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JournalISSN: 2169-8767

Proceedings of the International Conference on Industrial Engineering and Operations Management 

About: Proceedings of the International Conference on Industrial Engineering and Operations Management is an academic journal. The journal publishes majorly in the area(s): Computer science & Business. It has an ISSN identifier of 2169-8767. Over the lifetime, 616 publications have been published receiving 13 citations. The journal is also known as: Proc Int Conf Ind Eng Oper Manag.

Papers published on a yearly basis

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Proceedings ArticleDOI
TL;DR: In this paper , a sustainability ranking is done for four predominant non-combustible renewable energy sources (i.e., wind, solar, geothermal, and hydro) i.e. wind power is the most sustainable, followed by hydropower, photovoltaic and then geothermal energy sources.
Abstract: In this study, sustainability ranking is done for four predominant non-combustible renewable energy sources i.e., wind, solar, geothermal, and hydro. There are various indicators used to assess power generation technologies. They include price/cost of generated electricity, full lifecycle greenhouse gas emissions, availability of renewable sources, energy conversion efficiency, land use requirements, water consumption and social and economic impacts. The cost of electricity, greenhouse gas emissions and the efficiency of electricity generation have a wide range for each technology option because of wide range of available technology options and varied geographical dependence. The social impacts of energy sources are qualitatively based on the major individual impacts from literature. Renewable energy technologies were then ranked against each indicator assuming that indicators have equal importance for sustainable development. The study shows that wind power is the most sustainable, followed by hydropower, photovoltaic and then geothermal energy sources. However, wind has got higher land requirements and relatively higher cost of generation.

3 citations

Proceedings ArticleDOI
TL;DR: In this article , machine learning algorithms are employed to extract patterns from a common loan-approved dataset and predict deserving loan applicants, such as age, income type, loan annuity, last credit bureau report, type of organization they work for, and length of employment.
Abstract: As people's demands grow, so does the need for bank loans. Every day, banks get many loan applications from customers and other individuals but not every applicant is accepted. Typically, banks execute a loan application after verifying and evaluating the applicant's eligibility, which is a time-consuming and challenging process. When examining loan applications and making credit approval decisions, most banks use their credit score and risk assessment systems. Despite this, some applicants fail to pay their bills each year, causing financial institutions to lose a substantial amount of money. In this study, Machine Learning (ML) algorithms are employed to extract patterns from a common loan-approved dataset and predict deserving loan applicants. Customers' previous data will be used to undertake the study, including their age, income type, loan annuity, last credit bureau report, Type of organization they work for, and length of employment. ML methods such as Random Forest, XGBoost, Adaboost, Lightgbm, Decision tree, and K-Nearest Neighbor were used to discover the maximum relevant features, i.e., the elements that have the most impact on the prediction output. These mentioned algorithms are compared and assessed against one another using standard metrics. Among these, Logistic Regression achieved the highest accuracy of 92%. It was also determined as the best model and performed significantly well better than other machine learning methods in terms of F1-Score, which is 96%.

1 citations

Proceedings ArticleDOI
TL;DR: In this article , a cross-sectional and quantitative research design was used based on the survey process to find out and analyze the entrepreneurial orientation impact on business sustainability during COVID-19 pandemic.
Abstract: While youth and future generations will carry the burden of the crisis's long-term economic and social implications, short-term economic and equity considerations may outweigh their business sustainability. The purpose of this study is to find out and analyze the entrepreneurial orientation impact on business sustainability during COVID-19 pandemic. A sample of 101 young respondents was selected from small and medium online businesses in Jakarta. A random sampling technique was executed. For this study, a cross-sectional and quantitative research design was used based on the survey process. The two-part questionnaire was used for data collection. Structural Equation Model (SEM) was used to assess the hypothesis of this study. The result shows that entrepreneurial orientation has a positive and significant impact directly on business sustainability. The same situation also occurred as an indirect effect of entrepreneurial orientation on business sustainability through innovation performance. This study suggests that online small and medium entrepreneurs need to implement entrepreneurial orientation strategy to grow their online customer acquisition business process. Young e-business owners are advised that understanding the importance of constantly producing, evaluating, and successfully implementing new ideas have a higher chance of surviving and prospering in today’s competitive global market.

1 citations

Proceedings ArticleDOI
TL;DR: In this paper , the authors show that using social media as a form of social media memory can trigger nostalgic memories, allowing people to experience nostalgia and social connectedness in the current day.
Abstract: Society 5.0 post-pandemic has an essential need in accordance with its existentialism as a human being, namely, to feel connected to each other. A valuable lesson from the COVID-19 pandemic shows that limiting interactions with other people doesn't stop people from staying connected. They use social media as a tool to connect themselves with others personally and widely. This study consists of two studies that aim to provide empirical evidence that the use of social media plays a role in predicting the psychological function of nostalgia (study 1), and the function of nostalgia plays a role in predicting social connectedness (study 2). The results showed that social media had a significant role in predicting the nostalgia function, and the nostalgia function was shown to play a significant role in predicting social connectedness. The findings of this study suggest that using social media as a form of social media memory can trigger nostalgic memories, allowing people to experience nostalgia and social connectedness in the current day.

1 citations

Proceedings ArticleDOI
TL;DR: In this paper , the authors identify the relationship between brand ambassadors, hedonic shopping motivation, and impulsive buying behavior, with fanaticism predicts to moderate the relationship, and demonstrate that attractiveness of brand ambassadors significantly influences consumers' shopping motivation without fanaticism serve as the moderation factor.
Abstract: The phenomenon of Korean brand ambassadors (Hallyu) has been identified as one of the most effective marketing strategies to increase sales, specifically in e-commerce. Fans of these celebrities do not hesitate to buy products promoted by Hallyu repeatedly and in a high amount as the devotion to their idols. The attractiveness of Hallyu predicts can stimulate consumers hedonic motivation, a shopping motivation driven by fulfillment of emotional or other subjective needs. This motivation then leads to impulsive buying behavior, unplanned buying due to sudden desires. E-commerce enjoys the benefit of impulse buying phenomena because consumer buying process occurs easily. It is different from other buying behavior which usually takes time because consumers need to consider their choices carefully. This research aims to identify the relationship between brand ambassadors, hedonic shopping motivation, and impulsive buying behavior, with fanaticism predicts to moderate the relationship between brand ambassador and hedonic shopping motivation. Using a technique of purposive sampling, 160 samples have been selected from Jabodetabek and other areas, age 19-25 years, the fans of Hallyu and actively shop in e-commerce. Partial Least Square has been used to analysis the data. Result of this study demonstrates that attractiveness of brand ambassadors significantly influences consumers’ hedonic shopping motivation and impulsive buying behavior, without fanaticism serve as the moderation factor. This finding provides valuable insight for e-commerce, which targets young consumers, on how to optimize the use of brand ambassador to stimulate consumer buying behavior.

1 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
2023581
202235