Search results

The purpose of this study is to examine how factual information and misinformation are being shared on Twitter by identifying types of social media users who initiate the information diffusion process.

This study used a mixed methodology approach to analyze tweets with COVID-19-related hashtags. First, a social network analysis was conducted to identify social media users who initiate the information diffusion process, followed by a quantitative content analysis of tweets by users with more than 5K retweets to identify what COVID-19 claims, factual information, misinformation and disinformation was shared on Twitter.

Results found very little misinformation and disinformation distributed widely. While health experts and journalists shared factual COVID-19-related information, they were not receiving optimum engagement. Tweets by citizens focusing on personal experience or opinions received more retweets and likes compared to any other sender type. Similarly, celebrities received more replies than any other sender type.

This study helps medical experts and government agencies understand the type of COVID-19 content and communication being shared on social media for population health purposes.

This study offers insight into how social media users engage with COVID-19-related information on Twitter and offers a typology of categories of information shared about the pandemic.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2021-0143/.

While innovative work practices (IWPs), such as self-directed teams and performance related pay, have become commonplace in firms around the world, little is known about their nature and effects in emerging market countries. This study uses new data collected from face-to-face interviews with large samples of workers from two manufacturing firms in Lithuania in 2005 mainly to investigate hypotheses concerning the effects of IWPs on firm and worker outcomes. In these cases we find: (i) the range of IWPs is limited though particular IWPs, notably self-directed teams, are strongly evident; (ii) in view of the historical legacy, the incidence of some outcomes, notably monitoring, was surprisingly high; (iii) typically self-directed teams positively impact worker outcomes, notably job satisfaction and employee involvement, though effects on monitoring and effort are less frequent; (iv) typically equity ownership and bonuses do not affect worker outcomes, though positive impacts on effort and peer monitoring sometimes are found; (v) the evidence for complementary effects of teams and performance pay or financial participation is very weak. In the main, these findings do not support the mutual gains theory that IWPs positively impact both firm and worker outcomes.

This study aims to investigate the mental health treatment journeys of stigmatized consumers using user-generated content (UGC) while also examining the role of UGC in the journey.

This study offers valuable insights from 68 distinct, stigmatized consumers through a qualitative content analysis of 73 YouTube product review videos related to ten antidepressants. Data is coded, combining inductive coding with theory to provide a nuanced interpretation. Applying the Common-Sense Model of Self-Regulation to traditional consumer journey concepts, the analysis of UGC is structured by a unique mental health treatment journey.

The findings show that consumers use UGC to destigmatize their mental health treatment by engaging in dynamic reflection throughout their journey, rather than following traditional feedback models. Unlike typical consumption patterns, where search is limited to the initial stage, these consumers search at every journey phase while sharing insights that offer valuable support to others which, sometimes they report, is reciprocated by viewers.

Theoretically, this study introduces an innovative framework blending psychological and marketing theories to address a gap in health-care service marketing literature concerning long-term mental health treatment journeys. By introducing the concept of dynamic reflection, it demonstrates how consumers actively engage in and share insights throughout their treatment process, differing from traditional feedback models, and highlights the impact of UGC on health-care service provision.

Findings could inform potential health-care provider interventions that may improve treatment effectiveness.

Although stigmatized consumers’ experiences have been examined, their treatment experiences have not been framed within a journey framework.

This paper aims to contribute to the emerging body of research on firestorms, specifically on the inflammatory user-generated content (UGC) created in response to brand transgressions. By analyzing and segmenting UGC created and shared in the wake of three different events, the authors identify which type of inflammatory message is most likely to be widely shared; thus, contributing to a possible online firestorm.

Tweets were collected involving brand transgressions in the retail, fast food and technology space from varying timeframe and diverse media coverage. Then, the tweets were coded for message intention and analyzed with linguistics software to determine the message characteristics and framing. A two-step cluster analysis identified three types of UGC.

The authors found that message dimensions and the framing of tweets in the context of brand transgressions differed in characteristics, sentiment, call to action and the extent to which the messages were shared. The findings contradict traditional negative word-of-mouth studies involving idiosyncratic service and product failure. During online brand firestorms, rational activism messages with a call to action, generated in response to a firm’s transgression or “sparks,” have a higher likelihood of being shared (virality).

