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Content
October 2024, Volume 7, Issue 4
- 207-223 The role of data science and data analytics for innovation: a literature review
by Pedro Natividade Joergensen & Michael Zaggl - 224-255 Framework for human–XAI symbiosis: extended self from the dual-process theory perspective
by Yulia Litvinova & Patrick Mikalef & Xin (Robert) Luo - 256-272 Democratisation of retail trading: a data-driven comparison of Reddit’s WallStreetBets to investment bank analysts
by Tolga Buz & Gerard de Melo - 273-291 The analysis of firm web data for predicting company innovativeness: a comparison across different types of innovation
by Sander Sõna & Jaan Masso & Shakshi Sharma & Priit Vahter & Rajesh Sharma - 292-317 Growth hacking business analytical tools for small and medium enterprises
by Anuradha A. & S. Shri Sailaxmi - 318-336 Enhancing operational efficiency of insurance companies: a fuzzy time series approach to loss ratio forecasting in the Egyptian market
by Ahmed A. Khalil & Zaiming Liu & Ahmed Ali
July 2024, Volume 7, Issue 3
- 137-150 Data Analytics for Societal Challenges: Examining Student Participation in the National School Lunch Program
by Gavin Northey & Alpana M. Desai - 151-177 Maximising competitive advantage: the role of strategic business analytics framework in business strategies
by Arvind Bhisikar - 178-196 Decoding technological frames: a qualitative inquiry into business analytics perspectives
by Halit Keskin & Ali Ekber Akgün & Ekrem Tatoglu & Hatice Tuba Etlioglu Basaran - 197-206 Predicting fraud in MD&A sections using deep learning
by Sachin Velloor Sivasubramanian & David Skillicorn
April 2024, Volume 7, Issue 2
- 63-82 Introducing technological disruption: how breaking media attention on corporate events impacts online sentiment
by Dane Vanderkooi & Atefeh Mashatan & Ozgur Turetken - 83-93 Intelligent decision support system using nested ensemble approach for customer churn in the hotel industry
by Leila Taherkhani & Amir Daneshvar & Hossein Amoozad Khalili & Mohammad Reza Sanaei - 94-119 The era of business analytics: identifying and ranking the differences between business intelligence and data science from practitioners’ perspective using the Delphi method
by Mutaz M. Al-Debei - 120-135 Exploring the relationship between YouTube video optimisation practices and video rankings for online marketing: a machine learning approach
by Marina E. Johnson & Ross A. Malaga
January 2024, Volume 7, Issue 1
- 1-14 Role of External Factors in Adoption of HR Analytics: Does Statistical Background, Gender and Age Matters?
by Ghulam Muhammad & Muddassir Sayeed Siddiqui & Rizwana Rasheed & Heena Shabbir & Rabia Falak Sher - 15-24 A Shapley-value Index for Market Basket Analysis: Weighting Shapley’s Value
by Harrison Bohl & Jasmine Craig & Evan Shellshear - 25-41 When and how to adjust statistical forecasts in supply chains? Insight from causal machine learning
by Budhi S. Wibowo - 42-62 An adaptive and enhanced framework for daily stock market prediction using feature selection and ensemble learning algorithms
by Mahmut Sami Sivri & Alp Ustundag
October 2023, Volume 6, Issue 4
- 243-254 Topic modelling applied on innovation studies of Flemish companies
by Annelien Crijns & Victor Vanhullebusch & Manon Reusens & Michael Reusens & Bart Baesens - 255-275 COVID-19, Russia-Ukraine war and interconnectedness between stock and crypto markets: a wavelet-based analysis
by Wajdi Frikha & Mariem Brahim & Ahmed Jeribi & Amine Lahiani - 276-293 An interactive analytics approach for sustainable and resilient case studies: a machine learning perspective
by Seyed Mohsen Mousavi & Kiarash Sadeghi R. & Lai Soon Lee - 294-314 Data analytics management capability and strategies for interorganisational collaborations: a survey research
