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Dyeing and printing are important steps in textile manufacturing. After the process completion, these dyes are released in the effluent. These dyes impart an unacceptable appearance but are also toxic to the soil and water bodies. The present research has been carried out to study the rate of photocatalytic degradation of an azo dye, namely, CI Direct Green 26, using titania nanoparticles under ultra violet (UV) irradiation as a function of temperature and time. Azo dyes account for the majority of all dyestuffs are produced and extensively used in the textile, paper, food, leather, cosmetics and pharmaceutical industries. Titania nanoparticles have been found to successfully degrade these dyes in the presence of UV light. The purpose of the present paper was to study the photodegradation of azo dyes using titania nanoparticles at different temperatures and time periods.

Titania nanoparticle concentration of 0.1% (w/v) was dispersed in distilled water by sonication for 1 h in sonication bath. The of rate of degradation of Direct Green 26 dye in the titania nanoparticle dispersion, under UV-A exposure was studied at different temperatures ranging from 25°C to 65 °C for time periods ranging from 1 h to 6 h. Photocatalytic degradation tests were performed in a specially designed UV reactor chamber. Raman spectroscopy of Titania nanoparticles, dye and titania/dye mixture before and after UV exposure was carried out using Confocal Laser Dispersion Raman Microscope (Renishaw, UK) with 785 nm excitation laser.

Titanium dioxide is an efficient photocatalyst for decolourisation of direct dye. The photodegradation of the direct Green dye was found to follow the pseudo first-order reaction. The Arrhenius activation energy was found to be 24.8 kJ/mol with A value of 0.0013 for the photocatalytic degradation of the dye. Raman spectroscopy also confirmed the adsorption of dye on titania nanoparticle and its complete degradation on exposure to UV light.

This research highlights the application of titania nanoparticles for the effective degradation of dye in the effluent from textiles, clothing, paper and any kind of dyeing process. Azo dyes account for the majority of all dyestuffs are produced and extensively used in the textile, paper, food, leather, cosmetics and pharmaceutical industries. Titania nanoparticles have been found to successfully degrade these dyes in the presence of UV light which can be very beneficial for the effluent treatment plants in textile and other industries.

Azo dyes are one of the harmful pollutants released in textile waste water. The degradation and removal of the coloured waste in the textile effluent is an important environmental concern and needs to be investigated. The research is one of the first to investigate and understand the mechanism of the degradation of an azo dye in the presence of titania nanoparticles by Raman spectroscopy.

Efficacy of selected commercially available fluorocarbon-based finish agents, such as Oleophobol (Huntsman) Fluoroguard SX and Fluoroguard VOX (Britacel Silicones) Nuva HPU (Clariant) TG-581 (Resil) Aquaphobe-SNT (Akkshata), on cotton and polyester fabrics was studied with respect to water and oil repellency. All the finish agents exhibited excellent water- and oil-repellent properties on both kinds of fabrics. The contact angle of water on the finished cotton and polyester fabrics was found to be ≥ 140° Nuva HPU and Oleophobol gave cotton very good protection against rain. Except Aquaphobe SNT, all other finishes imparted excellent oil-repellent property to cotton. In the case of polyester, maximum oil repellency was achieved with Aquaphobe SNT and Fluorogard SX. The finished polyester fabric showed minimal absorption and better resistance to penetration of water as compared to cotton when subject to the Bundesmann water repellency test. There was a slight yellowing of the cotton fabric after the application of Oleophobol finish. There was no effect on the strength of the fabrics. The effect of these finishes on the crease recovery angle and the bending length of cotton was not significant, However, the polyester fabric became slightly stiffer after the application of the finishes. The crease recovery angle of polyester also increased after the application of these finishes. The finished fabrics showed good water repellency up to 15 washes. Oil repellency showed deterioration after only 5 washes and was partially retained up to 15 washes. Both water and oil repellency became negligible after 30 washes.

As the areas of fashion marketing are transforming, fashion show research needs to be recognised, to understand its prevalence, changing form and influence on the consumer behaviour. The paper studied the promotion strategies for the brand and products of fashion designers in Bahrain, in particular the fashion shows, its digital versions, and the factors influencing their choice. The study was conducted using the qualitative method and the detailed semi-structured qualitative interview method was employed and sample of designers and a prominent modeling agency were selected by purposive sampling technique. In-depth interviews with designers were structured to understand the fashion industry, participation in fashion shows and preference of mode of fashion show. Interviews were conducted with the modeling agency, to understand the prevalence of fashion shows, and the execution and demand of organising fashion shows. The data gathered were supported by the relevant secondary data and document analysis and presented. In the study both the forms of the fashion show viz., live and digital are discussed and compared. The digital fashion show and similar forms as short films, videos, on social media seem to be more promising, with minimum requirement of set design, wider reach, economic, ease of execution. The research suggests that physical and digital fashion shows have their advantages and disadvantages, with the choice ultimately based on the brand's goals and resources. As technology advances and the fashion industry changes, digital fashion shows are likely to play an increasingly important role in the future.

Blogs are websites that contain posts about a wide range of topics, often written by fashion enthusiasts referred to as bloggers. With the increasing prevalence and popularity of digital media and social media, fashion bloggers help to attract business and influence and engage various stakeholders, especially customers. The present exploratory study provided valuable insights regarding fashion consumption, preference, and buying behavior of young women consumers of metropolitan cities of India like Delhi, Hyderabad, Bangalore, Pune, and Mumbai. The study was conducted under the domain of exploratory study. Snowball and Purposive random sampling techniques were employed to identify and reach respondents of both categories – women consumers and bloggers. A conscious attempt was made to include women from different demographics such as age, marital status, income, area of residence, employment status, etc. Primary data were collected with the help of questionnaires. The findings of the research revealed bloggers through their blogs are the new trendsetters and influence fashion adoption, especially by the young social media savvy consumers. Their blogs impact public perceptions of fashion and sometimes are precursors of new fashion trends. The findings of the study interestingly brought forth the fact that millennial women buying decision is significantly influenced by fashion blogs for the purchase of clothing and accessories. The findings also clearly indicated that blogs significantly influenced respondents’ attitude toward the purchase of branded merchandise. Fashion bloggers besides providing information and inspiration to the blog readers, also at times assist and/or give consultation to their followers.

