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There is a recent organizational focus on increasing and managing gender diversity with stress on supportive policies for working mothers. The purpose of this paper is to examine the effect of one such supportive policy (i.e. completion of company-initiated internship programs) designed to help women return to the workforce post a career break.

The study uses an experimental design to compare the evaluation of a woman applicant who has a career break with the evaluation of a woman applicant who has completed a support program after a career break. Variance in the evaluation of the applicant on the parameters – educational qualification, professional qualification, fit with job description and invite for an interview is tested. The study also examines the effect of individuals’ neosexist attitude on their evaluation of the applicant. Data were collected from 109 participants having an average age of thirty-two years (SD = 5.97), and average work experience of 9 years (SD = 5.20).

Results show that completion of a support program, as well as neosexism, have a main effect on the evaluation of job fit.

Results have implications for employee-training programs, as well as development programs for women re-entering the workforce post a career break.

This paper is the first to study the efficacy of internship programs for re-entry of women, started by various multi-national companies in India. It extends the application of neosexism to such initiatives, which are not affirmative action, highlighting the changing nature of sexism.

The study explores career shocks in the Indian context and examines their impact on the career development of people with MBAs.

In-depth, semi-structured interviews with 41 Indian MBA graduates were thematically analysed to identify career shocks that resulted in different types of transitions. Eight themes were identified based on ongoing and iterative comparison of these instances.

Outcomes relating to competitive examinations that determined entry into various occupations were the first career shock experienced by participants. Geographical considerations were salient in the deliberations involving events relating to marriage, eldercare and spouse relocation. Events at the workplace that signalled uncertainty, a fall-out with one's boss or a request to relocate, prompted participants to switch employers. Some of the observed differences were gender based. While female MBA graduates adapted to handle both spousal and parental responsibilities, male MBA graduates did the same to shoulder eldercare responsibilities.

The study's retrospective design could have led to concerns regarding memory recall. The use of open-ended questions partially mitigated this, by giving participants the freedom to recount their experiences, to the extent that they could remember.

Organisations in India could customise and strengthen policies to support employees who have maternity and eldercare responsibilities. Managers should make greater efforts to have open communication with their subordinates to overcome the challenges of operating in a culture with high power distance and indirect communication styles.

This study explored different types of career shocks and associated transitions. The Indian context, with its growing economy, large population, collectivistic culture and strong influence of family on careers, enabled a deeper examination of novel career shocks. The study also highlighted the dissimilar impact of career shocks for men and women and people at different career stages.

Cummins Generator Technologies India Limited (CGTIL) was in the process of setting up a world-class factory at Ranjangaon based on “lean” production principles. The project team, however, went a step ahead and married “green” with “lean”. While lean is about taking the system inefficiencies out, the green is about harmony with nature. The case is about CGTIL's journey of deriving synergies between seemingly conflicting objectives of lean and green.

Environmental sustainability is quickly becoming one of the most critical issues in industry development. This study aims to conduct a systematic literature review through which the author can provide various research areas to work on for future researchers and provide insight into Industry 4.0 and environmental sustainability.

This study accomplishes this by performing a backward analysis using text mining on the Scopus database. Latent semantic analysis (LSA) was used to analyze the corpus of 4,364 articles published between 2013 and 2023. The authors generated ten clusters using keywords in the industrial revolution and environmental sustainability domain, highlighting ten research avenues for further exploration.

In this study, three research questions discuss the role of environmental sustainability with Industry 4.0. The author predicted ten clusters treated as recent trends on which more insight is required from future researchers. The authors provided year-wise analysis, top authors, top countries, top sources and network analysis related to the topic. Finally, the study provided industrialization’s effect on environmental sustainability and the future aspect of automation.

The reliability of the current study may be compromised, notwithstanding the size of the sample used. Poor retrieval of the literature corpus can be attributed to the limitations imposed by the search words, synonyms, string construction and variety of search engines used, as well as to the accurate exclusion of results for which the search string is insufficient.

This research is the first-ever study in which a natural language processing technique is implemented to predict future research areas based on the keywords–document relationship.

The purpose of this paper is to understand the culpability of independent directors (IDs) in a public listed company under clause 49 of the listing agreement of the Securities Exchange Board of India, which, primarily, is the corporate governance mandate in India.

This paper has been developed on the basis of intensive interviews conducted with 16 legal experts working with 50 top listed companies and seven advocates from the Delhi High Court and the Supreme Court of India, literature survey from research papers, bare acts and policy guidelines on corporate governance by the Government of India.

Two contrary opinions are being rendered on the culpability of IDs. The first proposes a strict and absolute penalty on all directors which would deter them from colluding with promoters. The second proposes that IDs should not be tarred with the same brush unless conclusive evidence of collusion is produced. These contrary opinions are herein analyzed and recommendations put forward.

The research paper attempts to study only the culpability of IDs. It envisages the appointments of IDs onto boards without deliberation on the issue assuming that these appointments are made in good faith and trust.

The research paper attempts to study whether the IDs who are non‐executive directors and who do not have a pecuniary relationship with the company actually share a fiduciary relationship with the shareholders and observe the principle of conflict of interest. There are some compelling reasons for them to alienate liabilities given the dramatic effects of financial disarray as in the case of Satyam.

