Personal Online Research Articles

Marketing Signals Influencing Consumer Trust in Online Purchase Context: An Empirical Paper

Consumer trust is crucial in online purchase decisions, particularly for luxury goods as it involves few risks such as authenticity status, information asymmetry and the nature of online shopping which is absence of feel and touch. Based on signaling theory, this study aims to analyze four factors known as marketing signals which are brand reputation, online reviews, money-back guarantee and site aesthetics on consumer trust in the context of online purchase of personal luxury goods. Using SPSS and AMOS, this study analyzed 214 data collected from consumers in Malaysia who intend to purchase or has experience purchasing personal luxury goods online through either one of various online platforms such as official brand website, third-party platforms and social media commerce. The results from the analysis showed that brand reputation and online reviews positively and significantly influence consumer trust. However, money-back guarantee and site aesthetics were found to have non-significant influence on consumer trust. Luxury marketers must ensure to build strong brand reputation in order to gain consumer trust to purchase online. In addition, luxury marketers can also consider incorporating online reviews in their own unique way to enhance consumer trust while maintaining the luxury identity online.

Tibetan food customization mini-program study

One of China's distinctive culinary traditions, Tibetan cuisine is currently beset by a number of issues, including a disconnect between traditional catering and contemporary lifestyle, a low penetration rate, and the relative backwardness of traditional ordering practices with respect to informationization and intelligence. We create and implement a personalised Tibetan food system called "Intelligent Tibetan Food" as a small programme to address these issues. The system aims to enhance user satisfaction and convenience by offering personalised recommendations, online ordering, dish introduction, and other features through extensive research and analysis of Tibetan food culture, mobile Internet technology, and artificial intelligence algorithms.

How Do Personal Opinions Relate to Online Expressions? An Experimental Study Among Muslim Minority Groups in The Netherlands

There has been much debate about how cultural differences between ethnic groups may affect the cohesion of multicultural societies. Still, we know little about the extent to which cultural differences between groups also materialize into behavioral differences, especially in online settings. To study this, we conducted an experiment in which second-generation Moroccan and Turkish Dutch participants first indicated their personal opinion on sexual liberalism, and then participated in discussions on this topic on an online platform. On the discussion platform, participants were randomly assigned to either a progressive, conservative or mixed online discussion. Overall, we found that the convergence between personal opinions and online expressions was stronger for progressive than for conservative participants. Additionally, conservatives (but not progressives) were less likely to express their personal opinions, and more likely to deviate from their personal opinions, when they were exposed to an incongruent versus congruent online environment.

Tradeoffs Between Maize Importation and Reliance on Local Production: A Case of Commercial Maize Millers in Kenya

The supply of maize in Kenya has often fallen short of the demand resulting to an influx of cheap maize imports from neighboring countries. Tradeoffs thus arise among commercial maize milling firms whether to import or use locally produced maize in their operations and which alternative maximizes their income. This study aimed to determine the effect of tradeoffs between maize importation and reliance on local production on the income of commercial maize milling firms in Kenya. Data was collected from 106 commercial maize milling firms that produced packaged maize flour. A census of the entire population was employed and a semi-structured questionnaire used to guide personal interviews and online surveys with the respondents. Data was analyzed using descriptive analysis, gross margins and two-stage least square regression. Results indicate that firms that used locally produced maize only were majorly micro to medium-scale, had relatively low-skilled employees, lower production capacity and employed relatively less sophisticated technology. Firms that used locally produced maize only in their operations realized higher incomes and lower cost of procuring maize monthly compared to firms that used both locally produced and imported maize. Additionally, the determinants of firm’s income were the miller’s decision on maize source, total number of employees, total cost of maize, mean monthly sales and mean production costs. Therefore, government policies should be geared towards lowering the cost of procuring maize from both local and import sources. These include reviewing import duties on food grain, streamlining cess collection across counties and improving road infrastructure.

