Journal of Business Analytics
2018 - 2026
Current editor(s): Dursan Delen From Taylor & Francis Journals Bibliographic data for series maintained by Chris Longhurst (). Access Statistics for this journal.
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Volume 6, issue 4, 2023
- Topic modelling applied on innovation studies of Flemish companies pp. 243-254

- Annelien Crijns, Victor Vanhullebusch, Manon Reusens, Michael Reusens and Bart Baesens
- COVID-19, Russia-Ukraine war and interconnectedness between stock and crypto markets: a wavelet-based analysis pp. 255-275

- Wajdi Frikha, Mariem Brahim, Ahmed Jeribi and Amine Lahiani
- An interactive analytics approach for sustainable and resilient case studies: a machine learning perspective pp. 276-293

- Seyed Mohsen Mousavi, Kiarash Sadeghi R. and Lai Soon Lee
- Data analytics management capability and strategies for interorganisational collaborations: a survey research pp. 294-314

- Mohammad Daneshvar Kakhki and Utkarsh Shrivastava
Volume 6, issue 3, 2023
- Mapping business analytics skillsets with industries: empirical evidence from online job advertisements pp. 167-179

- Hong Qin, Kai Koong, Haoyu Wen and Lai Liu
- Predicting customers’ cross-buying decisions: a two-stage machine learning approach pp. 180-187

- Mehmet Serdar Kilinc and Robert Rohrhirsch
- More information is not better: examining appropriate information for estimating sales performance in concept testing pp. 188-202

- Takumi Kato, Susumu Kamei, Takumi Ootsubo and Yosuke Ichiki
- A trans-national comparison of stock market movements and related social media chatter during the COVID-19 pandemic pp. 203-216

- Sathyendra Singh Chauhan, Karthik Srinivasan and Tarun Sharma
- AGGFORCLUS: A hybrid methodology integrating forecasting with clustering to assess mitigation plans and contagion risk in pandemic outbreaks: the COVID-19 Case Study pp. 217-242

- Milton Soto-Ferrari, Alejandro Carrasco-Pena and Diana Prieto
Volume 6, issue 2, 2023
- Analysis of employee perception of employer brand: a comparative study across business cycles using structural topic modelling pp. 95-111

- Gaurav Vijay Karkhanis, Suresh Udhavdas Chandnani and Swapnajit Chakraborti
- Algorithmic enhancements to identify predictable components from users’ data and a framework to detect misinformation in social media pp. 112-126

- Gaurav Dixit and Amit Kumar Kushwaha
- From star rating to sentiment rating: using textual content of online reviews to develop more effective reputation systems for peer-to-peer accommodation platforms pp. 127-139

- Hamed M Zolbanin and Donald Wynn
- Designing a data mining process for the financial services domain pp. 140-166

- Veronika Plotnikova, Marlon Dumas, Alexander Nolte and Fredrik Milani
Volume 6, issue 1, 2023
- The winding road of requesting healthcare data for analytics purposes: using the one-interview mental model method for improving services of health data governance and big data request processes pp. 1-18

- Kanupriya Singh, Isa Jahnke, Abu Mosa and Prasad Calyam
- Using efficiency frontiers to visualise suppliers’ performance capabilities: moving beyond supplier rationalisation pp. 19-38

- Osman Aydas, Anthony Ross, Hamieda Parker and Sepideh Alavi
- Winning one-day international cricket matches: a cross-team perspective pp. 39-58

- Subrat Sarangi and RK Renin Singh
- Artificial intelligence in energy industry: forecasting electricity consumption through cohort intelligence & adaptive neural fuzzy inference system pp. 59-76

- Salih Tutun, Ali Tosyali, Hossein Sangrody, Mohammad Khasawneh, Marina Johnson, Abdullah Albizri and Antoine Harfouche
- Forecasting natural gas consumption in residential and commercial sectors in the US pp. 77-94

- Xingxing Zu, Xiaoyin Wang and Yunwei Cui
Volume 5, issue 2, 2022
- Evaluation of machine learning applications using real-world EHR data for predicting diabetes-related long-term complications pp. 141-151

- Abu Saleh Mohammad Mosa, Chalermpon Thongmotai, Humayera Islam, Tanmoy Paul, K. S. M. Tozammel Hossain and Vasanthi Mandhadi
- Optimal trimming proportion in regression analysis for non-normal distributions pp. 152-163

- Amitava Mitra and Pankush Kalgotra
- In-game win probability models for Canadian football pp. 164-178

- S. E. Hill
- Impact of mobility based network on COVID-19 spread pp. 179-187

- Arindam Ray, Wolfgang Jank and Kaushik Dutta
- Multi-objective programming for designing sustainable biogas supply chain: a case study in North Dakota, USA pp. 188-200

- Yuan Xu, Yong Shin Park, Omid Jadidi, John Loucks and Joseph Szmerekovsky
Volume 5, issue 1, 2022
- Business analytics and big data research in information systems pp. 1-7

- Christian Janiesch, Barbara Dinter, Patrick Mikalef and Olgerta Tona
- Induction of a sentiment dictionary for financial analyst communication: a data-driven approach balancing machine learning and human intuition pp. 8-28

