Topic modeling as a strategy of inquiry in organizational research: A tutorial with an application example on organizational culture
Research has emphasized the limitations of qualitative and quantitative approaches to
studying organizational phenomena. For example, in-depth interviews are resource …
studying organizational phenomena. For example, in-depth interviews are resource …
Privacy at work: A review and a research agenda for a contested terrain
Privacy in the workplace is a pivotal concern for employees and employers. Employees
expect to be in control of the personal information and access they provide to the …
expect to be in control of the personal information and access they provide to the …
[HTML][HTML] Leakage and the reproducibility crisis in machine-learning-based science
Machine-learning (ML) methods have gained prominence in the quantitative sciences.
However, there are many known methodological pitfalls, including data leakage, in ML …
However, there are many known methodological pitfalls, including data leakage, in ML …
COVID‐19 pandemic in the new era of big data analytics: Methodological innovations and future research directions
J Sheng, J Amankwah‐Amoah… - British Journal of …, 2021 - Wiley Online Library
Although scholars in management recognize the value of harnessing big data to
understand, predict and respond to future events, there remains little or very limited overview …
understand, predict and respond to future events, there remains little or very limited overview …
Topic modeling in management research: Rendering new theory from textual data
Increasingly, management researchers are using topic modeling, a new method borrowed
from computer science, to reveal phenomenon-based constructs and grounded conceptual …
from computer science, to reveal phenomenon-based constructs and grounded conceptual …
Who do you trust? The digital destruction of shared situational awareness and the COVID-19 infodemic
D Bunker - International Journal of Information Management, 2020 - Elsevier
Developments in centrally managed communications (eg Twitter, Facebook) and service (eg
Uber, airbnb) platforms, search engines and data aggregation (eg Google) as well as data …
Uber, airbnb) platforms, search engines and data aggregation (eg Google) as well as data …
On doing better science: From thrill of discovery to policy implications
J Antonakis - The Leadership Quarterly, 2017 - Elsevier
In this position paper, I argue that the main purpose of research is to discover and report on
phenomena in a truthful manner. Once uncovered, these phenomena can have important …
phenomena in a truthful manner. Once uncovered, these phenomena can have important …
What translates big data into business value? A meta-analysis of the impacts of business analytics on firm performance
The main purpose of this study is to examine the factors that are critical to create business
value from business analytics (BA). Therefore, we conduct a meta-analysis of 125 firm-level …
value from business analytics (BA). Therefore, we conduct a meta-analysis of 125 firm-level …
Best-practice recommendations for producers, evaluators, and users of methodological literature reviews
We categorized and content-analyzed 168 methodological literature reviews published in 42
management and applied psychology journals. First, our categorization uncovered that the …
management and applied psychology journals. First, our categorization uncovered that the …
“I feel your pain”: A critical review of organizational research on empathy
Empathy, a multidimensional construct comprised of cognitive, affective, and behavioral
dimensions, has been advanced as a critical predictor of prosocial behavior and …
dimensions, has been advanced as a critical predictor of prosocial behavior and …