundations? Lack of falsification and knowledge contestation in IS theories, methods, and practicesSalovaara, Antti, Upreti, Bikesh Raj, Nykanen, Jussi Ilmari and Merikivi, Jani (2019). Building on shaky foundations? Lack of falsification and knowledge contestation in IS theories, methods, and practices. European Journal of Information Systems, 29 (1), 65-83. doi: 10.1080/0960085x.2019.1685737 |
|
2019 Book Chapter Knowledge-driven approaches for financial news analyticsUpreti, Bikesh Raj, Back, Philipp Martin, Malo, Pekka, Ahlgren, Oskar and Sinha, Ankur (2019). Knowledge-driven approaches for financial news analytics. Network Theory and Agent-Based Modeling in Economics and Finance. (pp. 375-404) edited by Anindya S. Chakrabarti, Lukáš Pichl and Taisei Kaizoji. Singapore, Singapore: Springer Singapore. doi: 10.1007/978-981-13-8319-9_19 |
|
2018 Conference Publication Analyzing the ways IT has changed our TV consumption: binge watching and marathon watchingUpreti, Bikesh Raj, Merikivi, Jani, Bragge, Johanna and Malo, Pekka (2018). Analyzing the ways IT has changed our TV consumption: binge watching and marathon watching. ICIS 2017: Transforming Society with Digital Innovation, Seoul, South Korea, 10 - 13 December 2017. Atlanta, GA, United States: Association for Information Systems. |
|
2016 Conference Publication To reach the clouds: application of topic models to the meta-review on cloud computing literatureUpreti, Bikesh Raj, Asatiani, Aleksandre and Malo, Pekka (2016). To reach the clouds: application of topic models to the meta-review on cloud computing literature. 2016 49th Hawaii International Conference on System Sciences (HICSS), Koloa, HI, United States, 5 - 8 January 2016. Washington, DC, United States: I E E E Computer Society. doi: 10.1109/hicss.2016.493 |
