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Purpose: Previous research has found that people’s trust in a source of information affects whether they will expose themselves to information from that source, pay attention to that source, and the likelihood that they will act on the information obtained from that source. This study tracked trends in levels of trust in different health information sources over time and investigated sociodemographic predictors of trust in these sources.

Methodology/Approach: Data were drawn from the Health Information National Trends Survey (HINTS), a nationally representative, cross-sectional survey of adults in the USA. Weighted percentages, means, and standard errors for trust in health information sources were computed using data from four iterations of the survey (2005, 2009, 2012, and 2013). Weighted multivariable logistic regression models were employed to investigate associations between sociodemographic variables and level of trust in health information sources using HINTS 2013 data.

Findings: Trend analyses revealed declining trust in “traditional” mass media channels, such as television and radio, for health information and consistently high trust in interpersonal sources, like physicians, over the past decade. Regression analyses showed that those with more education (ORs 2.93–4.59, p < 0.05) and higher incomes (ORs 1.65–2.09, p < 0.05) were more likely to trust the Internet for health information than those with less education and lower incomes. Non-Hispanic Blacks and Hispanics were more likely to trust mass media channels in comparison to Non-Hispanic Whites (ORs 1.73–2.20, p < 0.05).

Implications: These findings can be used to inform the strategic selection of channels for disseminating health information to certain demographic groups.

This study focuses on understanding how channel features can affect people's intention to continue to use an electronic channel in public affairs and their recommendation behaviors. Specifically, three different channels are focused on: email, microblogs and online meetings.

A research model on an e-participation channel based on the channel-disposition framework was developed and an online survey was conducted to collect data from 397 individuals who used three e-participation channels to validate seven hypotheses.

The study found that information quality, channel interaction quality and the social appearance of other citizens all had a significant impact on users' intention to continue to use an electronic channel, which, in turn, affected their recommendation behaviors. However, the impact differed across the three e-participation channels. Information quality had a stronger impact on microblog and online meeting users' intention to continue to use these channels than on email users' intention to continue using email to participate in public affairs. Channel interaction quality had a stronger impact on email users' intention to continue to use email than on microblog and online meeting users' intention to continue to use these channels in public affairs.

This study helps better explain how various channels and their features can affect participants' use intentions and behaviors in e-participation. It also provides practical guidance for government to better manage e-participation channels and effectively engage citizens in public affairs.

We explore the driving forces behind the channel choices of the manufacturer and the platform by considering asymmetric selling cost and demand information.

This paper develops game-theoretical models to study different channel strategies for an E-commerce supply chain, in which a manufacturer distributes products through a platform that may operate in either the marketplace channel or the reseller channel.

Three primary models are built and analyzed. The comparison results show that the platform would share demand information in the reseller channel only if the service cost performance is relatively high. Besides, with an increasing selling cost, the equilibrium channel might shift from the marketplace to the reseller. With increasing information accuracy, the manufacturer tends to select the marketplace channel, while the platform tends to select the reseller channel if the service cost performance is low and tends to select the marketplace channel otherwise.

All these results have been numerically verified in the experiments. At last, we also resort to numerical study and find that as the service cost performance increases, the equilibrium channel may shift from the reseller channel to the marketplace channel. These results provide managerial guidance to online platforms and manufacturers regarding strategic decisions on channel management.

Although prior research has paid extensive attention to the driving forces behind the online channel choice between marketplace and reseller, there is at present few study considering the case where a manufacturer selling through an online platform faces a demand information disadvantage in the reseller channel and sales inefficiency in the marketplace channel. To fill this research gap, our work illustrates the interaction between demand information asymmetry and selling cost asymmetry to identify the equilibrium channel strategy and provides useful managerial guidelines for both online platforms and manufacturers.

This study investigated the usefulness of various communication means for providing university study information with prospective students before and during the pandemic for three consecutive academic years.

