The major goal of decisions made by a business organization is to enhance business performance. These days, owners, managers and other stakeholders are seeking for opportunities of modelling and automating decisions by analysing the most recent data with the help of artificial intelligence (AI). This study outlines a simple theoretical model framework using internal and external information on current and potential clients and performing calculations followed by immediate updating of contracting probabilities after each sales attempt. This can help increase sales efficiency, revenues, and profits in an easily programmable way and serve as a basis for focusing on the most promising deals customising personal offers of best-selling products for each potential client. The search for new customers is supported by the continuous and systematic collection and analysis of external and internal statistical data, organising them into a unified database, and using a decision support model based on it. As an illustration, the paper presents a fictitious model setup and simulations for an insurance company considering different regions, age groups and genders of clients when analysing probabilities of contracting, average sales and profits per contract. The elements of the model, however, can be generalised or adjusted to any sector. Results show that dynamic targeting strategies based on model calculations and most current information outperform static or non-targeted actions. The process from data to decision-making to improve business performance and the decision itself can be easily algorithmised. The feedback of the results into the model carries the potential for automated self-learning and self-correction. The proposed framework can serve as a basis for a self-sustaining artificial business intelligence system.

Colonialism has had a profoundly negative impact on national consciousness. Although the Republic of Kazakhstan has gained independence, it has not yet fully overcome the adverse effects of colonialism on its national consciousness. A portion of the Kazakh people has been Russified. Meanwhile, the younger generation, raised in their native language, either lacks a deep understanding of or is gradually forgetting the foundations of national identity that date back to ancient times. During the Soviet era, communist ideology prevented the population from truly knowing their history, traditions, and beliefs. In this context, literature plays a crucial role in reviving national memory. This article examines the concept of personality in literary works and the uniqueness of national identity based on the works of several contemporary authors. The introduction provides an overview of researchers’ conclusions related to the concept of personality. The ancient origins of national identity—sacred elements, rituals, shamanism, and the mystical connections between humans, nature, and animals—as depicted in literary works are analyzed within the dynamics of the present day, alongside the fates of the characters. The desecration of sacred elements is not merely ignorance but a sign of the erasure of national memory; rituals are not just words but embody sacred concepts accumulated from centuries of the people’s experience, which are reflected in the works. Accordingly, the research article analyzes and provides examples from several literary works. In compiling conclusions about the concept of personality, the study utilized descriptive, biographical, and socio-psychological methods to describe national identity in literary works and its ancient manifestations, as well as the depiction of sacred elements and rituals.

Rapidly changing business environments and fierce competition are making it increasingly difficult for modern companies to maintain competitive advantage and accomplish business longevity. This study can fill the research gap in mission research and longevity research, and provides implications on what form and content of mission should be selected when determining the direction of a company’s corporate strategy. Although a company’s mission is a communication tool that represents the company’s strategic priorities and unique values, it has rarely been considered an important factor in business longevity. This study conducts a content analysis of the mission statements of 43 companies in the Henokiens Association to clarify the linkage between a company’s mission and business longevity and the configurations of long-lived firms’ missions. Our results show most long-lived firms have clear missions and perceptions of familism expansion. The firms’ past, present, and future additions to their concern for products, business growth, unique philosophy, and stakeholders are highlighted in their mission statements. Therefore, the main theoretical contribution of focusing on the corporate mission as a factor of business longevity in this study is not only a new approach to the longevity factor, but also the discovery of new values of the mission in strategic management research. The practical contribution of this study is that it reveals that companies seeking long-term competitive advantage in the market need to design, possess, and share a high-quality mission from a long-term perspective and instill the ideology of extended familyism. It can also provide hints about strategic priorities for small, family-run businesses facing threats to their survival.

The Circular Economy (CE) concept has been recognized as the core strategy that can support sustainable business through technological innovation that enables CE transition by focusing on resource savings. This case study conducts research on business strategy in achieving CE transition in an agroindustry company, by performing SWOT analysis to assess internal and external factors. The SWOT model provides valuable results that an effective strategy could maximize strengths and opportunities, minimize weaknesses and threats in business by boosting circularity on business-critical factors. The CE adoption by agroindustry company mostly focuses on efficient organic waste management, energy-efficient production, and production process. This study case reveals that while technology plays a significant role in advancing CE, there is still a significant need to pay attention to the social aspect in supporting the creation of worker-owned cooperatives by creating space for employee involvement in finding innovations and adopting technology in business transition into CE process. Social innovation through the involvement of employees by sharing CE vision, synergizing and optimizing internal potential, and building up the green innovation culture has created an internal conducive climate to put CE principle into practice. Further result shows that a labor-intensive company’s business strategy prioritizes employment and job security over maximizing profits, which directly leads to the economic welfare and social protection of the business operation that makes an inclusive business.

This study informs the academic and policy debate on the policy effectiveness of exchange rate interventions on exchange rate levels and volatility. Using a constructed data set comprising daily data on exchange rates, monetary policy fundamentals, exchange rate intervention dates and magnitudes of those interventions as well as financial news speculation of such interventions, we empirically estimate the policy effectiveness of Bank of Japan interventions in the exchange rate over the 12-year period between 2010 and 2022. This allows us to investigate the policy effectiveness of a variety of exchange rate interventions, or news of exchange rate interventions, across different time-horizons. We find that policy interventions in the yen exchange rate are more effective over short-horizons than long-horizons, more effective when the policy objective is a competitive devaluation of the yen rather than a revaluation, and more effective at influencing the level of the yen against major world currencies other than the US dollar. In fact, for the yen-dollar rate, we find that policy interventions may have the unintended consequences of weakening the yen (when the policy intention is to strengthen it) and increasing volatility in the yen-dollar exchange rate.

In the current competitive global marketplace, innovation is key for high-tech firms to thrive. Open innovation offers a promising approach, but its effectiveness remains unclear. Therefore, this research explored the connection between open innovation, knowledge management capability, and innovation performance within high-tech firms. We used a mediation approach to highlight the central role of knowledge management capability in the relationship between open innovation and innovation performance. We used a survey questionnaire approach to collect data from the 462 employees of high-tech firms on open innovation, knowledge management capability, and innovation performance using a convenient sampling technique. We used partial least square structural equations modeling through PLS-SEM statistics. Results indicated that open innovation has a direct, positive and significant connection with innovation performance. Similarly, the current research serves as a pioneering exploration into mediation analysis, highlighting the mediating role of knowledge management capability that influences the relationship between open innovation and innovation performance. Empirical studies offer valuable insights for leaders of high-tech firms, guiding them to identify effective knowledge management practices and determine the ideal extent of open innovation to boost innovation performance. The current study reveals novel insights into the benefits of knowledge management capability in enhancing open innovation efforts within firms. This research provides valuable implications and future research directions.