• Title/Summary/Keyword: Software Product

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Research on Factors Influencing Consumers' Willingness to Use Community Group Buying Platform

  • Youwei QI;Jing SONG;Yiming LIU;Zhuoqi TENG
    • Journal of Distribution Science
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    • v.22 no.5
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    • pp.1-10
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    • 2024
  • Purpose: The study aims to identify the key factors that influence consumers' propensity to utilize community group buying platforms, employing the Technology Acceptance Model (TAM) as a theoretical framework. Research design, data and methodology: The research design involved selecting 192 consumers with experience in community group buying and analyzing the data statistically using SPSS 23.0. Hypotheses were tested utilizing the structural equation modeling software AMOS. Results: Key findings indicate that the attributes of products offered on community group buying platforms significantly enhance consumers' perceptions of usefulness and ease of use. Furthermore, these perceptions directly correlate with consumers' intentionsto use the platform. Conclusions: Thisresearch, grounded in the TAM, delves into how external factors of the community group buying platform impact perceived usefulness and ease of use, and subsequently, how these perceptions affect consumers' purchasing intentions. Based on these insights, several recommendations can be proposed for the platform's development: The platform should strive to enhance product quality and cultivate a positive reputation. Strategic promotional initiatives should be designed to attract new users while retaining existing customers. Continuous optimization of platform functionalities is necessary to augment users' perception of usefulness. These measures are anticipated to foster user engagement, increase adoption rates, and contribute to the overall success and sustainability of the community group buying platform.

Multi-Purpose Hybrid Recommendation System on Artificial Intelligence to Improve Telemarketing Performance

  • Hyung Su Kim;Sangwon Lee
    • Asia pacific journal of information systems
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    • v.29 no.4
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    • pp.752-770
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    • 2019
  • The purpose of this study is to incorporate telemarketing processes to improve telemarketing performance. For this application, we have attempted to mix the model of machine learning to extract potential customers with personalisation techniques to derive recommended products from actual contact. Most of traditional recommendation systems were mainly in ways such as collaborative filtering, which predicts items with a high likelihood of future purchase, based on existing purchase transactions or preferences for products. But, under these systems, new users or items added to the system do not have sufficient information, and generally cause problems such as a cold start that can not obtain satisfactory recommendation items. Also, indiscriminate telemarketing attempts can backfire as they increase the dissatisfaction and fatigue of customers who do not want to be contacted. To this purpose, this study presented a multi-purpose hybrid recommendation algorithm to achieve two goals: to select customers with high possibility of contact, and to recommend products to selected customers. In addition, we used subscription data from telemarketing agency that handles insurance products to derive realistic applicability of the proposed recommendation system. Our proposed recommendation system would certainly solve the cold start and scarcity problem of existing recommendation algorithm by using contents information such as customer master information and telemarketing history. Also. the model could show excellent performance not only in terms of overall performance but also in terms of the recommendation success rate of the unpopular product.

The Distribution of Cosmetics Products, Brand Trust and Promotion Impact on Purchase Decision during Live Streaming

  • Indah PUSPITARINI;Ricardo INDRA;La MANI;Feby LARASATI;Adzra Athira ARIEF
    • Journal of Distribution Science
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    • v.22 no.7
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    • pp.1-11
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    • 2024
  • Purpose: Shopee, Indonesia's most frequently visited marketplace in November 2023, had 427.2 million visits. Supported by the live streaming feature, Shopee has become the most widely used online shopping platform, with an 83.4% market share in 2022. Several factors, such as brand trust and promotions, have significantly influenced Shopee's dominance and consumer purchasing decisions. This research aims to investigate the effect of cosmetic product distribution, brand trust, and promotions on purchasing decisions, considering gender and age as control variables. Research design, data and methodology: A quantitative approach using a survey research method was employed with a sample of 150 respondents, who were followers of the Shopee ESQA Cosmetics account, obtained through the Yamane formula. Data was collected via an online questionnaire. The data analysis technique used in this study was PLS-SEM with Smart PLS software. The results of this research indicate a significant effect of the distribution of cosmetics products, brand trust, promotions, gender, and age as control variables on the purchase decision variable. Conclusions: The distribution of cosmetic products, brand trust and promotions have a positive and significant impact on purchase decisions during live streaming on Shopee, and control variables (gender and age 36-45) have a positive and significant influence on purchase decisions.

