The Role of Absorptive Capacity on Business Perform-ance in Distribution of Creative Industry

Muh. Indra Fauzi ILYAS(Muh. Indra Fauzi ILYAS ),Djabir HAMZAH(Djabir HAMZAH ),Sumardi SUMARDI(Sumardi SUMARDI ),Abdullah SANUSI(Abdullah SANUSI ) 한국유통과학회 2023 유통과학연구 Vol.21 No.3

Purpose: This study discusses the creative industry phenomenon which has different business characteristics both from resources and production processes to distribution. The study intends to analyze the effect of entrepreneurial orientation and market orientation on business performance by using absorptive capacity as a mediator. Research design, data, and methodology: Using the quantitative method, data were collected from 97 respondents, who are managers or owners of creative industry businesses in Makassar City, South Sulawesi, Indonesia. Data analyzed used Partial Least Square - Structural Equation Model. Results: The results of this study reveal that entrepreneurial orientation has no significant effect on business performance and has indirectly a trough absorptive capacity. Market orientation has a significant effect on business performance and indirectly through absorptive capacity. Another result is that absorptive capacity has a significant effect on business performance. Conclusions: When absorptive capability stresses the assimilation and exploitation of knowledge and market intelligence that has been learned to boost business performance improvements, market orientation and entrepreneurial orientation offer knowledge and experience to business processes including the creation of value distribution in the creative industries.

A Profit-Based Model of Integrated Inventory-Production (IPP) Considering Imperfect Quality: A Case Study of Indonesian Food Manufacturing Industry

Ilyas Masudin,Yudha Firmansyah,Dana Marsetiya Utama,Dian Palupi Restuputri,Evan Lau 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.3

This study aims to control several decision variables, namely the frequency of ordering raw materials (m), the frequency of delivery of finished products (n), and the production cycle time (T) to maximize the total profit per unit time of the inventory-production integration system. The method used for this study is the optimization of mathematical models with non-linear equations. To optimize the model used MATLAB software by utilizing a genetic algorithm (GA) tool. The output of this research is the proposed policy in managing inventory-production. The results of numerical calculations show that the research model policy provides a better total profit than the company’s policies. This research develops the integrated inventory-production (IIP) model considering imperfect quality (products return). Model performance is measured based on the total profit of the inventory-production integration system

Impacts of Contractual Rights' Assignment on Arbitration Agreements

Ilyas Golcuklu 한국중재학회 2024 중재연구 Vol.34 No.3

This article discusses the legal and practical problems arising from the assignment of contractual rights and obligations, with particular emphasis on binding nature of arbitration agreements for assignees. By considering the needs and risks of international commercial relations, it is true that arbitration is the most suitable mechanism to solve such legal disputes. However since, as all contracts do, arbitration clauses or arbitration agreements also derive their validity from parties’ mutual consent one should be extra cautious while determining their validity and bindingness against assignees or other third parties in general. This study analyzes impacts of contract’ assignments on validity of arbitration as a dispute resolution mechanism against assignees in a comparative way and in light of recent judicial decisions from various jurisdictions. Arbitration as a contractual right is also subject to transfer of underlying contract. Since arbitration clause is separate from validity of main contract due to separability doctrine, the author underlines that it should be arbitral tribunal itself to decide on validity of transfer and whether transferee has right to initiate arbitration against debtor in light of kompetenz- kompetenz doctrine. In that regard privity of contract should not be used as an excuse to invalidate arbitration clause stipulated in the underlying contract upon the transfer. This study examines both court cases and arbitral awards in a comparative approach to support this dominant view. Thus, it concludes that arbitration clause is directly related to the right to sue under dispute resolution clauses of contracts, so it should be deemed as an accessory of the assigned contractual right.

Integration of microbial and chemical processing for a sustainable metallurgy

Ilyas, Sadia,Kim, Min‐,seuk,Lee, Jae‐,chun John WileySons, Ltd 2018 Journal of chemical technology and biotechnology Vol.93 No.2

<P>Bioprocessing for the recovery of metal from divergent resources using the microbial strategy has emerged as a green technology in metallurgical operations. The limitations to maintain the ideal condition for bacterial growth with slow kinetics, however, have been considered as major obstacles to bioprocessing being implemented more widely. This can be overcome by integrating the microbes with a chemical processing route. The available reports on recent developments in hybrid bio-chemical processing of both primary and secondary resources have presented promising results, exhibiting the potential for use in large-scale metallurgy. In this context, reviewing the factors of the hybrid process would benefit from knowledge acquired in fundamental studies. The present review focuses on bio-chemical process integration using eco-friendly design tools for treating the difficult to extract resources and complex spent materials as well. Furthermore, the potential of hybrid technology has been evaluated by establishing an economic model as a case study which encompasses features of economic development, environmental consideration and societal matters to achieve process sustainability. (c) 2017 Society of Chemical Industry</P>

Reflective Model of Brand Awareness on Repurchase Intention and Customer Satisfaction

ILYAS, Gunawan Bata,RAHMI, Sri,TAMSAH, Hasmin,MUNIR, Abdul Razak,PUTRA, Aditya Halim Perdana Kusuma Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.9

This study aims to analyze and confirm brand awareness' role in influencing the repurchase intention both directly and indirectly on customer satisfaction variables and repurchase intention variables. The contribution brought by this study is to reflect manifest variables such as recall, purchase, and consumption. The number of respondents in this study was 200 samples using the online survey data collection method (Google form), while the research approach is quantitative explanatory. The data analysis test tools include the Structural Equation Modeling (SEM) approach with AMOS as a statistical data analysis software and Sobel test to indirectly test the relationship. This study consists of four hypotheses, of which three hypotheses are positively and significantly related (brand awareness on repurchase intention, brand awareness on customer satisfaction, and customer satisfaction on repurchase intention). Through indirect relationship, namely, brand awareness on repurchase intention through customer satisfaction, the study showed no significant effect. In a comprehensive way, this study emphasizes the factor of customer satisfaction as a determinant of consumer loyalty and repurchase intention. Therefore, creating optimal customer satisfaction, service excellence, promotion and massive advertising, guaranteeing the safety and ease-of-use apps, and ease of shopping, especially for e-commerce industry, is a serious concern.

