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The purpose of the study is to identify the factors affecting the entrepreneur's choice of the dairy value chain and evaluate the impact of the value chain on farm performance (profit).

Primary data were collected from dairy entrepreneurs in India, covering nine states. A multinomial treatment effect model (controlling for selection bias and endogeneity) was used to evaluate the impact of the choice of the value chain on entrepreneurs' profit.

Dairy entrepreneurs operating in any recognized value chain other than the value chain driven by the consumer household realize a comparatively lesser profit. Dairy farmers have established direct linkages with customers in urban areas – who could pay premium prices for safe and quality milk. Food safety compliance is positively associated with profit and entrepreneurs (who have undergone formal training in dairying) preferred partnerships with a formal value chain. The prospects of starting a dairy enterprise are slightly higher in villages compared to urban areas.

Dairy entrepreneurs can make a shift in accordance with the study's findings and boost their profitability. It aids in comprehending how trainees (who obtained advice and training for raising dairy animals from R&D organizations) and non-trainee dairy farmers make value chain selections, which ultimately affect profitability. However, purposive sampling and a small sample size limit the universal implications of the study.

Developing entrepreneurial behavior and startup culture is at the center of policymaking in India. The findings imply that the emerging value chain not only enhances the profit of dairy farmers by resolving consumer concerns about food safety and the quality of milk and milk products but also builds consumer trust.

This paper offers insight into how the benefits of dairy entrepreneurs vary with their participation in the different value chains. The impact of skill development/training programs on value chain selection and farm profitability has not yet been fully understood. Here is an attempt to fill this gap. This paper through light on how trained and educated dairy entrepreneurs are able to establish a territorial market by approaching premium customers – this is an addition to the existing literature.

This study aims to address the need for robust conceptual foundations in the digital nomadism discourse through a systematic literature review (SLR). It delves into digital nomadism within sustainable tourism, providing valuable insights to foster community development.

This study uses a rigorous eight-step process that combines an SLR and a system dynamics approach. In the SLR phase, the authors use the theory, context, characteristics and methodology framework to identify key variables for a dynamic model of sustainable tourism through digital nomadism, following detailed search and selection criteria based on PRISMA guidelines. The second phase uses causal loop diagrams (CLDs) from the literature review to visualize relationships and inform future research directions. The CLD model is validated through literature-based and stakeholder interaction processes, focusing on the social, economic and environmental dimensions, resulting in the development of a robust conceptual model.

This study identified 28 theories, including agency–structure theory, travel career ladder theory, stakeholder theory and grounded theory, among others. Semi-structured interviews were the primary research method. Major themes explored encompass community interactions, work lifestyles, cultural aspects, financial considerations, infrastructure and policy. The proposed conceptual model aims to scrutinize relationships across economic, environmental and social dimensions, providing a foundation for investigating and promoting sustainable tourism.

Policy implications involve refining taxation policies to maintain tax bases, promoting collaborative economic models and enforcing environmental regulations. Additionally, integrating community planning infrastructure and implementing demographic strategies to manage potential population shifts are crucial. Policies supporting education, skill transfer, health and well-being initiatives contribute significantly to fostering sustainable tourism practices and enhancing community vitality.

To the best of authors’ knowledge, this study is the first in the digital nomadism space to propose a conceptual model for sustainable tourism adoption.

本研究通过系统的文献综述解决了数字游牧话语中对坚实概念基础的需求。它深入研究了可持续旅游业中的数字游牧主义, 为促进社区发展提供了宝贵的见解。

本研究采用严格的八步流程, 结合了系统文献综述（SLR）和系统动力学方法。在 SLR 阶段, 我们利用 TCCM 框架, 遵循基于 PRISMA 指南的详细搜索和选择标准, 通过数字游牧主义确定可持续旅游业动态模型的关键变量。第二阶段利用文献综述中的因果循环图（CLD）来可视化关系并为未来的研究方向提供信息。 CLD 模型通过基于文献和利益相关者互动过程进行验证, 重点关注社会、经济和环境维度, 从而开发出稳健的概念模型。

