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The paper aims to develop a microcredit evaluation model (MEM) which could serve as a useful tool for banks and NBFIs when SMEs’ economic and financial risks are evaluated.

Based on the literature review, a set of 17 qualitative and quantitative prudential indicators is selected. Further, a calculation system is developed which relies on the multiple criteria analysis model elaborated by Altman (1968); starting from this, a matrix is developed and a rating system is built. The model is tested among six NBFIs which operate on the Romanian market; three of them are labeled by the Romanian Central Bank as the worst performers, while the other ones are qualified as the best performers. Data are collected from companies’ annual reports and also from the Ministry of Finance.

It proves that the MEM can serve as a useful tool for the national and international NBFIs’ risk assessment. It can anticipate NBFIs’ success or fall. Furthermore, its results can be guaranteed with a probability of 95 per cent, calculated through the VaR method. Last but not least, it can also be used by the international NBFIs which intend to enter in the Romanian market.

The present paper proposes an original model based on both quantitative and qualitative indicators organized in an integrative equation. The MEM helps both parties involved in the financial grant awarding process – NBFIs are able to better assess requests from SMEs, enabling them to increase the volume of granting, whereas SMEs are able to access money for development projects more easily.

This paper aims to examine the impact of cultural specificity on hotel’s online reviews and ratings.

Using Hofstede’s scale of cultural differences, it analyzes 1,821 comments about the Catalonia Sagrada Familia Hotel across 77 countries. Logistic regression is used for data analysis.

It is found that detailed reviews tend to be provided by the guests who belong to a low-power distance culture, are collectivistic, are masculine, have a low uncertainty avoidance, are long-term orientated or are indulgent. On the other hand, the customers who tend to deviate from the prior average ratings come from high-power distance societies, are individualists, are feminists, belong to a high uncertainty avoidance culture, are long-term oriented or are indulgent.

These findings extend the hospitality management literature and potentially help the hotel managers to better understand their customers’ behavior in a web-based environment.

This research sought to identify the best strategy for avoiding corporate amnesia in the context of the Industry 5.0 and an aging society.

To achieve this goal, a multi-phase methodology based on analytic network process was proposed and tested in one of the biggest companies in the bakery industry.

The results highlight that online communities of practice and storytelling are the best way to avoid corporate amnesia. The most important factors are commitment, work satisfaction and organizational culture. Commitment and work satisfaction also enhance the use of online communities of practice, while work satisfaction and organizational culture foster the use of storytelling.

This article proposes a nexus between knowledge management and operations management. This research also presents a decision-making tool that can help managers determine the most appropriate strategy for avoiding corporate amnesia.

This research aims to identify the most suitable intergenerational learning strategies for the private higher education institutions, using the analytic network process.

In order to achieve this goal, two private higher education institutions from Curacao and Spain are analyzed. Data are collected based on a systematic literature review and Delphi studies and processed using the analytic network process.

The results show that teachers also learn at the workplace not only through the formal educational system but also through volunteering activities, mixed-aged teams, and mentoring, which are the most appropriate strategies for fostering intergenerational learning in the private higher education institutions. Besides, their selection is strongly influenced by institution's structural capital (namely, institutional policy, organizational culture, organizational memory) and by employees' psychological profile (such as interpersonal trust, knowledge self-efficiency, motivation).

This research helps the policymakers to prepare for the upcoming aging society by providing them with a viable tool for selecting the most suitable IGL strategy. Furthermore, it supports strategic thinking and scenario development by emphasizing how the situation could change if the importance of the individual and organizational factors varies.

The purpose of this paper is to identify and analyze the main strategies used in organizations to enhance intergenerational learning (IGL) and reduce knowledge loss. The emphasis is on universities that have an age layered or nested structure.

The research is based on an integrated approach of literature search, content analysis, survey based on interviews and questionnaires and the analytic hierarchy process method. The research questions are as follows: What is the level of awareness in organizations about knowledge loss and the role of IGL in reducing its consequences? What kind of organizational structure is adequate for promoting IGL? What are the most suitable strategies for enhancing IGL and reducing knowledge loss?

Universities have a nested generational structure, which makes them adequate for IGL. The most used strategies for enhancing IGL are mentoring, intergenerational research teams and intergenerational creativity workshops.

Empirical investigations covered only four universities. Research should be extended to a larger number of universities and also to companies.

Findings are valuable for organizations having an aging workforce and which want to reduce knowledge loss through the IGL process.

The study provides an insight look of how organizations experiencing a workforce aging phenomenon can enhance IGL to reduce knowledge loss.