This research provides novel insights into UGC created after brand transgressions. Different types of messages created after these events vary in the extent that they “fan the flames” of the transgression. A message typology and flowchart are provided to assist managers in identifying and responding to three message types: ash, sparks and embers.

All countries use public procurement to some degree to further policy objectives such as sustainability, innovation, fighting fraud and corruption, value for taxpayers' money etc. Countries may learn from past successes and failures in other countries while implementing these policies: cross-country learning. In this exploratory study, we investigate cross-country learning across two frequently used policy areas: sustainability and innovation. A threefold methodology was used that consisted of (1) an extensive review of scientific literature complemented by (2) a thorough examination of policy documents and (3) interviews with leading public procurement experts from 10 countries including both developing and developed countries. The main findings indicate that there is no hard evidence for cross-country learning. Even if cross-country learning would exist, the lessons learned seem to remain largely implicit.

The topic of organizational culture has attracted the attention of numerous researchers from both quantitative and qualitative perspectives. A review of the literature shows that the quantitative assessment of organizational culture has been dominated by studies adopting the competing values framework developed by Quinn and his colleagues. The use of this model embraces the notion that the 4 cultural types depicted by the framework can be used not only to represent the culture of an organization but also to serve as a basis upon which one organization can be differentiated from others. Various attempts have been reported to support the validity of the framework for describing the culture of an organization; however, the claim that one organization can be differentiated from another on the basis of the 4 cultural types is yet to be empirically supported. The study reported here set out to show that the competing values model can be used to differentiate organizations from one another. Based on a survey administered to all academic staff in 7 out of the 8 government‐funded higher education institutions in Hong Kong, the study successfully confirmed the validity of the competing values model as a tool in differentiating organizations.

Purpose: The scope of this research is to conduct a study on the perceived effectiveness of developments in InsurTech, by determining online use integration in the Maltese insurance market.

Methodology: To do this, the authors employed a self-administered questionnaire to which 471 participants responded on a 5-point Likert scale. We subjected the data collected from this questionnaire to statistical analysis, specifically, exploratory factor analysis (EFA) and multiple linear analysis using the Statistical Package for Social Science (SPSS) version 26.

Results: EFA loaded best on five factors of insurance customers’ perceived effectiveness, which make up the effectiveness model (EM), namely ‘Factor 1 – Internal Process Enhancement’, ‘Factor 2 – Cost-Efficiencies’; ‘Factor 3 – Time-Sensitive Conditions’, ‘Factor 4 – The Contemporary Use of Artificial Intelligence and Marketing in Relation to Customer Service’ and ‘Factor 5 – Customer Relations and Application of InsurTech in Communication’. Moreover, multiple linear regression results show that the perceived effectiveness dimension – EM is statistically significantly related to online use in Malta.

Practical implications: Therefore, it can be argued that the Maltese insurance sector is well prepared to meet the obligations and requirements of the European Green Deal. Findings shed light on the preparedness of the Maltese insurance market to accept innovative green proposals to go online with processes.

The authors surveyed city administrators in the six-county Chicago region to test an innovation management capacity process model. Innovation management capacity is conceptualized as the function of council-staff functionality, managerial leadership capacity, and staff team management. The empirical results from 220 city administrators in 53 cities support the hypothesis that the number of municipal innovations is positively correlated with innovation management capacity, controlling for structural, socioeconomic, and demographic variables. However, this study does not find a statistical relationship between innovation effectiveness and innovation management capacity. The authors posit two possible explanations for these results and propose an alternative innovation management capacity process model for testing in future research.

This paper analyzes five characteristics associated with the overall decision‐making process that are necessary to achieve a high degree of perceived procedural justice within four strategic contexts of focal subsidiaries. Strategic contexts are based on the role of subsidiaries as defined by the flow of knowledge between these subsidiaries and the global network of MNCs. Propositions are developed that relate the five characteristics, the four strategic contexts, and high perceived procedural justice. The propositions represent a template for managers and researchers interested in the successful implementation of global strategic decisions and the improvement of the performance of individual subsidiaries as well as the global competitiveness of multinational corporations.