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The history of Nepal gives some insight into its current status as a diverse and multilingual nation with more than 123 languages. Multilingualism is part of the founding philosophy of the country but since it was unified in 1768, government attitudes to language and language education have fluctuated. Though historically education in Nepal has been delivered exclusively in the Nepali language and, more recently, in English, the Government of Nepal is now committed to introducing mother tongue-based, multilingual education (MLE).

Nepal has among the lowest literacy rates in the world (UNESCO Institute for Statistics, 2015) and the government seeks to turn this trend around, particularly for students who do not speak Nepali as a mother tongue. The commitment to strengthening mother tongue-based MLE features prominently in the Constitution of Nepal (2015), the Act Relating to Compulsory and Free Education (2018) and the School Sector Development Plan (MOEST, 2018). This new constitution declares that “all the mother tongues spoken in Nepal shall be the national language” (2015 article 6).

Implementing these policy commitments in over 120 languages across seven provinces and 753 municipalities is the next challenge for the fledgling democracy. As a “wicked hard” policy area, doing so will require a solid understanding of local attitudes, beliefs, resources, and capacities. This chapter gives a unified review of the history, languages, ideologies, beliefs, and trends that currently influence MLE in Nepal and are likely to play a role into the future.

The service sector has witnessed an important transformation due to technological disruption. The widespread adoption of digital technologies has enabled service providers to automate various tasks and processes. Blockchain technology, for instance, has transformed payments, remittances, and financial transactions in the financial services sector by providing greater transparency and security. The travel and hospitality industry has also seen changes through online booking platforms, review aggregators, and AI-driven recommendations. Other activities like entertainment, education, logistics, and transportation as well as retail have been disrupted by technologies leading to increased accessibility and efficiency and shaping the service economy into a customer-centric business model. This literature survey reviews the technological disruption in the services sector, including the health, education, financial, transport, tourism, and communications sectors. Across the subsectors reviewed, an average of 30 articles were reviewed and analyzed during the period 2000–2023.

Consideration is given to recent changes in food retailing in Europe. Forecasts of future changes are presented. The forecasts result from a survey of young executives in the European food retailing industry. They see a future with a wider variety of products, more discerning consumers, greater demands being made on manufacturers, more in‐store technology and a levelling of hypermarket growth.

The study identifies barriers all stakeholders face in the returns management process. The pressing issue of online product returns significantly erodes the net profit margins, demanding urgent action. Existing returns management systems are often complex, time-consuming and costly, failing to address this issue effectively. In this regard, persuasive technologies like gamification can effectively influence behaviour and enhance motivation towards reducing return by striking a balance between psychological and behavioural factors. Therefore, the study proposes a framework that combines the theory of planned behaviour and Octalysis to identify intentions to reduce product return rates in the e-commerce business.

A qualitative exploratory research design using a multiple case study-based approach with in-depth interviews conducted with 96 varied stakeholders was used to provide insights into the behavioural aspects for reducing return rates in e-commerce.

The results reveal three facets of effective returns management in e-commerce. Customers and delivery partners prioritize return processes, policies and rewards, emphasizing efficiency. Meanwhile, mid- and strategic-level employees are optimistic about return process enhancements. Interdepartmental integration and cross-functional communication are found to be vital, suggesting the need for a gamified framework in returns management.

This research enriches the returns management literature on gamification solutions and responds to the need for theoretical anchoring by applying the theory of planned behaviour at the organizational level to improve efficiency and customer centricity in the return process.

This paper aims to propose a biologically inspired processing architecture to recognize and classify fabrics with respect to the weave pattern (fabric texture) and yarn color (fabric color).

By using the fabric weave patterns image identification system, this study analyzed the fabric image based on the Hierarchical-MAX (HMAX) model of computer vision, to extract feature values related to texture of fabric. Red Green Blue (RGB) color descriptor based on opponent color channels simulating the single opponent and double opponent neuronal function of the brain is incorporated in to the texture descriptor to extract yarn color feature values. Finally, support vector machine classifier is used to train and test the algorithm.

This two-stage processing architecture can be used to construct a system based on computer vision to recognize fabric texture and to increase the system reliability and accuracy. Using this method, the stability and fault tolerance (invariance) was improved.

Traditionally, fabric texture recognition is performed manually by visual inspection. Recent studies have proposed automatic fabric texture identification based on computer vision. In the identification process, the fabric weave patterns are recognized by the warp and weft floats. However, due to the optical environments and the appearance differences of fabric and yarn, the stability and fault tolerance (invariance) of the computer vision method are yet to be improved. By using our method, the stability and fault tolerance (invariance) was improved.

The purpose of this chapter is to explore the mediating effect of consumer attitude towards purchasing organic food and moderating effect of consumer innovativeness on the intention to purchase organic food. A consumer survey was conducted with a specific focus on buyers of organic food products in Bosnia and Herzegovina. Data were collected during December 2016 via an online survey, eventually obtaining 173 valid questionnaires for analysis. The indirect effect of organic food knowledge, subjective norm, personal norm, organic food availability, attitude towards organic food and organic food scepticism on intention to purchase organic food was tested using the PROCESS Macro in SPSS. The results revealed that organic food knowledge, subjective norm, personal norm, attitude towards organic food have indirect effects on consumer intention to purchase organic food. Moreover, findings suggest that attitude towards organic food purchase mediates the link between these four factors and consumer’s intention to purchase organic food. In addition, it was proven that consumer innovativeness positively moderates the attitude-purchase intention link in the context of organic food consumption. This chapter enhances the external validity of previous empirical findings beyond the Western European context. Further, it provides some important guidelines to the retailers to develop and implement marketing strategies for organic food products.

