Multi-attribute Auctions

Author(s):  
Kholekile L. Gwebu ◽  
Jing Wang

This chapter highlights the promise and importance of reverse multi-attribute auctions (RMAA). It outlines the major benefits of RMAAs over other traditional auction mechanisms, such as reverse single attribute auctions, and then presents a structured and critical assessment of the current state of RMAA research. The intention of this chapter is not only to review both experimental and theoretical studies that have been conducted on RMAAs, but also to provide a starting point and specific recommendations for future research directions on RMAAs.

2011 ◽  
Vol 189-193 ◽  
pp. 3750-3754 ◽  
Author(s):  
Gen Fu Yuan ◽  
Wei Zheng ◽  
Xue Hui Chen ◽  
Yu Ping Ma

Laser combined machining is a complex machining method which utilizes the combined effect of various forms of energy to achieve a material processing. High manufacturing quality and surface accuracy, and machining efficiency can be achieved. The research progress in the area of laser combined other machine processes is reviewed. Several methods of laser combined machining are introduced and their characteristics and applications from the point of the laser assisted liquid machining are investigated. For example, laser assisted wet etching and laser assisted jet electrochemical machining, and waterjet-guided laser machining are reported. The experimental and theoretical studies of the technologies to improve the machining performance are discussed. Finally, the existing problems and the future research directions of the laser compound processing are put forward .


2021 ◽  
Vol 108 ◽  
pp. 103309
Author(s):  
Tatiane Tobias da Cruz ◽  
José A. Perrella Balestieri ◽  
João M. de Toledo Silva ◽  
Mateus R.N. Vilanova ◽  
Otávio J. Oliveira ◽  
...  

2020 ◽  
Vol 13 (3) ◽  
pp. 795-848
Author(s):  
Alina Köchling ◽  
Marius Claus Wehner

AbstractAlgorithmic decision-making is becoming increasingly common as a new source of advice in HR recruitment and HR development. While firms implement algorithmic decision-making to save costs as well as increase efficiency and objectivity, algorithmic decision-making might also lead to the unfair treatment of certain groups of people, implicit discrimination, and perceived unfairness. Current knowledge about the threats of unfairness and (implicit) discrimination by algorithmic decision-making is mostly unexplored in the human resource management context. Our goal is to clarify the current state of research related to HR recruitment and HR development, identify research gaps, and provide crucial future research directions. Based on a systematic review of 36 journal articles from 2014 to 2020, we present some applications of algorithmic decision-making and evaluate the possible pitfalls in these two essential HR functions. In doing this, we inform researchers and practitioners, offer important theoretical and practical implications, and suggest fruitful avenues for future research.


Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5665
Author(s):  
William Taylor ◽  
Qammer H. Abbasi ◽  
Kia Dashtipour ◽  
Shuja Ansari ◽  
Syed Aziz Shah ◽  
...  

COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no approved vaccination or treatment, governments around the world have issued guidance to their citizens to remain at home in efforts to control the spread of the disease. The goal of controlling the spread of the virus is to prevent strain on hospitals. In this paper, we focus on how non-invasive methods are being used to detect COVID-19 and assist healthcare workers in caring for COVID-19 patients. Early detection of COVID-19 can allow for early isolation to prevent further spread. This study outlines the advantages and disadvantages and a breakdown of the methods applied in the current state-of-the-art approaches. In addition, the paper highlights some future research directions, which need to be explored further to produce innovative technologies to control this pandemic.


2019 ◽  
Vol 11 (9) ◽  
pp. 2664 ◽  
Author(s):  
Stefano Armenia ◽  
Rosa Maria Dangelico ◽  
Fabio Nonino ◽  
Alessandro Pompei

Today, more than ever, achieving sustainability of business activities, intertwining social, economic, and environmental perspectives, is one of the most challenging objectives for companies. Project management processes are no exception. This paper aims to contribute to the current research knowledge through a systematic review of the literature on the integration of project management and sustainability. Specifically, the aim was to clarify the research domains of sustainable project management, and to understand the current state of development and the future research directions. Results indicate that academic literature about this topic is still in its infancy, but that scholars’ attention is growing, opening new research directions. Based on the literature review results, we propose a new conceptual framework linking five key dimensions of sustainable project management: corporate policies and practices, resource management, life cycle orientation, stakeholders’ engagement, and organizational learning.


2020 ◽  
Vol 62 (5) ◽  
pp. 503-516
Author(s):  
Emel Taban ◽  
Olatunji Oladimeji Ojo

Abstract Flexible and digital manufacturing technologies like additive manufacturing (AM) have evolved as the future of modern manufacturing with the capability of obtaining multi-dimensional components and material functionality improvement. In the past decade, the additive manufacturing of steel has advanced into an effective approach for controlling local microstructure and fabricating hybrid build with tailored performance. As an emerging technology, there are still some challenges in the additive manufacturing of steel that need to be circumvented in order to attain the full potentials of this novel technology. This review paper examines the current state of additively manufactured steel as well as the associated microstructure, mechanical properties, and corrosion of as-built steel. An insight into further and future research directions is provided.


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