Big Bazaar Research Articles

Assessing and Implementing Efficient Queuing Methods to Address Traffic Congestion at Shekhi-Choli Intersection in Erbil City

Queuing theory is the best way for estimating waiting lines for many phenomena in different fields. Queuing models are used to make decisions on determining the traffic flow in order to avoid congestions in the streets; therefore, it is a useful tool for resolving these issues, which is the objective of this paper. The intersection of Shekhi-Choli in Erbil was undertaken to determine the appropriate queuing models for incoming street lines at the intersection, as well as to solve the problem of a constrained queuing line with excessive wait durations. This intersection is important because it connects three roads that provide access to and from Erbil's big bazaar. Data were obtained from the chosen intersection for 12 days from 3 to 5 PM daily. EasyFit software version 5.4 and TORA software version 2 were used to analyze the data. The primary performance metrics were identified, and optimal queuing models were chosen to service drivers. The empirical distribution of automobile arrivals and departures is a Poisson distribution, with traffic intensities of 92%, 88%, and 80% for the first line (Barzani Namr str.), second line (Shekhi Choli str.), and last line (Sultan Muzaffar str.), respectively. Queuing models involve key features, such as population size, queuing discipline (SIRO, LCFS, FCFS, GD), arrival process, waiting process, and service channels. The Shekhi-Choli Intersection's current queuing scheme to service drivers is (M/M/1):(FCFS/∞/∞) model. As a result, the Erbil traffic police division must decide to provide suitable instruction for the first and second lines in order to minimize driver waiting time. To obtain more reliable information and findings, new studies should be conducted on the same site for three periods of time (morning, afternoon, and evening), in addition to other crowded intersections in Erbil city.

A Report on Rise and Fall of Big Bazaar

A Report on Rise and Fall of Big Bazaar

ETHICAL ELEGANCE TO TIMELESS TREASURES: DECODING THE ALLURE OF MODERN JEWELLERY TRENDS & TOP BRANDED SELLERS AMONG TODAY'S FASHION FORWARD WORKING WOMEN

India is getting more modern as portrayed in its big banners by one of leading multi-brand retail seller, ‘Big Bazaar’. Jewellery market is not an exception to this trend of getting more trendy and awesome. Indian working women wearing western outfits are lured towards light weight branded jewellery which suits the attire, enhancing overall look and beauty. Fashion brands like Mia by Tanishq, ORRA, Goenka India, Amrapali are renowned globally for their antique, glittering unique piece of designs. This is an attempt to overview the ever growing gold industry with changing demands and market needs considering working fashion-forward women in cities of India.

A Study on E-Tailing and the Factors Influencing Consumer Buying Decisions of Dairy Products During the Covid-19 Pandemic in India

During the COVID-19 pandemic and its mutations infecting humans, the Government of India imposed a lockdown all over the country, the exceptions were for commodities covered under the Essential Commodities Act, 1955. The essential commodities act, includes drugs, dairy products, fertilizer, foodstuffs, petroleum products, jute, textile, fruits, vegetables, cattle fodder, and cottonseed. This study will understand how the dairy industries coped during the pandemic by adopting new strategies from e-tailing and related factors. During the ongoing pandemic, this study mainly focuses on using mobile apps and e-stores for online sales of dairy products. The quantitative study uses primary and secondary data. The dairy products included in the study are curd, paneer, buttermilk w.r.t e-tailers like Milky moo, Omfed, Big Bazaar, Fresh express, Home express, Swiggy, and Nature’s basket. Many dairy companies have their apps and websites. This study is carried out in the capital city Bhubaneswar.

