Amit Sood, Rajendra Kumar Sharma and Amit Kumar Bhardwaj
The purpose of this paper is to provide a comprehensive review on the academic journey of artificial intelligence (AI) in agriculture and to highlight the challenges and…
Abstract
Purpose
The purpose of this paper is to provide a comprehensive review on the academic journey of artificial intelligence (AI) in agriculture and to highlight the challenges and opportunities in adopting AI-based advancement in agricultural systems and processes.
Design/methodology/approach
The authors conducted a bibliometric analysis of the extant literature on AI in agriculture to understand the status of development in this domain. Further, the authors proposed a framework based on two popular theories, namely, diffusion of innovation (DOI) and the unified theory of acceptance and use of technology (UTAUT), to identify the factors influencing the adoption of AI in agriculture.
Findings
Four factors were identified, i.e. institutional factors, market factors, technology factors and stakeholder perception, which influence adopting AI in agriculture. Further, the authors indicated challenges under environmental, operational, technological, economical and social categories with opportunities in this area of research and business.
Research limitations/implications
The proposed conceptual model needs empirical validation across countries or states to understand the effectiveness and relevance.
Practical implications
Practitioners and researchers can use these inputs to develop technology and business solutions with specific design elements to gain benefit of this technology at larger scale for increasing agriculture production.
Social implications
This paper brings new developed methods and practices in agriculture for betterment of society.
Originality/value
This paper provides a comprehensive review of extant literature and presents a theoretical framework for researchers to further examine the interaction of independent variables responsible for adoption of AI in agriculture.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2020-0448
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Pawan Gupta, Arvind Kumar Lal, Rajendra Kumar Sharma and Jai Singh
Proposes a method to compute reliability and long‐run availability of the main parts of the butter‐oil (melted butter) manufacturing plant. This manufacturing plant consists of…
Abstract
Purpose
Proposes a method to compute reliability and long‐run availability of the main parts of the butter‐oil (melted butter) manufacturing plant. This manufacturing plant consists of eight sub‐systems working in a series. Two sub‐systems, namely pump and chiller, are supported by stand‐by units with perfect switch‐over devices and the remaining six sub‐systems are prone to failure.
Design/methodology/approach
Mathematical formulation of the model is carried out using mnemonic rule for these six sub‐systems. Reliability, availability and MTBF of the serial process in the butter‐oil processing plant have been computed for various choices of failure and repair rates of sub‐systems of this plant.
Findings
Analysis of reliability, long‐run availability and mean time before failure of the butter‐oil manufacturing plant can help in increasing the production and quality of the butter‐oil.
Originality/value
Industrial implications of the results have also been briefly discussed.
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Pawan Gupta, Arvind Kumar Lal, Rajendra Kumar Sharma and Jai Singh
The purpose of this paper is to compute reliability, availability, and mean time before failure of the process of a plastic‐pipe manufacturing plant consisting of a (K, N) system…
Abstract
Purpose
The purpose of this paper is to compute reliability, availability, and mean time before failure of the process of a plastic‐pipe manufacturing plant consisting of a (K, N) system for various choices of failure and repair rates of sub‐systems. This plant consists of eight sub‐systems.
Design/methodology/approach
In this paper the Chapman‐Kolmogorov differential equations are formed using mnemonic rule from the transition diagram of the plastic‐pipe manufacturing plant. The governing differential equations are solved using matrix method in order to find the reliability of the system with the help of MATLAB software. The same system of differential equations is solved numerically using Runge‐Kutta fourth order method to validate the results obtain by MATLAB.
Findings
The findings in the paper are an analysis of reliability, availability and mean time before failure of plastic‐pipe manufacturing plant has been carried out.
Practical implications
This paper proposes matrix calculus method using MATLAB software to find out the reliability of the plastic‐pipe manufacturing plant. This approach can be implemented to find reliability of other manufacturing plants as well.
Originality/value
The findings suggest that the management of the plastic‐pipe manufacturing plant 's sensitive sub‐system is important to improve its performance.
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Vikas Kumar, Vikrant Kaushal and Mohit Sharma
Engaging tourists with a destination brand can offer innumerable benefits. Based on stakeholder and social exchange theories, this study aims to comprehend destination social…
Abstract
Purpose
Engaging tourists with a destination brand can offer innumerable benefits. Based on stakeholder and social exchange theories, this study aims to comprehend destination social responsibility’s (DSR) role in inducing destination brand engagement (DBE) and favorable behavioral intentions, i.e. destination advocacy and revisit intentions. Further, the study examines self-congruence as a boundary condition to DSR’s impact on DBE.