Students who had recently taken undergraduate program admission indicated how useful communication channels were in providing the information about university studying. Seven communication channels were examined: open/information day, admission talk, campus visit, education fair, admission website, social media and summer activities. The students were asked to complete an online survey at the beginning of an academic year. In the survey, they were asked to indicate the usefulness of each of the communication channels using a five-point Likert scale with the descriptors: 1 = not useful, 2 = slightly useful, 3 = somewhat useful, 4 = useful, 5 = very useful. If students did not have any usage experience with a communication channel, they were asked to choose “no experience.” There were 1798, 1735 and 1961 students at a university in Hong Kong participating in the study in academic years 2019/20, 2020/21 and 2021/22, respectively.

The pandemic has transformed the landscape of the university's ways of marketing channels to communicate with prospective students. The top useful channel of information for students during the pandemic was admission website, followed by social media and then open/information day. Before the pandemic, open/information day was the most useful channel of information for students and then admission website; the least useful one was social media channel. Significant differences were revealed in the usefulness rating on open/information day and social media channel among the three academic years.

The findings facilitate educational managers to determine the appropriate marketing and recruitment strategies for connecting with prospective students under dynamic context in the era of new normal. They helped identify where to focus the marketing efforts to achieve the most impact in particular under budget constraints.

Drawing on dynamic capability theory, this study investigates how online–offline channel integration (OOCI) affects a firm's supply chain resilience and how such an effect is moderated by market turbulence and regulatory uncertainty.

A sample of 273 Chinese firms that conduct online and offline business and hierarchical regression analysis were used to examine the research model.

The results suggest that the effect of OOCI on supply chain resilience differs in terms of its dimensions (i.e. information integration, transaction integration and service integration). While information integration and service integration were positively associated with supply chain resilience, transaction integration had a non-significant relationship with supply chain resilience. Moreover, market turbulence negatively moderated the effect of transaction integration and positively moderated the effect of service integration. Regulatory uncertainty positively moderated the effect of transaction integration and negatively moderated the effect of service integration. Implications and suggestions for future research are discussed.

This study examines the effect of OOCI on supply chain resilience. It further explores the influence of market turbulence and regulatory uncertainty on the relationship between OOCI and supply chain resilience.

Previous research, conducted before the Internet was widely accessible, has shown that information sources and channels can influence the initiation, adoption, and implementation of innovations. The field of operations management faces a wide variety of innovations, the eventual diffusion of which may depend on changes that are now occurring in information technology. This study uses data collected from two surveys, one conducted postally and one conducted over the Internet, to identify how operations management practitioners, consultants, academics, and students perceive and use information from various sources (books, journals, etc.) and channels (conferences, the Internet, etc.). The results indicate that the Internet is growing in importance as an information channel, with more than 40 percent of all respondents having used information obtained from the Internet during the year preceding our study. Although most respondents view that information as being less important to them professionally than information from other sources and channels, those who use the Internet most frequently have a much higher opinion of the information it provides. Multidimensional preference analysis indicates that the Internet is perceived as being quite different from traditional sources and channels, but because of that difference it currently meets the preferences of only a small subset of individuals.

The rapid development of the Internet has led to an increasingly significant role for E-commerce business. This study examines how the green supply chain (GSC) operates on the E-commerce online channel (resell mode and agency mode) and the traditional offline channel with information sharing under demand uncertainty.

This study builds a multistage game model that considers the manufacturer selling green products through different channels. On the traditional offline channel, the competing retailers decide whether to share demand signals. Regarding the resale mode of E-commerce online channel, just E-tailer 1 determines whether to share information and decides the retail price. In the agency mode, the manufacturer decides the retail price directly, and E-tailer 2 sets the platform rate.

This study reveals that information accuracy is conducive to information value and profits on both channels. Interestingly, the platform fee rate in agency mode will inhibit the effect of a positive demand signal. Information sharing will cause double marginal effects, and price competition behavior will mitigate such effects. Additionally, when the platform fee rate is low, the manufacturer will select the E-commerce online channel for operation, but the retailers' profit is the highest in the traditional channel.

This research explores the interplay between different channel structures and information sharing in a GSC, considering price competition and demand uncertainty. Besides, we also considered what behaviors and factors will amplify or transfer the effect of double marginalization.

