From fear to faith in the adoption of medicine delivery application: An integration of SOR framework and IRT theory

D Chakraborty, HB Singu, AK Kar, W Biswas - Journal of Business …, 2023 - Elsevier
The current study tries to better understand the different consumer barriers towards adoption
of MDAs and their psychological and behavioural responses through the lens of innovation …

[HTML][HTML] Out of the way, human! Understanding post-adoption of last-mile delivery robots

XJ Lim, JYS Chang, JH Cheah, WM Lim… - … forecasting and social …, 2024 - Elsevier
The pace of technological development is exceeding expectations and transforming the
landscape of last-mile delivery. This study investigates how users' post-adoption behavior in …

Technology-enabled cure and care: an application of innovation resistance theory to telemedicine apps in an emerging market context

P Kautish, M Siddiqui, A Siddiqui, V Sharma… - … Forecasting and Social …, 2023 - Elsevier
Technology-enabled innovations are no longer sector-specific interventions; perhaps they
are ubiquitous across businesses. Due to the uneven proliferation of mobile-driven …

Anticipatory value-in-use in early-stage digital health service transformations: How consumers assess value propositions before and after abrupt, exogenous shocks

AJ Dahl, JW Peltier, EL Swan - Journal of Business Research, 2023 - Elsevier
Digital service transformations affect how consumers experience value-in-use. Yet, the
process consumers use to evaluate value propositions for emergent, early-stage service …

[HTML][HTML] How can we use machine learning for characterizing organizational identification-a study using clustering with picture fuzzy datasets

A Ybañez, R Ancheta, SS Evangelista, JL Aro… - International Journal of …, 2023 - Elsevier
This work introduces a data-driven approach based on k-means clustering with datasets
elicited under a Picture fuzzy set (PFS) environment. With the vision, mission, and goals …

Predicting determinants influencing user satisfaction with mental health app: An explainable machine learning approach based on unstructured data

AP Darko, CO Antwi, K Adjei, B Zhang, J Ren - Expert Systems with …, 2024 - Elsevier
In the contemporary digital landscape, the rising concern for mental health has sparked a
surge in the use of mental health apps (MHAs) as accessible tools for addressing …

Artificial intelligence-based food-quality and warehousing management for food banks' inbound logistics

PJ Wu, YC Tai - Journal of Enterprise Information Management, 2024 - emerald.com
Purpose In the reduction of food waste and the provision of food to the hungry, food banks
play critical roles. However, as they are generally run by charitable organisations that are …

[HTML][HTML] A blockchain-based evaluation approach to analyse customer satisfaction using AI techniques

K Barik, S Misra, AK Ray, A Shukla - Heliyon, 2023 - cell.com
Due to technological advancements and consumer demands, online shopping creates new
features and adapts to new standards. A robust customer satisfaction prediction model …

[HTML][HTML] Impact of using virtual avatars in educational videos on user experience

R Zhang, Q Wu - Scientific Reports, 2024 - nature.com
Popularization of knowledge is of considerable importance and necessity, and traditional
knowledge popularization activities suffer from high cost and low acceptance, which affect …

[HTML][HTML] Artificial Intelligent Applications in Enabled Banking Services: The Next Frontier of Customer Engagement in the Era of ChatGPT

D Skandali, A Magoutas, G Tsourvakas - Theoretical Economics Letters, 2023 - scirp.org
The recent global changes in Information and Communications Technology (ICT), have
demonstrated a tremendous range of technological use cases including the use of Artificial …