• 제목/요약/키워드: Partial least squares

검색결과 614건 처리시간 0.031초

조직 기업가 정신이 구성원의 조직몰입과 성과에 미치는 영향: 한국 외식 프랜차이즈 산업 (The Impact of Corporate Entrepreneurship on Employee Commitment and Performance: Evidence from the Korean Food Franchising Sector)

  • 박희현;류용규
    • 한국프랜차이즈경영연구
    • /
    • 제7권2호
    • /
    • pp.5-14
    • /
    • 2016
  • Purpose - Competitive industry structure and recent economic depression challenge a survival of Korean small- and medium-sized food franchising companies (SMFCs), albeit the explosive growth of the Korean food service industry for last few decades. Against this backdrop, it examines how these SMFCs overcome liabilities of smallness and resource scarcity to strengthen competitive advantage in the market. To tackle this, in this article we focus on corporate entrepreneurship and human resources as a knowledge-based asset for these SMFCs. Furthermore, the ratio of employee turnover is high in SMFCs. We view that such brain-drain may result in poor performance of the Korean SMFCs. As such, we pay attention to the role of organizational commitment to an organization as a solution for enhancing individual-level employees' loyalty toward their organization. Research design, data, and methodology - Our research question is to what extent corporate entrepreneurship (i.e., innovative organizational culture, organizational autonomy, and administrative innovation) affects an individual-level attitude toward the organization and, in turn, employee creativity and satisfaction in the Korean SMFCs context. We collected data from employees in SMFCs for three months. A total of 126 valid questionnaires were collected, and analyzed the data using partial least squares path modeling. Results - The reliable and valid measurement model feed into testing the structural model. Our findings suggest that innovative organizational culture and organizational autonomy positively affect employee commitment. Particularly, organizational autonomy has a greater effect than innovative culture on employee commitment. However, the relationship between administrative innovation and employee commitment is not significant. We also find that employee commitment positively affects both employee creativity and satisfaction. Conclusions - Our contribution to the existing franchising business and management literature is twofold. First, the conceptual model includes three antecedents in the organizational entrepreneurship dimension to organizational commitment. Second, we conceptualize organizational commitment as employee commitment, and validate its impact on employee creativity and job satisfaction at an individual performance level. Overall, this article suggests that it is critically important for the Korean SMFCs to develop corporate entrepreneurship in order to facilitate employees' positive attitudes toward their organizations.

XRD 스펙트럼의 비음독립성분분석을 통한 혼합물 구성비 결정 (Determination of mixing ratios in a mixture via non-negative independent component analysis using XRD spectrum)

  • 유한민;전치혁;이혜선;홍재화
    • 분석과학
    • /
    • 제20권6호
    • /
    • pp.502-507
    • /
    • 2007
  • X 선 회절법은 물질 내부에 원자의 배열 상태를 연구하는데 널리 사용되는 실험 방법으로써 넓은 응용 범위를 가지고 있다. 특히 분말 X 선 회절법은 비파괴적으로 다양한 형태의 시료에 대한 측정이 가능하기 때문에 결정의 배향성, 결정의 크기, 결정 내부의 응력 측정 등에 널리 이용되고 있다. 분말 X 선 회절 방법을 이용하여 혼합물의 성분을 정량적으로 측정하기 위해서는 시료를 구성하고 있는 source 스펙트럼을 도출하고 혼합된 시료의 XRD 스펙트럼에 회귀식을 적합시켜 혼합물 구성비를 얻는 방법이 제안된 바 있다. 그러나 구성성분의 특성상 스펙트럼의 피이크가 폭이 좁고 민감한 경우에는 노이즈의 영향을 받아 도출된 source 스펙트럼이 원래의 순수성분의 형태와 달리 나타날 수 있다. 특히 순수성분 시료를 구할 수 없거나 측정이 불가능한 경우 혼합물 구성비 측정에 어려움이 있다. 본 연구에서는 노이즈 간섭에 의한 source 스펙트럼 도출의 문제를 해결하는 방안으로 비음독립성분분석을 이용하여 혼합된 미지시료로부터 순수한 성분에 해당하는 스펙트럼을 분리해내는 방법을 제안하고자 한다.