Mama Shamsi at the Bazaar by Mojdeh Hassani

Reviewed by: Mama Shamsi at the Bazaar by Mojdeh Hassani Sarah Sahn Hassani, Mojdeh Mama Shamsi at the Bazaar; written by Mojdeh Hassani and Samira Iravani; illus. by Maya Fidawi. Dial, 2023 [40p] Trade ed. ISBN 9780593110614 $18.99 E-book ed. ISBN 9780593110621 $10.99 Reviewed from digital galleys R* 4-8 yrs Young Samira is accompanying her grandmother, Mama Shamsi, to the big bazaar in Tehran to go grocery shopping for the first time. She’s excited, but she’s also [End Page 190] scared of getting lost, so she suggests all sorts of ways she can hide under her grandmother’s chador to stay safe. “Let me ride on your back,/ curled in your chador,/ so warm and so black,” she says, but “Na, na, na,” Mama Shamsi responds “with a chortle./ ‘Our neighbors will think that I am a turtle!’” Samira offers up more possible animals in scenes that come to life in Fidawi’s soft, watercolor-like digital art as Mama Shamsi transforms into a mule, a kangaroo, and a giraffe, (all wearing her pink flowered headscarf), while Samira peeks mischievously out from under the black chador. Mother-daughter writing team Mojdeh Hassani and Samira Iravani explain in their authors’ note that they based this cozy, whimsical outing on Hassani’s childhood in Tehran in the 1960s and ’70s, aiming to show the chador “as the safe and comforting space we always knew it to be” as well as “a stage-curtain cloth” that invited imaginative play. In doing so, they evoke the familiar warmth of a child’s relationship with a beloved grandparent, encapsulated in the last two spreads, which zoom in on Samira’s small hand in her grandmother’s and then pull back as they head into the busy market. A return to the city’s lively streets for a second look at the book’s urban milieu could extend a cuddly lapsit or an engaging storytime with grandparents and caretakers. Copyright © 2022 The Board of Trustees of the University of Illinois

Shopping trolley for automated billing system with pick and place mechanism using image processing

In the realm of individual E-business transactions, many people engage in purchasing various items from markets and shopping centers to fulfill their basic needs. Despite the numerous challenges faced by customers, a prevalent issue is the time-consuming process of waiting in line for billing, even when the purchase involves only a couple of items. This traditional method of queuing up, handling cash transactions, and the average time spent on each customer becomes particularly burdensome in crowded grocery stores and shopping malls .Customers, especially those inclined towards embracing new technologies, are eager for innovations that streamline the billing process, reducing waiting times and overall transaction duration. The primary objective is to meet the essential needs of customers and, importantly, alleviate the time spent on the billing process. The proposal is to transition from the conventional waiting-in-line approach to a system where the billing is completed within the shopping trolley itself. This paper introduces a technological solution that facilitates a seamless shopping experience, utilizing Raspberry Pi and other advancements. The proposed system is wellsuited for implementation in general shopping centers such as supermarkets, D-mart, Big Bazaar, and Walmart. The technology aims to significantly reduce time consumption, offering an enhanced shopping experience for customers.

A Detailed Study of the Point of Purchase at Big Bazaar: An Effective Management System

A Detailed Study of the Point of Purchase at Big Bazaar: An Effective Management System

Predicitive Analysis for Big Mart Sales Using Machine Learning Algorithm

Abstract: Currently, Big Marts, the equivalent of supermarket run-canters, keep track of each item's sales data in order to forecast implicit consumer demand and update force operation. In order to estimate the volume of bargains for each item for the association's stock control, transportation, and logistical services, each request aims to offer verified and limited time deals to attract numerous guests over time. By intentionally entangling the data store of the data storage, anomalies and broad trends are continuously uncovered. Retailers like Large Mart can use the performing data to predict future transaction volume utilising a variety of machine learning techniques, such as big bazaar. The present machine learning algorithm is very sophisticated and offers methods for predicting or reading deals with any kind of association, which is very beneficial to Always better prophecy is useful in creating and refining commercial marketing plans, which is particularly useful. The development of a prediction model utilising linear retrogression and Ridge retrogression methods for analysing the transactions of a company like Big- Mart, and it was found to perform better than models themselves. additional Measurable factors methods with regression, machineaccumulative (ARIMA), and Integrated Using Moving Average, (ARMA) machine-cumulative Moving normal, create many transactions that read morality.

