Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation

A Babić Rosario, K De Valck, F Sotgiu - Journal of the Academy of …, 2020 - Springer
Electronic word of mouth (eWOM) is a prevalent consumer practice that has undeniable
effects on the company bottom line, yet it remains an over-labeled and under-theorized …

Latest trends of security and privacy in recommender systems: a comprehensive review and future perspectives

Y Himeur, SS Sohail, F Bensaali, A Amira… - Computers & Security, 2022 - Elsevier
With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …

Towards risk-aware artificial intelligence and machine learning systems: An overview

X Zhang, FTS Chan, C Yan, I Bose - Decision Support Systems, 2022 - Elsevier
The adoption of artificial intelligence (AI) and machine learning (ML) in risk-sensitive
environments is still in its infancy because it lacks a systematic framework for reasoning …

The role of social media in enhancing guanxi and perceived effectiveness of E-commerce institutional mechanisms in online marketplace

AYL Chong, E Lacka, L Boying, HK Chan - Information & management, 2018 - Elsevier
This study extends literature on e-commerce trust and repurchase intentions by exploring
the role of swift guanxi and the perceived effectiveness of institutional mechanisms (PEEIM) …

Ranking in evolving complex networks

H Liao, MS Mariani, M Medo, YC Zhang, MY Zhou - Physics Reports, 2017 - Elsevier
Complex networks have emerged as a simple yet powerful framework to represent and
analyze a wide range of complex systems. The problem of ranking the nodes and the edges …

S-commerce: Influence of Facebook likes on purchases and recommendations on a linked e-commerce site

S Bhattacharyya, I Bose - Decision Support Systems, 2020 - Elsevier
Social networking site (SNS) driven e-commerce, the latest social commerce (s-commerce)
phenomenon, gains prominence with the introduction of the call-to-action feature. The call-to …

The influence of reviewer engagement characteristics on online review helpfulness: A text regression model

TL Ngo-Ye, AP Sinha - Decision Support Systems, 2014 - Elsevier
The era of Web 2.0 is witnessing the proliferation of online social media platforms, which
develop new business models by leveraging user-generated content. One rapidly growing …

Personalized task recommendation in crowdsourcing information systems—Current state of the art

D Geiger, M Schader - Decision Support Systems, 2014 - Elsevier
Crowdsourcing information systems are socio-technical systems that provide informational
products or services by harnessing the diverse potential of large groups of people via the …

[HTML][HTML] Design of review systems–A strategic instrument to shape online reviewing behavior and economic outcomes

D Gutt, J Neumann, S Zimmermann, D Kundisch… - The Journal of Strategic …, 2019 - Elsevier
As online reviews play a decisive role in consumers' purchase decisions, e-commerce
platforms are using review systems strategically to obtain a competitive advantage …

Behavioral economics for decision support systems researchers

D Arnott, S Gao - Decision Support Systems, 2019 - Elsevier
Theories of decision-making, both prescriptive and descriptive, have long been important to
decision support systems (DSS). Currently, the field of behavioral economics (BE) provides …