DeLone and McLean Model Analysis of Success Factors of SIDEMANG Application in Palembang City

Indonesia is ranked 77th in the world in electronic-based government systems, especially the City of Plembang is ranked 89th regarding the evaluation of smart city improvement in Indonesia. One of the latest applications used in the past year is the SIDEMANG application, which is an information system that has the use and purpose of facilitating access to administrative services related to personal and agency licensing files online at the village and sub-district levels in Palembang city, but this is also not free from obstacles, especially internet signals. Therefore, an analysis is needed related to the implementation of Information Systems, to assess the success of applications that have been implemented, especially government digital services. DeLone and McLean Information System Success Model is used, to see the significant factors that cause the success of Information System implementation. The data analysis method used in this research is quantitative because the data collected is in the form of numbers and will be analyzed using the SmartPLS application statistical technique, using a sample size of 97 respondents. The results showed that the information quality factor was not significant to the intention or use of the application, the system quality factor was not significant to the intention or use of the application, the system quality factor was not significant to user satisfaction, the service quality factor was not significant to user satisfaction. Recommendations for the Palembang City Communication and Information Office are related to the evaluation and improvement of the SIDEMANG application using the DeLone and McLean Model analysis. In particular, improvements to the quality of information that can influence citizens to use the application, improvements to the quality of the system that can invite and satisfy users in using the application, and improvements to service quality factors on citizen satisfaction.

Developmental Trajectories of Cybervictimization Among Canadian Adolescents: The Impact of Socializing Online and Sharing Personal Information

ABSTRACTThe goal of the present study was to investigate the developmental trajectories of cybervictimization, as well as to identify how risk factors such as the sharing of personal information online and engaging in online socializing was related to cybervictimization from age 13 to 16 for Canadian adolescents. Participants included 354 adolescents from the Lower Mainland of British Columbia who were in Grades 6 and 7 at Wave 1 of the study (193 boys, Mage = 13.65 years, SD = 0.71 year). Three years of longitudinal data on cybervictimization, sharing personal information online and time spent socializing online were collected from self‐reports surveys. Results from latent class growth analysis identified three different trajectories of cybervictimization: a moderate‐increasing trajectory (49 adolescents, 12.7% of the sample), low‐increasing trajectory (292 adolescents, 75.8% of the sample) and high‐decreasing trajectory (13 adolescents, 3.44% of the sample). Adolescents who reported higher scores on sharing personal information and socializing online were more likely to be in moderate‐increasing subgroup. This study makes a substantial contribution to our understanding of the developmental trajectories of cybervictimization in a Western context, from late childhood through to early adolescent.

Performance evaluation of MeteoTracker mobile sensor for outdoor applications

Abstract. The morphological complexity of urban environments results in a high spatial and temporal variability of the urban microclimate. The consequent demand for high-resolution atmospheric data remains a challenge for atmospheric research and operational application. The recent widespread availability and increasing adoption of low-cost mobile sensing offer the opportunity to integrate observations from conventional monitoring networks with microclimatic and air pollution data at a finer spatial and temporal scale. So far, the relatively low quality of the measurements and outdoor performance compared to conventional instrumentation has discouraged the full deployment of mobile sensors for routine monitoring. The present study addresses the performance of a commercial mobile sensor, the MeteoTracker (IoTopon Srl), recently launched on the market to quantify the microclimatic characteristics of the outdoor environment. The sensor follows the philosophy of the Internet of Things technology, being low cost, having an automatic data flow via personal smartphones and online data sharing, supporting user-friendly software, and having the potential to be deployed in large quantities. In this paper, the outdoor performance is evaluated through tests aimed at quantifying (i) the intra-sensor variability under similar atmospheric conditions and (ii) the outdoor accuracy compared to a reference weather station under sub-optimal (in a fixed location) and optimal (mobile) sensor usage. Data-driven corrections are developed and successfully applied to improve the MeteoTracker data quality. In particular, a recursive method for the simultaneous improvement of relative humidity, dew point, and humidex index proves to be crucial for increasing the data quality. The results mark an intra-sensor variability of approximately ± 0.5 °C for air temperature and ± 1.2 % for the corrected relative humidity, both of which are within the declared sensor accuracy. The sensor captures the same atmospheric variability as the reference sensor during both fixed and mobile tests, showing positive biases (overestimation) for both variables. Through the mobile test, the outdoor accuracy is observed to be between ± 0.3 to ± 0.5 °C for air temperature and between ± 3 % and ± 5 % for the relative humidity, ranking the MeteoTracker in the real accuracy range of similar commercial sensors from the literature and making it a valid solution for atmospheric monitoring.

