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This paper examines the impact of the COVID-19 pandemic on low-carbon consumption of dairy products through informational interventions. The empirical findings seek to enlighten developing countries' efforts in coping with climate change and potential dietary transitions.

A randomized controlled trial was designed to examine the effects of purpose-differentiated information interventions on individual dairy consumption. The experiment recruited and randomly assigned 1,002 college students into four groups to receive (or not) environmental or/and health information interventions.

The empirical analysis finds that health and combined information interventions have a positive impact on dairy consumption, while environmental information interventions' effect on dairy consumption is insignificant. In the context of the pandemic, health information interventions positively affected participants' perceptions and preferences for dairy products by delivering knowledge about their role in boosting immunity. However, environmental information interventions failed to do the same things as their insignificant effects on both perception and preference.

Macro-external shocks, such as public health events, may offset the impact of universal information interventions promoting pro-environmental behaviors. For a smooth dietary transition to achieve long-term environmental sustainability, diverse stakeholders must be included in more individualized interventions to guide daily consumption, especially in developing countries with large populations.

Leveraging information technology (IT) to improve the treatment and support of patients is a widely studied topic in healthcare. For chronic diseases, such as diabetes, the use of information technology is even more important since its effect extends from a clinic environment to patients’ daily life. The purpose of this paper is to investigate the impacts of one widely adopted information technology, the mobile phone, on diabetes treatment, specifically on the complicated process of patients’ health, emotions and compliance.

We leverage a unique longitudinal dataset on diabetes patients’ health status in rural areas of China to study the problem. We also cross-link the dataset with mobile carrier data to further differentiate mobile phone use to phone calls and network use. To address the endogeneity concerns, we apply PSM and a series of instrument variables.

We identify clear evidence that mobile phone use can significantly improve patients’ emotions and compliance, where the effect is generally larger on patients in worse health conditions. While mobile phone calls clearly benefit diabetes patients, we do notice that mobile phone network use has a negative moderating effect with patients’ health condition on improving compliance.

This study not only enriches our theoretical understanding of the role of mobile phones in diabetes management, it also shows the economic benefit of promoting patients’ use of mobile phones, which should be considered by medical care providers and medical policymakers.

Pro-environmental education incorporates digital technologies to enhance the level of pro-environmental behaviours (PEB) in young adults. Guided by gamified learning and self-directed informal learning theories, this study aims to examine the potential for the use of a gamified mobile app to increase students’ PEB. Also, it explores whether various pre-existing environmental attitudes and beliefs can moderate the effects.

This quasi-experimental study proposed an eight-weeks intervention for undergraduate students based on using a mobile app. The authors evaluated the post-intervention differences in PEB between the intervention group and a control group. The effects of multiple moderators were also tested.

Using the mobile app for eight weeks significantly improves the levels of PEB in the intervention group compared to the control group. None of the proposed interactions showed significant moderator effects.

To the best of the authors’ knowledge, this study is the first one to verify the potential moderators accounting for the success of an environmental education approach using a mobile app. Also, it provides strong empirical support for the use of such educational strategy. Based on these findings, the authors suggest the use of gamified mobile apps as suitable tools for pro-environmental education, especially when targeting young adult or student populations. Moreover, using mobile apps providing self-directed informal learning, combined with gamification, can be used to enhance other desirable behaviours.

Underlying much recent development in data science and artificial intelligence (AI) is a dependence on the labour of precarious crowdworkers via platforms such as Amazon Mechanical Turk. These platforms have been widely critiqued for their exploitative labour relations, and over recent years, there have been various efforts by academic researchers to develop interventions aimed at improving labour conditions. The aim of this paper is to explore US-based crowdworkers’ views on two proposed interventions: a browser plugin that detects automated quality control “Gold Question” (GQ) checks and a proposal for a crowdworker co-operative.

The authors interviewed 20 US-based crowdworkers and undertook a thematic analysis of collected data.

The findings indicate that US-based crowdworkers tend to have negative and mixed feelings about the GQ detector, but were more enthusiastic about the crowdworker co-operative.

