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As public health professionals strive to promote vaccines for inoculation efforts, fervent anti-vaccination movements are marshaling against it. This study is motived by a need to better understand the online discussion around vaccination. The authors identified the sentiments, emotions and topics of pro- and anti-vaxxers’ tweets, investigated their change since the pandemic started and further examined the associations between these content features and audiences’ engagement.

Utilizing a snowball sampling method, data were collected from the Twitter accounts of 100 pro-vaxxers (266,680 tweets) and 100 anti-vaxxers (248,425 tweets). The authors are adopting a zero-shot machine learning algorithm with a pre-trained transformer-based model for sentiment analysis and structural topic modeling to extract the topics. And the authors use the hurdle negative binomial model to test the relationships among sentiment/emotion, topics and engagement.

In general, pro-vaxxers used more positive tones and more emotions of joy in their tweets, while anti-vaxxers utilized more negative terms. The cues of sadness predominantly encourage retweets across the pro- and anti-vaccine corpus, while tweets amplifying the emotion of surprise are more attention-grabbing and getting more likes. Topic modeling of tweets yields the top 15 topics for pro- and anti-vaxxers separately. Among the pro-vaxxers’ tweets, the topics of “Child protection” and “COVID-19 situation” are positively predicting audiences’ engagement. For anti-vaxxers, the topics of “Supporting Trump,” “Injured children,” “COVID-19 situation,” “Media propaganda” and “Community building” are more appealing to audiences.

This study utilizes social media data and a state-of-art machine learning algorithm to generate insights into the development of emotionally appealing content and effective vaccine promotion strategies while combating coronavirus disease 2019 and moving toward a global recovery.

The peer review history for this article is available at https://publons.com/publon/10.1108/OIR-03-2022-0186

This paper proposes selecting a construction project portfolio in the context of a public institution, which makes it possible to assess quantitative and qualitative criteria, thereby meeting the needs of the institution and the existing constraints.

The research design follows a framework using technique for order preference by similarity to ideal solution (TOPSIS) associated with integer linear programming.

The method involves a flow of assessments allowing criteria and weights to be elicited where outcomes are based on the experts' intra-criteria assessment of alternatives and decision-makers' inter-criteria assessment. This is of utmost interest to public organizations, where selections must result in benefits and lower costs, integrating the experts' technical and management perspectives.

Public institutions are characterized by having limited financial and personnel resources for project development despite having a high demand for requests not associated with profits, making it essential to have a framework that enables using multiple criteria to better evaluate the benefits related to these decisions.

The main contributions of this article are: (1) the proposition of a framework for selecting construction project portfolios considering the organization's strategic needs; (2) identifying quantitative and qualitative assessment criteria for project selection; (3) integrating TOPSIS with an optimization process for selecting the construction project portfolios and (4) providing a structured decision process for selecting the portfolio that best represents the interests of the institution within its limited resources and personnel.

The purpose of this paper is to report on how a grade level team in a Singapore primary school used lesson study to mediate the implementation of the English language national curriculum. It aims to explore how this process had mobilised different teachers’ knowledge, challenged their beliefs of teaching and student learning, and created impact on their learning and knowledge.

An interpretive qualitative study using a case study methodology was employed. Data collected included participant observations and individual interviews. Transcripts of lesson study discussions were open coded for the content of teacher discourse and the sources of influences on the teachers’ reasoning and action.

The findings indicate that each stage of the lesson process engaged teachers’ deliberative discourse differently and constituted their building a common inquiry stance into the problem of student learning in reading and writing, moving away from a lesson-based view to embracing a curriculum-based deliberation, and challenging their shared assumptions and enabling their learning to adopt the students’ lens in improving the research lesson.

This study provides an illustrative case on how teachers’ talk about work practices in lesson study mediated teacher learning in a group context. The study established the importance of an interconnected view of teacher interaction in lesson study that factored in the consideration of the influences at the teachers’ level and at the school’s level that enabled and/ or impeded a broader consideration of practice and richer conditions for the mentoring of novice teachers in the team.

This study explored the influence of personalized virtual try-on (PVTO) technology on consumer behavior in the apparel industry, focusing on decision comfort. It investigated how individuals’ spatial processing perception acts as a moderator in this context. Additionally, it examined the ease with which individuals imagine a product within the framework of this psychological mechanism.

Two experimental studies were conducted to evaluate the effects of PVTO technology on consumer decision comfort, with spatial processing perception as a moderating variable. The first experiment (n = 252) explored the impact of PVTO on decision comfort using photo-based simulations across various apparel items. The second experiment (n = 125) further examined these effects using measurement-based PVTO technologies to provide a deeper understanding of the role of spatial processing. Both studies employed a between-subjects design to isolate the influence of PVTO technology from other variables, ensuring a focused analysis of its effects on consumer behavior.

