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This paper aims to analyze the scholarly approach to examine the issues at the intersection of intellectual property rights (IPRs) and human rights (HRs) and ways to address, to examine broad categories of approaches used by the scholars in examining this conflict, their justification and to provide concrete directions for HRs framework of intellectual property.

The study conducted systematic literature review of 94 research articles published between 1996 and 2021, focusing on cross roads between IPRs and HRs.

The in-depth content analysis of 94 published research papers revealed the polarization of scholarly opinion on the HRs perspective of IPRs.

Very limited efforts were made in past to synthesize and organize scholarly research on the conflict between IPRs and HRs covering the right to education, to access information, to food, etc. besides the right to health care. This study synthesized and analyzed the scholarly research on the crossroad between IPRs and HRs, revealed critical conflict areas and collated the justifications of opposing approaches to provide inputs to international organizations, policymakers and governments for the enforcement of IPRs from the perspective of HRs.

Mobile crowd sensing (MCS) is a new paradigm enabled by Internet of Things (IoT) in which sensor-rich ubiquitous devices collect and share the data over a large geography. Human behaviour attributes (perception, comprehension and projection) play a key role in the decision-making process for sharing and processing the data. This study aims to understand how situation awareness plays an important role in MCS in an IoT ecosystem.

A systematic literature review was conducted by following a rigorous search protocol that identified a total of 470 peer-reviewed research papers. These papers were further filtered and finally 31 relevant papers were selected.

The major issues and concerns arising due to human participation in the MCS system were identified. Further, probable strategies were explored to deal with the challenges resulting due to certain human behaviour attributes.

This study provides the recommendations to address the major challenges related to the MCS system, which in turn may enhance the adoption of emerging smart technology-driven services.

The study is original and is based on the existing literature and its interpretation.

This paper aims to explore the factors inhibiting the internet adoption among base of pyramid (BoP) and to develop further insights of such factors.

Researchers used a mixed-method study with QUAL/QUAN sequence in this research. Given the dearth of research on the internet usage by the BoP segment in India, the authors began with the exploratory qualitative study. Semi-structured interviews in local language were carried out with the people belonging to the BoP segment in India using common interview protocol. Face-to-face interviews were conducted for 20-30 min with ten people. Thematic analysis (Braun and Clarke, 2006) was conducted on the interview transcripts which lead to five themes. These themes were identified as the potential inhibitors to the internet adoption by the BoP segment in India. This step was further followed by a confirmatory quantitative study.

The results confirm that the factors such as lack of digital literacy, complexity and language barrier play a significant role in inhibiting the internet adoption by the BoP segment. However, there is no impact of perceived risk and cost on the internet adoption. The significant relationship between lack of digital literacy and intention to use implies that if the BoP segment is capable to locate, evaluate and use digital information, it is more likely to use the internet. Similarly, the relationship between complexity and the intention to use suggests that if the BoP segment finds it easy to use and understand the internet, it is more likely to use it.

This research has the implications for government departments and policymakers that are responsible for promoting use of the internet. Therefore, such departments and policymakers are advised to channelize their effort on resting the digital literacy, especially in terms of internet adoption. Findings of this study show that digital literacy, complexity and language barriers are major inhabitants in the internet adoption. Directed and focused government policies and initiatives such as subsidized seminars and training programmes specially designed for the BoP segment can help in increasing internet adoption.

The adoption and use of the internet services by BoP have major implications for digital equality. Therefore, it would be important to explore the factors inhibiting the internet adoption among BoP.

This paper not only explores the factors inhibiting internet adoption among BoP in developing countries such as India but also provides deeper insights to these factors by collecting first-hand information from target segment. The finding of this research provides meaningful inputs to policymakers and also to industry to remove digital divide in the target population. This is how this research adds value to the existing knowledge available in this domain and it also provides agenda for future research.

A food delivery app (FDA) is a technological advancement connecting restaurants and consumers, making it possible to deliver food home conveniently. The current study seeks to identify the factors affecting consumers' continuance intention and sharing intention toward the FDA in the USA and Canada using an integrated framework built using trust transfer theory and a variety of constructs.

