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Although numerous studies have been conducted to explore the impact of various factors on employees' turnover intention and intention to remain with the organization, the relationship between these two constructs remains largely unexplored. Considering the significance of these constructs, particularly in the context of the COVID-19 pandemic, the authors aimed to investigate their association within an academic environment using a dynamic modeling approach.

This study follows a quantitative approach and utilizes a longitudinal survey design. The authors utilized a cross-lagged panel model (CLPM) and employed the parametric efficient partial least squares (PLSe2) methodology to estimate the dynamic model using data gathered from lecturers associated with both public and private universities in Malaysia. In order to offer methodological insights to applied higher education researchers, the authors also compared the results with maximum likelihood (ML) estimation.

The findings of the authors' study indicate a reciprocal relationship between turnover intention and intention to remain with the organization, with intention to remain with the organization being a stronger predictor. Moreover, situational factors were found to have a greater influence on eliciting turnover intention within academic settings. As anticipated, the use of the PLSe2 methodology resulted in higher R² values compared to ML estimation, thereby reinforcing the effectiveness of PLS-based methods in explanatory-predictive modeling in applied studies.

The authors' findings suggest prioritizing policies that enhance training and consultation sessions to foster positive attitudes among lecturers. Positive attitudes significantly impact judgment-driven behaviors like turnover intention and intention to remain with the organization. Additionally, improving working environments, which indirectly influence judgment-driven behaviors through factors like affective work events, affect and attitudes, should also be considered.

This study pioneers the examination of the causal relationship between turnover intention and intention to remain with the organization, their stability over time and the association of changes in these variables using a dynamic CLPM in higher education. It introduces the novel application of the cutting-edge PLSe2 methodology in estimating a CLPM, providing valuable insights for researchers in explanatory-predictive modeling.

The purpose of this paper is to discuss the pros and cons of partial least squares approach to structural equation modeling (PLS-SEM). The topics include bias, consistency, maximization of R², reliability and model validation.

The approach in this study is descriptive, and the method consists of logical arguments and analysis that are supported by results in references.

Several optimal properties of the PLS-SEM methodology are clarified. A proposal for transforming PLS-SEM mode A to mode B is highlighted, and the transformed mode possesses the desired properties of both modes A and B. Issues with the application of regression analysis using composite scores are also discussed. The strength of PLS-SEM is also compared against that of covariance-based SEM.

Additional studies on PLS-SEM are needed when the population structure contains cross-loadings and/or correlated errors.

PLS-SEM may have inflated type I errors and R² values even with normally distributed data.

The content of this paper is new, and there does not exist such an in-depth discussion of the pros and cons of PLS-SEM methodology in the literature.

This study aims to examine the effect of social responsibility practices on competitive advantage. It focuses on analyzing how strategic initiatives addressing social responsibility practices influence banks’ competitive advantage (CA).

Data were collected from 463 customers of selected commercial banks in Ethiopia. Self-administrative questionnaire was used to collect data. The study was a cross-sectional survey conducted in 2023. The study used a structural equation model to test relationships between variables.

This study’s empirical findings show that social responsibility practices positively affect CA. This suggests that banks actively engaging in social responsibility practices can boost their CA.

The study only targeted customers as respondents and did not include other stakeholders such as employees and the community. This recommended that future research should include these stakeholders. This study relied solely on quantitative data. Future studies could consider incorporating qualitative data to complement the quantitative findings. The study’s sample was limited to Ethiopia’s banking sector. Other service sectors and manufacturing sectors will be considered in future studies to examine the relationship between social responsibility practices and CA.

This study provides insights for banks operating in dynamic markets by providing the strategic implications of social responsibility. Banks can strategically leverage social responsibility practices to gain an advantage in a competitive market. Banks should continuously innovate and adapt their social responsibility strategies to address evolving societal needs and emerging challenges and consider social responsibility an integral component of their strategic planning. The findings of this study can enhance managers’ understanding and enable them to better oversee their social responsibility initiatives to attain a sustainable CA.

This study highlights businesses’ pivotal role in society beyond profit generation. The research findings emphasize the interconnectedness of business success and social responsibility. By integrating social responsibility practices into their operations, companies enhance their CA and contribute to society’s greater good. This underscores the importance of promoting a corporate culture that values social responsibility as a cornerstone of business success.

Empirically examining the relationship between social responsibility practices and CA contributes to the overview of the conceptual and practical base of social responsibility practices into strategic importance. The study provides insight into the importance of social responsibility practices in enhancing CA in developing country’s contexts.