Common method bias: It's bad, it's complex, it's widespread, and it's not easy to fix
Despite recognition of the harmful effects of common method bias (CMB), its causes,
consequences, and remedies are still not well understood. Therefore, the purpose of this …
consequences, and remedies are still not well understood. Therefore, the purpose of this …
Data, measurement, and causal inferences in machine learning: opportunities and challenges for marketing
JF Hair Jr, M Sarstedt - Journal of Marketing Theory and Practice, 2021 - Taylor & Francis
The emergence of digital data and the methods used to analyze them are revolutionizing
marketing research. The vast quantity of data offers marketing researchers countless …
marketing research. The vast quantity of data offers marketing researchers countless …
[HTML][HTML] Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view
This study attempts to understand the role of artificial intelligence-driven big data analytics
capability in humanitarian relief operations. These disasters play an important role in …
capability in humanitarian relief operations. These disasters play an important role in …
Understanding and managing the threat of common method bias: Detection, prevention and control
Common method bias can appear when both the independent and dependent variable is
captured by the same response method. While the consequences of common method bias …
captured by the same response method. While the consequences of common method bias …
[HTML][HTML] Do organizations really evolve? The critical link between organizational culture and organizational innovation toward organizational effectiveness: Pivotal role …
In today's global economy, organizational effectiveness and innovation have become top
priorities, putting pressure on all businesses worldwide. Therefore, this study aims to explore …
priorities, putting pressure on all businesses worldwide. Therefore, this study aims to explore …
Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research
Purpose Partial least squares structural equation modeling (PLS-SEM) has become popular
in the information systems (IS) field for modeling structural relationships between latent …
in the information systems (IS) field for modeling structural relationships between latent …
[HTML][HTML] Digitalization beyond technology: Proposing an explanatory and predictive model for digital culture in organizations
AL Leal-Rodríguez, C Sanchís-Pedregosa… - Journal of Innovation & …, 2023 - Elsevier
Continuous technological advancements and digitalization are transforming organizations'
resources and capabilities, yet many have not adapted their corporate culture accordingly …
resources and capabilities, yet many have not adapted their corporate culture accordingly …
Does SMS advertising still have relevance to increase consumer purchase intention? A hybrid PLS-SEM-neural network modelling approach
SMS advertising perception has been found to have a significant influence over consumer
purchase intention either directly or indirectly. However, there is a dearth of comprehensive …
purchase intention either directly or indirectly. However, there is a dearth of comprehensive …
A CSR perspective to foster employee creativity in the banking sector: The role of work engagement and psychological safety
The entire service sector has acknowledged the importance of employee creativity.
However, the underlying mechanism due to which employees are engaged in creativity has …
However, the underlying mechanism due to which employees are engaged in creativity has …
An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance
S Bag, S Gupta, A Kumar, U Sivarajah - Industrial marketing management, 2021 - Elsevier
This study examines the effect of big data powered artificial intelligence on customer
knowledge creation, user knowledge creation and external market knowledge creation to …
knowledge creation, user knowledge creation and external market knowledge creation to …