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The applications of artificial intelligence (AI) in different sectors have become agendas for discussions in the highest circle of experts. The applications of AI can help society and can harm society even by jeopardizing human rights. The purpose of this study is to examine the evolution of AI and its impacts on human rights from social and legal perspectives.

With the help of studies of literature and different other AI and human rights-related reports, this study has taken an attempt to provide a comprehensive and executable framework to address these challenges contemplated to occur due to the increase in usage of different AI applications in the context of human rights.

This study finds out how different AI applications could help society and harm society. It also highlighted different legal issues and associated complexity arising due to the advancement of AI technology. Finally, the study also provided few recommendations to the governments, private enterprises and non-governmental organizations on the usage of different AI applications in their organizations.

This study mostly deals with the legal, social and business-related issues arising due to the advancement of AI technology. The study does not penetrate the technological aspects and algorithms used in AI applications. Policymakers, government agencies and private entities, as well as practitioners could take the help of the recommendations provided in this study to formulate appropriate regulations to control the usage of AI technology and its applications.

This study provides a comprehensive view of the emergence of AI technology and its implication on human rights. There are only a few studies that examine AI and related human rights issues from social, legal and business perspectives. Thus, this study is claimed to be a unique study. Also, this study provides valuable inputs to the government agencies, policymakers and practitioners about the need to formulate a comprehensive regulation to control the usage of AI technology which is also another unique contribution of this study.

The purpose of this study is to investigate the impacts of regulations and governance of artificial intelligence (AI) on personal data sharing (PDS) in the context of sociolegal, technology and policy perspective.

With the help of theories and literature review, some hypotheses have been formulated and a conceptual model has been developed. These are statistically validated. The validated model has been compared again using impact of regulation and governance of AI as a moderator. The validation has been done using survey by PLS analysis.

The study found that there is a high level of positive impact of regulation and governance of AI on the online PDS by the users.

This study has provided a statistical model which can provide the antecedents of PDS by the online users with the impact of AI regulation and governance as a moderator. The proposed model has explanative power of 92%.

The study highlighted that there is a necessity of having appropriate AI regulations so that users could share their personal data online without any hesitation. Policymakers and legal fraternity should work together to formulate a comprehensive AI regulation and governance framework.

To the best of the authors’ knowledge, there is no study on the impact of AI regulation and governance towards PDS and how it impacts on the security, privacy and trust of the online users.

The purpose of this study is to investigate the impact of artificial intelligence (AI) on the human rights issue. This study has also examined issues with AI for business and its civil and criminal liability. This study has provided inputs to the policymakers and government authorities to overcome different challenges.

This study has analysed different international and Indian laws on human rights issues and the impacts of these laws to protect the human rights of the individual, which could be under threat due to the advancement of AI technology. This study has used descriptive doctrinal legal research methods to examine and understand the insights of existing laws and regulations in India to protect human rights and how these laws could be further developed to protect human rights under the Indian jurisprudence, which is under threat due to rapid advancement of AI-related technology.

The study provides a comprehensive insight on the influence of AI on human rights issues and the existing laws in India. The study also shows different policy initiatives by the Government of India to regulate AI.

The study highlights some of the key policy recommendations helpful to regulate AI. Moreover, this study provides inputs to the regulatory authorities and legal fraternity to draft a much-needed comprehensive policy to regulate AI in the context of the protection of human rights of the citizens.

AI is constantly posing entangled challenges to human rights. There is no comprehensive study, which investigated the emergence of AI and its influence on human rights issues, especially from the Indian legal perspective. So there is a research gap. This study provides a unique insight of the emergence of AI applications and its influence on human rights issues and provides inputs to the policymaker to help them to draft an effective regulation on AI to protect the human rights of Indian citizens. Thus, this study is considered a unique study that adds value towards the overall literature.

This paper aims to explore factors impacting citizen intention toward artificial intelligence (AI) adoption, considering government regulation as a moderating variable. It focuses on the Palestinian Cellular Communications Sector in Gaza Strip, providing insights into the citizen-AI relationship dynamics. The research contributes to enhancing comprehension of AI technology from clients’ perspective.

To test the hypotheses, a questionnaire was used in an empirical study to collect primary data. In total, 347 Palestinian citizens responded to the survey.

The findings of this paper reveal that perceived usefulness, perceived ease of use, perceived risks, social influence, user experience and privacy and security concerns significantly influence citizen intention toward AI adoption. Furthermore, government regulations as a moderating variable strengthen the impact of perceived usefulness, perceived ease of use, perceived risks, social influence, user experience and privacy and security concerns on citizen intention toward AI acceptance and adoption. Thus, further research should explore specific domains and cultural contexts to gain a more comprehensive understanding of the factors shaping acceptance and adoption.

The findings of the study should be understood in the context of their limitations. First, the study ignored cultural or domain-specific subtleties in favor of generic characteristics, which calls for more research in these particular circumstances. Second, relying on self-reported data might result in biases and limitations due to subjectivity in reporting, indicating the necessity for alternate data gathering methods and approaches in future research.

