scholarly journals EXPRESS: How do managerial perceptions of performance feedback affect innovation?

2021 ◽  
pp. 147612702110194
Author(s):  
Nilesh Saraf ◽  
Srabana Dasgupta ◽  
Daniela Blettner

Although managers’ perceptions are core to the Performance Feedback Theory, few empirical studies measure managerial perceptions of their organization’s performance and theorize on the (in)consistency between perceptual and objective performance feedback. Based on longitudinal survey data of Canadian organizations, we examine how this (in)consistency affects the propensity for innovation in organizations. Our analysis broadly validates that inconsistency between the two types of feedback it dampens innovation. Second, positive perceptions strengthen the relationship between positive objective performance feedback and innovation, leading to increased innovation, whereas negative perceptions strengthen the relationship between negative performance feedback and innovation, echoing the problemistic search hypothesis. We also find that perceptions moderate the effect of objective performance feedback differently in the social and historical dimensions as well above and below the aspiration thresholds.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jin Yao ◽  
Xinmei Liu ◽  
Wenxin He

PurposeThe purpose of this paper is to examine the curvilinear relationship between team informational faultlines and team creativity and the moderating effects of team humble leadership on the relationship.Design/methodology/approachThe multisource and longitudinal survey data were collected from 85 teams. The authors conducted linear regression analyses to analyze the data.FindingsThe results indicate that the relationship between team informational faultlines and team creativity is inverted U-shaped and such relationship is stronger in teams with low levels of humble leadership.Research limitations/implicationsThe research reconciles the mixed findings in prior research and enhances our understanding of the functionality of informational faultlines.Practical implicationsTeam managers should seek optimal levels of informational faultlines and make diversity coexist with similarity when assembling a new working group so as to utilize the benefits of team composition diversity and fuel collective creativity. Team leaders should learn humble leadership skills to encourage open communication.Originality/valueThe research is the first to adopt and build on the social information processing (SIP) perspective to explain the curvilinear relationship between team informational faultlines and team creativity.


Societies ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 99 ◽  
Author(s):  
Matthias Fatke

Inequality poses one of the biggest challenges of our time. It is not self-correcting in the sense that citizens demand more redistributive measures in light of rising inequality, which recent studies suggest may be due to the fact that citizens’ perceptions of inequality diverge from objective levels. Moreover, it is not the latter, but the former, which are related to preferences conducive to redistribution. However, the nascent literature on inequality perceptions has, so far, not accounted for the role of subjective position in society. The paper advances the argument that the relationship between inequality perceptions and preferences towards redistribution is conditional on the subjective position of respondents. To that end, I analyze comprehensive survey data on inequality perceptions from the social inequality module of the International Social Survey Programme (1992, 1999, and 2009). Results show that inequality perceptions are associated with preferences conducive to redistribution particularly among those perceive to be at the top of the social ladder. Gaining a better understanding of inequality perceptions contributes to comprehending the absence self-correcting inequality.


2020 ◽  
pp. 009365021989693
Author(s):  
Liesel L. Sharabi

Matching algorithms are a central feature of online dating, yet little research exists on their effectiveness—or people’s perceptions of their effectiveness—for recommending a mate. Accordingly, this study explores the effects of people’s beliefs in the legitimacy of algorithms on their first date with an online dating partner. Longitudinal survey data were collected from online dating participants leading up to and following the first date. Findings suggested that whether algorithms actually worked mattered less than whether participants had the perception that they worked for finding a partner. Moreover, participants reported better first dates to the extent that they believed in the efficacy of the compatibility matching process. The results have implications for understanding the role of algorithms in shaping relationship success on and off the internet.


Author(s):  
JOHANN BACHER ◽  
RUTH BRAND ◽  
STEFAN BENDER

More and more empirical researchers from universities or research centres like to use register or survey data collected by statistical agencies or the social security system, since these data can by used for several empirical studies, e.g. the analysis of special groups or quantitative effects of economic or social policies. Most of the data required have to be (factually) anonymised before they are disseminated to preserve confidentiality. In the area of statistics on households and individuals this path has been pursued in Germany for several years. The transmission of de facto anonymised datafiles has proved to be a good form of co-operation between scientists and statisticians. Factual anonymity of the data depends on the costs and benefits of a potential re-identification. The paper assumes that the intruder only accepts low costs. Therefore he uses a cluster analysis module that is available in a standards statistical software package to re-identify persons. After a description of the method different factors influencing the re-identification risk are studied using German employment statistics (register data) and the German Life History Study (survey data). The factors are: sample fraction and number of (irrelevant) variables. The results show, that the number of identifiable persons is remarkable high. Furthermore it can be confirmed with the cluster analysis that the number of re-identifiable records increases with increasing sampling fraction and that irrelevant variables reduce this number.


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