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Advanced bibliometric methods have emerged as key tools in mapping the history and trends of a discipline. This paper aims to demonstrate on applying various bibliometric methods to track a journal’s impact and review its knowledge contribution. In doing so, the authors take the case of IIMB Management Review (IMR) journal focused on management discipline, in consideration of its 10 years of publication presence.

Using bibliometric and Scopus metric methods, the authors map and analyze the productivity of IMR Journal and map its knowledge contributions.

The authors identify the IMR journal’s impact, its growth, the most prolific authors/affiliations, key research hotspots, cross-country collaboration and emerging trends over the past decade.

A 10-year longitudinal review helps the target group identify the main themes. It also provides key empirical insights to the journal editorial board and library managers for future planning and growth of the journal.

To identify the characteristic features of humanistic leadership in the Tata group in India, and to explicate the key facilitating factors.

Narrative case-study inquiry via semi-structured interviews with top management leaders and middle managers, and secondary sources of information.

The top leaders of the Tata companies emphasised the following values and leadership experience: (1) Adherence to the founder's philosophy and the basic core values, (2) Leadership with Trust, (3) Community as the key purpose of the enterprise, (4) Senior leaders as mentors and role-models, (5) Abiding by the ethical code of conduct, (6) Employee-focus and (7) Tacit alignment with Indian cultural values. These resonated with the humanistic leadership tenets. Based on the literature the authors also identified that in Tata leadership, there is an amalgamation of personal values (humata, hukhta, hvarshta: good thought, word and deed) and national cultural ethos (dharma, karma and jnana: emphasis on duty-bound action and knowledge). These leadership values are conveyed and institutionalised in the organisation via strategic initiatives such as the Tata Trusts, Tata Business Excellence Model, Tata Code of Conduct. This synergy of personal values, national cultural ethos and organisational strategy makes Tata group realise the humanistic leadership objectives, while achieving business targets.

The thematic analysis of interview data provides a contextualised understanding of how humanistic leadership gets realised at both the individual behavioural level, as well as at the broader organisational strategic level. This provides inputs to building the theory of humanistic leadership.

By unravelling the factors that facilitate the realisation of humanistic leadership in the Tata group, the authors provide an exemplar for other organisations and business leaders to draw insights from.

Humanistic leadership, oriented towards upliftment of community and society, and not just profit maximisation, is critical to creating a more sustainable and peaceful world.

This is one of first studies that conceptualises the Tata leadership from the humanistic perspective. The theoretical insights are of basic and applied use.

The objective of this paper is to employ a model to expand the literature's comprehension of the organisational citizenship behaviour (OCB) phenomenon in the Indian banking sector. The authors examine OCB as a mediator of the relationship between job embeddedness (JE), self-efficacy (SE) and organisation effectiveness (OE). The authors also verify the moderating role of affective commitment (AC) on the JE, SE and OE relationship.

Data for the purpose of this paper are collected from 568 employees in 89 branches of banks located in North and Central India using a survey questionnaire. The data collected were analysed using structural equation modelling (SEM).

The findings confirm the positive association between JE, SE and OE. The results also suggest that OCB mediates the association between the independent and dependent variables. Furthermore, the authors observed that AC moderates the OCB and OE relationship.

The results of this examination will assist the employees to realise the substance of OCB in directing their performance towards OE. This investigation will inspire bank managers to notice that employee readiness to put in extra effort in a bank is primarily the effect of apt individual characteristics, namely JE and SE, that can be shaped and developed. Furthermore, this study draws the attention of bank managers towards the significance of AC, as an essential phenomenon to emotionally attach the employees to their organisation.

This study contributes to the existing literature on OCB by examining how OCB leads to desired outcomes and the conditions that promote the effect of OCB. The authors address these questions by building on a more contemporary perspective, i.e., PsyCap.

This hypothetical case study aims to revisit the classical model given by Henri Fayol whereby he put forward a set of 14 principles to guide managers in decision-making across organizations. The case study showcases the dilemma in which the top manager of an automobile company finds himself when some of the very basic principles – on which the whole discipline of management is founded – are ignored. It will also serve as an aid for faculty members in B-Schools to teach students the significance of basic management principles postulated many years back which stand relevant even in contemporary times.

This case study is based on a hypothetical scenario in the corporate world. Different incidents in a fictitious automobile manufacturing firm are presented and the corresponding principles given by Henri Fayol are inferred.

This case study highlights that decision-making gets complicated if fundamental principles of management are not complied with. The decision taken during each and every situation which has been discussed in this case study is contrary to the correct course of action as propounded by Fayol. Modern-day managers must acknowledge the relevance and importance of these principles for achieving success in business.

This case study underscores that even in this volatile business environment where most of the management practices are technology-driven, we cannot disregard the most elementary rules of management. The managers working at different levels in the organizational hierarchy may be guided to make the right decisions in situations similar to the ones described.

The study aims explore the prevalence of lonliness among married adults in India along with examining its association with marital quality and age.

A total of 1,084 married adults across four age-groups were included in the sample of the study. Semi-structured questionnaire for demographic details with validated psychometric instruments like Marital Quality Scale (MQS) (Shah, 1995) and UCLA Loneliness Scale (version 3) (Russell, 1996) were used to collect the data. The data was analysed using multiple regression, cross-tabulation, chi-square(χ²) and Pearson correlation.

The study found that 46.4 % of the sample experienced moderately high level of loneliness. The participants in the age group of 31–40 years felt the maximum loneliness. 56.18 % participants of the sample experienced a severely affected marital quality. Strong and significant correlation was observed between marital quality and loneliness (r = 0.526). Negligible correlation was observed between age with loneliness (p > 0.05).

