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The higher-level aim of this study is to investigate the impact of health information needs satisfaction on the fear of COVID-19 for the general population. The investigation is theoretically grounded on Wilsons’ model of information seeking in the context of inquesting the reasons for seeking health information as well as the information sources the general population deploy during the COVID-19 pandemic.

This cross-sectional survey examines the correlations between health information seeking behavior and the COVID-19 generated fear in the general population through the application of a specially designed structured questionnaire which was distributed online. The questionnaire comprised four main distinct research dimensions (i.e. information needs, information sources, obstacles when seeking information and COVID-19 generated fear) that present significant validity levels.

Individuals were motivated to seek COVID-related health information to cope with the pandemic generated uncertainty. Information needs satisfaction as well as digital health literacy levels is associated with the COVID-19 generated fear in the general population. Finally, a conceptual framework based on Wilsons’ macro-model for information seeking behavior was developed to illustrate information needs satisfaction during the pandemic period. These results indicate the need for incentives to enhance health information needs satisfaction appropriately.

The COVID-19 generated fear in the general population is studied through the information seeking behavior lenses. A well-studied theoretical model for information seeking behavior is adopted for health-related information seeking during pandemic. Finally, digital health information literacy levels are also associated with the fear of COVID-19 reported in the authors’ survey.

Preventive health-care behavior (PHB) adoption as a primordial prevention to stay healthy and avoid lifestyle disease risk is a global trend. This paper aims to use the PHB model and stimulus-organism-response theory to empirically examine the role of individual and technological factors in influencing primordial PHB.

A sequential mixed-method was adopted to identify the primordial PHB adoption and propose a conceptual framework. The identified determinants and the hypothesized relationships were empirically tested using a convenience sample of 406 urban Indians. Partial least square structural equation modeling is used for data analysis.

The derived conceptual framework was empirically tested to assess the role of health literacy (HL), health value (HV) and digital health information seeking (DHIS) on primordial PHB. Findings confirmed the significant influence of DHIS on HL, HL on HV and PHB and HV on PHB. The direct effects of DHIS on PHB and HV were insignificant. HL solely mediated the indirect effect of DHIS on PHB, while the mediation of HV was insignificant. HL and HV fully mediated the relationship between DHIS and PHB.

The impact of DHIS on PHB adoption and the serial multiple mediating roles of HL and HV are significant in understanding primordial PHB adoption for both academic theory and practice. However, the cross-sectional study on urban Indians needs further validation across geographies.

To the best of the authors’ knowledge, this pioneering study is among the first to propose and validate a comprehensive model of primordial PHB adoption.

Consumers have increased access to digital health tools such as social media, websites and marketer-controlled platforms for information sharing. Telemedicine (TM) represents an emerging omni-channel touchpoint for consumers to exchange information and inform health decision-making at a time and place of their choosing. While TM offers great potential, consumer adoption has been slower than expected. This paper aims to investigate attitudinal factors that influence adoption and usage of TM within consumers’ omni-channel decision-making environment.

Surveys from 869 patients were analyzed using multiple linear regression to examine the relationships between health decision-making, TM access benefits and omni-channel touchpoints (social media, website and internal health digital channels usage) on TM usage likelihood.

Attitudinal constructs related to TM’s benefits including access and health decision-making have the strongest impact on future TM usage. The study also empirically demonstrates a link between consumers’ omni-channel information seeking and TM usage.

Increasing consumers’ involvement across omni-channel touchpoints has an additive effect on perceived benefits for engaging consumers in using digital offerings like TM. Future research is needed that examines the interrelationships on consumers’ health decision-making across generational cohorts and the post-adoption effects of digital service offerings.

Omni-channel touchpoints such as TM provide new opportunities to enhance shared decision-making. However, marketers need to adopt strategies that accommodate consumers’ evolving omni-channel preferences for access and information exchange to synergize digital service offerings with interpersonal touchpoints.

This study integrates shared decision-making, technology acceptance and omni-channel marketing literature to explore TM acceptance and usage within the context of consumers’ omni-channel decision process.

Information literacy skills (ILSs) and information-seeking behavior (ISB) is a widespread topic that needs modern technologies to improve the technical skills of the students. The purpose of this study is to assess the usage of library resources for medical college students. To explore and understand the student’s level of satisfaction, learning and seeking behavior by efficient information retrieval systems.

