• 제목/요약/키워드: Price Influencing Factors

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머신러닝 기반 공동주택 분양가 예측모델 개발 기초연구 (A Basic Study on Sale Price Prediction Model of Apartment Building Projects using Machine Learning Technique)

  • 손승현;김지명;한범진;나영주;김태희
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 봄 학술논문 발표대회
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    • pp.151-152
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    • 2021
  • The sale price of apartment buildings is a key factor in the success or failure of apartment projects, and the factors that affect the sale price of apartments vary widely, including location, environmental factors, and economic conditions. Existing methods of predicting the sale price do not reflect the nonlinear characteristics of apartment prices, which are determined by the complex impact factors of reality, because statistical analysis is conducted under the assumption of a linear model. To improve these problems, a new analysis technique is needed to predict apartment sales prices by complex nonlinear influencing factors. Using machine learning techniques that have recently attracted attention in the field of engineering, it is possible to predict the sale price reflecting the complexity of various factors. Therefore, this study aims to conduct a basic study for the development of a machine learning-based prediction model for apartment sale prices.

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Factors Influencing the Consumption of Calcium-Rich Foods among Adolescents

  • Han, Ji-Sook;Kim, Jeong-Hee
    • Preventive Nutrition and Food Science
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    • 제7권1호
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    • pp.88-94
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    • 2002
  • The purpose of this study was to identify factors influencing the consumption of calcium-rich foods among adolescents. A total of 96 adolescents divided into twelve focus groups were investigated during April to May 2000 in Busan. Focus group discussions were audio-taped, transcribed and analyzed using a grounded theory approach. Key factors influencing the consumption of calcium-rich foods were taste, food type, body image, and family. Motivators among the factors were taste, flood type, body image, health, family and perception, and barriers were taste, flood type, location, friends, price, weather and lactose intolerance. Taste, flood type, location and weather were found to be both motivators and barriers of consumption of calcium-rich floods according to circumstances. Some of these factors varied in importance by gender and age. Younger adolescents were more strongly influenced by taste and family than older ones. Older adolescents were strongly influenced by body image, convenience and perception. These findings could be used as a guideline for adolescents to consume calcium-rich foods.

Utilisation of Non Timber Forest Products in Botswana: The Case of Commercialisation of Mopane Worms (Imbraisia belina) in Central District, Botswana

  • Mogomotsi, Patricia Kefilwe;Mogomotsi, Goemeone E.J;Gondo, Reniko
    • Journal of Forest and Environmental Science
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    • 제34권1호
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    • pp.24-30
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    • 2018
  • In Botswana, mopane worms are widely harvested for household consumption. They are also traded for income generation. Urban based entrepreneurs' source mopane worms from rural areas to sell. The price of sourcing mopane worms from the harvesters has increased quite incredibly in villages. However, there is dearth of academic studies on the commercialisation of mopane worms in Botswana. This paper uses primary data collected from multiple sources to investigate the factors influencing the prices of mopane worms. Data collection involved administration of questionnaires to purposively selected harvesters in four campsites in the Central District, focus group discussions at each campsite and key informant interviews. The results show that there is declining population of mopane worms. The decline is attributable to such factors as over-harvesting and climate change which are the main factors influencing the price of mopane worms. In addition to physical scarcity of mopane worms, institutional weaknesses exist in the study area. The Agricultural Resources Conservation Act is ineffective and the majority of the harvesters are unaware of its existences. It is recommended that the regulations on the harvesting of mopane worms be reviewed. In order to benefit harvesters, mopane worms should be processed to add diversified economic value to rural communities.

진주시 직장인의 외식 선택 요인 (Factors Influencing Salaried Employees' Choice of a Restaurant in JinJu)

  • 김석영
    • 한국식생활문화학회지
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    • 제19권1호
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    • pp.83-93
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    • 2004
  • A total of 321 salaried employees were surveyed by a questionnaire to assess consumers perceptions on factors influencing their food choices when they go to a restaurant. The questionnaire consisted of 5 pages and each page contained a same 26 popular food list from various restaurants in JinJu in a column and 5 attributes (e.g. taste, price, fullness, healthiness) in a row. So the respondents were asked to rate a total 25 attributes on the points which the columns and the rows met, using a 5-point scale. The data were analyzed using the SAS program for factor analysis. Five factors which influence consumer's restaurant choice were emerged. They were named as follow: Factor 1:preference and purpose, Factor 2:taste, Factor 3:snack, Factor 4:convenience, Factor 5:concern about obesity. Most of respondents were satisfied with the taste and the healthiness of foods of restaurants in Jin-Ju. The younger and the female groups had more positive attitudes on eating out andi willing to use it frequently. Fullnes, healthiness, and price were important criteria in choice and preference of a restaurant. However, they didn't much consider the food safety. Taking account of the character of Korean food about fullness, healthiness, and resonable price, consumers might prefer Korean food to fast food or foreign food.

