920 research outputs found
EO and supply chain talent management : Exploring how EO influences the development and retention of supply chain talent
No full textThis paper examines the impact of Entrepreneurial Orientation (EO) on the development and retention of supply chain talent within global organizations. By analyzing how EO influences innovation, operational efficiency, and employee engagement, the research reveals that EO plays a vital role in empowering supply chain professionals to take risks, develop new skills, and lead strategic initiatives. The findings suggest that EO contributes significantly to building resilient and adaptable supply chains while enhancing talent retention by creating a fulfilling work environment. However, the study also identifies limitations in the universal application of EO, particularly in smaller firms or varying cultural contexts, and outlines directions for future research. This paper provides essential insights for both academics and practitioners on how to effectively integrate EO into supply chain talent management strategies for sustainable competitive advantage
Understanding the factors critical to success of PPPs in New Zealand: Public and private sector standpoint
No full textFALS
Entrepreneurial orientation and supply chain collaboration : Unraveling the Role of EO in strengthening interorganizational networks
No full textThis chapter explores the role of Entrepreneurial Orientation (EO) in strengthening supply chain collaboration and interorganizational networks. EO, encompassing innovativeness, proactiveness, and risk-taking, significantly impacts supply chain performance by fostering innovation, enhancing agility, and facilitating bold strategies. The chapter examines the theoretical underpinnings of EO, mechanisms through which EO influences supply chain practices, and practical case studies from firms like Tesla, Zara, Alibaba, Unilever, and Amazon. It identifies challenges and barriers such as potential conflicts, balancing EO with supply chain stability, and organizational culture issues. Emerging trends, including digital transformation, sustainability, and the role of AI and big data, are discussed as key drivers shaping the future of EO-driven supply chain management. The chapter concludes with insights on the implications for theory and practice, and recommendations for future research, highlighting the importance of EO in achieving resilient and adaptive supply chains
Polylithic Integration of SAW Devices using Quartz-on-Silicon Process for True Single Chip Radio
No full textThe author would like to thanks LG Innotek Company for the fabrication of high Q SAW resonator. This work is supported by MICROS (Micro Information and Communication Remote Object-oriented System) Research Center
Barriers And Enablers For Supply Chain Integration In Prefabricated Elements Manufacturing In New Zealand
No full textThe attention on prefabricated modules and components is resurging in the New Zealand residential construction industry. This is driven by its relative benefits and technological advancements. However in spite of this attention, there has not been commensurate
understanding of its manufacturing supply chain and the enhancement of their performance. Similarly, there has been little research considering the supply chain and supply chain integration in module/component manufacturing in residential construction in New Zealand.
Therefore, this paper presents a comprehensive overview of the modular manufacturing process and the barriers and enablers for supply chain integration in module manufacturing. The identified barriers are discussed with their relevant enablers. Information for the study investigation was collected through twelve semi-structured face to face interviews with prefabrication experts. The information obtained was analysed using content analysis that enabled the development of a framework that illustrates barriers and enablers for supply chain integration. Ad-hoc relationships, poor planning and scheduling, transporting of volumetric modules and information sharing are a few significant barriers in the manufacturing process of modular bathroom pods and wall panels in New Zealand. The proposed framework provides a guide for the wall panel and bathroom pods manufacturing companies to improve integration across their entire manufacturing process.FALS
Quantifying the Uncertainty of Short-Term Vegetation Anomalies Detection Using Eo-Based Coarse-Resolution Vegetation Products
No full textSatellite-based Earth Observation systems archived a variety of vegetation products during the last 50 years, which can reveal regional to global ecosystem dynamics across diverse spatiotemporal scales. The anomaly metrics such as Vegetation Condition Index (VCI) defined by comparing the current vegetation growth condition to historical average status based on long-term EO-based vegetation products were widely used to delineate abnormal vegetation variation exerted by either climatic or anthropogenic factors (e.g., droughts, wildfires). However, currently available long-term vegetation products may differ from each other in terms of sensors (observational platform or spectral bands), bio-physical definitions (e.g., NDVI, EVI, LAI, and VOD), spatiotemporal resolution, as well as the time-spans, which results in inconsistency across these vegetation products. Taking the VCI as an example, this study evaluated the uncertainty of vegetation anomalies detected based on different vegetation products over the middle reach of the Yangtze River by explicitly considering the effect of sensors, biophysical definitions, and time-spans. The preliminary results showed that VCI derived from NDVI products from different sensors (AVHRR vs. MODIS) induced significant inconsistent anomalies over most landscapes. The differences resulting from products with different biophysical definitions (NDVI vs. EVI, LAI, and VOD) are much lower than those from different sensors but still significant over specific areas. As for the time-spans, the 20-year NDVI based VCI presented a considerable reduction in variance over the study area on average compared to VCI calculated based on 5-year NDVI. In summary, caution should be taken when applying EO-based vegetation products for vegetation anomalies mapping, especially for quantitative assessment.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Optical and Laser Remote Sensin
Carbon footprint of residential building construction in Christchurch
No full textConstruction projects ranging from small residential to commercial buildings produce significant proportion of carbon emissions in New Zealand. Christchurch is growing with an increasing rate with a large number of residential building construction projects currently in progress or being planned. In this research, the life cycle greenhouse gas (GHG) emissions and energy analysis of some typical residential houses built recently in Christchurch will be investigated. A life cycle assessment (LCA) will be carried out, taking into account the supply of construction materials as well as the construction activities. The life cycle GHG emissions and embodied energy of the case study buildings will be calculated. The project is currently in the early stages and this paper presents briefly the preliminary works undertaken so far and the anticipated results. It is expected the project will provide results on the GHG emissions and embodied energy associated with the construction of typical residential buildings in Christchurch where the critical stages in the construction process of the buildings that
cause the major GHG emissions are identified and discussed
Real-Time Project Productivity Tracking System: Practical Case in Smart Construction Projects
No full textMotivation: The productivity and progress tracking systems are currently used in construction projects
to acquire the site works data and converting to various digital reports.
