Big data and human resource management research: An integrative review and new directions for future research

Y Zhang, S Xu, L Zhang, M Yang - Journal of Business Research, 2021 - Elsevier
The lack of sufficient big data-based approaches impedes the development of human
resource management (HRM) research and practices. Although scholars have realized the …

Barriers to academic data science research in the new realm of algorithmic behaviour modification by digital platforms

T Greene, D Martens, G Shmueli - Nature Machine Intelligence, 2022 - nature.com
The era of behavioural big data has created new avenues for data science research, with
many new contributions stemming from academic researchers. Yet data controlled by …

Transformational issues of big data and analytics in networked business

B Baesens, R Bapna, JR Marsden, J Vanthienen… - MIS quarterly, 2016 - JSTOR
The era of big data and analytics is upon us and is changing the world dramatically. The
field of Information Systems should be at the forefront of understanding and interpreting the …

The analytics paradigm in business research

D Delen, HM Zolbanin - Journal of Business Research, 2018 - Elsevier
The availability of data in massive collections in recent past not only has enabled data-
driven decision-making, but also has created new questions that cannot be addressed …

A framework for cyber-risk insurance against ransomware: A mixed-method approach

A Mukhopadhyay, S Jain - International Journal of Information Management, 2024 - Elsevier
Hackers follow a standard cyber kill chain process and install ransomware payloads using
phishing emails on firms belonging to critical industry, resulting in huge losses in revenue …

In the realm of hungry ghosts: multi-level theory for supplier participation on digital platforms

A Kathuria, PP Karhade… - Journal of Management …, 2020 - Taylor & Francis
Digital platforms have transformed various industries, with profound changes witnessed in
settings characterized by repeated, low value, and novel transactions, such as ride sharing …

[HTML][HTML] A machine-based prediction model of ADHD using CPT data

O Slobodin, I Yahav, I Berger - Frontiers in human neuroscience, 2020 - frontiersin.org
Despite the popularity of the continuous performance test (CPT) in the diagnosis of attention-
deficit/hyperactivity disorder (ADHD), its specificity, sensitivity, and ecological validity are still …

Causal decision making and causal effect estimation are not the same… and why it matters

C Fernández-Loría, F Provost - INFORMS Journal on Data …, 2022 - pubsonline.informs.org
Causal decision making (CDM) at scale has become a routine part of business, and
increasingly, CDM is based on statistical models and machine learning algorithms …

Evaluation of debris flow and landslide hazards using ensemble framework of Bayesian-and tree-based models

SC Pal, R Chakrabortty, A Saha, SK Bozchaloei… - Bulletin of Engineering …, 2022 - Springer
The modeling and prediction of land movement susceptibility hazards, ie, debris flow,
landslide, and rock fall, can assist in controlling and preventing a variety of societal and …

Crowdfunding for microfinance institutions: the new hope?

X Luo, L Ge, CA Wang - MIS Quarterly, 2022 - search.ebscohost.com
As an innovative alternative financing channel, online crowdfunding holds the promise of
empowering entrepreneurs and small businesses. However, doubts have been expressed …