本研究确定了 28 种理论, 包括代理结构理论、旅游职业阶梯理论、利益相关者理论和扎根理论等。半结构化访谈是主要的研究方法。探讨的主要主题包括社区互动、工作生活方式、文化方面、财务考虑、基础设施和政策。提出的概念模型旨在审查经济、环境和社会维度之间的关系, 为调查和促进可持续旅游业提供基础。

政策影响包括完善税收政策以维持税基、促进协作经济模式以及执行环境法规。此外, 整合社区规划基础设施和实施人口战略以管理潜在的人口变化也至关重要。支持教育、技能转让、健康和福祉举措的政策对促进可持续旅游实践和增强社区活力做出了重大贡献。

据作者所知, 这项研究是数字游牧领域第一个提出可持续旅游业概念模型的研究。

Este estudio aborda la necesidad de fundamentos conceptuales sólidos en el discurso del nomadismo digital, mediante una revisión sistemática de la literatura. Profundiza en el nomadismo digital dentro del turismo sostenible, proporcionando un conocimiento valioso para fomentar el desarrollo comunitario.

Este estudio emplea un riguroso proceso de ocho pasos que combina una revisión sistemática de la literatura (SLR) y un enfoque de dinámica de sistemas. En la fase SLR, utilizamos el marco Teoría-Contexto-Características-Metodología (TCCM) para identificar variables clave para un modelo dinámico de turismo sostenible a través del nomadismo digital, siguiendo criterios detallados de búsqueda y selección basados en las directrices del método de elementos de notificación preferidos para revisiones sistemáticas y metaanálisis (PRISMA). La segunda fase utiliza diagramas de bucles causales (CLD) a partir de la revisión de la literatura para visualizar las relaciones e informar sobre futuras direcciones de investigación. El modelo CLD se valida mediante procesos basados en la literatura y en la interacción con las partes interesadas, centrándose en las dimensiones social, económica y medioambiental, lo que da como resultado el desarrollo de un modelo conceptual sólido.

Este estudio identificó 28 teorías, entre ellas la teoría de la estructura de agencia, la teoría de la carrera profesional en los viajes, la teoría de las partes interesadas y la teoría fundamentada. Las entrevistas semiestructuradas fueron el método de investigación primordial. Los principales temas explorados abarcan las interacciones comunitarias, los estilos de vida laborales, los aspectos culturales, las consideraciones financieras, la infraestructura y la política. El modelo conceptual propuesto tiene como objetivo examinar las relaciones entre las dimensiones económica, medioambiental y social, proporcionando una base para investigar y promover el turismo sostenible.

Las implicaciones políticas conllevan el perfeccionamiento de las políticas fiscales para mantener las bases impositivas, el fomento de modelos económicos colaborativos y el cumplimiento de la normativa medioambiental. Además, es fundamental integrar la infraestructura de planificación comunitaria y aplicar estrategias demográficas para gestionar los posibles cambios en la población. Las políticas de apoyo a las iniciativas de educación, transferencia de habilidades, salud y bienestar contribuyen significativamente a fomentar prácticas de turismo sostenible y a mejorar la vitalidad de la comunidad.

Hasta donde el autor sabe, este estudio es el primero en el espacio del nomadismo digital que propone un modelo conceptual para la adopción del turismo sostenible.

The objective of this paper is to investigate the effect of working capital efficiency (WCE) and its components on the composite financial performance of a sample of Indian firms.

Our sample includes 796 non-financial listed firms from 2015–16 to 2021–22. Sample firms’ profitability, liquidity, solvency, cash flow management, and financial and operational leverage have been used to classify them into companies with high composite financial performance (HCFP) and with low composite financial performance (LCFP) by using K-Means Clustering technique. A composite financial performance score (CFPS) of 1 has been assigned to HCFP and 0 to LCFP. We have used logistic regression models with fixed effect to estimate the effect of cash conversion cycle (CCC) and its components, i.e. inventory days, accounts receivable days and accounts payable days on CFPS in the presence of control variables such as growth, leverage, firm size, and age.