디지털 지식상품의 가격수용도와 구매인지부조화 영향요인에 관한 연구 (Factors Influencing the Price Acceptability and Cognitive Dissonance for the Purchaser of Digital Knowledge Goods)

  • 정대율
    • 한국정보시스템학회지:정보시스템연구
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    • 제22권4호
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    • pp.85-115
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    • 2013
  • Digital knowledge and information goods as experience goods have some unique characteristics such as close to zero reproduction and distribution cost, high price volatility, and low price acceptability. For the reasons, the pricing policies of digital knowledge goods are very difficult and complicate. Also, most consumers of digital goods have experienced cognitive dissonance after buying decision. The purpose of this paper is to investigate what factors affect the price acceptability level and cognitive dissonance of digital knowledge goods buyers. This paper suggest a structural model that was established by the cognitive dissonance theory and S-O-R(Stimulus-Organization-Response) model. The model is consisted of four exogenous variables and three endogenous variables. The empirical test and statistical analysis suggest following results and practical implications. The variables such as product involvement and perception of price fairness that have positive roles to price acceptability have strong influence on the all the three endogenous variables. But the variables such as sale proneness and price mavenism that have negative roles to price acceptability have little influence on the all the three endogenous variables. In the model, the payment intention was very important mediating variable between exogenous variables and two dependent variables, ie. price acceptability and cognitive dissonance. These results imply that the digital knowledge portals must have some differentiated pricing policies to the customers who have price consciousness and price mavenism. Also, they need some special promotions to whom have positive attitude to the value of digital goods.

직업능력개발훈련과정의 시간당 수강료 영향 요인 분석 (Analysis of Influencing Factors on Hourly Course Fee in Vocational Competency Development Course)

  • 최영섭
    • 실천공학교육논문지
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    • 제11권2호
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    • pp.239-249
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    • 2019
  • 현재 직업능력개발훈련에 대한 재정 지원은 NCS 직종 분류에 따라 설정된 NCS 기준 단가에 따라 집행되고 있다. 이러한 기준단가 제도는 훈련분담금-지원금 제도가 운영되는 경우 그에 필요한 행정 부담을 경감시켜주는 장점을 갖고 있다. 본 논문에서는 현재 NCS 기준단가가 훈련과정별 수강료를 기준으로 함에 따라 직업훈련 정책의 사회통합적 기능을 왜곡시킬 수 있음을 지적하였다. 앞으로 합리적 개선 방안 모색을 위한 기초로서, 훈련기관에서 책정하는 훈련과정별 수강료에 어떤 요인들이 영향을 미치는지 분석하였다. 그 결과 실제로 훈련기관의 독점적 성격이나 훈련참여자의 높은 지불의사가 수강료에 영향을 미침을 확인할 수 있었다. 따라서 향후 정부의 직업능력개발훈련에 대한 재정지원에서 이러한 영향을 제거하고 실제 훈련공급비용에 가까운 지원이 이뤄지도록 함으로써 훈련정책이 사회적 통합성 제고에 기여하도록 해야 할 것이다. 더 나아가 근본적으로 모든 훈련과정의 정확한 훈련공급비용을 보전해 줄 수 없다면 정부의 정책적 판단을 중심으로 하는 지원 기준 마련이 필요하다.

