Sustainability reporting, under organizational reporting framework, gives information about economic, environmental, social, and governance performance (GRI). Corporate sustainability reporting has a strong practice of environmental reporting with corporate principles. Despite various guidelines such as GRI, the reporting and presentation of sustainable items are not common in practice. The study aims to analyze the current sustainability of Accounting Practices in Indian Cement Companies. To analyze the same, researchers have taken a case study of five prominent cement companies, JK Cement Ltd., Shree Cement Ltd., ACC Cement Ltd., Binani Cement Ltd., and Ambuja Cement. The study observed the common reporting methods of the selected companies under various common heads in the Indian Cement companies and later to make a comparison amongst them, further by taking the views of the company respondents, with a questionnaire. For measuring combined effect of the selected companies, financial and non-financial disclosure of the selected 13 items for sustainable reporting has been considered, and to analyze the independent variables having influenced upon the combined effect of dependent variables MANOVA statistical technique was applied. It was found that there is a critical difference in the reporting of financial and non-financial sustainability factors by Indian cement companies. The study concluded that the corporations should follow the best standards of environmental sustainability for strengthening their activities and documentation on sustainable growth.

Industries, nowadays, are concerned about energy consumption and ever narrowing rules of emissions by the governments. Therefore, a race to clean; green and less energy consuming manufacturing is going on throughout the world. But in authors’ perspective, the major part of energy exploitation lies in the production of a rejected product. Therefore alongside the use of energy saving processes and machinery, industry should primarily look for rejection reduction. This, apart from energy saving and profitability, will add to the moral responsibility of every person toward nature. Here in this paper, authors describe a case study in which the increased rejection rate of a part of cycle chain assembly is controlled by the application of Six Sigma. Six Sigma, from many years has proved to be an ultimate solution when it comes to the application part in manufacturing industries. It’s very generic and easily applicable methodology has drawn tremendous positive results throughout the world. A financial gain of INR 0.267 million was yielded by implying six-sigma approach. In a move toward energy saving, the money saved by the project was used for green manufacturing to promote energy conservation.

The contribution of Indian construction sector to the GDP is approximately 10%. Under new government policy, it is anticipated that $1000 Billion share for exclusively infrastructure segment would be completed within the next few years. Construction sector in developing country like India still depends on labor and the practice of mechanization, adopting to use of versatile construction equipment is not in force. The need for implementing new technologies and automation is essential to improve the quality, safety and efficiency. To meet the challenges ahead the construction, organizations should focus on utilization of machinery/equipment to achieve desirable results. Modern construction is characterized by the increase in utilization of equipment to accomplish numerous construction activities. The selection of construction equipment often affects the required amount of time and effort. It is therefore important for managements of construction organizations and planners to be familiar with the features of various types of equipment commonly used in construction activities. The selection of appropriate equipment is a crucial decision making process as it involves huge capital investment. The purpose of the present study is to develop a model pertaining to the factors influencing the selection of construction equipment by using interpretive structural modelling and the results indicate that productivity and safety are the important factors in selection of equipment in Indian construction organizations.

With superlative growth in the number of small organizations over the past two decades, the impact caused to environment due to higher production output is also immense. Most governments are continuously taking measures to mitigate the risks associated with industrial growth. One such measure is to implement green practices throughout the supply chain. Since small organizations are important part of supply chain and a major contributor of industrial output they also need to implement green supply chain practices. This paper aims to find out important enablers for green supply chain management (GSCM) from the view point of micro small and medium enterprises (MSMEs). Fuzzy analytical hierarchy process methodology has been used to rank the enablers, three important enablers were identified viz. top management commitment and finance, government support and regulations and recycling and reuse efforts. Managers of small organizations can benefit immensely by focusing on implementing these practices in their organizations.

This study aims to focus on the purchase intention of the consumer specifically the millennial age group with respect to the effect of Electronic word of mouth communication and brand image. The study is performed among the students of the University of Haripur. Study reveals that the effect of Electronic word of mouth and brand image for the purchase of consumer electronics products have positively correlated and the effect is significant, which means that the Word of mouth communication can positively respond to the purchase of the said products in case when the products are branded and have certain image in the mind of consumer.

