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Open government data (OGD) are considered as a technology capable of promoting transparency openness, and accountability, which in turn has a positive impact on innovation activities and creates responsive government, collaboration, cooperation, co-creation and participation. The purpose of this paper is to explore the adoption of OGD and open data portals among students, in an attempt to discover how governments can improve their actions in this respect.

This study develops a behavioural intention-based analysis using constructs from the Unified Theory of Acceptance and Use of Technology, which is supplemented with additional constructs that meet the purpose of the study. In total, ten constructs divided into 33 items constituted the input for our study. Input data for the developed model have been collected through a structured questionnaire distributed between bachelor's and master's level students in three countries – the Czech Republic, India and Latvia. A structural equation modelling technique was used to analyse the relationships between variables of the model and test the nine hypothesis defined.

Six constructs have been identified to facilitate significant relationships with behavioural intention. The analysis of the results of the three countries allows us to draw more objective conclusions in respect to the aim of the study and to reveal country-specific aspects that need to be addressed in the future.

This study adds to the existing literature few theoretical and practical aspects. It highlights the role of open data portals as a central point of OGD infrastructures. It enables governments to understand the relationships among the related constructs, improving their actions and modifying their data infrastructures accordingly.

In the course of worldwide COVID-19, the phenomenon of corporate social responsibility (CSR) gained more importance and publicity. Many organizations made a significant contribution in dealing with the crisis situation and even increased their spending on the welfare activities. This study aims to evaluate the attitude of community, especially young generation, towards the CSR undertaken by the organization during the pandemic period.

Descriptive research design has been employed using purposive sampling for data collection through a structured questionnaire. A sample of 550 was taken, and pilot survey was conducted among 100 respondents before administering it at full scale. A model has been proposed and tested by using structural equation modelling in AMOS.

The results of the study show that compulsory provisions of CSR have enhanced the trust of community and made the organizations more responsive towards philanthropic, legal, ethical and economic responsibility. The respondents were found to be aware about the welfare activities carried out by the organizations and developed a positive attitude towards them.

First, the study is limited to examining the attitude of community towards CSR, especially young generation. Second, it is difficult to say whether outcomes of this study can be generalized for such other potential global crisis. Third, the study is based on the Carroll’s “CSR Pyramid” framework when other such frameworks and approaches could be available to analyse the impact of COVID-19-related CSR initiatives. Last, this study has been conducted only in the state of Maharashtra, and results may not be applicable to other states as well other countries.

The findings of the study may help the organizations to plan their activities in line with the amendments made time to time. This shall also help the regulating agencies to monitor and catch the wrongdoers and take appropriate action. Findings of such studies, based on public opinion, can also help the governments to make further amendments, time to time, in related acts. It can also be said that with the involvement of public/society, more transparency can be brought in the functioning of the organizations, especially in the context of CSR.

Earlier, most of the organizations were falsely recording the CSR expenditure in their balance sheets without actually spending it, but the amendment in act has made it compulsory for the organizations to follow it honestly. The pandemic period gave an opportunity to the society to evaluate the organizations on these parameters and to make their opinion about them in real time. Therefore, it is concluded that pandemic has created awareness in the society and significantly influenced their attitude about CSR activities. This shall also help the organizations feel a pressure in future while planning and implementing the activities under CSR.

The results of the study show contribution of the corporate towards social welfare during pandemic. The results would help the policymakers to monitor the execution of practices more closely and organizations to execute their strategies in a more effective manner.

This study aims to explore the applicability of the sol-gel-derived GaN thin films for UV photodetection.

GaN-based ultraviolet (UV) photodetector with Pt Schottky contacts was fabricated and its applicability was investigated. The current-voltage (I-V) characteristics of the GaN-based UV photodetector under the dark current and photocurrent were measured.

The ideality factors of GaN-based UV photodetector under dark current and photocurrent were 6.93 and 5.62, respectively. While the Schottky barrier heights (SBH) for GaN-based UV photodetector under dark current and photocurrent were 0.35 eV and 0.34 eV, respectively. The contrast ratio and responsivity of this UV photodetector measured at 5 V were found to be 1.36 and 1.68 μA/W, respectively. The photoresponse as a function of time was measured by switching the UV light on and off continuously at different forward biases of 1, 3 and 6 V. The results showed that the fabricated UV photodetector has reasonable stability and repeatability.

This work demonstrated that GaN-based UV photodetector can be fabricated by using the GaN thin film grown by low-cost and simple sol-gel spin coating method.

The study aims to investigate the persistence of seasonal anomalies during religious holidays in emerging markets.

The authors select the Bombay Stock Exchange and National Stock Exchange stock returns from January 1990 to December 2022. The GARCH family models were adopted to examine the mean-variance returns associated with symmetric and asymmetric effects. The ARIMAX model is used to investigate the exogenous order during the pre-mandated and post-mandated trading holidays.

The results show that the persistence of returns and volatility during religious holidays significantly when subjected to specific religious holidays. The authors also found that volatility during religious festivals dipped during the pre-holiday and gradually increased after the events. The findings suggest that religious holiday anomalies exhibit a trivial significant effect on stock market returns and this effect is waning.

The findings provide investors and market regulators with a better understanding of market anomalies related to religious practices. During these periods, investors may experience substantial fluctuations in their portfolios, potentially leading to significant losses or payoffs. Investors can sustain substantial losses or payoffs and market manipulation by adjusting their strategies around religious holidays to account for potential volatility, albeit temporarily.

