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A government website is considered as an electronic government service delivery system (eGSDS). The authors look at this eGSDS from its process point of view. This study aims to expand the existing knowledge of e-government adoption, and to identify the significance of eGSDS process to user satisfaction.

This study uses a quantitative technique using data collected from 197 respondents. Structure equation modeling has been used to test the model and the proposed hypotheses.

The findings indicate that as the eGSDS process improves, a user’s perception of the government website’s ease of use increases, leading to increased perceived usefulness, which increases user satisfaction. The findings also indicate that eGSDS process has a significant impact on perceived usefulness and user satisfaction. This study provides evidence that the technological capabilities embedded in the government website processes are an important factor in determining e-government service quality and ultimately e-government user satisfaction.

The sample used was sufficient for this study and allowed reasonable conclusions to be drawn, but cannot be considered representative of all e-government users in India. Further research may help to validate the findings and generalize the results to a wider population. This study extends the current literature that looks at e-government adoption. Academicians and information systems researchers may use these findings for further research.

The research provides evidence that the technological capabilities embedded in the eGSDS process are critical in adopting e-government services. Government or concerned agencies may consider eGSDS process attributes (e.g. navigation, searching and transacting) while designing e-government service to give improved experience to its user.

E-government websites have become an important point of contact with citizens for many public services. However, more study is needed to understand how Web-based technological capabilities of e-government services affect user satisfaction. This study is an attempt to explore the impact of the eGSDS process on e-government user satisfaction.

The purpose of this study is to explore the factors that enable citizens to adopt e-government services in India.

The study uses a qualitative approach by conducting semi-structured interviews.

The study reveals novel e-government adoption factors, namely, auxiliary facilities, corruption avoidance, transparency and fairness in process, customer support, connectedness and forced adoption, previously unexplored in e-government adoption literature. In addition, the results highlight 17 e-government adoption factors that strengthen the findings from previous literature.

This study was qualitative in nature, and rather than generalization, the focus was explicitly on obtaining an in-depth understanding. The sample used was sufficient for the purpose of this study and allowed reasonable conclusions to be drawn; however, it cannot be considered representative of a vast country like India. Academicians and information systems researchers can use these findings for further research.

The findings of this study provide useful insights into the decision-making process of e-government services users in India and similar emerging economies. These findings can be important for government officials tasked with providing e-government services.

Previous studies in the context of e-government adoption, so far, have tried to integrate adoption factors from previous technology adoption models. Hence, these studies have not been able to capture the complete essence of e-government characteristics. In addition, there are limited studies in e-government adoption in the Indian context.

The purpose of this study is to determine the factors that enable citizens to adopt e-government services at different maturity levels: information, two-way communication, transaction and political participation.

The study uses a grounded approach by conducting semi-structured interviews.

The study reveals that the factors influencing the adoption of e-government services vary at different levels. It identifies 27 influencing factors. In total, 13 of these factors influence adoption at the information level; 13 at the two-way communication level; 25 at the transactional level; and 16 at the political participation level. Auxiliary facilities, connectedness, corruption avoidance, transparency and fairness, customer support and forced adoption, not commonly discussed as influencing factors for e-government adoption in the extant literature, have been revealed in this study.

This study uses qualitative research and rather than generalization, the focus is explicitly on obtaining an in-depth understanding. Although the sampling used is sufficient for the purpose of this study and allows reasonable conclusions to be drawn; however, it cannot be considered representative of a vast country like India. Academicians and information systems researchers can use these findings for further research.

This study advances the understanding of e-government adoption. The findings have potential implications for public administrators and policymakers in successfully designing, developing and implementing e-government services at different maturity levels.

Existing e-government adoption theories are of limited scope and do not capture and specify the complete essence of citizens’ adoption characteristics at different levels of e-government services. Hence, a theoretical gap exists, which this study aims to fill.

The purpose of this study is to present Industry 4.0 technologies for advancing the circular economy (CE) adaption in manufacturing industry’s supply chain (SC) network. To pursue the same, Industry 4.0 technological aspects were recognized as solution measures to overcome the challenges for CE implementation in SC.

A new hierarchical framework containing 13 leading CE challenges and eight promising Industry 4.0 technological aspects had been proposed, representing their mutual relationship. The proposed framework was analysed using a hybrid approach of analytic hierarchy process (AHP) and combinative distance-based assessment (CODAS) under interval-valued intuitionistic fuzzy (IVIF) environment. The IVIF-AHP was used to acquire the priority weights of the CE challenges, whereas the IVIF-CODAS was used to attain the preference order of the proposed technological aspects.

