Journal of Business Analytics

2018 - 2025

Current editor(s): Dursan Delen

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Volume 8, issue 1, 2025

Holistic approach for selecting chatbot development tools: combining AHP and TOPSIS methodologies pp. 1-23

Mohamed Lachgar, Hamid Hrimech, Younes Ommane and My Driss Laannaoui

Employee attrition prediction with convolutional neural network and synthetic minority over-sampling technique pp. 24-35

Lian Duan, Javad Paknejad and Hak Kim

Reinforcement learning for dynamic pricing and capacity allocation in monetized customer wait-skipping services pp. 36-54

Christopher Garcia

Assessing data analytics maturity: proposing a new measurement scale pp. 55-69

Despoina Ioakeimidou, Dimitrios Chatzoudes and Prodromos Chatzoglou

Volume 7, issue 4, 2024

The role of data science and data analytics for innovation: a literature review pp. 207-223

Pedro Natividade Joergensen and Michael Zaggl

Framework for human–XAI symbiosis: extended self from the dual-process theory perspective pp. 224-255

Yulia Litvinova, Patrick Mikalef and Xin (Robert) Luo

Democratisation of retail trading: a data-driven comparison of Reddit’s WallStreetBets to investment bank analysts pp. 256-272

Tolga Buz and Gerard de Melo

The analysis of firm web data for predicting company innovativeness: a comparison across different types of innovation pp. 273-291

Sander Sõna, Jaan Masso, Shakshi Sharma, Priit Vahter and Rajesh Sharma

Growth hacking business analytical tools for small and medium enterprises pp. 292-317

Anuradha A. and S. Shri Sailaxmi

Enhancing operational efficiency of insurance companies: a fuzzy time series approach to loss ratio forecasting in the Egyptian market pp. 318-336

Ahmed A. Khalil, Zaiming Liu and Ahmed Ali

Volume 7, issue 3, 2024

Data Analytics for Societal Challenges: Examining Student Participation in the National School Lunch Program pp. 137-150

Gavin Northey and Alpana M. Desai

Maximising competitive advantage: the role of strategic business analytics framework in business strategies pp. 151-177

Arvind Bhisikar

Decoding technological frames: a qualitative inquiry into business analytics perspectives pp. 178-196

Halit Keskin, Ali Ekber Akgün, Ekrem Tatoglu and Hatice Tuba Etlioglu Basaran

Predicting fraud in MD&A sections using deep learning pp. 197-206

Sachin Velloor Sivasubramanian and David Skillicorn

Volume 7, issue 2, 2024

Introducing technological disruption: how breaking media attention on corporate events impacts online sentiment pp. 63-82

Dane Vanderkooi, Atefeh Mashatan and Ozgur Turetken

Intelligent decision support system using nested ensemble approach for customer churn in the hotel industry pp. 83-93

Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili and Mohammad Reza Sanaei

The era of business analytics: identifying and ranking the differences between business intelligence and data science from practitioners’ perspective using the Delphi method pp. 94-119

Mutaz M. Al-Debei

Exploring the relationship between YouTube video optimisation practices and video rankings for online marketing: a machine learning approach pp. 120-135

Marina E. Johnson and Ross A. Malaga

Volume 7, issue 1, 2024

Role of External Factors in Adoption of HR Analytics: Does Statistical Background, Gender and Age Matters? pp. 1-14

Ghulam Muhammad, Muddassir Sayeed Siddiqui, Rizwana Rasheed, Heena Shabbir and Rabia Falak Sher

A Shapley-value Index for Market Basket Analysis: Weighting Shapley’s Value pp. 15-24

Harrison Bohl, Jasmine Craig and Evan Shellshear

When and how to adjust statistical forecasts in supply chains? Insight from causal machine learning pp. 25-41

Budhi S. Wibowo

An adaptive and enhanced framework for daily stock market prediction using feature selection and ensemble learning algorithms pp. 42-62

Mahmut Sami Sivri and Alp Ustundag

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