Hypothesis H8: Relationship between eco-innovations and the impact on business
performance is positively related to firm performance.
12.3.9 Identifying the Role of MCDM Approach
Wastewater from the textile industry needs careful physical and chemical treatments
as it is composed of industrial effluents. Treatment of such wastewater can yield
70–95% efficiency in removing solid suspension and COD, respectively. There are
various treatment methods such as membrane distillation, hydrolysis, Fenton oxidation, and jar test. The difficulty lies in the optimum selection of chemical ratio as the
solid suspension and organic matter in wastewater demand for optimal condition.
Hence, multi-criteria decision tools help in better solving the design of treatment
ratio. These MCDMs are based on a set of techniques that seem to help in making out
the best decision. Beltran et al. (2009) selected a jar test to find the optimal chemical
composition to treat wastewater. Jar test seems to be more efficient in the removal of
suspended solids as well as organic matter. Despite the efficient MCDM technique
used, coagulant selection is not an easy task as each coagulant shows different
properties for the removal of solid suspension.
In recent years, the use of enterprise resource planning (ERP) systems is becoming more popular to introduce competitiveness in any organization. This acts to be
the backbone of the firm, which can integrate and automate all business-related
issues. The criticality remains in the selection of suitable ERP systems for a
particular organization. Cebeci (2009) studied the suitability of ERP systems in
association with the fuzzy AHP MCDM technique for the textile industry. As the
textile industry involves a variety in production, products, as well as workers, it
makes the implementation of ERP more complex. The results show that the ERP
system’s successful implementation needs initial screening based on analyzing the
companies’ vision and strategy. Once the specific requirements do not meet, then
such ERP systems can be eliminated. After the screening phase, the methodology
provides a recommendation before an ERP is selected, and then the suitable ERP
systems that best fit to cater to the needs can be deployed in practice.
A different concept of fuzzy sets was proposed in 1965, while the generalization
took place in 1983. Fuzzy sets are commonly employed in the field of decisionmaking and artificial intelligence, and in recent times, it is being tested in the
socioeconomic system. The intuitionistic fuzzy set method was used to measure
the interval value in the study by Nayagam et al. (2011). The reports illustrate the
numerical examples, and analysis was done by comparing it with alternative
methods as well. Based on the results, an innovative MCDM based on intuitionistic
fuzzy sets has been used for the criterion of the values. The authors also claim that
the proposed MCDM method provides substantially better results than the existing
methods used in the real world. The energy sector is one of the fastest-growing
economies and has a vital role in everyone’s life, and improving such a domain has
been a countries agenda all around the globe. Fossil fuel-based power accounts for
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