Anxiety on the internet: Describing person, provider, and organization online posts

Anxiety is a pervasive phenomenon in contemporary society. With increased internet use in recent years, more people in the general population are seeking and providing help and participating in community online. The goal of our study was to evaluate the content of internet narratives among those who post about anxiety and determine what stakeholder groups are saying online. We used the bifurcated method; it is a multi-method (qualitative) approach with inductive, thematic analyses, and with quantification of content-related words via a computer program that crawls websites and counts the occurrences of specified terms (for cross-checking purposes). Themes of posts and webpages about anxiety were: using/reporting treatment strategies (83.3% saturation), providing help (77.8% saturation), telling personal stories (72.2% saturation), seeking help (61.1% saturation), and illustrating interpersonal impact (50% saturation). We argue that anxiety stakeholders may take part in health co-inquiry online (i.e., cooperating with others) in many of the same ways that they might collaborate in person. We recommend that clinicians query their clients about use of the internet in ways related to their anxiety (e.g., seeking information/treatment strategies, offering help to others, telling their personal stories, etc.) so that they might help them process what they experience online.

Navigating brand equity in personal care: Examining the influence of direct-to-consumer brands and the mediating power of brand image

The COVID-19 pandemic triggered consumers to buy products online, leading to unprecedented and unforeseen growth in the e-commerce sector. Therefore, the revolution made by Direct-to-consumer (DTC) brands went unnoticed. Unlike the conventional approach, which took years to build brand trust and equity, the DTC business model allows companies to grow exponentially with their presence in personal care online marketplaces. Therefore, the rise of DTC brands empowers small and medium enterprises (SMEs) and micro small and medium enterprises (MSMEs) in India, mainly because the return on ad spend (ROAS) for these brands is a huge problem when compared to giant companies. Also, branding in tier 2 and tier 3 markets has triggered new hurdles as consumers need to build brand trust to pay or transact online. The present research examines how a DTC website and electronic word-of-mouth (eWOM) can enhance the effectiveness of branding for direct-to-consumer brands. The study employed a quantitative methodology by analyzing the survey-based research design, with 389 respondents who were aware of and/or used DTC personal care brands in India participating. The present study’s findings demonstrate that website attractiveness and electronic word-of-mouth enhance DTC brands and minimize costs developed to advertise a product, increasing ROAS. Further research studies would broaden DTC brands' knowledge by investigating the impact of e-commerce and social media channels on enhancing consumers' brand equity or purchase intention.

A face of one’s own: The role of an online personae in a digital age and the right to control one’s own online personae in the presence of digital hacking

In the post-Covid world, our online personae have become increasingly essential mechanisms for presenting ourselves to the world. Simultaneously, new techniques for hacking online personae have become more widely available, easier to use, and more convincing. This combination, of greater reliance on online personae and easier malicious hacking, has created serious societal problems. Techniques for training users to detect false content have proved ineffective. Unfortunately, legal remedies for dealing with hacked personae have also been inadequate. Consequently, the only remaining alternative is to limit the posting of false content. In this discussion paper, we provide an overview of online personae hacking. As potential remedies, we propose to redesign search engine and social media algorithms allowing platforms to detect and restrict harmful false content and a new fundamental right for the EU Charter that would provide legal justification for platforms to protect online reputations. For those platforms that might choose not to protect online reputations, this new right would require that they do so.

