Construction supply chain modeling : a research review and interdisciplinary research agenda

Supply chain management has emerged as a popular and useful concept in the construction industry and research community since the mid 1990s. Research in construction supply chain management draws from a broad range of disciplines, notably: (1) Industrial organization economics to better understand market structure and forces and their effect on firm and supply chain behavior and (2) Analytic modeling of supply chains to improve supply chain performance along metrics such as speed, cost, reliability, quality, etc. Both industrial organization and analytic modeling provide useful but ultimately incomplete perspectives and prescriptions for construction supply chain management. As such, this paper proposes development of an interdisciplinary research agenda that draws from both fields. Towards that agenda, a review of research is presented to introduce the main ideas, relevant literature, and theory and methods in each of the two areas. From these independent reviews, applications that could benefit from a combined perspective are identified and used as a basis for development of an interdisciplinary research agenda.<br /

Investing in Women for a Better World

Offers case studies of HERproject, a factory-based initiative working to improve women's health awareness, leadership skills, and employer relations by promoting the business value of workplace health programs and creating intervention networks

Judgement and supply chain dynamics

Forecasting demand at the individual stock-keeping-unit (SKU) level often necessitates the use of statistical methods, such as exponential smoothing. In some organizations, however, statistical forecasts will be subject to judgemental adjustments by managers. Although a number of empirical and ‘laboratory’ studies have been performed in this area, no formal OR modelling has been conducted to offer insights into the impact such adjustments may have on supply chain performance and the potential development of mitigation mechanisms. This is because of the associated dynamic complexity and the situation-specific nature of the problem at hand. In conjunction with appropriate stock control rules, demand forecasts help decide how much to order. It is a common practice that replenishment orders may also be subject to judgemental intervention, adding further to the dynamic system complexity and interdependence. The system dynamics (SD) modelling method can help advance knowledge in this area, where mathematical modelling cannot accommodate the associated complexity. This study, which constitutes part of a UK government funded (EPSRC) project, uses SD models to evaluate the effects of forecasting and ordering adjustments for a wide set of scenarios involving: three different inventory policies; seven different (combinations of) points of intervention; and four different (combinations of) types of judgmental intervention (optimistic and pessimistic). The results enable insights to be gained into the performance of the entire supply chain. An agenda for further research concludes the paper

A cross-industry analysis and framework of aftermarket products and services

Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2006.Includes bibliographical references (leaves 93-97).This thesis looks at how supply chains of Aftermarket Products and Services are structured. The study includes an overall examination of the Aftermarket Function, as well as an overview and examination of Aftermarket Supply Chains in four different industries. The study includes general data about the four industries (Computers, Telecommunications Equipment, Automotive and Aerospace), along with examination of practices that are used in these industries. Finally, the thesis compares and contrasts the practices used in the industries and identifies underlying principles that unifies these otherwise diverse practices.by Petros Englezos.M.Eng.in Logistic

Knowledge management and organizational learning: Strategies and practices for innovation

In a globalised competitive world, organisations are looking for ways to gain or maintain a competitive advantage in the marketplace. Of the important challenges facing firms and organizations three are of prime importance: (1) for organizations to know what they know and maximise the transfer of this knowledge throughout their organisation; (2) finding ways of working which assist in maintaining their competitive advantage and finding new ways of gaining competitive advantage often through innovation, and (3) continuously learning through the exploitation of existing resources and capabilities and the exploration of new resources and capabilities to improve their performance. These challenges are interrelated. This paper investigates some of the extensive literature on innovation and knowledge management and suggests propositions for future research

Building An Integrated Model of Knowledge-Based Marketing: A Case Study of E-Knowledge Networks In High-Tech SMEss

This paper takes a marketing perspective of knowledge management and introduces the concepts of marketing knowledge and knowledge-based marketing based on a review and evaluation of the extant literature. A integrated model of knowledge-based marketing is developed and the essential processes of knowledge-based marketing in a case study of e-knowledge networks in high-tech SMEs is analysed. Traditional marketing approaches have focused overly on explicit knowledge and neglected the important role of tacit knowledge, specifically in international (cross-cultural) settings. This paper aims to adjust this imbalance in the extant literature, and makes a call for a new knowledge-based marketing paradigm. The integrated model of knowledge-based marketing can be an easy-to-follow innovation model for high-tech SMEs to address when adopting e-knowledge network. This helps to ensure that the essential determinants and approaches for knowledge-based marketing processes are covered during from research, development, design, manufacturing, marketing/distribution to form the EKN for implementation/commercialisation. For industries, this provides a practical and complete business model for them to use as a reference and study the innovation approaches (the advantage and disadvantage), which are crucial for the success of knowledge-based marketing in high-tech SMEs

