Emerging Social Entrepreneurial CSR Initiatives in Supply Chains: Exploratory Case Studies of Four Agriculturally Based Entrepreneurs

2014 ◽  
Vol 2014 (55) ◽  
pp. 40-72
Author(s):  
Susan Cholette ◽  
Denise Kleinrichert ◽  
Theresa Roeder ◽  
Kenneth Sugiyama
Keyword(s):  
Supply Chains ◽  
Case Studies ◽  
Exploratory Case Studies

scholarly journals The identification and analysis of making-do waste: insights from two Brazilian construction sites

2017 ◽  
Vol 17 (3) ◽  
pp. 183-197 ◽  
Author(s):  
Carlos Torres Formoso ◽  
Lucila Sommer ◽  
Lauri Koskela ◽  
Eduardo Luís Isatto
Keyword(s):  
Case Studies ◽  
Construction Industry ◽  
Research Work ◽  
Business Organizations ◽  
Construction Sites ◽  
Human Practice ◽  
External Conditions ◽  
Exploratory Case Studies

Abstract Making-do has been pointed out as an important category of waste in the construction industry. It refers to a situation in which a task starts or continues without having available all the inputs required for its completion, such as materials, machinery, tools, personnel, external conditions, and information. By contrast, the literature points out that improvisation is a ubiquitous human practice even in highly structured business organizations, and plays an important role when rules and methods fail. The aim of this paper is to provide some insights on the nature of making-do as a type of waste, based on two exploratory case studies carried out on construction sites. The main contributions of this research work are concerned with the identification of different categories of making-do and its main causes. This paper also discusses some strategies for reducing making-do on construction sites.

Supply chain resilience

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Case Studies ◽  
Design Methodology ◽  
Reading Time ◽  
Cutting Edge ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings COVID-19 has had a dramatic and damaging effect on supply chains and distributors. This briefing considers why, and what strategies there may be to cope. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Forecasting Demand With Support Vector Regression Technique Incorporating Feature Selection in the Presence of Calendar Effect

2018 ◽  
pp. 302-316 ◽  
Author(s):  
Malek Sarhani ◽  
Abdellatif El Afia
Keyword(s):  
Time Series ◽  
Feature Selection ◽  
Supply Chains ◽  
Support Vector Regression ◽  
Case Studies ◽  
Time Series Forecasting ◽  
Regression Technique ◽  
Support Vector ◽  
Reliable Prediction ◽  
Forecasting Methods

Reliable prediction of future demand is needed to better manage and optimize supply chains. However, a difficulty of forecasting demand arises due to the fact that heterogeneous factors may affect it. Analyzing such data by using classical time series forecasting methods will fail to capture such dependency of factors. This chapter addresses these problems by examining the use of feature selection in forecasting using support vector regression while eliminating the calendar effect using X13-ARIMA-SEATS. The approach is investigated in three different case studies.

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