Policymakers, developers and organizations working to promote the acceptability and implementation of AI applications should consider the practical implications of this study’s results. To secure the long-term use of AI technologies in a responsible and user-centric way, policymakers should give priority to public education and awareness, user-centered design and ethical AI development techniques. They should also stimulate partnerships and create monitoring systems.

This paper investigates the originality of factors that influence citizen intention toward AI acceptance and adoption. It uniquely examines the moderating role of government regulations in shaping this intention. By addressing this novel aspect, the paper contributes to advancing our understanding of the complex dynamics surrounding citizen intentions toward AI applications.

This paper aims to explore the level of hibah knowledge among Muslims in Kedah and investigate its determinants, consisting of education level, education stream, religiosity, social influence and social media.

This study is quantitative in nature. Questionnaires were distributed to collect data from Muslims in Alor Setar, Kedah. In total, 195 questionnaires were collected and data were analyzed using descriptive analysis, correlation analysis and multiple regression analysis.

The study finds that Muslims in Alor Setar, Kedah have good knowledge of hibah. Further, education stream, religiosity, social influence and social media were identified as significant factors that influence their knowledge of hibah.

The first limitation is its narrow focus in surveying Muslims only in Alor Setar, Kedah. The second limitation is the limited number of determinants used in investigating hibah knowledge among Muslims and the techniques used in analyzing the data. Despite these limitations, the study’s findings provide invaluable insights into the factors influencing hibah knowledge among Muslims in Alor Setar, Kedah.

This study provides insights regarding the significant personal factors and environmental factors to increase Muslims’ knowledge of hibah. The link between the Islamic education stream and hibah knowledge provides a clear indication that Islamic education can curb the economic problems caused by the substantial amounts of frozen and unclaimed assets in Malaysia. A significant relationship between the environmental factors (social influence and social media) and hibah knowledge also implies that the government and private agencies related to Islamic estate planning and management may use these significant determinants as part of the marketing strategy to increase the usage of hibah as an alternative tool for estate planning.

This study contributes to a better understanding of Muslims’ knowledge about hibah. The government and related agencies in Islamic estate planning and management can now gain better insights into Muslims’ level of knowledge about hibah and the factors influencing their knowledge of hibah as an effective tool for Islamic estate planning and management. Hence, more effective strategies can be recommended to enhance the knowledge of Muslims on hibah. The findings of this study should be of value to the government in its effort to address the increasing number of frozen estates in Malaysia.

This study aims to investigate the generalizability of Daniela Weismeier-Sammer’s (2011) replication study on entrepreneurial behavior and extended the model by considering the adoption of a technology platform as a moderator in the Indian family entrepreneurship community.

The earlier replication study was conducted in Austria, and this one has been conducted in India with 372 respondents of Indian family firms. The study has used the structural equation modeling technique for analysis purposes. The study has also used multi-group analysis for understanding the moderator impact.

Willingness to change, generational involvement, perceived technological opportunities and corporate entrepreneurship for the Indian family business community, along with strategic planning, as a moderating factor, formed the earlier model. In the context of strategic planning, this study observes a similarity, but due to the consideration of the additional moderator, the role of generational involvement has become insignificant.

This study adds value to the overall body of literature on the family business community, digital entrepreneurship and technology adoption in the family business community. The study provides valuable inputs on the digital entrepreneurship and family business firms which could be used by entrepreneurs, policymakers and practitioners for different purposes. The sample size is small and India specific so the proposed model cannot be generalizable.

This study has used replication and validation techniques in the digital entrepreneurship community and new venture creation in the Indian context. Very few studies have explored the digital entrepreneurship phenomenon in the Indian family business community context. Also, the use of adoption of technology platform as a moderator enhances the model from the earlier study. Thus, this study is deemed to be a unique research study.

The purpose of this study is to empirically examine the impact of Indian firms' intellectual capital on firm performance, as well as the moderating effects of age and gender therein.

The research initially develops a theoretical model, through extant works and theories, which is subsequently empirically validated using the partial least square structural equation modeling technique with 328 respondents from 12 Indian firms.

The study concludes that specific dimensions of firms' intellectual capital, including structural capital, human capital and customer capital, positively and significantly impact firm performance, which in turn provides the firm competitive advantages. The study also finds that there are significant moderating effects of age and gender on the relationship between firm's intellectual capital and firm performance.

Further to its evident contribution to scholarly knowledge and its provision of a validated model, which could be used in other emerging and developed markets as well, the research provides valuable practicable directions to firm executives regarding the importance and utilization of the structural, human and customer capital in improving firm performance and strengthening its competitive edge.

The study adds valuable knowledge to the body of literature on intellectual capital, through its explicit empirical findings, as well as through its focus on the significant emerging market of India.