Knowledge gap: To date, capturing and transferring data processes are slow or inefficient because significant human errors occur in the process. Therefore, project managers can omit critical information, and no timely decision can be made related to delay and unproductivity.
Aim and objectives: The purpose of this paper is to encompass a real-time project productivity tracking
system to register data and manage delays related to an Electrical and Instrument service trade involved
in smart construction projects in New Zealand.
Research method: The paper aimed to review industries delay reports, use expert judgment experience,
and compare the proposed method with current ones.
Preliminary or anticipated findings: The finding shows the proposed method uses a combination of
smartphone and Ms Project real-time monitoring software to optimise the current site reporting
procedure and workflow of productivity managing.
Research significance: The presented method should help construction decision-makers enhance time
and cost-effectiveness and manage delay better alongside more effective decisions. Meanwhile, hours
booked to collect data and update programs and models dropped by 24%.fals
How Multidimensional Approach of Entrepreneurial Orientation (EO) Effect Firm Performance: A Critical Review
No full textResearch aims: This research aims to have a better understanding of relationship between EO and firm performance, a critical review of multidimensional approach to EO-firm performance is conducted in this paper.Design/Methodology/Approach: This is a qualitative research method which follow rigor of literature review and matrix review process from the selected papers. This paper aims to synthesize, evaluate the review, and then represent the dimension of EO on firm performance from multidimensional approach.Research findings: This study advances integrative framework to represent EO dimensions which explicates some pathways for entrepreneurs to implement EO on their business organization, else, in order to elevate sustainable growth. Also, this study concludes the most effective EO recipes for firm performance.Theoretical contribution/ Originality: This study does not only discuss the importance of EO in firm performance but also describe on how firms able to attain best performance in uncertain condition. The author stated innovativeness and competitive aggressiveness as the best EO recipes for enhancing firm performance.Practitioner/Policy implication: This study gives beneficial information to entrepreneurs about EO dimensions for enhancing firm performance.Research limitation/Implication: The study is limited to ten selected papers that confirms the application of EO dimensions on firm performance. Future research should explore more factors that explain EO-Firm relationshi
An Observation Capability Metadata Model for EO Sensor Discovery in Sensor Web Enablement Environments
No full textAccurate and fine-grained discovery by diverse Earth observation (EO) sensors ensures a comprehensive response to collaborative observation-required emergency tasks. This discovery remains a challenge in an EO sensor web environment. In this study, we propose an EO sensor observation capability metadata model that reuses and extends the existing sensor observation-related metadata standards to enable the accurate and fine-grained discovery of EO sensors. The proposed model is composed of five sub-modules, namely, ObservationBreadth, ObservationDepth, ObservationFrequency, ObservationQuality and ObservationData. The model is applied to different types of EO sensors and is formalized by the Open Geospatial Consortium Sensor Model Language 1.0. The GeosensorQuery prototype retrieves the qualified EO sensors based on the provided geo-event. An actual application to flood emergency observation in the Yangtze River Basin in China is conducted, and the results indicate that sensor inquiry can accurately achieve fine-grained discovery of qualified EO sensors and obtain enriched observation capability information. In summary, the proposed model enables an efficient encoding system that ensures minimum unification to represent the observation capabilities of EO sensors. The model functions as a foundation for the efficient discovery of EO sensors. In addition, the definition and development of this proposed EO sensor observation capability metadata model is a helpful step in extending the Sensor Model Language (SensorML) 2.0 Profile for the description of the observation capabilities of EO sensors
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