Design/methodology/approach
Data were collected through an online survey of individuals in India and analyzed using structural equation modeling.
Findings
Findings highlight the importance of stakeholder and social exchange theories for socially responsible destinations by establishing a link between DSR and DBE, which adds to scholarship and holds practical relevance. Results confirm the moderating effects of self-congruence.
Research limitations/implications
The study did not assume the variation of tourists based on their characteristics and types while examining the moderation effects.
Originality/value
Research adds value by establishing the importance of DSR in engaging tourists with a destination. Furthermore, the study demonstrates how engaged tourists can showcase favorable responses toward the destination.
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Anil Kumar Dixit, Smita Sirohi, K.M. Ravishankar, A.G. Adeeth Cariappa, Shiv Kumar, Gunjan Bhandari, Adesh K. Sharma, Amit Thakur, Gaganpreet Kaur Bhullar and Arti Thakur
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…
Abstract
Purpose
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).
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Social implications
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.
Originality/value
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.
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Manoj Kumar Dash, Rajendra Sahu, Gayatri Panda, Deepa Jain, Gaurvendra Singh and Chetanya Singh
With the changing times, the role of social media has increased manifold. It acts as one of the platforms for disseminating information to the public faster. Social media enables…
Abstract
Purpose
With the changing times, the role of social media has increased manifold. It acts as one of the platforms for disseminating information to the public faster. Social media enables us to focus on widespread ways of reaching the target audience. The principal motto of this research study is to identify the role of social media in public health development with a systematic review of literature in terms of its practice, assistance and application in future areas of public health measures.
Design/methodology/approach
The research adopted a bibliometric analysis method to analyze the data from vast sources. The Scopus database was used to extract papers using appropriate keywords. Thus, the study tries to answer the following research questions: (1) to determine the key journals, authors and keywords in the public health development research; (2) to provide a theme-based cluster based on the keywords’ cooccurrences; and (3) to develop a research framework for the upcoming researchers.
Findings
The study's findings provide a path to understanding the present research stream regarding the highest publication in terms of journals and the year and relevance of social media in public health development. Five theme-based clusters have been identified based on keyword cooccurrences. Thus, future researchers can extend the research field using different themes and frameworks, adding value to the present research works.
Practical implications
This research work is helpful to the government, health practitioners, policymakers and researchers in investigating areas where social media can be implemented. Lastly, social media applications will provide health development measures and lucrative results to the public.
Originality/value
The research enumerates the significance of social media in public health development through bibliometric analysis. The research work analyzed, reviewed and measured the importance of social media in health development measures by recognizing its usage, application and potential future research directions. The theme-based clusters have also been identified from the keywords’ cooccurrences.
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Saptarshi Bhattacharya, Rajendra Prasad Sharma and Ashish Gupta
Online shoppers feel insecure due to the various unethical practices of e-tailers. It is, therefore, crucial for online retailers to alleviate customer concerns. Extant literature…
Abstract
Purpose
Online shoppers feel insecure due to the various unethical practices of e-tailers. It is, therefore, crucial for online retailers to alleviate customer concerns. Extant literature indicates that country-of-origin (COO) cues influence consumer perception. A relatively underexplored phenomenon in an emerging market context, the COO image of the online retailer, i.e. a foreign-origin online retailer (FOOR) or an Indian-origin online retailer (IOOR), needs validation. The current study investigates customer expectations of online retailers' ethical behaviour against the backdrop of online retailer-based signals in emerging markets.
Design/methodology/approach
The researchers floated an online questionnaire using a seven-point Likert scale. The authors sought recipient responses in Google Forms shared via e-mails and social media connections. The authors analysed 1,018 useable responses using partial least square structural equation modelling (PLS-SEM) in Smart PLS 3.
Findings
The empirical study examined the influence of the consumer perception of ethics of online retailers (CPEOR) and COO on consumer purchase intention. It validated the proposed research model. The research findings inform that the CPEOR and the COO influence purchase intention through the mediation effects of trust and satisfaction. Results indicate that privacy, security, non-deception, fulfilment, customer service, FOOR and IOOR strongly predict consumer trust. In contrast, privacy, non-deception, fulfilment, customer service and FOOR strongly predict consumer satisfaction. However, security and IOOR did not influence consumer satisfaction.
Research limitations/implications
The study results have theoretical and practical implications for academic researchers and online retailing managers. Future studies can validate the model in different geo-demographic scenarios and e-commerce settings.
Originality/value
The study enriches the extant literature on CPEOR in the Indian context. This study is pioneering work examining consumer purchase intention by adding the COO construct to the CPEOR model.