Critical buckling coefficient for simply supported tapered steel web plates

  • Saad A. Yehia;Bassam Tayeh;Ramy I. Shahin
    • Structural Engineering and Mechanics
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    • v.90 no.3
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    • pp.273-285
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    • 2024
  • Tapered girders emerged as an economical remedy for the challenges associated with constructing long-span buildings. From an economic standpoint, these systems offer significant advantages, such as wide spans, quick assembly, and convenient access to utilities between the beam's shallow sections and the ceiling below. Elastic-local buckling is among the various failure modes that structural designers must account for during the design process. Despite decades of study, there remains a demand for efficient and comprehensive procedures to streamline product design. One of the most pressing requirements is a better understanding of the tapered web plate girder's local buckling behavior. This paper conducts a comprehensive numerical analysis to estimate the critical buckling coefficient for simply supported tapered steel web plates, considering loading conditions involving compression and bending stresses. An eigenvalue analysis was carried out to determine the natural frequencies and corresponding mode shapes of tapered web plates with varying geometric parameters. Additionally, the study highlights the relative significance of various parameters affecting the local buckling phenomenon, including the tapering ratio of the panel, normalized plate length, and ratio of minimum to maximum compressive stresses. The regression analysis and optimization techniques were performed using MATLAB software for the results of the finite element models to propose a separate formula for each load case and a unified formula covering different compression and bending cases of the elastic local buckling coefficient. The results indicate that the proposed formulas are applicable for estimating the critical buckling coefficient for simply supported tapered steel web plates.

Development of Control Method for Self-Driving Roller Conveyor Based on 3D Simulation (자체 구동 롤러 컨베이어의 3차원 시뮬레이션 기반 제어 기법 개발)

  • Seokwon Lee;Byungmin Kim;Heon Huh
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.861-864
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    • 2024
  • The self-driving roller conveyor system, which transports target products by controlling multiple rollers with a motor, is a logistics system suitable for branching and joining logistics and controlling the alignment of target products, and its utilization is increasing, especially in the food manufacturing process. In this paper, we build a simulation environment using Unity software based on 3D graphic modeling of a self-driving roller conveyor system. In a situation where target products are supplied irregularly in terms of time, a method is proposed that can align products to maintain constant spacing by controlling the rollers. Simulation results show that effective alignment of products is possible by controlling the motor that drives the roller based on sensor data of the product position.

A Study on the Optimization of the Size of the Corrugated Fiberboard Cartons for Export of Agricultural Products (신선 농산물 수출을 위한 골판지 상자 크기의 최적화 연구)

  • Minhwi Kim;Youn Suk Lee;Myungho Lee;Euihark Lee
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.30 no.2
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    • pp.121-129
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    • 2024
  • This study aimed to focus on the optimization of the external dimension sizes in the corrugated fiberboard cartons (CFCs) for exporting agricultural products. The commercial CFCs of current fresh produces such as paprika, Asian pear, melon, sweet potato, and oriental melon for export were used for this study. The guidelines of the minimum internal dimensions of the refrigerated reefer container, the dimensions of pallets, and the maximum load height of a stack were referred to KS T ISO 668, KS T 1372, and the Container Handbook by the German Insurance Association, respectively. These principles were selected as a ground rule for the external dimensions of CFCs. Package layout design programs of ArtiosCAD and Cape Pack software were used to confirm the box stacking patterns and revise the external dimension of CFCs. The final external dimensions of each CFC were revised from 5 to 30 mm compared to its original dimensions. The maximum load of each stacking box per pallet has been increased from 0.0 to 12.5% compared to its original load.

How Can Non.Chaebol Companies Thrive in the Chaebol Economy? (비재벌공사여하재재벌경제중생존((非财阀公司如何在财阀经济中生存)? ‐공사층면영소전략적분석(公司层面营销战略的分析)‐)