During a press conference at the Imperial Hotel in Delhi on 13 March 2001, the Internet news site, Tehelka.com, showed secret video footage of senior politicians, bureaucrats, and army officers accepting money in a fake defense deal. Two journalists from Tehelka, Anirudha Bahal and Mathew Samuel, posed as arms dealers from a fictitious arms company called West End International to sell nonexistent handheld thermal cameras to senior officials of the Ministry of Defense (MOD) in India. Bahal and Samuel paid bribes to politicians, civil servants, and army officers to procure government contracts. The journalists used three hidden cameras to videotape the corrupt politicians and officials accepting the bribes, with the most dramatic video clip showing the Bharatiya Janata Party (BJP) President, Bangaru Laxman, accepting a wad of currency notes from them. Laxman later claimed that he was not guilty of wrongdoing for accepting Rs. 100,000 (US$2,170) as a donation for the BJP. Describing the episode as “concocted,” he added that he had given the donation to the BJP's treasurer (BBC News, 2001a).

Mobile computing research has been focused on developing technologies for handheld devices such as mobile phones, notebook computers, and mobile IP. Today, emphasis is increasing on context‐aware computing, which aims to build the intelligence into mobile devices to sense and respond to the user's context. The purpose of this paper is to present a context‐aware mobile computing model (ContextAlert) that senses the user's context and intelligently configures the mobile phone alert mode accordingly.

The paper proposes a three‐step approach in designing the model based on the embedded sensor data (accelerometer, GPS antenna, and microphone) of a G1 Adriod phone. As adaptivity is essential for context‐aware computing, within this model a new learning mechanism is presented to maintain a constant adaptivity rate for new learning while keeping the catastrophic forgetting problem minimal.

The model has been evaluated in many aspects using data collected from human subjects. The experiment results show that the proposed model performs well and yields a promising result.

This paper is distinguished from other previous papers by: first, using multiple sensors embeded in the mobile phone, which is more realistic for detecting the user's context than having various sensors attached to different parts of user's body; second, by being a novel model that uses sensed contextual information to provide a service that better synchronizes the user's daily life with a context‐aware alert mode. With this service, the user can avoid the problems such as forgetting to switch to vibrate mode while in a meeting or a movie theater, and taking the risk of picking up a phone call while driving, and third, being an adaptive learning algorithm that maintains a constant adaptivity rate for new learning while keeping the catastrophic forgetting problem minimal.

This research focuses on suggesting an optimized model for selecting best employees using advanced multi-criteria decision making method to a supply chain firm, who is planning to start a new cold chain business vertical.

Study has been conducted in a supply chain firm in North India, who wants to expand its business with the help of efficient team members. In total 38 applicants were considered for the study, as selected by the firm after initial screening from pool of talent. AHP-LP and TOPSIS-LP integrated approach were applied separately for evaluation and implementation of personnel selection model. Further, both the approaches were compared to find the best fit and optimized model.

As per the findings, both AHP and TOPSIS can be used to select the best candidate among the alternatives available. TOPSIS was found easier to implement as it involves ranking of applicants with respect to each skills required for respective job profile only once, whereas AHP involves pair-wise comparison among candidates with respect to each skills required for respective job profile and normalization of each comparison, resulting in the formation of number of comparison matrices. However, AHP is more reliable as it considers consistency check for each level of pair-wise comparison. Hence, there is a chance to avoid or revise the human judgment error. Integrated ranking and optimization approach minimizes the cost by suggesting the relevant positions to be filed to make an efficient team.

Group of interviewers are involved in the decision-making process, hence there are chances of biasness in ranking method which can influence the group decision. Research is limited to a particular geography of North India therefore needs to be tested for other regions also in order to generalize. The research will help the third party logistics (3PL) and other related firms in efficient team selection.

The researcher focuses on formalizing a method for potential candidate selection by considering the constraints of the organization. It has been observed that limited researches have been done on the application of AHP-LP or TOPSIS-LP integrated approach for selection process. Hence, this research proposes two integrated ranking-optimization method and suggests the best fit by comparing both the approaches.

The purpose of this study is to understand the behavior of hybrid bio-composites under varied applications.

Fabrication methods and material characterization of various hybrid bio-composites are analyzed by studying the tensile, impact, flexural and hardness of the same. The natural fiber is a manufactured group of assembly of big or short bundles of fiber to produce one or more layers of flat sheets. The natural fiber-reinforced composite materials offer a wide range of properties that are suitable for many engineering-related fields like aerospace, automotive areas. The main characteristics of natural fiber composites are durability, low cost, low weight, high specific strength and equally good mechanical properties.

The tensile properties like tensile strength and tensile modulus of flax/hemp/sisal/Coir/Palmyra fiber-reinforced composites are majorly dependent on the chemical treatment and catalyst usage with fiber. The flexural properties of flax/hemp/sisal/coir/Palmyra are greatly dependent on fiber orientation and fiber length. Impact properties of flax/hemp/sisal/coir/Palmyra are depended on the fiber content, composition and orientation of various fibers.

This study is a review of various research work done on the natural fiber bio-composites exhibiting the factors to be considered for specific load conditions.

The role of Technology Transfer Units, examined in this study, was found to be vital to expedite the process of disseminating new varieties and their production technology.

A total of 1,000 households were surveyed in the sampled states. A probit model was used to analyse.

Age, education, land holding, tractor use and number of working family members in agriculture were found to significantly affecting adoption of the new seed varieties. Technology transfer through licensing has impacted the adoption of new seed varieties positively by highlighting Punjab possessing the highest adoption and western Uttar Pradesh was majorly adopting the old variety.

The authors believed in farmers’ memory to recall the varietal information of wheat.

The study recommended various incentives to attract the seed industry in UP to minimize the economic loss potentially suffered by them.

Quality seeds are germane to increase the productivity of crops, and it is paramount to disburse the seed varieties to the end users in an efficient way to achieve the overall objective of productivity enhancement.

In this context, a study was conducted in three states of India, namely, Punjab, Haryana and Uttar Pradesh (UP) to find out the adoption rate of newly developed varieties of wheat, HD 3086 after three years (2014–2015) of its commercialization by IARI as well as HD 2967, which was released in 2011.