Impact Of Social Influence Research Articles

Investigating the influence of perceived humanization of service encounters on value creation of chatbot-assisted services

PurposeWhile prior research has examined customer acceptance of humanized chatbots, the mechanisms through which they influence customer value creation remain unclear. This study aims to investigate the emerging concept of Perceived Humanization (PH), examining how hedonic motivation, social influence and anthropomorphism influence value creation through the serial mediation of PH and trust. The moderating roles of rapport and social presence are also explored.Design/methodology/approachBased on data from an online survey involving 257 respondents, this study employs Partial Least Squares Structural Equation Modeling utilizing SmartPLS3 software.FindingsHedonic motivation leads to value creation via two routes: PH and affective trust; and PH and cognitive trust. Social influence and anthropomorphism also positively impact value creation through similar pathways. Rapport moderates the impact of social influence on PH, while social presence moderates the relationship between PH and both affective and cognitive trust. A cross-cultural analysis of China, India and New Zealand highlights varying cultural dimensions influencing PH and its effects on value creation.Practical implicationsFor practitioners in the tourism industry, the findings highlight the strategic importance of enhancing PH in chatbot interactions. By understanding and optimizing these elements, businesses can significantly improve their customer value-creation process.Originality/valueThis study contributes to the service marketing literature by generating a comprehensive framework for the comprehension and application of PH. Its cross-cultural perspective provides rich insights, offering valuable information for service marketers aiming to thrive in the dynamic and competitive tourism industry.

Analysing the Impact of Social Influence on Electric Vehicle Adoption: A Deep Learning-Based Simulation Study in Jharkhand, India

The transition towards sustainable transportation, particularly in regions like Jharkhand, has gained paramount importance amidst escalating environmental concerns and evolving market dynamics. This study delves into the consumer psyche regarding green mobility adoption, aiming to decipher the critical factors influencing individuals' future intentions towards eco-friendly transportation options. Utilizing a comprehensive survey questionnaire, data was gathered from 300 respondents, focusing on variables such as awareness of green mobility, the perceived importance of environmental impact, social media influence, peer recommendations, availability of green mobility services, cost considerations, government support, convenience of green transportation, and awareness campaigns. The collected data underwent rigorous regression analysis to uncover correlations and predictive insights. The regression model revealed a notable R-squared value of 0.765, indicating a substantial portion of variance in future intentions is explained by the chosen predictors. Among these, variables like the perceived importance of environmental impact, government support, and convenience of green mobility emerged as statistically significant influencers, suggesting their pivotal role in shaping consumer behaviour towards sustainable transportation. Contrarily, factors such as social media influence, peer recommendations, availability of green mobility services, cost considerations, and awareness campaigns exhibited non-significant coefficients, implying a lesser impact on individuals' future intentions in this context. These findings bear significant implications for stakeholders involved in promoting green mobility solutions. Ultimately, this study contributes to the ongoing discourse on sustainable mobility by shedding light on the multifaceted dynamics influencing consumer decision-making using Python a deep learning simulation, thereby guiding strategic interventions for a greener, more eco-conscious future.

Selling mode choice and return policy for advance selling in an e-commerce platform with social influence

Advance selling is increasingly employed to mitigate demand uncertainty, raise consumer awareness of products, and even exert social influence on subsequent sales. However, consumers may hesitate to pre-order products due to uncertainty about product valuation. As a response, sellers have begun implementing return policies and utilizing online retail platforms to alleviate the uncertainty. This study aims to investigate the interaction between return policies for advance selling and selling formats of e-commerce platforms considering the impact of social influence. We examine a two-period platform supply chain that includes agency selling, reselling, and hybrid selling formats with and without return policies. Using game theory models, we analyze pricing decisions and profits of each player under six possible scenarios. The results indicate that the manufacturer consistently prefers adopting a Money-Back Guarantee (MBG) return policy regardless of the selling format. However, the MBG return policy is not always advantageous for the platform, except in the case of low social influence. In such a case, the platform may implement the MBG return policy to boost advance sales, thereby enhancing the penetration power from advance sales to regular sales. Regarding selling formats, the platform and the manufacturer opt for the reselling and agency selling, respectively, when the commission rate is low; otherwise, they adopt the agency selling and hybrid selling, respectively. Furthermore, we explore the impact of critical drivers on the pricing decisions and profits within the platform supply chain. Our study offers valuable insights into implementing return policies and determining selling formats.

