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Mass customization is a production process that allows consumers to customize products from an array of options to suit their preferences and needs and benefit from large-scale production efficiencies. In recent years, several apparel retailers have integrated customization into their online presence. While the benefits of online apparel mass customization (OAMC) are apparent, factors that determine the usage of the process are many. Therefore, it is important to explore these factors and understand the relationships between them and the impact on the intention to use OAMC.

A review of studies published in the last decade was conducted through the Scopus, Web of Science and JSTOR databases in September 2023. Peer-reviewed research articles published in the English language were included. These studies were carried out in the United States of America, Canada, Korea and China and addressed motivations and antecedents of OAMC technology.

The data were extracted, and the findings were synthesized. The review process enabled us to examine several theories and determinants of OAMC. The latter were categorized into the following themes: “consumer personality and psychology”, “consumer perceptions”, “consumer behaviour determinants” and “process, experience and product”. The influence of consumer personality traits, psychogenic needs, characteristics and other facilitating conditions emerged through the review.

The purpose of this paper is to study the various determinants of OAMC and thereby provide valuable information to businesses in OAMC domains to improve customized processes, understand consumers' motivations and develop marketing strategies that improve overall satisfaction with OAMC.

The purpose of this study was to assess tuberculosis (TB) treatment outcomes among new smear-positive pulmonary tuberculosis (PTB) patients and identify the risk factors of unsuccessful treatment outcomes in Kepong district, Kuala Lumpur, Malaysia.

A retrospective cohort study was conducted using registry-based data from the Tuberculosis Information System (TBIS) between 2014 and 2018. Simple random sampling was used to select 734 males and 380 females from the TBIS registry. Smear-positive PTB patient's sociodemographic, clinical and behavioral characteristics were extracted and analyzed. Logistic regression was used to find the possible independent risk factors for unsuccessful treatment outcomes.

The treatment success rate was 77.20% (n = 860) which was still below the target set by the WHO (>90%). In total, 254 patients showed an unsuccessful treatment outcome: 106 died, 99 defaulted, 47 not evaluated and 2 showed treatment failure. Unsuccessful treatment outcome was significantly associated with older age, male gender, non-citizen, unemployment and being HIV positive.

The study focuses on all these contributing factors of unsuccessful treatment outcome for a better risk assessment and stratification of TB patients and identify effective surveillance and management strategies to strengthen the control programs of tuberculosis in Kepong district.

The purpose of this paper is to investigate the efficacy of bacterial exopolysaccharides (Eps) in reactive black 5 (RB5) textile dye wastewater bioremediation.

The Eps were produced by bacteria isolated from cotton gin trash soils collected from different cotton-growing regions in Kenya for comparison purposes. A broth medium reconstituted using molasses was assessed for its capacity to produce the Eps. RB5 textile dye wastewater was optimized for dye removal under different temperatures, times and molasses concentrations. Dye removal was studied by Lovibond-Day Light Comparator, UV–Vis spectrophotometer and FTIR.

It was found that cotton gin trash soils contained Eps-producing bacteria. Three of the Eps studied were found to have the capacity to remove at least 80% of the dye from the wastewater.

This research did not assess the efficacy of the RB5 dye removal from the wastewater by mixtures of the Eps.

Bioremediation of textile dye wastewater with Eps produced by bacteria cultured from cotton gin trash soil is significant because it will offer an effective and cleaner alternative to the chemical coagulants.

Alternative treatment of textile wastewater with the Eps would result in safer water being released into the water bodies as opposed to the chemically treated wastewater that contains remnant chemicals.

Research on the use of Eps produced by bacteria isolated from cotton gin trash soils for removal of RB5 dye from textile wastewater has not been done before.

This paper aims to review comprehensively the different voltage-boosting techniques and classifies according to their voltage gain, stress on the semiconductor devices, count of the total components and their prominent features. Hence, the focus is on non-isolated step-up converters. The converters categorized are analyzed according to their category with graphical representation.

Many converters have been reported in recent years in the literature to meet our power requirements from mill watts to megawatts. Fast growth in the generation of renewable energy in the past few years has promoted the selection of suitable converters that directly impact the behaviour of renewable energy systems. Step-up converters are a fast-emerging switching power converter in various power supply units. Researchers are more attracted to the derivation of novel topology with a high voltage gain, low voltage and current stress, high efficiency, low cost, etc.

A comparative study is done on critical metrics such as voltage gain, switch voltage stress and component count. Besides, the converters are also summarized based on their advantages and disadvantages. Furthermore, the areas that need to be explored in this field are identified and presented.

Types of analysis usually performed in dc converter and their needs with the areas need to be focused are not yet completely reviewed in most of the articles. This paper gives an eyesight on these topics. This paper will guide the researchers to derive and suggest a suitable topology for the chosen application. Moreover, it can be used as a handbook for studying the various topologies with their shortfalls, which will provide a way for researchers to focus.

The study aims to co-create a “priority action roadmap for women's economic empowerment” based on women's top priorities to charting recovery directions. Doing so contributes to the growing body of knowledge on COVID-19 literature in at least four areas: assessing COVID-19 impacts on women entrepreneurs; mapping these impacts with four interdependent women's entrepreneurial ecosystem components; innovating a co-creation methodology based on remote participatory research; and providing a replicable model to perform action-oriented research in the context of COVID-19 impacts.