  • Kim, Nam-Kuk;Sengupta, Sanjit;Kim, Dong-Jae
    • Journal of Global Scholars of Marketing Science
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    • v.19 no.3
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    • pp.28-36
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    • 2009
  • While existing literature has focused extensively on the strengths and weaknesses of the Chaebol and their ownership and governance, there have been few studies of Korean non-Chaebol firms. However, Lee, Lee and Pennings (2001) did not specifically investigate the competitive strategies that non-Chaebol firms use to survive against the Chaebol in the domestic Korean market. The motivation of this paper is to document, through four exploratory case studies, the successful competitive strategies of non-Chaebol Korean companies against the Chaebol and then offer some propositions that may be useful to other entrepreneurial firms as well as public policy makers. Competition and cooperation as conceptualized by product similarity and cooperative inter.firm relationship respectively, are major dimensions of firm.level marketing strategy. From these two dimensions, we develop the following $2{\times}2$ matrix, with 4 types of competitive strategies for non-Chaebol companies against the Chaebol (Fig. 1.). The non-Chaebol firm in Cell 1 has a "me-too" product for the low-end market while conceding the high-end market to a Chaebol. In Cell 2, the non-Chaebol firm partners with a Chaebol company, either as a supplier or complementor. In Cell 3, the non-Chaebol firm engages in direct competition with a Chaebol. In Cell 4, the non-Chaebol firm targets an unserved part of the market with an innovative product or service. The four selected cases such as E.Rae Electronics Industry Company (Co-exister), Intops (Supplier), Pantech (Competitor) and Humax (Niche Player) are analyzed to provide each strategy with richer insights. Following propositions are generated based upon our conceptual framework: Proposition 1: Non-Chaebol firms that have a cooperative relationship with a Chaebol will perform better than firms that do not. Proposition 1a; Co-existers will perform better than Competitors. Proposition 1b: Partners (suppliers or complementors) will perform better than Niche players. Proposition 2: Firms that have no product similarity with a Chaebol will perform better than firms that have product similarity. Proposition 2a: Partners (suppliers or complementors) will perform better than Co.existers. Proposition 2b: Niche players will perform better than Competitors. Proposition 3: Niche players should perform better than Co-existers. Proposition 4: Performance can be rank.ordered in descending order as Partners, Niche Players, Co.existers, Competitors. A team of experts was constituted to categorize each of these 216 non-Chaebol companies into one of the 4 cells in our typology. Simple Analysis of Variance (ANOVA) in SPSS statistical software was used to test our propositions. Overall findings are that it is better to have a cooperative relationship with a Chaebol and to offer products or services differentiated from a Chaebol. It is clear that the only profitable strategy, on average, to compete against the Chaebol is to be a partner (supplier or complementor). Competing head on with a Chaebol company is a costly strategy not likely to pay off for a non-Chaebol firm. Strategies to avoid head on competition with the Chaebol by serving niche markets with differentiated products or by serving the low-end of the market ignored by the Chaebol are better survival strategies. This paper illustrates that there are ways in which small and medium Korean non-Chaebol firms can thrive in a Chaebol environment, though not without risks. Using different combinations of competition and cooperation firms may choose particular positions along the product similarity and cooperative relationship dimensions to develop their competitive strategies-co-exister, competitor, partner, niche player. Based on our exploratory case-study analysis, partner seems to be the best strategy for non-Chaebol firms while competitor appears to be the most risky one. Niche players and co-existers have intermediate performance, though the former do better than the latter. It is often the case with managers of small and medium size companies that they tend to view market leaders, typically the Chaebol, with rather simplistic assumptions of either competition or collaboration. Consequently, many non-Chaebol firms turn out to be either passive collaborators or overwhelmed competitors of the Chaebol. In fact, competition and collaboration are not mutually exclusive, and can be pursued at the same time. As suggested in this paper, non-Chaebol firms can actively choose to compete and collaborate, depending on their environment, internal resources and capabilities.

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An Implementation of OTB Extension to Produce TOA and TOC Reflectance of LANDSAT-8 OLI Images and Its Product Verification Using RadCalNet RVUS Data (Landsat-8 OLI 영상정보의 대기 및 지표반사도 산출을 위한 OTB Extension 구현과 RadCalNet RVUS 자료를 이용한 성과검증)

