Article
Business
Teresa Sanchez-Chaparro, Miguel Angel Soler-Vicen, Victor Gomez-Frias
Summary: In recent years, communicating the sustainability based corporate identity has become crucial for building a positive organizational reputation. This paper presents a methodology for analyzing sustainability based identity as communicated through corporate websites, using a multiple case study approach. Improvement recommendations were provided after a critical assessment of ten Ibero-American companies' websites. A dictionary with 354 keywords and 933 variants was developed for automated content analysis.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Business
George Onofrei, Hung Nguyen, Ying Yang, Raffaele Filieri
Summary: This article examines the impact of entrepreneurial orientation on the triple bottom line through the conduit role of supply chain learning. Findings from 526 firms across nine countries show that entrepreneurial orientation enhances the supply chain learning process and impacts environmental and business performance, while having no effect on social performance. Supply chain learning acts as a mediator in the relationship between entrepreneurial orientation and the triple bottom line.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Business
Toan Tran, Seongtae Kim, Byung-Gak Son, M. Ramkumar
Summary: This study examines the associations between lean manufacturing (LM), sustainability practices, and corporate performance in the form of the triple bottom line (TBL). LM is positively associated with environmental practices (EPs), social practices (SPs), and TBL performance. However, when LM interacts with EPs, SPs, or both, it has a detrimental effect on TBL performance.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Carolina Belotti Pedroso, Wendy Lea Tate, Andrea Lago da Silva, Luiz Cesar Ribeiro Carpinetti
Summary: This research provides an overview of TBL supplier development practices aimed at delivering triple bottom line outcomes. It categorizes the practices, illustrates their implications, proposes a conceptual model, and develops a research agenda for future studies.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Blanka Tundys, Tomasz Wisniewski
Summary: The purpose of this paper is to investigate the use of sustainability elements in the context of triple bottom line (TBL) to build sustainable supply chain resilience. The paper contributes to the literature by utilizing structural equation modelling to relate TBL context to the building of sustainable supply chain resilience. The research findings highlight the significance of individual sustainability factors in the context of supply chain resilience.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Multidisciplinary Sciences
Sreenivasan Jayashree, Mohammad Nurul Hassan Reza, Chinnasamy Agamudai Nambi Malarvizhi, Muhammad Mohiuddin
Summary: Industrialization has posed many environmental challenges, and Malaysia's "Industry4ward" approach aims to promote technological development. However, there is limited empirical evidence on the implementation of Industry 4.0 in SMEs. This study found that top management commitment and IT infrastructure significantly impact the implementation and sustainability of Industry 4.0, while supply chain integration does not have a significant effect on SMEs.
Article
Environmental Sciences
Fazal Ur Rehman, Solomon Gyamfi, Samma Faiz Rasool, Fazal Akbar, Khawar Hussain, Viktor Prokop
Summary: This study examines the impacts of circular economy innovation (CEI) on the triple bottom lines (TBL) efficiencies and market competitiveness among production SMEs in emerging economies. The findings reveal that CEI has a positive significant effect on market competitiveness and TBL efficiencies. Market competitiveness mediates the relationship between CEI and TBL efficiencies. This study provides theoretical foundations for environmental-based production SMEs to formulate sustainable strategies and offers guidance to policy makers and environmental regulators.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Fatih Ecer
Summary: This paper focuses on performance assessment of existing onshore wind plants and proposes a structural methodology for sustainability evaluation. The research finds that the environmental dimension is the most significant, followed by economic and social dimensions. Distance to protected areas is the most important factor in terms of sustainability performance, with wind plants in the north side of Izmir showing higher sustainability performance.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Business
Agnieszka Karman, Viktor Prokop, Carlo Giglio, Fazal Ur Rehman
Summary: The Covid-19 pandemic has led to a worldwide decline in stock markets, causing financial problems for organizations. Protecting and preserving firm value is crucial for organizations to survive the crisis. This study examines the relationship between green initiatives, the triple bottom line (TBL), and firm value in the periods before and during the Covid-19 crisis. The findings indicate that firms with higher green initiatives tend to have better TBL performance during normal periods, and the economic and social dimensions of TBL positively influence firm value regardless of the period.
CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Studies
Diego Augusto de Jesus Pacheco, Carla Schwengber ten Caten, Carlos Fernando Jung, Isaac Pergher, Julian David Hunt
Summary: This study examines the synergies and divergences between PSS and SPSS to deliver TBL solutions to society. The findings suggest that, from a TBL perspective, SPSS is an emerging and promising approach in which the environmental and social dimensions are more salient than in the traditional PSS models.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2022)
Article
Chemistry, Multidisciplinary
John Angelopoulos, Dimitris Mourtzis
Summary: Under the framework of Industry 4.0, the rise of smart and personalized production poses challenges for maintenance and repair operations. Through the use of augmented reality technology and product service systems, manufacturing companies are continuously offering more services to enhance user experience.
APPLIED SCIENCES-BASEL
(2022)
Article
Management
Yucel Ozturkoglu, Yigit Kazancoglu, Yesim Deniz Ozkan-Ozen
Summary: Ship dismantling has severe impacts on human health and the environment, making it crucial to adopt sustainable approaches. This study investigates the relationship between ship design criteria and the sustainability dimensions of human, environment, and business. It provides recommendations for sustainable ship dismantling practices.
