• Journal of Information Science Theory and Practice
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• v.6 no.1
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• pp.45-64
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• 2018

The global information economy is transforming the way people connect with each other, learn new things, and contribute to the knowledge society. With the online platform, library services have also expanded beyond face to face interaction. Although studies of virtual reference services have been made in different parts of the world, a case study discussing various forms of online reference engagement in Kazakhstan has not been written. While most of the theories on connectivism emphasize the context of instruction, the researchers of this paper discussed the tenets as they relate to online engagement. Applying the theory of connectivism, this paper explores through a mixed method the use of various online platforms to enhance engagement connecting library users to information. Findings revealed that differences in patterns of interactions as to platforms, types of queries, and users reveal that students, faculty, and other members of the academic community served by the library have various preferences for communication. The case study further showed that respondents have not maximized the use of VLS but interest in using both synchronous and asynchronous services is clear. Finding connections between sources of information, creating useful information patterns, is essential in learning. Amplifying awareness on the use of VLS giving emphasis to the unique features of each service is useful in order to enable students to see how this platform facilitates learning.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.119-135
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• 2022

Digital platforms play crucial roles in terms of enabling and sustaining online communities. However, who really benefits from digital platform development, and what are the benefits digital platforms provide for the development of smart communities. This paper explores this question, the goal was to understand the links between digital platforms and smart communities, using the clustering methodology process to have a better understanding of characteristic of each digital platform, Twenty nine digital platforms is clustered and used as a study case. This paper explores how the categorization of digital platform characteristics encourages participation by a smart community, thus improving information and service delivery. On another side, the rise of digital platforms brings new challenges for policy maker to foster a smart community and firms the digital platform also offer benefits to giving effective and efficient service.

• Journal of Distribution Science
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• v.22 no.4
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• pp.11-22
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• 2024

Purpose: This research delves into the various factors that influence the performance of restaurant businesses on social commerce platforms in Bangkok, Thailand. The study considers both internal and external factors, including but not limited to business characteristics and location. Moreover, this research also analyzes the effects of employing multiple social commerce platforms on business efficiency and explores the underlying reasons for such effects. Research design, data, and methodology: Restaurants can be classified into different price ranges: low, medium, and high. To further investigate, we employed natural language processing AI to analyze online reviews and evaluate algorithm performance using machine learning techniques. We aimed to develop a model to gauge customer satisfaction with restaurants across different price categories effectively. Results: According to the research findings, several factors significantly impact restaurant groups in the low and mid-price ranges. Among these factors are population density and the number of seats at the restaurant. On the other hand, in the mid-and high-price ranges, the price levels of the food and drinks offered by the restaurant play a crucial role in determining customer satisfaction. Furthermore, the correlation between different social commerce platforms can significantly affect the business performance of high-price range restaurant groups. Finally, the level of online review sentiment has been found to influence customer decision-making across all restaurant types significantly. Conclusions: The study emphasizes that restaurants' characteristics based on their price level differ significantly, and social commerce platforms have the potential to affect one another. It is worth noting that the sentiment expressed in online reviews has a more significant impact on customer decision-making than any other factor, regardless of the type of restaurant in question.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.285-301
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• 2023

Due to the increasing demand and importance of non-face-to-face education, open online learning platforms are getting interests both domestically and internationally. These platforms exhibit different characteristics from online courses by universities and other educational institutions. In particular, students engaged in these platforms can receive more learner autonomy, and the development of tools to assist learning is required. From the past, researchers have attempted to utilize process mining to understand realistic study behaviors and derive learning patterns. However, it has a deficiency to employ it to the open online learning platforms. Moreover, existing research has primarily focused on the process model perspective, including process model discovery, but lacks a method for the process pattern and instance perspectives. In this study, we propose a method to identify learning patterns within an open online learning platform using process mining techniques. To achieve this, we suggest three different viewpoints, e.g., model-level, variant-level, and instance-level, to comprehend the learning patterns, and various techniques are employed, such as process discovery, conformance checking, autoencoder-based clustering, and predictive approaches. To validate this method, we collected a learning log of machine learning-related courses on a domestic open education platform. The results unveiled a spaghetti-like process model that can be differentiated into a standard learning pattern and three abnormal patterns. Furthermore, as a result of deriving a pattern classification model, our model achieved a high accuracy of 0.86 when predicting the pattern of instances based on the initial 30% of the entire flow. This study contributes to systematically analyze learners' patterns using process mining.

