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The purpose of this research is to examine why and when restaurant consumers use and contribute user-generated reviews. This research is needed to determine the relevance of user-generated restaurant reviews in the current marketplace.

The research methodology is based on a quantitative approach, and focused on current Yelp.com users as its population. Questions focused on the amount of usage, motives for usage, level of trust, users’ tendencies to seek novelty in restaurants and motives for contribution.

Users tend to trust the reviews on Yelp.com and engage in the community aspects of the platform. Yelp.com users also are altruistic in their motivation for contributing reviews to Yelp.com. Yelp.com users who access it tend to act on the information found within the reviews.

Research articles have focused on user-generated reviews in the past; however, few have examined motivations of using and posting restaurant reviews. The value of conducting research comes from being able to understand the importance of user-generated restaurant reviews for customers in a comprehensive manner.

The aim of this paper is to extend a conceptual understanding of business process outsourcing (BPO) and its prevailing practices in the background of the post‐liberalized economic scenario of India. Efforts have also been made to discuss the major work verticals of Indian ITES‐BPO industry, which further reveals the fact of its domain expertise and in‐time delivery of services in a pre‐determined standard with least possible cost that has made India a BPO hub. The later part of the study deals with an empirical SWOT‐analysis that highlights the key factors that have significant bearing to the very flourishment of this sunshine industry.

The data collected for the analysis are secondary in nature and include various journals, periodicals, survey reports and on‐line business reports/news. The techniques like trend analysis and SWOT analysis in particular have been implemented for the purpose of study.

The paper found that in addition to the growth of traditional industries, patronization of this emerging sector is also a high necessity, looking at its socio‐economic contribution to the society on one hand and considerable amount of employment creation and income generation capabilities for the bright mass of the country that restrict “brain drain”, on the other hand.

The paper describes, analyses and critiques the outsourcing industry in India with reference to a core theory base. It is expected to be helpful in stimulating the analytical mind of the researchers and industry practitioner of the area for scientific decision making and furthering the research on this particular aspect of business.

The purpose of this paper is to investigate the optimized setting of wire-cut electrical discharge machining (WEDM) parameters at which material removal rate (MRR) and mean roughness depth (Rz) set a compromise. The problem in the processing of Ti-6Al-4V by conventional processes is a high strength, high hardness, high tool wear. Due to which WEDM is adopted to machine Ti-6Al-4V biomedical alloy. Ti-6Al-4V alloy has a number of applications in the engineering and medical industries due to its high strength biocompatibility.

The effect of control factors (i.e. pulse on-time: Pon; pulse off-time: Poff; servo voltage: SV) on the MRR and Rz is investigated in the present research. The planning of experiments is done using a Taguchi-based L9 orthogonal array. The percentage influence of each factor on responses is also evaluated. The multi-objective optimization is done using the grey approach initially. After that, the results were also calculated using harmony search (HS). Therefore, a hybrid approach of grey and HS is used to find the optimized values of MRR and Rz.

The maximum value of grade calculated by grey-HS is 0.7879, while in the case of the experimental run the maximum value of grey grade is 0.7239. The optimized setting after improvisation at this grade value is Pon: 130 µs; Poff: 45 µs and SV: 70 V for MRR and Rz collectively. The validation of the suggested setting is completed by experimentation. The values of MRR and Rz are coming out to be 6.4 mm³/min and 13.84 µm, which represents improvised results after the implementation of the HS algorithm.

The integration of the grey approach with the HS principle in the manufacturing domain is yet to be explored. Therefore, in the present research hybrid approach of grey-HS is implemented in the manufacturing domain having applications in medical industries.