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This study examines the interplay between media-induced emotional crisis framing (anger vs sadness) and message sidedness of crisis response on publics’ attribution of crisis responsibility as well as subsequent company evaluation and supportive behavioral intention.

A 2 (emotion: anger vs sadness) x 2 (crisis response: one-sided vs two-sided) online experiment was conducted among 161 participants in the USA.

Results showed that anger-inducing media framing of the crisis elicited higher levels of crisis responsibility attribution and more negative company evaluation, compared with sadness-inducing media framing. One-sided message response was more effective than two-sided message response in lowering attribution of crisis responsibility when sadness was induced, but no difference was found under the anger-induced condition. Attribution of crisis responsibility fully mediated the effects of emotional crisis framing on company evaluation and supportive behavioral intention toward the company.

This study is among the first to examine the interaction effect between emotional media framing and response message sidedness in an ambiguous crisis. Drawing on the interdisciplinary theoretical frameworks, this study integrates the situational crisis communication theory, appraisal-tendency framework and message sidedness in persuasion literature. As such, it contributes to theoretical development in crisis communication and offers communication managers guidance on how to effectively address emotionally framed crises.

Between 1985 and 2000, the six largest US pharmaceutical firms entered a very active period of partnerships with other pharmaceutical firms to expand their knowledge of biotechnology-based research and development (R&D) frameworks and to bolster the growth of their drug portfolios. The purpose of this study is to examine the annual reports published by these companies for evidence of strategic framing of these partnerships.

A content analysis method was most appropriate for this study, as it allows for analysis of a large amount of information and accurate analysis over time. Ninety-six annual reports from the six major US pharmaceutical firms (Abbott, Bristol Myers Squibb, Eli Lilly, Johnson and Johnson, Merck, and Pfizer) were coded. The final codebook included 18 categories derived from framing theory. After collection, the data were uploaded to SPSS for statistical analysis.

Results indicate that mention of partnerships grew considerably in depth and length over time, but companies did not consistently employ frames to describe why or how they engaged in external partnerships.

This is the first study to assess mentions of pharmaceutical firms' external efforts to build their R&D programs and drug portfolios, from the intersecting perspectives of framing theory and the resource-based view (RBV) of the firm, to illustrate how changes were communicated to shareholders during a dynamic period of change within the industry.

Blockchain is a disruptive technology that has matured to deliver robust, global, IT systems, yet adoption lags predictions. The authors explore barriers to adoption in the context of a global challenge with multiple stakeholders: integration of carbon markets. Going beyond the dominant economic-rationalistic paradigm of information system (IS) innovation adoption, the authors reduce pro-innovation bias and broaden inter-organizational scope by using technological frames theory to capture the cognitive framing of the challenges perceived within the world’s largest carbon emitter: China.

Semi-structured interviews with 15 key experts representing three communities in China’s carbon markets: IT experts in carbon markets; carbon market experts with conceptual knowledge of blockchain and carbon market experts with practical blockchain experience.

Perceived technical challenges were found to be the least significant in explaining adoption. Significant challenges in five areas: social, political legal and policy (PLP), data, organizational and managerial (OM) and economic, with PLP and OM given most weight. Mapping to frames developed to encompass these challenges: nature of technology, strategic use of technology and technology readiness resolved frame incongruence that, in the case explored, did not lead to rejection of blockchain, but a decision to defer investment, increase the scope of analysis and delay the adoption decision.

Increases scope and resolution of IS adoption research. Technological frames theory moves from predominant economic-rational models to a social cognitive perspective. Broadens understanding of blockchain adoption in a context combining the world’s most carbon emissions with ownership of most blockchain patents, detailing socio-technical challenges and delivering practical guidance for policymakers and practitioners.

This study examines how assurors make sense of sustainability assurance (SA) work and how interactions with assurance team members and clients shape assurors’ sensemaking and their actual SA work.

To obtain detailed accounts of how SA work occurs on the ground, this study explores three SA engagements by interviewing the main actors involved, both at the client firms and at their Big Four assurance providers.

Individual assurors’ (i.e. partners and other team members) sensemaking of SA work results in the crafting of their logics of action (LoAs), that is, their meanings about the objectives of SA work and how to conduct it. Without organizational socialization, team members may not arrive at shared meanings and deviate from the team-wide assurance approach. To fulfill their objectives for SA work, assurors may engage in socialization with clients or assume a temporary role. Yet, the role negotiations taking place in the shadows of the scope negotiations determine their default role during the engagement.

Two options are available to help SA statement users gauge the relevance of SA work: either displaying the SA work performed or making it more uniform.

