Search results

The purpose of this paper is to develop an analytical model for appraising and measuring corporate social responsibility (CSR). The theoretical and conceptual grounds that sustain the model are based on previous approaches.

The utility function, which is the basis of a company's economic dimension, is analyzed in its philosophical and ethical setting, concentrating largely on the Utilitarian and Hedonistic schools and a maximizing agent, the “homo oeconomicus”.

The resulting new approach permits an analytical explanation of the behavior of a company and its owners when incorporating both economic rationality (“homo oeconomicus”) and social responsibility.

The quantitative determination of a global indicator for social responsibility is shown, as is the development of a method for calculating a monetary value of CSR.

To contribute to achieving the Sustainable Development Goals, this study aims to explore how to encourage innovative green behaviors among college students and the mechanisms behind the formation of green innovation behavior. Specifically, this study examines the influences of schools, mentors and college students themselves.

A multilevel, multisource study involving 261 students from 51 groups generally supported this study’s predictions.

Proenvironmental and responsible mentors significantly predicted innovative green behavior among college students. In addition, creative motivation mediated the logical chain among green intellectual capital, emotional intelligence and green innovation behavior.

The study findings offer new insights into the conditions required for college students to engage in green innovation. In addition, they provide practical implications for cultivating green innovation among college students.

The authors proposed and tested a multilevel theory based on the ability–motivation–opportunity framework. In this model, proenvironmental and responsible mentors, green intellectual capital and emotional intelligence triggered innovative green behavior among college students through creative motivation.

The provision of value, as a marketing issue, is receiving increasing attention from managers and scholars. This attention, in combination with strong calls for better quantification and stronger measures in marketing, has lead to increased interest in the assessment, quantified where possible, of the provision of value through buyer–seller relationships. This paper identifies dimensions of value provision through relationships in business markets with specific emphasis on the intangible aspects of value, which are important to long-term competitive advantage. The provision of value to the seller is the prime focus in this paper. The paper discusses the meaning of both tangible and intangible relationship value and the interplay between them and notes the importance of assessing the intangible part of the value, particularly the part which derives from the human aspects of the relationship. Despite their importance, the human aspects of relationships and their contribution to value is a sparse topic among researchers. The paper compares and evaluates potentially useful relationship and value conceptualizations. The paper discusses studies of relationship value and then outlines the results of a recent line of empirical research into the provision of value by a buyer to a seller that utilizes a framework synthesized from the intellectual capital literature. This recent research conceptualizes the potential for a seller's relationship with a buyer to provide intangible value to the seller in terms of, first, the resources available in the buyer and second, the capabilities of the buyer's boundary personnel to aid in facilitating the flow of those resources to the seller. The paper also includes the softer human aspects in the dimensions of value. These latter aspects are important to a full assessment of value. The paper concludes with a discussion of aspects of intangible relationship value that need further elucidation and will thus provide opportunities for future research.

The purpose of this paper is to examine the knowledge dynamics process based on the energy metaphor and the thermodynamics framework. Knowledge dynamics is analyzed as a transformational process that goes beyond the Newtonian logic used to date.

The research design is based on metaphorical thinking, critical analysis of the mostly used knowledge metaphors to date, and the logic of thermodynamics, which is the science of energy transformation.

Knowledge is conceived as a field, composed of three fundamental forms: rational knowledge, emotional knowledge and spiritual knowledge. Each form of knowledge can be transformed into another form, thus generating an iterative and interactive dynamics. The unity of knowledge is supported by the brain’s organic structure.

Understanding knowledge dynamics as a transformational process helps managers in their problem-solving and implementation of strategies in their organizations. Knowledge dynamics is fundamental to the learning and unlearning processes, and for stimulating innovation. Knowledge dynamics, as a transformational process, is influencing both organizational behavior as well as consumers’ behavior.

The present research uses for the first time a thermodynamics approach in understanding and explaining the knowledge dynamics, which is a transformational process of three fundamental forms of knowledge: rational, emotional and spiritual.

Considering the emergence of e-commerce platforms and their integration into marketing channels, this paper aims to investigate how artificial intelligence (AI) resources – both technological and human – possessed by e-commerce platforms can enhance their channel power by acquiring market-based assets (relational and intellectual).

Based on resource-based theory and resource orchestration theory, the authors developed a framework tested using survey data gathered from the sellers, which incorporated six key variables: the e-commerce platform’s AI technology resources and human resources, rational and intellectual market-based assets, intraplatform competition and channel power. The analyses are performed using the regression analysis technique.

The empirical findings indicate that both technological and human AI resources are crucial in building channel power. In addition, market-based assets serve as a mediator in this relationship, while intraplatform competition moderates the effect of intellectual market-based assets on channel power negatively.

This study contributes to the existing literature by exploring how e-commerce platforms’ AI resources affect their channel power. The results offer valuable guidance to managers and researchers on optimizing AI resources to improve channel power.