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This paper aims to identify, examine, and present an empirical research design of behavioral finance of potential investors during Covid-19.

A well-structured questionnaire was designed; a survey was conducted among potential investors using convenience sampling, and 200 valid responses were collected. The research work uses multiple regression and discriminant function analysis to evaluate the influence of cognitive factors on the financial decision-making of investors.

Recency and familiarity bias are proven to have the highest significant impact on the financial decisions of investors followed by confirmation bias. Overconfidence bias had a negligible effect on the decision-making process of the respondents and found insignificant.

Covid-19 is a temporary phase that may lead to changes in financial behavior and investors’ decisions in the near future.

The paper will help academicians, scholars, analysts, practitioners, policymakers and firms dealing with capital markets to execute their job responsibilities with respect to the cognitive bias in terms of taking financial decisions.

The present investigation attempts to fill the gap in the literature on the intended topic because it is evident from literature on the chosen subject that no study has been undertaken to evaluate the impact of cognitive biases on financial behavior of investors during Covid-19.

Research suggests that centers of calculation, empowered by accounting inscriptions, are similar to maps: they provide a useful, albeit simplified, version of reality. The purposes of this paper are to examine whether and how digital platforms change the nature of centers of calculation, and to improve the understanding of the relationship between digital platforms and accounting.

An in-depth, single case-study design is used to empirically investigate how a Nordic hotel chain competed with global online travel agencies (OTAs) in the quest for the “new oil”—customer data.

The paper demonstrates how the case organization created a local alternative to global digital platforms with the aim of acquiring customer data, thereby moving from a center of calculation (CoC) to what authors label a “center of data appropriation” (CDA). While CoCs are guided by accounting inscriptions that enable “mapping”, CDAs are constructed around accounting inscriptions with other properties that enable digital “mirrors” of the economic domain. The authors find that this has two governing effects. First, multiple centers emerge that compete for access to the periphery. Second, future forms of competition can follow dynamic trajectories, where mutual dependence between CDAs may lead to coopetition.

Scholars have suggested that surveillance capitalism creates market-power imbalances. This study indicates that the transformation of local organizations into CDAs enables them to challenge global digital-platform organizations. Therefore, authors argue that local organizations may retain some market power by establishing local CDAs.

This study seeks to: (1) discuss how the integrated reporting (IR) framework may provide the principles, concepts and the key elements to support the analysis and representation of circular economy (CE)–related activities and information; (2) explore how and to what extent current IR practices are including and disclosing CE-related information; (3) investigate through an exploratory case study the interplays between IR and CE.

Building on a theoretical analysis of the interplays between CE and IR, this study first performs textual content analysis on a dataset of 84 integrated reports to determine the type and extent of CE-related disclosure. Subsequently, the article presents and discusses an exploratory case study developed according to an action research perspective.

Through textual content analysis, the study provides data on CE-related reporting practices for 74 organizations operating worldwide, highlighting differences in reporting choices and emphasizing the role played by IR concepts. Through the exploratory case study, this article provides insights on how IR principles support the analysis and the (re)presentation of CE-related information.

Content analysis is used to explore how and to what extent companies disclose CE-related information, not to investigate the quality of such disclosure. Only one single exploratory case study is used.

This article advocates to embed CE data into integrated reports and according to IR principles. The exploratory case study offers useful insights and examples.

This work represents one of the first studies advocating and exploring the interplays between CE and IR. Additionally, this study aids in the development of a more standardized and established terminology for CE research and reporting practices.