COVID-19 restrictions significantly affected SMEs, which have faced many challenges to their sustainability within this fragile new environment. This study proposes a holistic framework of sustainable performance by interrelating factors showing robust associations to produce this effect' for achieving sustainable performance in SMEs, through integrating the Technology Organisation Environment (TOE) and Resource Based View (RBV) models, to test how sustainable green practices can process the TOE factors when affecting sustainable performance. The research focuses on SMEs with worldwide employees and involves data collected from a range of different employees belonging to four different managerial levels. The process incorporated the analysis of 669 questionnaires to test the proposed hypotheses using structural equation modeling. Findings suggest that, together, TOE factors represent crucial inputs for green practices such as green training, green performance appraisal, that, in turn, mean critical processes lead to sustainable performance (output). Additionally, the findings should also inspire SMEs to focus even more effort on internal technological and organisational factors and to encourage an eco-friendly culture that would demand stakeholders adopt a more positive environmental stance.

Green human resource management (GHRM) practices and Big Data are considered to be important antecedents of green innovation and sustainable performance. In this article, a comprehensive path model was developed to ensure sustainable organizational performance. The article explores the impact of GHRM and big data on the green innovation which, in turn, leads to sustainable performance. A sample of 373 participants from the service sector of Oman was selected for the article through judgmental sampling. According to the results, GHRM and big data have positive and significant impact on green innovation. Moreover, green innovation affects sustainable performance. It is noteworthy that this article has its novelty as it is among the pioneer studies conceptualizing this path model and using multidimensional constructs of GHRM and big data. The article also discussed theoretical contributions, direction for future research, and implications.

This research aims to identify the factors affecting the adoption of Facebook commerce, in specific the adopted Facebook advertisements for both small and medium enterprises (SMEs) and how this contributes to enhancing such SMEs’ organizational performances. Specifically, ease of use, demographic targeting, interaction, and brand awareness are regarded as the key factors that can influence Facebook’s advertisements adoption. However, three organizational performance dimensions (efficiency, flexibility, and responsiveness) are considered to be the most significant areas of focus in this research. In this study, both the quantitative research approach and the descriptive research design were employed. Data were collected from different SMEs in Muscat and Dhofar in Oman, and the total valid questionnaires suitable for analysis reached 342. The participants were primarily from those who publicize their services through Facebook. Many statistical techniques including exploratory, confirmatory, and structural equation modeling have been adopted in this study; meanwhile, the quantitative data were analyzed using SPSS 25 and AMOS 25 softwares. The findings of this study suggested that the ease of use, demographic targeting, interaction, and brand awareness interpreted 20% of the variance in the Facebook advertisements as the dependent variable. However, Facebook advertisements as an independent variable were found to have a statistically significant effect on the SMEs’ performance dimensions (efficiency, flexibility, and responsiveness) with standard regressions of 0.66, 0.51, and 0.74, respectively, thereby explaining 44% of the variance in the efficiency, 26% of the variance in the flexibility, and 55% of the variance in the responsiveness. Regarding the researchers’ knowledge, this research stands out as the first research to highlight SMEs that measure statistically the relationship between the organizational performance dimensions and Facebook advertising as key social media tools within a unique context—such as Oman as an example of developing countries.