• The Journal of Information Systems
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• v.32 no.2
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• pp.25-43
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• 2023

Purpose In online delivery platforms, platform workers are required to perform both platform labor, which is compensated with immediate wages, and shadow work which is a kind of unpaid job to support the platform labor. Thus, the objective of this study is to empirically examine how platform workers' platform labor and shadow work affect their job burnout and their turnover intention in the online delivery platform context. Design/methodology/approach This study developed a research model by employing platform labor and shadow work to influence job burnout and turnover intention. This study also tested the model by partial least square techniques after collecting 169 cross-sectional data from food delivery riders in Korea. Findings This study found that both platform labor and shadow work affected platform workers' job burnout. In addition, the results showed that shadow work influenced their turnover intention while platform labor did not affect the turnover intention. Based on the results, this study contributed to relevant researchers who are interested in platform contexts by offering measurable constructs on platform labor and shadow work. In addition, this study could provide practitioners with practical implications on managing platform workers.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.3
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• pp.11-24
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• 2016

The purpose of this study is to develop a recruiting platform resolving the mismatch between corporate job and job finder's competence in recruitment market. For this, we investigated technological trends and limitation on recruit platform. Based on the findings, this study investigates the trends and directions related to recruiting platform evolution and identified critical success factors and development strategies for successful development of recruiting platform. Two development strategies include employment of online resume and construction of database assessing job finder's competence. We also proposed target system architecture incorporating job database, competency assessment form, capability oriented resume. To analyze user requirement national competency standards and core job capability evaluation model were analyzed. Next, we designed integrated database, user interfaces, and dynamic functionalities using the forms developed in earlier stage. Finally, we assessed the fidelity of form item, integrity of database, and the usability of interface to evaluate the effectiveness of the system.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.1-13
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• 2021

The purpose of this research is to analyze how the wage level of new job seekers in the platform labor market affects the period on getting the first job. Recently, the platform gets attention as one of alternatives to solve the increase of unemployment rate. It is important to create quality jobs that we build up a trust between employers and employees in the platform. Previous studies showed that feedback from previous employers is important for solving the information asymmetry problem between those people. However, there is no feedback for new job seekers who have not get the first job. Therefore, we focus on the fact that wages are presented by job seekers rather than employers in the platform, and we will figure out that the low wages of new job seekers may affect the shortening of job-hunting period. For this reason, we use 3,704 job seekers of Freelancer.com. Survival analysis shows that low wages for new job seekers have a significant impact on shortening job-hunting period.

• Convergence Security Journal
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• v.21 no.3
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• pp.75-80
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• 2021

This study provided personnel and recruitment information related to job offer and job hunting, and proposed a non-face-to-face platform that can facilitate matching of one-time services as well as periodic services. The existing recruitment and job search method for personal assistant of the disabled is a one-way matching method in which a person in charge of the service providing centers assigns an activity assistant belonging to the institution when a consumer requests an personal assistant service, so the choice of job seekers is very weak. The job matching platform of the activity assistant for the disabled can be logged in separately by dividing users and separating them into the interface of the disabled or the disabled family members (job seekers) and activity assistants for the disabled (job seekers). Search for job offer and job seekers that meet their respective conditions, and real-time bidirectional decision-making through the chat function, and when the activity assistance service is completed, recruiters and job seekers can write service reviews and evaluations from their own point of view. The real-time interactive decision-making matching platform will also help minimize blind spots where it is difficult to provide services when short-term or one-time assistance is needed.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.167-174
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• 2016

The university and college turn into the field of job readiness to get a good job and students build a lot of job specification than others and are constantly studying for employment. Then since employment, some people are fortunate to keep the job for lifetime, but for many people work in the workplace did not meet his aptitude with patience and some people move for work several times without perseverance. One of the reasons for job dissatisfaction is that the job does not fit his aptitude. Meantime many organizations conducted the aptitude(Psychology) test. There are limits, however, to find a suitable job. This study was presented as a model of a platform that is a rational and scientific alternative to search course and job. This model is to better understand the individual characteristics using Big data and artificial intelligence, offers several jobs to meet the characteristics among the various professions selectively and supports to select and design an appropriate job based on the field experience, consulting and mentoring.