  • Kim, Kwangseob;Lee, Kiwon
    • Korean Journal of Remote Sensing
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    • v.37 no.3
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    • pp.449-461
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    • 2021
  • Analysis Ready Data (ARD) for optical satellite images represents a pre-processed product by applying spectral characteristics and viewing parameters for each sensor. The atmospheric correction is one of the fundamental and complicated topics, which helps to produce Top-of-Atmosphere (TOA) and Top-of-Canopy (TOC) reflectance from multi-spectral image sets. Most remote sensing software provides algorithms or processing schemes dedicated to those corrections of the Landsat-8 OLI sensors. Furthermore, Google Earth Engine (GEE), provides direct access to Landsat reflectance products, USGS-based ARD (USGS-ARD), on the cloud environment. We implemented the Orfeo ToolBox (OTB) atmospheric correction extension, an open-source remote sensing software for manipulating and analyzing high-resolution satellite images. This is the first tool because OTB has not provided calibration modules for any Landsat sensors. Using this extension software, we conducted the absolute atmospheric correction on the Landsat-8 OLI images of Railroad Valley, United States (RVUS) to validate their reflectance products using reflectance data sets of RVUS in the RadCalNet portal. The results showed that the reflectance products using the OTB extension for Landsat revealed a difference by less than 5% compared to RadCalNet RVUS data. In addition, we performed a comparative analysis with reflectance products obtained from other open-source tools such as a QGIS semi-automatic classification plugin and SAGA, besides USGS-ARD products. The reflectance products by the OTB extension showed a high consistency to those of USGS-ARD within the acceptable level in the measurement data range of the RadCalNet RVUS, compared to those of the other two open-source tools. In this study, the verification of the atmospheric calibration processor in OTB extension was carried out, and it proved the application possibility for other satellite sensors in the Compact Advanced Satellite (CAS)-500 or new optical satellites.

User Experience Analysis on 3D Printing Services and Service Direction Suggestions (3D프린팅 서비스에 대한 사용자 경험 분석과 서비스 방향제안)

  • Lee, Guk-Hee;Cho, Jaekyung
    • Journal of the HCI Society of Korea
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    • v.11 no.1
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    • pp.47-55
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    • 2016
  • Three Dimensional Printing (herein, 3D printing) not only gives novelty and interests to modern people but is also a spotlighted technology that could herald a new industrial revolution. The introduction of various 3D printing service platforms has enabled individuals to easily possess products designed through 3D printing. However, there are still many issues to consider until the era of new manufacturing, when 3D printing becomes available to the general public so that anyone can make and design products with 3D printing. For instance, there needs to be sufficient consideration and research on whether the current 3D printing services can prove their higher capability to produce products conventionally done by machines and hands through 3D printing, and on the meaning of selling a wide range of product families like those of most 3D printing service platforms to the consumers. This study, which was initiated in this context, aimed to gain insight on the directions that 3D printing services need to advance going forward by letting consumers have first-hand experience on 3D printing online service platforms with a wide range of product families and those with relatively limited services, and then asking them to answer multiple-choice and short-answer survey questions on the websites they wish to purchase from, diversity of designs, design satisfaction, perceived technical skills, perceived purchase satisfaction, perceived after-sales service(A/S). As a result, we were able to witness that consumers generally had a strong preference for services with a wide range of product families (e.g. Shapeways) compared to services with a narrow range (e.g. Digital Forming). We also verified that design diversity and the possibility of realizing the designs were the crucial aspects that need to be considered with 3D printing services. Moreover, we also carried out discussions on carrying out design consulting by securing a pool of designers from diverse fields, on providing web-based designing software that can be utilized even by beginners, and on operating shops both online and offline in order to provide more competitive 3D printing services.

Storm-Based Dynamic Tag Cloud for Real-Time SNS Data (실시간 SNS 데이터를 위한 Storm 기반 동적 태그 클라우드)

  • Son, Siwoon;Kim, Dasol;Lee, Sujeong;Gil, Myeong-Seon;Moon, Yang-Sae
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.6
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    • pp.309-314
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    • 2017
  • In general, there are many difficulties in collecting, storing, and analyzing SNS (social network service) data, since those data have big data characteristics, which occurs very fast with the mixture form of structured and unstructured data. In this paper, we propose a new data visualization framework that works on Apache Storm, and it can be useful for real-time and dynamic analysis of SNS data. Apache Storm is a representative big data software platform that processes and analyzes real-time streaming data in the distributed environment. Using Storm, in this paper we collect and aggregate the real-time Twitter data and dynamically visualize the aggregated results through the tag cloud. In addition to Storm-based collection and aggregation functionalities, we also design and implement a Web interface that a user gives his/her interesting keywords and confirms the visualization result of tag cloud related to the given keywords. We finally empirically show that this study makes users be able to intuitively figure out the change of the interested subject on SNS data and the visualized results be applied to many other services such as thematic trend analysis, product recommendation, and customer needs identification.