A STUDY ON RECRUITMENT AND SELECTION AT BIG BAZAAR-HYDERABAD

This study throws light upon various sources of recruitment and selection process in Big Bazaar company. The main purpose of the study is to identify the probable area of improvement for the next generation to make recruitment and selection practices more efficient. The recruitment and selection process is the foremost pillar of success in any organization. Thus, every business must seek to improve the quality of its workforce. To get the best human resource, an efficient and well planned strategy is required at the workplace. Nowadays, technical advances are being made in the field of human resource with time and slowly the traditional sources of human resource are being replaced by new and technically enhanced sources and methods of recruitment and selection processes. Therefore, recruitment process in an organization must be effective to attract the best talent. The primary data for this study has been collected through a structured questionnaire and convenience sampling method was used. In this paper, an attempt has been made to understand the advancing recruitment and selection (staffing) process in the Big Bazaar Company and offer a recommendation for the same. KEY WORDS : Recruitment, Selection, Human resource, Manpower planning, Big Bazaar.

STUDY OF SELLING BEHAVIOR OF SALESPERSON

Today's sales management faces difficult sales management problems in order to achieve the desired performance. Company performance is closely tied to how effectively sales represent perform sales tasks. Sales need to be flexible and adapt their sales style to all different situations, as they need to deal with different customers and work on different sales situations. The behavior of a salesperson in coordinating a sales approach is known as adaptive sales behavior. The ability of a salesperson to perform a sales task depends on being able to practice adaptive sales behavior during and during sales with the customer. This study focuses on management and empowerment management techniques and looks at their simultaneous impact on the adaptive behavior of sales. The survey was conducted on a sample of a Grocery Shops. Ten Big Grocery Shops participated in the survey, (Big bazaar, Reliance, Lots Etc.) with a total of 100 responses. The results show that activity management and empowerment practices for encouraging decision-making participation, expressing trust, and providing autonomy are closely linked to sellers' adaptive sales behavior practices. Implications, research limitations, and improvements for future research were discussed. Keywords #salesperson #grocery #customers #sales #sales management #salesbehavior #sales #research #researchproject

Study on Promotion Mix Strategy Towards Big Bazaar Bidar

Study on Promotion Mix Strategy Towards Big Bazaar Bidar

A Study on Impact of Sales Promotion and Offers on Customers of General Merchandise Products at Retail Stores in Hubli

Abstract: A study on “The impact of sales promotion and offers on customers of general merchandise products” the main objective of the research to study the impact of sales promotions and offers on customers .Hubli being one of the fast growing cities of Karnataka has slowly started witnessing a change with respect to shopping. People here, are willing to have a shopping experience similar to metro cities. A study on the impact of sales promotions and offers on customers of general merchandise products at big bazaar at Hubli in order to understand the consumer’s attitude towards the sales promotions of specific company such as Big Bazaar and the basis on what it is expected by them. The report includes detailed study of the industry profile and about the organization. This study enhances the process of understanding the consumers through the survey conducted on them. This study is explorative in nature, including a survey and fact finding. Simple random sampling procedure was used to select the sample. Through this study an attempt has been made to understand the mind set of customers about big bazaar and accordingly the recommendations has been made with the help of findings & customer’s suggestions. The main objective of the study is to understand the attitude and perception of customers towards Big Bazaar. The data for the study is based on 100 samples, which is collected in the form of structured questionnaire. The study is confined only to the customers who shop at Hubli. Both primary and secondary data are used for the study. Primary data was collected with the help of structured questionnaire to extract necessary data from the respondents. Secondary data was collected from company websites. Questionnaire consists of dichotomous; ratings scale questions and open-ended questions. The collected data was analyze and interpreted by using statistical tools and graphical representation has been done. Keywords: Sales promotions, impulsive buying, types of promotions, organized retailing.

The Attitude of Consumers towards Organised Food Retailing: An Application of Attitude-towards-Object Model

Organised retail sector is booming in metros, cities and now even in small towns; and organised food retailing is one of the fastest growing sector among them. The different types of food retail formats have its own characteristics, focus and target market. The customer or consumer has their own criteria to select a particular food retail format. The selection is based on the attitude of the customer or consumer towards the attribute of the retail format. There are many model to find the attitude of customer or consumer towards any product, service and brands. This study is an attempt to find out the customer's or consumer's attitude towards three major food retailing formats i.e Big Bazaar, a hypermarket; Reliance Fresh, a convenience store and Suvidha, a supermarket.