by Mohammad Daneshvar Kakhki & Utkarsh Shrivastava
July 2023, Volume 6, Issue 3
- 167-179 Mapping business analytics skillsets with industries: empirical evidence from online job advertisements
by Hong Qin & Kai Koong & Haoyu Wen & Lai Liu - 180-187 Predicting customers’ cross-buying decisions: a two-stage machine learning approach
by Mehmet Serdar Kilinc & Robert Rohrhirsch - 188-202 More information is not better: examining appropriate information for estimating sales performance in concept testing
by Takumi Kato & Susumu Kamei & Takumi Ootsubo & Yosuke Ichiki - 203-216 A trans-national comparison of stock market movements and related social media chatter during the COVID-19 pandemic
by Sathyendra Singh Chauhan & Karthik Srinivasan & Tarun Sharma - 217-242 AGGFORCLUS: A hybrid methodology integrating forecasting with clustering to assess mitigation plans and contagion risk in pandemic outbreaks: the COVID-19 Case Study
by Milton Soto-Ferrari & Alejandro Carrasco-Pena & Diana Prieto
April 2023, Volume 6, Issue 2
- 95-111 Analysis of employee perception of employer brand: a comparative study across business cycles using structural topic modelling
by Gaurav Vijay Karkhanis & Suresh Udhavdas Chandnani & Swapnajit Chakraborti - 112-126 Algorithmic enhancements to identify predictable components from users’ data and a framework to detect misinformation in social media
by Gaurav Dixit & Amit Kumar Kushwaha - 127-139 From star rating to sentiment rating: using textual content of online reviews to develop more effective reputation systems for peer-to-peer accommodation platforms
by Hamed M Zolbanin & Donald Wynn - 140-166 Designing a data mining process for the financial services domain
by Veronika Plotnikova & Marlon Dumas & Alexander Nolte & Fredrik Milani
January 2023, Volume 6, Issue 1
- 1-18 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
by Kanupriya Singh & Isa Jahnke & Abu Mosa & Prasad Calyam - 19-38 Using efficiency frontiers to visualise suppliers’ performance capabilities: moving beyond supplier rationalisation
by Osman Aydas & Anthony Ross & Hamieda Parker & Sepideh Alavi - 39-58 Winning one-day international cricket matches: a cross-team perspective
by Subrat Sarangi & RK Renin Singh - 59-76 Artificial intelligence in energy industry: forecasting electricity consumption through cohort intelligence & adaptive neural fuzzy inference system
by Salih Tutun & Ali Tosyali & Hossein Sangrody & Mohammad Khasawneh & Marina Johnson & Abdullah Albizri & Antoine Harfouche - 77-94 Forecasting natural gas consumption in residential and commercial sectors in the US
by Xingxing Zu & Xiaoyin Wang & Yunwei Cui
July 2022, Volume 5, Issue 2
- 141-151 Evaluation of machine learning applications using real-world EHR data for predicting diabetes-related long-term complications
by Abu Saleh Mohammad Mosa & Chalermpon Thongmotai & Humayera Islam & Tanmoy Paul & K. S. M. Tozammel Hossain & Vasanthi Mandhadi - 152-163 Optimal trimming proportion in regression analysis for non-normal distributions
by Amitava Mitra & Pankush Kalgotra - 164-178 In-game win probability models for Canadian football
by S. E. Hill - 179-187 Impact of mobility based network on COVID-19 spread
by Arindam Ray & Wolfgang Jank & Kaushik Dutta - 188-200 Multi-objective programming for designing sustainable biogas supply chain: a case study in North Dakota, USA
by Yuan Xu & Yong Shin Park & Omid Jadidi & John Loucks & Joseph Szmerekovsky
January 2022, Volume 5, Issue 1
- 1-7 Business analytics and big data research in information systems
by Christian Janiesch & Barbara Dinter & Patrick Mikalef & Olgerta Tona - 8-28 Induction of a sentiment dictionary for financial analyst communication: a data-driven approach balancing machine learning and human intuition