• Korean small business review
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• v.43 no.1
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• pp.35-50
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• 2021

The youth job problem is becoming more serious due to COVID-19. To solve this problem, a "good job platform" was proposed that allows young job seekers to easily and conveniently find excellent SMEs they want to work for. This study developed a "good job self-assessment model" that grasps the preferred jobs of young job seekers and evaluates SMEs and applied them in the platform. In this process, the characteristics of good jobs from the viewpoint of job seekers were identified through conjoint analysis from the viewpoint of salary level, performance compensation, working environment, corporate soundness, and organizational culture. Next, the importance of 13 detailed evaluation items was reflected through AHP for industry, academia, and research experts. The self-assessment model of this study can be used as a tool to improve awareness that changes the SME environment into a job favored by young job seekers. As a result, it could provide an opportunity to change the job problem from providing cost-oriented support to a qualitative solution.

• Journal of Platform Technology
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• v.10 no.3
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• pp.69-78
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• 2022

Job offer and job search data related to employment are in the form of highly-unstructured texts that occur in real-time, NCS duty, learning modules, and job dictionaries. Job announcements and training information have a high data value amid changes in industrial technology, such as the Fourth Industrial Evolution. This study developed a job data dictionary by defining relevant data to intuitively understand and harness information on job offers and job searches. This study also designed, constructed, and evaluated a data map based on ontology to enable linking and inferring data about public announcement-job-training. Through this, it was found that the inference function centered on work ability enables QoS support that can satisfy users by minimizing mismatch between consumers and optimizing the data dictionary.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.7
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• pp.2434-2454
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• 2021

This paper developed the software testing factory-cloud testing platform (STF-CTP) to address the software compatible issues in various smart devices. Software developers who only require uploading the application under test (AUT) and test script can test plenty of smart devices in STF-CTP. The challenge for the cloud test platform is how to optimize the resource and increase the performance in the limited resource. This paper proposed a new scheduling mechanism and a new process of the system operation which is based on the OpenStack platform. We decrease about 40% memory usage of OpenStack server, increase 3% to 10% Android device usage of STF-CTP, enhance about 80% test job throughput and reduces about 40% test job average waiting time.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.5
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• pp.493-506
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• 2018

This paper proposes the OOPP(Optimized Online Portfolio Platform) design for the job seekers to search for the job competency necessary for employment and to write and manage portfolio online efficiently. The OOPP consists of three modules. First, JDCM(Job Data Collection Module) stores the help-wanted advertisements of job information sites in a spreadsheet. Second, CSM(Competency Statistical Model) classifies core competencies for each job by text-mining the collected help-wanted ads. Third, OBBM(Optimize Browser Behavior Module) makes users to look up data rapidly by improving the processing speed of a browser. In addition, The OBBM consists of the PSES(Parallel Search Engine Sub-Module) optimizing the computation of a Search Engine and the OILS(Optimized Image Loading Sub-Module) optimizing the loading of image text, etc. The performance analysis of the CSM shows that there is little difference in accuracy between the CSM and the actual advertisement because its data accuracy is 99.4~100%. If Browser optimization is done by using the OBBM, working time is reduced by about 68.37%. Therefore, the OOPP makes users look up the analyzed result in the web page rapidly by analyzing the help-wanted ads. of job information sites accurately.

• Journal of Distribution Science
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• v.19 no.11
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• pp.91-98
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• 2021

Purpose: With the interest and ability in recruitment, it is totally worthy to discover how is labor market developed in Vietnam since the existence of the Internet. Considering employers as well as recruiters similar to jobseekers in term of technology adoption of job distribution, they should be treated fairly while performing their scopes of work. This paper aims to explore how employers perceive online recruiting platform as a supportive system, and this is to find out contributions of external factors regarding Job Boards behavioral intention to use. Research design, data and methodology: Conceptual framework tests the hypotheses involving in recruitment websites. Results: The results suggest that Board of Directors (BoD) or direct middle managers need to pay more attention on how their workforce performs through various channels of recruitment - both formal and informal, such as Linkedin or Facebook rather than a few compulsory job boards - no longer being accessed with high performance expectancy. However, the technology adaptation of recruitment is still a controversial issue due to its access to privacy of users. Conclusion: Therefore, employers should be more careful on how their personal contacts are going to be delivering without consent. Secondly, keeping systems up to date and "connected" is essential for both employees and employers.