The Role of Perceived Utilitarian and Hedonic Value in Predicting Use of Location-Based Anonymous Social Networking Sites

Khandelwal, Priyanka; Gotlieb, Melissa R.

doi:10.30935/ojcmt/11114

Cited by 2 publications

(2 citation statements)

References 89 publications

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“…The main theory of this research is the Technology Acceptance Model (TAM) [25], TAM theory, the user's intention in using the system is related to 3 factors, namely PU, PEU, and ATU (attitude toward using). Furthermore, Mathieson [25] concluded that the three variables are the main determinants of whether the user will refuse or accept using the system [26]. A strong correlation between behavioral intention and perceived usefulness will determine the intention of using the system.…”

Section: Technology Acceptance Model (Tam)mentioning

confidence: 99%

The Development of a Web-Based Strategic Pricing Application to Support the Sustainability of Creative-Based SMEs

Zuhroh¹,

Sunardi²,

Muslikh³

et al. 2023

IJSDP

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This study analyzes the theoretical and practical effects of Perceived Usefulness and Perceived Ease of Use on Attitude Toward Using and Behavioral Intention to use the web-based pricing application Mersyprice, based on the Technology Acceptance Model theory. Mersyprice is a web-based application to support strategic pricing for Small and Medium Enterprises (SMEs) in the creative sector. Data was collected through an online Focus Group Discussion (FGD) using Zoom to introduce the use of Mersyprice in supporting strategic pricing for creative SMEs. Participants then completed a questionnaire using a Google form. Data analysis was carried out in 2 stages. The first stage, to answer theoretical objectives, Structural Equation Modeling was used. While the second stage, to answer practical purposes, the Analytical Hierarchy Process was used. The firststage of analysis showed that Perceived Usefulness and Perceived Ease of Use have a significant impact on Behavioral Intention to use the Mersyprice application via Attitude Toward Using it. Respondents considered that the "Ease of Use" variable was more important. The second stage of analysis revealed that 47% of creative SMEs intend to use Mersyprice, while 35% are considering using it. It can be concluded that Mersyprice is useful in supporting strategic pricing by creative sector of SMEs. For future research it is important to develop the Mersyprice in a more user friendly so that it can be used more widely.

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Section: Technology Acceptance Model (Tam)mentioning

confidence: 99%

The Development of a Web-Based Strategic Pricing Application to Support the Sustainability of Creative-Based SMEs

Zuhroh¹,

Sunardi²,

Muslikh³

et al. 2023

IJSDP

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“…The main vector of the research presented here is aimed to predict the real behaviour of a person through the features of his virtual activity in social networks (Hiranyachattada & Kusirirat, 2020;Khandelwal, & Gotlieb, 2021;Levina et al, 2019;Minakhmetova et al, 2017;Orekhovskaya et al, 2019;Owan et al, 2020;Piralova et al, 2020;Razumovskaya et al, 2018;Rubio et al, 2020;Yusupov, 2019). The markers are the metrics of the personal profile of a social network's user.…”

Section: Introductionmentioning

confidence: 99%

A Complex Neural Network Model for Predicting a Personal Success based on their Activity in Social Networks

Gafarov

Nikolaev

Ustin

et al. 2021

EURASIA J Math Sci Tech Ed

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The development and improvement of effective tools for predicting human behavior in real life through the features of its virtual activity opens up broad prospects for psychological support of the individual. The presence of such tools can be used by psychologists in educational, professional and other areas in the formation of trajectories of harmonious person's development.Currently, active research is underway to determine psychological characteristics based on publicly available data. Such studies develop the direction of "Psychology of social networks". As markers for determining the psychological characteristics of people, various parameters obtained from their personal pages in social networks are used (texts of posts and reposts, the number of different elements on the page, statistical information about audio and video recordings, information about groups, and others). There is a difficulty in obtaining and analyzing a data set this big, as there are non-linear and hidden relationships between individual data elements. As a result, the classic methods of information processing become inefficient. Therefore, in our work to develop a comprehensive model of success based on the analysis of qualitative and quantitative data, we use an approach based on artificial neural networks. The labels of the input records are used to divide the subjects of the study into five clusters using clustering methods (kmeans). In the course of our work, we gradually expand the set of input parameters to include metrics of users' personal pages, and compare the results to determine the impact of qualitative parameters on the accuracy of the artificial neural network. The results reflect the solution of one of the tasks of the research carried out within the framework of the project of the Russian Science Foundation and serve as material for an information and analytical system for automatic forecasting of human life activity based on the metrics of his personal profile in the social network VKontakte.

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The Role of Perceived Utilitarian and Hedonic Value in Predicting Use of Location-Based Anonymous Social Networking Sites

Cited by 2 publications

References 89 publications

The Development of a Web-Based Strategic Pricing Application to Support the Sustainability of Creative-Based SMEs

The Development of a Web-Based Strategic Pricing Application to Support the Sustainability of Creative-Based SMEs

A Complex Neural Network Model for Predicting a Personal Success based on their Activity in Social Networks

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