Online and Unkind: Examining the Personality Correlates of Online Political Incivility

Many forms of online political incivility threaten democratic norms, contribute to polarization, and are often directed at women and racial minorities. Recent research shows that online political incivility may come from a minority of users that are just as hostile offline as they are online, meaning that individual differences in personality traits may be an important predictor of online political incivility. Drawing upon a large sample of adults living in Canada (N = 1725), we examined the association between personality traits and online political incivility using robust measures of psychopathy, narcissism, Machiavellianism, and the general traits of the HEXACO. While controlling for a variety of sociodemographic and political variables, we found that people who score higher in honesty-humility, agreeableness, and conscientiousness, as well as the planfulness facet of Machiavellianism, are less likely to report engagement in online political incivility. People who score higher in extraversion, several facets of psychopathy, grandiose and vulnerable narcissism, and antagonistic Machiavellianism, by contrast, are more likely to report engagement in online political incivility. In general, the personality traits that predict offline aggression and antisocial behaviour tend to be the same traits that predict self-reports of vulgarity, stereotyping, and threats in online political discussions. Interventions to reduce online incivility may benefit from considering the dispositional tendencies of uncivil users.

Harnessing Machine Learning to Unveil Emotional Responses to Hateful Content on Social Media

Within the dynamic realm of social media, the proliferation of harmful content can significantly influence user engagement and emotional health. This study presents an in-depth analysis that bridges diverse domains, from examining the aftereffects of personal online attacks to the intricacies of online trolling. By leveraging an AI-driven framework, we systematically implemented high-precision attack detection, psycholinguistic feature extraction, and sentiment analysis algorithms, each tailored to the unique linguistic contexts found within user-generated content on platforms like Reddit. Our dataset, which spans a comprehensive spectrum of social media interactions, underwent rigorous analysis employing classical statistical methods, Bayesian estimation, and model-theoretic analysis. This multi-pronged methodological approach allowed us to chart the complex emotional responses of users subjected to online negativity, covering a spectrum from harassment and cyberbullying to subtle forms of trolling. Empirical results from our study reveal a clear dose–response effect; personal attacks are quantifiably linked to declines in user activity, with our data indicating a 5% reduction after 1–2 attacks, 15% after 3–5 attacks, and 25% after 6–10 attacks, demonstrating the significant deterring effect of such negative encounters. Moreover, sentiment analysis unveiled the intricate emotional reactions users have to these interactions, further emphasizing the potential for AI-driven methodologies to promote more inclusive and supportive digital communities. This research underscores the critical need for interdisciplinary approaches in understanding social media’s complex dynamics and sheds light on significant insights relevant to the development of regulation policies, the formation of community guidelines, and the creation of AI tools tailored to detect and counteract harmful content. The goal is to mitigate the impact of such content on user emotions and ensure the healthy engagement of users in online spaces.

Social4Fashion: An intelligent expert system for forecasting fashion trends from social media contents

The fashion field is continually expanding and evolving, and social media play a significant role in shaping current fashion trends through the influence of online personalities, such as influencers. As a result, fashion designers often turn to social media to gain insights into the latest trends and draw inspiration, while in the past they used to physically visit fashion districts. To automate and speed up this process, an expert system is much needed; thus, Social4Fashion has been created, an end-to-end framework that leverages deep learning-based techniques in order to support creatives in their research and decision-making process, with the final goal of analyzing and predicting trends. This system employs several steps, starting with the automatic data collection from Instagram, using hashtags provided by domain experts. Next, retrieved images are filtered to remove non-fashion related pictures, leaving only those pertaining to the fashion area for further processing. Then, to obtain more specific information about the images, the handbags present (if any) are detected and classified, based on their type; finally, dominant colors of the handbags are retrieved through clustering on the images. All the data collected with this system are then stored and analyzed via user-friendly dashboards, created with the objective of highlighting relevant information, in order to perform analysis on current and future fashion trends. Results show the effectiveness of the proposed system, with an accuracy of 97% (95% confidence interval 0.95–1) for the fashion image classification and a mAP of 0.77 (95% confidence interval 0.73–0.82) for the handbag detection, which makes it suitable for fashion domain analysis. Also, as a result of this work, a novel fashion-related dataset has been made available to the research community. This system can greatly improve the way fashion trends are analyzed, and allow for more efficient and effective design processes in the future.

