Assessing the Effect of Public Service Motivation on Performance, without and with a Correction for Common-Method Bias

2013 ◽  
Author(s):  
Nicolai Petrovsky ◽  
Adrian Ritz
Keyword(s):  
Public Service ◽  
Public Service Motivation ◽  
Common Method ◽  
Common Method Bias ◽  
Method Bias

scholarly journals Only When the Societal Impact Potential Is High? A Panel Study of the Relationship Between Public Service Motivation and Perceived Performance

2016 ◽  
Vol 38 (2) ◽  
pp. 139-166 ◽  
Author(s):  
Nina van Loon ◽  
Anne Mette Kjeldsen ◽  
Lotte Bøgh Andersen ◽  
Wouter Vandenabeele ◽  
Peter Leisink
Keyword(s):  
Public Service ◽  
Panel Study ◽  
Public Service Motivation ◽  
Societal Impact ◽  
Cross Sectional ◽  
Common Method Bias ◽  
Perceived Performance ◽  
And Performance ◽  
Method Bias

Many studies find positive associations between public service motivation (PSM) and performance, but much of this literature is based on cross-sectional data prone to endogeneity and common method bias. Moreover, we know little about potential moderators. In this study, we test the moderating role of societal impact potential (SIP)—the degree to which the job is perceived to provide opportunities to contribute to society. We use cross-sectional data from 13,967 employees in 2010 and 2012 aggregated to construct longitudinal data for 42 organizations. As expected, the association between PSM and individual perceived performance is positive when SIP is high. However, when SIP is low, PSM is only weakly or not at all related to performance. This is an important insight for organizations that try to enhance performance through PSM. Our findings suggest that this can only be done when the employees think that their jobs allow them to contribute to society.

Public service motivation and performance: a critical perspective

2014 ◽  
Vol 2 (1) ◽  
pp. 57-79 ◽  
Author(s):  
Nicolai Petrovsky ◽  
Adrian Ritz
Keyword(s):  
Public Service ◽  
Common Method ◽  
Content Type ◽  
Aggregated Data ◽  
Individual Level ◽  
Common Method Bias ◽  
And Performance ◽  
The Individual ◽  
Method Bias ◽  
Level Analysis

Purpose – A growing body of literature points to the importance of public service motivation (PSM) for the performance of public organizations. The purpose of this paper is to assess the method predominantly used for studying this linkage by comparing the findings it yields without and with a correction suggested by Brewer (2006), which removes the common-method bias arising from employee-specific response tendencies. Design/methodology/approach – First, the authors conduct a systematic review of published empirical research on the effects of PSM on performance and show that all studies found have been conducted at the individual level. Performance indicators in all but three studies were obtained by surveying the same employees who were also asked about their PSM. Second, the authors conduct an empirical analysis. Using survey data from 240 organizational units within the Swiss federal government, the paper compares results from an individual-level analysis (comparable to existing research) to two analyses where the data are aggregated to the organizational level, one without and one with the correction for common-method bias suggested by Brewer (2006). Findings – Looking at the Attraction to Policy-Making dimension of PSM, there is an interesting contrast: While this variable is positively correlated with performance in both the individual-level analysis and the aggregated data analysis without the correction for common-method bias, it is not statistically associated with performance in the aggregated data analysis with the correction. Originality/value – The analysis is the first to assess the robustness of the performance-PSM linkage to a correction for common-method bias. The findings place the validity of at least one part of the individual-level linkage between PSM and performance into question.

Factors affecting satisfaction and loyalty in online grocery shopping: an integrated model

2017 ◽  
Vol 9 (2) ◽  
pp. 107-132 ◽  
Author(s):  
Anusha Sreeram ◽  
Ankit Kesharwani ◽  
Sneha Desai
Keyword(s):  
Time Pressure ◽  
Integrated Model ◽  
Common Method ◽  
Grocery Shopping ◽  
Physical Effort ◽  
Content Type ◽  
Product Assortment ◽  
Common Method Bias ◽  
Entertainment Value ◽  
Method Bias

PurposeThis paper aims to conceptualize and test an integrated model of online grocery buying intention by extending technology acceptance model by adding several antecedents of online grocery shopping behaviour such as physical effort, time pressure, entertainment value, product assortment, economic values, website design aesthetics, etc. The ultimate dependent variable was consumer’s satisfaction with buying process of grocery product via online platform. Design/methodology/approachThe model was tested over online grocery shoppers using structural equation modelling approach. To enhance the validity of the finding, common method bias and social desirability bias were also assessed. FindingsAs product assortment was found to have a significant impact on both perceived ease of use and perceived usefulness, it supports the notion of one-stop solution as a major driver to attract buyers to buy groceries online. Findings also highlight the importance of entertainment value and economic value as key variables which shape the buyer’s satisfaction and purchase loyalty behaviour. Overall, the results support the proposed model. Practical/implicationsThe findings of this study would be helpful for online marketers to get more website visits and to increase conversion rates, i.e. getting their visitors to spend more time on the website and to make purchase. Originality/valueThis integrated framework tested here is quite comprehensive in nature, as it includes the influence of time pressure, physical effort and product assortment on online buying behaviour. These basic yet important variables to study, especially when the industry (online grocery shopping) is still in its nascent stage, are missing from the literature. The present study also involves a rigorous data analysis process followed by assessment of common method bias and psychometric property test. Such approach is rare in existing body of knowledge. The study uses S-O-R framework for hypothesis and model development, which is also rare in context of online grocery shopping.

