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The coronavirus disease 2019 (COVID-19) pandemic has had a big impact on organisations globally, leaving organisations with no choice but to adapt to the new reality of remote work to ensure business continuity. Such an unexpected reality created the conditions for testing new applications of smart home technology whilst working from home. Given the potential implications of such applications to improve the working environment, and a lack of research on that front, this paper pursued two objectives. First, the paper explored the impact of smart home applications by examining the factors that could contribute to perceived productivity and well-being whilst working from home. Second, the study investigated the role of productivity and well-being in motivating the intention of remote workers to use smart home technologies in a home-work environment in the future.

The study adopted a cross-sectional research design. For data collection, 528 smart home users working from home during the pandemic were recruited. Collected data were analysed using a structural equation modelling approach.

The results of the research confirmed that perceived productivity is dependent on service relevance, perceived usefulness, innovativeness, hedonic beliefs and control over environmental conditions. Perceived well-being correlates with task-technology fit, service relevance, perceived usefulness, perceived ease of use, attitude to smart homes, innovativeness, hedonic beliefs and control over environmental conditions. Intention to work from a smart home-office in the future is dependent on perceived well-being.

The findings of the research contribute to the organisational and smart home literature, by providing missing evidence about the implications of the application of smart home technologies for employees' perceived productivity and well-being. The paper considers the conditions that facilitate better outcomes during remote work and could potentially be used to improve the work environment in offices after the pandemic. Also, the findings inform smart home developers about the features of technology which could improve the developers' application in contexts beyond home settings.

The COVID-19 pandemic has impacted 222 countries across the globe, with millions of people losing their lives. The threat from the virus may be assessed from the fact that most countries across the world have been forced to order partial or complete shutdown of their economies for a period of time to contain the spread of the virus. The fallout of this action manifested in loss of livelihood, migration of the labor force and severe impact on mental health due to the long duration of confinement to homes or residences.

The current study identifies the focus areas of the research conducted on the COVID-19 pandemic. Abstracts of papers on the subject were collated from the SCOPUS database for the period December 2019 to June 2020. The collected sample data (after preprocessing) was analyzed using Topic Modeling with Latent Dirichlet Allocation.

Based on the research papers published within the mentioned timeframe, the study identifies the 10 most prominent topics that formed the area of interest for the COVID-19 pandemic research.

While similar studies exist, no other work has used topic modeling to comprehensively analyze the COVID-19 literature by considering diverse fields and domains.

Customization allows brands to provide goods that match customers’ preferences, but its impact on consumer–brand relationships is unclear. This study aims to examine the impact of two key moderators on the effectiveness of customization to enhance brand’s perceived partner quality, which mediates the relationship between customization and brand attitude.

Study 1 (n = 219) tests the moderated–mediation relationship, the effect of customization (IV) on perceived partner quality (mediator), and its indirect effect on brand attitude (DV), which is moderated by consumers’ self-construal orientation (Moderator 1). Study 2 (n = 416) extends the model tested in Study 1 by including an additional moderator, shopping task context (Moderator 2).

Results empirically demonstrate the impact of self-construal and shopping task context on the effectiveness of customization in improved customer–brand partner quality and eventual brand attitude.

Customization may not appeal to every customer for the same reason. Marketers must target customers’ individual traits (independents vs interdependents) and understand the context of the shopping task context (self-purchase vs gift-giving).

The work reveals how brands can enhance consumers’ perceptions of the brand by allowing them to customize the product. It is novel in demonstrating that customization is not just a fine-grained segmentation strategy but a brand building tool. It highlights contextual factors affecting the outcome of customization by demonstrating the conditions under which it is most effective.

Purpose: Preserving a country’s culture is crucial for its sustainability. Handicraft is a key draw for tourism destinations; it protects any civilisation’s indigenous knowledge and culture by managing the historical, economic, and ecological ecosystems and perfectly aligns with sustainable development. It has a significant role in creating employment, especially in rural regions and is an essential contributor to the export economy, mainly in developing nations. The study focuses on the skills required and existing gaps in the handicraft industry, its development and prospects by considering women and their role in preserving and embodying the traditional art of making handicrafts.

