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The Role of ICT and Local Wisdom in Managing Work-Life Balance During the COVID-19 Pandemic: An Empirical Study in Malaysia

  • KUSAIRI, Suhal;MUHAMAD, Suriyani;RAZAK, Norizan Abdul;TRAPSILA, Aji Purba
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.9
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    • pp.321-331
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    • 2021
  • This study examines the impact of Information and Communication Technology (ICT) and the role of Malaysian local wisdom called "Ugahari" in managing Work-Life Balance (WLB) during the COVID-19 pandemic in Malaysia. Data was obtained through online and offline surveys which were distributed to the agencies in the public and private sectors spread across Kuala Lumpur, Selangor and Pura Jaya. Overall 466 respondents were found to have given valid and complete responses. This research utilized the Partial Least Squares Structural Equation Modelling. It was found that the use of the ICT during Work from Home (WFH) helped workers to have relatively high flexibility where they could easily expand or contract one domain to meet the demands of another domain. At the same time it also offered high permeability where aspects of one domain entered another domain. This encourages workers to integrate their roles and achieve broad work autonomy. Furthermore, this situation then gives rise to a high level of interference at the boundary between work and family domains. On the other hand Ugahari reduces the level of interference caused by ICT use and encourages workers to compartmentalize their respective roles. Thus, ICT and Ugahari's behavior can play a role and complement each other in the context of realizing worker well-being.

Effect of Ammonium Persulfate Concentration on Characteristics of Cellulose Nanocrystals from Oil Palm Frond

  • ZAINI, Lukmanul Hakim;FEBRIANTO, Fauzi;WISTARA, I Nyoman Jaya;N, Marwanto;MAULANA, Muhammad Iqbal;LEE, Seung Hwan;KIM, Nam Hun
    • Journal of the Korean Wood Science and Technology
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    • v.47 no.5
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    • pp.597-606
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    • 2019
  • Cellulose nanocrystals (CNCs) were successfully isolated from oil palm fronds (OPFs) using different concentrations of ammonium persulfate (APS), and their characteristics were analyzed by Fourier transform infrared spectroscopy (FTIR), transmission electron microscopy (TEM), X-ray diffraction (XRD) analysis, and thermogravimetric analysis (TGA). APS oxidation effectively isolated CNCs with rod-like morphology in nanometer scale. The dimensions of the CNCs decreased with increasing APS concentration. FTIR and XRD analyses revealed that all the CNCs showed crystals in the form of cellulose I without crystal transformation occurring during APS treatment. The relative crystallinity of the CNCs increased with increasing APS concentration, whereas their thermal stability decreased. An APS concentration of 2 M was found to be optimal for isolating the CNCs.

A Task Scheduling Strategy in Cloud Computing with Service Differentiation

  • Xue, Yuanzheng;Jin, Shunfu;Wang, Xiushuang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.11
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    • pp.5269-5286
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    • 2018
  • Task scheduling is one of the key issues in improving system performance and optimizing resource management in cloud computing environment. In order to provide appropriate services for heterogeneous users, we propose a novel task scheduling strategy with service differentiation, in which the delay sensitive tasks are assigned to the rapid cloud with high-speed processing, whereas the fault sensitive tasks are assigned to the reliable cloud with service restoration. Considering that a user can receive service from either local SaaS (Software as a Service) servers or public IaaS (Infrastructure as a Service) cloud, we establish a hybrid queueing network based system model. With the assumption of Poisson arriving process, we analyze the system model in steady state. Moreover, we derive the performance measures in terms of average response time of the delay sensitive tasks and utilization of VMs (Virtual Machines) in reliable cloud. We provide experimental results to validate the proposed strategy and the system model. Furthermore, we investigate the Nash equilibrium behavior and the social optimization behavior of the delay sensitive tasks. Finally, we carry out an improved intelligent searching algorithm to obtain the optimal arrival rate of total tasks and present a pricing policy for the delay sensitive tasks.

