Results of a Survey on Web-Based Approaches to Global Outsourcing in the Manufacturing Industry

2006 ◽  
Author(s):  
Farhad Ameri ◽  
Debasish Dutta
Keyword(s):  
Manufacturing Industry ◽  
Core Competencies ◽  
Supply And Demand ◽  
Rapid Change ◽  
Online Markets ◽  
Web Based ◽  
Global Outsourcing ◽  
Supply Chain Relationships ◽  
Online Marketplaces ◽  
Standard Models

Today, manufacturing industry is characterized by globalization, unpredictability and rapid change. To be competitive, companies are globally outsourcing activities that are outside their core competencies. In this context, online marketplaces for manufacturing services have become attractive venues for developing supply chain relationships. Despite their significant growth within last few years, online markets are still in their infancy phase. One of the underdeveloped areas in such markets is supply and demand representation. This paper reflects the result of a survey on the existing online markets in the manufacturing industry. Particular focus of this survey is on identifying the major criteria used by market administrators and users for describing supply and demand. Findings of this survey can provide preliminary data for future efforts in development of standard models for conceptualization and representation of supply and demand in online markets.

A complementary webometric ranking system based on the website quality and traffic measures: A study focusing on top-ranked world universities

2021 ◽  
pp. 1-18
Author(s):  
Sajjad Farashi ◽  
Saeed Bashirian
Keyword(s):  
Weight Vector ◽  
Quality Factors ◽  
Ranking System ◽  
Web Based ◽  
Website Quality ◽  
Scientific Advancement ◽  
Standard Models ◽  
Algorithm Framework ◽  
Scientific Results ◽  
Optimal Weight Vector

Ranking of universities regarding their web-based activities plays a pivotal role in promoting scientific advancement since it motivates the open access accessibility to scientific results. In this study, a new ranking system based on the website quality factors and traffic evaluation was proposed. Since top-ranked universities are usually considered as the standard models for lower ranked ones, the focus of this study was on top-ranked universities. The proposed ranking was compared with well-known Webometrics ranking system. The website traffic and quality assessment were acquired for websites of top-ranked world universities and the correlation between these indices and the Webometrics ranking was evaluated. The summation of the weighted value of obtained measures according to an optimal weight vector obtained by a genetic algorithm framework was used for ranking purposes. The results showed that the website total traffic size was correlated with Webometrics rank (R≈-0.6, p< 0.01). Also, using the weighted value of website quality and traffic measures, the proposed ranking system could predict Webometrics ranking by the accuracy of up to 69%. Even though the method was proposed for universities, it could be applied for ranking other types of centers or companies, provided that the suitable cost function for the genetics algorithm framework was defined.

scholarly journals Demystifying the Opioid Trade in Anonymous Markets and Forums (Preprint)

2020 ◽  
Author(s):  
Zhengyi Li ◽  
Xiangyu Du ◽  
Xiaojing Liao ◽  
Xiaoqian Jiang ◽  
Tiffany Champagne-Langabeer
Keyword(s):  
Public Health ◽  
Supply Chain ◽  
Large Scale ◽  
Supply And Demand ◽  
Opioid Use Disorder ◽  
Public Health Issue ◽  
Opioid Use ◽  
Longitudinal Measurement ◽  
Online Marketplaces ◽  
Trading Activities

