A Novel Method for Discovering Process Based on the Network Analysis Approach in the Context of Social Commerce Systems

Wasiuzzaman, Shaista; Lee, Chong Lee; Boon, Ong Hway; Chelvam, Hemalatha Pannir

doi:10.4067/s0718-18762021000200105

Cited by 7 publications

(5 citation statements)

References 33 publications

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“…In other words, a market valuation of projects is achieved through the business model implemented by the SMEs and related to CF. Market valuation is characterized by consideration of risk and potential future growth opportunities, which is consistent with investment theory [35,92]. Higher valuation is for projects whose potential, in the opinion of investors, is greater and their usefulness is greater from a social point of view (this is also the case in the stock market) as well as for investors [93,94].…”

Section: Discussionmentioning

confidence: 66%

Model of Value Transfer in Crowdfunding and Sustainable Development of Small and Medium-Sized Enterprises in Poland—Based on Survey Research

Kukurba,

Salwin,

Waszkiewicz

2023

Sustainability

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This paper presents the results of a survey of small and medium-sized enterprises (SMEs) in Poland that have benefited from crowdfunding (CF). Based on these results, a new business model was developed. On this basis, the CF equity, reward and donation models were analyzed, and the impact of CF on the way of creating value in the company in the context of sustainable development was determined. The survey results show that the use of CF promotes the sustainable development of SMEs in Poland and significantly impacts their business model. In practical terms, this research has contributed to a better understanding of value creation by these companies. The results of our analysis are useful for consulting companies and CF platforms that help SMEs organize campaigns. In theoretical terms, the study conducted and the methodology used allow the presentation of a new definition of CF and a sustainable business model for a company using CF as well as contribute to the value management theory in SMEs.

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Section: Discussionmentioning

confidence: 66%

Model of Value Transfer in Crowdfunding and Sustainable Development of Small and Medium-Sized Enterprises in Poland—Based on Survey Research

Kukurba,

Salwin,

Waszkiewicz

2023

Sustainability

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“…These techniques can be modified to locate precise or approximative patterns or to recognize motifs with variable or constant lengths. They may run in an off-line or online mode and handle multivariate or univariate time series [117].…”

Section: Discussion and Recommendationsmentioning

confidence: 99%

“…The Euclidean distance metric is extremely susceptible to noise and distortion and is unable to deal with one of the components being compressed or extended. As a result, this method is unreliable, especially when determining how similar two time-series with differing slightly different are [116][117][118] published a detailed study of time-series measurements, dividing them into four groups:…”

Section: Evaluation Metricsmentioning

confidence: 99%

Driver Behavior Detection in Time Series Decade review

Saber,

Ghoniemy,

Al-Qutt

2023

IJICIS

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Driver's behavior is expressed by the intentional and unintentional actions the driver performs while driving a motor vehicle. This behavior could be influenced by several factors such as fatigue, drowsiness, vehicle surroundings, and distraction state. Driver's behavior could be normal, risky or aggressive. Risky and aggressive behaviors, such as harsh braking and rapid acceleration, can lead to traffic accidents. Monitoring, analyzing and improving driver's behavior can reduce traffic collisions and enhance road safety. Different approaches have been followed for the detection and identification of driver's behavior. Rule-based Machine learning (ML) and deep learning (DL) approaches have succeeded to mine dynamical characteristics of time series. However, they have some challenges that make them unsuitable for many classification tasks including the selection of efficient architectures and corresponding hyper-parameters, as well as slow training and limited labeled data. Fusion and attention mechanisms through hybrid approaches were found to be more suitable for time series sensor data analysis. Transfer learning addresses useful approaches for making use of learning applied to other applications. Maneuver detection represents a serious characteristic of driver's behavior identification. A recent approach for extracting maneuvers from high-frequency telematics data is through time series motifs detection algorithms. Motifs extraction is preferred over ML and DL approaches as it does not requie labels, which is extremely time-consuming to collect. This work focuses on the latest techniques for classifying driver's behavior in time series data, and summarizes the pros and cons of the different categories.

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“…Regarding the Map metamodel formalism, MMM may generate Map process models with various levels of abstraction. [32] studied the use of network analysis techniques and graph theory to understand the process through social commerce platforms. In addition to the fundamentals of network analysis, the suggested approach also models multi-layered networks, detects communities, attributes networks and applies motifs identification and analysis.…”

Section: ) Forming Intention Modelmentioning

confidence: 99%

An Intensive Spectrum for Intention Mining Analysis

Varsha D. Jadhav

2023

IJRITCC

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There is huge volume of data in the social networks. This data can be retrieved and integrated to extract useful meaning and come out with the insights which is called as intentions. This can be used in different fields like business, recommender systems, education, Scientific research, games, etc. Also, there are various intention mining techniques which can be applied to several fields as information retrieval, business, etc. There is no specific definition of intention mining and also there is very less existing literature present. Accordingly, there is need to conduct systematic literature review of the very recent research area. Understanding intention mining, purpose of intention mining, categories and techniques of intention mining is the need. The paper endorses a spectrum for intention mining so that further literature review of intention mining can be completed. We validate our work through dimensions, categories and techniques for intention mining.

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A Novel Method for Discovering Process Based on the Network Analysis Approach in the Context of Social Commerce Systems

Cited by 7 publications

References 33 publications

Model of Value Transfer in Crowdfunding and Sustainable Development of Small and Medium-Sized Enterprises in Poland—Based on Survey Research

Model of Value Transfer in Crowdfunding and Sustainable Development of Small and Medium-Sized Enterprises in Poland—Based on Survey Research

Driver Behavior Detection in Time Series Decade review

An Intensive Spectrum for Intention Mining Analysis

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