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The price clustering behavior is becoming a core part of the market efficiency theory especially with the development of trading strategies and the occurrence of major and unprecedented shocks which have led to severe inquiry regarding asset price dynamics and their distribution. However, research on emerging stock market is scant. The study contributes to the literature on price clustering by investigating an active emerging stock market, the Muscat stock market one of the Arabian Gulf Markets.

This research adopts the artificial intelligence technique and other statistical estimation procedure in understanding the price clustering patterns in Muscat stock market and their main determinants.

The findings reveal that stock prices are marked by clustering behavior as commonly highlighted in the previous studies. However, we found strong evidence of price preferences to cluster on numbers closer to zero than to one. We also show that the nature of firm’s activity matters for price clustering behavior. In addition, firms with traded bonds in Oman market experienced a substantial less stock price clustering than other firms. Clustered stock prices are more likely to have higher prices and higher volatility of price. Finally, clustering raised when the market became highly uncertain during the Covid-19 crisis especially for the financial firms.

This study provides novel results on price clustering literature especially for an active emerging market and during the Covid-19 pandemic crisis.

Striving for growth since their early stages, many small and medium enterprises (SMEs) are increasingly adopting an entrepreneurial behavior based on a rapid and early international expansion. Although some extant research have been done on the dynamic capabilities of SMEs’ accelerated internationalization–born global (BG) SMEs, no study was, to the best of the authors’ knowledge, carried on the microfoundations underlying this phenomenon. This paper aims to fill this gap in the literature and contribute to the growing theory development of SME’s microfoundations.

This paper proposes an integrated conceptual framework to better identify the microfoundations that influence born global SMEs internationalization by integrating individual, structural and processual – the microfoundations approach within the dynamic capabilities of sensing, seizing and reconfiguring.

Our propositions argue that born global SMEs are characterized by dynamic capabilities based on a combination of some individual (manager’s human and social capital, such as its personal orientation, experiences, cognition and intuition), process (market learning, technology development) and structural (agility, communication/coordination) factors that helps a lot in the acceleration of the internationalization process.

Empirical study should be done to enrich the conceptual material.

To identify some international opportunities, companies should rely on the entrepreneurial orientation of its managers, its experience and network as well as the market-related learning and technological processes. The managerial cognition is important to seize opportunities while the manager’s human capital is needed to reconfigure resources while internationalizing rapidly.

This research shows that individual attributes are important but insufficient to accelerate the internationalization process. Some individual characteristics are more useful in sensing international opportunities rapidly, such as manager’s international entrepreneurial, past experience and network, However, the managerial cognition is important to seize opportunities, whereas the manager’s human capital is needed to reconfigure resources while internationalizing rapidly.

Born global firms must develop several dynamic capabilities to foster their accelerated early international development. This paper gives insights about the individual, structural and processual of sensing international opportunities, seizing and reconfiguring resources and competencies for born globals.