The key findings of the present work indicate that “Information disruptions among the SC members due to multiple channels” and “Manpower inability to handle the toxic materials” are the two most critical challenges hindering the adoption of CE practices in SC. Along with, the results also demonstrate that to overcome these challenges, “Smarter equipment to empower flexibility and mass customization” and “Big data driven decision-making system” are the two most significant Industry 4.0 technological solutions, adoption of which might encourage the organizations to align their operations with CE philosophies.

The sample size of the experts engaged in work was limited; however, big data studies could be conducted in future to capture more insights of the stated topic. In addition to this, to understand the implication of CE on Industry 4.0-based manufacturing, a separate study can be synthesised in future.

The proposed work facilitates a new framework consolidating various perspectives associated with CE implementation into a manufacturing industry considering the scenario of Indian rubber industry. This study enables the decision-makers to recognize the challenging factors for CE implementation into their organizations and up-taking the proposed Industry 4.0 practices as technological measures for improving the organization overall performance.

The purpose of this study is to investigate the factors that influence direct and indirect adoption of e-government services in India.

A conceptual model has been proposed by integrating the factors influencing adoption of e-government services from extant literature. A quantitative technique is used for the purpose of the study.

The study classifies e-government adoption in two types: direct adoption and indirect adoption. The study has found that there is some difference between the factors influencing direct and indirect e-government adoption. Perceived awareness, perceived usefulness, trust in internet, trust in government and social influence are found to be positively correlated to direct and indirect e-government adoption. Availability of resources, computer self-efficacy, perceived ease-of-use, perceived compatibility, multilingual option and voluntariness are positively correlated to direct e-government adoption and negatively correlated to indirect e-government adoption. Perceived image is found to be significant for direct e-government adoption but non-significant for indirect adoption. Trust in intermediary is found to be significant only for indirect e-government adoption.

The sample size of 382 may not be a proper representation of a country like India, which has huge diversity and is densely populated. The study has been conducted in India, which is a developing country. The result might not be significant for developed countries.

The findings of this study provide useful insights into the decision-making process of e-government users in India and similar emerging economies. These findings can be important for government officials tasked with providing e-governance services.

Despite the digital divide, how the government is expecting its citizens to access e-government services and derive benefits and how the needy will be able to cope with the mandatory e-government services is an interesting topic to study. This leads to a new concept of indirect adoption.

The purpose of this paper is to prepare a methodology to evaluate availability analysis of distillery plant using Petri nets (PN). The effect of various failures, repair rate and availability of repair facilities on the system has been studied.

The PN model of a system is developed to study the dynamic behavior of the system under various working conditions. Availability analysis of the plant is presented taking into consideration of failure and repair rates of their subsystems and has been carried out using Monte Carlo simulation.

The bottle washing machine is the most critical machine from a maintenance point of view which has more compact on the system performance as compared to other machines. The availability analysis of distillery plant helps the management to adopt a suitable maintenance policy to improve upon plant production and plant availability.

The application of this proposed PN-based approach is very useful in finding the most critical subsystem and its effect on the performance of the system in terms of availability and plant production. Further, the advantage of the PN approach is that dynamic behavior of the system under consideration is modeled with graphic representation of the system and given distribution can be associated with the subsystems for analysis. The superiority of this approach over others, such as network, fault tree and Markov analysis, is outlined in the paper.

E-government quality (e-GovQual) and e-government user value (e-GUV) are multidimensional concepts. While previous studies have identified apparent factors influencing e-government satisfaction (e-GovSat) and e-government adoption intention (e-GovAI), such as e-GovQual and e-GUV, but they have neglected to explain the influence of the dimensions of these two concepts. The purpose of this research is to study e-government service value chain (e-GSVC) one-GovQual dimensions, e-GUV dimensions, e-GovSat and e-GovAI.

The study employs a quantitative method to test the hypotheses and validate the proposed model. Data are collected from 378 e-government users across different parts of India comprising of different demographic characteristics. The model is analyzed using structural equation modeling.

The findings highlight the impact of the dimensions of e-GovQual (efficiency, trust, reliability and citizen support) on the dimensions of e-GUV (functional, economic, social and emotional value) as e-GUV dimensions affect e-GovSat, which in turn influences e-GovAI. The results validate the e-GSVC and also stress the partial mediating role of the dimensions of e-GUV on the relationship between the dimensions of e-GovQual and e-GovSat.

The sample size of 378 may not be a proper representation of a country like India, which has huge diversity within its vast population.