The authors collected data/inputs from 476 respondents in the USA and Canada who had used FDAs in the past and analyzed them using the structural equation modeling technique.

The results indicate that trust in FDA, trust in the user community and commitment affect continuance intention and sharing intention. Interestingly, trust in the seller does not influence commitment, continuance intention and sharing intention. Additionally, the trust disposition and reputation of the FDA play an important role in building trust in FDA.

The present study combines the trust transfer theory with various important constructs such as commitment, trust disposition and reputation of the FDA to build an integrated framework to elucidate the continuance intention and sharing intention toward FDAs.

This study facilitates the FDA providers to understand how trust disposition, the reputation of the FDA and trust in the Internet build trust among FDA consumers. The study also helps them to fine-tune their trust-building strategy by considering several trust targets. It further enables them to appreciate how commitment results in continuance intention and sharing intention toward FDA.

It is an original study investigating the role of various constructs and trust transfer theory in shaping the consumers' continuance intention and sharing intention toward the FDA.

The increasing importance of electronic health (e-health) has raised the significance of exploring the factors influencing the users’ acceptance of e-health applications. There has been an extensive usage of the technology acceptance model (TAM) in e-health applications acceptance research. However, not all TAM relationships are borne out in all the studies. There is a variation in predicted effects in several studies with different user type and application type. The purpose of this paper is to bridge a research gap by providing a holistic view of the e-health applications acceptance research by integrating the findings of existing relevant literature.

A statistical meta-analysis of the effect size of causal relationships between common TAM constructs was conducted on 111 peer-reviewed academic studies published in various journals.

The results confirm the validity and robustness of the TAM in e-health applications acceptance research. Further, a moderator analysis based on user type and e-health application type demonstrated that the effect size of causal relationships between TAM constructs majorly depends on the user type, but not on e-health application type.

This research provides a ready reference of the existing studies on e-health applications acceptance to the researchers. Further, if researchers or practitioners want to learn more about the particular user or application type, they may find the results valuable.

This research suggests that the general public can be used as the surrogates for patients in e-health applications acceptance research. The implementation strategy found successful for medical staff may not work for general public and patients. This research also suggests ways to enhance acceptance of e-health applications among different user groups.

The research is original and is based on the existing literature and its interpretation.

This study aims to investigate the external and internal stimuli, which affect the organismic experiences of the users and thereby influence their response in terms of behavioral intention toward the use of online doctor consultation platforms.

The study operationalized the stimulus–organism–response framework for the research model and surveyed 357 users in India who had experienced online doctor consultation platforms. The analysis has been done using the structural equation modeling approach.

The authors’ main results indicate the following key points. One, perceived usefulness, social influence, health anxiety, offline consultation habit and perceived technology usage risk are significant predictors of perceived value. In contrast, perceived ubiquity is identified to be an insignificant predictor of perceived value. Second, social influence and perceived technology usage risk have significant influence on trust. However, perceived usefulness is not a significant predictor of trust.

This study contributes to the theory by integrating technology-oriented factors with behavioral attributes for determining the behavioral intention of users toward the online doctor consultation platforms.

The managerial contributions of this study involve highlighting those technology-oriented and behavioral elements, which can be targeted to attract more users toward these platforms.

This is an original study that has looked beyond the role of technology-oriented factors in influencing the perceived value and trust elements while investigating the behavioral intention among the users toward the online doctor consultation platforms.

In mobile banking (m-banking), understanding the factors contributing to customer satisfaction is crucial for bank managers to design effective strategies for enhancing the uptake of mobile banking services. This study assesses the relationships between quality, technology acceptance and credibility factors and behavioural outcomes (actual use, continuance intention and loyalty) and satisfaction with m-banking. It further investigates the moderating influence of economy type, innovation level, connectivity level and sample size on all these relationships.

The study employs a meta-analysis technique and reviews 54 published studies to investigate the antecedents and consequences of satisfaction with m-banking.