The purpose of this study is to examine the dark side of instant messaging from the technological and societal perspectives.

With the help of literature review and different theories, a model has been developed conceptually. Later the model has been validated using statistical method. The authors have used 304 responses from the survey method, and this sample has been used to statistically validate the conceptual model.

This paper has been able to explicitly investigate and identify how different instant messaging platforms such as WhatsApp, WeChat in the form of electronic word of mouth (e-WOM) are contributing toward increase of mob lynching cases. The paper also highlights the important to have effective and enforceable regulation to regulate instant messaging services to the citizens.

The findings cannot be generalized as the data is collected from India only. Moreover, the study is cross-sectional in nature. To get the comprehensive results, a longitudinal study needs to be conducted. This study considered seven constructs with one moderator. Having more predictors with other boundary conditions might have increased the explanative power of the model.

Instant messaging platforms such as WhatsApp, WeChat and so on are disseminating quick unverified information to the common people. This information sometimes is disseminated in inappropriate and exaggerated forms. This makes the instant messaging (WhatsApp) users' sentiment readily heated in some cases. They take such an action as mob lynching. This study determines the predictors of mob lynching along with the moderator impact of instant messaging in the society.

There are only a few studies those have explored the dark side of instant messaging. The proposed theoretical model is a unique model, which shows the predictors of mob lynching along with the negative consequences of the instant messaging (WhatsApp) in the society. From this perspective, this study can be considered as a unique study.

The purpose of this study is to determine the antecedents of obesity among the younger generation of Indians (Generation Y) from a psychological and lifestyle consumer perspective. The study also investigates the moderating role of demography on the body mass index (BMI) of Indian youths.

The study initially develops a conceptual model, stemming from an extensive theoretical research, and subsequently validates this using structural equation modeling (SEM) technique with a sample size of 1,242 Indian youths.

The study concludes that consumers' food habits (FH) and physical activity (PA) positively impact consumers' physical health (PH), which influences their BMI levels (BLs). Anxiety (AX), depression (DE), stress (ST), peer pressure (PP) and work pressure (WP) impact individuals' mental health (MH), which also influences their BLs. Finally, there is a significant moderating impact of demographic factors, such as age (AG), gender (GE) and income levels (ILs) on the relationship between individuals' physical and MH and individuals' BLs.

This study proposes a new model which highlights the issue of youth consumer obesity from the psychological and lifestyle perspectives. The model is effective as it has a high explanative power of 73%. The study investigates consumer obesity from emerging market like India perspective, but the study does not examine consumer food consumption behavior and obesity from developed market perspective.

Youth obesity could be considered a global pandemic, and obesity rates among the Indian youth are also increasing. This study provides valuable inputs and understanding of consumer markets to policy makers, consumer protection institutions, organizations related to the food and beverage industry, healthcare workers and consumers themselves regarding the antecedents of youth obesity (BL) in developing and emerging markets.

The study adds value to the body of literature related to consumer obesity, FH, consumer psychology and lifestyle through findings that are new in terms of findings' specificity, contextual focus and explication. Moreover, the study extends the cognitive theory of DE and the theory of planned behavior (TPB). The research effectively offers significant theoretical and practicable market knowledge to both scholars and marketing practitioners, as well as policy makers and institutions dealing with youth obesity, particularly in emerging markets.

This study aims at assessing entrepreneurial business performance (EBP) from dynamic capability (DC) and technology-organization-environment (TOE) framework perspectives, taking support from crowdfunding.

With the inputs from the literature, supported by TOE framework and the dynamic capability view (DCV), a model has been proposed. This model has been tested by the factor-based partial least squares structural equation modeling (PLS-SEM) technique through a survey and quantifying the responses of 406 respondents on a five-point Likert scale has been used.

The study has found that crowdfunding support (CFS) has an effective influence on the improvement of EBP. Also, the DC supports to improve the EBP. Environmental dynamism (END) has also a critical role in impacting business performance.

Crowdfunding involves investors who have a similar interest in the business, close friends, family members, venture capitalists, investment groups, etc. Thus, the proposed model can be used by these stakeholders for investment purposes as well as for improving EBP. This study is a cross sectional research work which has limitations. Moreover, the sample size of this project is limited and did not include global respondents, Thus, the findings of this study cannot be generalizable which is another limitation of this study.

Crowdfunding involves investors who have a similar interest in the business, such as close friends, family members, venture capitalists, investment groups, etc. Thus, the proposed model can be used by these stakeholders for investment purposes as well as for improving EBP. The study can help policymakers understand the importance of crowdfunding in promoting entrepreneurship activities in a region, which helps in the economic development of that region.

This research work enriches the extant literature in the fields of crowdfunding and investment, DC and entrepreneurship. Not many studies have dealt with the issues of CFS for the improvement of EBP. Hence, this study may be considered novel. Moreover, the proposed research framework related to crowdfunding possesses a high predictive power. This makes the study unique.