Curtailing data biases in business research: Introducing a hybrid approach

2018 ◽  
pp. 1-15 ◽  
Author(s):  
Muhammad Aftab Alam ◽  
Omar Khalid Bhatti
Keyword(s):  
Discriminant Analysis ◽  
Data Collection ◽  
Analysis Of Variance ◽  
Response Bias ◽  
Hybrid Approach ◽  
Workplace Deviance ◽  
Business Research ◽  
Common Method Bias ◽  
Qualitative Confirmation ◽  
Method Bias

AbstractThis study elucidates the falsity of business research in relying on either respondents or informants alone for data collection, and argues that with the biased data, business research cannot provide unbiased solutions. We compare 400 reports (200 respondents and 200 informants) on the workplace deviance and assess the goodness of both the techniques. Analysis of variance andposthoc(descriptive discriminant analysis) indicate significant disparities between the two approaches across all items. In the informant’s role, people tend to overreport, whereas in the respondent’s part they underreport an undesirable behavior. Further, we find that conventional techniques for assessing the construct’s validity and common-method bias neither assures realistic measurement nor eliminate the response bias. Drawing on the theory of psychological projection, we propose a hybrid approach that curtails some of the main biases in data and measurement. Qualitative confirmation through informal interviews with managers in the investigated firms validates the proposed method.

Pretesting Impact of Operational Complexity in Malaysia’s Electrical and Electronics Manufacturing Industry

2014 ◽  
Vol 67 (3) ◽  
Author(s):  
Nasuha Lee Abdullah ◽  
Khairur Rijal Jamaludin ◽  
Hayati Habibah Abdul Talib
Keyword(s):  
Data Collection ◽  
Manufacturing Industry ◽  
Response Rate ◽  
Reliability And Validity ◽  
Common Method Bias ◽  
Data Collection Instrument ◽  
Method Bias ◽  
The Impact ◽  
Scale Data ◽  
Made In

Scientific research requires data collection instrument that is valid and reliable. This paper describes the framework and operationalization of the variables before outlining the process of developing the instrument to assess the impact of operational complexity (OC) on quality management (QM) practices and operational performance (OP) relationships in Malaysia’s Electrical and Electronics (E&E) manufacturing industry. It also highlights issues of common method bias, reliability and validity of the instrument, pretest method and response rate. The pretest result is then discussed. The paper concludes that personal interviews are especially effective in detecting ambiguity in the instrument. Pilot run provides insights to the challenges ahead such as low response rate, tedious data analysis procedures and enables informed decision to be made in preparation for full-scale data collection.

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.

scholarly journals Effect of the protection measures established by the peruvian government to prevent the Coronavirus in the Barranca district during the second wave of infections [Efecto de las medidas de protección establecidas por el gobierno peruano para prevenir el Coronavirus en el distrito de Barranca durante la segunda ola de contagios]

2021 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Dante Cruz Nieto ◽  
Ronald Rodriguez Espinoza ◽  
Olga Valderrama Rios ◽  
Jorge López Balarezo ◽  
Ronald Ramos Pacheco ◽  
...  
Keyword(s):  
Data Collection ◽  
Analysis Of Variance ◽  
Visual Inspection ◽  
Correlation Coefficients ◽  
Appropriate Use ◽  
Ministry Of Health ◽  
Public Places ◽  
Protection Measures ◽  
The Government ◽  
Second Wave

The objective of the investigation is to establish the effect of the protection measures established by the government to reduce the contagion by Covid -19 in the district of Barranca during the second wave of infections. Data were collected on compliance with protection measures such as distancing, use of masks, visors and disinfection with alcohol in public places such as streets, markets, banks and parks. For this, data collection instruments based on visual inspection were used to verify the appropriate use of protection measures, as well as a survey regarding the use of alcohol as a disinfectant; and the data obtained was processed through basic statistics and correlation with the data reported by the Ministry of Health of positive infections by Covid-19. It was determined that there is a growth relationship between compliance with protection measures and the number of positive infections, with correlation coefficients for distance of 0.7458, use of 0.6710 masks, 0.8784 visors and use of alcohol as a disinfectant of 0.7310. Regarding the analysis of variance, it is obtained that the use of visors influences the number of positive infections, which is why it is concluded that maintaining distance, in addition to the use of masks and disinfectant alcohol are effective measures to control the number of infections per coronavirus.

scholarly journals Discriminant Analysis - Useful Tool for Predicting Demand in Serbian Motels

2018 ◽  
Vol 56 (4) ◽  
pp. 503-517
Author(s):  
Lazar Pavić ◽  
Božidar Veljković ◽  
Bojan Sešel
Keyword(s):  
Discriminant Analysis ◽  
Data Collection ◽  
Literature Review ◽  
Development Strategy ◽  
Function Analysis ◽  
Main Method ◽  
Current Period ◽  
Potential Demand ◽  
The Republic ◽  
The Impact

Abstract In this paper, a discriminant analysis, as useful tool to predict potential demand in Serbian motels, is presented. Through the presented literature review, it was determined that there is not a large number of surveys dealing with the needs and demand of transit tourists. Despite that, transit tourism is one of the priority forms of tourism for the Republic of Serbia in accordance with the established Tourism Development Strategy for the Republic of Serbia for the current period. Questionnaire survey as the main method for data collection is used. According to the results, 14 dimensions of potential guests’ expectations are extracted. The results of discriminant function analysis (DFA) present the impact of potential motel guests’ expectations on the main reason for travelling, while the results of canonical varieties analysis (CVA) present the impact of potential motel guests’ expectations on preferred services in Serbian motels.

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