Intention to Use FinTech Payments: The Perspectives of Benefits, Risks, and Openness to Change

Objective - The COVID-19 pandemic has significantly transformed many aspects of daily life, including the way payments are made. While the usage of cashless payments has increased, cash remains the main mode of payment in Malaysia. Therefore, this study aims to explore the factors driving the intention to use FinTech payments based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with the Value-based Adoption Model (VAM). Methodology/Technique – 546 usable responses were collected using a stratified sampling technique across 13 states in Malaysia. Then, structural equation modeling using the partial least squares approach was applied to test the hypotheses. Finding – The findings show that performance expectancy, effort expectancy, social benefit, privacy risk, and openness to change are the significant determinants of intention to use FinTech payments. Openness to change was found to be the most significant predictor of intention to use FinTech payments. However, the study failed to confirm the impact of social influence, economic benefit, security risk, and regulatory support on the intention to use FinTech payments. This study does not fully validate the significance of UTAUT and VAM constructs. Novelty – To the best of our knowledge, this is the first study that uses the UTAUT and VAM on intention to use FinTech payments together with openness to change and regulatory support. This is a framework that covers the decision-making determinants from the perspectives of benefits, risks, individual characteristics, and the external environment. Type of Paper: Empirical JEL Classification: G23, G28, G29 Keywords: FinTech Payment, Intention to Use, UTAUT, VAM, Benefits, Risks Reference to this paper should be referred to as follows: Chen, N.H; Habibullah, M.S; Sapar, R. (2024). Intention to Use FinTech Payments: The Perspectives of Benefits, Risks, and Openness to Change, GATR-Global J. Bus. Soc. Sci. Review, 12(3), 91–113. https://doi.org/10.35609/gjbssr.2024.12.3(1)

Understanding the predictors of health professionals' intention to use electronic health record system: extend and apply UTAUT3 model

BackgroundThe implementation of Electronic Health Record (EHR) systems is a critical challenge, particularly in low-income countries, where behavioral intention plays a crucial role. To address this issue, we conducted a study to extend and apply the Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) model in predicting health professionals' behavioral intention to use EHR systems.MethodsA quantitative research approach was employed among 423 health professionals in Southwest Ethiopia. We assessed the validity of the proposed model through measurement and structural model statistics. Analysis was done using SPSS AMOS version 23. Hypotheses were tested using structural equation modeling (SEM) analysis, and mediation and moderation effects were evaluated. The associations between exogenous and endogenous variables were examined using standardized regression coefficients (β), 95% confidence intervals, and p-values, with a significance level of p-value < 0.05.ResultsThe proposed model outperformed previous UTAUT models, explaining 84.5% (squared multiple correlations (R2) = 0.845) of the variance in behavioral intention to use EHR systems. Personal innovativeness (β = 0.215, p-value < 0.018), performance expectancy (β = 0.245, p-value < 0.001), and attitude (β = 0.611, p-value < 0.001) showed significant associations to use EHR systems. Mediation analysis revealed that performance expectancy, hedonic motivation, and technology anxiety had significant indirect effects on behavioral intention. Furthermore, moderation analysis indicated that gender moderated the association between social influence, personal innovativeness, and behavioral intention.ConclusionThe extended UTAUT3 model accurately predicts health professionals' intention to use EHR systems and provides a valuable framework for understanding technology acceptance in healthcare. We recommend that digital health implementers and concerned bodies consider the comprehensive range of direct, indirect, and moderating effects. By addressing personal innovativeness, performance expectancy, attitude, hedonic motivation, technology anxiety, and the gender-specific impact of social influence, interventions can effectively enhance behavioral intention toward EHR systems. It is crucial to design gender-specific interventions that address the differences in social influence and personal innovativeness between males and females.