- Matthias Palmer, Jan Roeder and Jan Muntermann
- A social evaluation of the perceived goodness of explainability in machine learning pp. 29-50

- Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich and Christian Janiesch
- Root-cause analysis of process-data quality problems pp. 51-75

- Robert Andrews, Fahame Emamjome, Arthur H.M. ter Hofstede and Hajo A. Reijers
- Detecting temporal workarounds in business processes – A deep-learning-based method for analysing event log data pp. 76-100

- Sven Weinzierl, Verena Wolf, Tobias Pauli, Daniel Beverungen and Martin Matzner
- Establishing and theorising data analytics governance: a descriptive framework and a VSM-based view pp. 101-122

- Jeroen Baijens, Tim Huygh and Remko Helms
- Data ownership revisited: clarifying data accountabilities in times of big data and analytics pp. 123-139

- Martin Fadler and Christine Legner
Volume 4, issue 2, 2021
- Success Factors Affecting the Intention to Use Business Analytics: An Empirical Study pp. 77-90

- Hokey Min, Hey-Young Joo and Seok-Beom Choi
- A survey of image labelling for computer vision applications pp. 91-110

- Christoph Sager, Christian Janiesch and Patrick Zschech
- A Combined Approach For Collaborative Filtering Based Recommender Systems with Matrix Factorisation and Outlier Detection pp. 111-124

- Venil P., Vinodhini G. and K. Suresh Joseph
- Methodology to combine theoretical knowledge with a data-driven probabilistic graphical model pp. 125-139

- Kazim Topuz, Brett D. Jones, Sumeyra Sahbaz and Murad Moqbel
- Revenue characterisation with Singular Spectrum Analysis pp. 140-154

- Rajiv Sambasivan
- Balancing privacy rights and surveillance analytics: a decision process guide pp. 155-170

- Daniel J. Power, Ciara Heavin and Yvonne O’Connor
- Exposing model bias in machine learning revisiting the boy who cried wolf in the context of phishing detection pp. 171-178

- Duan C.J. (Chaojie) and Anuj Gaurav
Volume 4, issue 1, 2021
- Short-term prediction of opioid prescribing patterns for orthopaedic surgical procedures: a machine learning framework pp. 1-13

- Ebrahim Mortaz, Ali Dag, Lorraine Hutzler, Christopher Gharibo, Lisa Anzisi and Joseph Bosco
- An integrated approach to renew software contract using machine learning pp. 14-25

- Shylu John, Bhavin Shah, Varun Dixit and Amol Wani
- Cybersecurity Threats and Organisational Response: Textual Analysis and Panel Regression pp. 26-39

- Anand Jeyaraj, Amir Zadeh and Vikram Sethi
- Using Scouting Reports Text To Predict NCAA → NBA Performance pp. 40-54

- Philip Maymin
- Classifying insincere questions on Question Answering (QA) websites: meta-textual features and word embedding pp. 55-66

- Mohammad Al-Ramahi and Izzat Alsmadi
- Team Contingent or Sport Native? A Bayesian Analysis of Home Field Advantage in Professional Soccer pp. 67-75

- Duan C. J. (Chaojie) and Ananyo Chakravarty
Volume 3, issue 2, 2020
- A market basket analysis of the US auto-repair industry pp. 79-92

- Hilde Patron and Laureano Gomez
- Estimation and demographic analysis of COVID-19 infections with respect to weather factors in Europe pp. 93-106

- Reza Gharoie Ahangar, Robert Pavur, Mahdi Fathi and Abdulazeez Shaik
- Assessing text mining algorithm outcomes pp. 107-121

- Triss Ashton, Nicholas Evangelopoulos, Audhesh Paswan, Victor R. Prybutok and Robert Pavur
- How advanced analytics create (Core) value: an example from a pharmaceutical company, AstraZeneca pp. 122-137

- Bart Willigers
- Determining rank in the market using a neutrosophic decision support system pp. 138-157

- Anuradha Banerjee, Basav Roychoudhury and Bidyut Jyoti Gogoi
- A hybrid data analytics approach for high-performance concrete compressive strength prediction pp. 158-168

- Serhat Simsek, Mehmet Gumus, Mohamed Khalafalla and Tahir Bachar Issa
Volume 3, issue 1, 2020
- Management of analytics-as-a-service - results from an action design research project pp. 1-16

- Christian Dremel, Emanuel Stoeckli and Jochen Wulf
- Deriving topic-related and interaction features to predict top attractive reviews for a specific business entity pp. 17-31

- Eunjung Lee and Huimin Zhao
- Privacy preserving targeted advertising and recommendations pp. 32-55

- Theja Tulabandhula, Shailesh Vaya and Aritra Dhar
- Refund fraud analytics for an online retail purchases pp. 56-66

- Shylu John, Bhavin J. Shah and Pradeep Kartha
- Artificial neural network incorporated decision support tool for point velocity prediction pp. 67-78

- Serhat Simsek, Onur Genc, Abdullah Albizri, Semih Dinc and Bilal Gonen
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