BACKGROUND Opioid use disorder presents a public health issue afflicting millions across the globe. There is a pressing need to understand the opioid supply chain to gain new insights into the mitigation of opioid use and effectively combat the opioid crisis. The role of anonymous online marketplaces and forums that resemble eBay or Amazon, where anyone can post, browse, and purchase opioid commodities, has become more and more important in opioid trading. Therefore, a greater understanding of anonymous markets and forums may enable public health officials and other stakeholders to comprehend the scope of the crisis. OBJECTIVE The objective of this work is to profile the opioid supply chain in anonymous markets and forums via a large-scale, longitudinal measurement study on anonymous market listings and posts. Toward this, we propose a series of techniques to collect data, to identify opioid jargon terms used in the anonymous marketplaces and forums, and to profile the opioid commodities, suppliers, and transactions. METHODS We first conducted a whole-site crawl of anonymous online marketplaces and forums to solicit data. Then, we developed a suite of opioid domain-specific text mining techniques (e.g., opioid jargon detection, opioid trading information retrieval) to recognize information relevant to opioid trading activities (e.g., commodities, price, shipping information, suppliers, etc.). After that, we conducted a comprehensive, large-scale, longitudinal study to demystify opioid trading activities in anonymous markets and forums. RESULTS A total of 248,359 listings from 10 anonymous online marketplaces and 1,138,961 traces (i.e., threads of posts) from 6 underground forums were collected. Among them, we identified 28,106 opioid product listings and 13,508 opioid-related promotional and review forum traces from 5147 unique opioid suppliers’ IDs and 2778 unique opioid buyers’ IDs. Our study characterized opioid suppliers (e.g., activeness and cross-market activities), commodities (e.g., popular items and their evolution), and transactions (e.g., origins and shipping destination) in anonymous marketplaces and forums, which enabled a greater understanding of the underground trading activities involved in international opioid supply and demand. CONCLUSIONS The results provide insight into opioid trading in the anonymous markets and forums, and may prove an effective mitigation data point for illuminating the opioid supply chain.

Supply Chain Disruptions and Best-Practice Mitigation Strategies

2012 ◽  
pp. 831-844
Author(s):  
Adenike Aderonke Moradeyo
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Best Practice ◽  
Supply And Demand ◽  
Mitigation Strategies ◽  
Supply Chain Disruptions ◽  
Chain Management ◽  
Best Practice Guidelines ◽  
Supply Chain Relationships ◽  
Fortune 1000

This paper reviews the supply chain management literature to summarize best-practice guidelines for mitigating supply problems. Very few studies in the extant literature focused on matching a strategy for both the supply and demand perspective. Case studies of supply chain management have traditionally focused on single companies, and especially on successful organizations rather than on the demand-supply-chain relationships (which involve at least two companies). Therefore, this study considers the experiences of the author, and researchers several well-known profitable fortune 1000 supply chain companies, to determine which supply chain mitigation strategies work best in complex situations.

21st Century Learning Opportunities for SME Success

E-Marketing ◽  
2012 ◽  
pp. 781-802
Author(s):  
Kathleen P. King ◽  
John J Foley
Keyword(s):  
Adult Development ◽  
21St Century ◽  
Imperfect Information ◽  
Technological Development ◽  
Rapid Development ◽  
Rapid Change ◽  
21St Century Learning ◽  
Business Systems ◽  
Web Based ◽  
Medium Enterprise

This chapter informs SME (small and medium enterprise) owners, developers, consultants, and academics with the reasons, means, and possibilities afforded by 21st century technology in helping SMEs to improve their operational efficiencies and discover more effective marketing strategies for their products and services. With the rapid development and broad-based integration of web-based technologies across domains of communication, marketing, e-Commerce, and training, SMEs can benefit greatly by using these inexpensive tools to their advantage. SMEs typically underutilize opportunities to enhance their efficiencies by using more complex e-Business systems, and in so doing under develop the talents of their workforce for innovation and success. This underutilization is not just because of ignorance of technological capabilities, but also from a lack of exposure to leadership and HR development training. Knowing the need to learn must be a strong foundation before technological development can ensue. This chapter provides a synthesis of research and literature across several related, but seldomly connected fields - including, organizational theory, leadership, adult development and learning, 21st century learning, distance learning and human resource management. In developing this chapter, the authors are attempting to communicate the need for SMEs to both develop leadership and technological program developments to implement the changes needed to compete in a marketplace that reflects rapid change and imperfect information.