A broad array of information channels exists for service customers. The purpose of this study is to better understand the relationship between the use of, and trust in, information channels, so that there is scope to increase the effectiveness of reliable information provision and, hence, to change behaviour.

This study empirically explored whether customers use channels they trust, and trust what they use, and examined the association between individual (demographic) factors and that trust. A total of 472 mothers completed an online survey.

The current study empirically explored channel trust and individual factors, finding that individual factors (such as education level) and trust warrant inclusion in traditional communication models such as Communication–Human Information Processing. The findings revealed that the more highly educated a customer is, the more likely it will be that a health professional is their most trusted channel, but the less likely it will be that they consider family the most trusted channel. Magazines are the least trusted information channel. Further, while informants’ most trusted information channel was healthcare professionals, this was not the most common information channel used.

This study was limited to a female consumer sample focused upon one service (maternity and child health) and five key information channels, which limits the generalizability. Further, the data were collected via an internet survey, which have biased may the results on use and trust of the internet.

The findings showcase the importance of demographic factors and the relationship between trust in information sources and use. The insights developed provide a useful research agenda for the future. This study was limited to a female consumer sample focused upon one service (maternity and child health) and five key information channels, which limits the generalizability of the findings. The data were collected via an internet survey, which may bias the results on use and trust of the internet. Additionally, the data were collected over five years ago, which may have some impact on factors such as the role and importance of internet usage. However, these limitations do not detract from the primary focus of this study and the main findings remain new and relevant.

This study undertook an empirical exploration to examine information channel trust and individual factors, thereby extending the research focus beyond current traditional communication model approaches. Models such as Communication–Human Information Processing focus on individual cognitions and assume a staged sequence of decision-making following traditional decision-making models and ignoring channel attributes such as channel trust, thereby limiting understanding. The current study indicates that communication models will benefit from the addition of channel trust and additional individual factors (such as demographics) to extend understanding beyond individual cognitions.

Previous studies have attempted to address online uncertainties from the relationship marketing perspective. The purpose of this paper is to argue that the integration of media richness theory (MRT) and cognitive fit theory (CFT) can contribute a new perspective in addressing consumers’ transaction-specific uncertainties in online retailing.

On the basis of MRT and CFT, a research model was developed by correlating online channel media richness (OCMR), online–offline information integration (OOII), information privacy concern, perceived deception and online loyalty. The model was empirically examined based on survey data collected from 258 multi-channel consumers in China.

An analysis of structural equation model showed that OCMR is negatively associated with information privacy concern and perceived deception but is not significant to online loyalty. Information privacy concern has a negative influence on online loyalty, but the effect of perceived deception is not significant. Moreover, information privacy concern is positively related to perceived deception. The OOII strengthens the influence of OCMR but not the moderating effect of integrated promotion, product and price information on the relationship between OCMR and online loyalty.

This study contributes to the extant literature on online retailing by examining the effect of OCMR on online transaction uncertainties. Information integrity in the form of OOII was proposed to complement OCMR. Results have shown that OCMR is significant in reducing online uncertainties, and OOII strengthens this effect, thereby enhancing online loyalty.

Understanding the customers’ habits of getting cosmetic products information is of great importance to enhance the effectiveness of advertising and marketing strategy of cosmetics. In China, as females are the major target customers of cosmetics, this paper aims to analyze the information behaviors of obtaining cosmetics information of different women groups, including the preferences of information channels and the corresponding means of getting information.

This research is based on a questionnaire survey. A total of 419 effective questionnaires were collected from females who had bought cosmetics in China. Descriptive statistics and chi-square analysis were used to analyze the data.

According to the result of the questionnaire survey, women preferred to get information through social platforms and physical stores. And the primary reason of the choice was that they believed the information from the channel they chose was reliable. The survey also revealed that age, educational level and occupation would significantly affect their preferences of information channels.

There was no previous research which analyzed Chinese women consumers’ information-seeking behaviors about cosmetic products information as well as the influence factors of the behaviors.