Discussion and Recommendations

The antecedents and outcomes linked to SE reveal significant diversities in how consumers SE integration in their lives. From January 2016 to July 2021, the SLR indicates that consumer factors such as demographics and social norms significantly contribute to SE. Product factors also affect SE as they determine the perception of the main physical characteristics. The third main element that constitutes the three primary influencers is the environmental factors. The SE effects emanating from environmental factors fail to attract significant attention owing to the amount of time taken to have the effects. For instance, negative environmental factors such as degradation are linked to long-term and consistent unfavorable usage of resources. Thus, the existing literature does not capture the essential factors hence a need for more research and their integration into the study. Indeed, the environmental factors that form the basis of the research constitute 4 out of the 150 outcomes hence significant deficiencies. Challenges in participation levels were also evident, implying that for better findings, particularly on outcomes, the research requires better integration of the relevant players.

The benefit of the research and interest among the players depends on how the participants feel about them (Machala, 2020). First, it is essential to note that some participants have not experienced a platform different from what SE offers. Consequently, they fail to acknowledge the power of SE, especially on online resources. The gains, especially on environmental conservation, are not measurable in the literature about Uber and overall car sharing. This is despite the significant role such factors could play in shaping the research outcome (Machala, 2020). People will react based on their surroundings, and the lack of comparison variables makes the research non-conclusive.

According to the literature in this research and future projections, the intensity of incorporation of SE since 2019 and, more specifically, during the pandemic increased, creating a new picture of the significance of SE. However, the research does not explore this development, implying that for reliability, there should be a deeper integration of the changes in SE to give more disparity in the antecedents and the outcomes. Thus, a more refined meta-analysis is essential to make the research more conclusive. Notably, the level of SE from 2019 has, to a great extent, been non-voluntary. Instead, the pandemic drove consumers into a different trajectory leading to economic effects that could change in the future.

For this reason, the statistics on the antecedents remain instrumental in shaping the research about the effects of SE on consumers' lives. A typical example of this effect is evident in the analysis of SE on the Chinese population. Ashworth (2000) explains that the change in attitude plays a major role in influencing SE. As noted in the analyses of the perceived characteristics, consumers develop expectations that influence how they interact with different resources. While these attitudes and perceptions play a crucial role in making decisions, the associated variable is not covered adequately. Indeed, only eight variables are examined in the five key articles. A deeper analysis of these influencing factors is recommended because they shape how consumers participate in SE. These characteristics and SLR drive many decisions for both antecedents and outcomes should integrate more variables to...…way, the research faces limitations by assuming equal exposure to technologies among the participants. Consequently, the findings cannot be generalized, posing credibility questions.

The research employs quantitative coding in the analyses of 22 articles. Two limitations are evident in making this selection. There is a possible bias in quantifying qualitative values, such as behavioral responses. A researcher can assign different codes to these characteristics leading to varied results. Thus, the research should offer the influencing attributes to assign the codes. Secondly, in examining the consumer effects on SE since 2016, the chosen sample size is small, especially when it represents such wide geographical regions. The small sample size makes the findings less credible hence challenging to generalize them.

One fundamental aspect of research that contributes to capturing accurate data from participants is anonymity when disclosing sensitive information. The behavior attributes are sensitive to some participants and tend to withhold information. While this research uses SLR as the primary method of collecting data, it introduces many gaps that should be sealed in future research. The research should integrate the anonymous collection of data that helps capture sensitive data with higher accuracy. Additionally, it is essential to note that when using SLR, their authors can introduce bias in their research, which is impossible to detect as an independent researcher using the secondary data. Besides, the institutions involved in the research could have demonstrated some interests, compromising the research's validity. Thus, the research contains limitations that can be addressed in future research. It is important to note that the limitations emanating from biases of the authors of articles used in research are challenging to eliminate.…