The study finds that CCC and inventory days are inversely associated with CFPS. This finding shows that the firms’ WCE leads to superior financial performance on a composite basis.

The research findings are based on samples drawn from the population of the listed Indian non-financial companies. Since the operation, financial practices, working capital policies, and management styles of firms vary greatly among nations, the results of this study should be extended to firms in other countries after taking into account the degree of resemblance to the sample firms.

The findings of this study hold significant value for industry practitioners, as they provide guidance in determining the optimal allocation of funds for working capital and devising strategies for effectively managing inventory levels, credit sales, and vendor payments in order to increase the overall value of the company. This study aims to help investors in building their investment portfolios by identifying companies with superior composite financial performance. Investors can enhance the construction of their investment portfolios by strategically selecting companies that demonstrate superior overall performance.

The results of our study will help companies improve their WCM strategies to enhance their overall value, and their significance increases manifold during economic downturns. Business firms that perform well by efficiently managing their working capital have a multiplier effect on the economy and society at large in the form of GDP contribution, labor income, taxes to the government, investment in capital assets, and payments to suppliers.

To understand the impact of WCE on firms’ performance, the extant working capital literature focuses on some specific characteristics such as profitability, valuation, solvency, and liquidity. The limitation of employing a single parameter is its inability to present the comprehensive performance evaluation of firms. This study is among the earliest studies that focus on the holistic evaluation of WCE's impact on the composite performance of a company.

Social media marketing (SMM) denotes attaining website traffic or attention through social media platforms. The paper aims to focus on examining the viewpoint of library professionals from different universities along with the user respondents from different disciplines and universities on the role of social media tools to market university libraries.

It is a survey-based study that used the questionnaire as its chief data collection instrument designed to be administered to library professionals (n = 100) and users (n = 1,189) from eight universities. The study also adopted the general observation and interview methods to supplement the data. The data was analyzed using SPSS software, and Chi-square test and ANOVA were applied to ascertain the significant variations in viewpoints of the library professionals and the users.

The research study showed that library professionals (from different universities) and users (from different disciplines and universities) felt that social media could be an appropriate marketing tool for libraries in the future. Observations during data collection highlighted a lack of confidence and unwillingness among library professionals to implement any changes in the present time.

The present study provides some significant insights for improving the current situation of the libraries under study in terms of increasing awareness among the students and adopt social media tools for marketing of library facilities and services in future. It is important to note that a few issues that came into light during data collection were a marked lack of willingness and prevalence of less confidence among the library professionals to execute or implement the social media tools to market library resources and services among the users.

SMM programs focus on creating content that attracts attention and encourages readers to use it. This study attempts to fill the gap in of marketing in libraries through social media. The paper offers insights into the use of marketing tools for promoting library resources and services as per the needs of library users. The research work differs from other studies undertaken on library marketing related to social media as it has included both library professionals and users together to obtain a better picture in this regard.

This paper aims to explore the application of drumstick (Moringa oleifera) flower (DF) as a functional antioxidative ingredient in goat meat product.

Dried DF was included in the product formulation at 1% (Treatment I) and 2% (Treatment II) levels. The physicochemical, colour, textural and sensory quality as well as storage stability of nuggets with DF were determined against control.

The dried DF was found to be rich source of protein and dietary fibre, possessing good antioxidant potential. Chromatographic analysis of DF extract showed presence of 14 active principles known to have antioxidative properties. Inclusion of dried DF decreased pH values of emulsion (p = 0.005) as well as nuggets (p < 0.001) and increased (p < 0.001) the ash, dietary fibre and phenolic contents. The added DF affected the product’s lightness (p = 0.017), yellowness (p < 0.001, hardness (p < 0.001), adhesiveness (p = 0.032), cohesiveness (p = 0.006), gumminess and chewiness (p < 0.001). Sensory characteristics of control and product with DF were statistically similar except low (p = 0.002) flavour score for Treatment II. DF inclusion lowered (p < 0.001) thiobarbituric acid reactive substances number and total plate count.

