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This paper aims to focus on exploring and understanding the practice of analyzing the determinants of the Moroccan Dirham by foreign exchange professionals in trading rooms in the context of transitioning to a more flexible regime initiated by Moroccan authorities. The objective of this study is to highlight how foreign exchange operators analyze the determinants of the Moroccan Dirham in the context of exchange rate liberalization, focusing primarily on qualitative data rather than quantitative data.

Therefore, this paper opted for a methodological approach using interview surveys to understand the underlying behavior of Moroccan foreign exchange operators, conducting a content analysis. This paper targeted six foreign exchange operators from nine Moroccan banks authorized as market makers by Bank Al-Maghrib.

The results indicate that the fluctuations of the Moroccan Dirham are closely linked to two main factors: the analysis of the EUR/USD exchange rate and market liquidity analysis. Furthermore, content analysis revealed five essential aspects regarding the practice of analyzing the determinants of the Dirham: “Dirham determinants,” “complementarity between technical analysis and fundamental analysis,” “trends and reversals,” “utility of macroeconomic models” and “psychological factors.”

Certainly, this methodology allows for exploring and understanding the underlying behavior of currency operators but inherently generates a certain degree of subjectivity that can affect the research validity. Indeed, the subjectivity can arise from the responses of the currency operators themselves. They may present the phenomenon coherently or selectively choose the elements they remember to respond to. On the other hand, the validity of this type of research relies on the researcher's ability to cultivate empathy throughout the knowledge creation process. The empathetic stance adopted in this study proved to be complex due to the uniqueness of operators and interaction, sometimes making it challenging to combine empathy, respect and critical thinking (Olivier De Sardan, 2004). Furthermore, the researcher is often faced with an interpretation bias, which can manifest not only during the coding of collected data but also during the analysis of the constructed content. To mitigate this interpretation bias, this paper subjected the collected data to a double coding procedure.

This study aims to narrow the gap in opinions between academics and practitioners by providing a practical overview for change novices.

This study is the pioneering inquiry exploring the process of determining the Moroccan dirham within the transition to a flexible exchange rate regime, using an exploratory methodological approach.

This paper aims to explain and demonstrate how the Repertory Grid Technique (RGT) and Honey’s Content Analysis (HCA) can make new contributions to the field of Operations and Supply Chain Management (OSCM). The proposition involves integrating these complementary analyses to fortify the rigor of qualitative research and establish robust data analysis protocols to identify the main attributes of interviewees regarding a phenomenon while understanding in their perspective how these attributes impact the desired analysis outcome.

This study uses examples with rich empirical data from 40 interviewees across two organizations. The examples use a protocol that allows the grouping of meanings from different knowledgeable individuals and capturing relevant constructs related to an outcome.

The combination of RGT and HCA permits researchers to effectively identify and analyze the constructs individuals and groups utilize to comprehend the subject matter under investigation. Consequently, these techniques present a structured means to conduct grounded theory investigations and interpretive research, thereby enabling the iterative development of the preliminary conceptual models necessary for OSCM field advancement.

We present two examples in which the protocol is applied to the field of OSCM. These examples illustrate that the techniques provide valuable opportunities for OSCM research, particularly for addressing the limitations related to sample size. Ultimately, RGT and HCA complement quantitative methodologies by uncovering nuanced variations and micro-foundations within firm- and network-level phenomena, offering insights essential for advancing our understanding of OSCM dynamics in specific contexts.

This study aims to investigate the use of voluntary disclosure on mainstream social media platforms to examine strategic responses to the COVID-19 pandemic. It examines the influential factors and institutional pressures organisations faced when making disclosures on social media during the pandemic.

A two-stage qualitative approach was adopted. Stage one used content analysis to examine voluntary disclosures made by international organisations on social media during the emergence of the COVID-19 pandemic. Stage two comprised semi-structured interviews with individuals who were involved in the decision-making process around the social media disclosures.

This study’s findings reveal significant changes in disclosure practices due to COVID-19-related pressures. In addition to the utilisation of social media for signalling conformance with new pandemic-related norms and connecting with stakeholders, the evidence also reveals how organisations made use of strategic responses to COVID-19-related institutional pressures.

The findings reveal how social media was used as a means of timely voluntary disclosure during the examined crisis. The findings can inform the development of organisational guidelines and policies for the use of social media as a disclosure medium.

This study reveals how organisations used voluntary disclosure on social media as a strategic response to institutional pressures and the COVID-19 pandemic; this context is under-researched. The study also extends the application of the strategic response framework regarding voluntary disclosure via social media.