Hardware Implementation of Perturb and Observe Maximum Power Point Tracking Algorithm for Solar Photovoltaic System

Ilyas, Afshan,Ayyub, Mohammad,Khan, M. Rizwan,Husain, Mohammed Aslam,Jain, Abhinandan The Korean Institute of Electrical and Electronic 2018 Transactions on Electrical and Electronic Material Vol.19 No.3

Solar photovoltaic systems have evolved as a prominent renewable source of energy owing to its eco-friendly nature, long lifetime, and low maintenance requirement. However, its conversion efficiency is very low. Different maximum power point tracking (MPPT) techniques have been used to extract maximum power from the photovoltaic system. In this study, the perturb and observe (P&O) MPPT algorithm, which is practically implemented on an Arduino Uno board and simulated in Matlab/Simulink under the same environmental conditions, is used to track the maximum power. Different parameters of a Simulink-based PV module and a practical photovoltaic module are obtained and compared. The main advantages of the P&O MPPT algorithm are its low cost and easy implementation. However, it may fail to track the maximum operating point under varying environmental conditions.

Fuzzy Regression Analysis using Trapezoidal Fuzzy Numbers

Ilyas Idrisovich Ismagilov,Ghena Alsaied 대한산업공학회 2020 Industrial Engineeering & Management Systems Vol.19 No.4

As a widely used method, regression analysis plays an increasingly important role in creating statistical models and making forecasts in the field of economics and finance. The use of traditional regression for modeling socio-economic processes is not sufficiently substantiated in some situations. Currently, a new direction is being actively developed, associated with fuzzy regression analysis and its application as an alternative to classical methods for modeling economic phenomena. Fuzzy regression methods are based on the theory of fuzzy sets. A number of methods and their modifications are proposed for constructing fuzzy regression models, but most of them use triangular fuzzy symmetric numbers. In this paper, we propose a new method for constructing linear fuzzy regression using trapezoidal fuzzy numbers. The method is based on dividing the sample using a regression model which is estimated by using the ordinary least squares. Two fuzzy regressions using triangular numbers are estimated from the formed samples, on the basis of which a fuzzy model with trapezoidal fuzzy numbers is constructed. Basing on the proposed method, a linear fuzzy model of the gross regional product as an indicator of the economic development of the Republic of Tatarstan of Russia is constructed depending on a number of factors. A comparative assessment of the quality of fuzzy regression models using triangular and trapezoidal numbers was performed.

Expansion of The Cra Regulatory Network And Conservation of Transcriptional Regulation in Carbon Metabolism of Escherichia Coli

Ilyas KABIMOLDAYEV,Sang-Mok LEE,Duc Anh NGUYEN,Joon Young PARK,Ina BANG,Sang Woo SEO,Eun Yeol LEE,Donghyuk KIM 한국생물공학회 2023 한국생물공학회 학술대회 Vol.2023 No.10

DNA to Protein: A Transformer Model for Custom Transcription Factor Design in Microbial Systems

Ilyas KABIMOLDAYEV,Donghyuk KIM 한국생물공학회 2023 한국생물공학회 학술대회 Vol.2023 No.10

Bioremoval of heavy metals from recycling industry electronic waste by a consortium of moderate thermophiles: process development and optimization

Ilyas, Sadia,Lee, Jae-chun,Kim, Byung-su Elsevier 2014 Journal of Cleaner Production Vol.70 No.-

The Aim of the current work is to develop an environmentally friendly process for the removal of heavy metals (Cu, Zn, Ni, Cd, Al, Cr, Pb) from recycling industry electronic waste with a consortium of Sulfobacillus thermosulfidooxidans and Thermoplasma acidophilum. The performances of commercial S-0 powder and biogenic S-0 sludge as substrates for the bio-removal of heavy metals were compared. Empirical models for the bioleaching process based on a statistical analysis were developed to evaluate the individual and combined effects of critical variables including S-0 dosage, particle size, pulp density and bacterial feed formulation (inoculum size and inoculation style) in shaken flasks while specifying the effective variable ranges. Upscale feasibility experiments in a stirred tank reactor demonstrated a maximum metal bio-removal efficiency (92%) at a 1% dosage of biogenic S-0 sludge and 2% dosage of commercial S-0 powder (82%), given a 15% pulp density and 150 mu m particle size with an intermittent low-concentration addition of inoculum (1 x 10(6) cells/mL). Biogenic S-0 sludge showed a higher degree of S-0 oxidation (95%) in a shorter time period (12 days) compared to commercial S powder (82% in 24 days), thereby reducing the process cost. Risk assessments of discarded electronic wastes before and after bioremediation by the toxicity characteristic leaching procedure (TCLP), waste extraction test (WET), synthetic precipitation test (SPLP) and total threshold limit concentration (TTLC) indicated that the leaching/toxicity of bio-remediated residue was well within the regulatory limits. (C) 2014 Elsevier Ltd. All rights reserved.