DF can be used as a source of antioxidants and dietary fibre in goat meat nuggets to enhance their health value, functionality and storage stability.

Foods including goat meat nuggets enriched with goodness of functional ingredients like dietary fibre and natural antioxidants are gaining consumer’s preference globally. Inclusion of drumstick flower in goat meat nuggets significantly increases the dietary fibre and antioxidants making such products healthier and more stable. Consumption of goat meat nuggets added with drumstick flower is expected to improve consumer’s well-being as well.

The role of information and communications technology (ICT) has been tested in various contexts of online shopping and the results show that ICT has successfully transformed the way of doing business. This study aims to propose that if women have adequate internet skills, namely, operative, informational and creative skills, their entrepreneurial intentions will be high.

This is descriptive research. The data was collected from 246 university students and analyzed using PLS-SEM.

The results of the study show that students belonging to entrepreneurial backgrounds have a positive attitude toward entrepreneurship. The impact of internet skills was mixed on the relationship of entrepreneurial attitude and entrepreneurial intention.

The sample was not generalized as the sample consisted of urban and internet-using women. Future research can test the model for rural women entrepreneurs or usage of m-commerce for the same.

The results of the study show that women having the skills to operate the internet have higher intentions to become an entrepreneur. Thus, the e-commerce web-space can use the results to influence women of the new generation to use available tools in their journey of entrepreneurship.

Women are an indispensable part of society. Empowering them will not only improve their confidence but will also strengthen the pillars of society.

Extensive research work has been done in the context of women entrepreneurship. The study is a novel attempt to test the effects of internet skills on entrepreneurial intention among new generation women. The results will be very much useful for future research and will extend the body of academic literature.

This study aims to explore tourist perceptions and behaviors toward electric vehicles (EVs) in the Delhi National Capital Region using the technology continuance theory.

An online survey involving 226 respondents uses structural equation modeling to analyze correlations among factors, including perceived enjoyment, facilitating conditions, ease of use, satisfaction, cost, image and performance.

This study reveals that enhancing perceived enjoyment and facilitating conditions can improve the user-friendliness of EVs. Additionally, reducing perceived cost, enhancing image and improving perceived performance can increase the perceived usefulness of EVs. Perceived ease of use strongly influences user satisfaction, while perceived usefulness and satisfaction positively impact users’ attitudes and intentions to use EVs. Although factors such as experience, environmental consciousness, age and gender influence perceptions, focusing on enjoyment, facilitating conditions, cost, image and performance can significantly enhance user satisfaction and intention to use EVs.

The findings underscore several actionable recommendations for businesses and policymakers to boost EV adoption at tourist destinations. The potential benefits of EV adoption, such as improved environmental sustainability, enhanced technological image and increased tourist satisfaction, can serve as a source of inspiration and motivation. Enhancing user experience by prioritizing comfort and convenience in EV design is crucial. Addressing cost concerns through incentives and cost-effective pricing strategies can make EVs more appealing. Marketing campaigns highlighting environmental benefits and technological advancements can improve EV image and performance perception. Prioritizing tourists’ satisfaction and support services is essential, along with educational campaigns to increase awareness. Infrastructure development, including expanding charging networks, and supportive policies like tax incentives, can further encourage EVs adoption, accelerating the transition to sustainable transportation.

This research contributes to understanding tourist perspectives on EV adoption within the context of sustainable tourism and technology adoption.

The main aim of this paper is to examine the total factor productivity (TFP) and its components namely, technological change, technical efficiency change, scale change and allocative change in bakery industry in India.