INTERNATIONAL JOURNAL OF SHIPPING AND TRANSPORT LOGISTICS
(2022)
Article
Green & Sustainable Science & Technology
Dun Li, Youlin Huang, Hui Sun, Bangdong Zhi
Summary: This study provides empirical evidence for the sustainable performance of sharing-based product service systems in the sharing economy context. Through a multiple case study, the study identifies the influence of structural and infrastructural aspects of service delivery system design on the sustainability of sharing economy platforms. Contingency factors such as goal congruence and application of information and communications technology are found to affect the relationship between service delivery system design and sustainability initiatives. This study has significant practical implications for sharing economy platforms.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Business
Lucas Santos Dalenogare, Marie-Anne Le Dain, Guilherme B. Benitez, Nestor F. Ayala, Alejandro G. Frank
Summary: This study aims to understand how multichannel digital services can be supported by the integration of real-time data from service ecosystems to provide Smart PSS business models. Using the organizational information-processing theory, the study considers the integration of data from ecosystem actors (other business units, suppliers, and customers). Through a survey of 92 manufacturers, the study provides a typology of different Smart PSS business models and reveals the flow of data in the ecosystem.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Computer Science, Artificial Intelligence
Henri Meess, Michael Herzog, Enes Alp, Bernd Kuhlenkoetter
Summary: Offering Product-Service Systems (PSS) is an established strategy for companies to increase customer value and ensure competitiveness. Designing PSS business models is challenging due to their long-term nature and the need to anticipate and mitigate risks. Additionally, the large number of possible business models presents a challenge for developers to select the best one. This article proposes a simheuristic optimization approach to test and evaluate PSS business models in the design phase and select the best configuration beforehand.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Green & Sustainable Science & Technology
Hyejong Min, Junghwan Yun, Youngjung Geum
Article
Computer Science, Artificial Intelligence
Youngjung Geum, Mirae Kim
ADVANCED ENGINEERING INFORMATICS
(2020)
Article
Computer Science, Interdisciplinary Applications
Junghwan Yun, Youngjung Geum
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Computer Science, Interdisciplinary Applications
Uijun Kwon, Youngjung Geum
Article
Business
Mingyu Park, Youngjung Geum
Summary: This study suggests a new method for developing new service ideas through data-driven morphological analysis, aiming to help managers generate more service-specific and creative ideas.
Article
Business
Mintak Han, Youngjung Geum
Summary: This article introduces the concept of data-integrated technology roadmapping (TRM) and proposes relevant structures, typologies, and processes to integrate data into technology roadmaps. The practical examples demonstrate the high practical value of the suggested data-integrated TRM.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2022)
Article
Business
Junhan Kim, Youngjung Geum
Summary: This study proposes a systematic and concrete framework to develop data-driven technology roadmaps, consisting of three phases: layer mapping, contents mapping, and opportunity finding. This contributes to the field by providing a systematic method for data-driven roadmapping and offering data-driven evidence for more reasonable decision-making by experts.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Business
Sohee Ha, Youngjung Geum
Summary: This study proposes a concrete framework for generating new service ideas using an M&A dataset by extracting service-specific keywords and phrases from the text. It utilizes an integrated approach of QFD and MA to extract service actions and contents from text using natural language processing, providing practical guidance and tools for new service development.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Computer Science, Artificial Intelligence
Mintak Han, Youngjung Geum
Summary: Online communities have become an important source of innovation, as lead users openly share their experiences and knowledge. However, existing studies have limitations in reflecting lead users' characteristics into the case-based reasoning process. This research proposes a problem-oriented approach that defines problems using sentiment analysis and improves case representation and retrieval using SAO analysis and technology tree.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Business
Mingyu Park, Youngjung Geum
Summary: In this study, a graph convolution network (GCN)-based patent-link prediction model is proposed to predict technology convergence. The study addresses limitations of previous works by considering global information and node features. Machine learning is used for link prediction and portfolio analysis supports firm-level decision making.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Junhan Kim, Woojin Jeon, Youngjung Geum
Summary: It is acknowledged that convergence plays a crucial role in driving innovation in the modern business environment, especially with the increasing complexity of technology and diverse customer needs. However, the analysis of industry convergence has been limited due to insufficient comprehensive data. This article utilizes merger and acquisition information from Crunchbase dataset to analyze the dynamic trends of industry convergence. The findings provide valuable insights for managers and policymakers in understanding the changes and future trends in industry convergence.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Business
Youngjung Geum, Clare Farrukh, Sungjoo Lee
Summary: We propose a method to assess and update the technology roadmapping process. By drawing on existing literature, we define the ideal roadmapping process and suggest an integrated framework to guide its improvement. To validate its effectiveness, we applied this method to roadmapping conducted by a Korean government agency. The assessment guidelines helped the organization identify strengths and weaknesses in their roadmap process and develop an approach for enhancement.
JOURNAL OF ENGINEERING AND TECHNOLOGY MANAGEMENT
(2023)
Article
Management
Sungjoo Lee, Youngjung Geum
Summary: The concept of "lean start-up" emphasizes developing products or services with minimal effort and iterative releases to shorten the life cycle; Defining MVP is crucial for success, and this article proposes a systematic approach using the Kano method; The case study demonstrates the importance of core MVP, feasible MVP, and next priority MVP in determining success.
TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE
(2021)
Article
Management
Junghwan Yun, Youngjung Geum
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT
(2019)
Article
Computer Science, Information Systems
Mirae Kim, Youngjung Geum
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