An integrative research framework to investigate factors influencing citizen’s intention to adopt e-health applications: post-COVID-19 perspective

Purpose The use of e-health applications has remained popular during pandemic for medical treatments. Nevertheless, adoption of e-health applications among individuals is considerably low in post-COVID-19 world. To address this issue, the current research integrates three renowned theories, namely unified theory of acceptance and use of technology model, diffusion of innovation and DeLone and McLean model and investigates individual intention to adopt e-health application. Design/methodology/approach Research design is grounded in quantitative and cross-sectional methods and uses a survey questionnaire. Survey questionnaire is administered toward smartphone users. Overall, 238 valid responses were analyzed with structural equation modeling approach. Findings Results indicate that altogether performance expectancy, effort expectancy, information quality, system quality, service quality, facilitating condition and social influence explained substantial variance (R2 = 76.5%) in user intention to adopt e-health applications. Similarly, effect size analysis has revealed substantial impact of social influence on user intention to adopt e-health applications. Geiser and Stone’s Q2 analysis discloses that research model has substantial power to predict user intention to adopt e-health applications. Practical implications This study integrates three known information system models to investigate individual behavior toward adoption of e-health applications. In practice, it suggests that managers should pay attention in improving performance expectancy, social influence, facilitating condition, system quality, service quality and information quality which develop positive behavior and encourage smartphone users to adopt e-health applications. Originality/value This study is original as it integrates three models and investigates individual intention to adopt e-health applications. To the best of the author’s knowledge, this is the first study to test the moderating impact of patient health value between user intention to adopt and actual use of e-health applications. It has established that compatibility and innovativeness are essential antecedents of performance and effort expectancy and hence make this research more unique and valuable.

How Social Influence Promotes the Adoption of Mobile Health among Young Adults in China: A Systematic Analysis of Trust, Health Consciousness, and User Experience.

As mobile health (mHealth) offers several advantages in healthcare, researchers are exploring the motivational factors for its adoption. However, few studies have elucidated the complex relationship between social influence and behavioral intentions to adopt mHealth among young adults in China. This study explored the impact of social influence on young adults' behavioral intentions to adopt mHealth, the mediating roles of trust and health consciousness, and the moderating effect of mHealth user experience on the relationship between the predictors. In total, 300 valid responses were collected from a university in China, and a research model was developed. The partial least squares structural equation modeling method was used to verify the relationship between the main research variables. mHealth adoption behavioral intentions among young adults were significantly positively impacted by social influence; it indirectly increased mHealth adoption behavioral intentions by positively affecting trust and health consciousness. mHealth use weakened the positive impact of social influence on trust and health consciousness, while user experience positively moderated the relationship between health consciousness and behavioral intentions. Trust and health consciousness play important roles in the complex multivariate relationships between social influence and behavioral intentions to adopt mHealth. Future research should consider the moderating role of the mHealth user experience. These findings enrich the mHealth technology acceptance theory framework and provide specific guidance strategies for marketing mHealth applications.

