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Twitter is the most popular instant messaging platform today. Thanks to the consistency factor typical of it, it offers every company or business the best opportunity to promote their products or services. Likewise, it offers an unprecedented opportunity to public utility or benefit organizations like libraries to promote their services and build a powerful digital information exchange community. However, because of its immense number of users and chaotic nature, the steps toward making the best of it must be precise and systematized, or else the information professional will end up squandering resources to no avail. The purpose of this paper is the optimization of the distribution of the libraries’ resources regarding the promotion methods on Twitter.

Such a model is initially built by recording and analyzing the potential offered by the social network platform in question. Third-party tools that help handle Twitter are also analyzed. The factors’ total is then modeled by using the iThink editor. This editor is able to receive data from the decision-maker with respect to the specific attributes of each product and given conditions and produce specific outcomes by use of the model.

This research paper, includes a decision-making tool (model) that combines a theoretical view of library information science (LIS) and marketing science with a practical tool, simulating the process and producing certain outcomes using specific resources. The model presents him with the outcome that is bound to be produced with regard to the given circumstances and the amount of resources invested, encouraging, or not, certain courses of action.

The decision-maker can accurately anticipate an outcome so as to respectively customize his data and moves.

Proper use of the tools available, alongside anticipation chances offered by dynamic simulation models, enables the model decision-maker use it according to any given context, hence maximizing library business profits.

The paper’s main goal is to examine the relationship between the video marketing of financial technologies (Fintechs) and their vulnerable website customers’ brand engagement in the ongoing coronavirus disease 2019 (COVID-19) crisis.

To extract the required outcomes, the authors gathered data from the five biggest Fintech websites and YouTube channels, performed multiple linear regression models and developed a hybrid (agent-based and dynamic) model to assess the performance connection between their video marketing analytics and vulnerable website customers’ brand engagement.

It has been found that video marketing analytics of Fintechs’ YouTube channels are a decisive factor in impacting their vulnerable website customers’ brand engagement and awareness.

By enhancing video marketing analytics of their YouTube channels, Fintechs can achieve greater levels of vulnerable website customers’ engagement and awareness. Higher levels of vulnerable customers’ brand engagement and awareness tend to decrease their vulnerability by enhancing their financial knowledge and confidence.

Fintechs should aim to increase the number of total videos on their YouTube channels and provide videos that promote their customers’ knowledge of their services to increase their brand engagement and awareness, thus reducing their vulnerability. Moreover, Fintechs should be aware not to over-post videos because they will be in an unfavorable position against their competitors.

This research offers valuable insights regarding the importance of video marketing strategies for Fintechs in promoting their vulnerable website customers’ brand awareness during crisis periods.

The purpose of this paper is to examine the impact of affiliate marketing strategies as a tool for increasing customers' engagement and vulnerability over financial services. This is attempted by examining the connection between affiliate marketing factors and customers' brand engagement and vulnerability metrics.

The authors developed a three-staged methodological context, based on the 7 most known centralized payment network (CPN) firms' website analytical data, which begins with linear regression analysis, followed by hybrid modeling (agent-based and dynamic models), so as to simulate brand engagement and vulnerability factors' variation in a 180-day period. The deployed context ends by applying the cognitive modeling method of producing heatmaps and facial analysis of CPN websites to the selected 47 vulnerable website customers, for gathering more insights into their brand engagement.

Throughout the simulation results of the study, it becomes clear that a higher number of backlinks and referral domains tend to increase CPN firms' brand-engaged and vulnerable customers.

From the simulation modeling process, the implication for backlinks and referral domains as factors that enhance website customers' brand engagement and vulnerability has been highlighted. A higher number of brand-engaged website customers could mean that vulnerable categories of customers would be impacted by CPNs' affiliate marketing. Improving those customers' knowledge of the financial services utility is of utmost importance.

The outcomes of the research indicate that online banking service providers can increase their customers' engagement with their brands by adopting affiliate marketing techniques. To avoid the increase in customers' vulnerability, marketers should aim to apply affiliate marketing strategies to domains relevant to the provided financial services.

The paper's outcomes provide a new approach to the literature, where the website customer's brand engagement comes out as a valuable metric for estimating online banking sector customers' vulnerability.

The purpose of this research work is to find a methodology for the strategic development of competitive advantage for information technology (IT) companies (Mezger and Violani, 2011). The ultimate aim of this project is to develop a methodological approach on this issue, based on dynamic simulation models (DSM) (Wirahadikusumah and Abraham, 2003). With the aid of DSM, senior managements of organizations will have the opportunity to make decisions of assured success. This success shall be guaranteed by the realization of entrepreneurial activity in a safe and inexpensive computing environment before actual investment.

This paper highlights the advantages of the dynamic modelling of systems aiming at developing competitive advantage for IT companies (Ordóñez de Pablos, 2006). In this research, we have used the science of design and the research methodology for testing the concept of modelling as well as the process of modelling. The models have been completed through a series of alternations and iterations in the design, development, simulation, testing and evaluation.

This paper examines the interface among several dimensions for the development of dynamic models. The validity and usefulness of those models in the process of decision-making has been confirmed by the usage of dynamic models in various sectors.

