A systematic review on social commerce

Esmaeili, Leila; Hashemi, G Seyed Alireza

doi:10.1080/0965254x.2017.1408672

Cited by 61 publications

(68 citation statements)

References 66 publications

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“…can interact with ESCS and with each other via considered interfaces. There are two main architecture models for ESCS [52], [63], but they have two common objectives: 1) realization of commercial goals, and 2) promoting collaboration and interaction among stakeholders [29].…”

Section: Introductionmentioning

confidence: 99%

“…Social commerce contains data types including dark data. In social commerce researches, the use of dark data is not considered [29]. Therefore, studying the event logs (a dedicated log file that is sometimes generated from other logs and data [83]) and social relations in the context of social commerce can be substantial.…”

Section: Introductionmentioning

confidence: 99%

“…Studies express the importance of interactions among stakeholders in the context of s-commerce [21], [29], [82], [98]. By taking a closer look at the studies, it is specified that interaction is an important feature and one of the main elements of s-commerce [61].…”

Section: Introductionmentioning

confidence: 99%

“…The formation of business processes in the context of social commerce is based on stakeholders interactions [29]. Hence, the study of the impact of social relations on business interactions can enable us to predict the behaviour of the business market based on social relations.…”

Section: Introductionmentioning

confidence: 99%

“…Social commerce systems include information, goods/services, and financial flows [9], [68]. These systems also incorporate social relations [11], [29], [34]. Thus, they are different with information systems which only contain information flows [10], [24], [39].…”

Section: Introductionmentioning

confidence: 99%

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Conformance Checking of the Activity Network with the Social Relationships Structure in the Context of Social Commerce

Esmaeili

Golpayegani

2020

J. theor. appl. electron. commer. res.

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Control and management of e-markets are one of the essential needs in social commerce context. Social commerce systems include not only informational flows, financial and goods/services but also social relationships and interactions. The focus of this research is to find the meaningful relationship between social relations and the network of various commercial flows among human resources (i.e., activity network) in social commerce context. If the activity network conforms with social relations, then business processes and, in general, the e-market can be steered by social relations. The proposed research framework has been constructed from a combination of process mining concepts, multi-layered network modeling, network analyzing, and social theories. Such a combination in the conformance checking field is an original contribution of this study, not yet explored. Two simulated sample datasets in four different versions are applied for the evaluation. Furthermore, Friedman's statistical test is employed to proof of the research hypothesis and gain more confidence in the obtained results. The results indicate that, despite the structural mismatch of the social network with the activity network, social relations affect the formation of business interactions among human resources. This effect is also different for various flow types. Multi-layered network modeling demonstrates this difference.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Conformance Checking of the Activity Network with the Social Relationships Structure in the Context of Social Commerce

Esmaeili

Golpayegani

2020

J. theor. appl. electron. commer. res.

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Preliminary Insights into Social Commerce in the Fitness Industry of Ghana

Adevu¹,

Budu²,

Dzimey³

et al. 2020

IFIP Advances in Information and Communication Technology

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The purpose of this study is to explore how value is created for customers in the fitness industry using social commerce. The study employed a single case study by which data was obtained through a one on one structured interview. Data gathered was analyzed by employing an explanation-building analysis approach. The findings of the study revealed that the fitness instructor leverage on the affordances and features of social media tools he is familiar with to create value for his customers, by using Facebook live for training sessions, uploaded videos of customers and work-outs on Instagram, and WhatsApp status together with WhatsApp video call. The strategy deduced was proposed to be an ideal one for the fitness industry to use to create value for customers, in conformity to the critical case sampling technique

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