The Effect of Intellectual Capital and Financial Services Knowledge on Financial Inclusion

  • ILAHIYAH, Mar'a Elthaf;SOEWARNO, Noorlailie;JAYA, I Made Laut Mertha
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.247-255
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    • 2021
  • The study aims to determine the influence of intellectual capital and education on public financial services in increasing financial inclusion. This study applied a survey technique by selecting respondents according to the purposive sampling method. The number of respondents in this study was 500 people and came from various regions in Indonesia. Data analysis was performed using Structural Equation Modeling (SEM) techniques. The results indicate that intellectual capital has a positive effect on financial inclusion. Conversely, education about public financial services has no influence in increasing financial inclusion. The results of this study indicate that the success of financial inclusion programs in Indonesia is caused more by the role of public intellectual capital. Studies show that the public does not have the courage to be involved in banking institutions because the image of this institution tends to be inflexible in its operations. The results of this study are expected to make a real contribution, especially for the government and banks, that in order to achieve the success of the financial inclusion program in Indonesia; the related parties should educate the public directly to citizens who have not been reached by banking services continuously and with a more down to earth approach.

Optimum design of cantilever retaining walls under seismic loads using a hybrid TLBO algorithm

  • Temur, Rasim
    • Geomechanics and Engineering
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    • v.24 no.3
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    • pp.237-251
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    • 2021
  • The main purpose of this study is to investigate the performance of the proposed hybrid teaching-learning based optimization algorithm on the optimum design of reinforced concrete (RC) cantilever retaining walls. For this purpose, three different design examples are optimized with 100 independent runs considering continuous and discrete variables. In order to determine the algorithm performance, the optimization results were compared with the outcomes of the nine powerful meta-heuristic algorithms applied to this problem, previously: the big bang-big crunch (BB-BC), the biogeography based optimization (BBO), the flower pollination (FPA), the grey wolf optimization (GWO), the harmony search (HS), the particle swarm optimization (PSO), the teaching-learning based optimization (TLBO), the jaya (JA), and Rao-3 algorithms. Moreover, Rao-1 and Rao-2 algorithms are applied to this design problem for the first time. The objective function is defined as minimizing the total material and labor costs including concrete, steel, and formwork per unit length of the cantilever retaining walls subjected to the requirements of the American Concrete Institute (ACI 318-05). Furthermore, the effects of peak ground acceleration value on minimum total cost is investigated using various stem height, surcharge loads, and backfill slope angle. Finally, the most robust results were obtained by HTLBO with 50 populations. Consequently the optimization results show that, depending on the increase in PGA value, the optimum cost of RC cantilever retaining walls increases smoothly with the stem height but increases rapidly with the surcharge loads and backfill slope angle.

The Effects of Strategic Planning, Human Resource and Asset Management on Economic Productivity: A Case Study in Indonesia

  • SARA, I. Made;SAPUTRA, Komang Adi Kurniawan;UTAMA, I Wayan Kartika Jaya
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.381-389
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    • 2021
  • This study aims to examine the effect of strategic planning, human resource management, and asset management on increasing the productivity of the rural economy. This research is a quantitative approach. The research sample was carried out by simple random sampling and data collection using a questionnaire so that 129 respondents were determined. The research test was conducted using multiple linear regression with the OLS (Ordinary Least Square model. The results obtained were that strategic planning, human resource management, and asset management had a significant positive effect on increasing the productivity of the rural economy. This shows that strategic planning is the most important thing in industry, companies, or organizations as a guideline to achieve optimal performance. In addition, human resource management and asset management are positive supports for increasing the economic productivity of rural communities to achieve welfare goals. This research proves that strategic planning must be carried out by considering the existing potential, both sources. natural resources, human resources, and economic resources Meanwhile, human resource management and asset management are mandatory to support the sustainability of an organization or company so that the benefits of the study as study material in strategic decision making, both in business and public policy.

