Search results

1 – 5 of 5
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 1 June 2021

Sajith Narayanan and Jyoti Ranjan Das

Purpose branding is a concept that has gained momentum in recent years. It is a marketing innovation that has the potential to change why and how companies work. Still, academic…

2895

Abstract

Purpose

Purpose branding is a concept that has gained momentum in recent years. It is a marketing innovation that has the potential to change why and how companies work. Still, academic research on purpose branding is scarce. This paper aims to increase awareness about purpose branding and showcase how it can be implemented successfully through account of Hindustan Unilever Limited (HUL).

Design/methodology/approach

The study is based on qualitative research and case analysis of HUL by examining its published reports, its parent company’s trade publications, press articles and relevant studies in indexed journals.

Findings

Purpose branding is a marketing innovation that delivers increased value to all stakeholders. The account of HUL reveals that purpose branding reaps economic rewards for the organization.

Practical implications

A study by Havas Media group involving 300,000 customers across 33 countries found that the customers would not care if 74% of brands in the world disappeared. In such a context, purpose branding provides a way to make the brand meaningful and play a worthy role in consumers’ lives. HUL’s brands that used this approach grew by 69% and accounted for 75% of its overall growth, showing how other organizations can imbibe it into their brands.

Originality/value

Despite many trade publications on this trending topic, there is limited academic research on purpose branding. This paper focuses on understanding this concept and demonstrates its successful use by an organization.

Details

International Journal of Innovation Science, vol. 14 no. 3/4
Type: Research Article
ISSN: 1757-2223

Keywords

Access Restricted. View access options
Article
Publication date: 8 December 2020

Jyoti Ranjan Nayak, Binod Shaw and Neeraj Kumar Dewangan

In this work, generation control of an isolated small hydro plant (SHP) is demonstrated by applying optimal controllers in speed governor and hydraulic turbine system. A…

38

Abstract

Purpose

In this work, generation control of an isolated small hydro plant (SHP) is demonstrated by applying optimal controllers in speed governor and hydraulic turbine system. A comparative analysis of application of fuzzy PI (FPI) and PID controller is conferred for generation control (both power and terminal voltage) of an SHP. The controllers are designed optimally by using crow search algorithm (CSA) and novel hybrid differential evolution crow search algorithm (DECSA). The purpose of this paper is to settle the voltage and real power to improve the quality of the power.

Design/methodology/approach

In this work, the controllers (PID and FPI) are implemented in speed governor and excitation system of SHP to regulate power and terminal voltage. Differential evolution and CSA are hybridized to enhance the performance of controller to refurbish the power and terminal voltage of SHP.

Findings

The proposed DECSA algorithm is applied to solve ten benchmark functions, and the effectiveness of DECSA algorithm over CSA and DE is demonstrated in terms of best value, mean and standard deviation. CSA and DECSA algorithms optimized controllers (PID and FPI) are used to design SHP with the capability to contribute power and voltage of better quality. The comparative analysis to substantiate the competence of DECSA algorithm and FPI controller is demonstrated in terms of statistical measures of power and voltage of SHP. Robustness analysis is performed by varying all system parameters to prove the effectiveness of the proposed controller.

Originality/value

The proposed algorithm and FPI controller are applied individually to improve the quality of the power of SHP. DE, CSA and DECSA algorithms are implemented to solve benchmark equations. The solutions of all benchmark equations contributed by DECSA algorithm is converged rapidly and having minimum statistical measures as compared to DE and CSA algorithms. The DECSA algorithm and FPI controller are proposed with superior competence to enhance the generator performances by conceding undershoot, overshoot and settling time of power and terminal voltage. DECSA-based FPI controller contributes a noticeable improvement of the performances over other approaches.

Available. Open Access. Open Access
Article
Publication date: 13 December 2021

Hitesh Kyal, Anirban Mandal, Fedric Kujur and Sriparna Guha

This research would like to address the issues associated with individual entrepreneurial orientation, which involves entrepreneurial leadership and entrepreneurial ability as the…

5208

Abstract

Purpose

This research would like to address the issues associated with individual entrepreneurial orientation, which involves entrepreneurial leadership and entrepreneurial ability as the key determinants of MSME growth. It will also explore both mediating and moderating roles of employee motivation and government intervention, respectively during the pandemic situation.

Design/methodology/approach

A purposive sampling technique was applied during pilot study and during the final data collection phases. Exploratory Factor Analysis (EFA) was conducted using varimax rotation to reduce a large number of variables into a smaller set of interpretable underlying factors. Further CFA and SEM are respectively applied to examine the psychometric properties of the scales and test the hypotheses of the research model.

