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    A model to evaluate effectiveness of lean and ISO 14001 implementation on environmental benefits in the meat industry : a thesis presented in partial fulfillment of the requirement for the degree of Doctor of Philosophy in Engineering Management, School of Food and Advanced Technology, Massey University, Auckland, New Zealand

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    Excessive emissions of greenhouse gases, production of wastes (organic and inorganic) and inefficient utilisation of resources have drastic impacts on the operational and environmental performance in the meat industry. Reducing waste and processing environmentally friendly meat products have long been desired in meat processing and is still considered as a promising strategy to yield environmentally friendly products. ISO 14001 is a voluntary environmental management system standard that provides a continuous improvement framework to reduce environmental impacts and improve environmental performance. Lean is used as a strategy for minimising waste and non-value-adding activities focusing on increasing customer satisfaction, which also has a positive impact on the environment. Besides, continuous improvement is at the very core in both approaches. This study evaluates the environmental performance in the meat industry through the joint application of lean and ISO 14001. Further, a conceptual model is developed through literature synthesis which combines the lean and ISO 14001 strategies to achieve the environmental performance benefits that could be applied to the meat industry. The study uses the natural resource-based view (NRBV) as its theoretical lens to understand lean and ISO 14001 implementation as a combined approach for improving environmental performance outcomes in the meat industry. A preliminary study and subsequent multiple-case studies are employed as a qualitative research design for this evaluation. In the first phase of the study, semi-structured interviews with lean and ISO 14001 consultants are conducted to evaluate the implementation of lean and ISO 14001 as a combined approach for improving environmental performance in the meat industry. Next, multiple-case studies are conducted in three meat processing organisations – two in New Zealand and one in Ireland – to evaluate the effectiveness of implementing both lean and ISO 14001 strategies together for achieving environmental benefits. This study reveals that the application of the NRBV competencies (e.g., strategic planning and human) for a joint lean and ISO 14001 implementation helps to enhance natural capabilities (i.e., pollution prevention, product stewardship and sustainable development). For instance, lean and ISO 14001 implementation as a combined approach helps to better achieve pollution prevention (e.g., reduction of wastewater and greenhouse gas emissions), product stewardship (e.g., recycling of wastewater and introduction of renewable resources) and sustainable development (e.g., sustainable resources usage and environmental awareness). This research contributes to presenting key practitioner insights on the implementation of lean and ISO 14001 for improvement of environmental performance as well as provides factors for successful implementation of both strategies in the meat industry. A model is developed for lean and ISO 14001 implementation through empirical evidence and competencies and capabilities of the NRBV lens to help practitioners, policymakers, consultants and academia in their future work to improve environmental performance

    A green-lean-six sigma model for environmental performance in manufacturing organizations : a study of a developed and developing nation : a thesis presented in partial fulfilment of the requirement for the degree of Doctor of Philosophy in Engineering Management, School of Food and Advanced Technology, Massey University, Auckland, New Zealand

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    Table 2.2 (=Kumar et al 2016) was removed for copyright reasonsManufacturing organizations continue to face environmental challenges including greenhouse gas (GHG) emissions, large-scale energy consumption, and solid and liquid waste generation contributing to climate change. While emerging environmental concerns are serious challenges for discrete and process industries in both developed and developing countries, the impact of these issues is more significant for the process industry due to their high energy requirements, GHG emissions, and lack of application of operational strategies. Green-lean-six sigma (GLSS) is recognized as a promising operational and environmental improvement strategy for minimizing waste and conserving resources in manufacturing organizations. However, scant attention has been paid to examining this strategy in addressing the environmental concerns, and in particular, investigating its application between developed and developing nations. The aim of this study is to examine the drivers, enablers, environmental outcomes, and critical success factors (CSFs) of a GLSS strategy in a developed country (New Zealand) and developing country (Pakistan) context in the manufacturing industry. This study draws on the natural resource-based view, institutional theory-based view, and intellectual capital-based view to understand the execution of this strategy and develops a GLSS model for improving the environmental performance in manufacturing organizations. A qualitative research methodology is adopted with semi-structured interviews using the case study approach. In the first phase, a preliminary study is undertaken with lean six sigma and environmental consultants from New Zealand (NZ) and Pakistan (PK). In the second phase, the main study is conducted with senior corporate managers of two large-sized flexible packaging manufacturing companies in both NZ and PK who have implemented the green, lean, and six sigma strategies. This study highlights various internal operational and organizational drivers and external regulatory, market-driven, and society-oriented forces that prompt manufacturing companies to adopt a GLSS strategy. Numerous GLSS enablers for achieving environmental outcomes including waste and emission reduction, resource conservation and recycling, and environmental safety and compliance are revealed. Further, CSFs for the implementation of a GLSS approach comprising the strategic, operational, human resource, and external stakeholder-related elements are presented. By utilizing the results of the preliminary and the main study, a holistic GLSS model is developed for achieving environmental performance in manufacturing organizations, with significant theoretical and practical implications

