Page 27 - IIMV Newsletter Edition Dec 25

Research@IIMV

key values and motivations through the triangular theory of love
(TTL) and the theory of consumption value (TCV), offering a nuanced
view of digital consumer behavior.

Design/methodology/approach
The study employed a quantitative approach. It analyzed data from
289 participants in the UK and US to explore relationships among
perceived values, passion, intimacy, commitment, and engagement,
employing structural equation modeling and PROCESS macro for
hypothesis testing.
Findings

The study’s findings suggest that perceived values such as symbolic,
novelty, and anthropomorphic values foster passion for SVAs in
consumers. In addition, the study establishes that passion positively
impacts intimacy and commitment, further influencing consumer
engagement. The moderation analysis of technostress reveals its
influence on the relationship between social presence value and
passion.
Click here to read the paper.

Meta-Explainable Machine Learning Model for
Public Health Care Resource Management

Shivshanker Singh Patel

Journal of Database Management (ABDC-A)

This study introduces a new meta-explainable machine learning
methodology to enhance medical care recommendations and
optimize healthcare operations through targeted interventions.
It could assist a large, and diverse population facing challenges
in resource allocation and operational complexity. The proposed
method utilizes a two-stage model. It first employs an Explainable
Boosting Machine (EBM) and then provides the output from the
initial phase to an unsupervised machine learning framework. It
examines diverse aspects to identify the most critical set of features
for focused operations and policy recommendations in designated
areas. The research is based on data collected from three regions
of India about maternal health and maternal mortality. The results
highlight the accuracy of healthcare operations, thereby facilitating
data-informed decisions. Implementing the method outlined in
this paper in any other region across the globe will significantly
enhance the design and execution of targeted healthcare initiatives,
enhancing public health outcomes and optimizing resource.
Click here to read the paper.

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