The perceived fairness of performance evaluation: The role of uncertainty

2012 ◽  
Vol 23 (1) ◽  
pp. 17-33 ◽  
Author(s):  
Frank Hartmann ◽  
Sergeja Slapničar
Keyword(s):  
Performance Evaluation ◽  
Perceived Fairness

Comprehensive Income: which potential effects on firms' performance evaluation and users' decision process?

2016 ◽  
pp. 55-94
Author(s):  
Pier Luigi Marchini ◽  
Carlotta D'Este
Keyword(s):  
Performance Evaluation ◽  
Decision Process ◽  
Financial Analysts ◽  
Listed Companies ◽  
Financial Statement ◽  
Comprehensive Income ◽  
Other Comprehensive Income ◽  
Gains And Losses ◽  
The Impact

The reporting of comprehensive income is becoming increasingly important. After the introduction of Other Comprehensive Income (OCI) reporting, as required by the 2007 IAS 1-revised, the IASB is currently seeking inputs from investors on the usefulness of unrealized gains and losses and on the role of comprehensive income. This circumstance is of particular relevance in code law countries, as local pre-IFRS accounting models influence financial statement preparers and users. This study aims at investigating the role played by unrealized gains and losses reporting on users' decision process, by examining the impact of OCI on the Italian listed companies RoE ratio and by surveying a sample of financial analysts, also content analysing their formal reports. The results show that the reporting of comprehensive income does not affect the financial statement users' decision process, although it statistically affects Italian listed entities' performance.

It’s just not fair: exploring the effects of firm customization on unfairness perceptions, trust and loyalty

2014 ◽  
Vol 28 (6) ◽  
pp. 484-497 ◽  
Author(s):  
Bang Nguyen ◽  
Philipp “Phil” Klaus ◽  
Lyndon Simkin
Keyword(s):  
Conceptual Model ◽  
Customer Loyalty ◽  
Linear Regression Analysis ◽  
Perceived Fairness ◽  
Content Type ◽  
Negative Perceptions ◽  
Loyalty Intentions ◽  
And Behavior ◽  
Development And Validation

Purpose – The purpose of this study is to (a) develop a conceptual framework exploring the relationships between perceived negative firm customization, unfairness perceptions, and customer loyalty intentions, and (b) investigate the moderating effects of trust in these relationships. The study explores how customizing offers to match customers’ individual needs and how treating customers differentially provoke unfairness perceptions among those not being considered most important. While the literature discusses unfairness perceptions of pricing, promotion, and service, less is known about unfairness in customization practices. Design/methodology/approach – Using a survey approach, 443 completed questionnaires we collected. Following validation of our item measures, a hierarchical linear regression analysis was conducted to test the conceptual model and hypothesized linkages between our constructs. Findings – The results demonstrate that customers’ negative perceptions of customization increase their unfairness perceptions. Unfairness perceptions drastically reduce customer loyalty intentions with trust acting as a significant moderator. Trust increases loyalty intentions even when unfairness perceptions are present. Our findings provide a foundation for understanding how firms may improve their perceived fairness. This increase in perceived fairness creates positive attributions, reduces negative customer experience perceptions and increases loyalty intentions. Originality/value – Key contribution is the development and validation of a conceptual model explaining the linkages between firm customization and unfairness perceptions, firm customization and customer loyalty intentions and the moderating role of trust between these relationships. This study extends the understanding of how customization practices impact unfairness perceptions and, subsequently, influence consumers’ perceptions, intentions and behavior.

scholarly journals Dynamic performance evaluation with deadlines: The role of commitment

2018 ◽  
Vol 66 (2) ◽  
pp. 377-422
Author(s):  
Chia-Hui Chen ◽  
Junichiro Ishida
Keyword(s):  
Performance Evaluation ◽  
Dynamic Performance
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