As one of China’s most influential social platforms, Xiaohongshu is considered an underexploited market with significant user traffic. This study aims to build on existing scholarly work on social media marketing by conducting an empirical analysis of Xiaohongshu’s content to explore effective marketing strategies for children’s books.

This study uses qualitative content analysis to investigate the marketing practices for children’s books on Xiaohongshu. By systematically coding and interpreting data, the authors identified core marketing strategies and their interactions among publishers of children’s books on the platform.

Based on viral marketing and social proof theories, the analysis delineates practices and interrelations among three key marketing strategy components: content creation, traffic navigation and sales conversion on Xiaohongshu. From this analysis, a conceptual model titled “Continuous ‘Planting a Seed’ of Interest: Strategies for Marketing Children’s Books on Xiaohongshu” was developed.

This research not only corroborates the existing literature on the transformative power of social media in marketing but also extends it by providing a focused examination of how these principles apply to the promotion of children’s books on Xiaohongshu. It also provides practical insights for publishers looking to develop effective marketing strategies.

The field of international business (IB) formally welcomes and frequently calls for case study research, but the proportion of case study papers appearing in IB journals remains very small. This paper aims to support efforts to redress this imbalance by addressing an overlooked yet critical issue: the (mis)use of tenses when theorizing from case study findings. The authors reveal a pervasive use of the present tense and argue that this leads to decontextualization and, in turn, over-generalization. The paper also suggests ways in which this problem may be avoided in the future, thereby improving the credibility and status of case-based research and helping to de-marginalise it within IB.

A qualitative content analysis was applied to all (2,627) papers published between 2011 and 2021 in four leading IB journals. In total, 171 case study papers were identified over these 11 years, and a deeper content analysis was then performed to measure the extent of decontextualization/over-generalization implied by the inappropriate use of the present tense in the discussion and theorisation of research findings.

This study found that, out of 171 case study papers identified, 141 (82.5%) provided at least two instances of over-generalization as implied by the misuse of the present tense. However, some of these papers were found to feature statements that could be claimed to mitigate such inappropriate generalization. These mitigating factors included the repeated use of adverbial phrases denoting context and the use of a “propositional style” that clearly distinguished contextual findings from speculative, decontextualized generalizations. Nevertheless, 71 of the 171 (41.5%) papers still demonstrated inappropriate generalization, even after allowing for mitigating factors.

This study reveals a problematic writing practice and one which has arguably significantly contributed to the “decontextualization” problem critiqued in IB and management studies more broadly. The study also offers further insights into how decontextualization might be avoided, arguing that this problem would be significantly reduced if tenses were used appropriately in discussing and theorizing case study findings. Additionally, the study highlights the continued marginalization of qualitative research methods in IB and reinforces calls to address it.

Performance management systems (PMSs) must remain dynamic and maintain the ability to withstand the high degrees of complexity brought about by digital technologies (DTs). Academics and practitioners have explored DTs and PMSs separately. This study aims to bridge the academic and practitioner discourse surrounding PMSs and DTs to promote knowledge diffusion and collaboration.

The authors adopted a mixed method approach, combining quantitative and qualitative content analysis, which were validated through semi-structured interviews with academics and practitioners. The authors first conducted a content analysis of the academic literature contained in the Scopus database and the practitioners' literature featured in the Nexis Uni database.

The combined academic-practitioners’ body of knowledge underscores the risk and environmental dimension, as well as the theoretical frameworks employed to explore digitally empowered PMSs. These findings were corroborated by 17 confirmatory interviews conducted with scholars and practitioners.

Due to its scope, the research is limited to publications listed on Scopus and Nexis Uni. Additionally, its qualitative and interpretative nature presents some generalizability issues.

This study connects the intentions of scholars and practitioners concerning PMSs and DTs to promote collaborative efforts and knowledge diffusion. Moreover, considering the broader spectrum of insights, this manuscript postulates new avenues of research that address the key issues and concerns of both academics and practitioners. Finally, this article showcases PMs- and DT-appropriate theoretical frameworks that can inform practitioners’ discourse and work.

The purpose of this paper is to present an empirical analysis, which consists of interviews with executive trainee programs of three international companies. The results of this analysis offer answers to questions currently being discussed in the corporate social responsibility (CSR) literature, namely, on the effects of CSR communication on top talent attraction.

The study uses structured interviews to analyze the communication perceptions and expectations of (n = 15) top talents when making employer decisions. It compares these with the expectations and intentions of HR managers responsible for programs and communications (n = 15).