The study suggests the urgent need for interventions to enhance marital quality and should focus more on interpersonal factors such as communication style, conflict resolution, support from the spouse, increasing empathy, sexual satisfaction and intimacy rather than focusing only on demographic variables.

The study will facilitate a better understanding of the pressing need to improve marital quality of Indian adults. Emphasizing on improving communication and intimacy in the marriage will improve overall well-being thereby also reducing loneliness.

To the best of the authors’ knowledge, this study is a first of its kind to explore the interrelationship between marital quality and loneliness among such a large sample in India. It also adds to the literature in understanding the dynamics of marital relationship.

The retail industry is undergoing a significant digital revolution. Emerging technologies are changing the way shoppers interact with companies and shops, causing a significant upheaval in the business. The primary purpose of the research is to recognise the concept of retail along with its service applications and novel technologies that will drive the future around the world. Retailers must keep up with the latest technological advancements to remain competitive as the supply chain grows more intricate and consumers become more astute, tech-savvy, and gadget-literate about using multiple channels. The analysis indicates technologies including artificial intelligence (AI), smart labelling, beacons, augmented reality (AR), virtual reality (VR), drone deliveries, and Internet of Things (IoT) have emerged as future trends. It has been found that retailers need to have strong digital relationships to engage and interact with consumers as well as to mould and influence experiences. They can create connections to assist customers in making decisions that are beneficial to them. India’s retail industry is well-positioned to prosper in the dynamic market environment by adopting innovation and transformation and also centred on omnichannel tactics, which offer customers a seamless experience by giving them a comprehensive, single glance at each retail business from the comfort of their home or place of business. The application of literary works to explain the notion of Industry 4.0 in the retail sector while recognising and comprehending pertinent technological developments. This chapter establishes the groundwork for upcoming research on technologies that will eventually be utilised in retail management.

The literature provides evidence of consumers’ willingness to purchase (WTP) refurbished products. However, the studies focusing on young consumers’ (18–24 years) purchasing behaviour of refurbished products from online platforms/stores are limited. Therefore, the purpose of this study is to conduct a qualitative study to identify the key attributes/factors that influence young consumers’ WTP refurbished products.

Two qualitative techniques, focus group discussion (FGD) and depth interviews (DI), are used for data collection. Criterion sampling is used for sample selection. Consequently, 37 participants (20 for FGD and 17 for DI) from India were recruited.

The study’s findings indicate six broad attributes/factors (purchase attributes, product attributes, credibility, reviews/support, refurbishment process and ecological factors) that influence young consumers’ WTP refurbished products. In each attribute, some characteristics are unique (for example, greater trust in online platforms/stores, preference for video reviews and historical information of the product) to young consumers.

The current study integrates three literature streams: consumer behaviour in the online/offline context, young consumers’ inclination towards an online purchase and WTP refurbished products. To the best of the authors’ knowledge, this is the first study to do it.

The study aims to analyse the challenges faced by the Indian Handloom Sector with a special focus on the state of Uttar Pradesh before and during the COVID-19 pandemic. This study further explores the benefits of AatmaNirbhar Bharat Abhiyan for the betterment of the livelihood of the COVID-19–hit handloom weavers and allied workers.

A total of 400 handloom weavers and allied workers from ten cities of Uttar Pradesh were contacted through telephone. Descriptive statistics were applied to measure the awareness about the government welfare schemes and the benefits of these schemes. Furthermore, satisfaction and opinion of the handloom weavers and allied workers regarding the benefits and sufficiency of the funds received under these schemes have also been measured.

Based on the results, the least awareness has been noted about government welfare schemes. However, a small number of weavers and allied workers were found beneficiaries of the schemes. Additionally, the majority of the respondents were found dissatisfied with the benefits. The COVID-19 pandemic is an addendum to the plight of handloom weavers and allied workers. The measures of AatmaNirbhar Bharat Abhiyan could be used to aid weavers and allied workers to restore their lost revenue.

This study has limitations. Firstly, the research is limited to the handloom industry of Uttar Pradesh. Future researchers could consider the handloom sector of other states like Maharashtra and Andhra Pradesh, known for hand-woven clothes. Secondly, this study aims to analyse the role of AatmaNirbhar Bharat Abhiyan in improving the living conditions of handloom weavers and allied workers and not to measure the impact of the Abhiyan on handloom weavers or the handloom sector. Researchers could measure the impact in future studies. Thirdly, the authors have not applied any behavioural theory or marketing models such as the Theory of Reasoned Action or the Blackwell model, which may be applied to study the attitude of handloom weavers towards welfare schemes. This may prove to be a potential direction for future research. Additionally, master weavers and handloom cooperatives societies were excluded while collecting the data. Future researchers could consider them to examine the role of the government’s welfare schemes for uplifting the socio-economic condition of the handloom weavers, allied workers, master weavers and the business of cooperative societies. Finally, due to lockdown and travel ban, the authors were forced to limit their survey to telephone only because of which they could not get the qualitative information in full. Researchers for future studies could visit the handloom concentrated areas personally or take the help of an enumerator for data collection.

The research holds significance for the young and competent designers, handloom weavers and allied workers. Designers could work with and hire handloom weavers of Uttar Pradesh. If designers and weavers work together, it will help them restore their business and generate revenue that they have lost due to the COVID-19 pandemic. Furthermore, policymakers can collaborate with designers, which will help enhance the socio-economic condition of handloom weavers and allied workers, which has deteriorated due to the COVID-19 crisis.

The research holds significance from the point of view of exploring the challenges faced by handloom weavers and allied workers of the state of UP before and during the COVID-19 period while examining the role of AatmaNirbhar Bharat Abhiyan in setting off these challenges.

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.

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.

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.

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.