24 research outputs found
Optimization of an M/M/1/N Feedback Queue with Retention of Reneged Customers
No full textCustomer impatience has become a threat to the business world. Firms employ various customer retention strategies to retain their impatient (or reneged) customers. Customer retention mechanisms may help to retain some or all impatient customers. Further, due to unsatisfactory service, customers may rejoin a queue immediately after departure. Such cases are referred to as feedback customers. Kumar and Sharma take this situation into account and study an M/M/1/N feedback queuing system with retention of reneged customers. They obtain only a steady-state solution for this model. In this paper, we extend the work of Kumar and Sharma by performing an economic analysis of the model. We develop a model for the costs incurred and perform the appropriate optimization. The optimum system capacity and optimum service rate are obtained. (original abstract
Stock market prediction, COVID-19 pandemic and neural networks: an SCG algorithm application
No full textPurpose: This study aims to predict the Indian stock market (Nifty 50) by employing macroeconomic variables as input variables identified from the literature for two sub periods, i.e. the pre-coronavirus disease 2019 (COVID-19) (June 2011-February 2020) and during the COVID-19 (March 2020-June 2021). Design/methodology/approach: Secondary data on macroeconomic variables and Nifty 50 index spanning a period of last ten years starting from 2011 to 2021 have been from various government and regulatory websites. Also, an artificial neural network (ANN) model was trained with the scaled conjugate gradient algorithm for predicting the National Stock exchange's (NSE) flagship index Nifty 50. Findings: The findings of the study reveal that Scaled Conjugate Gradient (SCG) algorithm achieved 96.99% accuracy in predicting the Indian stock market in the pre-COVID-19 scenario. On the contrary, the proposed ANN model achieved 99.85% accuracy in during the COVID-19 period. The findings of this study have implications for investors, portfolio managers, domestic and foreign institution investors, etc. Originality/value: The novelty of this study lies in the fact that are hardly any studies that forecasts the Indian stock market using artificial neural networks in the pre and during COVID-19 periods
A Stochastic Feedback Queuing Model with Encouraged Arrivals and Retention of Impatient Customers
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M/M/c/N queuing systems with encouraged arrivals, reneging, retention and feedback customers
No full textCustomers often get attracted by lucrative deals and discounts offered by firms. These, attracted customers are termed as encouraged arrivals. In this paper, we developed a multi-server Feedback Markovian queuing model with encouraged arrivals, customer impatience, and retention of impatient customers. The stationary system size probabilities are obtained recursively. Also, we presented the necessary measures of performance and gave numerical illustrations. Some particular, and special cases of the model are discussed
Crowdsourcing & Marketing: A Relationship in the Making
No full textCrowdsourcing seems to have come of age since Jeff Howe christened it in 2006 and the writing on the wall is clear. As more and more companies are trying to jump on the crowdsourcing bandwagon, crowdsourcing as a marketing strategy is cementing its place in the fiercely competitive business environment and it’s leading the crowd of strategies which have come to the fore in the recent years. The business corridors are buzzing with this ever evolving phenomenon, which no more seems like another buzz word around. As this phenomenon is gaining currency across boundaries, the academic research around this topic has also gained lot of attention. As a result this paper will draw attention toward the marketer’s perspective about crowdsourcing, as they are the one who are the harbinger of the future growth of crowdsourcing. This paper will highlight the level of awareness of crowdsourcing among the marketing managers, their perspective about its use and impact on various marketing strategies. In addition to this, their perspective on digital divide is considered to be discussed, as digital divide could play a spoilsport in the relationship between crowdsourcing and marketing. Most often it is said that if you want to do something different then don’t follow the crowd, first time it seems it is good to follow the crowd
An M/M/2 Heterogeneous Service Markovian Feedback Queuing Model with Reverse Balking, Reneging and Retention of Reneged Customers
No full textA Qualitative Analysis of the Success of Entrepreneurship Development Programs Based on Segment Studies
No full textEntrepreneurship Development Program include Strategies to increase Business which involve identifying areas where new ventures can be set up and so it is important to analyse the success of such program. This Paper is aimed at analysing success of the Entrepreneurship Development Program that are carried out across the country by educational institutions. A Survey was carried out across all such institutes where EDP was delivered and the participants were asked to rate the program attended by them on parameters that play a key role in development of the entrepreneurial skills. The data of 1000 such participants were taken. Their results were segregated and aggregated and the result was studied through pie graphs to give a qualitative analysis of the inclination of each group among the segregated ones