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    A transformational model to understand the impact of enterprise systems for business benefits : a thesis presented in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Information Technology at Massey University, Albany, New Zealand

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    Over the years many organizations have implemented an enterprise system (ES), also called enterprise resource planning (ERP) system, to streamline the flow of information and improve organizational effectiveness to produce business benefits which justify the ES investment. The effectiveness of these systems to achieve benefits is an area being proactively researched by both professionals and academia. However, most of these studies focus on ‘what ESs do’ rather than ‘how ESs do it’. The purpose of this study is to better understand how organizations derive benefits from utilization of an ES and its data. This study utilizes a transformational model of how ES data are transformed into knowledge and results to evaluate the impact of ES information on organizational functions and processes and how this can lead to business benefits. The linkage between expected outcomes, utilization of ES data in decision-making processes, and realized or unrealized benefits provides the reason for this study. Findings reveal that the key benefits commercial firms seek from an ES include improving information flow and visibility, integration and automation of functions, cost reductions by reducing inventory, and achieving process efficiencies for both internal and external operations. The various tools and methods businesses use for transforming ES data into knowledge include the use of data warehouses and business intelligence modules that assist in extraction and manipulation of data, and reporting on particular data objects. Web portals are actively utilized to collaborate between stakeholders and access real-time information. Business tools such as KPI reporting, balanced scorecards and dashboards are used to track progress towards realizing benefits and establishing analytical decision making. Findings emphasize that benefit realization from an ES implementation is a holistic process that not only includes the essential data and technology factors, but also includes other factors such as business strategy deployment, people and process management, and skills and competency development. Findings reveal that business organizations generally lack in producing value assessments that often lead to weak business cases and insufficient benefit models which cannot be used for benefit tracking. However, these organizations are now realizing that it is not enough to put in an ES and expect an automatic improvement. Organizations are now establishing analytical and knowledge-leveraging processes to optimize and realize business value from their ES investment

    Managing Distribution Logistics Using Enterprise Systems

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    To meet the shipping deadlines of dynamic product demands efficiently, the operations and shipping systems in an enterprise must be nimble and responsive enough to delight customers. Organizations have implemented enterprise systems (ESs) to integrate their supply chain processes such as customer order receipt, logistics planning, manufacturing, and dispatch of products. This paper explores the distribution logistics function of manufacturing organizations utilizing ES technology to investigate the goods dispatch process. Three case studies are conducted in manufacturing companies that have implemented ESs to examine how these systems support the management practices and strategies in shipping out operations. Findings reveal that ES tools aid information flow for tracking shipment orders, optimization of product packaging, and achieving on-time deliveries. Though firms are sometimes constrained in materials and availability of physical products for dispatch, the underlying ES technology provides the analytical and knowledge-leveraging support to spur the distribution logistics processes efficiently

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Managing Supply Chains Using Business Intelligence

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    Organizations are deploying business intelligence (BI) systems to enable analysis of data assets for establishing management decisions. Corporate data captured using enterprise systems (ESs) are leveraged through BI to evaluate digital information for deploying business strategies. This study investigates use of BI in organizations for managing supply chain operations. The current BI practices of manufacturing firms are evaluated for transforming transactional data captured through ESs into organizational knowledge in pursuit of realizing supply chain goals. Findings from a case study reveals that although manufacturing firms have identified business analytic as one of the major necessities for organizational effectiveness, these companies often lack clarity in aligning key measurable against their business processes to utilize vital ES data. This results in under utilization of BI tools and the data assets for establishing business decisions. However, more and more companies are now deploying BI strategies for impromptu decision making in managing supply chains

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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