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The purpose of this article is to explore the impression management practices in Covid-19 related discourses in the annual reports of the insurance companies in Bangladesh.

To fulfil this objective, the authors have conducted a discourse analysis of the Covid-19 related corporate narratives in the latest annual reports of listed insurance companies. The findings are then interpreted through the lens of impression management theory, following the impression management strategies identified by Caliskan et al. (2021).

It is found that companies tried to manage the impression of the stakeholders through the strategic use of language. There is evidence that the companies used assertive and performance-oriented tactics to impress their stakeholders. In few cases, defensive strategies were applied.

This study will facilitate improving the understanding of corporate communication during the Covid-19 crisis. Policymakers will be able to understand the current status of Covid-19 related disclosures and consider the necessity to provide guidance that may lead to better accountability during the crisis.

This study will contribute to the limited literature on Covid-19 related disclosure from the context of developing economies. This research is methodologically novel as it applies discourse analysis and interprets the findings through the lens of impression management.

Corporate corruption reporting (CCR) is an emerging issue of the corporation for measuring transparency, integrity and accountability to the stakeholders and society. The purpose of this paper is to examine the role of CCR and financial management responsibility regarding the issue of corruption control.

To explore the influences of corruption disclosure, this study considers the keywords-based content analysis of the listed financial firms of the Dhaka Stock Exchange in Bangladesh for 2012–2016. The research considers stakeholders and theoretical legitimacy lens for discussing corporate corruption disclosure. This study identified 143 self-driven keywords by classifying, analyzing and selecting the appropriate large set of keywords from the prior literature. This study examines 247 firm-year observations of all financial firms in Bangladesh using secondary data sources.

The results of the hierarchical regression analysis report that financial firms following Sharia principles have a negative and significant association with CCR, while Big4 has a positive and significant influence. Moreover, the interaction effect of Big4 on the relationship between Sharia principles and CCR is negative and insignificant. The findings reported that Islamic financial firms disclose less corruption information than conventional financial firms in Bangladesh.

This study findings are expected to significantly impact corporate management and policymakers of developing and highly corrupted economies to enhance corporate accountability, transparency and reputation. The regulatory body can consider the findings to promulgate anti-corruption reporting rules and regulations.

The authors believe the theoretical lens used to support the method and findings of this paper are unique and novel.

This study aims to explore COVID-19-related accounting disclosures using sociological disclosure analysis (SDA) within the context of the developing economy of Bangladesh.

COVID-19-related accounting disclosures from listed banks’ annual reports have been examined using three levels of SDA: textual, contextual and sociological interpretations. Data were gathered from the banks’ 2019 and 2020 annual reports. The study uses the legitimacy theory as its theoretical framework.

The research reveals a substantial shift in corporate disclosures due to COVID-19, marked by a significant increase from 2019 to 2020. Despite regulatory and professional directives for COVID-19-specific disclosures, notable non-compliance is evident in subsequent events, going concern, fair value, financial instruments and more. Instead of assessing the implications of COVID-19 and making disclosures, companies used positive, vague and subjective wording to legitimize non-disclosure.

The study’s insights can inform regulators and policymakers in crafting effective guidelines for future crisis-related reporting like COVID-19. The research adds to the literature by methodologically using SDA to explore pandemic-specific disclosures, uncovering the interplay between disclosures, legitimacy and stakeholder engagement.

This study represents a pioneering effort in investigating COVID-19-specific disclosures. Moreover, it uses the SDA methodology along with the legitimacy theory to analyze accounting disclosures associated with COVID-19.

This study examines whether engagement with Sustainable Development Goal (SDG)-focused specialized training programs enable senior public officials (focal actor) to collectively deliver on public services that have a transformational societal impact over time. Further, the study explores the factors that impede and facilitate the delivery of such services. The authors do so by using service mechanics theorization and drawing on the lens of actor and collective engagement.

This study undertakes a longitudinal exploratory qualitative study design. SDG-focused training programs were delivered, as interventions, for two cohorts of senior public officials from Bangladesh in an Australian University in 2017 and 2019. In-depth interviews were conducted upon the training's completion and then after 8- and 12-month intervals to assess the short- and long-term impact respectively.

An empirical framework is proposed from the study findings. It shows that engagement – cognitive, emotional and behavioral – with SDG-focused specialized training programs enables focal actors (i.e. senior public officials) to engage other actors (other public officials, community members) in networks, facilitated the delivery of SDG-aligned public services. Such engagement results in a transformative impact that spans micro (individual), meso (organizational) and macro (societal) levels over time. Factors that impede and facilitate SDG-aligned delivery of public services are also identified.

Theoretically, the authors contribute to the literature that relates to actor and collective engagement, SDG-focused capacity-building training programs and service mechanics. Practically, this study informs organizations about the ways that they can effectively engage their senior employees with capacity-building training programs that focus on sustainability.

This study is one of the few that connects the interface between public service delivery for enacting societal changes and SDG-focused capacity-building training programs through service mechanics theorization and using the lens of actor and collective engagement.

The purpose of this paper is to examine the impact of trade openness on the cost of financial intermediation and bank performance. Developed and developing countries are currently pursuing trade openness to achieve higher bank performance with less intermediation costs.

In attaining the study's objectives, several regression methodologies were employed (i.e. system generalized method of moments (GMM), fixed effect, pooled ordinary least squares (OLS) and vector error correction model (VECM)). The authors tested the hypothesis on data of 885 banks from BRICS countries, which span 18 years (2000–2017).