The findings indicated that the effects of PVTO are stronger for consumers with lower spatial perception abilities. Ease of imagining a product was identified as a mediator in the interactive effect between PVTO and spatial perception on decision comfort, demonstrating its pivotal role in online apparel shopping.

The findings indicated that the effects of PVTO are stronger for consumers with lower spatial perception abilities. Ease of imagining a product was identified as a mediator in the relationship between PVTO and decision comfort, demonstrating its pivotal role in online apparel shopping.

Decades of research offer mixed results regarding the relationship between green product strategies and corporate financial performance. On the one hand, many scholars put forward green product strategies as a source of competitive advantage and in turn enhance financial performance. On the other hand, some studies suggest the opposite – that green product strategies may encounter managerial difficulties or are too costly, consequently leading to meager, if any, financial gain. This study explores cross-country contextual differences as a contingency to resolve this inconsistency. Thus, the research question is, “Do stakeholders of a country affect the link between green product strategies and financial performance?”

Using a meta-analytic approach, the authors examine three country-level contingencies related to stakeholders: the impact of regulatory (stringency of environmental regulators), economic (consumer economic wealth) and political conditions (democratic vs. authoritarian governments) of a country in which the effects of a green product strategy on financial performance may vary.

Consistent with our predictions, the meta-analysis of 26 studies published over a 20-year period reveals that green products positively relate to financial performance in countries with lax environmental regulation, low consumer economic status and authoritarian regimes.

The authors applied both (natural) resource-based and resource dependence theories by focusing on the interactions between firms' internal resources/capabilities and the external resources that firms can access. By doing so, the study adds to our understanding of stakeholders as resource providers to enhance financial benefits of green product strategies and provide insight into key boundary conditions of the link.

Organizational citizenship behavior (OCB) was initially described as discretionary behavior not formally rewarded by the organization. However, empirical evidence has indicated that many non-task behaviors are compulsory and contribute to performance evaluation, leading to research on nondiscretionary OCB (e.g. compulsory citizenship, citizenship pressure). It is unclear whether these behaviors are best described as OCB, in-role behavior or a separate construct. The goal of the current study is to determine the conceptual and measurement overlap between OCB and nondiscretionary OCB.

In a quantitative survey design, we collected multiphasic data from 315 employees to provide evidence for the convergent/divergent validity of compulsory citizenship behavior within the OCB nomological network and separate from in-role behavior.

The results support a unique contribution of compulsory citizenship behavior to the operationalization of OCB by emphasizing the employees’ perceptions of whether they perform OCB autonomously.

This research shows a distinction that should be recognized in future research, as existing OCB theories may only apply to discretionary OCB, such that compelled citizenship is not OCB. This would explain why compulsory OCB incurs less benefits than other forms of externally-motivated (i.e. impression management) OCB.

The evolution of International Financial Reporting Standards (IFRS) was nurtured by economists and accountants loyal to the philosophical basis of what is often referred to as “Western” market economies, being classical and neoclassical contracting theories. The purpose of this paper is to illustrate how a particular Asian cultural attribute (guānxì ) impacts on the efficacy of fair value measurement.

Using a literature review and research of studies of the adoption of IFRS in China, studies of both guānxì and fair value in Chinese accounting research, this study unbundles Williamson’s governance structure and contracting theory to examine how guānxì is positioned orthogonally to fair value (market-oriented valuation) principles for financial reporting. This is followed by a case study of the events surrounding the collapse of China Medical Technologies.

Guānxì is integral to Asian economies and economic transactions. Resulting conditions, characterised by relational contracting, may not meet the qualitative characteristics of neutrality and faithful representation in fair value measurement of assets and liabilities. The same may be true when insider or “trusted party transaction” values prevail for large ticket transactions among entities in any jurisdiction.

Future research on the impact of guānxì may be constrained by its often hidden, and yet dynamic, character; and the varieties of its manifestations.

This study highlights how difficult it may be to achieve both comparability and relevance in the asset and liability recognition and measurement rules in Asian (and possibly also other) economies adopting accounting principles that are developed in a Western context.

This study focuses on home country institutions as sources of variation in the level of foreign investment into India. Our findings support the idea that institutional voids found in India are less of a deterrent to investments from home countries with high levels of institutional development than from home countries with similar institutional voids. Overall, foreign investments in India are found to be significantly related to the strength of institutions within home countries. The levels of both approved and realized foreign direct investment (FDI) are strongly influenced by economic factors and home country regulative institutions, and weakly influenced by home country cognitive institutions. When considered separately, the cognitive institutions and regulative institutions within a given home country each significantly influence the level of approved/realized FDI into India. However, when considered jointly, only the strength of regulative institutions is predictive of FDI inflows.