Drawing on theories of precarious labour, this study suggests an explanation for the findings based on US-based workers’ objective and subjective experiences of precarity. The authors argue that for US-based crowdworkers “constructive” interventions such as a crowdworker co-operative have more potential to improve labour conditions.

This study examines whether there are unintended consequences that emerge from status interventions in task groups in relation to cohesion and solidarity. Past theorists have argued that inconsistent status structures produce weaker levels of cohesion and solidarity in comparison to consistent status structures.

Data come from an online experiment involving mixed-sex dyads interacting in one of three conditions. Participants individually completed an ambiguous problem-solving task and then worked together over Zoom audio to form a group decision. In the three conditions, participants were either given no performance feedback before the problem-solving task or were informed the male or the female participant performed better on a pretest related to the task. The conversations were recorded and analyzed using measures related to paraverbal synchronization and accommodation.

In terms of self-reported cohesion, there appeared to be a difference, albeit a weak one, in only the inconsistent-status condition, with female participants reporting higher levels of cohesion in comparison to males. However, in terms of solidarity, there was no significant difference between the conditions.

Although inconsistent status structures were associated with weaker perceptions of cohesion, it did not appear to impact solidarity like theorists have suggested. Status structures do not appear to impact group solidarity.

The nature of group membership in conjunction with status consistency/inconsistency may produce the significant differences in solidarity that theorists have suggested.

To date, there has been little empirical examination of how status consistency affects cohesion and solidarity. Relatedly, the current study advances the research on vocal accommodation by analyzing status and solidarity simultaneously.

Given the rapid increase in energy consumption in the residential sector in Jordan recently, the question of how to promote energy-saving behavior in Jordanian households is an emerging topic that is receiving increasing attention from scholars and academics. Generally, there is an unresolved paradox in the literature concerning electricity-saving behaviors. On one hand, numerous studies highlight energy-saving behaviors. On the other hand, recent research indicates the presence of significant untapped potential in electricity-saving behaviors. Therefore, it is useful to revisit the construct of these behaviors qualitatively to expand understanding. The study aimed to provide a better understanding of electricity energy-saving behaviors in terms of its motivations, barriers and support mechanisms from household heads' or household members' perspectives

Qualitative study in a sample of households in north Jordan was conducted in the Irbid province using grounded theory methodology. The analysis of qualitative data involved coding, followed by the integration of codes into more comprehensive categories and themes and interpreting the findings.

The results identify the motivations for households to save energy, the main barriers to indulging in electricity energy-saving behaviors, and the main support mechanisms and perceived support of electricity energy-saving behaviors

The findings bear significant implications for targeted interventions in the study area, improving motivations and addressing local barriers and can inform future policy issues by tailoring initiatives to the specific context.

This study is distinguished by being the first study that specializes in electricity energy-saving behavior of households in Jordan, using new methodology and techniques (qualitative survey).

Effectiveness of message tactics in social marketing projects often varies across groups of individuals, which suggests the importance of tailoring communication approaches to maximize the success of promotional strategies. This study aims to contribute in this direction by using an innovative approach to promote targeted human papillomavirus vaccination, applying conjoint analysis to understand parental preferences for social media content features.

An online purpose-built quantitative survey was administered to a group of parents meeting eligibility criteria. The survey questions were designed based on inputs from formative qualitative research conducted in a previous phase of the study.

In the overall sample of 285 parents, responses show that image was the most important feature of social media posts overall, followed by source and text. Cluster analysis identified eight segments in the sample based on parental preferences for content features. Significant differences across segments were identified in terms of need for cognition, vaccine hesitancy, parental gender, concerns around side effects, trust in medical providers, information sharing behaviors on social media and information seeking online.

The application of conjoint analysis to promotional content allows to assess which features of the content are most important in persuading different individuals and provide insights on how people process the information, ultimately to inform targeted promotion based on preferences. Conjoint analysis has been widely used in consumer research to explore audience preferences for products or services, but only a few applications of conjoint analysis to the design and testing of promotional content are found in the literature.