This paper applies the system and the concepts of dynamic modelling, which are pioneering elements as to their nature and evolution. Although the sector, where the modelling was applied, is an IT company, the concepts and principles investigated, developed and validated can be applied to most enterprises.

The need for modern enterprises to seamlessly interoperate poses significant challenges on their capabilities for engaging in multiple business networks. This paper considers a particular type of business network, namely, “service ecosystems”, and proposes architecture for enabling business firms to: control dissemination and usage of the resources they contribute to the ecosystem; and develop corresponding service offerings.

A literature review informed our research work and contextualized the development of relevant research questions. The research questions were based on unstructured, creative techniques (e.g. brainstorming), combined with rigorous requirements specification for software tools developed as part of this research. Overall development was based on service science and enterprise interoperability research, distilled in four principles that provided the context and direction for this work.

Three key components of the proposed architecture were developed: service map, which identifies the building blocks needed to construct a service ecosystem; interoperability model, as a decision-making mechanism for dynamic (re-) arrangement of a service map’s building blocks; and shared service infrastructure for the provision of support services to all ecosystem participants.

This research has advanced current thinking in developing and managing service ecosystems. By adopting a service science viewpoint (service value co-creation, value-in-use), a holistic approach for building collaboration capabilities is described: at the enterprise level, it pertains to decision-making mechanisms for service provision; at the ecosystem level, it pertains to a software platform for managing common collaboration tasks.

The purpose of this paper is to understand the emotional state of a human being by capturing the speech utterances that are used during common conversation. Human beings except of thinking creatures are also sentimental and emotional organisms. There are six universal basic emotions plus a neutral emotion: happiness, surprise, fear, sadness, anger, disgust and neutral.

It is proved that, given enough acoustic evidence, the emotional state of a person can be classified by an ensemble majority voting classifier. The proposed ensemble classifier is constructed over three base classifiers: k nearest neighbors, C4.5 and support vector machine (SVM) polynomial kernel.

The proposed ensemble classifier achieves better performance than each base classifier. It is compared with two other ensemble classifiers: one-against-all (OAA) multiclass SVM with radial basis function kernels and OAA multiclass SVM with hybrid kernels. The proposed ensemble classifier achieves better performance than the other two ensemble classifiers.

The current paper performs emotion classification with an ensemble majority voting classifier that combines three certain types of base classifiers which are of low computational complexity. The base classifiers stem from different theoretical background to avoid bias and redundancy. It gives to the proposed ensemble classifier the ability to be generalized in the emotion domain space.

The purpose of this paper is to examine the factor “Staff's beliefs, attitudes and social representations” vis‐à‐vis the part it plays during the negotiation process in the effort of the two leaders of the Greek banking branch to merge.

The codification is attempted by means of software, so as to clarify the trends for negotiations in win‐win conditions. Data were collected by the negotiation process of two large banking companies.

The paper concludes that the private or public character of each banking organization involved in the negotiation process of aiming at a merger will affect its strategic choices in relation to the role played by human beliefs and professional attitudes during the negotiations. Additionally, the research has pointed out some elements that are explained and justified by the existing circumstances in the particular banking area. The fear of change, the stress, the insecurity and the loss of morale are also pointed out as being significant factors.

The paper is based on research of two different sectors – private and public – and how the employees of two organizations belonging to these sectors react and affect the result of the merger.

The purpose of this paper is to examine the role of the variable stakeholder briefing in the successful completion of merger negotiations in the Greek banking branch.

The codification is attempted by means of software, so as to clarify the trends for negotiations in win‐win conditions. Data collected by the negotiation process of two large banking companies.

The paper concludes that an important factor for the successful outcome of a merger is also the methodology of briefing enacted by the leaders of the banking branch during both the negotiation and merger process.

The two banks follow a different briefing strategy in the issue of stakeholder briefing as well but there is congruency in briefing strategies concerning substantial goals, because both banks develop in a market that modulates tactics of consuming and investing behaviors through forming an “opinion” by the image that the banks give to consumers and investors about their plans.

This paper aims to examine the Self-Other Agreement between leaders and employees in the sector of Libraries and Information Services (LIS) to construct a sustainable and strategic communicational process among library directors and staff.

A sample of 135 leaders-employees of 17 organisations of LIS in more than five countries answered on a quantitative methodological research instrument in a multiplicity of variables. Statistical analysis of independent samples t-test was used to testify our research hypotheses.

Results indicated that there is a difference in means between the two independent samples (leaders-employees). There are library leaders who rate themselves quite high, and there are employees who rate their leaders with lower evaluations.

This research extends and improves the matter of Self-Other Agreement in the sector of LIS through the collection of data that indicated a possible gap of communication and trustworthiness between leaders and employees.

Regardless of the difference or the consensus of ratings among leaders and employees, the results of this research could be served as a stimulus plus as a starting point for library leaders by correcting or developing relations of communication and trustworthiness between them and their followers.

Self-Other Agreement is one of the major factors that positively or negatively affect the overall operation of the organization in the way a leader could perceive the additional feedback. In the sector of LIS, the study of Self-Other Agreement is a rich and unexplored research area which deserves further analysis.