2016
DOI: 10.2308/accr-51554
|View full text |Cite
|
Sign up to set email alerts
|

The Impact of Forward-Looking Metrics on Employee Decision-Making: The Case of Customer Lifetime Value

Abstract: This paper analyzes the effects of providing forward-looking metrics on employee decision making. We use data from a southern European bank that, in April 2002, started providing its branch managers with customer lifetime value (CLV) information about mortgage applicants. The data allows us to gauge the effects of enriching the information set of these employees in an environment where incentives and the allocation of decision rights remained unchanged. We find that CLV availability resulted in a significant s… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 28 publications
(5 citation statements)
references
References 46 publications
0
5
0
Order By: Relevance
“…Because we are conducting hypothesis testing for multiple treatment groups, we need to account for the fact that we may reject more null hypotheses than we should (Floyd & List, 2016; Young, 2019). To address this potential concern, we follow previous work (Casas‐Arce et al., 2017) and first test the joint significance of the three treatment coefficients using an F test. The results are reported at the bottom of Table 2 and reveal that the main treatment variables are jointly statistically significant at a 10% level in Model 2, but not in Model 3.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Because we are conducting hypothesis testing for multiple treatment groups, we need to account for the fact that we may reject more null hypotheses than we should (Floyd & List, 2016; Young, 2019). To address this potential concern, we follow previous work (Casas‐Arce et al., 2017) and first test the joint significance of the three treatment coefficients using an F test. The results are reported at the bottom of Table 2 and reveal that the main treatment variables are jointly statistically significant at a 10% level in Model 2, but not in Model 3.…”
Section: Resultsmentioning
confidence: 99%
“…Regarding the characteristics of the feedback, researchers have considered how the effects of feedback vary depending on its level of detail (Casas‐Arce et al., 2017; Hannan et al., 2008), the frequency with which it is given (Casas‐Arce et al., 2017) and whether it is provided in a private or public way (Casas‐Arce et al forthcoming; Hannan et al., 2013; Tafkov, 2013). Scholars have also explored how the effects of feedback vary with the context in which it is given.…”
Section: Related Literaturementioning
confidence: 99%
See 1 more Smart Citation
“…Second, international experience in advanced market economies helps CEOs develop predictions about future market-oriented environmental conditions, allowing them to better assess the potential payoffs of longer-term investments, and enhancing their knowledge base for formulating long-term plans. According to Casas-Arce, Martínez-Jerez, and Narayanan (2017), managers often struggle to identify relevant payoff information for evaluating their long-term investments, and their prior business experience helps them judge which investments are more financially feasible in the long term. When CEOs’ experience in advanced market economies enables them to better construe the future, they are more willing to devote their cognitive resources to those long-term plans that promise better investment returns (Opper & Burt, 2021).…”
Section: Theoretical Background and Hypotheses Developmentmentioning
confidence: 99%
“…However, that is really surprising, studies, dealing with customer relationship management from a risk-oriented managerial accounting perspective, are scare. This field regularly considers on empirical questions [1][2][3][4][5][6] and not on a methodological approach. In most cases, the design and recommendations of production classification are given independently [7][8][9].…”
Section: Introductionmentioning
confidence: 99%