A co-creation methodology is proposed, combining systems-thinking and remote participatory research to engage women entrepreneurs and institutional stakeholders to prioritize impact, response actions and recovery needs in the wake of COVID-19. A ranking exercise using the analytic hierarchy process was used to derive ranking and assess user inputs' consistency.

The study exemplifies the integration of participatory methods and mathematical tool to engage stakeholders in prioritizing recovery work. PARWEE action items ranked by entrepreneurs and vetted by institutional stakeholders cover: access to finances, capacity building, health care, public and private partnership, marketing opportunities and formation of active advocacy groups to voice out women entrepreneurs' needs to institutional stakeholders. Results show a slight difference in the ranking of priority actions between experience owners and fresh starters.

This study innovated a new co-creation methodology for remotely engaging stakeholders of the women's entrepreneurial ecosystem, which is grounded in evidence and provides a replicable model for performing action-oriented research.

The purpose of the study is to understand what impact the first COVID-19 lockdown in 2020 had on the income and food security of rural households in India and whether it differed across socioeconomic factors. Moreover, the study assesses the needs of rural households and determines whether they had received adequate support services during the lockdown.

The study adopted a repeated-measures quantitative survey design with 1,319 rural women from 16 states of India and conducted a telephonic survey.

The lockdown had directly impacted rural households' employment status and income but the impact differed depending on the type of employment. For example, working in a salaried job or on one's farm led to a lower likelihood of a complete decline in income in states other than Kerala as the lockdown continued. The study also revealed a change in the pattern of food consumption, with higher consumption of subsidized staple foods. It also became evident that the aid announced by the government reached the rural population with some delay.

A limitation of the study was that many respondents refused to participate in phase 2, which reduced the sample size when comparing the two phases because the women did not own mobile phones. Instead, they were using their husbands' phones.

The study's findings can help better understand the needs of rural populations during crises, such as the COVID-19 pandemic. This can help to plan better and build preventive actions for such populations once their needs are understood. In addition, this can aid disadvantaged people for a minimal level of preparedness and security during such a crisis in the future.

This article focuses on research carried out on gender discrimination and biasness in the workplace in order to understand how gender discrimination can have far reaching consequences on the careers of working women. It looks at five aspects of this issue, namely workplace harassment, hiring, maternity leave, women in leadership roles, and the experience of marginalised women. Although a global issue, this article looks at gender discrimination from Indian Context.

This article is descriptive in nature, that studied the arguments of other researchers and elaborated understanding from those articles considering gender discrimination and gender bias at the workplace.

It was found that despite an intense and growing call for gender equality at the workplace, to provide its female workforce with adequate freedom to work and protection from conservative opinions and biases that keep women out of the workforce. Several women have taken over top positions in companies; regardless, a lot more work remains to be done. Bringing in legislative changes is of utmost importance, as it will ensure that women have legal routes to protect their rights. There also needs to be more research undertaken in the field of gender discrimination to understand how structural changes can be established in companies.

The current study is unique, every industry faces this challenge, which is considered one of the critical challenges. Practitioners, experts, strategists, also fall into the game of gender discrimination and biasness.

The study assesses impact of individual cultural values on investment choices (aggressive or conservative), of 450 investors with behavioural biases and risk propensity in serial as mediators in the relationship.

The study used serial mediation analysis using Hayes model 6 for creating six models.

Findings of the study indicated that individualism traits are inclined to aggressive investment choices due to presence of overconfidence biases. Uncertainty avoidance and longtermism traits of investors resulted in aggressive investment choices due to presence of herd mentality bias. The moderating impact of past investing experiences was found significant.

The study indicates the importance of cultural values and past investing experiences of investors that may develop biases to assess investment choices and decisions of investors.

Visco‐elastic fluid flow and heat transfer in a porous medium over a non‐isothermal stretching sheet have been investigated. The flow is influenced by linearly stretching the sheet in the presence of suction, blowing and impermeability of the wall. Thermal conductivity is considered to vary linearly with temperature. The intricate non‐linear problem has been solved numerically by shooting technique with fourth order Runge‐Kutta algorithm after using perturbation method. The zeroth order solutions are obtained analytically in the form of Kummer’s function. An analysis has been carried out for two different cases, namely prescribed surface temperature (PST) and prescribed heat flux (PHF) to get the effect of porosity and visco‐elasticity at various physical situations. The important finding is that the effect of visco‐elasticity and porosity is to increase the wall temperature in case of blowing and to decrease in both the cases of suction and when the stretching sheet is impermeable.

Presents a numerical solution of the two‐dimensional laminar boundary layer problem on free and forced convection of an incompressible visco‐elastic fluid immersed in a porous medium over a stretching sheet. Here, the driving force for the flow is provided by an impermeable sheet stretched with a velocity proportional to the distance from a slit and buoyancy effects due to both temperature and concentration gradients. The resultant governing boundary layer equations are highly non‐linear and coupled form of partial differential equations, and they have been solved by employing a numerical shooting technique with fourth order Runge‐Kutta integration scheme. Numerical computations are carried out for the non‐dimensional physical parameters. The results are analyzed for the effect of different physical parameters like visco‐elasticity, permeability of the porous medium, Grashof number, Schmidt number and Prandtl number on the flow, heat and mass transfer characteristics. One of the several important observations is that the combined effect of thermal diffusion and diffusion of species is to increase the horizontal velocity profile and to decrease the temperature and concentration profiles in the boundary layer flow field.