The study is based on panel data on 35 Indian states for the period 2009–2010 and 2012–2013. Stochastic frontier function is employed to estimate the productivity growth.

The results show that TFP is driven by technological progress, followed by technical efficiency and scale efficiency. Allocative efficiency, however, has a negative effect on TFP.

The bakery industry needs to define its innovation strategies, as these strategies lead to different outcomes that can be achieved only through the management of resources dedicated to the generation and implementation of innovations.

Using frontier production function takes the stochastic context into account for the dynamic behaviour of TFP and its components. Most of the past studies have assessed the TFP at the aggregate level using three-digit National Industrial Classification (NIC) or four-digit NIC code. An analysis at higher levels aggregation masks the variation in TFP and its components available at the firm level. This study uses five-digit NIC data to measure the firm specific TFP of bakery industry. Further, it looks at the contribution of technical progress (TP), technical efficiency, scale efficiency and allocative efficiency.

This paper delineates the appraising and comparing the circumstances that may influence the choices and preferences of the undergraduates of National Institutes of Technology (NITs) of the north-western region of India for using library’s print versus electronic resources. The author investigated the circumstances in knowing whether different situations impact their choice for using print or electronic resources concerning their demographical characteristics for their academic learning.

The study used a survey of undergraduates at six NITs in the north-western region of India. The responses were analysed using Chi-Square, Mann–Whitney and Kruskal–Wallis statistical analysis tests, via SPSS software.

The study revealed that respondents preferred a mix of both forms of sources for their academic studies under different circumstances. The results reveal that the institution of respondents affected the choice of print resources over e-resources and vice versa in many different circumstances. Respondents’ year of study affected the choice of using print over e-resources and vice versa in certain situations. The residential backdrop affects the choice of using e-resources over print in some situations. Gender of respondents affects the choice of using e-resources over print under some situations.

The study will further aid librarians at six NITs in the north-western region of India to know whether print resources still have the same importance among library users or their preference switched towards using electronic resources.

This study offers new perspectives on the use of print verses electronic resources among the undergraduates at six NITs in the north-western region of India so that the libraries can procure desired resources rather than moving with the market trends.

This paper aims to examine technical efficiency and its determinants in Indian textile garments industry in post-agreement on textiles and clothing regime and evaluate the technical efficiency among micro, small and medium enterprises (MSMEs) firms.

This study uses unbalanced panel data for the period 2005–2010 to 2015–2016. The stochastic frontier function is used to estimate technical efficiency and its determinants.

The results show that the overall ecosystem of textile garments’ value chains could be improved to enhance the technical efficiency thereof. The result also reveals that small-scale firms have the highest technical efficiency scores, and medium-scale firms have the least technical efficiency score among all the categories of MSMEs.

The textile garments industry needs to define its innovation strategies, as these strategies lead to different results that can be achieved only through the management of resources dedicated to the generation and implementation of innovations.

This study has shown that to offset India’s cost disadvantage in the international markets, there is a need to develop an ecosystem of textile manufacturing and value chains, eliminate the inverted duty structure (where inputs are taxed at a higher rate than the final product) and switch over from shuttle looms toward shuttle-less looms. This would unleash the potential of textile and garments industry and make it globally competitive and technically efficient. Further, there will be an alignment with the ease of doing business with an appropriate mix of policy, technology, institution, infrastructure, information and services.

Using frontier production function takes stochastic context into account for the dynamic character of technical efficiency and its components. Most of the past studies have assessed technical efficiency at the aggregate level using three-digit National Industrial Classification (NIC) or four-digit NIC code. An analysis at higher levels of aggregation masks the variation in technical efficiency. This study used five-digit NIC data to measure the firm-specific technical efficiency of the textile industry. According to the authors’ knowledge, this study is the first of its kind in the Indian textile industry using stochastic frontier approach and panel data. Further, it also looks at the contribution of different determinants in technical efficiency to the firms.