The study is based on a quantitative research method and data was collected from the undergraduate students of medical colleges Islamabad Pakistan. The data were analyzed by Statistical Package for Social Science (SPSS) version 25 using Pearson correlation statistical test to identify the level of proficiency of correlation of variables and testing of the proposed hypothesis.

The finding of the study shows that the medical students can enhance their IT skills to seek the information in this technology era. The medical institutional administration can develop the education development policy, traditional health education policy, funds allocating policy, health information literacy and collaborate with library staff for enhancing the services and to meet the information need of medical students.

The conclusion of this study is very helpful to reduce the barriers between the students and the library staff. The findings of the study are also beneficial for the administration to improve and develop the strategies for enhancing the ILSs of medical students to achieve medical educational information in the age of technology. Therefore, all significant structures want to improve and to develop the environment of information seeking by medical students to achieve medical educational information.

Medical college library administrative management must be design useful a durable policy to come up with the technology development for digital literacy. The study reduces the barriers between the students and the library staff.

The study is based on quantitative research method to find out ISB of medical students.

The purpose of this review is to provide a conceptual framework of consumer engagement behavior in the value co-creation process of healthcare services, and further understand the current knowledge maps and advances.

Specifically, the scoping review methodology is used to synthesize the extant findings. The authors first develop the inclusion/exclusion criteria to evaluate the source material for the review; then, the authors further conduct the literature refinement to select the final data sample. As such, the authors extract and analyze the information derived from these articles.

The authors found most related studies focus on exploring patients' engagement behavior in the value co-creation process, especially those with chronic disease; the findings also reveal that consumers are most likely to engage in the value co-creation process of healthcare services by seeking or sharing health information; also, consumers engagement behavior is mainly driven by individual, interactive, and technological factors; moreover, consumer engagement in the value co-creation of healthcare services are more likely to achieve positive health and behavioral outcomes.

The role of consumers has gradually shifted from that of passive recipients to that of active participants in the healthcare value co-creation process. Consumer engagement behavior is the key premise for the realization of healthcare value co-creation, and it has received increasing attention both academically and practically. By unearthing the conceptual framework of consumer engagement behavior in the value co-creation process of healthcare services, this study provides a systematic understanding and serves as a useful resource for future research and practice.

Conceptual and empirical research over the past 20 years has moved the social media (SM) literature beyond the embryotic stage to a well-developed academic discipline. As the lead article in the special issue in the Journal of Research in Interactive Marketing on Cutting-Edge Research in Social Media and Interactive Marketing, this review and agenda article has two key goals: (1) to review key SM and interactive marketing research over the past three years and (2) to identify the next wave of high priority challenges and research opportunities.

Given the “cutting-edge” research focus of the special issue, this review and research agenda paper focused on articles published in 25 key marketing journals between January 2021 and March 2024. Initially, the search request was for articles with “social media, social selling, social commerce” located in the article title, author-selected key words and journal-selected keywords. Later, we conducted searches based on terminology from articles presented in the final review. In total, over 1,000 articles were reviewed across the 25 journals, plus additional ones that were cited in those journals that were not on the initial list.

Our review uncovered eight key content areas: (1) data sources, methodology and scale development; (2) emergent SM technologies; (3) artificial intelligence; (4) virtual reality; (5) sales and sales management; (6) consumer welfare; (7) influencer marketing; and (8) social commerce. Table I provides a summer of key articles and research findings for each of the content areas.

As a literature review and research agenda article, this paper is one of the most extensive to date on SM marketing, and particularly with regard to emergent research over the past three years. Recommendations for future research are integrated through the paper and summarized in Figure 2.

Consumer welfare is one of the eight emergent content areas uncovered in the literature review. Specific focus is on SM privacy, misinformation, mental health and misbehavior.

Online health communities (OHCs) have emerged on the Internet, substantially changing the conventional healthcare delivery model. Despite this emergence, the lack of patient participation and contribution always limits the success and sustainability of OHCs. Previous studies have disclosed that patients’ value co-creation behavior (VCB) helps organizations sustain OHCs. However, how the recent surge in artificial intelligence (AI) tools, such as social support chatbots (SSCs), drives patients’ VCB is still unknown. Therefore, this study examines the complex mechanism behind patients’ VCB to establish sustainable OHCs.