Psychological factors influencing online booking intentions among resort tourism service users

PurposeThis study examines the psychological factors that directly influence individuals’ intentions to book or arrange reservations through resort hotel websites within the context of the Unified Theory of Acceptance and Use of Technology (UTAUT). Specifically, this study focused on identifying and understanding the key drivers of online purchase intentions, including performance expectancy, effort expectancy, social influence and facilitating conditions within the UTAUT model.Design/methodology/approachThis study used the UTAUT as a theoretical framework. A quantitative research approach was adopted and data were collected through surveys using a five-point Likert scale. The sample consisted of 270 participants, selected through purposive sampling. Data analysis was performed using Smart PLS software.FindingsThe results indicate that performance and effort expectancy significantly influence online purchase intentions. However, social influence did not significantly affect online purchase intention. By contrast, facilitating conditions significantly and positively influence online purchase intention.Practical implicationsThese findings have practical implications for hotel managers and marketers. Emphasizing performance, effort expectations and facilitating conditions can improve customer perceptions of website usefulness and directly increase their intention to book. The limited impact of social influence suggests the need to focus less on social recommendations or endorsements in online marketing efforts and prioritize individual factors and objective information.Originality/valueThis study contributes to the field of technology and tourism by examining the psychological factors that directly influence users’ intention to purchase from resort hotel websites. This extends the understanding of online purchase intentions in the context of resort tourism and highlights the importance of facilitating conditions. This study also partially confirms the applicability of the UTAUT model in this domain and provides insights for future research on online purchase intentions in resort tourism.

Role of Food and Dietary Choices in Shaping Health Behavior of Chinese Families

Objectives: The objective of this research was to determine the impact of food consciousness, and social influence on diet on the health behaviour of the public in China. Furthermore, this research also tested the moderating effect of health information on the relationship between food consciousness and health behaviour. Similarly, the moderating role of nutrition information on the relationship between social influence on diet and health was also tested by this study. Methods: This research employed survey-based questions to collect the data, and a sample of 282 respondents was considered for the finding. Results: The study found food consciousness as a significant factor that directly impacts the health behaviour of the public in China. However, the impact of social influence on diet remains negative and insignificant on the health paper of the public in China based on the statistical evidence. On the other hand, the moderating variables such as health information and nutrition information remain significant in influencing the causal impact between food consciousness, social influence on diet, and health awareness of the public in China. Conclusion: This study contributed considerable knowledge to the literature and reduced the inconsistency found in the previous studies. Furthermore, the study highlighted practical policy implications to influence the health behaviour of families in China.

The Influence of social media platforms on the formation and spread of consumer trends

Social media platforms are becoming essential for determining customer trends and behaviour in a variety of businesses. The impact of social media on the development and propagation of consumer trends is examined in this study paper. This article attempts to shed light on the dynamics of contemporary consumerism and its interaction with digital media by investigating the ways in which social media platforms affect consumer behaviour, as well as the function of influencers and algorithms. This study examines the mechanisms via which social media influences consumer behaviour, identifies important elements driving trend development, and evaluates the impact of social media on various industries by utilizing a mixed-methods approach that combines qualitative and quantitative analysis. This study attempts to give a thorough grasp of how social media shapes modern consumer trends through case studies and surveys. This study examines the complex effects of social media on consumer behaviour and trend creation using a mixed-methods methodology. While quantitative research looks at the statistical relevance of these elements in influencing consumption patterns and purchasing decisions, qualitative analysis investigates the impact of social influence, content virality, and user involvement in driving trends. The research's conclusions provide insightful information to companies, marketers, and legislators that want to use social media to better understand and influence customer behaviour. This thesis adds to a better understanding of the modern consumer landscape by thoroughly examining the impact of social media on trend formation and spread. It also offers helpful suggestions for modifying marketing tactics to accommodate changing consumer preferences in the digital era.

The Social Influences in Consumer-Brand Relationships: The Moderating Roles of Gender and Consumer Age

Brand love and brand loyalty are crucial factors in consumer-brand relationships. However, few studies have examined the impact of social influences on them. Using structural equation modeling, this study investigated the impact of interpersonal influence and celebrity endorser influence on brand love and brand loyalty, the mediating role of brand love between the two social influences and brand loyalty, and finally the moderating roles of gender and consumer age across these relationships. The results suggest that both the social influences have a crucial role in this context and brand love acts as a partial mediator in the association with brand loyalty. Gender did not play the expected moderating role. However, consumers’ age played a significant moderating role in the relationships between social influences and brand love.

