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Research Question: Bibliometric analysis of the literature on emerging markets aims to recognise the relationship between traditional metrics (i.e., citations) and alternative metrics (i.e., altmetrics) in this field. Motivation: This study is motivated by existing difficulties in measuring both the quality and societal effects of research papers. There are divided opinions among critics considering whether traditional metrics represent similar measures in comparison with altmetrics, or whether scientific and public attention are principally different categories. The study focuses on a specific field – emerging markets, considering that both opinions of scientists and the crowd are essential for driving appropriate societal changes. Understanding both metrics’ nature is crucial for their proper usage to support sustainable development efforts and link research project evaluation and financing in the field. Idea: The main idea is to examine the relationship between the number of citations and altmetric indicators and to determine the extent of overlapping individual papers/journals in the sample with the best ranking results in both categories. Data: The study uses data about articles on the topic of “emerging markets” exported from the Web of Science (WoS) database and expanded with altmetric indicators (either from providers Altmetric.com or PlumX, depending on the publisher). There are 3996 valid records collected during November 2019. Tools: This paper considers only altmetric indicators common to both providers. Analyses on the relationship of the number of citations and altmetric indicators (Pearson correlation and percentage of overlapping of top-ranked articles/journals) are performed across the entire sample or only considering selected records. Findings: Obtained results indicate that there is generally no significant relationship between observed metrics in circulation (except in the case of Mendeley). The same conclusion is reached by looking at 100 prominent individual papers in both categories in terms of overlapping, while the top 100 journals indicate a better overlap. The role of altmetrics is not to predict citation. Societal and academic impacts are rather different categories, and it is reasonable to consider the purpose of both metrics for initiating/enhancing development in emerging markets. Contribution: This expanded bibliometric study provides valuable information and orientation for researchers, journals, and academic institutions interested in emerging market growth, evaluation, and financially supporting related research projects.

Research Question: In this paper, the processes that characterize the transition process to Society 5.0 are analysed. Motivation: The wide application of Industry 4.0 technologies has positively affected the economic aspects of conducting business. However, issues arise in the social and ecological aspects. Overcoming these challenges is not an easy task for both enterprises and countries as well. Multiple processes across multiple industries take place that pave the way towards a new business and social paradigm – Society 5.0. The main goal was to determine what processes characterize the transition to Society 5.0 and how managing some of these processes can affect the transition. Additionally, the role of managers in Society 5.0 is discussed. This is important, as the number of studies that address this subject in this manner is small. The motivation is to expand the existing body of literature in this domain. Idea: The main idea was to conduct a systematic review of studies regarding Society 5.0 from various aspects. Based on the findings, the role of managers is investigated. In addition, a theoretical model of the transition process is developed. Data: For this review study, 54 papers from credible sources were qualitatively analysed. The papers refer to Society 5.0 in various domains (sustainability, business, environment, ICTs, education, technology, data, Industry 4.0, Industry 5.0 etc.). Tools: The well-established PRISMA protocol was used for the review process. The findings were noted and labelled for easier development of the theoretical model. Findings: The findings and the developed model indicate the imperative role of managers across all industries for organic and sustainable results that come from the transition processes. Managers must embrace change and thrive towards the concept of Society 5.0 when it comes to conducting business. Contribution: The results of the review contribute to the existing body of literature, as there are few studies that address Society 5.0 in this manner.

