12.3.2 Assessment of Present Technologies and Strategic
Innovations
An empirical survey was conducted by de Oliveira Brasil et al. (2016) to develop
interrelationship among process, product, and organizational resource-based concept. The concept was started with data of 70 samples collected from different textile
industries to expand business performance on the eco-innovation principle.
Eco-innovation is the method that helps to develop its attributes and determinants
to enhance performance. The results demonstrated that adopting the eco-innovation
process helps in organizational and technological goals with ease. The important
aspect of the firms working under product service relies on customer satisfaction.
The best possible business strategy enables the firms having limited resources and
helps not only in economic growth but also in social well-being. By keeping in mind
the concept of sustainable product service for local firms, Tseng et al. (2019)
proposed a model based on the fuzzy Delphi method. This model enables complex
interrelationship between the supply chain and the business interest by considering
four characteristic features such as sustainable consumption, followed by an advantage in collaboration and innovation in activities with innovation in services. It was
also suggested that firms should maintain equilibrium between economic growth and
high-quality products in business synergy.
Vajnhandl and Valh (2014) reported an in-depth survey taking into consideration
the European textiles on wastewater treatment and management. Most commonly
small- and medium-scale firms dominate the processing of fabric (fabric cutting and
stitching) in the textile finishing industry. Adopting sustainable features for such
small- and medium-scale firms becomes a severe issue as they have less resource.
Ten years of data was carefully evaluated to frame the guidelines for reusing the
wastewater (Vajnhandl and Valh 2014). In total, four sectors were targeted; they
were textile, food, paper, and chemical industries; among them textile industry has
the highest impact on the environment by discharging polluted water, having
chemicals with coloring and other toxic agents. Reusing of such wastewater having
tons of effluents becomes not feasible. Therefore, the reports highlight to use a
separate treatment before it is discharged into the environment by using effective
conventional methodologies.
Zhao and Lin (2019) investigated the methods to improve the energy efficiency of
textile industries situated in china. The work was focused on implementing new
policies to enhance the energy efficiency of industries. A regression model was
adopted to draw the baseline, and it was expanded to identify factors associated with
enhancing the energy efficiency of industrial agglomeration. The results were
analyzed in three steps, the agglomeration to be affected as the value reaches the
limit of the threshold; after that, the value moves toward the positive sign indicating
its development related to economic growth, R&D, and drop in prices. In the third,
the regression model enables to develop a nonlinear relationship connecting agglomeration and efficiency. Innovation is greatly affected by the organization’s culture,
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P. Pattnaik and G. S. Dangayach
Innovations
An empirical survey was conducted by de Oliveira Brasil et al. (2016) to develop
interrelationship among process, product, and organizational resource-based concept. The concept was started with data of 70 samples collected from different textile
industries to expand business performance on the eco-innovation principle.
Eco-innovation is the method that helps to develop its attributes and determinants
to enhance performance. The results demonstrated that adopting the eco-innovation
process helps in organizational and technological goals with ease. The important
aspect of the firms working under product service relies on customer satisfaction.
The best possible business strategy enables the firms having limited resources and
helps not only in economic growth but also in social well-being. By keeping in mind
the concept of sustainable product service for local firms, Tseng et al. (2019)
proposed a model based on the fuzzy Delphi method. This model enables complex
interrelationship between the supply chain and the business interest by considering
four characteristic features such as sustainable consumption, followed by an advantage in collaboration and innovation in activities with innovation in services. It was
also suggested that firms should maintain equilibrium between economic growth and
high-quality products in business synergy.
Vajnhandl and Valh (2014) reported an in-depth survey taking into consideration
the European textiles on wastewater treatment and management. Most commonly
small- and medium-scale firms dominate the processing of fabric (fabric cutting and
stitching) in the textile finishing industry. Adopting sustainable features for such
small- and medium-scale firms becomes a severe issue as they have less resource.
Ten years of data was carefully evaluated to frame the guidelines for reusing the
wastewater (Vajnhandl and Valh 2014). In total, four sectors were targeted; they
were textile, food, paper, and chemical industries; among them textile industry has
the highest impact on the environment by discharging polluted water, having
chemicals with coloring and other toxic agents. Reusing of such wastewater having
tons of effluents becomes not feasible. Therefore, the reports highlight to use a
separate treatment before it is discharged into the environment by using effective
conventional methodologies.
Zhao and Lin (2019) investigated the methods to improve the energy efficiency of
textile industries situated in china. The work was focused on implementing new
policies to enhance the energy efficiency of industries. A regression model was
adopted to draw the baseline, and it was expanded to identify factors associated with
enhancing the energy efficiency of industrial agglomeration. The results were
analyzed in three steps, the agglomeration to be affected as the value reaches the
limit of the threshold; after that, the value moves toward the positive sign indicating
its development related to economic growth, R&D, and drop in prices. In the third,
the regression model enables to develop a nonlinear relationship connecting agglomeration and efficiency. Innovation is greatly affected by the organization’s culture,
286
P. Pattnaik and G. S. Dangayach