The study finds a significant relationship between satisfaction with m-banking and quality, technology acceptance and credibility factors and behavioural outcomes. It concludes that the moderating effect of economy type, innovation level, connectivity level and sample size partially moderate the majority of the hypothesized relationships.

Drawing on a comprehensive literature review, this study presents a novel framework elucidating the antecedents and behavioural outcomes of satisfaction with mobile banking. It contributes to the literature by exploring the moderating effects of sample size and country context on the relationships between these factors, presenting important implications for future mobile banking research.

This study has practical implications for m-banking service providers, offering insights into the factors that drive user satisfaction with mobile banking and highlighting the need for tailored strategies in different country contexts.

This study examines the effects of factors leading to satisfaction and the subsequent outcomes within the context of m-banking. The findings offer fresh perspectives that can be valuable for managers and policymakers, enabling them to enhance customer satisfaction in the realm of m-banking.

This study aims to examine the factors (Stimuli) enhancing perceived utilitarian, social and conditional values (Organisms) of social commerce (s-commerce) platforms and their impact on small and medium enterprises’ (SMEs’) behavioral intention (Response) to adopt s-commerce.

Survey data were gathered from 304 Indian SMEs using s-commerce platforms. Data were analyzed using SmartPLS 3 software.

The results indicated that perceived values significantly impact SMEs’ behavioral intention to adopt s-commerce. Among conditional, utilitarian and social values, the conditional value of s-commerce sites was found to be the strongest motivator for SMEs to adopt s-commerce.

This research contributes to the growing literature on s-commerce, explaining how perceived value influences the decision of SMEs to adopt s-commerce platforms.

Among the significant influencers, perceived usefulness and perceived reputation were found to be the most effective triggers that stimulate perceived values of s-commerce sites. The findings draw due attention from policymakers toward environmental cues such as the legal and regulatory environment, which are instrumental in creating the most important perceived value for SMEs, i.e. conditional value.

By employing the inputs from the theory of consumption values and the Stimulus-Organism-Response framework, this original study looked beyond the technology factors and examined the role of perceived values of s-commerce platforms in shaping SMEs’ behavioral intention to adopt.

In mobile banking (m-banking), knowing and understanding trust-related factors can enable bank managers to design suitable strategies for enhancing its overall uptake. Based on this premise, the present study assesses the relationship of trust in m-banking with technology acceptance and use factors, quality factors, risk factors and a personal factor as well as behavioral outcomes. The study further investigates the moderating influence of Hofstede’s cultural dimensions on these relationships.

The present study synthesizes the outcomes of 63 quantitative studies on trust in m-banking by using the meta-analysis technique.

The study finds a significant relationship of trust in m-banking with technology acceptance and use factors, quality factors, risk factors, a personal factor and behavioral outcomes. Additionally, Hofstede’s cultural dimensions, namely power distance, individualism/collectivism, masculinity/femininity and uncertainty avoidance, significantly moderate the majority of the hypothesized relationships.

By reviewing the extant literature, this study provides a comprehensive framework that explains the antecedents and behavioral outcomes of trust in m-banking and determines how these relationships effectively vary across cultures.

The study helps m-banking service providers to understand how trust in m-banking can be enhanced. The study also shows which factors are more impactful in a particular culture.

This is an original study that contributes to the m-banking marketing literature.

Big Data has become crucial for fulfilling the vision of smart cities; however, there are several challenges associated with its use. This study aims to provide a holistic view of challenges of using Big Data in smart cities and the solutions to deal with them by systematically selecting, reviewing and synthesizing the literature in this area.

A systematic literature review was conducted by following a rigorous search protocol that identified a total of 310 peer-reviewed academic research papers. These papers were subsequently filtered and finally 38 relevant papers were selected.

A number of major challenges (human dynamics, privacy, security, volume, velocity, variety, veracity and value) associated with Big Data in a smart city and the respective solutions to address them were identified. This study primarily contributes in providing the process of effectively managing Big Data in smart cities.

The study provides valuable information to the Big Data practitioners by illustrating the process of effective management of Big Data in smart cities. This study further provides the directions to the future researchers.

The study is original and is based on the existing literature and its interpretation.