Influencing Factors in High vs. Low Share Brand Choice

  • Kang, Yong-Soon;Moon, Sang-Kil;Suh, Jae-Beom
    • Management Science and Financial Engineering
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    • 제13권1호
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    • pp.73-91
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    • 2007
  • We investigate factors that influence the choice of high-share brands(HSBs) vs. low-share brands(LSBs) among various product and consumer characteristics related to brand-share perceptions. Specifically, using 8 product categories varying in terms of purchase decision involvement, we show how the influencing factors vary across the categories. At the general level that cover all the 8 categories, our hierarchical Bayesian regressions analysis shows that factors that favor high-share brands are purchase decision involvement, search goods, experience goods, price-quality relationship, positive network externalities, and price-prestige beliefs. Conversely, consumers who value variety seeking and need for uniqueness favor low-share brands. The effects of these factors, however, vary across product categories. The identification of these characteristics can help brand managers establish a more effective brand-share strategy in such areas as setting an optimal market share goal, extending a brand, and developing ad copy. Furthermore, our consumer segmentation analysis demonstrates the general market has two distinct segments - (1) a segment composed of HSB buyers(86%) and (2) a segment composed of LSB buyers(14%). The two segments are also shown to have different significant factors that explain their brand choice. Our segmentation analysis can help marketers establish a marketing strategy that targets a specific segment of interest.

광주광역시 아파트 매매가 영향요인 분석 (An Analysis of the Key Factors Affecting Apartment Sales Price in Gwangju, South Korea)

  • 임성연;고창완;정영선
    • 스마트미디어저널
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    • 제11권3호
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    • pp.62-73
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    • 2022
  • 국내 아파트 매매가 예측에 관한 연구는 현재까지 지속적으로 수행되어 왔지만, 아파트 가격은 다양한 특성이 복합적으로 작용하기 때문에 예측하는데 어려움을 겪고 있다. 아파트 매매가를 예측하는데 앞서 정확도를 높이기 위해서는 주요 변수 선정 및 영향요인 분석이 무엇보다 중요하다. 이에 본 연구는 현재 꾸준한 상승률을 보이는 광주광역시를 대상으로 아파트 매매가에 영향을 주는 요인을 분석해보고자 한다. 이를 위해 6년간의 광주광역시 아파트 실거래가와 각종 사회적 요인 데이터를 토대로, 다중회귀분석, 랜덤 포레스트, 심층인공신경망 알고리즘을 적용하여 각 모델에서 주요 영향요인을 파악하였으며, 모델의 성능은 평균 제곱근 오차, 평균 절대 오차 그리고 결정계수를 통해 비교 분석하였다. 본 연구에서는 딥러닝의 일종인 심층인공신경망의 성능이 가장 우수함을 보였고, 매매가에 영향을 미치는 주요 요인으로 건축경과연수, 계약연도, 적용면적, 양도성예금증서, 주택담보대출금리, 선행지수, 생산자물가지수, 동행지수 등이 도출되었다.

소셜 커머스 지속 사용의도에 관한 연구 (A Study of the Continuous Use Intention of Social Commerce)

  • 홍태호;배련영;최수형;박지영
    • 한국정보시스템학회지:정보시스템연구
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    • 제21권2호
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    • pp.135-160
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    • 2012
  • In this paper, we identified the factors influencing on the continuous use intention of social commerce and analyzed the proposed model empirically using structural equation model, which was developed by considering hedonic and utilitarian shopping value, trust, satisfaction, familiarity, social influence, and perceived price. We collected data for this study by surveying the consumers who had an experience of purchasing through social commerce. An analysis of 212 respondents indicated that utilitarian and hedonic shopping value influenced on satisfaction as both of shopping value are significant statistically. Social commerce gives more attraction their consumers by reducing the price to half, whereas they are expected to present playfulness of shopping. Familiarity, social influence, and perceived price are influential factors in a purchase of social commerce sites. We discuss the implications of our findings for both theory and practice.

온라인 키워드 광고 시장에서 광고 단가에 영향을 미치는 요인 분석 : 키워드 유형, 검색 횟수와 경쟁업체의 수를 중심으로 (Identifying Influencing Factors on the Price Per Click of Keyword Advertising : Focusing on Keyword Type, Search Number and Competition)

  • 이홍주
    • 한국IT서비스학회지
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    • 제11권3호
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    • pp.257-267
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    • 2012
  • Many advertisers utilize sponsored search in search engines since customers want to find relevant information on their purchases from the search engines. Many factors have influences on price per click of the sponsored search. These influences are different based on the types of keywords such as search/experience or prominent/specific. However, differences of the influences have not been studied well. Thus, this study wants to identify the differences of the influences according the type of keywords. One month data of keyword advertising were collected from Naver. The influences of search number, click through rate, and competition on price per click were different according to the keyword types.