Financing models for an online seller with performance risk in an E-commerce marketplace

2021 ◽  
Vol 155 ◽  
pp. 102468
Author(s):  
Sambit Brata Rath ◽  
Preetam Basu ◽  
Prasenjit Mandal ◽  
Samit Paul
Keyword(s):  
Performance Risk

scholarly journals A FMEA Based Method for Analyzing and Prioritizing Performance Risk at the Conceptual Stage of Performance PSS Design

2021 ◽  
Vol 1 ◽  
pp. 81-90
Author(s):  
John Bake Sakwe ◽  
Marcus Pereira Pessoa ◽  
Sipke Hoekstra
Keyword(s):  
Failure Modes ◽  
Manufacturing Companies ◽  
Performance Risk ◽  
Performance Contracts ◽  
Product Service ◽  
Optical Sorting ◽  
Fmea Method ◽  
Performance Challenges ◽  
Product Service Systems

AbstractWith the quest for enhancing competitive position, fulfilling customer and sustainability demands, increasing profitability, asset manufacturing companies are now adapting assets towards product service systems (PSS) offered through performance contracts. Despite several benefits, the shift to performance PSS exposes industrial asset manufacturers' to performance challenges and risks. Currently, PSS designers face a challenge to exhaustively identify potential failures during PSS development. Knowledge of Product failures is critical prior to the engineering of PSS. This paper proposes a failure modes and effects analysis (FMEA) method to support designers' prioritise critical failures in performance PSS development. A case study of an optical sorting machine is used to demonstrate the method's application.

Indian consumers’ risk perception in buying green products: the case of LED light bulbs

2018 ◽  
Vol 30 (4) ◽  
pp. 927-951 ◽  
Author(s):  
Sujit Kumar Ray ◽  
Sangeeta Sahney
Keyword(s):  
Risk Perception ◽  
Financial Risk ◽  
Social Risk ◽  
Green Products ◽  
Content Type ◽  
Performance Risk ◽  
Indian Consumers ◽  
And Performance ◽  
Psychological Risk ◽  
Overall Risk

PurposeThe purpose of this paper is to examine how the various perceived risk facets such as financial risk, performance risk, psychological risk, social risk, and physical risk influence the Indian consumers’ perceived overall risk during the purchase of green products such as energy-efficient LED light bulbs.Design/methodology/approachA self-administered questionnaire comprising a total of 29 items was employed over a sample of 272 respondents. The structural equation modeling using partial least squares was used for data analysis.FindingsPsychological risk emerged as the most influential of the various risk facets in affecting perceived overall risk. Financial, physical, and performance risks emerged as the second, third, and fourth most influential risk facets, respectively, which affect the perceived overall risk. Surprisingly, social risk did not emerge as an influential facet when it comes to affecting perceived overall risk. Further, psychological and financial risks appeared to have a positive medium-level influence on the perceived overall risk, whereas physical and performance risks appeared to have a positive weak influence on the perceived overall risks. The influence of financial risk on the perceived overall risk was found to be partially mediated by performance risk.Originality/valueThe study is unique in the sense that it reflects the risk perception of potential consumers in one of the largest emerging markets of the world, when it comes to purchase of green products.

Non-performance risk and transaction costs in laboratory forward and spot markets

2003 ◽  
Vol 31 (2) ◽  
pp. 257-274
Author(s):  
Alla V. Yakunina ◽  
Dale J. Menkhaus ◽  
Owen R. Phillips ◽  
Victor E. Esipov
Keyword(s):  
Transaction Costs ◽  
Spot Markets ◽  
Performance Risk

scholarly journals Performance-Risk Nexus of Global Low-Rated ETFs During the QE-Tapering Period

2020 ◽  
Vol 15 (1) ◽  
pp. 194-211
Author(s):  
Panagiotis Anastasiadis ◽  
Efthimios Katsaros ◽  
Anastasios-Taxiarchis Koutsioukis ◽  
Athanasios Pandazis
Keyword(s):  
Abnormal Returns ◽  
Expected Returns ◽  
Market Index ◽  
Performance Risk ◽  
The Us ◽  
Alpha Beta ◽  
Capm Model

AbstractThis study investigates the performance of 50 global, one star (based on Morningstar rankings), ETFs during the US QE-tapering period starting in October 2014 up to September 2018, using the S&P500 as the market index. The methodology employed is based on the CAPM model. We adopt the Jensen’s Alpha, Beta, a / b, Sharpe and Treynor ratios measures in order to examine whether those ETFs have achieved abnormal returns. We conclude that managers of most ETFs do not exhibit selectivity skills and only six of these ETFs achieve higher returns than the market by showing bullish behavior. At the same time, most ETFs have positive Sharpe and Treynor ratios due to high expected returns during the period under scrutiny.

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