The results from this robust study showed that embedding higher trade openness reduces financial intermediation costs and improves banks' performance. The results remain robust following the use of different estimation methods and alternative variables as proxies. In addition, results were still valid upon considering bank level, industry level and country level as control variables. It was also observed that the relation pattern holds its rigidity during “good” and “bad” times (i.e. the global financial crisis).

The results provide better references for bank regulators, academics and policymakers to take advantage of the low financial intermediation costs resulting from trade openness.

Drawing on the dynamic capability view (DCV), this research determines the suitable configurations of resilience strategies for sustainable tourism supply chain performance amidst “extreme” disruptive events affecting the entire supply chain.

This research applies a multi-study and multi-method approach. Study 1 utilizes in-depth interviews to identify a list of tourism supply chain sustainability risks and resilience strategies. Study 2, using quality function deployment (QFD) technique, determines the most important resilience strategies corresponding to highly significant risks. Study 3, on the other hand, adopts a fuzzy set qualitative comparative analysis (fsQCA) to determine the best recipe of resilience strategies and risks to make the tourism supply chain performance sustainable.

The findings reveal that sustainable tourism performance during an extreme disruptive event (e.g. COVID-19 health crisis) depends on the combined effect of tourism resilience strategies and risks instead of their individual effect.

The research findings offer significant managerial implications. Managers may experiment with multiple causal conditions of risks and resilience strategies to engender the expected outcome.

This research extends current knowledge on tourism supply chain and offers insights for managers to mitigate the risks and ensures sustainable performance in the context of extreme disruptive events.

In today's business environment, big data is viewed as the “new oil,” which is rapidly changing the traditional business models and mode of operations. According to commentaries and scholarly work, big data and its applications have penetrated deeply into the very core of the products, services, and functional areas of many firms. What remains unclear is how using this “new oil” (big data) and “new technique” (data diagnosticity) can result in new “products and processes.” The purpose of this paper is to examine the effects of big data usage on product and process innovation, and the moderating role of data diagnosticity on said associations.

Data were obtained from Turkish firms that utilize big data in their daily operations and analyzed with the partial least squares' structural equation modeling technique.

The findings revealed that big data usage is a predictor for higher product and process innovation. Diagnostic capabilities of the firms did not amplify the link between big data usage and product innovation, big data usage and process innovation.

This paper is among the first study to examine the association of big data usage, data diagnostic capabilities, product, and process innovations in the Turkish context. Implications for theory and practice are discussed.

Presenteeism is the productivity loss due to working with ill health. This paper aims to develop a presenteeism scale for students (PSS) and reveals its association with the academic achievement of undergraduate (Bachelor) students.

This is a cross-sectional study based on a reputed public university in Bangladesh. The study collected data from 164 undergraduate students by relying upon the systematic random sampling technique.

Nearly 70 percent of the study population have reported some health problems, with male students reporting frustration (59.6 percent) and female students reporting migraine (61.2 percent) as the most prevalent issues. Predictors such as gender, living status, television and social media use, absenteeism, physical activity, BMI (body mass index), hygienic meal intake, exhaustion score and PSS score have significantly influenced presenteeism and reduced academic performance. As many students face multiple health issues, it is recommended that the issue of presenteeism on university campuses be addressed.

This study breaks from the conventional approach of studying presenteeism in business settings and expands knowledge in the education domain. Additionally, it examines the interconnection of primary health conditions, work impairment score, presenteeism and academic performance.

This study examines the effect of contextual perceived value activated by contextual marketing offers and information privacy concerns on consumer loyalty in mobile commerce.

The survey was conducted through 340 mobile users in Morocco and the collected data were analyzed using structural equation modeling.

This study's results show that contextual marketing and information privacy concerns are key determinants in improving customer loyalty in the m-commerce context. Perceived ubiquity has a positive impact on perceived trust, which also impacts consumer loyalty. Information privacy concerns also have a positive impact on customer satisfaction, yet it does not impact perceived trust, which is contrary to the results of other researchers. It can also be concluded that customer satisfaction and trust are important antecedents of consumer loyalty.

This research gives rise to some important managerial and strategic implications in order to integrate contextual marketing strategies, as well as theoretical implications that concern this field of study.

This research makes a significant contribution to knowledge by examining the role of contextual marketing and information privacy concerns in the m-commerce context. These results will be considered useful for marketers and for businesses in general who wish to integrate a marketing strategy that is based on a customer-centric approach. It also contributes to the related literature, as there are few studies focused on m-commerce and contextual marketing within the context of Morocco.

This chapter explores the concept of corporate social responsibility (CSR) from an Islamic Shari'ah-compliant perspective. It provides a comprehensive literature review on CSR with an explicit focus on the Islamic perspective of CSR, Islamic models of CSR, CSR practices in conventional and Islamic banks, and the consequences of CSR to Islamic banks. This chapter's main contribution lies in considering the current CSR literature from a Shari'ah perspective. Likewise, it identifies gaps in the current literature and suggests potential areas for future research. This chapter attempts to improve the understanding of how Islamic banks integrate social responsibility into their operations. The insights from this chapter are helpful to practitioners and academic scholars in Islamic finance, accounting, and CSR. This chapter emphasizes the importance of incorporating Islamic values and principles into CSR practices and encourages further research and investigation in this area.