Similar yet Different: A Comparative Study of Profitability Performance of Indian Retail Sector with a Special Reference to Big Bazaar and D Mart

Indian retail market has developed by means of one of the fastest-growing markets due to economic growth and the access of more than a few new players. Rising revenue as well as demand for quality products increases consumption expenditure. The existing research work goals to analyse the performance of the Indian retail segment and the aspects that make the Profit of Big Bazaar and D Mart, Different, despite their similar Sales revenue. Some variables such as Net Profit Margin, Inventory, Inventory turnover ratio, accounts receivables and Trade payables have been taken to study the profitability of the two selected players. It has been divulged that notwithstanding the insignificant variance in sales of Big Bazaar and D Mart, there has been a significant variance in Net Profit Margin, Inventory, Inventory Turnover ratio, Accounts Receivables and Trade Payables thereof. Though the sales of Big Bazaar and D Mart are marginally different, D Mart’s position and profitability performance have comparatively been seen healthier.

Customers Perception with Reference to Customer Relationship Management in Organized Retail in Visakhapatnam

The article explains the customer perception with reference to Customer Relationship Management (CRM) in organized retail sector of Visakhapatnam city. This study was done with a sample size of600 customers to investigate their opinion about the quality of offered customer services by organized retails stores and its impact on customer satisfaction. The study is focused on services provided by organized retailer like Spencer’s, More, Reliance fresh, Big Bazaar and others in Visakhapatnam city. The findings show an indication that the customer perception depends on Positive attitude towards Customers, Flexible timings of purchase/ exchange, and Better grievance process.

A Study On Online Spam Review Detection Methods By Machine Learning Approach

Online reviews for products, movies, shopping, etc. have become the major purchase decision of customers to make before buying the product. These reviews are kind of public opinion about the product which they bought and this may help another person who is willing to buy the product. The impact of reviews had made manufacturers, and retailers to be more concerned about making the product as a best one. Many retailers such as Reliance, Big Bazaar, More, etc are very concerned about online reviews and there are possibilities for these reviews to affect business either positively or negatively. Certain retailers are trying to create false reviews about the product through AI as a part of promoting the product. This process is termed the Opinion spam or opinion review spam here is where the reviewers manipulate a wrong review for selling the product for profit. Not all online reviews are trustworthy and truthful so in such cases, a model must be created for detecting online review spam. This research paper tries to highlight the online spam review detecting by machine learning approach using NLP (Natural Language Processing) where the extracted features from the text will be taken for further review. In this research main focus was shifted to the ML technique for detecting review spam, and classifying them. The main aim of the research is to provide a comprehensive ad strong ML approach for detecting review spam.

AN INITIATIVE TO MAKE SHOPPING HASSLE FREE FOR INDIVIDUALS WITH ASD STEPS TOWARDS SUSTAINABLE DEVELOPMENT

The United Nations Development Programme's (UNDP) 2030 Agenda for Sustainable Development and its 17 Sustainable Development Goals (SDGs) provide a powerful framework for guiding local communities, countries, and the international community toward disability-inclusive development. Accessible, well-designed, and maintained public space is critical to the health of any city. Yet public spaces are generally created for an ideal individual without disability or limitation. Reasonable accommodations and support systems must be in place for all disabilities more so for invisible disabilities. In the urban environment, there are very few places for individuals with Autism Spectrum Disorder (ASD) to congregate and socialize. For most individuals with ASD and their families, shopping in malls, an activity that most of us take for granted, become so challenging that they often avoid it. In this paper we discuss how the retail giant Big Bazaar addressed this issue and took some major steps to make shopping in their outlets a hassle free, happy experience for individuals with ASD.  Big Bazaar has made its stores accessible to people with disabilities by implementing disability-friendly accessibility programs and infrastructure improvements. This initiative was based on their larger philosophy on inclusion and empowerment of people with disabilities. It is part of the new mantra coined at Big Bazaar to incorporate the philosophy of “Sabke Liye” meaning ‘for everyone’. Big Bazaar launched Autism Quiet Hour in April 2019 and it has been a regular feature every Tuesday. Several measures are taken during this duration so that the shopping area is autism friendly. Autism Society West Bengal (ASWB) was the NGO partner of Big Bazaar in Kolkata and was active in the awareness and sensitization program prior to the launch of Autism Quiet Hour in two outlets of Big Bazaar in Kolkata. In this paper we will also discuss about the measures that Big Bazaar took to make the shopping experience for individuals with autism a happy one.

