• Journal of the Korean Regional Science Association
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• v.39 no.4
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• pp.3-17
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• 2023

This study aims to comprehensively assess the phenomenon of structural unemployment, with a specific emphasis on unemployment resulting from spatial mismatch, while also exploring potential solutions. Spatial mismatch unemployment presents a unique challenge distinct from unemployment stemming from demand deficient, thus requiring a more multifaceted approach beyond the efforts of individual businesses and national economic recovery policy. To underscore the importance of addressing spatial mismatch, this research seeks to quantify its contribution to overall unemployment. Additionally, we evaluate the effectiveness of local labor markets, a prominent mechanism for alleviating spatial mismatch, categorized by occupation, to assess their effectiveness for addressing this issue. Through this analysis, our study advocates for the development of comprehensive policies within the realm of job-related initiatives, including spatial alignment through inter-regional collaborations, in conjunction with region-specific policies and strategies for job creation.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.191-199
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• 2015

The Journal of Digital Policy & Management. This space is for the abstract of your study in English. In this paper, we propose a u-convergence Tourist Information 3.0 System using Flow Theory. It generates a sense of u-challenge and u-skills to maximize the enjoyment of tourists is u-convergence Tourist Information 3.0. This is a challenge to good sense and adjust the rating of the Convergence Contents information quality(CCIQ) analysis to maximize the enjoyment of tourists. Convergence Contents information quality(CCIQ) of the conductive continuity of the content closed antecedents u-conductive sense, the tourist synchronization adequacy may generate data that can be analyzed. Content Information Quality of rating is the leading factor in the ability of the u-skill mastery of tourists, can generate data availability. The result is to create a meta-model is referred to as content information to reach the best quality maximize enjoyment. Design a sense of u-challenge the skill of the information quality of the tourist information content has the advantage of being able to identify the data formation has the pleasure of tourists. By applying to future national competent standard it is expected to maximize the enjoyment of the job.

• Journal of the Korean Society of Systems Engineering
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• v.6 no.2
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• pp.47-57
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• 2010

Taylor and Ford in the 1910s led to the "scientific management" for the entire industry from the manufacturing spread of TQM Total Quality Management has been structured as a management efficiency, such as 6-Sigma techniques were developed. SW development also introduces the idea, such as CMMI and SPICE-based process management, management practices have evolved. However, in recent years to increase the knowledge of workers in the manufacturing process oriented management approach is under serious challenge. Business performance or productivity will be varied depending all motivation, human relationship, job involvement rather than simply putting a lot of time. Especially in the SW industry which is depending on human resource, Creativity should be limited in traditional management methods. Recently, Google and Apple, Cisco and global advanced companies adopt a human relationship management. Their productivity and creativity in product development has been successful by giving autonomy and motivation, enthusiasm and vision to tile employees. Human relationship management since the mid-1990s, appears as a new paradigm so called Agile process in the field of SW development. Agile processes emphasis on light, flexible and responding to changes immediately in the business environment step away from traditional management approach which is the heavy and complicated process. In this paper, agile project management concepts and practices which is applied to industry will be examined.

• Asian Journal of Innovation and Policy
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• v.7 no.2
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• pp.310-337
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• 2018

Adoption of mobile learning (m-learning) is not new in Malaysian oil and gas industry, with heavy investment into research and development to train the workers. Nevertheless, the low application of learnt skills on the job remains an emergent research area where there is a missing link on the effects of m-learning and effective organisational learning and implication on its training transfer. The result of this quantitative research revealed that all variables in m-learning were found to have a positive relationship with the effective organisational learning, and there is evidence of training transfer as a mediator of the relationship between self-directed learning, training design, work environment and effective organisational learning. However, there were some discrepancies in the extend of training transfer between trainee characteristics and organisational learning. As such, some important issues emerged which challenge the importance of evaluating workers' readiness and transfer for a successful implementation of m-learning towards developing effective organisational learning.

• Journal of Families and Better Life
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• v.23 no.1 s.73
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• pp.65-84
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• 2005

In this study, I analyzed how wives experience their husbands' sudden loss of jobs. In-depth interviews were conducted with six married women whose husbands lost jobs. Each person was interviewed for 3 to 4 hours, between June and August 2003. The wives tended to see the husband as someone who gave them a hard time, yet whom they still had to rely on. In addition, the husband was another difficult problem that they had to deal with, because they had to watch the husband struggle to adjust following the distressing event. Some wives blamed themselves for the unemployment of their husbands and were pained for their husbands' adversity. The wives also had the challenge of taking up a job to support the family. Their marital life became tougher and more conflicts emerged. The wives often alienated their husbands from the rest of the family unintentionally, or attempted to break away from their husbands by leaving home. Yet, they returned home in the end, and tried to find hope, by taking a different perspective and looking at the bright side of life, by finding the value of her existence, through faith, and by reaffirming love for the husband and children.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.137-142
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• 2021

Machine-learning systems have proven their worth in various industries, including healthcare and banking, by assisting in the extraction of valuable inferences. Information in these crucial sectors is traditionally stored in databases distributed across multiple environments, making accessing and extracting data from them a tough job. To this issue, we must add that these data sources contain sensitive information, implying that the data cannot be shared outside of the head. Using cryptographic techniques, Privacy-Preserving Machine Learning (PPML) helps solve this challenge, enabling information discovery while maintaining data privacy. In this paper, we talk about how to keep your data mining private. Because Data mining has a wide variety of uses, including business intelligence, medical diagnostic systems, image processing, web search, and scientific discoveries, and we discuss privacy-preserving in deep learning because deep learning (DL) exhibits exceptional exactitude in picture detection, Speech recognition, and natural language processing recognition as when compared to other fields of machine learning so that it detects the existence of any error that may occur to the data or access to systems and add data by unauthorized persons.