Abstract TMP30: The Impact of Social Influences on Rehabilitation Services Utilization After Stroke

Introduction: Evidence supports that early initiation of rehabilitation is important for patient outcomes after stroke. Thus, determination of patients needing rehabilitation during their acute hospitalization is critical. We assessed the impact of demographic, clinical, and county-level social influences on rate of transfer to a rehabilitation facility after acute stroke hospitalizations. Methods: Using Get with the Guidelines-Stroke registry data and Institute for Health Metrics and Evaluation data, we fitted univariate and multivariate generalized linear mixed models (GLMM) with demographic, clinical, and social variables to determine how social influences of health impacted variances in transfers to rehabilitation facilities. Specific county-level variables assessed were related to education, income, employment, home ownership, and being foreign born. Results: Among 912,488 patients who were assessed or received rehabilitation services due to acute ischemic or intracerebral hemorrhagic stroke, 33.4% of them were transferred to rehabilitation facilities. Multivariate analyses of patient-level demographic and clinical variables achieved an Akaike Information Criterion (AIC) of 925780 (21.0% reduction from the base model) largely driven by clinical factors (mRS at discharge, initial NIHSS, and initial exam findings). When county-level variables related to social influences of health were incorporated, AIC decreased by 23.4% to 871806, indicating a better model fit largely driven by education level. Conclusions: Social influences of health impact transfer to rehabilitation facilities after acute stroke hospitalization. Future studies should focus on individual (versus county-level) metrics of social influences of health and their impact on access to rehabilitation. This information should be used to develop interventions to improve the equity of rehabilitation utilization after stroke.

Impact of Social Influence and Bandwagon Effect in Tourism Students: A Basis for an Action Plan

The researchers explored the influence of social factors, specifically social influence, and the bandwagon effect, on the travel choices of Bachelor of Science in Tourism Management (BSTM) students. Utilizing a quantitative approach with a descriptive research design, a self- constructed survey was distributed to BSTM students from Nueva Ecija University of Science and Technology. Stratified random sampling was employed, resulting in a sample size of 103 respondents. The study found that social media significantly influences the travel decisions of BSTM students, with many relying on travel-related content on platforms like Instagram, Facebook, and Twitter for inspiration and information. The bandwagon effect also plays a pivotal role in their travel choices, with students often swayed by the popularity and trends associated with certain destinations. However, the study found no significant variations in the impact of social influence and the bandwagon effect across different academic years. Based on these findings, the study proposes a comprehensive action plan to address these influences through awareness campaigns, personalized counseling, stakeholder collaboration, digital education, continuous research, capacity-building initiatives, community engagement, and regular reviews for ongoing optimization.

A Study on Influencing Factors on Users’ Intention to Accept Open Banking: Moderating Effect of Financial Literacy

Purpose - This study aims to explore the factors affecting users’ intentions regarding open banking. It extends the Unified theory of Acceptance and Use of Technology (UTAUT) by integrating perceived risk, initial trust, and financial literacy into the conceptual models. Since the government allowed open API access to the accounts of fintech firms and commercial banks, open banking has expanded rapidly in Korea from 2019. Understanding the factors influencing users’ intention to use this new system is important, given that open baking is still in the development stage.&#x0D; Design/methodology - Conceptual models were adopted from relevant literature and a string of hypotheses were developed. This study analyzed a data set of 439 Korean survey respondents and applied the initial trust model and the united theory of acceptance and use of technology(UTAUT) model.&#x0D; Findings - The results of the study show that performance expectancy, effort expectancy, and initial trust are the three major factors stimulating the use of open banking, whereas risks negatively affect its adoption. Financial literacy played a moderating role between these factors and the intention to use open banking. There was a difference in the impact of social influence on open banking users due to the degree of financial understanding. In addition, the moderating effect was verified according to the age group, the frequency of open banking use, and the number of accounts owned to check whether there are differences according to the characteristics of each group.&#x0D; Originality/value - This study is significant because it uses the level of financial knowledge as a moderating variable in users’ adoption of open banks, and is the first to investigate whether differences in users’ levels of financial knowledge affect their intention to use financial innovation.