This study examines the motivational forces of self-transcendence and self-enhancement values in consumers' green apartment purchase intention since the values have been seen as the key determinants of environmental beliefs and concerns that motivate pro-environmental behaviour adoption amongst consumers regardless of external barriers. Additionally, this study identifies the role of environmental content in strengthening the effects of self-transcendence value.

Survey data were collected from 234 residents of three high-rise apartment buildings in Hanoi, Vietnam. Measure reliability and validity were tested by confirmatory factor analysis (CFA) before hierarchical ordinal least squares regression (OLS) was conducted to test the hypotheses.

The research results reveal a significant positive relationship between self-transcendence value and consumers' green apartment purchase intention. However, environmental problem-related content exposure was found to weaken the effect of self-transcendence value on the purchase intention whilst the effect was reported to be strengthened by pro-environmental action-related content exposure.

Theoretically, this study emphasizes the importance of interaction effects between external factors and personal values in explaining consumer's decisions and behaviours. Practically, the research results provide valuable insights for marketers and developers into fostering the adoption of green building apartments amongst consumers.

Disinformation, false information designed with the intention to mislead, can significantly damage organizational operation and reputation, interfering with communication and relationship management in a wide breadth of risk and crisis contexts. Modern digital platforms and emerging technologies, including artificial intelligence (AI), introduce novel risks in crisis management (Guthrie and Rich, 2022). Disinformation literature in security and computer science has assessed how previously introduced technologies have affected disinformation, demanding a systematic and coordinated approach for sustainable counter-disinformation efforts. However, there is a lack of theory-driven, evidence-based research and practice in public relations that advises how organizations can effectively and proactively manage risks and crises driven by AI (Guthrie and Rich, 2022).

As a first step in closing this research-practice gap, the authors first synthesize theoretical and technical literature characterizing the effects of AI on disinformation. Upon this review, the authors propose a conceptual framework for disinformation response in the corporate sector that assesses (1) technologies affecting disinformation attacks and counterattacks and (2) how organizations can proactively prepare and equip communication teams to better protect businesses and stakeholders.

This research illustrates that future disinformation response efforts will not be able to rely solely on detection strategies, as AI-created content quality becomes more and more convincing (and ultimately, indistinguishable), and that future disinformation management efforts will need to rely on content influence rather than volume (due to emerging capabilities for automated production of disinformation). Built upon these fundamental, literature-driven characteristics, the framework provides organizations actor-level and content-level perspectives for influence and discusses their implications for disinformation management.

This research provides a theoretical basis and practitioner insights by anticipating how AI technologies will impact corporate disinformation attacks and outlining how companies can respond. The proposed framework provides a theory-driven, practical approach for effective, proactive disinformation management systems with the capacity and agility to detect risks and mitigate crises driven by evolving AI technologies. Together, this framework and the discussed strategies offer great value to forward-looking disinformation management efforts. Subsequent research can build upon this framework as AI technologies are deployed in disinformation campaigns, and practitioners can leverage this framework in the development of counter-disinformation efforts.

Work interruptions (WIs) due to social media are becoming more and more common in the daily lives of organizations. However, the relationship between WI and work performance of employees is still unclear. This study aims to investigate the effects of WIs due to social media on employees' work performance in terms of different mechanisms; it also considers the moderating role of social media usage.

Using the jobs demands-resource (JD-R) model, this paper proposes a research model to investigate the effects of WIs on employee work performance from the perspective of the enabling mechanism and burden mechanism. Structural equation modeling (SEM) was used to analyze the data of 444 employees.

The results show that (1) with regard to the enabling mechanism path, WI has a positive effect on employees' sense of belonging, which further has a positive effect on employees' work performance; (2) with regard to the burden mechanism path, WI has a positive effect on employees' interruption overload; however, the effect of employee interruption overload on employees' work performance is not significant, and (3) social media used for either work or social purposes can strengthen the relationship between WI and interruption overload, while social media used for work-related purposes can reduce the relationship between WI and a sense of belonging.

First, this paper contributes to the WI literature by clarifying how WI affects employees' work performance through different mechanisms, namely the enabling mechanism and the burden mechanism. Second, this paper contributes to the WI literature by revealing a boundary condition, namely social media use, between WI and a sense of belonging and between WI and employees' interruption overload.