This paper investigates the impact of last-mile logistics on consumers’ intentions when purchasing organic foods through e-commerce. By addressing challenges such as trust, pricing and supply chain issues, the study aims to demonstrate how sustainable delivery options can improve consumer perceptions of the long-term viability of organic foods. It examines how e-commerce platforms can mitigate these challenges, drawing on the “Stimulus-Organism-Response” model and the “Theory of Planned Behavior” to explore the cognitive processes that shape consumer decisions in the context of organic food purchases. This research contributes to a deeper understanding of how last-mile logistics affect consumer behavior in online organic food shopping.

To validate the proposed model, survey data were collected from 412 respondents across 19 Indian states through both online and offline channels. The data were analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS version 4. The study also examines the mediating role of perceived trust in influencing consumers’ willingness to pay for organic food adoption.

The study reveals that environmental concerns, last-mile logistics and website response time are key factors in determining consumers’ willingness to pay for organic foods. Furthermore, the findings indicate that price fairness and health consciousness significantly influence consumers’ behavioral intentions to purchase organic foods online.

The study emphasizes that consumer awareness campaigns are crucial for fostering green e-commerce adoption and achieving a sustainable future. It also underscores the potential of e-commerce platforms to address environmental and health concerns associated with organic food consumption.

This research highlights essential elements of organic food adoption that can increase consumer confidence, particularly through the role of last-mile logistics and e-commerce platforms. It underscores the importance of consumer awareness programs and education in promoting greener e-commerce practices, organic food adoption and a more sustainable future.

The purpose of this paper is to understand, among the emotional, practical and logical factors, which factor is more critical while consumers buy organic food products, mostly fruits and vegetables.

A self-administered questionnaire survey approach was used to provide a deeper insight into the reasons for consumers to buy organic fruits and vegetables (OF&V). A total of 632 valid questionnaires were obtained, yielding a response rate of 79%.

Health is a functional/practical factor which consumer expect as a result of consuming organic food products; however, fear towards conventional food products (emotional) is the triggering factor which motivates consumers to buy OF&V. The logical factor such as environmental motive was found insignificant in the current study, Thereby supporting the value theory which posited emotion greater than practical and which in turn greater than logical. However, barriers for consumers to buy OF&V are perceived price and willingness to take effort. Thus by focusing upon fear reducing strategy such as, implementing certification and labelling on OF&V would be a promising strategy.

To the authors' knowledge, no previous studies exist in the organic consumer behaviour research which used the value theory proposed by Mattson (1991) and the study was able to propose that beyond the practical and logical factors, emotional factor has important role while consumer think of buying OF&V.

This study examines the organic food continuance behavior (OFCB) of young (Generations Y and Z) Bangladeshi consumers as a part of green consumption for sustainable development. Based on the extended “Theory of Planned Behavior” (TPB), this study investigates the reasons for continuing organic food (OF) consumption. This research aims to create a model highlighting the characteristics influencing Bangladeshi consumers to continue eating OFs while considering the moderating role of health consciousness during the COVID-19 health crisis (CHC).

This is a longitudinal study, the first phase of which was conducted in 2020, whereas the second phase of data collection is completed on December 31, 2021. Thus, a longitudinal research design (N = 196) was used to investigate whether TPB element have the same impact over the period of time in two data collection phases. It also attempted to reveal if there is any change in the level of influences of Knowledge of organic food health benefit (HAK), and health consciousness on OFCB. A structured questionnaire was used to collect data from the participants of Generations Y and Z. Partial least square structural equation modeling validates the proposed research model.

Research results of phase two ensure that out of the five direct hypotheses related to social norm (SNRM), attitude (ATD), perceived behavioral control (PBRC), HAK and CHC, four (ATD, PBRC, HAK and CHC) significantly influence OFCB of Bangladeshi consumers. SNRM has no significant statistical influence on OFCB. On the other hand, all the direct hypotheses, including SNRM, were accepted during the first phase of the study. Hence, when people begin eating OF and recognize the health benefits, their firm behavioral control ensures that what others think has no significant influence on OFCB.

Most of the data for this study came from those born after 1980, commonly known as Generations Y and Z. Thus, including more data from different age groups may result in different research conclusions. The survey contains a large proportion (62%) of respondents with an income of less than BDT 40,000 per month, a price-sensitive demographic in Bangladesh. The price of OF was not included in this study though price sensitivity may have impacted the study’s findings.

This research used one moderating and four exogenous variables to determine Bangladeshi consumers’ OFCB. HAK and PBRC are proven to be the strongest determinants. Though health consciousness, Knowledge and self-control are essential, Bangladeshi citizens’ awareness of OF and sustainable consumption is still far below compared to other countries. Consequently, this study urges policymakers to raise health awareness through various social efforts.

The Bangladesh government has various initiatives to encourage sustainable development, including promoting OF consumption. Increased OF consumption will increase demand, resulting in an enormous need for organic production. This phenomenon will benefit society as bio-fertilizers are ecologically benign, resolving soil fertility issues and reducing disease risks while enhancing nutritional content. This study can serve as the foundation for developing a plan to boost the consumption of OFs, which can have a beneficial social impact.

Since no longitudinal study to explain the continuance of OFs has been observed in Bangladesh, this research uniquely contributes to predicting sustainable consumption behavior.