A Study of the Influence of ESG Performance, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value and Habit on Tourists’ Behavioural Intentions towards Sports Complexes

This study aims to determine the structural relationships between environmental, social and governance (ESG) performance in sports complexes, along with external factors and motivations (social influence, facilitating conditions, hedonic motivation, price value, habit), with tourists’ behavioural intentions. Design/Method/Approach: To achieve this, a web- based survey was conducted, and after eliminating outliers, data from a total of 541 responses were analysed using the SPSS and AMOS statistical software packages. Findings: The research findings indicate a positive correlation between environmental and social performance in sports complexes, along with external factors and motivations (social influence, facilitating conditions, hedonic motivation, price value, habit), and tourists’ behavioural intentions. Hedonic motivation and habit have been identified as the most crucial. Additionally, past experience moderates the impact of social influence, facilitating conditions, hedonic motivation, price value and habit on tourists’ intentions. Conclusions/Recommendation: This study suggests that enhancing tourists’ hedonic motivation and cultivating consumer habits are crucial for improving tourists’ intentions to visit sports complexes. Furthermore, efforts should be directed towards improving sports complexes’ environmental and social performance, enhancing the social environment and convenience, and increasing their cost- effectiveness to boost tourist intention. Originality/Value: This research represents a significant revision of the UTAUT2 model, expanding its applicability. Moreover, it is the first attempt to employ ESG theory to explain tourists’ behavioural intentions in sports complexes.

Social influence processes within MMORPG guilds: a mixed-methods approach of nomological network analysis

PurposeFocusing on the social influence processes in the context of massively multiplayer online role-playing games (MMORPGs), this study aims to investigate the nomological network of social influence factors, a topic seldom explicitly articulated in the literature in this unique context.Design/methodology/approachThis study adopts a mixed-methods approach to develop and test a context-specific model of social influence processes in MMORPGs. First, the authors conducted qualitative interviews with MMORPG players to identify the drivers shaping players' perceptions of social influences. Second, the authors formulated and tested a research model with quantitative data collected from 450 respondents of an online survey.FindingsThrough the qualitative study, the authors identify leader enthusiasm, social support and social presence as the critical drivers of social influence factors. The result of the quantitative study validates the influences of the critical drivers and demonstrates the impact of social influences on MMORPG players' we-intention to continue playing games.Originality/valueThis research extends the social influence theory by identifying contextualized drivers that shape MMORPG players' perception of social influences determining their we-intention to continue playing games. MMORPG service providers can draw on these drivers to leverage social influences to increase players' we-intention of continuance.

Preliminary Concept of Alternative Agrarian Reform for Justice: The Social Tenure Domain Model (STDM) Approach to Constructing a Just Society in Indonesia

The implementation of agricultural reform comprises the enactment of access and asset reform. In order to ensure compliance with the aforementioned instructions, the Indonesian government issued Presidential Regulation Number 86 of 2018, which stipulates the commencement of agricultural reform as a means to support asset and access reform. The primary goal of access arrangements is to enhance access to finance and various forms of support to enhance welfare outcomes through land utilization. This particular methodology is frequently denoted as community empowerment. The normative juridical research technique, commonly known as library law research, perceives law as a normative system that possesses autonomy, independence, and distinctiveness from society. The methodology necessitates the utilization of a conceptual framework that incorporates a social tenure domain model and a legal perspective. The research findings indicate that the central concept of agrarian reform for justice entails implementing a comprehensive land administration system encompassing diverse land claims and rights through the utilization of the Social Tenure Domain Model (STDM) approach. The concept of the social method pertains to a theoretical framework that centers on the impact of social influences on human behavior. The notion of the STDM explores the interconnection between individuals and land.