Common Method Bias in PLS-SEM

2015 ◽  
Vol 11 (4) ◽  
pp. 1-10 ◽  
Author(s):  
Ned Kock
Keyword(s):  
Structural Equation ◽  
Discriminant Validity ◽  
Least Squares Method ◽  
Common Method ◽  
Equation Modeling ◽  
Common Method Bias ◽  
Validity Assessment ◽  
Convergent And Discriminant Validity ◽  
Partial Least Squares Method ◽  
Method Bias

The author discusses common method bias in the context of structural equation modeling employing the partial least squares method (PLS-SEM). Two datasets were created through a Monte Carlo simulation to illustrate the discussion: one contaminated by common method bias, and the other not contaminated. A practical approach is presented for the identification of common method bias based on variance inflation factors generated via a full collinearity test. The author's discussion builds on an illustrative model in the field of e-collaboration, with outputs generated by the software WarpPLS. They demonstrate that the full collinearity test is successful in the identification of common method bias with a model that nevertheless passes standard convergent and discriminant validity assessment criteria based on a confirmation factor analysis.

Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies

2012 ◽  
Vol 88 (4) ◽  
pp. 542-555 ◽  
Author(s):  
Scott B. MacKenzie ◽  
Philip M. Podsakoff
Keyword(s):  
Common Method ◽  
Common Method Bias ◽  
Method Bias

Factors Affecting Organisational Learning: The Case of a Medical Centre

2021 ◽  
pp. 097206342110352
Author(s):  
Orit Shamir-Bladerman
Keyword(s):  
Organisational Culture ◽  
Organisational Learning ◽  
Self Report ◽  
Common Method ◽  
Learning Mechanisms ◽  
Medical Department ◽  
Large Hospital ◽  
Common Method Bias ◽  
Method Bias ◽  
The Relationship

Despite many studies that examined the relationship between organisational learning and organisational culture, none examined whether the levels of learning differ within a given organisation and if so, what factors lead to this difference. This article is based upon a study on organisational learning and investigates the relationship among organisational learning, culture and structure. Quantitative research was conduct on organisational learning practices in 17 medical departments of a large hospital in Israel. Three main categories of variables were examined: mapping the learning mechanisms, characterising the organisational culture and examining the organisational structure of various departments. Organisational learning was measured by means of a set of organisational learning mechanisms used in each medical department. Because data were collected from individuals, it was necessary to control and overcome self-report and common method bias. Reverse scoring of items, the use of variation in wording of items and guaranteeing anonymity to respondents helped control common method bias. As expected, it was found that those departments do differ one from the others by the extent to which organisational learning mechanisms are systematically used. The article further presents and discusses the effects of some structural and cultural factors upon levels of organisational learning on those departments. Both the method and the results of this research differ from previous studies of organisational learning; thus, the article sheds a new light on the concept of organisational learning. The study points to the importance and need of organisations to adopt a culture that encourages use of these organisational learning mechanisms to create effective and ongoing organisational learning. Increasing awareness among hospital departments of organisational learning as an essential process for coping with environmental change is also an important practical contribution.

Impact of Workplace Climate on Burnout Among Critical Care Nurses in the Veterans Health Administration

2020 ◽  
Vol 29 (5) ◽  
pp. 380-389 ◽  
Author(s):  
Lakshmana Swamy ◽  
David Mohr ◽  
Amanda Blok ◽  
Ekaterina Anderson ◽  
Martin Charns ◽  
...  
Keyword(s):  
Health Care ◽  
Critical Care ◽  
Health Care System ◽  
Critical Care Nurses ◽  
Common Method ◽  
Health Administration ◽  
Workplace Climate ◽  
Common Method Bias ◽  
Method Bias ◽  
Care System

Background Burnout is a maladaptive response to work-related stress that is associated with negative consequences for patients, clinicians, and the health care system. Critical care nurses are at especially high risk for burnout. Previous studies of burnout have used survey methods that simultaneously measure risk factors and outcomes of burnout, potentially introducing common method bias. Objectives To evaluate the frequency of burnout and individual and organizational characteristics associated with burnout among critical care nurses across a national integrated health care system using data from an annual survey and methods that avoid common method bias. Methods A 2017 survey of 2352 critical care nurses from 94 sites. Site-level workplace climate was assessed using 2016 survey data from 2191 critical care nurses. Results Overall, one-third of nurses reported burnout, which varied significantly across sites. In multilevel analysis, workplace climate was the strongest predictor of burnout (odds ratio [OR], 2.20; 95% CI, 1.50-3.22). Other significant variables were overall hospital quality (OR, 1.44; 95% CI, 1.05-1.99), urban location (OR, 1.93; 95% CI, 1.09-3.42), and nurse tenure (OR, 2.11; 95% CI, 1.44-3.10). In secondary multivariable analyses, workplace climate subthemes of perceptions of workload and staffing, supervisors and senior leadership, culture of teamwork, and patient experience were each significantly associated with burnout. Conclusions Drivers of burnout are varied, yet interventions frequently target only the individual. Results of this study suggest that in efforts to reduce burnout, emphasis should be placed on improving local workplace climate.

Common method bias in applied settings: The dilemma of researching in organizations

2019 ◽  
Vol 45 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Peter J Jordan ◽  
Ashlea C Troth
Keyword(s):  
Common Factor ◽  
Jel Classification ◽  
Common Method ◽  
Common Method Bias ◽  
Method Bias

Authors are experiencing increasing competition for their articles to be published. One way of ensuring their work is given the best chance of being published is to underpin their research with rigorous methods that are characterized by robustness, accuracy and reliability. A common factor that can stymie research rigour is common method bias. Our aim in this article is to outline the nature of, concerns about and examine reasons why researchers still conduct studies that are susceptible to common method bias. We also provide some solutions for avoiding or managing common method bias concerns. In doing this, we acknowledge the substantial work that has been produced on this topic to date and, therefore, focus our contribution specifically on issues that affect research in applied and managerial settings. JEL Classification: C90, D23

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