Research Question: The aim of this paper is to provide a state-of-science review and offer a critical analysis of contemporary schedule related Earned Value Management (EVM) approaches. Motivation: Since the introduction of the EVM as a tool for project control in the late 1960s, academics have tried to improve its best application. Although this method significantly contributed to efficient cost management, application of EVM to schedule management was falling behind. A significant effort has been made to improve its usability for project time management, which resulted in a dramatic evolution. The paper builds on existing literature and earlier studies, adding value with the inclusion of the cost-based and time-based approaches for assessing project schedule performance. Idea: The idea of this paper was to evaluate some of the most significant EVM schedule control methods and identify open issues. The main study hypothesis is that the most recent approaches provide a more reliable forecast and thus a solid ground for further improvements. Data: A case study in the form of a simplified project was used to illustrate how different contemporary approaches compare in terms of conceptualization, methodological issues, and theoretical underpinnings. Tools: A combination of statistical analysis and Monte Carlo simulation was used to evaluate the performance of different EVM approaches. Microsoft Excel was used for data processing, Microsoft Project and SATA software for data visualization, and Oracle Crystal Ball for Monte Carlo simulation. Findings: Quantitative analysis confirmed that the project-specific Earned Duration Management (EDM) and Earned Schedule (ES) approaches provide sustainable and more accurate results during the whole projects lifespan, while forecasts obtained by more traditional methods proved to be unreliable in the later stages of the project. While practical application generally lags after the growing theory, the latest literature paves the way to the integration of EVM and risk management making the contemporary EVM approaches stochastic and therefore more realistic. Contribution: The results of this study can be used as a basis for introducing advanced and generally more usable EVM models, which will improve the project schedule control.

There is currently a heated debate surrounding the proliferation of non-financial reporting regulations, which is why there is great concern about the less likely scenario of harmonization of the various reporting frameworks. Increasing efforts to define global or at least regional non-financial reporting regulations and their implementation through reliable corporate reporting systems is limited by the barriers and challenges raised by specific country, industry and company characteristics. The question is how companies adapt to this confusing corporate reporting landscape. The purpose of this paper is to perform a reference analysis regarding the completeness of the reports drawn up from the perspective of the degree of coverage of the GRI checklist. Thus, the Global Reporting Initiative, respectively GRI, developed a template in the form of a checklist for sustainability reporting called the GRI Content Index template, considered a reference element in our analysis regarding sustainability and sustainable development and the mapping of the various SDGs (respectively Sustainable Development Goals known in Romania as Sustainable Development Goals), on a sample of companies listed on the Bucharest Stock Exchange. The purpose of the research is to provide an image of the level of transparency of companies listed on the stock exchange, regarding the sustainability of business models. The methodology used is based on the quantitative analysis of the GRI index and the practical implications of the study mainly reveal the best practices in the field of sustainability reporting, viewed from the perspective of neo-institutional theory, which highlights the coercive, normative and mimetic forces related to sustainability disclosures.

Research Question: This paper recommends the method for selecting the optimal ammunition caliber for the automatic rifle that will be used to equip Serbian Army units. Motivation/idea: The selection of adequate caliber does not only represent a challenge for the decision-makers in the military, but also provides information to the industry to adjust to given requests. In the current conditions, the purpose-built industry of the Republic of Serbia is faced with two key tasks that are completely correlated: meeting the needs of the Serbian Army for quality ammunition and being competitive on the market. Accordingly, the purpose of this paper is to develop a qualitative model based on the DEX method and DEXi software applied in the selection of caliber ammunition for automatic rifles for the needs of members of the Serbian Army. This paper connects for the first time the qualitative DEX method with a product of this industry. Data / Tools: In order to meet the requirements of the multi-criteria decision-making, we developed the DEX model to be used to solve the problem of making decisions about the selection of optimal caliber for rearming the Serbian Army, as well as its cost-effectiveness. The alternatives are calibers for automatic rifles 7.62 mm and 5.56 mm that are currently in use in the Serbian Army, as well as the new 6.5 mm caliber which has been announced by the expert authorities. We defined the selection of criteria functions from technical and logistic standpoints. Using the DEX method and DEXi software enables us to obtain independent recommendations by applying different criteria. Findings: Results of this research show that the caliber is a very important component when it comes to army’s armament. At the same time, this question poses a challenge for the sustainable development of the weapons industry. As the optimal caliber, among the offered, after processing the input data in the DEXi software, the authors propose a caliber of 5.56 mm. This caliber dominates in most criteria and as such, it represents the best choice. Contribution: This paper contributes to the creation of sustainable development policies on the national and regional levels and it helps the key decision-makers in the military make decisions. Results of such and similar research, and the fact that the international market has a growing need for ammunition of this caliber should be guidelines for the domestic weapons industry for future development and investment.