Switch or continue to use? An empirical investigation into mobile payment applications

ABSTRACT Using a push-pull mooring framework, this study investigates the diverse factors that influence users’ intention to switch and continue using mobile payment applications (apps). A survey comprising 180 respondents based in Hong Kong was conducted. The results demonstrate that users’ intention to switch is influenced by their dissatisfaction with system quality, perceived benefits, and social influence. Conversely, their intention to continue using their current mobile payment apps is associated with inertia. Furthermore, users who have used their current mobile payment app for three years or more comprise an active switching group, whereas those in the high-income group show the highest inertia and willingness to continue using it. These findings enrich the push-pull mooring framework by incorporating switching and continued use intentions, thus providing a more comprehensive understanding of the impact of social influence and other factors on user behaviors. Furthermore, this study provides insights into the impact of user characteristics on mobile payment app usage, which can benefit application providers in developing tailored promotions, referrals, and retention campaigns to meet the needs and expectations of different user groups.

The Influence of Economic Perception on the Adoption of App-based Financial Transactions: A Study Among the Young Population in India

Various sectors have been undergoing major changes due to digitalisation. Among these sectors, the finance sector is one which is largely affected due to online banking, cash to cashless, and so on, and digital finance instruments in India have witnessed a revolutionary change over the last decade. By financial instrument, we refer to the various digital financial apps which are used for online cashless transactions such as Paytm, Google Pay, Amazon Pay, PayZapp and so on. The primary emphasis of this research is on the wide range of digital financial instruments and their subsequent adoption in India, based on a survey conducted on 600 individuals (young) from July to October 2021. The study will offer brief discussions of the advantages of utilising these instruments, the challenges of using these instruments, other variables that are keeping individuals from using these apps, and so on. Questionnaire distribution and collection is the major data-gathering approach used to learn about people’s views on these financial products. Attitude, perception and social norms are briefly reviewed and analysed as they pertain to the individual’s decision and intention to utilise digital apps. Following the expected utility theory people are rational, and we find evidence that during economic crises economic entities behave differently and economic incentives may not often work if they have a strong negative perception of the economy. Our result strengthens these arguments, it reveals that economic perception considerably moderated the connection between perceived usefulness and mobile apps for money transactions (MAMT) use implying that economic perception strengthens the impact of the independent variable. On the other hand, the result shows that economic perception significantly weakens the impact of social influence on the usage of MAMT. However, the perceived economic crisis has no moderating impact on the relationship between perceived ease of use and usage of MAMT. This has something to do with innovation, and creating intrinsic product or service-based value addition that hardly changes with the economy’s perception—whether it is in crisis or a business-as-usual. The present study in the Indian context contrasts with most of the literature that concludes based on pre-COVID scenarios, and, thus, has wider business implications in the new-normal world. Mobile app developers now should emphasise factors while optimising and designing their pricing and promotional strategies.

Vehicular social aspects in data dissemination of urban critical events with QoS and QoE for supporting emergency response

AbstractCritical urban events impact the city agenda, like sustainable urban mobility, safe transportation, and efficient governance, thus leading many times to social disturbance, environmental degradation, and economic and human losses. Such events demand efficient dissemination of their data to the authorities to take rapid and effective actions to minimize their effects. The Social Internet of Vehicles (SIoV) paradigm can aid in monitoring such events in time and space. Vehicles are suitable for monitoring random events in space and time due to their ubiquity. Simultaneously, social relationships between vehicle users establish local communities where social intelligence can help disseminate data collected by VANET to support public management in event recognition. Thus, this article proposes a distributed and robust QoS/QoE aware, social‐based data dissemination solution for critical urban events and investigates how social parameters influence the quality of data dissemination. The impact of social influence, social activity, and friendship strategies was analyzed by simulation. The results show the gains in QoS when using social activity and in QoE subjective metrics when employing social influence.