How is common method bias addressed using partial least squares structural equation modeling in hospitality and tourism research?

Abstract

PurposeThe purpose of this study is to investigate how common method bias (CMB) is addressed using partial least squares structural equation modeling (PLS-SEM) in hospitality and tourism research.Design/methodology/approachA systematic literature review was conducted on empirical studies published in 2023 and 2024 across 11 high-ranking hospitality and tourism journals. After applying exclusion criteria, 227 articles using PLS-SEM and addressing CMB were somehow analyzed, focusing on the extent and quality of reported CMB controls. The review included both procedural and statistical techniques.FindingsWhile awareness of CMB has increased, many studies either fail to address it or apply methods incorrectly, especially the full collinearity test. Most rely on basic procedures or Harman's single-factor test, with limited use of more advanced techniques. A practical demonstration of the random dependent variable (RDV) technique is provided to guide proper implementation.Originality/valueGiven the field's reliance on self-reported data, the potential for CMB is high, yet methodological rigor in its detection and control remains underexplored. This paper's main contribution highlights the RDV technique as a critical field-appropriate tool to address CMB within PLS-SEM applications. (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)?& iquest;(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(PLS-SEM)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(CMB).(sic)(sic)/(sic)(sic)/(sic)(sic)(sic)(sic)(sic)(sic)2023(sic)(sic)2024(sic)(sic)(sic)(sic)11(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)227(sic)(sic)(sic)PLS-SEM(sic)(sic)(sic)CMB(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)CMB(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)CMB(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)CMB(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)Harman(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(RDV)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)/(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), CMB(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)RDV(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)PLS-SEM(sic)(sic)(sic)(sic)(sic)CMB(sic)(sic). C & oacute;mo se aborda el sesgo del m & eacute;todo com & uacute;n utilizando el modelado de ecuaciones estructurales de m & iacute;nimos cuadrados parciales en la investigaci & oacute;n en hosteler & iacute;a y turismo?ResumenObjetivoEste estudio investiga c & oacute;mo se aborda el sesgo del m & eacute;todo com & uacute;n (SMC) mediante el modelado de ecuaciones estructurales por m & iacute;nimos cuadrados parciales (PLS-SEM) en la investigaci & oacute;n sobre hosteler & iacute;a y turismo.Dise & ntilde;o/metodolog & iacute;a/enfoqueSe realiz & oacute; una revisi & oacute;n sistem & aacute;tica de la literatura sobre estudios emp & iacute;ricos publicados en 2023 y 2024 en 11 revistas de alto impacto en hosteler & iacute;a y turismo. Tras aplicar los criterios de exclusi & oacute;n, se analizaron 227 art & iacute;culos que utilizaban PLS-SEM y abordaban el SMC, centr & aacute;ndose en el alcance y la calidad de los controles de SMC reportados. La revisi & oacute;n incluy & oacute; t & eacute;cnicas tanto procedimentales como estad & iacute;sticas.ResultadosSi bien la concienciaci & oacute;n sobre el SMC ha aumentado, muchos estudios no lo abordan o aplican los m & eacute;todos de forma incorrecta, especialmente la prueba completa de colinealidad. La mayor & iacute;a se basa en procedimientos b & aacute;sicos o en la prueba de un solo factor de Harman, con un uso limitado de t & eacute;cnicas m & aacute;s avanzadas. Se proporciona una demostraci & oacute;n pr & aacute;ctica de la t & eacute;cnica de variable dependiente aleatoria (VDA) para orientar su correcta implementaci & oacute;n.Originalidad/valorDado que este campo se basa en datos autoinformados, el potencial de CMB es alto; sin embargo, el rigor metodol & oacute;gico en su detecci & oacute;n y control sigue siendo poco explorado. La principal contribuci & oacute;n de este art & iacute;culo destaca la t & eacute;cnica RDV como una herramienta fundamental y apropiada para abordar la CMB en aplicaciones PLS-SEM.