Modelling the Influences of Online Social Networks on Consumers’ Buying Behaviour

Cetină, Iuliana; Dumitrescu, Luigi; Fuciu, Mircea; Orzan, Gheorghe; Stoicescu, Cristina

doi:10.24818/18423264/52.2.18.01

Cited by 5 publications

(3 citation statements)

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“…However, these behaviors may endanger information security, thus causing privacy concerns among consumers [88]. Bearing this in mind, unambiguously owing to the desire to identify consumer buying behavior in the virtual setting, it has become tremendously imperative to comprehend how IT (e.g., online social networks) impacts CB [52]. Generally, contemporary business practices are renovated by digital transformation, principally in the service industry.…”

Section: Discussionmentioning

confidence: 99%

“…Businesses face multifaceted and inconsistent consumer behaviors in the IT era, and the advent of diverse IT channels, specifically online social networks, has enabled businesses and marketers to leverage social media marketing [52,62]. The IT industry complements and enhances the customer experience by enriching it as a whole [48] and is not a competitor.…”

Section: It and Consumer Behaviormentioning

confidence: 99%

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How Information Technology (IT) Is Shaping Consumer Behavior in the Digital Age: A Systematic Review and Future Research Directions

Singh,

Khoshaim,

Nuwisser

et al. 2024

Sustainability

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The success of modern businesses hinges on their capability to recognize and explore emerging patterns in consumer behavior within the context of information technology (IT). While the study of consumer behavior has made notable progress, there remains a need to study the convergence between IT and consumer behavior to discover new prospects and insights that can improve business performance. Therefore, conducting a thorough study to evaluate the current state of research in this area is imperative. This endeavor can accumulate and map current research, extending knowledge and good practices for businesses and stakeholders. This study studied the intersection of IT and consumer behavior using the systematic literature review (SLR) approach and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. The primary objective was to review the comprehensiveness of systematic review reports and meta-analysis studies in journals indexed with the SSCI and SCIE categories of the Web of Science. After applying the PRISMA approach, a sample of 40 eligible articles was finalized for further review. It identified four critical themes related to research: technological diffusion, disruptive consumer behavior, IT and consumer behavior, and the impact of IT on consumer behavior. The study's results deliver practical implications for businesses and stakeholders and contribute to progressing knowledge in this domain.

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Section: Discussionmentioning

confidence: 99%

Section: It and Consumer Behaviormentioning

confidence: 99%

How Information Technology (IT) Is Shaping Consumer Behavior in the Digital Age: A Systematic Review and Future Research Directions

Singh,

Khoshaim,

Nuwisser

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…In the context of the internet developed as global mainstream communication media [17], virtual communities provide a new way to achieve social convenience, user-generated content, and innovative task resolution [18], while the persistence and effectiveness of virtual communities depend on their identification, guidance, and management of heterogeneous users [11,15,19]. Therefore, research on user roles in virtual communities has attracted extensive attention.…”

Section: Introductionmentioning

confidence: 99%

User Roles in Virtual Community of Crowdsourcing for Innovation: A Case Study of Xiaomi MIUI in China

2019

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Crowdsourcing innovation, as a new innovation pattern, helps companies reduce the risks and costs of innovation, which has received widespread attention and practical application. What is critical for improving crowdsourcing innovation performance is to understand the heterogeneity of participating users deeply, guide and motivate users to participate actively. Based on the typical characteristics of crowdsourcing innovation communities, this paper proposes a model integrating social network analysis (SNA) & K-means clustering algorithm to identify participants' roles and conducting empirical research with Xiaomi MIUI community. The result indicates that users can be divided into nine categories: active user, positive user, negative user, bystander, creative contributor, faithful supporter, tourist, and new participant. In order to provide decision support for enterprises to govern crowdsourcing innovation virtual community effectively and improve innovation performance, this paper analyses the behavioural characteristics of each user role from two dimensions: interaction behaviour and contribution behaviour.

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Artificial Intelligence as a Tool in the Online Fashion Retail Industry to Communicate Fashion Trends

Vashisht

Mittar²

2019

Fashion Communication in the Digital Age

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Modelling the Influences of Online Social Networks on Consumers’ Buying Behaviour

Cited by 5 publications

References 0 publications

How Information Technology (IT) Is Shaping Consumer Behavior in the Digital Age: A Systematic Review and Future Research Directions

How Information Technology (IT) Is Shaping Consumer Behavior in the Digital Age: A Systematic Review and Future Research Directions

User Roles in Virtual Community of Crowdsourcing for Innovation: A Case Study of Xiaomi MIUI in China

Artificial Intelligence as a Tool in the Online Fashion Retail Industry to Communicate Fashion Trends

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