Effect of the price drop on customer's perceived evaluation across selected product categories

A price drop is a very common promotional tool used by brands and marketers to stimulate impulse buying as well as to improve stagnant sales. This study is primarily directed to study the effect of the price drop on the customer's perceived evaluation across selected product categories. For this study, the top three product categories based on the category wise sales data revealed by various online as well as offline shopping players during price drop sales have been selected, namely apparel, footwear, and electronics, as these product categories were most preferably shopped by customers and witnessed frequent price drop during festival seasons. For collecting data in National Capital Region (NCR), using purposive sampling 250 shoppers were surveyed who shopped for these product categories at Big Bazaar, Pantaloons, Spencer, Reliance trends, Amazon, Flipkart during discount days. Exploratory factor analysis (EFA) has been run to identify the factors of customers’ perceived evaluation in case of a price drop. Further Multivariate Analysis Of Variance (MANOVA) has been used to check the effect of a price drop on identified perceived evaluation across selected product categories. This study explored that in case of price drop customers become concerned about the product quality, value, brand reputation, and innovativeness. Based on the mean value, the study found that customers were more concerned about perceived quality in case of price drop followed by perceived innovativeness, perceived value, and perceived brand reputation. The research further demonstrated that product categories were significantly related to perceived evaluators in case of a price drop.

Comparative analysis of service quality of Big Bazaar and Spencer's: a fuzzy approach

PurposeThe main objective of this study is to compare the service quality of two retail chains of hypermarkets, namely, Big Bazaar and Spencer's, using the trapezoidal fuzzy approach.Design/methodology/approachCustomers from Big Bazaar and Spencer's of Andhra Pradesh, India, have been surveyed through a well-designed questionnaire. The study attempts to compare the service quality of two major retail giants (Spencer's and Big Bazaar) in Andhra Pradesh by using the trapezoidal fuzzy approach to prioritize the attributes of service quality of retail outlets.FindingsThe result of the study indicates that the expectations of Big Bazar customers are higher as compared to Spencer's. Further, the study reveals – that Spencer's need to improve in the dimension of tangibility while Big Bazar needs to focus more on responsiveness.Research limitations/implicationsAs the data taken for the study are primary in nature, chances of bias may arise on the part of respondents, which may affect the validity of results. Further, the study is confined to two retail stores in Andhra Pradesh, India only, which may not reflect the broader picture.Practical implicationsRetailers may provide more importance to two major service quality dimensions, i.e. tangibility and responsiveness while preparing for their service and marketing strategies.Originality/valueAs the study relates to the comparative analysis of service quality of Big Bazar and Spencer's, the findings will be of additional value to these specific retailers. Therefore, it is expected that this study will fill the gap in the literature by prioritizing the expectations and perceptions of customers of Big Bazar and Spencer's.

CONSUMER BUYING BEHAVIOUR IN BIG-BAZAAR DURGAPUR

Consumer’s behaviour is often studied because certain decisions are significantly affected by their behaviour or expected actions. For this reason consumer behaviour is said to be applied discipline.In a general sense, the most important reason for studying consumer behaviour is the significant role it plays in our lives. Much of our time is spent directly in the market place, eating or engaging in other activities. A large amount of additional time is spent thinking about products and services, talking to friends about them, and seeing or hearing advertisements about them. These general concerns alone are enough to justify our study of consumer behaviour. However, many seek to understand the behaviour of consumers for what are thought to be more immediate and tangible reasons. The main reason behind this project was to find out the buying behaviour of the consumer while shopping at big bazaar because most of the population surveyed preferred to shop at malls and how day by day the consumers demands are increasing and through this project I came to know that what are the various behaviour of a typical customer who shops at big bazaar.