This study contributes to behavioural finance literature that suggests that beliefs and cultural aspects determine a country’s stock market inefficiency. To the best of the authors’ knowledge, no previous study has comprehensively examined threshold religious holidays across diverse religions in Indian market using long-memory data.

The purpose of this paper is to study the adoption and use of open source software (OSS) in the libraries of Institutions of National Importance (INIs) in India vis-à-vis their economic impact on adopting libraries. Besides, it aims to study the business model of OSS.

The paper analyses the adoption and use of OSS in the libraries of INIs, India, and their economic impact on the adopting libraries. An online survey was administrated to library professionals of INIs to know the adoption and use of OSS in their libraries and its acceptability. Descriptive statistics and Pearson’s chi-square are used in this study.

The findings of the study reveal that the libraries of INIs adopt and use OSS in integrated library system (ILS) (18.4 per cent), digital repository (95.2 per cent) and library website (65.5 per cent). Koha, DSpace, Drupal and Joomla! are the most favoured OSS among the libraries of INIs. The results reveal that favouring of OSS and having a policy on OSS by the libraries have a positive and significant relationship with their adoption and use of OSS in the libraries. The results of the study show that university libraries of India could save an estimated Rs 417m by adopting open source ILS such as Koha, Evergreen, NewGenLib and ABCD.

The paper will help decision makers to adopt and use open source ILS in their libraries.

This paper is the first of its kind that explores the economic impact of OSS on the adopting libraries and also explicitly discusses the business model of open source library software.

This study aims to establish the factors affecting the financial investment decision-making of an investor, with specific reference to investors’ emotions and how various events such as festivals, the pandemic and sports matches affect their investors’ investment decision-making. The authors further intend to understand the role of these investor emotions in creating stock market anomalies.

Twenty-nine semistructured exploratory interviews with fund managers from the top 10 asset management companies in India, who deal with individual investors regularly, were taken. The interviews were conducted to identify and describe the underlying ideas and sentiments that influence an individual’s investment behavior.

Although risk and return are the primary motivators of investment decisions, fund managers’ daily interactions with individual investors are affected by unpredictability and technical ambiguity, and investing is an inherently emotionally arousing process, according to the findings of the in-depth interviews.

To the best of the authors’ knowledge, this study is one of the first studies in Indian market to report the views of financial professionals about the emotional aspect of investors in making an investment decision. With most of the research conducted using quantitative methods, the current study brings in the perspective of financial professionals using primary data.

This study aims to explore the impact of the containment measures during COVID-19 on individuals’ finances, financial resilience during such distress and identifying the most financially vulnerable among them. Tracing such impact during the pandemic has been challenging due to a lack of representative data. This paper addresses this gap in the present study.

A survey has been conducted using a structured questionnaire containing various items that portray the impact on income, spending, saving, investment, borrowing, insurance and retirement. The sample consists of 699 respondents and purposive and snowball sampling has been used for data collection. The results are presented and analyzed using infographics and frequency distributions. This study conducts an analysis of variance and Chi-square tests for significance.

This paper finds a fall in income and limited ability to cope with the current economic conditions. The survey highlights inadequate savings and insurance, weak retirement planning, outstanding loans and under-diversified investments inhibiting financial resilience even among the higher-income group. Particularly, lower-income strata, women and not much educated are most financially vulnerable. Further, no substantial financial benefits have been received from the government and people rely on their usual income sources.

To the best of the authors’ knowledge, this is the first study that measures the pandemic’s impact on personal finances, especially in connection with a developing economy like India. Policy interventions are critical to the millions for whom financial literacy is required now more than ever.

Techniques for ingesting marketing data encompass systematically organizing, interpreting, and gathering information for practice in marketing analytics. This process starts with collecting data from numerous sources like sales records and customer interactions, followed by transforming and cleaning the data to guarantee accuracy and consistency. This chapter highlights the fundamental part of data ingestion in marketing analytics, underscoring its importance in transforming raw data into some useful insights. We study two types of data ingestion named batch ingestion and real-time ingestion and the practical implementation of ingestion in marketing analytics methods. By careful examination of these approaches, we aim to equip marketers with the tools and knowledge which is necessary for efficient utilization of data and authorize them to generate the decisions and implement that decisions in the data-centric business environment.

Based on the Social Exchange Theory (SET), the paper attempts to extend the research on the relationship between green self-managed teams and firm performance by exploring the serial mediation of extra-role green behavior and environmental performance. Furthermore, via moderated mediation, the study inspected the differences in relationships among these variables for manufacturing and service organizations.

Data of 407 respondents from 122 manufacturing and service organizations (having green self-managed teams) operating in India were collected using purposive sampling. Various statistical techniques like confirmatory factor analysis (CFA), correlations, multiple regressions and bootstrapping were employed.

The results indicated that extra-role green behavior and environmental performance served as serial mediators. Additionally, the nature of the organizations significantly moderated several indirect relationships, with one pathway found to be insignificant.

The study may be limited by the fact that the data were collected at a single moment in time rather than using a longitudinal design.

The study guides service organizations to attract environmentally conscious employees by promoting green self-managed teams and manufacturing organizations to enrich their operations and service delivery through such teams.

The study uniquely examines how green self-managed teams addressing environmental issues contribute to improved firm performance through mutual exchanges. It also advances existing literature by conducting a comparative analysis across manufacturing and service organizations in an emerging Indian market.