• The Journal of Industrial Distribution & Business
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• v.13 no.11
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• pp.31-38
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• 2022

Purpose: Strategic management research and findings are usually not focused on dealing with concrete instruments for measuring individual competencies. The presence of traditional human resources management instruments, which include the aspects of job analysis, selection training, and even development, has been used frequently for many years in organizations. This study aims to investigate the relationship between employee reading habits and their innovativeness. Research design, data and methodology: The research methodology applied in this case is qualitative research methods. It is a method that involves the collection of data from non-numerical formats. The technique helped in understanding the relationship that exists between the reading habits of the employees and the competencies of innovation. Results: The present researchers figured out the meaningful connection between the independent variable (Reading Habit and dependent variable (Innovative Competency), explaining 'The Reason Why Employees Should Read More Books' and 'How Organizations Promote the Reading Habits of Employees'. Conclusions: It is clear that with reading habits among employees, innovation is easily achieved since these employees know their goals, how to achieve these objectives and overcome any challenge that might hinder innovation. Organizational management should work towards fostering positive reading cultures among employees in organizations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.11
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• pp.3619-3637
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• 2022

Big data analytics offers endless opportunities for operational enhancement by extracting valuable insights from complex voluminous data. Hadoop is a comprehensive technological suite which offers solutions for the large scale storage and computing needs of Big data. The performance of Hadoop is closely tied with its configuration settings which depends on the cluster capacity and the application profile. Since Hadoop has over 190 configuration parameters, tuning them to gain optimal application performance is a daunting challenge. Our approach is to extract a subset of impactful parameters from which the performance enhancing sub-optimal configuration is then narrowed down. This paper presents a statistical model to analyze the significance of the effect of Hadoop parameters on a variety of performance metrics. Our model decomposes the total observed performance variation and ascribes them to the main parameters, their interaction effects and noise factors. The method clearly segregates impactful parameters from the rest. The configuration setting determined by our methodology has reduced the Job completion time by 22%, resource utilization in terms of memory and CPU by 15% and 12% respectively, the number of killed Maps by 50% and Disk spillage by 23%. The proposed technique can be leveraged to ease the configuration tuning task of any Hadoop cluster despite the differences in the underlying infrastructure and the application running on it.

• Journal of Distribution Science
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• v.22 no.9
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• pp.73-84
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• 2024

Purpose: This study aims to comprehensively analyze what small business owners experience in relation to stressors, consequences, coping methods, and situational factors. Research design, data and methodology: In this study, qualitative research methodology was used to conduct in-depth interviews with 15 small business owners who started franchise convenience stores, and classify stressors and consequences, coping methods, and situational factors based on the transactional theory of stress. Results: The results of this study are as follows. First, stressors were classified into challenge stressor and hindrance stressor. Second, stress coping methods were classified into problem-focused and emotion-focused coping methods. Among them, SBOs mainly used problem-focused coping methods. Third, consequences were classified into physiological, emotional, and behavioral tension. Lastly, the moderating factorsin the process of stress coping were resilience, social support, and positive traits. Conclusion: Theoretically, the stressors and coping methods that small business owners experience during the start-up process were confirmed from an integrated theoretical perspective. Practically, building trust relationships with SBOs and providing realistic job introductions are required at the head office level, and on the individual side, efforts are required to strike an appropriate balance between behavioral and emotional stress coping and to form a consensus with family members.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.197-208
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• 2016

The study showed that directional Shared Leadership and transformational Shared Leadership positively influences the relationship between Shared Leadership and interpersonal relationships in the view of organizational wellbeing. In addition, in the relationship between Shared Leadership and rewarding job experience of organizational wellbeing, three leadership types excluding directional Shared Leadership had positive effects. In addition, transformational Shared Leadership and empowering Shared Leadership had a positive impact on the relationship between Shared Leadership and organizational mood of organizational wellbeing. In the relationship between Shared Leadership and a sense of fulfillment in the view of organizational wellbeing, transformational Shared Leadership only had a positive effect. As is the case with the sense of fulfillment, the transformational Shared Leadership, of and itself, positively influenced the relationship between Shared Leadership and leisure of life of organizational wellbeing. A analysis of the study showed that transformational Shared Leadership has an impact on both organizational wellbeing and personal wellbeing. Transformational Shared Leadership helps set up mutual vision or strategies, or to challenge each other to enhance existing processes and procedures. On the other hand, directional Shared Leadership influences the interpersonal relations only, whereas transactional Shared Leadership impacts rewarding job experience only. Presenting clearer ideas on what to do to each other and sharing the reward for performance implies that the members of an organization can feel much more rewarded through job engagement.