Evaluating the Use of Hypothetical 'Would You Rather' Scenarios to Discuss Privacy and Security Concepts with Children

Children are exposed to technology at home and school at very young ages, often using family mobile devices and educational apps. It is therefore critical that they begin learning about privacy and security concepts during their elementary school years, rather than waiting until they are older. Such skills will help children navigate an increasingly connected world and develop agency over their personal data, online interactions, and online security. In this paper, we explore how a simple technique---a ''Would Your Rather'' (WYR) game involving hypothetical privacy and security scenarios---can support children in working through the nuances of these types of situations and how educators can leverage this approach to support children's privacy and security learning. We conducted three focus groups with 21 children aged 7-12 using the WYR activity and interviewed 13 elementary school teachers about the use of WYR for facilitating privacy and security learning. We found that WYR provided a meaningful opportunity for children to assess privacy and security risks, consider some of the social and emotional aspects of privacy and security dilemmas, and assert their agency in a manner typically unavailable to children in an adult-centric society. Teachers highlighted connections between privacy and security dilemmas and children's social and emotional learning and offered additional insights about using this WYR technique in and beyond their classrooms. Based on these findings, we highlight four opportunities for using WYR to support children in engaging with privacy and security concepts from an early age.

'My doctor self and my human self': A qualitative study of physicians' presentation of self on social media.

When using social media, physicians are encouraged and trained to maintain separate professional and personal identities. However, this separation is difficult and even undesirable, as the blurring of personal and professional online presence can influence patient trust. Thus, it is necessary to develop policies and educational resources that are more responsive to the blurring of personal and professional boundaries on social media. This study aims to provide an understanding of how physicians present themselves holistically online to inform such policies and resources. Twenty-eight US-based physicians who use social media were interviewed. Participants were asked to describe how and why they use social media, specifically Twitter (rebranded as 'X' in 2023). Interviews were complemented by data from the participants' Twitter profiles. Data were analysed using reflexive thematic analysis guided by Goffman's dramaturgical model. This model uses the metaphor of a stage to characterise how individuals attempt to control the aspects of the identities-or faces-they display during social interactions. The participants presented seven faces, which included professionally focused faces (e.g. networker) and those more personal in nature (e.g. human). The participants crafted and maintained these faces through discursive choices in their tweets and profiles, which were motivated by their audience's perceptions. We identified overlaps and tensions at the intersections of these faces, which posed professional and personal challenges for participants. Physicians strategically emphasise their more professional or personal faces according to their objectives and motivations in different communicative situations, and tailor their language and content to better reach their target audiences. While tensions arise between these faces, physicians still prefer to project a rounded, integral image of themselves on social media. This suggests a need to reconsider social media policies and related educational initiatives to better align with the realities of these digital environments.

Temporalization and the Digital Vigilante: Past Presencing, Un/Doing Futures and “Jewish Revenge” as Affective Justice in Talia Lavin’s Culture Warlords

This paper examines the figure of the hate-fighting digital vigilante as embodied through Aryan Queen, an online persona developed and depicted by self-proclaimed antifa member Talia Lavin in her book Culture Warlords. One chapter in the 2020 memoir relays Lavin’s pursuits to elicit and make known identifying information of Der Stürmer, an anonymous white supremacist online hater. I first locate Lavin’s undertaking in the porous policy landscape regulating online hate transnationally to make a case for its value as an entry into the navigation of hate on Telegram, a platform that has become a popular enclave for hate, and one that remains otherwise impenetrable to state efforts at formal governance. I then introduce the digital vigilante as a cultural figure that has become increasingly distinguished from, but developed in relation to, the classical or analogue vigilante in academic literature, albeit with only limited attention paid to the seemingly boundless temporality that constitutes the virtual sphere. Attending to processes of temporalization, I argue, can well serve an analysis of the moral universe within which the digital vigilante operates, thereby enabling a critical engagement with the motivations, methods, and intentions of her justice pursuits online. With the support of anthropological theories of temporalization – namely, past presencing, un/doing futures, and affective justice – I show that justice pursuits by way of digital vigilantism for Lavin are entangled with an affective longing for revenge, and manifest a complex intermingling of open wounds from injustices that emerge from and produce entanglements of the past, present, and future.