Using value co-creation and social support theories, the author develops a moderated mediation model and analyzes survey data from 338 respondents using partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) methods.

Results demonstrate that perceived social support (PSS) from SSCs positively affects VCB directly and indirectly via patient learning (PL). This indirect effect is stronger when patient ability/readiness (PAR) is high. ANN findings highlight the model’s robustness and the significant role of PAR in VCB.

This study’s integrated framework offers unique insights into key drivers of patients’ VCB in OHCs. The findings indicate that PSS from SSCs enhances PL and VCB, with PAR influencing the strength of these relationships. Understanding these dynamics can inform user-centric interventions to promote effective learning and collaboration in OHCs.

Digital transformations are altering service models and care delivery methods in healthcare. Artificial Intelligence (AI) represents the next wave of transformation in healthcare. This study aims to understand patient perceptions of AI and its impact on value co-creation.

A conceptual model was developed to investigate how value co-creation operant resources (digital self-efficacy and relational service quality) impact value co-creation engagement (shared decision-making) and value co-creation outcomes (anticipatory AI value co-creation and intention to adopt AI). Data were collected from 332 respondents and analyzed using structural equation modeling.

The results indicate that the value co-creation process for AI technologies is a function of inputs, experiences and AI outputs. Operant resources were found to be positively associated with shared decision-making. However, not all operant resources directly and positively impacted AI outcomes. The indirect and positive mediated relationships through shared decision-making to AI outcomes suggest an interactive AI value co-creation process.

AI technologies are still in early stages of consumer adoption in healthcare. Future research is warranted that investigates the validity of the model through maturing service life cycles.

Customer perceptions of new digital innovations are formed in the context of previous digital experiences. Marketers need to understand how customers view their current non-AI technologies. Strong engagement and perceived value of current technologies will help ease customers into the usage of AI technologies.

This study investigates the unique stages of the value co-creation process for AI technologies in healthcare. The results demonstrate that the value co-creation process is a function of inputs, tech-enabled experiences and AI outputs.

This study aims to compare the e-service quality of health-care services during and the post-Covid-19 outbreak in Turkey. In addition, the relationship between patient appointments made through e-services and satisfaction was measured.

Two different studies were conducted during and after the Covid-19 period. Data were evaluated with Fuzzy Importance, Expected Performance and Priority Analysis (FIEPA) with compromise ranking method (VIKOR).

Consumers’ expectations and managers’ priorities differ in both periods. The design dimension is the most critical priority that requires improving e-service quality in health care during a pandemic. In the post-pandemic era, the interaction dimension gained importance and has become a priority in resource allocation. The date of a doctor’s appointment obtained from online appointment systems affects satisfaction, and this situation should be considered in e-services.

Managers should consider these differences and update their e-services by acting quickly in cases such as pandemics. Study 2 showed that the sanctions implemented by the Ministry of Health to prevent inconvenience to patients who fail to attend their appointments despite booking them are effective.

To the best of the authors’ knowledge, this is the first study to compare e-service quality in health care in the Covid-19 pandemic era and the post-Covid-19 pandemic era. The findings have important implications for future research and policy, and this research fills a gap in the literature.

Artificial intelligence (AI) is transforming consumers' experiences and how firms identify, create, nurture and manage interactive marketing relationships. However, most marketers do not have a clear understanding of what AI is and how it may mutually benefit consumers and firms. In this paper, the authors conduct an extensive review of the marketing literature, develop an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships, identify research gaps and offer a future research agenda.

The authors first conduct an extensive literature review in 16 top marketing journals on AI. Based on this review, an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships was conceptualized.

The literature review led to a number of key research findings and summary areas: (1) an historical perspective, (2) definitions and boundaries of AI, (3) AI and interactive marketing, (4) relevant theories in the domain of interactive marketing and (5) synthesizing AI research based on antecedents to AI usage, interactive AI usage contexts and AI-enabled value co-creation outcomes.

This is one of the most extensive reviews of AI literature in marketing, including an evaluation of in excess or 300 conceptual and empirical research. Based on the findings, the authors offer a future research agenda, including a visual titled “What is AI in Interactive Marketing? AI design factors, AI core elements & interactive marketing AI usage contexts.”