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Jagbir Singh, Mukul Kataria, Vishesh Kumar, Chandrashekhar Jawalkar and Rajendra Madhukar Belokar
The purpose of the study is to fabricate a joint between two aluminium metal matrix composites using microwave hybrid heating (MHH).
Abstract
Purpose
The purpose of the study is to fabricate a joint between two aluminium metal matrix composites using microwave hybrid heating (MHH).
Design/methodology/approach
Taguchi design of experiments was applied to conduct the experimental study. The mechanical properties such as ultimate tensile strength, micro-hardness and porosity were studied. Grey Relational Analysis was applied to understand the significance of fabrication parameters of best performing sample. The dominant factor of fabrication was analysed using ANOVA. The best performance sample was further characterised using X-ray diffraction and field emission scanning electron microscopy. Energy dispersive X-ray was used to analyse the elemental composition of the sample.
Findings
The Aluminium Metal Matrix Composite (AMMC) joint was successfully fabricated using MHH. The mechanical properties were mainly influenced by the fabrication factor of exposure time.
Originality/value
The formation of AMMC joint using MHH might explore the way for the industries in the field of joining.
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The purpose of this paper is to provide a case study of a global challenge: the relationship between commercial development and the protection of eco-fragile systems particularly…
Abstract
Purpose
The purpose of this paper is to provide a case study of a global challenge: the relationship between commercial development and the protection of eco-fragile systems particularly where river water is involved. It reviews and critiques the legal and political processes that underpinned the Commonwealth Games (CWG) 2010 in Delhi and the building of the accommodation Village on the floodplain of the river Yamuna.
Design/methodology/approach
The paper covers the controversial modern history of the Yamuna river that runs through Delhi. The river is “dead” and has been subject to litigation concerning its usage and that of its flood plain. In particular, the controversy peaked prior to the CWG 2010 in Delhi and the required buildings associated with the games. The paper traces the history of the legal actions and the inter-related involvement of the various actors being the politicians, construction developers, the river bank dwellers and the local environmentalists. Close analysis is made of the statutory administrative procedures required for environmental clearance, the subsequent case law both in the High Court of Delhi and the Supreme Court of India. Additionally, usage is made of the media and its concerns over corrupt and negligent practices.
Findings
The Indian judiciary in their willingness to promote the construction of the Village failed to apply its own environmental jurisprudence. There was a failure to “lift the veil” and review flawed administrative practices that violated governing statutes. National pride, time pressures, political support, economic interests and rapid urbanisation created a pressure that the courts could not challenge. It was left to investigative committees, after the Games had concluded, to expose these wrongdoings.
Originality/value
The paper highlights the issue of the relationship of the courts and political and economic interests and how legally protected ecological interests are ignored.
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Raka Saxena, Anjani Kumar, Ritambhara Singh, Ranjit Kumar Paul, M.S. Raman, Rohit Kumar, Mohd Arshad Khan and Priyanka Agarwal
The present study provides evidence on export advantages of horticultural commodities based on competitiveness, trade balance and seasonality dimensions.
Abstract
Purpose
The present study provides evidence on export advantages of horticultural commodities based on competitiveness, trade balance and seasonality dimensions.
Design/methodology/approach
The study delineated horticultural commodities in terms of comparative advantage, examined temporal shifts in export advantages (mapping) and estimated seasonality. Product mapping was carried out using the Revealed Symmetric Comparative Advantage (RSCA) and Trade Balance Index (TBI). Seasonal advantages were examined through a graphical approach along with the objective tests, namely, modified QS-test (QS), Friedman-test (FT) and using a seasonal dummy.
Findings
Cucumbers/gherkins, onions, preserved vegetables, fresh grapes, shelled cashew nuts, guavas, mangoes, and spices emerged as the most favorable horticultural products. India has a strong seasonal advantage in dried onions, cucumber/gherkins, shelled cashew nut, dried capsicum, coriander, cumin, and turmeric. The untapped potential in horticulture can be addressed by handling the trade barriers effectively, particularly the sanitary and phytosanitary issues, affecting the exports. Proper policies must be enacted to facilitate the investment in advanced agricultural technologies and logistics to ensure the desired quality and cost effectiveness.
Research limitations/implications
Commodity-specific studies on value chain analysis would provide valuable insights into the issues hindering exports and realizing the untapped export potential.
Originality/value
There is no holistic and recent study illustrating the horticulture export advantages covering a large number of commodities in the Indian context. The study would be helpful to the stakeholders for drawing useful policy implications.