• Journal of Distribution Science
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• v.21 no.1
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• pp.33-43
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• 2023

Purpose: The present study demonstrates the netnography technique to explore and understand crowds' perceptions on the donation distribution by charitable crowdfunding platform official social media, Facebook. Research design, data and methodology: This paper conducts a netnography design to examine the perceptions of online communities on four prominent charitable crowdfunding platforms' Facebook. A total of 93 comments are studied by collecting and analyzing their comments thematically. Results: This study illustrates two main themes which are 'Recommended Review' and 'Non-Recommended Review'. 'Recommended Review' can be explained into six sub-themes which are 'Role of Religion', 'Encouragement to Donate', 'Platform Reliability', 'Volunteering Value', 'Platform Support', and 'Donation Convenience'. While 'Non-Recommended Review' reveals that 'Rejected Donation Amounts', 'Rejection of Advertisements', and 'Review by Authorities'. Conclusion: Online community comments play an important role in providing input to the experience of donating through charitable crowdfunding. The crowdfunding platform can make a benchmark for the services offered. The comments are needed to be given attention by maintaining the interaction between the platform and donors to recruit new donors and maintain existing donors. This study provides better understanding on online community perception towards charitable crowdfunding platforms. This study also contributes the discussion on charitable crowdfunding and online marketing literatures.

• Korean Association of Arts Management
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• no.56
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• pp.329-348
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• 2020

Under quarantine policies related to the Coronavirus, museums have closed or started limited operations. Currently, museums are trying to adapt to the untact situation, while maintaining the museum's original function and communicating with visitors through online platforms. This paper first analyzes the operation status of domestic and foreign museums under untact situations and the operation status of online platforms. In order to reconsider the publicity of the museum, the definition of the museum by ICOM and Hannah Arendt's concept of publicity should be examined. Through this, the importance of the function of public art museums in forming democratic discourse and awakening community could be developed. To this end, first, public forum to discuss the quarantine policy of museums should be developed. Second, local and central governments should support museums financially. Finally, the online platforms of the museum should be more activated. Despite the untact situation of the museum, the publicity of art museums must be addressed in order to discuss the community's difficulties democratically.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.630-646
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• 2022

This study examines online art platforms as a new type of informational technology and seeks to verify the impact of the user's perceived value and acceptance of new technologies on the behavioral intention about art platforms. For this, it was conducted to survey 489 users of the online art platform. Several emotional value, functional value, social value, and value for money were selected as perceived value variables, and performance expectancy, effort expectancy, and facilitating conditions were set as variables of new technology adaptation. As evident in the correlation with perceived values, emotional value and social value have a significant impact on all parameters of new technology adaptation, while functional values and value for money only affect facilitating conditions and behavioral intention, respectively. Furthermore, the impact of acceptance of new technologies confirms that performance expectancy and facilitating conditions affect behavioral intention. This study demonstrates the perceived value of online art platform users and the acceptance of new technologies. Therefore, it is expected that platform providers will be able to use it as primary data to understand and reflect user requirements.

• KDI Journal of Economic Policy
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• v.45 no.3
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• pp.49-73
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• 2023

This study examines the usage status of legal services provided by lawyers targeting domestic consumers and investigates empirically how much online platforms that facilitate lawyer search and consultation can increase consumers' utility, and how much the lawyer legal service market will expand through this. To this end, this study applies a discrete choice demand model to the data collected through a conjoint survey to estimate the value of the lawyer search and consultation platform perceived by consumers, and estimates the effectiveness of the platform in expanding the market for lawyer legal services through a simulation method. As a result of the analysis, the relative value that consumers place on finding and consulting a lawyer using the online platform instead of being introduced to a lawyer by an acquaintance or searching for a lawyer offline is estimated to be about 70,414 won. It was found that the existence of lawyer search and consultation platforms could increase the market size of legal services by as little as 18.9% to as much as 70.2%. In particular, the platforms are expected to increase the accessibility of legal services to vulnerable groups.

• Journal of Information Technology Services
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• v.19 no.1
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• pp.129-144
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• 2020

Recent advances in digital purchase platforms allow consumer to easy to access online purchase, but the online purchase systems often occurs a negative situations such as service failure. When customer experiences negative service, they want to communicate with the company online chatting service. But not much is known about how customers online chatting service's contextual cues effectiveness. So, the current research seeks to examine the effects of type of online chatting service interface and company market status on customers' perception of service quality and satisfaction with online chatting services. The results of two studies show that, when customer experienced negative online service, they expected to a high status (vs a low status) company had offered better service. but their service request are not met, customers perceive better service quality if served by a low status (vs high status) company represented by a logo (vs. an emoji). These findings will help marketing practitioners strategically how design their chatting service interface according to the their status when they communicate with customer who experienced negative service.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.145-152
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• 2022

One of the impacts of Covid-19 on education systems has been the shift to online education. This shift has changed the way education is consumed and perceived by students. However, the exact nature of student perception about online education is not known. The aim of this study was to understand the perceptions of Saudi higher education students (e.g., post-school students) about online education during the Covid-19 pandemic. Various aspects of online education including benefits, features and cybersecurity were explored. The data collected were analysed using statistical techniques, especially artificial neural networks, to address the research aims. The key findings were that benefits of online education was perceived by students with positive experience or when ensured of safe use of online platforms without the fear cyber security breaches for which recruitment of a cyber security officer was an important predictor. The issue of whether perception of online education as a necessity only for Covid situation or a lasting option beyond the pandemic is a topic for future research.