In the light of recent excess of reported crimes in various states and union territories (UTs) of India, it becomes imperative to evaluate the police performance of different states/UTs in order to identify the poor/under-performing ones requiring immediate attention. Although, a limited amount of research work has been carried out in this area, mainly employing data envelopment analysis approach, a definitive ranking of Indian states/UTs with respect to their police performance has never been derived using any of the multi-criteria decision making (MCDM) techniques. Thus, the aim of this paper is focused on evaluating and ranking of all the Indian states/UTs with respect to their performance in minimizing criminal activities while employing additive ratio assessment (ARAS) method as a simplistic MCDM tool. It is revealed that Chandigarh evolves out as the best performer amongst all the 35 Indian states/UTs, while West Bengal comes out as the worst performer. A detailed analysis of the results is also carried out to identify those Indian states/UTs where substantial improvement can be brought in.

A novel one-pot, solvent-free method for the synthesis of dithiocarbamates was developed through the reaction of corresponding alkyl halides, amines and carbon disulfide employing catalytic amount of benzyl trimethyl ammonium hydroxide (Triton-B). The reaction conditions are milder with extremely simple work-up procedures than the reported methods, afforded high yields (82-98%) of the desired products.

The corrosion inhibition efficiencies of two novel Schiff bases, namely (E)-3-[thiophen-2-ylmethyleneamino]benzoic acid (T2YMABA) and (E)-4-(5-[(2-phenylhydrazono) methyl]thiophen-2-yl)benzoic acid (PHMT2YBA) on mild steel (MS) in 1.0M HCl solution has been investigated and compared using electrochemical impedance spectroscopy and potentiodynamic polarization analysis. The Schiff bases exhibited very good corrosion inhibitions on mild steel in 1.0M HCl medium and the inhibition efficiency increased with the increase in concentration of the inhibitor. Polarization studies revealed that T2YMABA acted as a mixed type inhibitor whereas PHMT2YBA molecules acted as anodic inhibitor.

In open travelling salesman subset-tour problem (OTSSP), the salesman needs to traverse a set of k (≤n) out of n cities and after visiting the last city, the salesman does not necessarily return to the central depot. The goal is to minimize the overall traversal distance of covering k cities. The OTSSP model comprises two types of problems such as subset selection and permutation of the cities. Firstly, the problem of selection takes place as the salesman’s tours do not contain all the cities. On the other hand, the next problem is about to determine the optimal sequence of the cities from the selected subset of cities. To deal with this problem efficiently, a hybrid nearest neighbor technique based crossover-free Genetic algorithm (GA) with complex mutation strategies is proposed. To the best of the author’s knowledge, this is the first hybrid GA for the OTSSP. As there are no existing studies on OTSSP yet, benchmark instances are not available for OTSSP. For computational experiments, a set of test instances is created by using TSPLIB. The extensive computational results show that the proposed algorithm is having great potential in achieving better results for the OTSSP. Our proposed GA being the first evolutionary-based algorithm that will help as the baseline for future research on OTSSP.

A simple multi-attribute decision-making method based on ranking of alternatives and attributes is proposed in this paper. The method ranks the alternatives with respect to each of the attributes based on the corresponding performance measures. Similarly, the ranks are assigned to the attributes based on their importance as perceived by the decision maker. The ranks assigned to the alternatives with respect to each of the attributes and the ranks assigned to the attributes are converted to appropriate weights and the final composite scores of the alternatives are computed using these weights. An interesting feature of the proposed method is that the qualitative attributes (i.e. the attributes expressed in linguistic terms) need not require the use of fuzzy logic. The proposed method is very simple and useful in situations of limited time availability, presence of qualitative attributes, imprecise/incomplete/partial data, and decision maker’s limited attention and capability to process the information. The proposed method is proved easier and better compared to the other widely used decision-making methods. The proposed method will be tested further on more realistic problems of the industrial environment and the results will be reported soon.