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Women entrepreneurs are often categorized and assessed for various outcomes based on their start-up motivations. It is generally assumed that entrepreneurs with opportunity motivation have better performance when compared to necessity entrepreneurs. This study aims to test these suppositions through the lens of the entrepreneur’s motivation to learn (MTL) and level of female entrepreneurial competencies (FECs), namely, business and management, entrepreneurial, human relations (HR) and personal.

Data collected from 344 respondents through a survey questionnaire was analyzed using the structural equation modelling – partial least squares method using SmartPLS 4.

The findings highlight the need of recognizing the differentials between necessity and opportunity entrepreneurs as they were found to influence performance and learning outcomes. Opportunity entrepreneurship was found to significantly impact both MTL and the FECs. The authors also observed that business and management skills along with HR competencies played a greater role in the firm performance.

The findings demonstrate a case for specialized, tailor-made policy approaches rather than the “one size fits all” approach as evident in many government programs. As necessity entrepreneurs form a vital part of the Indian entrepreneurial ecosystem, apart from mentoring, need-based competency development programs may be looked at. Opportunity entrepreneurs may need support and encouragement through advanced skilling and uncomplicated funding options.

To the best of the authors’ knowledge, empirical studies related to women-owned micro, small and medium enterprises in India establishing the relationship between start-up motivation and business performance are scarce. Even in the global context, this is one of the initial studies to examine the relationship through the lens of MTL and competencies.

This paper adopts a modified Taguchi approach to develop empirical relationships to the performance characteristics (output responses) in terms of process variables and demonstrated their validity through comparison of test data. The method suggests a few tests as per the orthogonal array and provides complete information for all combinations of levels and process variables. This method also provides the estimated range of output responses so that the scatter in the repeated tests can be assessed prior to the tests.

In order to obtain defect-free products meeting the required specifications, researchers have conducted extensive experiments using powder bed fusion (PBF) process measuring the performance indicators (namely, relative density, surface roughness and hardness) to specify a set of printing parameters (namely, laser power, scanning speed and hatch spacing). A simple and reliable multi-objective optimization method is considered in this paper for specifying a set of optimal process parameters with SS316 L powder. It was reported that test samples printed even with optimal set of input variables revealed irregular shaped, microscopic porosities and improper melt pool formation.

Finally, based on detailed analysis, it is concluded that it is impossible to express the performance indicators, explicitly in terms of equivalent energy density (E_0ˆ*), which is a combination of multiple sets of selective laser melting (SLM) process parameters, with different performance indicators. Empirical relations for the performance indicators are developed in terms of SLM process parameters. Test data are within/close to the expected range.

Based on extensive analysis of the SS316 L data using modified Taguchi approach, the optimized process parameters are laser power = 298 W, scanning speed = 900 mm/s and hatch distance = 0.075 mm, for which the results of surface roughness = 2.77 Ra, relative density = 99.24%, hardness = 334 Hv and equivalent energy density is 4.062. The estimated data for the same are surface roughness is 3.733 Ra, relative density is 99.926%, hardness is 213.64 Hv and equivalent energy density is 3.677.

Even though equivalent energy density represents the energy input to the process, the findings of this paper conclude that energy density should no longer be considered as a dependent process parameter, as it provides multiple results for the specified energy density. This aspect has been successfully demonstrated in this paper using test data.

The case is written on the basis of published sources only.

Doodlage, a start-up incorporated in 2012 by Kriti Tula, Paras Arora and Vaibhav Kapoor, used discarded waste to create sustainable fashion products. It had a first-mover advantage in recycled fashion goods in the first 10 years of its existence. The company contributed to sustainable fashion by providing an alternative to fast fashion production, creating enormous clothing waste and environmental degradation. In the first quarter of 2022, it saved and reused 15,000 m of fabric waste. From 2018 to 2021, the company grew 150% annually, targeting the right customers and regions to expand its business. It ensured that postproduction industrial waste and postconsumption garments were used to produce clothes. It also confirmed that the waste generated in its fabric screening process was used to create stationery items and other valuable accessories.

However, the sustainable fashion model that gave the company a competitive advantage became obsolete in 2022 due to increasing competition in the industry as various players using unique ideas entered the market. The company is encountering operational and logistical challenges that are affecting its performance. The demand for its products was also subdued due to high prices of upcycled and recycled clothes and less consumer spending post-COVID pandemic. The competitors of Doodlage offered multiple products produced using environmentally friendly farming and manufacturing techniques, attracting sustainable purchasers. What should be the new portfolio of products for the company to explore future growth opportunities? Considering their vast price, can consumers be encouraged to buy upcycled clothes? How should the company ride the winds of change in the industry?

The instructor should initiate the class discussion by asking questions such as how frequently do you shop for clothes? Do you care about the fabric of your apparel? After you discard your clothes, do you think about where these goods finally end up? Data on the amount of total waste generated in the fashion industry should be communicated to students to connect it with the importance of the concept of circular economy. Post this, the instructor should introduce the business model of Doodlage to bring the discussion into the context of the fashion industry before going ahead to discuss the company’s dilemma.

The purpose of this paper is to extend the theoretical understanding of the disclosure dilemma experienced by lesbian, gay and bisexual (LGB) employees. The study focuses on examining the factors related to self-disclosure such as co-worker support and fear of disclosure. Further, the study also aims at testing the impact of coworker support on the psychological well-being of LGB employees.

The study adopts a concurrent triangulation research design, which involves a simultaneous collection of quantitative and qualitative data. Using a survey questionnaire, data from 200 LGB employees were collected. Semi-structured interviews were carried out with 10 LGB employees. The qualitative findings were treated as complementary to the relationship tested through the quantitative method.

Quantitative results reveal that co-worker support positively impacts self-disclosure by LGB employees. And the fear of disclosure mediates the relationship between coworker support and self-disclosure. Further, self-disclosure is positively related to psychological well-being. The qualitative study brings insights from the lived experiences around these factors. This research expands knowledge about the factors associated with the disclosure of LGB employees.

The study examines the factors related to the disclosure of sexual identity and the experiences of the dilemma of LGB employees in the workplace. Most of the studies in the context of LGB have adopted a quantitative research design. The current study adopts a mixed methods approach with a concurrent triangulation research design.