The learning outcomes are as follows: to understand and examine the strategies that help platforms fight competition and manage networks; to analyse the role of platform governance in the management of the networks and partners’ trust; and to evaluate the strategic risks of disintermediation and multi-homing firms face while trying to sustain profits and capture value.

The case presents the dilemma faced by Deepinder Goyal, the young founder and CEO of Zomato in formulating the growth strategy for its food delivery platform, struggling to retain its market leadership position amid intensifying competition and other challenges during the COVID-19 pandemic. Zomato has become a public company with an IPO announced in mid of July 2021. Therefore, there is growing expectation for profitability among its shareholders and investors considering tailwinds of COVID-19 crisis, which have given the push towards adoption of food delivery among the customers. This has also resulted in increased competition in the industry. On other hand, there is growing dissatisfaction among its restaurant partners who have been hit hard by COVID-19 and struggling for survival. CEO Deepinder has to find how he will ensure the long-term growth for Zomato to tap the growing food delivery market in India and regain its restaurant partner’s trust.

The case is intended for post-graduate courses (MBA, PGDM) on digital business strategy or strategic management of technology-oriented businesses. The case can be used to understand the nature of competition and different strategies for platform-based businesses in the digital world. The case can also be used to study the role governance can play in efficient value creation and capture on the platform by the partner entities. Finally, the case also highlights how are platform businesses are coping with the Covid challenge. There are no specific prerequisites but knowledge on basic strategy concepts and platform business concepts will be good for better understanding. Level of difficulty is medium.

Teaching notes are available for educators only.

CSS 11: Strategy.

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.

This study aims to understand the expectations of elderly bank customers with mobile banking services and to measure its impact on their long-term satisfaction and continued intention. The study is based on two theories, expectations-confirmation theory (ECT) and hedonic adaptation theory.

A self-administered longitudinal survey was completed with a sample of 208 elder customers who do not use mobile banking services. Latent growth curve modelling approach was used to determine the change in their post-adoption experience over four time points.

Results of the study confirm that the use of mobile banking services prolongs the duration of customer satisfaction and continued intention level, post-adoption, reinforcing the hedonic adaptation theory.

Mobile banking services are going to be a significant component of the multichannel banking agenda. But it might be interesting to review other digital channels of banking services. The key contribution of this study is that it measures the expectation-confirmation link of elderly customers with mobile banking services. The study sheds light on factors that positively influence customer inclination and adoption of multichannel banking services in the long run, which is important for the commercial success of such channels.

The study highlights the importance of elder customers' pre-expectations, related dimensions which are important for post-adoption experiences of mobile banking services to improve customers' satisfaction and continued intention in the long run. This is crucial for the commercial success of banks.

This is the first such study that used the expectation confirmation model (ECT) and related it with hedonic adaptation theory to assess elderly customer's post-adoption satisfaction and continued usage of mobile banking services over time.

The purpose of this research is to examine the impact of crowdsourcing-based social connections on the development of innovation competence (IC). The conflicting results in existing studies regarding the influence of crowdsourcing-based social linkage on IC necessitate a thorough investigation into this relationship.

The research uses a sample of 300 senior managers from various industries in India. The data is analyzed using partial least squares (PLS), a component-based approach to structural equation modeling.

The results of the analysis indicate that knowledge transfer effectiveness and absorptive capacity (ABC) play a significant role as mediators in the relationship between social linkages based on crowdsourcing and IC. This suggests that the effectiveness of knowledge transfer and the organization’s ability to absorb and apply new knowledge are crucial factors in leveraging crowdsourcing-based social connections for enhanced innovation capabilities.

The findings of this study hold crucial implications for managerial practices. The research highlights that successful crowdsourcing outcomes necessitate more than mere establishment of external social linkages. Managers must recognize that internal organizational readiness plays an equally critical role. This study offers two key managerial insights: first, exclusive focus on external linkages is inadequate; internal capabilities such as ABC and optimized knowledge transfer processes must be actively nurtured. Second, the concept of “crowdsourcing maturity” is introduced, emphasizing the evolving dynamic capabilities over time. Managers are urged to adopt a balanced approach, aligning external partnerships with internal adaptability, to fully optimize IC.

This research contributes to the existing body of knowledge by shedding light on the mediating variables that influence the conversion of crowdsourcing-based social linkage into improved IC. By considering the role of knowledge transfer effectiveness and ABC, the study provides insights into the mechanisms through which social linkages based on crowdsourcing can impact innovation capabilities. These findings offer valuable implications for organizations seeking to leverage crowdsourcing for innovation purposes and enhance their overall IC.

Post partum depression (PPD) is an important complication of child-bearing. It requires urgent interventions as it can have long-term adverse consequences if ignored, for both mother and child. If PPD has to be prevented by a public health intervention, the recognition and timely identification of its risk factors is must. We in this review have tried to synthesize the results of Asian studies examining the risk factors of PPD. Some risk factors, which are unique to Asian culture, have also been identified and discussed. We emphasize on early identification of these risk factors as most of these are modifiable and this can have significant implications in prevention of emergence of post partum depression, a serious health issue of Asian women.