라이브커머스에서 가상실재감의 효과와 결정요인 연구: 라이브쇼핑 매체 및 인플루언서 특성을 중심으로 (A Study on the Effect and Determinants of Virtual Presence in Live Commerce: Focusing on the Characteristics of Live Shopping Media and Influencers)

  • 최수정;김태경
    • 한국정보시스템학회지:정보시스템연구
    • /
    • 제32권1호
    • /
    • pp.23-51
    • /
    • 2023
  • Purpose: Live commerce is a new type of electronic commerce in combination with live streaming services. It is expected to increase virtual presence in the context of online shopping by overcoming a lack of social interactions between sellers and buyers which have been raised as a limitation in electronic commerce. Drawing on the studies of communication media, this study examines how live commerce contributes to the increase of virtual presence which consists of telepresence and social presence. Telepresence refers to a buyer's perception that he or she is present at the physical shopping mall during live shopping streaming whereas social presence refers to a buyer's perception of social interaction with a seller which is human warm, social, sensitive, and personal. In this study, we verify key determinants of virtual presence and its consequences. More specifically, this study proposes virtual presence contributes to the increase of buyers' trust in products and further purchase intentions. Furthermore, we verify influential factors of virtual presence from the technical and influencer perspectives of live commerce. Design/methodology/approach: To test the proposed hypotheses, the partial least squares (PLS) analysis is conducted with a total of 250 data collected on users with experience in the TaoBao live streaming shopping platform. Findings: The results show that first, telepresence and social presence are increased by visibility, media richness and attractiveness in the context of live shopping streaming. Second, buyers' trust in product trust and purchase intentions are positively influenced by telepresence and social presence. Finally, buyers' trust in product has a direct, positve effect on their purchase intentions. Overall, the findings offer new insights into the studies of electronic commerce by introducting the concepts of virtual presence and media richness from the literature of communication media in the field of live commerce.

Characteristics of Doenjang (Soybean Paste) Fermented with Multiple Starters Including Tetragenococcus halophilus

  • Ji Yeon Yoo;Dong Sin Kim;Tae Jin Kim;Yun Ji Kang;Min Jae Kim;Jeong Hwan Kim
    • 한국미생물·생명공학회지
    • /
    • 제51권2호
    • /
    • pp.147-156
    • /
    • 2023
  • Tetragenococcus halophilus CY54, an isolate from jeotgal, grows best in media with 5% NaCl and can grow at 18% and higher salt concentration. Three different doenjang samples were prepared with multiple starters including T. halophilus CY54. TBZA doenjang was prepared with T. halophilus, Bacillus subtilis, Zygosaccharomyces rouxii and Aspergillus oryzae. BZA doenjang was prepared with the same 3 starters except T. halophilus. KACC doenjang was prepared with a single starter, B. subtilis KACC16750. During 16 weeks of fermentation at 25℃, the viable counts were maintained in the range of 7-8 log CFU/g in all 3 samples. As fermentation progressed, pH decreased and titratable acidity (TA) gradually increased. Crude protein contents decreased slightly. TBZA doenjang showed higher amino-type nitrogen (ANN) and volatile basic nitrogen (VBN) contents, and KACC doenjang showed higher ammonia-type nitrogen (AMN) content. TBZA doenjang showed higher fibrinolytic and protease activity than other doenjang samples. Metabolites analyses by GC/MS showed that doenjang samples were separated from each other by partial least squares-discriminant analysis (PLS-DA) analysis. Seventeen major metabolites involved in the differences between samples were identified and they included organic acids, amino acids, sugars, fatty acids and alcohols. TBZA doenjang showed higher contents for most metabolites responsible for flavor and taste of fermented foods including doenjang. These results showed that T. halophilus could be useful as a starter for doenjang and can improve the product quality by accelerating the fermentation processes.

청소년의 우울, 자아존중감이 학업무기력에 미치는 영향: 사회적 위축의 매개효과 (The Effect of Depression and Self-esteem on Academic Helplessness in Adolescents: Mediating Effect of Social Withdrawal)

  • 이상미
    • 산업융합연구
    • /
    • 제21권8호
    • /
    • pp.119-127
    • /
    • 2023
  • 본 연구는 청소년의 학업무기력에 영향을 미치는 우울, 자아존중감 및 사회적 위축의 구조적 관계를 알아보기 위해 수행되었다. 한국아동·청소년패널조사 2018의 중 1패널의 제4차 년도(2021년) 자료를 이용하였으며, 대상자는 고등학교 1학년 2,265명이었다. 본 연구에서 자료는 SmartPLS 3.0을 이용하여 부분최소제곱법 기반의 구조방정식모형을 통해 분석되었다. 분석 결과, 청소년의 학업무기력에 우울과 사회적 위축은 유의한 정적 영향을 주었으며, 자아존중감은 유의한 부적 영향을 주었다. 또한 우울과 학업무기력 간의 관계에서 사회적 위축은 유의한 정적 매개영향을 주었다. 그러므로 청소년의 학업 무기력에 대한 접근 시 우울, 자아존중감 및 사회적 위축과의 영향 관계를 고려한 전략이 요구된다.