The study found that HR managers only partially reflect top talents’ specific communication expectations. In addition to the program-specific CSR content, corporate communications have an overarching optimization potential in the communication mode and information architecture. It is particularly striking that future executives proactively seek CSR content in hiring and access corporate and brand communications for this purpose.

The study was conducted during the COVID-19 pandemic, which made a digital interview setting necessary and did not allow to react in detail on every physical signal. On top, the study has only 30 participants (15 HR/15 talents) from three different talent programs.

The study identifies practical, gender-specific and industry-specific implications for corporate communications regarding content and mode of communication. Companies should specify concrete measures for recruiting future executives, but they can also indicate efforts and first initiatives, thus setting a more decisive stage for an aspiration.

The study is characterized by its unique data set. Only a few companies have explicit programs for the development of future executives. The study also examines HR managers’ communication planning and expectations and future executives’ effective communication perceptions and perspectives.

Hospital governance accountability structures in Iran, similar to other countries, have undergone various reforms with different goals. The current study aimed to identify the rules and regulations of the hospital governance structure in Iran and how they pay attention to accountability.

This qualitative document content analysis study was conducted using hospital governance structure documents in Iran using the Ready materials, Extract data, Analyze data and Distil (READ) document analysis framework. 2,921 documents were extracted from the official government websites of Iran. After screening, seven documents related to the hospital governance structure were selected. A directed content analysis approach was used. The findings were finally future purification matched with the original documents.

The findings showed that documents had not addressed the inclusive governance structure of the hospital comprehensively. The medical staff organization structure is not considered in the documents, and its duties are assigned to a technical or a clinical director. Most documents addressed financial accountability. The documents did not require the hospital’s governance to have an inclusive accountability structure. However, they paid more attention to the administrative and financial autonomy of hospitals.

Accountability is one of the most essential components in the hospital's governance structure. It can increase the success of hospital efficiency, effectiveness, vision and mission fulfillment. The study result can help health services policymakers and managers formulate better organization structure rules and regulations for hospital governance accountability.

This study is the first qualitative analysis of accountable governance structure documents in Iranian hospitals. We used the READ method as a comprehensive approach for document analysis.

This study aims to analyze memes as valuable engagement and marketing communication tools in promoting over-the-top (OTT) platforms by monitoring users' sentiments and offering insightful information about their opinions by drawing themes from viral memes.

Content analysis of 1,230 user interactions was conducted using NVivo software on Instagram and Twitter pages from May 2022 to July 2023. Data were collected for sentiment analysis (consumer responses), and relevant themes (consumer interactions) were drawn which created the virality of memes.

Research findings reveal relevant themes, such as relatable, informative and interest-generating, that make memes go viral over social media. The sentiment analysis results showed that the intensity and strength of the positive comments were more substantial, contributing more to the virality of memes.

These findings provide themes for engaging content for OTT advertisers to boost brand recognition and engagement by strategically creating meme content and implementing better marketing communication.

This study uses factual data to offer new perspectives on viral meme propagation. It provides evidence that OTT marketers boost brand value and customer engagement through innovative customer-centric social media analysis.

This paper aims to investigate how congruent keywords are used in information security policies (ISPs) to pinpoint and guide clear actionable advice and suggest a metric for measuring the quality of keyword use in ISPs.

A qualitative content analysis of 15 ISPs from public agencies in Sweden was conducted with the aid of Orange Data Mining Software. The authors extracted 890 sentences from these ISPs that included one or more of the analyzed keywords. These sentences were analyzed using the new metric – keyword loss of specificity – to assess to what extent the selected keywords were used for pinpointing and guiding actionable advice. Thus, the authors classified the extracted sentences as either actionable advice or other information, depending on the type of information conveyed.

The results show a significant keyword loss of specificity in relation to pieces of actionable advice in ISPs provided by Swedish public agencies. About two-thirds of the sentences in which the analyzed keywords were used focused on information other than actionable advice. Such dual use of keywords reduces the possibility of pinpointing and communicating clear, actionable advice.

The suggested metric provides a means to assess the quality of how keywords are used in ISPs for different purposes. The results show that more research is needed on how keywords are used in ISPs.

The authors recommended that ISP designers exercise caution when using keywords in ISPs and maintain coherency in their use of keywords. ISP designers can use the suggested metrics to assess the quality of actionable advice in their ISPs.

The keyword loss of specificity metric adds to the few quantitative metrics available to assess ISP quality. To the best of the authors’ knowledge, applying this metric is a first attempt to measure the quality of actionable advice in ISPs.