The future of manufacturing industry: a strategic roadmap toward Industry 4.0

2018 ◽  
Vol 29 (6) ◽  
pp. 910-936 ◽  
Author(s):  
Morteza Ghobakhloo
Keyword(s):  
Language Processing ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Core Competencies ◽  
Building Blocks ◽  
Design Principles ◽  
Ongoing Research ◽  
Holistic View ◽  
Content Type ◽  
Technology Trends

Purpose The purpose of this paper is to conduct a state-of-the-art review of the ongoing research on the Industry 4.0 phenomenon, highlight its key design principles and technology trends, identify its architectural design and offer a strategic roadmap that can serve manufacturers as a simple guide for the process of Industry 4.0 transition. Design/methodology/approach The study performs a systematic and content-centric review of literature based on a six-stage approach to identify key design principles and technology trends of Industry 4.0. The study further benefits from a comprehensive content analysis of the 178 documents identified, both manually and via IBM Watson’s natural language processing for advanced text analysis. Findings Industry 4.0 is an integrative system of value creation that is comprised of 12 design principles and 14 technology trends. Industry 4.0 is no longer a hype and manufacturers need to get on board sooner rather than later. Research limitations/implications The strategic roadmap presented in this study can serve academicians and practitioners as a stepping stone for development of a detailed strategic roadmap for successful transition from traditional manufacturing into the Industry 4.0. However, there is no one-size-fits-all strategy that suits all businesses or industries, meaning that the Industry 4.0 roadmap for each company is idiosyncratic, and should be devised based on company’s core competencies, motivations, capabilities, intent, goals, priorities and budgets. Practical implications The first step for transitioning into the Industry 4.0 is the development of a comprehensive strategic roadmap that carefully identifies and plans every single step a manufacturing company needs to take, as well as the timeline, and the costs and benefits associated with each step. The strategic roadmap presented in this study can offer as a holistic view of common steps that manufacturers need to undertake in their transition toward the Industry 4.0. Originality/value The study is among the first to identify, cluster and describe design principles and technology trends that are building blocks of the Industry 4.0. The strategic roadmap for Industry 4.0 transition presented in this study is expected to assist contemporary manufacturers to understand what implementing the Industry 4.0 really requires of them and what challenges they might face during the transition process.

Job-Candidate Matching using ESCO Ontology

2019 ◽  
Vol 15 (1) ◽  
pp. 1-13
Author(s):  
Aman Shakya ◽  
Subhash Paudel
Keyword(s):  
Human Resources ◽  
Human Resources Management ◽  
Supply And Demand ◽  
Key Factors ◽  
Similarity Matching ◽  
Job Description ◽  
Web Based ◽  
Demand And Supply ◽  
Resources Management ◽  
Web Based System

 Skills management is one of the key factors to address the increasing competitiveness among different companies. Suitable knowledge representation and approach for matching skills and competences in job vacancies and candidate profiles can support human resources management automation through suitable matching and ranking services. This paper presents an approach for matchmaking between skills demand and supply through skill profiles enrichment and matching supply and demand profiles over multiple criteria. This work builds upon methods for profile modeling, information enrichment and multi-criteria matching. The main contribution of this work is a methodology for harmonization and enrichment of heterogeneous profile models and skill set description by making use of the standard ESCO ontology. Secondly, an algorithm is proposed for similarity matching across multi-criteria for discovering set of profiles that best fits the job description criteria. A prototype web-based system has been developed to implement the proposed approach and deployed online. The system has been tested with real IT jobs related dataset and validated against relevance scores provided by human experts. Experimental results show consistent correspondence between the similarity ranking scores produced by the system and scores provided by the human users.

scholarly journals Project Managers’ Competencies in Collaborative Construction Projects

