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This research paper explores customer experience (CX) among low-literate customers in organized retail environments. It integrates theories from customer literacy, CX and patronage literature to understand CX comprehensively.

The study gathered data from 470 respondents using mall intercept and snowball sampling. Data analysis employed partial least squares (PLS) modeling.

The results indicate that all the dimensions do not have the same effect on CX. Answering calls for future research, the results establish CX's nomological validity by showing its positive influence on retail reputation, retail quality and satisfaction. However, it does not directly affect patronage but has an indirect influence through retail quality and satisfaction. Also, the authors conclude that retail quality and satisfaction are consequences of CX and not previously conceptualized proxies for it.

Conducting primary research with low-literate customers (LLCs) has its own set of limitations that give rise to further research directions. While acknowledging limitations, the study suggests avenues for future research by surveying LLCs with an objective questionnaire, contributing to limited empirical research in this segment.

The findings highlight the multidimensional nature of CX. In summary, this research paper provides insights into CX dimensions and outcomes for LLCs in organized retail. It contributes to marketing literature, assisting retailers in improving CX and driving patronage across customer segments.

The paper contributes to marketing literature by studying LLCs, testing a comprehensive CX model, confirming antecedents in retail patronage and exploring reciprocal relationships in retailing.

This study aims to investigate the relationship between digital financial inclusion and economic growth in specific Asian countries, emphasizing the exploration of how digital financial inclusion dynamics impact gross domestic per capita income.

The study creates a digital financial inclusion composite index (DFII) by incorporating essential metrics from the Global Findex report. Economic growth is measured using Gross Domestic Product per capita income in its natural logarithmic form (LnPCI), with three control variables– employment-to-population ratio; population growth and inflation. The analysis utilizes a fixed-effect dummy variable model to examine the relationship, considering unobserved country-specific heterogeneity. 30 Asian countries have been selected for the study for the periods 2014, 2017 and 2021 based on their availability, as outlined in Table 4.

The research revealed a robust positive correlation between the Digital Financial Inclusion Index (DFII) and logarithmic GDP per capita income (LnPCI), indicating higher per capita income with enhanced digital financial inclusion. Employment and population exhibited minimal influence, whereas inflation had a notable negative effect on per capita income. Population growth showed a limited impact. The model demonstrated a high explanatory power for the dependent variable (high R-squared), and the residuals displayed low autocorrelation (Durbin–Watson of 1.96).

This study adds to the existing literature by examining the intricate connection between digital financial inclusion (DFI) and economic growth in 30 Asian countries, employing a comprehensive composite index for analysis.

The purpose of this study is to analyze and empirically test the impact of Economic Freedom [(EF) measured by size of the government] and inequality on environmental pollutants in addition to macroeconomic variables like per capita GDP, governance indicators, etc. along with existence of non-linear (Kuznets) postulation between economic growth and per capita emissions.

The paper examines the select Asian nations' data attributes, first qualitatively using correlation data technique, followed by empirical testing using differenced Generalized Methods of Moments (GMM). Using the data of selected Asian countries for the period from 1981 to 2016, the authors have applied a dynamic panel technique.

The key findings that emerge from the study are as follows: first, there is weak evidence for the existence of the Kuznets curve based on the empirical results; second, the results indicate that increased EF (by lower government size) could enable to contain carbon emissions; third, there is a negative relationship between democracy and environmental quality (corroborating to the existing studies on carbon emissions); and fourth, there is a strong statistical evidence that increasing income inequality pairs with greater emissions in the middle range of Gini.

The paper conforms to the universally held conviction that government interventions are essentially less productive and the desirability of a reduced size of the government in realizing sustainable green growth with equity.

In an era of liberalization and privatization, it is argued that the role of the government needs to be redefined if not necessarily truncated.

The current paper incorporates Gini (inequality measure) through its intercountry range dummies to study the differential effect of Gini on carbon emissions. Also, in some of the recent studies, distributional issues have surfaced explicitly in the discussion of income–climatic change relationship, but EF largely remains missing. The purpose of the current study is to investigate the same empirically.

In complementary metal-oxide-semiconductor (CMOS) logic circuits, there is a direct square proportion of supply voltage on dynamic power. If the supply voltage is high, then more amount of energy will be consumed. Therefore, if a low voltage supply is used, then dynamic power will also be reduced. In a mixed signal circuit, there can be a situation when lower voltage circuitry has to drive large voltage circuitry. In such a case, P-type metal-oxide-semiconductor of high-voltage circuitry may not be switched off completely by applying a low voltage as input. Therefore, there is a need for level shifter where low-voltage and high-voltage circuits are connected. In this paper the multi-scaling voltage level shifter is presented which overcomes the contention problems and suitable for low-power applications.

