scholarly journals Expressed Turnover Intention: Alternate Method for Knowing Turnover Intention and Eradicating Common Method Bias

Author(s):  
Ghulam Abid ◽  
Tahira Hassan Butt

Employees are the building blocks and valuable assets in an organization. Organizational researchers and practitioners have shown a burgeoning attention to satisfy and retain key performer as the cost of leaving a job is very high for the employing organizations. Discovering turnover intention in its formation stages is very crucial, not only to resist its’ piled up effect but also to control the actual turnover in the future. Most of the times, management is not aware of the employee’s quit intention because employees don’t show their intention explicitly until they actually leave the organization. However, majority of the times employees share their feeling with their colleagues or other close work mates. Based on positive relationship at work, we argued that the individuals who work together normally share their feelings with their close colleagues regarding their decision of leaving or staying (expressed turnover intention) with the current employer. Therefore, the objective of the current study is to investigate the relationship between turnover intention and expressed turnover intention. Furthermore, we offer a new perspective to data collection from other sources, which will assist us in shortening the questionnaire, also minimizing the common method bias and knowing the quit intention from other source. Finally, theoretical and practical implications along with direction for future studies are also discussed.

2021 ◽  
pp. 097206342110352
Author(s):  
Orit Shamir-Bladerman

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.


2020 ◽  
Author(s):  
Wu Lu ◽  
Latif Al-Hakim

Abstract Background. This research empirically tested the impact of hospital reputation and its cost system on the relationship between hospital’s interactive care and patient satisfaction. Methods. An anonymous, self-administrated questionnaire was distributed randomly among outpatients in five large hospitals located at Zhejiang Province, China. Controlled common method bias test was conducted to ensure that the common variance is not a major concern in data analysis. One-factor congeneric measurement was employed to test fitness of factors assigned to variables. Data were further tested for convergence validity, and internal and item reliability. SPSS v.25 software with PROCESS v.3.3 model in a bootstrap approach were used to test the mediation and moderation effects. Results. We received 1441 valid responses (valid response rate 66.6%). A total of 22 questionnaire items out of 25 items survived the factor analysis and common method bias tests. Results show significant positive correlation (ρ < 0.01) between the model’s variables, with correlation between interactive care and reputation (0.732) is the highest. The analysis indicates the hospital reputation moderates the relationship between hospital’s reputation and patient satisfaction. It also illustrates that poor payment administration may affect the patient satisfaction, but its effect is much less on the hospital’s reputation.Conclusion: This research validates two assertions of other research works. First, hospital reputation is more important factor than costs in the selection of the hospital, and second, the perception that healthcare providers with higher expenses provide better care are not true always. Further, our research gives a reason as why many patients from rural area usually manage appointments with doctors in hospitals in urban area rather than having appointment with doctor in the Rural Community hospitals, which have lower reputation.


2017 ◽  
Vol 9 (2) ◽  
pp. 107-132 ◽  
Author(s):  
Anusha Sreeram ◽  
Ankit Kesharwani ◽  
Sneha Desai

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.


2015 ◽  
Vol 11 (4) ◽  
pp. 1-10 ◽  
Author(s):  
Ned Kock

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.


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

2020 ◽  
Vol 29 (5) ◽  
pp. 380-389 ◽  
Author(s):  
Lakshmana Swamy ◽  
David Mohr ◽  
Amanda Blok ◽  
Ekaterina Anderson ◽  
Martin Charns ◽  
...  

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.


2019 ◽  
Vol 45 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Peter J Jordan ◽  
Ashlea C Troth

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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