by Matthias Palmer & Jan Roeder & Jan Muntermann - 29-50 A social evaluation of the perceived goodness of explainability in machine learning
by Jonas Wanner & Lukas-Valentin Herm & Kai Heinrich & Christian Janiesch - 51-75 Root-cause analysis of process-data quality problems
by Robert Andrews & Fahame Emamjome & Arthur H.M. ter Hofstede & Hajo A. Reijers - 76-100 Detecting temporal workarounds in business processes – A deep-learning-based method for analysing event log data
by Sven Weinzierl & Verena Wolf & Tobias Pauli & Daniel Beverungen & Martin Matzner - 101-122 Establishing and theorising data analytics governance: a descriptive framework and a VSM-based view
by Jeroen Baijens & Tim Huygh & Remko Helms - 123-139 Data ownership revisited: clarifying data accountabilities in times of big data and analytics
by Martin Fadler & Christine Legner
July 2021, Volume 4, Issue 2
- 77-90 Success Factors Affecting the Intention to Use Business Analytics: An Empirical Study
by Hokey Min & Hey-Young Joo & Seok-Beom Choi - 91-110 A survey of image labelling for computer vision applications
by Christoph Sager & Christian Janiesch & Patrick Zschech - 111-124 A Combined Approach For Collaborative Filtering Based Recommender Systems with Matrix Factorisation and Outlier Detection
by Venil P. & Vinodhini G. & K. Suresh Joseph - 125-139 Methodology to combine theoretical knowledge with a data-driven probabilistic graphical model
by Kazim Topuz & Brett D. Jones & Sumeyra Sahbaz & Murad Moqbel - 140-154 Revenue characterisation with Singular Spectrum Analysis
by Rajiv Sambasivan - 155-170 Balancing privacy rights and surveillance analytics: a decision process guide
by Daniel J. Power & Ciara Heavin & Yvonne O’Connor - 171-178 Exposing model bias in machine learning revisiting the boy who cried wolf in the context of phishing detection
by Duan C.J. (Chaojie) & Anuj Gaurav
January 2021, Volume 4, Issue 1
- 1-13 Short-term prediction of opioid prescribing patterns for orthopaedic surgical procedures: a machine learning framework
by Ebrahim Mortaz & Ali Dag & Lorraine Hutzler & Christopher Gharibo & Lisa Anzisi & Joseph Bosco - 14-25 An integrated approach to renew software contract using machine learning
by Shylu John & Bhavin Shah & Varun Dixit & Amol Wani - 26-39 Cybersecurity Threats and Organisational Response: Textual Analysis and Panel Regression
by Anand Jeyaraj & Amir Zadeh & Vikram Sethi - 40-54 Using Scouting Reports Text To Predict NCAA → NBA Performance
by Philip Maymin - 55-66 Classifying insincere questions on Question Answering (QA) websites: meta-textual features and word embedding
by Mohammad Al-Ramahi & Izzat Alsmadi - 67-75 Team Contingent or Sport Native? A Bayesian Analysis of Home Field Advantage in Professional Soccer
by Duan C. J. (Chaojie) & Ananyo Chakravarty
July 2020, Volume 3, Issue 2
- 79-92 A market basket analysis of the US auto-repair industry
by Hilde Patron & Laureano Gomez - 93-106 Estimation and demographic analysis of COVID-19 infections with respect to weather factors in Europe
by Reza Gharoie Ahangar & Robert Pavur & Mahdi Fathi & Abdulazeez Shaik - 107-121 Assessing text mining algorithm outcomes
by Triss Ashton & Nicholas Evangelopoulos & Audhesh Paswan & Victor R. Prybutok & Robert Pavur - 122-137 How advanced analytics create (Core) value: an example from a pharmaceutical company, AstraZeneca
by Bart Willigers - 138-157 Determining rank in the market using a neutrosophic decision support system
by Anuradha Banerjee & Basav Roychoudhury & Bidyut Jyoti Gogoi - 158-168 A hybrid data analytics approach for high-performance concrete compressive strength prediction
by Serhat Simsek & Mehmet Gumus & Mohamed Khalafalla & Tahir Bachar Issa