사내기업가정신이 의료기관의 조직유효성에 미치는 영향 : 사내 혁신·창업 공모전 참여동기의 매개효과와 전담조직 지원의 조절효과 (The Effect of Corporate Entrepreneurship on Organizational Effectiveness of Medical Institutions : Mediating Effect of Motivation to Participate in The In-house Innovation & Start-up Contest and Moderating Effect of Support from a Dedicated Organization)

  • 한재훈;박병진
    • 한국병원경영학회지
    • /
    • 제28권3호
    • /
    • pp.68-86
    • /
    • 2023
  • Purpose: The purpose of this study is to explore the relationship between corporate entrepreneurship and organizational effectiveness among employees of medical institutions. In addition, we aim to investigate the mediating effect of motivation to participate in the In-house Innovation & Start-up Contest and the moderating effect of support from a dedicated organization. Methodology/Approach: A survey was conducted on participants in the 3rd in-house contest held in 2023 at Granum Sinapis Center of Seoul St. Mary's Hospital. A total of 122 people responded to the survey. The collected data were analyzed PLS-SEM(Partial Least Squares-Structural Equation Model) using SmartPLS 4.0 program. Findings: First, 'Corporate entrepreneurship' had an effect on 'Participation motivation in in-house contest'. Second, 'Corporate entrepreneurship' had an effect on 'Organizational Effectiveness'. Third, 'Participation motivation in in-house contest' mediated the relationship between 'Corporate entrepreneurship' and 'Organizational Effectiveness'. And last, 'Support from a dedicated organization' had no moderating effect on the relationship between 'Corporate entrepreneurship' and 'Organizational Effectiveness'. Practical Implications: Since the dedicated organization is in the early stages of operation, there may be no moderating effect on organizational effectiveness. If follow-up research is conducted after the dedicated organization's system has been supplemented, the moderating effect may appear differently.

  • PDF

Proximate Content Monitoring of Black Soldier Fly Larval (Hermetia illucens) Dry Matter for Feed Material using Short-Wave Infrared Hyperspectral Imaging

  • Juntae Kim;Hary Kurniawan;Mohammad Akbar Faqeerzada;Geonwoo Kim;Hoonsoo Lee;Moon Sung Kim;Insuck Baek;Byoung-Kwan Cho
    • 한국축산식품학회지
    • /
    • 제43권6호
    • /
    • pp.1150-1169
    • /
    • 2023
  • Edible insects are gaining popularity as a potential future food source because of their high protein content and efficient use of space. Black soldier fly larvae (BSFL) are noteworthy because they can be used as feed for various animals including reptiles, dogs, fish, chickens, and pigs. However, if the edible insect industry is to advance, we should use automation to reduce labor and increase production. Consequently, there is a growing demand for sensing technologies that can automate the evaluation of insect quality. This study used short-wave infrared (SWIR) hyperspectral imaging to predict the proximate composition of dried BSFL, including moisture, crude protein, crude fat, crude fiber, and crude ash content. The larvae were dried at various temperatures and times, and images were captured using an SWIR camera. A partial least-squares regression (PLSR) model was developed to predict the proximate content. The SWIR-based hyperspectral camera accurately predicted the proximate composition of BSFL from the best preprocessing model; moisture, crude protein, crude fat, crude fiber, and crude ash content were predicted with high accuracy, with R2 values of 0.89 or more, and root mean square error of prediction values were within 2%. Among preprocessing methods, mean normalization and max normalization methods were effective in proximate prediction models. Therefore, SWIR-based hyperspectral cameras can be used to create automated quality management systems for BSFL.

