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The present study seeks to investigate female entrepreneurship in turbulent times (COVID-19) and contexts (emerging markets).

An in-depth, multiple-firm (five SMEs), cross-country (2 countries – Brazil and Tunisia), cross-region (Latin America and the MENA region) case study based on a mixed embeddedness perspective.

The study highlights how challenges and uncertainties are managed, what inspires female entrepreneurs and what frightens them. We capture these entrepreneurs' insecurities, self-doubts and creative survival strategies. Our findings reinforce the need for self-efficacy and resilience, as well as the importance of a support network and the ability to “reboot” whenever needed. Despite persistent patriarchal norms and cultures, the women surveyed did not see themselves as female entrepreneurs but as successful entrepreneurs, akin to their male counterparts.

Academically, the study contributes to the fields of entrepreneurship, female entrepreneurship and crisis management with empirical evidence in new contexts (LATAM and MENA regions) and times (collected during a crisis). The results also contribute in a practical way to female entrepreneurs, policy makers and global agencies.

The study's originality arises from a qualitative cross-country comparison of findings from internationally minded companies from under-researched developing countries and regions at an especially interesting and turbulent time: the pandemic of 2020.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Female entrepreneurs do not face the same challenges as male entrepreneurs, especially in emerging markets. For most, there are additional uncertainties and institutional biases that must be overcome.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The purpose of this interdisciplinary cross-country study is to investigate the influence of cultural tightness-looseness on money laundering.

The authors rely on tightness-looseness theory as the basis for their predictions. The authors use the Basel Anti Money Laundering Index to operationalize financial crimes. They use dynamic panel data regressions spanning from 2012 to 2018 across 66 countries.

The authors find a positive and significant effect of national culture on money laundering financial crime. This suggests that financial crimes increase in countries with higher levels of cultural looseness orientation. Moreover, the authors show that the absence of violence, control of corruption, political stability and voice and accountability has a significant and negative influence on money laundering financial crime.

Formal institutional factors are not the only factors that can help curb financial crimes, but policy regulators should also consider the degree of cultural tightness-looseness.

To the best of authors’ knowledge, this is the first research ever to examine the effects of cultural tightness-looseness on the level of financial crimes.

Drawing on organizational learning and dynamic capabilities literature, this study aims to explore how suppliers from traditional emerging economies (STEE) can acquire, assimilate and use new knowledge essential for the development of production and marketing capabilities. These capabilities then facilitate suppliers in climbing the value chain from B-to-B to B-to-C.

The study adopted a longitudinal and multiple case study design to examine the practices of suppliers operating in a traditional emerging economy setting. This study selected Pakistan textile industry as an empirical setting, which is a predominantly supplier market for global buyers. Data sources entail semi-structured interviews with top executives and senior-level managers in four case firms and secondary data obtained from diverse sources.

The study identified transitionary phases of capabilities development that are facilitated by boundary-spanning knowledge acquisition and transformation in a dynamic manner. These capabilities are essential for a supplier’s entry into downstream international markets (i.e. launching its own products/brands in the end consumers’ market).

The findings could help managers in STEEs to understand the strategic importance of supply chain ties in their learning and capabilities development. It also provides strategic insights on what, how and why involved parties do engage over an extended period of time. Moreover, the findings of this study could help other firms to know and adopt the right type of technology(s) and systems that can help them reduce the technological gap in producing and marketing market-winning products.

This study advances the recent academic discussion that focusses on learning by supplying and the value-chain movement of suppliers (i.e. B-to-C) from their B-to-B engagements. The findings identified the vital and beneficial role of long-term relationships with global value chain partners in learning and capabilities development that led to value creation in the traditional emerging economy.

The purpose of this paper is to propose a framework for effective crisis response.

The methodology involves a qualitative examination of responses by companies that have been judged by analysts to be varyingly effective. Toyota, for instance, had a poor response to its product quality and recall crisis. Singapore Airlines on the other hand, is often cited as an exemplar for an effective response to the crash of its flight SQ 006 in Taiwan.

This research finds that organizations with a strong commitment to doing the right thing for stakeholders and a high readiness are most likely to effectively respond to crises. Organizations lacking in one of the two critical dimensions (commitment to stakeholders and/or readiness), on the other hand, are likely to have ineffective responses with possible post-crisis losses in competitive (e.g. market share) and financial (e.g. penalties) terms.

The case study methodology implies limitations about generalizability. The framework may also be less useful in crises where there is ambiguity about the genesis of the crisis and its implications, such as the disappearance of the Malaysian Airlines’ MH 370 flight.

Since crises are commonplace and can impact any company, the framework can be useful for a wide range of companies.

The proposed framework fills a gap in the understanding about why some companies have effective responses to crises and others do not. Prior literature has often adopted narrower perspectives such as the skills and the personality of the CEO, pre-crisis drills and effective communication strategies post-crisis. This study argues that while these factors are important, they are not sufficiently strategic.

This paper revolves around the usage of data analytics in the Qur’an and Hadith through a new text mining technique to answer the main research question of whether the activities and the data flows of the Murabaha financing contract is compatible with Sharia law. The purpose of this paper is to provide a thorough and comprehensive database that will be used to examine existing practices in Islamic banks’ and improve compliancy with Islamic financial law (Sharia).

To design a Sharia-compliant Murabaha business process originated on text mining, the authors start by identifying the factors deemed necessary in their text mining techniques of both texts; using a four-step strategy to analyze those text mining analytics; then, they list the three basic approaches in text mining used for new knowledge discovery in databases: the co-occurrence approach based on the recursive co-occurrence algorithm; the machine learning or statistical-based; and the knowledge-based. They identify any variation and association between the Murabaha business processes produced using text mining against the one developed through data collection.

The main finding attained in this paper is to confirm the compatibility of all activities and the data flows in the Murabaha financing contract produced using data analytics of the Quran and Hadith texts against the Murabaha business process that was developed based on data collection. Another key finding is revealing some shortcomings regarding Islamic banks business process compliance with Sharia law.

Given Murabaha as the most popular mode of Islamic financing with more than 75% in total transactions, this research has managed to touch-base on an area that is interesting to the vast majority of those dealing with Islamic finance instruments. By reaching findings that could improve the existing Islamic Murabaha business process and concluding on Sharia compliance of the existing Murabaha business process, this research is quite relevant and could be used in practice as well as in influencing public policy. In fact, Islamic Sharia law experts, Islamic finance professionals and Islamic banks may find the results of this study very useful in improving at least one aspect of the Islamic finance transactions.

By using a novel, fresh text mining methods built on recursive occurrence of synonym words from the Qur’an and Hadith to enrich Islamic finance, this research study can claim to have been the first of its kind in using machine learning to mine the Quran, Hadith and in extracting valuable knowledge to support and consolidate the Islamic financial business processes and make them more compliant with the i.