The voltage level shifter circuit is essential for digital and analog circuits in the on-chip integrated circuits. The modified voltage level shifter and reported energy-efficient voltage level shifter have been optimally designed to be functional in all process voltage and temperature corners for VDDH = 5V, VDDL = 2V and the input frequency of 5 MHz. The modified voltage level shifter and reported shifter circuits are implemented using Cadence Virtuoso at 90 nm CMOS technology and the comparison is made based on speed and power consumed by the circuit.

The voltage level shifter circuit discussed in this paper removes the contention problem that is present in conventional voltage level shifter. Moreover, it has the capability for up and down conversion and reduced power and delay as compared to conventional voltage level shifter. The efficiency of the circuit is improved in two ways, first, the current of the pull-up device is reduced and second, the strength of the pull-down device is increased.

The modified level shifter is faster for switching low input voltage to high output voltage and also high input voltage to low output voltage. The average power consumption for the multi-scaling voltage level shifter is 259.445 µW. The power consumption is very less in this technique and it is best suitable for low-power applications.

The case study aims to provide students with an understanding of child labour in India and how the Bachpan Bachao Andolan (BBA) movement is facilitating the eradication of child labour in India. The key objectives are to understand the challenges of eradicating child labour in India, assess the approaches to rescue and rehabilitation for the protection of a child in India, analyse the personality traits of a leader and evaluate the charismatic leadership of a leader.

The case study discussed child labour and the movement started by Kailash Satyarthi to protect children through the BBA or Save the Childhood Movement in India. He was awarded the Nobel Peace Prize in 2014 for his contribution to creating an environment to abolish child labour. Headquartered in New Delhi, BBA was established in 1980 to eliminate child slavery and violence against children (BBA.org.in, 2017). Satyarthi’s effort brought regulatory changes in the Indian constitution in the form of “Education as a fundamental right” (The Novel Prize, 2023). As per census 2011, more than 10 million children were involved in various industries in India (Drishtiias.com, 2019). Satyarthi and his BBA were far behind the mission they were to achieve. How should he move to eliminate child labour from India? Will he be able to create any impact on citizens, society and government through his new approaches?

The case study is ideal for courses on understanding strategy, leadership, personality traits and labour laws. This case study is designed for use in undergraduate and graduate early-stage programmes. The main purpose of this case study is to be used in programmes leading to a Master of Business Administration or a Bachelor of Business Administration. This case scenario focused on the BBA movement in India and its aim to eradicate child labour in India. It discussed the child labour scenario in Indian industries and how Satyarthi started the BBA movement to protect the future of underprivileged children in India. The case study discusses the challenges faced in rescuing and rehabilitation of children in India. The authors applied the big five model to analyse the personality of Satyarthi in the case context. The authors also used the concept and components of charismatic leadership to evaluate the traits of charismatic leaders from a case perspective. This case study will benefit students by focusing on traits related to personality and charismatic leadership concepts. Students will get the opportunity to explore the practical and theoretical concepts that interplay in this study.

Teaching notes are available for educators only.

CSS 6: Human resource management.

This paper aims to study the various developments taking place in the field of gas sensors made from polyaniline (PANI) nanocomposites, which leads to the development of high-performance electrical and gas sensing materials operating at room temperature.

PANI/ferrite nanocomposites exhibit good electrical properties with lower dielectric losses. There are numerous reports on PANI and ferrite nanomaterial-based gas sensors which have good sensing response, feasible to operate at room temperature, requires less power and cost-effective.

This paper provides an overview of electrical and gas sensing properties of PANI/ferrite nanocomposites having improved selectivity, long-term stability and other sensing performance of sensors at room temperature.

The main purpose of this review paper is to focus on PANI/ferrite nanocomposite-based gas sensors operating at room temperature.

Indian consumers are showing an increased demand for organic food products; however, little is known about their intention to buy organic foods. The purpose of this paper is to understand how fear towards conventional food products motivates an individual to buy organic food products and whether trust and perceived price as contextual factors are able to enhance the buying intention.

A total of 275 valid responses were collected using a self-administrated structured questionnaire, representative of Indian consumers. An ordinary least square regression analysis was used to analyse the effect of trust and perceived price in influencing the relationship between consumers’ fear and intention to buy organic food products.

The moderating role of trust and perceived price in enhancing the direct relation between fear and intention was established. In addition, cluster analysis results revealed that married women with children are showing a greater interest in buying organic food products.

The findings of the study are of high importance to all stakeholders in organic food products, as selecting marketing practices which target consumers’ concern is an indispensable part of finding a niche for organic food products.

The findings suggest that even though consumers are fearful towards conventional food products, they displayed negative intention to buy organic food products when their trust towards the third party is low, thus confirming the importance of trust as a buffering agent.