Knowledge Sharing Behavior in Indonesia: An Application of Planned Behaviour Theory

  • NEGARA, Danes Jaya;FERDINAND, Ferdinand;MEITIANA, Meitiana;ASTUTI, Maria Haryulin;ANDEN, Trecy;SARLAWA6, Rita;MAHRITA, Ani
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.1053-1064
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    • 2021
  • The objective of this research is to empirically study public servant knowledge sharing intention by implementing the Theory of Planned Behavior (TPB) of the Sustainable Development Goals (SDGs). The researcher proposes an extended TPB combined with a perceived environmental concern variable as a determinant of behavioral intention. A total of 150 questionnaires were distributed among civil society and the public sector at the district level in the Central Kalimantan Province of Indonesia. Collectively, 126 inquiries were received. A Partial Least Squares (PLS) analysis was applied to analyze and test the research model and hypothesis. The results show that all of the components of the TPB significantly influenced perceived SDG realization. The findings also partially show that knowledge sharing intention mediated the effect of attitude, perceived behavioral control, and perceived environmental concern on SDG realization. This study confirms that perspectives that affect knowledge sharing intention among public sectors could be approached based on the offered model. Hence, the local government can implement the suggestion offered in this research. The originality of this paper lies in the fact that this study discloses factors affecting knowledge sharing among public servants.

Advanced Characterization Techniques of Organic Matter in Aqueous Solutions (물 속 유기물의 고도 특성 분석)

  • Shon, Ho Kyong;Vigneswaran, Saravanamuthu;Kandasamy, Jaya;Kim, Jong Beom;Kim, Jong-Ho
    • Applied Chemistry for Engineering
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    • v.22 no.1
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    • pp.1-14
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    • 2011
  • Water is the most precious resource to human being, but it is polluted by different organic compounds. Organic matter (OM) in aqeous solutions is one of the important parameters of concern for human and environmental impact, and thus, it is essential to better characterize specifically targeted organic matter in aggregated and individual level of concentrations. This review presents different analytical tools and protocols to investigate detailed properties and characterization. Physical, chemical and biological aspects of OM are envisaged in terms of traditional and advanced measurement methods.

Perceptions of Moral Intensity and Professional Commitment Towards Intention to Whistleblowing: Empirical Evidence from Malaysian Public Sector Organisations

  • MOHD ZEAMLEE, Siti Nurain;ALI, Mazurina Mohd;HASNAN, Suhaily
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.6
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    • pp.53-67
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    • 2022
  • The study's goal is to look at the factors that influence people's willingness to whistleblow in the Malaysian public sector by applying two elements from the Moral Intensity Theory: the magnitude of consequences and societal consensus with professional commitment as an additional variable. The cross-sectional study used primary data collection through questionnaires adopted from previous studies. The survey questionnaires were distributed to target respondents from 27 ministries in Malaysian public sectors selected based on their grade positions in the departments ranging from Grade 29 and above. The findings revealed that societal consensus and professional commitments significantly impact the intention to whistleblow. The findings imply that closed people's opinions may have certain persuasive elements that influence the act of whistleblowing as a moral and ethical activity, thereby increasing their whistleblowing intention. The results also suggest that when individuals are more committed to their career and organization, they will act ethically and under the professional norm, hence, they will be inclined to whistleblow. On the other hand, the magnitude of consequences suggested an insignificant relationship with the intention to whistleblow. The results could facilitate the government in curbing the whistleblowing issue by defining its root before the implementation of necessary policies.

The Distribution Role of Entrepreneurship Mindset and Task Technology Fit: An Extended Model of Theory of Planned Behavior

  • RUSTIANA, Yohana;MOHD, Othman bin;MOHAMAD, Norhidayah binti
    • Journal of Distribution Science
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    • v.20 no.5
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    • pp.85-96
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    • 2022
  • Purpose: This study aims to dissemination a new concept based on empirical research on enhancing entrepreneurship intention (EI) in the theory of planned behavior (TPB) through entrepreneurship mindset (EM) and task technology fit (TTF). The TTF is a moderating variable in strengthening the relationship between EM and EI. Research design, data, and methodology: This research design was quantitative research. The respondents were 202 students from Malaysia and Indonesia who had filled out and collected an online questionnaire in Microsoft form. Three hypotheses examined the direct influence and the indirect impact of EM on EI through antecedent variables of TPB, and the effect of TTF as moderating variable to enhance the relationship between EM and EI. The data was analyzed using the WarpPLS version 7.0. Results: The result showed that EM had a significant impact on the students' EI. The interaction of EM and TTF was significantly able to improve EI. Conclusions: The findings contributed new ideas to develop the theoretical framework of the TPB model and were able be utilized by lecturers to consider the integration of EM and TTF in the model. The novelty of this study elaborated the EM and TTF variables as an extended model of the TPB.