Improving the Methodology for Assessing the Effectiveness of Economic Entities in Modern Conditions

Modern conditions impose special requirements to the assessment of economic entities. Efficiency is an important parameter of the activity of any business. The present research involved a critical analysis of standard methods for assessing the effectiveness of both domestic and foreign practices. The analysis revealed a need to apply new approaches to business efficiency assessment because the standard approach is not systematic and its indicators repeat themselves. The article offers a new conceptual methodological approach to understanding the term efficiency. The new methodological concept is hybrid in nature and includes classical economic, financial, and institutional methods. It also adopts some methods and approaches from management and natural sciences. The authors built a comprehensive model for assessing the effectiveness of an economic entity in modern conditions. It is based on the idea that the optimal methods are those that do not use relative indicators. This model includes three levels of indicators: standard, qualitative, and synergistic. The new approach is systemic and corresponds to modern economic environment, which resolves the issue of relative performance indicators.

Social network fatigue: revisiting the antecedents and consequences

PurposeThe study explores the antecedents and consequences of social network fatigue (SNF) using the stress–strain–outcome (S-S-O) model. It builds on the work of previous scholars in the area of SNS by focussing on the intervening processes that explain the study's focal constructs.Design/methodology/approachTo test the proposed framework, the study draws cross-sectional data from Indian Facebook users. Data were collected using an online survey, and the final sample of 309 valid and complete responses was analysed using SmartPLS to test the study's hypotheses.FindingsThe findings of the study report fear of missing out (FoMO) to be positively related to compulsive use (CU) of Facebook. CU had positive and significant direct and indirect effects (via information and social overload) on SNF. SNF was significantly associated with both depression (DEP) and discontinuous use intention (DUI). However, Facebook use intensity (FBI)'s moderating role on the relationship between FoMO and CU was insignificant.Originality/valueFirst, the current study proposes and empirically tests a comprehensive model on the lines of the S-S-O model to understand the antecedents and consequences of SNF. Second, the study uses an Indian sample that is not age-specific (adolescents or young adults), unlike most past studies. Third, it examines various intervening stages and processes (through mediation and moderation) suggested by previous scholars but not yet explored.

Using Digital Badges to Design a Comprehensive Model for High-Impact Experiential Learning

This chapter details the design, implementation, and promise of the Project Portal, a co-curricular badge system, as an exciting example of how digital badges can transcend traditional notions of credentialing. The authors begin by detailing their design approach, which frames goals within hypotheses and research questions, allowing for optimizing implementation based on student outcomes and ongoing data collection. The authors then share a comprehensive model through five primary functional lenses: (1) generating diverse applied learning opportunities, (2) incentivizing, (3) facilitating and (4) assessing student engagement, and (5) leveraging related impacts. Although still in its infancy, the model suggests that these functionalities are individually important and collectively sufficient to activate the promise of high-impact experiential learning as a driver for student and community impact along with key institutional priorities.

Conceptualizing the Use of Artificial Intelligence in Customer Relationship Management and Quality of Services

In this chapter, the authors have conceptualized a hypothetical comprehensive model of AI, CRM, and quality of services by banks given the underlying pull and push factors that determine the extent of AI adoption by the banks. This chapter shall also serve as a primer to demonstrate the effects of use of artificial intelligence in the Indian banks and is also aimed to encapsulate the restraining and facilitating forces that drive adoption of AI. This chapter examines the blooming development of artificial intelligence and its significance in the operational efficiency in terms of management of issues related to customers while accessing different products and services offered by banks. In other words, the use of artificial intelligence technologies can dramatically improve banks' ability to achieve four key outcomes: higher profits, at-scale personalization, rapid innovation cycles, strategic customer relationship management (CRM), and distinctive omni-channel experiences. The role of artificial intelligence (AI) is significant in the banking industry for operational efficiency.

A Review of Feedback Models and Theories: Descriptions, Definitions, and Conclusions

The positive effect of feedback on students’ performance and learning is no longer disputed. For this reason, scholars have been working on developing models and theories that explain how feedback works and which variables may contribute to student engagement with it. Our aim with this review was to describe the most prominent models and theories, identified using a systematic, three-step approach. We selected 14 publications and described definitions, models, their background, and specific underlying mechanisms of feedback processes. We concluded the review with eight main points reached from our analysis of the models. The goal of this paper is to inform the field and to help both scholars and educators to select appropriate models to frame their research and intervention development. In our complementary review (Panadero and Lipnevich, 2021) we further analyzed and compared the fourteen models with the goal to classify and integrate shared elements into a new comprehensive model.