온라인 식료품 소비자의 그림자노동인식이 모바일 쇼핑회피와 전환행동에 미치는 영향 (Impacts of e-Grocery Consumers' Shadow Work on Mobile Shopping Avoidance and Switching Behavior)

  • 박상철;김종욱
    • 경영정보학연구
    • /
    • 제23권4호
    • /
    • pp.165-182
    • /
    • 2021
  • 코로나19는 소비자의 소비패턴을 비대면 방식으로 전환시켰다. 소비패턴이 디지털화되면서 소비자는 자신이 스스로 해야 하는 일들이 수반되는 이른바 그림자노동을 수행하는 것이 일상이 되었다. 온라인 식료품 서비스 이용 과정에서 소비자가 그림자노동을 인식한다면, 이는 온라인 쇼핑 회피는 물론 다른 채널로의 전환에도 영향을 줄 수 있다. 이에 본 연구에서는 소비자의 그림자노동인식이 모바일 쇼핑회피와 채널전환의도에 어떠한 영향을 미치는지를 검증하고자 한다. 본 연구는 식료품 구독 서비스 경험이 있는 소비자 283명을 대상으로 온라인 설문조사를 통해 연구자료를 수집하고 PLS 분석을 통해 그림자노동인식에 대한 효과를 검증하였다. 분석결과, 사용자의 그림자노동인식은 모바일 쇼핑회피는 물론 채널전환의도에 긍정적인 영향을 미치는 것으로 나타났으며, 모바일 쇼핑회피 또한 채널 전환의도에 긍정적인 영향을 미치는 것으로 나타났다. 본 연구의 결과는 그림자노동 관련 연구와 모바일 쇼핑 서비스관련 연구분야에 학문적 기여가 가능하며, 플랫폼 및 큐레이션 기업에 실무적 시사점을 제안할 수 있다.

A Case Study of Decision-Making Towards Using Online Food Distribution Services After Covid-19 In Vietnam

  • Thuc Duc TRAN;Thong Van PHAM;Phu Cam Thi NGUYEN;Loc Tan LOUIS;Ngoc Nhu Thi LE
    • 유통과학연구
    • /
    • 제22권3호
    • /
    • pp.33-47
    • /
    • 2024
  • Purpose: Most emerging-market countries are concerned about the technology boom, which is accompanied by an increase in revenue from online sales and services. This finding has been demonstrated during the COVID-19 pandemic; however, is this tendency continuing in the new normal, and what factors are driving the increase in consumer decisions? The purpose of this research is to investigate how the decision to utilize online services will be affected in the new normal as well as propose a new research approach in this field. Research Design, Methodology and Approach: By following a deductive research method associated with positivist philosophy, a survey in South Vietnam with 426 respondents using a convenience sampling method was conducted. The reliability of the measurement scales was examined by using the SPSS program. The SmartPLS programme was utilised to assess the measurement and structural models as well as test hypotheses by using partial least squares structural equation modelling. Results: According to the research findings, decision-making has been impacted by social influences, perceived usefulness, perceived ease of use, perceived trust, perceived price, and perceived convenience. Conclusions: The research results also bring significant contributions not only in practice in providing management implications but also in theory. The research model has also demonstrated the feasibility of employing the stimuli-organism-response framework and combining the theory of perceived risk with the technology acceptance model via the explanation of decision-making.

A comparison of ATR-FTIR and Raman spectroscopy for the non-destructive examination of terpenoids in medicinal plants essential oils

  • Rahul Joshi;Sushma Kholiya;Himanshu Pandey;Ritu Joshi;Omia Emmanuel;Ameeta Tewari;Taehyun Kim;Byoung-Kwan Cho
    • 농업과학연구
    • /
    • 제50권4호
    • /
    • pp.675-696
    • /
    • 2023
  • Terpenoids, also referred to as terpenes, are a large family of naturally occurring chemical compounds present in the essential oils extracted from medicinal plants. In this study, a nondestructive methodology was created by combining ATR-FT-IR (attenuated total reflectance-Fourier transform infrared), and Raman spectroscopy for the terpenoids assessment in medicinal plants essential oils from ten different geographical locations. Partial least squares regression (PLSR) and support vector regression (SVR) were used as machine learning methodologies. However, a deep learning based model called as one-dimensional convolutional neural network (1D CNN) were also developed for models comparison. With a correlation coefficient (R2) of 0.999 and a lowest RMSEP (root mean squared error of prediction) of 0.006% for the prediction datasets, the SVR model created for FT-IR spectral data outperformed both the PLSR and 1 D CNN models. On the other hand, for the classification of essential oils derived from plants collected from various geographical regions, the created SVM (support vector machine) classification model for Raman spectroscopic data obtained an overall classification accuracy of 0.997% which was superior than the FT-IR (0.986%) data. Based on the results we propose that FT-IR spectroscopy, when coupled with the SVR model, has a significant potential for the non-destructive identification of terpenoids in essential oils compared with destructive chemical analysis methods.