Buildings ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 50 ◽  
Author(s):  
Sina Moradi ◽  
Kalle Kähkönen ◽  
Kirsi Aaltonen
Keyword(s):  
Language Proficiency ◽  
Construction Projects ◽  
Core Competencies ◽  
Effective Interaction ◽  
Project Managers ◽  
Behavioral Approach ◽  
Operational Environment ◽  
Structured Interviews ◽  
Web Based ◽  
Collaborative Construction

Collaborative delivery methods in construction projects provide a new operational environment, which can foster effective interaction and cooperation between different project stakeholders. Project managers are one of the most important players in this environment, who therefore need to possess appropriate competencies. Collaborative construction projects and their managerial solutions are still a relatively new field and, thus, special aspects such as competencies of project managers in such projects have been limitedly studied. The present research aimed to evaluate project managers’ competencies in collaborative construction projects in Finland through a human behavioral approach, where project managers’ everyday work was the main source for understanding the competencies of relevance. Accordingly, a web-based questionnaire and semi-structured interviews were used for data collection from the case projects. Based on the gained data, project managers’ behaviors were analyzed, and consequently, their specific competencies were identified. Findings of this study propose 10 core competencies for project managers in collaborative construction projects, e.g., group capabilities, language proficiency, and leveraging diversity. Additionally, a set of supportive competencies were identified which, together with the core competencies, form the profile of project managers’ competencies for collaborative construction projects. Finally, the differences between competencies needed in traditional and in collaborative construction projects are discussed.

scholarly journals Multi-Stage Change Point Detection with Copula Conditional Distribution with PCA and Functional PCA

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1777
Author(s):  
Jong-Min Kim ◽  
Ning Wang ◽  
Yumin Liu
Keyword(s):  
Change Point ◽  
Manufacturing Industry ◽  
Supply And Demand ◽  
Multivariate Data ◽  
Change Point Detection ◽  
Conditional Distributions ◽  
Multi Stage ◽  
Functional Pca ◽  
Point Detection ◽  
Uncertainty Environment

A global uncertainty environment, such as the COVID-19 pandemic, has affected the manufacturing industry severely in terms of supply and demand balancing. So, it is common that one stage statistical process control (SPC) chart affects the next-stage SPC chart. It is our research objective to consider a conditional case for the multi-stage multivariate change point detection (CPD) model for highly correlated multivariate data via copula conditional distributions with principal component analysis (PCA) and functional PCA (FPCA). First of all, we review the current available multivariate CPD models, which are the energy test-based control chart (ETCC) and the nonparametric multivariate change point model (NPMVCP). We extend the current available CPD models to the conditional multi-stage multivariate CPD model via copula conditional distributions with PCA for linear normal multivariate data and FPCA for nonlinear non-normal multivariate data.

Integration of Web-Based Computer-Aided Instruction into a Nontraditional Doctor of Pharmacy Program

2000 ◽  
Vol 13 (5) ◽  
pp. 382-391 ◽  
Author(s):  
Joseph A. Grillo ◽  
Scott K. Stolte ◽  
Jeffrey Lewis ◽  
Evan T. Robinson
Keyword(s):  
Student Teacher ◽  
Rapid Change ◽  
Instructional Delivery ◽  
Computer Aided Instruction ◽  
Web Based ◽  
Teaching Online ◽  
Use Of Technology ◽  
Computer Aided ◽  
Pedagogical Models ◽  
Work Up

The rapid change in technology in recent years has provided the impetus for many instructors to revisit their ideas about learning and student-teacher interactions. Computers offer an easy exchange of text-based and graphic material and increasingly, the ability to observe and hear others in real-time interactions. The use of technology as an instructional delivery tool has, in many cases, changed the way faculty teach. Teaching online can be challenging and it helps to start slowly and work up to the more complicated and involved pedagogical models. This paper discusses studies evaluating the effectiveness of computer-aided instruction (CAI), offers suggestions for developing a web-based CAI program, relates the experiences of one college of pharmacy with CAI, and offers teaching tips for the digital age.

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