Exploration of Simulacra in Moderation Messages: Analysis of Salafi Dakwah on Youtube

This research aims to deepen the moderation messages expressed by Ustad Salafi on the YouTube platform, as well as analyze how the reality of religious moderation is constructed through the perspective of Jean Baudrillard's simulacra theory. The research method applied involved content analysis of videos uploaded by Ustad Salafi, as well as interviews with viewers and followers. The use of Nvivo software makes it easier to code and analyze the collected data. The findings of this research indicate that Ustad Salafi seeks to promote messages of tolerance and peace, by mixing religious principles with the local cultural context. The messages of moderation conveyed through this digital platform have a significant impact in shaping religious discourse and supporting a more inclusive understanding of Islam, especially in the context of Indonesia's multicultural society. This research also highlights the complex dynamics between Ustad Salafi's online persona and the moderation messages he conveys. This shows the importance of understanding how digital media influences people's perceptions of religion and culture, as well as the complexity in the process of forming opinions and beliefs. Thus, this research makes a valuable contribution in understanding the role of digital media in influencing contemporary society's thinking and behavior regarding religious moderation.

Gender Representation Among Foot & Ankle Conference Presenters and Research Authors: A 10-Year Analysis (2012-2022)

Introduction/Purpose: Today women are over 50% of medical school matriculants but remain underrepresented in orthopaedic surgery (~15% of residents and < 6% of practicing surgeons). Moreover, despite different and sometimes controversial reports, the rate of female society memberships and national and international meeting speakers as well as their contribution to leadership positions including moderating sessions, podiums, and symposiums are believed to be low. The objective of this study was to assess whether there is a gap in female representation among invited speakers at American Orthopaedic Foot & Ankle Society (AOFAS) national meetings relative to research productivity as reflected by article authorship in Foot & Ankle International journal (FAI). Methods: Programs for AOFAS specialty days and annual meetings and FAI articles from January 2012 to December 2022 were obtained. Industry-hosted programs were excluded. Gender was identified through personal acquaintance or online search on the biographies of the authors. Presentations and articles were categorized as “technical” or “non-technical”, where technical was defined as relating to basic science or the clinical practice of orthopaedics. Comparisons were done using the Chi-Square Test (significance level= p< 0.05). Results: 1,020 AOFAS presentations and 2,230 FAI articles were analyzed. Gender was unavailable for 0.19% of AOFAS speakers, 4.48% of FAI first authors and 4.13% of FAI senior authors. 11.08% of AOFAS invited national meeting speakers, 15.18% of FAI first authors and 7.40% of FAI senior authors were female. Overall, the proportion of female speakers was significantly lower than female first authors (p= 0.0036), and significantly higher than female senior authors (p < 0.001). In 2018 and 2019, women were more likely to have given “non-technical” AOFAS presentations. There was no significant difference in other years or among FAI articles. The average annual change was +2.00% female AOFAS presenters, +0.31% FAI female first authors and -0.37% FAI female senior authors per year. Conclusion: Women represented 15.16% of first authors in FAI between 2012 and 2022 but 11.08% of invited speakers at AOFAS meetings. Meanwhile, the percentage of female AOFAS membership in the organization as a whole increased from 7.5% to 13%. Thus, despite historically low rates of representation, female Foot & Ankle surgeons were proportionally represented in 2021 and 2022 among invited national conference presentations and research compared to female society membership and female research publications in FAI. There is still room to increase representation of deserving historically under-represented groups, however the increase in female AOFAS presenters demonstrates a positive trend. Figure 1. Percentage of AOFAS Female Podium Speakers and FAI Female 1st Authors, 2012 - 2022