Research Question: This paper investigates into how the relationship between the perceived quality of tourists’ experiences and their expectations of the well-reputed urban tourist destinations affect its competitiveness. Motivation: Most of the published research in this field focuses on a general approach to the competitiveness, while the effect of the individual dimensions of tourist destination attractiveness, especially in case of urban tourist destinations, is still insufficiently explored. This study provides insights and recommendations for destination management that would result in a more effective management of urban tourist destinations and, consequently, increase competitiveness of the destination. Idea: The main idea of this study is to empirically evaluate the relationship between the perceived quality of tourists’ experiences and their expectations from urban tourist destinations, and to identify the most important dimensions of tourist destination attractiveness, taking into consideration different motivational factors. Based on the obtained results, it is possible to give recommendations that can contribute to increasing tourists’ satisfaction and competitiveness of the urban tourist destination. Data: The study was conducted on a sample of 312 respondents from Belgrade, a large outbound tourist centre, who met the pre-established set of criteria. Computer-aided web interviewing (CAWI) was used for data collection. Tools: The study was conducted using the Pearson correlation coefficient to determine the relationship between the perceived quality of experiences and expectations, and the SERVQUAL model for measuring quality of dimensions of tourist destination attractiveness by evaluating the differences between perceived quality and expectations, and descriptive statistics. Findings: Traditional understanding of tourists’ satisfaction that leads to tourist destination competitiveness is that the tourists’ expectations must be either met or exceeded. This study showed that tourists’ expectations from certain dimensions of tourist destination attractiveness may be higher than the quality of the experience with them, but tourists would still be satisfied if the perceived quality of their experiences was positive. Moreover, the study has identified three social and one physical dimension of tourist destination attractiveness as the most significant, regardless of tourists’ travel motivation. Contribution: The study contributes to the existing body of literature by introduction of the new data-driven approach to the strategic processes of managing urban tourist destination and its dimensions of tourist destination attractiveness.

This article aims to analyze the effect of Customer Relationship Management on reducing adverse selection within microfinance institutions in Cameroon. This analysis is made possible through the implementation of a questionnaire survey. Carried out on a sample of 522 microfinance clients in the cities of Douala Yaoundé and Bafoussam, the resulting descriptive statistics make it possible to measure the different variables. Data processing carried out using SPSS, which, once the variables have been estimated, facilitates the design of an econometric model using bivariate probit multiple regression. The results of the study indicate that a quality welcome and personalized support have effects on reducing adverse selection. Based on these results, we can recommend that marketing managers in MFIs rely on the future value of the customer at each stage of the customer life cycle in the customer acquisition and retention phases, in order to target the right customers, and therefore reduce adverse selection.

The impacts of misinformation and disinformation have rarely been studied in economics. In this paper, I examine these impacts using a model constructed on the basis of the concept of ranked information. The value of information is changeable and differs across people; therefore, disinformation can be used as a tool to manipulate people’s behaviors. I first define misinformation and disinformation and then show the mechanism through which disinformation decreases efficiency by manipulating ranked information. Decreases in efficiency are observed as decreases in total factor productivity, lowered success rates of investment, and increased costs of bad speculations. In addition, disinformation generates economic rents and, as a result, increases inequality, possibly by a great deal. Furthermore, disinformation can cause large-scale economic fluctuations.

ESG risk refers to the potential risks associated with environmental, social and governance (ESG) factors in the decision-making process. ESG refers to a set of principles that guide a sustainable and responsible approach to investing. This means that ESG factors should be taken into account in investment decisions, where social and environmental impacts should be considered alongside financial aspects.