Multi-level Analytic Network Process Model to Mitigate Supply Chain Disruptions in Disaster Recovery Planning

Over the past few decades, environmental changes have led to more frequent occurrences and greater intensities of natural disasters worldwide. In terms of globally connected supply chains, this has resulted in an enormous economical loss for corporations. Therefore, Business Continuity and Disaster Recovery (BC/DR) planning and management has become essential for businesses in order to protect their critical business flow. Yet there is a lack of systematic and transparent methodologies for companies to handle this problem. Hence, this thesis introduces a novel approach to combine consecutive steps of the Disaster Recovery Planning (DRP) process within one application. The multi-criteria decision-making (MCDM) tool called the Analytic Network Process (ANP) is employed to identify critical products of a business and match them with optimal disruption mitigation strategies based on an evaluation of benefits, opportunities, costs, and risks (BOCR). To validate the method developed in this thesis, a case study using historical data of a U.S. company (Company XYZ) is introduced. The results of the ANP mathematical modeling demonstrate that the developed methodology provides a valuable approach to analyze and confirm BC/DR planning decisions. Moreover, an expert of Company XYZ confirmed that the suggested solution established through this case study is in agreement with the preferable choice based on his expertise and professional decision-making. Further research could extend the proposed methodology to other fields of BC/DR planning, such as IT Disaster Recovery Planning or Human Disaster Relief

Corporate social responsibility: Business responses to coronavirus (COVID-19) pandemic

The global health, economic, and social impacts of the coronavirus (COVID-19) pandemic are growing day by day. Over the past few months, first China, and now the whole world has been grappling with the effects of the COVID-19 pandemic in businesses, employees, customers, communities, and each other. The people worldwide are strongly committed to working together and supporting each other in every way possible during this critical period filled with fear and uncertainty. Grounded on stakeholder theory and corporate social responsibility (CSR) literature, the study attempts to explore business responses to the COVID-19 pandemic to support its vital stakeholders such as employees, customers, communities, and society as a whole through CSR initiatives. The study based on the contemporary phenomenon considered multi-items as data sources such as press releases, newsletters, and letters to shareholders, which were retrieved from the top 25 (the sample) corporations of the 100 Best Corporate Citizens-2019 (the population) in the United States’ respective websites on the internet. The outcomes of this research report that sampled companies show respect to their employees and focus on stewardship relations between corporations and customers and communities during the COVID-19 pandemic. It will have a significant theoretical application and practical implication on business duty to society and future research on CSR as a strong arm to deal with a critical disaster like the COVID-19 pandemic

An Assessment of Contextual Design and Its Applicability to the Design of Educational Technologies

Thesis (PhD) - Indiana University, School of Education, 2008Increased use of computing technology in support of learning necessitates the collaboration of instructional designers with technology designers. Yet the instructional designer portrayed in current instructional design textbooks does not participate in technology design but instead designs instructional strategies and materials that are implemented by others. For instructional systems design as a field to move towards the kinds of collaborative work required for the development of effective, innovative educational technologies, there is a need for methods that can integrate the concerns and activities of both instructional and technology designers. This research critically examines a human-computer interaction design method, contextual design (CD), assessing how practitioners employ and characterize it as a method and explores its potential utility in instructional systems design. CD is briefly described and available evaluative studies are summarized. Next, three studies are presented: a case study of CD usage in the design of a digital music library, a case study of CD integrating with another design approach called PRInCiPleS, and a learning-oriented analysis of CD work models. Based on the findings of the literature review and these three studies, a practitioner survey and interview guide were developed. Results from 106 survey respondents and 16 interviews characterized CD as a guiding framework and a collection of useful techniques. However, because of its resource requirements and other limitations, the method is rarely used in full or exclusively. Respondents reported valuing the ability of CD to uncover and communicate user needs but also suggested CD did not provide a means of resolving conflicts between user needs and organizational objectives. Implications of these results are explored for three constituencies: developer-designers of instructional places or interactive materials, educators of instructional designers who will work with software developers, and educational researchers and their graduate students