January 2020, Volume 3, Issue 1
- 1-16 Management of analytics-as-a-service - results from an action design research project
by Christian Dremel & Emanuel Stoeckli & Jochen Wulf - 17-31 Deriving topic-related and interaction features to predict top attractive reviews for a specific business entity
by Eunjung Lee & Huimin Zhao - 32-55 Privacy preserving targeted advertising and recommendations
by Theja Tulabandhula & Shailesh Vaya & Aritra Dhar - 56-66 Refund fraud analytics for an online retail purchases
by Shylu John & Bhavin J. Shah & Pradeep Kartha - 67-78 Artificial neural network incorporated decision support tool for point velocity prediction
by Serhat Simsek & Onur Genc & Abdullah Albizri & Semih Dinc & Bilal Gonen
July 2019, Volume 2, Issue 2
- 101-117 How ideological network influences terrorist attack tactics? An empirical study
by Lyudmyla Starostyuk & Kay-Yut Chen & Edmund L. Prater - 118-133 The origins of business analytics and implications for the information systems field
by Nik Rushdi Hassan - 134-146 Bayesian assessment of predictors’ contributions to variation in the predictive performance of a logistic regression model
by Yonggang Lu - 147-159 Organisational project evaluation via machine learning techniques: an exploration
by Alon Yaakobi & Moshe Goresh & Iris Reychav & Roger McHaney & Lin Zhu & Hanoch Sapoznikov & Yuval Lib - 160-173 Business analytics capability, organisational value and competitive advantage
by Michael O’Neill & Anthony Brabazon
January 2019, Volume 2, Issue 1
- 1-23 Tree-based methods for clustering time series using domain-relevant attributes
by Mahsa Ashouri & Galit Shmueli & Chor-Yiu Sin - 24-46 An empirical model of the decision to switch between electricity price contracts
by Gauthier Lanot & Mattias Vesterberg - 47-62 An evidence-based management framework for business analytics
by Kevin P. Scheibe & Sree Nilakanta & Cliff T. Ragsdale & Bob Younie - 63-73 Predicting the point spread in professional basketball in real time: a data snapshot approach
by Varol Onur Kayhan & Alison Watkins - 74-87 Remedies against bias in analytics systems
by John Steven Edwards & Eduardo Rodriguez - 88-99 Optimizing management of emergency gas leaks: a case study in business analytics
by Charles R. Hadlock & Samuel W. Woolford
July 2018, Volume 1, Issue 2
- 73-80 From analytics to artificial intelligence
by Thomas H. Davenport - 81-92 Business analytics and firm performance: role of structured financial statement data
by Vincent Whitelock - 93-116 Topic modeling for analyzing open-ended survey responses
by Andra-Selina Pietsch & Stefan Lessmann - 117-134 Alignment of business and social media strategies: insights from a text mining analysis
by Amir Hassan Zadeh & Anand Jeyaraj - 135-143 Explaining impact of predictors in rankings: an illustrative case of states rankings
by A. E. Rodriguez & Ahmet S. Ozkul & Brian A. Marks
January 2018, Volume 1, Issue 1
- 1-1 Introduction to the inaugural issue of Journal of Business Analytics
by Sudha Ram & Dursun Delen - 2-12 Research challenges and opportunities in business analytics
by Dursun Delen & Sudha Ram - 13-28 Beyond solving the last mile problem: the substitution effects of bike-sharing on a ride-sharing platform
by Juan Qin & Stephanie Lee & Xiangbin Yan & Yong Tan - 29-39 Classifying facts and opinions in Twitter messages: a deep learning-based approach
by Swayambhu Chatterjee & Shuyuan Deng & Jun Liu & Ronghua Shan & Wu Jiao - 40-53 Defining business analytics: an empirical approach
by D. J. Power & C. Heavin & J. McDermott & M. Daly - 54-70 Analysing forward-looking statements in initial public offering prospectuses: a text analytics approach
by Jie Tao & Amit V. Deokar & Ashutosh Deshmukh - 71-71 Correction
by The Editors