Findings

The study's findings revealed a favourable association between entrepreneurial orientation, business financing, management, market practices, and MSME growth performance. The results support the notion that government policy plays a significant role as a full moderator.

Practical implications

Although the MSME sector receives government support, its implementation requires a skilled leader who can run the business profitability. The findings support this objective.

Originality/value

This paper seeks to give important insights into one of the understudied but quickly expanding MSME entrepreneurship, and how this environment influences individual entrepreneurial orientation and the formation of entrepreneurial leadership. This opens up a previously unexplored area for fresh insights and future study on enhancing entrepreneurship development research and practice for the MSME sector.

Details

IIM Ranchi journal of management studies, vol. 1 no. 1
Type: Research Article
ISSN: 2754-0138

Keywords

Access Restricted. View access options
Book part
Publication date: 22 July 2024

Pratham Parekh

The apex planning body of India, NITI Aayog launched an Aspirational District Programme (ADP) in January 2018. The programme aimed to the quick and effective transformation of 112…

Abstract

The apex planning body of India, NITI Aayog launched an Aspirational District Programme (ADP) in January 2018. The programme aimed to the quick and effective transformation of 112 (14%) districts of the country. This programme is considered as world's biggest result-based governance initiative having reached up to 250 million people. It is based on a ranking that is done on monthly basis. This ranking is based on 49 KPIs across six broad socio-economic themes.

The study attempts to inquire and assess the progress made by 112 Aspirational Districts under Financial Inclusion, Skill Development and Basic Infrastructure theme from the inception of the programme to June 2022 (i.e. 54 months). Instead of ranking districts with delta rank or composite scores, the study divorce from NITI Aayog's methodology of monthly delta ranking. The study explores 8 indicators under the basic infrastructure theme and 16 indicators under the financial inclusion and skill development themes. For this purpose, the study explores the availability of individual household latrines, drinking water, electricity and road connectivity. Districts are also tracked for the number of Internet-connected Gram Panchayats, and panchayats with Common Services. Every district is provided with the target as per national development priority, the study makes an effort to grasp the distance of each district from the national target. This allows researchers to develop a scale Very Far, Far, Near, Very Near, Achieved with descriptive statistics techniques. Juxtaposing the scale with timelines results in a pattern of progress made by these 112 districts.

Details

Modeling Economic Growth in Contemporary India
Type: Book
ISBN: 978-1-80382-752-0

Keywords

Access Restricted. View access options
Article
Publication date: 12 December 2024

Shelza Dua, Sanjay Kumar, Ritu Garg and Lillie Dewan

Diagnosing the crop diseases by farmers accurately with the naked eye can be challenging. Timely identification and treating these diseases is crucial to prevent complete…

14

Abstract

Purpose

Diagnosing the crop diseases by farmers accurately with the naked eye can be challenging. Timely identification and treating these diseases is crucial to prevent complete destruction of the crops. To overcome these challenges, in this work a light-weight automatic crop disease detection system has been developed, which uses novel combination of residual network (ResNet)-based feature extractor and machine learning algorithm based classifier over a real-time crop dataset.

Design/methodology/approach

The proposed system is divided into four phases: image acquisition and preprocessing, data augmentation, feature extraction and classification. In the first phase, data have been collected using a drone in real time, and preprocessing has been performed to improve the images. In the second phase, four data augmentation techniques have been applied to increase the size of the real-time dataset. In the third phase, feature extraction has been done using two deep convolutional neural network (DCNN)-based models, individually, ResNet49 and ResNet41. In the last phase, four machine learning classifiers random forest (RF), support vector machine (SVM), logistic regression (LR) and eXtreme gradient boosting (XGBoost) have been employed, one by one.

Findings

These proposed systems have been trained and tested using our own real-time dataset that consists of healthy and unhealthy leaves for six crops such as corn, grapes, okara, mango, plum and lemon. The proposed combination of Resnet49-SVM and ResNet41-SVM has achieved accuracy of 99 and 97%, respectively, for the images that have been collected from the city of Kurukshetra, India.

Originality/value

The proposed system makes novel contribution by using a newly proposed real time dataset that has been collected with the help of a drone. The collected image data has been augmented using scaling, rotation, flipping and brightness techniques. The work uses a novel combination of machine learning methods based classification with ResNet49 and ResNet41 based feature extraction.

Details

International Journal of Intelligent Unmanned Systems, vol. 13 no. 1
Type: Research Article
ISSN: 2049-6427

Keywords

1 – 5 of 5
Per page
102050