This study theoretically grounds how assurors make sense of SA work and documents how (the lack of) professional socialization, organizational socialization and socialization of frequent interaction partners at the client shape actual SA work. Thereby, it unravels the SA work concealed behind SA statements.

The study applies Erving Goffman's (1974) “frame analysis” principles to examine how Sharia governance is practiced in Islamic banks and explores the interaction and strategies adopted by bank managers to influence the decisions of Sharia scholars. The study also aims to identify inherent flaws in the Sharia compliance review system.

The study employs the principles of Goffman as a lens to critically analyse a rich dataset obtained through interviews undertaken with 46 key players operating in the governance framework of the Malaysian Islamic banking industry due to its progressive Islamic governance framework.

The study demonstrates that managers of Islamic banks may engage in “passing” and “covering” strategies while interacting within the governance structure. Concurrently, Sharia boards (SBs) implement “protective practices” during their interactions, adding complexity to their responsibilities within the banks. Consequently, SBs cannot merely be viewed as instruments for legitimising banking operations. This raises questions about the “impression management,” “concealment” and “competence” strategies employed by managers and SB members, as suggested by Goffman's framework. These findings indicate that there is room for further enhancement in the governance practices of Islamic banks.

Future research could explore aspects related to the governance of Islamic banks, such as investigating the independence and effectiveness of internal Sharia officers. Examining the strategies employed during their interactions with external Sharia boards and other stakeholders could provide further valuable insights.

By highlighting shortcomings in the governance and compliance review process, the findings could serve as a valuable resource for policymakers. The insights derived could inform the development of regulations aimed at reducing opportunistic behaviour and promoting accountability in the Islamic banking sector.

This study uniquely employs Goffman's concepts of “frontstage” and “backstage” strategies to offer insights into the interactions between Islamic bank managers and SBs and the impact of these interactions on Sharia compliance. The study contributes to the understanding of the dynamics between key players in the governance of Islamic banks and the factors influencing their adherence to Sharia principles.

Although growing Internet penetration in the hinterlands has attracted agribusinesses to promote digital platforms, farmers are sceptical about using them. The literature discusses agricultural platforms from the theoretical perspective of technological determinism, where the platforms are developed and promoted by firms in a top-down manner to be accepted by farmers. However, this approach results in poorly configured platforms with limited utility for farmers. It is evident from the existing literature that the mere creation of a platform business is not sufficient to guarantee adoption by users. Hence, this study explores how to make the agricultural platform more attractive for farmers.

The present study is based on a discrete choice experiment performed on 126 Indian farmers using agricultural platforms. The data were analysed using the conditional logistic regression method.

The study suggests that farmers expect government and cooperative entities to be also embedded with the platforms. Complementary features such as prompt service, competitive pricing and farm credit were identified as essential attributes. Further, the platforms should enable smallholders to trade farm produce by providing a mechanism for real-time online nudging and bargaining with buyers.

The study is based on the applications of random utility theory. The research has utility for Agtech managers, cooperative institutions and agricultural policymakers.

This is one of the first studies focussing on agricultural platform design from the farmers' perspective. The study implies that incorporating preferred attributes can help practitioners configure platforms to benefit farmers with prospects concerning farm management decisions.

The purpose of this paper is to contribute to science communication literature by further highlighting the underexplored role of organizational and corporate perspectives in science communication.

The paper takes the form of a conceptual article that uses two illustrative vignettes to highlight the power of corporate science communication.

The key argument is that corporate science communication is a compound ideology that results from merging the hegemonic corporate voice with the ultimate/god-term science (see the work of Kenneth Burke) to form a mega-ideological construct and discourse. Such communication can be so powerful that vulnerable publics and powerful advocates speaking on their behalf have little to no recourse to effectively challenge such discourse. While critiques of corporate science communication in practice are not new, what the authors offer is a possible explanation as to why such discourse is so powerful and hard to combat.

The value of this paper is in the degree to which it both sets an important applied research agenda for the field and fills a critical void in the science communication literature. This conceptual article, in the form of a critical analysis, fills the void by advocating for the inclusion of organizational perspectives in science communication research because of the great potential that organizations have, via science communication, to shape societal behavior and outcomes both positively and negatively. It also coins the terms “compound ideology” and “mega-ideology” to denote that while all ideologies are powerful, ideologies can operate in concert (compound) to change their meaning and effectiveness. By exposing the hegemonic power of corporate science communication, future researchers and practitioners can use these findings as a foundation to combat misinformation and disinformation campaigns wielded by big corporate science entities and the public relations firms often hired to carry out these campaigns.