Attitude of tunisian psychiatry residents toward internet searches for patient informations

IntroductionIn the age of digital information, the volume of personal information available online continues to grow. Examining patients’ online profiles has become common for various reasons especially in psychiatry, despite ethical concerns. Therefore, it is interesting to explore the attitudes of tunisian psychiatric residents in this regard.Objectives This study aimed to identify the purposes that make psychiatry residents consult their patients’ profiles on social media and to evaluate the consequences of being friends with them or following them on the treatment course and on the doctor-patient relationship.MethodsThis was a cross-sectional descriptive study from August to September. A questionnaire on Google form was distributed to psychiatry Tunisian residents.The study evaluated the frequency and causes of patient profiles consultation on social networks, its role and impact in the doctor-patient relationshipResultsThe study population included 53 psychiatry residents with a mean age of 28 (+-5) years and a sex ratio of 0.127. Among the responders, 53 % were in their first or second year of residency. And the predominant workplace was El Razi Hospital : a university hospital. For the frenquency of patient profiles consultation on social networks : 87% of treating psychiatrists declared consulting their patients’ profiles on social media at least once. The purposes of consulting patient’s profiles noted in our study were: looking for signs of pre-morbid functioning (n=32), looking for clinical features of the current episode (n=30). They do it also to verify the informations provided by the patient (n= 18) ,have an idea of their private lives (marital status ,employment, hobbies,..)(n=11) ,or locate a family member (n=5). It can be also out of curiosity (n=21). And this made the psychiatry residents empathetic towards the patient (n=10) .But, in 91% of cases, patient’s permission was not taken .Moreover, 4 of treating psychiatrists declared being friends with their patients or following their profiles on social media. Two of them regret it. The friend or follow request was an initiative from the patient, in all cases.ConclusionsThe attitudes of psychiatry residents regarding the consultation of patients’ profiles on social networks were not clear. However, as the boundaries of the digital doctor-patient relationship remain undefined, it is imperative to develop clear guidelines and educational resources.Disclosure of InterestNone Declared

A Study on Buyer’s Behaviour Towards Next Gen Home Products with Special Reference to Erode District

This study delves into the intricacies of buyer behavior concerning Next Gen Home Products in Erode District, India, with the aim of assessing consumer awareness and understanding of these innovative products and identifying key factors influencing purchase decisions. Employing a descriptive research design, the study utilized a sample size of 119 respondents from diverse occupational backgrounds through stratified random sampling. Statistical tools such as frequency analysis, descriptive statistics, ANOVA analysis, and correlation analysis were employed for data analysis. The findings of the study reveal that consumer awareness of Next Gen Home Products is highest for factors such as ‘Comprehension of Home Systems Controlled Remotely’ and ‘Familiarity with Automated Environmental Control Systems,’ while ‘Familiarity with Intelligent Home Technology’ ranks lowest. Factors significantly influencing buyer decisions include ‘Endorsements from Personal Contacts’ and ‘Influence of Online Consumer Feedback,’ followed by ‘Product Design and Visual Appeal’ and ‘Customer Support Quality.’ Notably, a positive correlation exists between consumer awareness and purchasing factors. Age, educational qualification, occupation, and gender were also found to influence consumer behavior. Based on these findings, several suggestions are proposed, including educational initiatives to enhance consumer awareness, leveraging personal contacts and online feedback, focusing on product design, improving customer support quality, emphasizing long-term savings benefits, and effectively communicating cost-effectiveness. In conclusion, this study provides valuable insights for businesses and policymakers in Erode District to align their strategies with consumer preferences in the Next Gen Home Products market. By implementing these suggestions, companies can improve their market performance and enhance the adoption of innovative home solutions in the region.