Innovation and New Products Research: A State-of-the-Art Review, Models for Managerial Decision Making, and Future Research Directions

2017 ◽  
pp. 79-116 ◽  
Author(s):  
Tingting Fan ◽  
Peter N. Golder ◽  
Donald R. Lehmann
Keyword(s):  
Decision Making ◽  
State Of The Art ◽  
New Products ◽  
Future Research ◽  
Managerial Decision ◽  
Research Directions ◽  
Managerial Decision Making ◽  
Future Research Directions

scholarly journals APPLICATIONS OF FUZZY MULTIPLE CRITERIA DECISION MAKING METHODS IN CIVIL ENGINEERING: A STATE-OF-THE-ART SURVEY

2021 ◽  
Vol 27 (6) ◽  
pp. 358-371
Author(s):  
Zhi Wen ◽  
Huchang Liao ◽  
Edmundas Kazimieras Zavadskas ◽  
Jurgita Antuchevičienė
Keyword(s):  
Decision Making ◽  
Civil Engineering ◽  
State Of The Art ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Future Research ◽  
Research Directions ◽  
Research Problems ◽  
Future Research Directions ◽  
Fuzzy Mcdm

A variety of fuzzy multiple criteria decision making (MCDM) models have been proposed to solve complicated decision-making problems. Many applications have been achieved, especially in the field of civil engineering. To analyze the developments about the fuzzy MCDM methods and their applications in civil engineering in recent years and further explore the future research directions, this study conducts a state of the art survey in which 52 journal papers focusing on the applications of fuzzy MCDM models in civil engineering from 2016 to 2020 are reviewed. We respectively classify these articles according to research problems and research methods. Through the literature review, we get findings in terms of the most concerned decision-making problem, the most widely-used evaluation criterion and the most popular fuzzy MCDM model. Furthermore, we present four aspects of research challenges and corresponding future research directions in the field of civil engineering, which may be helpful for researchers and practitioners to further investigate.

scholarly journals Analysis of Construction Auctions Data in Slovak Public Procurement

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Tomáš Hanák ◽  
Carles Serrat
Keyword(s):  
Predictive Models ◽  
Public Procurement ◽  
Public Spending ◽  
Categorical Variables ◽  
Future Research ◽  
Decision Making Process ◽  
Managerial Decision ◽  
Research Directions ◽  
Managerial Decision Making ◽  
Future Research Directions

The requirement for efficient public spending leads contracting authorities to use electronic reverse auctions (e-RA), a tool that allows achieving financial savings. In this study, we aim to explore the relationships between the different acting e-RA variables and to check for predictive models in order to infer on the savings amount in construction public procurement. Data on real construction auctions in Slovakia were statistically analysed by means of graphics tools, multiple regression analysis, test, and statistics for measuring the association between categorical variables. The results revealed that one should take the type of contract into account when considering the use of e-RA. This research provides several implications for purchasing practitioners in the area of construction procurement, especially with regard to the level of competition in the auction and estimation of savings potential. Presented findings aid managerial decision-making process of e-RA adoption. At the end, recommended future research directions in the investigated area are outlined.

scholarly journals Social commerce—state-of-the-art and future research directions

2016 ◽  
Vol 26 (3) ◽  
pp. 269-290 ◽  
Author(s):  
Catherine Baethge ◽  
Julia Klier ◽  
Mathias Klier
Keyword(s):  
State Of The Art ◽  
Future Research ◽  
Social Commerce ◽  
Research Directions ◽  
Future Research Directions

The effects of brand equity and failure severity on remedy choice after a product recall

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sascha Raithel ◽  
Alexander Mafael ◽  
Stefan J. Hock
Keyword(s):  
Decision Making ◽  
Brand Equity ◽  
Probit Model ◽  
Future Research ◽  
Product Recalls ◽  
Product Recall ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
Content Type ◽  
Failure Severity

Purpose There is limited insight concerning a firm’s remedy choice after a product recall. This study aims to propose that failure severity and brand equity are key antecedents of remedy choice and provides empirical evidence for a non-linear relationship between pre-recall brand equity and the firm’s remedy offer that is moderated by severity. Design/methodology/approach This study uses field data for 159 product recalls from 60 brands between January 2008 to February 2020 to estimate a probit model of the effects of failure severity, pre-recall brand equity and remedy choice. Findings Firms with higher and lower pre-recall brand equity are less likely to offer full (vs partial) remedy compared to medium level pre-recall brand equity firms. Failure severity moderates this relationship positively, i.e. firms with low and high brand equity are more sensitive to failure severity and then select full instead of partial remedy. Research limitations/implications This research reconciles contradictory arguments and research results about failure severity as an antecedent of remedy choice by introducing brand equity as another key variable. Future research could examine the psychological process of managerial decision-making through experiments. Practical implications This study increases the awareness of the importance of remedy choice during product-harm crises and can help firms and regulators to better understand managerial decision-making mechanisms (and fallacies) during a product-harm crisis. Originality/value This study theoretically and empirically advances the limited literature on managerial decision-making in response to product recalls.

scholarly journals Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification

2020 ◽  
Author(s):  
Zheng Wang ◽  
Zhixiang Wang ◽  
Yinqiang Zheng ◽  
Yang Wu ◽  
Wenjun Zeng ◽  
...  
Keyword(s):  
Video Analysis ◽  
State Of The Art ◽  
Future Research ◽  
Low Resolution ◽  
Research Directions ◽  
Comprehensive Review ◽  
Practical Applications ◽  
Future Research Directions

An efficient and effective person re-identification (ReID) system relieves the users from painful and boring video watching and accelerates the process of video analysis. Recently, with the explosive demands of practical applications, a lot of research efforts have been dedicated to heterogeneous person re-identification (Hetero-ReID). In this paper, we provide a comprehensive review of state-of-the-art Hetero-ReID methods that address the challenge of inter-modality discrepancies. According to the application scenario, we classify the methods into four categories --- low-resolution, infrared, sketch, and text. We begin with an introduction of ReID, and make a comparison between Homogeneous ReID (Homo-ReID) and Hetero-ReID tasks. Then, we describe and compare existing datasets for performing evaluations, and survey the models that have been widely employed in Hetero-ReID. We also summarize and compare the representative approaches from two perspectives, i.e., the application scenario and the learning pipeline. We conclude by a discussion of some future research directions. Follow-up updates are available at https://github.com/lightChaserX/Awesome-Hetero-reID

Energy-Storage Modeling: State-of-the-Art and Future Research Directions

2021 ◽  
pp. 1-1
Author(s):  
Ramteen Sioshansi ◽  
Paul Denholm ◽  
Juan Arteaga ◽  
Sarah Awara ◽  
Shubhrajit Bhattacharjee ◽  
...  
Keyword(s):  
Energy Storage ◽  
State Of The Art ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions
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