Approach: A framework has been developed for mapping and analysing the skills required in the handicraft sector using econometric modelling; an enormous number of skills have been crowdsourced from the respondents, and machine learning techniques have been used.

Findings: The findings of the study revealed that employment in this area is dependent not only on general or specialised skills but also on complex matrix skills ranging from punctuality to working in unclean and unsafe environments, along with a set of personal qualities, such as taking initiatives and specific skills, for example polishing and colour coding.

Implications: The skills mapping technique utilised in this study is applicable globally, particularly for women indulged in casual work in developing nations’ handicrafts industry. The sustainable development goals, tourism, and handicrafts are all interconnected. The research includes understanding skills mapping, which provides insights into efficient job matching by incorporating preferences and studying the demand side of casual working by women in the handicraft sector from a skills perspective.

This paper aims to survey India's experience with exporting services. The authors seek to show that the country's experience is unique in that modern tradable services are a significantly larger share of GDP than in other countries at comparable levels of economic development. This has not always been the case, however; India's out‐performance is limited to recent years. Policy initiatives, from trade reform to liberalization of domestic industrial and service sectors, were important for jump‐starting the process.

This paper reviews the literature and evidence. It takes a close look at the Indian service sector and specifically information‐technology‐related (IT) services, seeking to situate the growth in service exports from India in its comparative context. The authors document the role that exports of services have played in the performance of the Indian economy in recent years. They seek to pinpoint the “take‐off” in Indian services output and establish the extent to which the country's success in exporting services is exceptional from an international point of view. And they discuss the extent to which India's performance as an exporter of services has been shaped by policies liberalizing the service sector itself and by liberalization of the manufacturing sector.

Panel and country‐specific regressions for a cross section of countries point to the importance of a range of additional factors: overall economic development, communications infrastructure, access to foreign technology, and spillovers between the merchandise and service exports. Importantly, however, these factors, jointly or individually, do not wipe out the significance of a dummy variable for India. India, evidently, is a significant outlier as an exporter of services, and even more so as the period proceeds.

The paper discusses the country's major policy initiatives, such as trade reforms and liberalization of domestic industrial and service sectors, and their importance for jump‐starting the process of services growth and its exports. Regression results show that, in addition to these policies, other factors such as overall economic development, communications infrastructure, access to foreign technology, and spillovers between the merchandise and service exports were important as well.

Right to Information (RTI) is a formidable tool in the hands of responsible citizens to fight corruption and ensure transparency and accountability within a participatory democracy. The RTI Act was promulgated in India in October 2005, and has fundamentally changed the power equation between the government and citizens. T.his chapter examines the contribution of the Act, in particular playing a significant role by providing information necessary to combat corruption in India. It is also noted, however, that RTI is not an unmixed-blessing as it is seen how costly it has been for zealous investigative journalists.

Community health workers (CHWs) are vital to addressing public health system limitations in developing countries. However, effective identification and support of underperforming CHWs remains a challenge. This study develops a predictive model to proactively identify underperforming CHWs, facilitating targeted interventions for improved CHW programmes.

We developed a predictive model to identify underperforming CHWs in Uttar Pradesh, India. Data from 140,101 CHWs over a 12-month period was used to build, test and validate the model. Classification techniques, ensemble modeling and a model tuning algorithm were employed for accuracy optimization and early identification.

Logistic regression, decision trees and random forests yielded the best performance. While ensemble models offered no significant performance improvements over the base models, the model tuning algorithm effectively increased prediction accuracy by 19 percentage points. This enabled early identification of poor-performing CHWs and high-risk CHW clusters early in the year.

The developed model has significant potential to improve CHW programmes. It enables targeted support, feedback and resource allocation, leading to enhanced CHW performance, motivation and healthcare outcomes in the communities they serve. The model can provide personalised feedback to help CHWs overcome challenges and dynamic clustering facilitates proactive identification and tailored support for those at risk of underperformance.

This study is the first attempt to use predictive modelling to identify underperforming CHWs, advancing the nascent field of CHW performance analytics. It underscores the effectiveness of digital technologies and data in improving CHW programmes.