The study offers practitioners a clear picture and a useful guide to better understand the drivers of value, satisfaction and adoption in the case of e-government users.

This study is probably the first attempt toward demonstrating the process influencing e-GovSat via e-GUV dimensions originating from excellent e-GovQual dimensions to ultimately trigger e-GovAI.

This paper seeks to examine the export competitiveness and concentration level of the 15 top sugar exporting countries over the last 18 years (2001–2018) with special reference to India.

First, the paper utilizes a review based approach and explains the structures of major sugar economies in context to protected and unprotected perspectives. Subsequently, empirical research was carried out to assess the competitiveness level of sugar using Revealed Comparative Advantage (RCA) approach and Hirschman Herfindahl Index.

The study found structural changes in cane or beet sugar, and molasses over the time period between 2006 and 2015. Further, the findings confirmed that despite the stringent regulations in European Union, the United States of America, Guatemala, Mexico, Thailand, China, and India, the comparative advantage is high up to seven to nine sugar categories. Besides, despite the indulgent regulations in the Colombia, Brazil, and Canada, the comparative advantage is only consistent up to two to three sugar categories.

This study provides an overview of competitiveness patterns of 15 sugar exporting countries and further compare their comparative and concentration levels. In this context, in future, it would be interesting to study the macro-economic and firm and industry-specific factors which may strengthen the study findings.

This study suggests that the sugar export of few countries (i.e. Mexico and Canada) is restricted up to their trade pacts and free trade zones which is restricting the competitiveness level and performance. Accordingly, such countries need to enlarge their business boundaries to foster their export competitiveness level. Rational subsidies and governmental assistance in diversification schemes in terms of products' range and sustainable processes can make India a consistent exporter in more categories.

Although, the previous studies attempted to examine the sugar industry with particular country context, this study enlarge the body of knowledge through simultaneously examining the sugar export scenario of fifteen sugar exporting countries and providing a broad comparative view of their competitiveness and concentration levels.

The purpose of this paper is to revisit the growth mechanism of Indian sugar industry by deploying quantitative and qualitative metaphors.

The research paper has been composed through comprehensive primary research survey using a structured questionnaire, and qualitative discussion following semi- structured interviews with industry professionals on emerging issues across the whole value chain of sugar industry. Respondents regarding primary survey were selected using the purposive sampling, and this collected quantitative information has been verified on the lenses of multiple stream modelling (MSM).

To support the data analysis, MSM – a policy-making framework has been developed which found that government being a central construct exerts a profound presence across whole value chain; in suppliers’ mechanism, marketing of sugar and sugar mills’ infrastructural expansions. Nationwide uniformity in sugar policy instead of states’ monopolistic policies, rational and mutual benefits-based decisions collectively by the government, mills management and sugarcane growers, and diversification in production processes are enumerated as the proposed solutions against the chronical industry problems.

This study enriches extant Asian sugar industry literature. For policymakers, the proposed results should be of help in identifying specific policies to support the competitiveness of local systems and individual manufacturing companies in the Indian sugar industry suggesting that the development of growth mechanisms can contribute simultaneously to improve the financial, market and operational performance of both individual firms and supply chains.

Cyclicality in production, rising sugarcane farmers’ problems and resulting severe financial distress of mills are some of the topical issues of Indian sugar industry, and the study has explored these issues factually, quantitatively and qualitatively in proximity of industry professionals and described in this depository with the help of document analysis.

The purpose of this paper is to help supply chain (SC) decision makers successfully penetrate through SC collaboration and strengthen their SC in the global market by understanding collaborative activities, and understand how these activities are related to each other in the SC.

This paper develops a set of collaborative activities from literature, and the developed model is helpful for SC decision makers to monitor their SC activities and take corrective actions to improve collaboration in their SC by using interpretive structural modeling (ISM) and MICMAC analysis.

This study reveals that collaborative activities increase the value of whole SC. The various activities are modeled on the basis of “an activity influencing other activities” and “an activity influenced by other activities,” which is useful for SC managers to take a decision.

The current study is literature based; therefore, there would be need of more explanation of the activities which lead to understand and implement SC collaboration in case of service and manufacturing industry.

The model of this study is helpful for decision makers to implement supply chain collaboration (SCC) and to understand various SCC activities on the basis of their driving and dependence power.

This research provided insight into skills needed for SC decision makers to implement collaboration in the SC using ISM. The results of the study could be adopted to monitor the existing SCC program or design new collaboration program to meet the global market requirements. To the best of knowledge, there is no reference that discusses SC collaborative activities on the basis of their driving and dependence powers.