This interdisciplinary study aims to analyze how service organizations communicate sustainable beliefs in their social media narratives and use them to generate brand awareness, customer recognition and ongoing demand for sustainable service.

A two-phase exploratory analysis of 10,342 tweets from 2019–2020 was conducted by sustainable global corporations to identify best practices for their social media teams operating within a service-based business model. First, the significant themes were identified using an unguided machine learning approach of three types of firms: services, goods and mixed. Next, the full set of tweets with linguistic sentiment analysis was analyzed followed by a deeper view of the services-based organizations based on their strategic focus (business-to-business [B2B] versus mixed).

The findings indicate that tweets that appear to create the highest customer engagement are characterized as having high levels of analytical language, high clout (i.e. are socially relevant), a positive tone, a high number of words and a high number of words per sentence. On the other hand, having complex language in terms of six-letter words does not seem to associate with customer engagement. The last level of analysis shows that B2B services-based corporations with positive tone and higher word count exhibit higher levels of retweets. Implications include providing rational and informational tweets to increase engagement and highlight societal relevance.

Climate change has negative consequences on human and physical capital, and ecosystems across the globe. This study provides specific recommendations for how services corporations can increase their sustainable communications and actions.

The key implication of our research is that corporations must strategically design social media narratives about climate change as part of their online branding and communications process.

The purpose of this study is to determine if blockchain-supported carbon offset information provision and shipping options with different cost and environmental footprint implications impact consumer perceptions toward retailers and logistics service providers. Blockchain and carbon neutrality, each can be expensive to adopt and complex to manage, thus getting the “truth” on decarbonization may require additional costs for consumers.

Experimental modeling is used to address these critical and emergent issues that influence practices across a set of supply chain actors. Three hypotheses relating to the relationship between blockchain-supported carbon offset information and consumer perceptions and intentions associated with the product and supply chain actors are investigated.

The results show that consumer confidence increases when supply chain carbon offset information has greater reliability, transparency and traceability as supported by blockchain technology. The authors also find that consumers who are provided visibility into various shipping options and the product's journey carbon emissions and offset – from a blockchain-supported system – they are more willing to pay a premium for both the product and shipping options. Blockchain-supported decarbonization information disclosure in the supply chain can lead to organizational legitimacy and financial gains in return.

Understanding consumer action and sustainable consumption is critical for organizations seeking carbon neutrality. Currently, the literature on this understanding from a consumer information provision is not well understood, especially with respect to blockchain-supported information transparency, visibility and reliability. Much of the blockchain literature focuses on the upstream. This study focuses more on consumer-level and downstream supply chain blockchain implications for organizations. The study provides a practical roadmap for considering levels of blockchain information activity and consumer interaction.

The study examined the personal information management (PIM) challenges encountered by faculty in six universities in Ghana, their information refinding experiences and the perceived role of memory. The study tested the hypothesis that faculty PIM performance will significantly differ when the differences in the influence of personal factors (age, gender and rank) on their memory are considered.

The study was guided by a sample survey design. A questionnaire designed based on themes extracted from earlier interviews was used to collect quantitative data from 235 faculty members from six universities in Ghana. Data analysis was undertaken with a discrete multivariate Generalized Linear Model to investigate how memory intermediates in the relationship between age, gender and rank, and, refinding of stored information.

The paper identified two subfunctions of refinding (Refinding 1 and Refinding 2) associated with self-confidence in information re-finding, and, memory (Memory 1 and Memory 2), associated with the use of complimentary frames to locate previously found and stored information. There were no significant multivariate effects for gender as a stand-alone variable. Males who were aged less than 39 could refind stored information irrespective of the memory class. Older faculty aged 40–49 who possess Memory 1 and senior lecturers who possess Memory 2 performed well in refinding information. There was a statistically significant effect of age and memory; and rank and memory.

This study was limited to faculty in Ghana, whereas the study itself has implications for demographic differences in PIM.

Identifying how memory mediates the role of personal factors in faculty refinding of stored information will be necessary for the efforts to understand and design systems and technologies for enhancing faculty capacity to find/refind stored information.

Understanding how human memory can be augmented by technology is a great PIM strategy, but understanding how human memory and personal factors interplay to affect PIM is more important.

PIM of faculty has been extensively examined in the literature, and limitations of memory has always been identified as a constraint. Human memory has been augmented with technology, although the outcome has been very minimal. This study shows that in addition to technology augmentation, personal factors interplay with human memory to affect PIM. Discrete multivariate Generalized Linear Model applied in this study is an innovative way of addressing the challenges of assimilating statistical methodologies in psychosocial disciplines.