In 2020, the US senate held a series of antitrust hearings – involving some of the world’s leading tech companies – which highlighted the potentially double-edged nature of emerging digital technologies such as artificial intelligence or the Internet of Things. Beyond these technologies alone, digitalization (Legner et al. 2017) leveraging these technologies drives an ever stronger and more fundamental transformation of social and economic processes (Wessel et al. 2021). While these transformations are often linked to opportunities for social and economic growth, we are beginning to realize that these technologies also cause potentially undesirable side-effects. The hearings covered a range of contentious topics – such as the role of free speech of social media or bias in algorithmic decision making – emphasizing that the ability to identify, analyze, and potentially mitigate ethical tensions related to digital technologies and data is a key skill in the transformation toward a digital economy and society. Consequently, the need for scrutiny and safeguards becomes paramount if progress in not only to be driven by what is technologically possible, but by what is societally desirable and sustainable. One way for organizations to minimize the ethical risks associated with new digital technologies is to put in place policies that encourage a responsible approach to their development, use, and modification. While such policies should be considered as part of an organization’s larger corporate responsibility, recent literature (e.g., Herden et al. 2021; Lobschat et al. 2021) has begun to propose the concept of corporate digital responsibility (CDR). Also, the Business and Information Systems Engineering (BISE) community has set its sights on the concept and the research opportunities connected to it (e.g., Mihale-Wilson et al. 2022). This is evidenced by the attention dedicated to digital forms of corporate responsibility through, for instance, conferences (e.g., WI’23) and special issues. In an effort to catalyze the emergence of a discourse on CDR in the BISE community and beyond, this catchword briefly reviews the motivational background and conceptual roots of CDR. It further provides and overview of extant definitions and contributions, synthesizing two key domains of CDR – a content-oriented perspective on digital ethics and an instrumental perspective on governance. Before concluding with an outlook, the catchword looks at debates and tensions in the still young body of literature on CDR, providing inspiration and guidance for potential future research in the BISE community.
I Gede Agus Kurniawan, Putu Aras Samsithawrati, Princess Alyssa D. Tee-anastacio
Introduction: In the business world, law plays a crucial role as a guideline that maintains stability and justice. However, its implementation often benefits parties with significant influence, necessitating an approach that considers moral and ethical aspects to achieve true justice.
Purposes of the Research: Explore and analyze how the principles of justice and ethics rooted from the perspective of legal philosophy are applied in the practice of business law
Methods of the Research: This study employs a normative legal research method with a conceptual approach, examining legal norms, principles of distributive and commutative justice, and ethical responsibilities in business based on primary and secondary legal sources.
Results Main Findings of the Research: The findings reveal that the principles of justice and ethics in legal philosophy are applied in business law practice by prioritizing distributive and commutative justice, as well as ethical responsibility toward society. Distributive justice seeks to ensure fair business competition and equal opportunities for business actors, while commutative justice guarantees equality of rights and obligations through fair contracts. However, significant challenges remain in implementing justice and business ethics in Indonesia, including weak oversight, the dominance of large corporations, and low awareness of social responsibility.
Purpose: This study investigates whether institutional quality influences monetary partaking (financial inclusion) among SMEs in Middle East and North African (MENA) countries. It analyses how political stability, government effectiveness, and regulatory quality shape SME access to financial services across a 29-year period (1996–2023).
Design/Methodology/Approach: The study adopts an ex-post facto research design using secondary data from the Worldwide Governance Indicators (WGI) and Global Findex database. Financial inclusion indicators include SME access to credit, savings, and digital payments. Institutional quality is measured through political stability, regulatory quality, and government effectiveness. Robust regression analysis was applied to address non-normal data distribution, confirmed by a Shapiro–Wilk test (W = 0.977, p < 0.05), while a Breusch-Pagan test (χ² = 0.01, p = 0.9097) verified homoscedasticity.
Findings: Political stability (β = 0.288, p < 0.001) and regulatory quality (β = 0.584, p < 0.001) significantly enhance SME financial inclusion, while government effectiveness has no significant effect (β = 0.001, p = 0.985). The model accounts for 86.74% of the variation in financial inclusion (R² = 0.8674), highlighting institutional factors as key determinants.
Implications/Originality/Value: The study underscores the importance of improving political stability and regulatory frameworks to expand SME financial inclusion in MENA countries. It contributes original long-term empirical evidence and provides practical insights for policymakers aiming to strengthen institutional environments and reduce financial barriers for SMEs.
The rapid integration of AI into business and management demands ethical and responsible technology design and deployment. While various policies and frameworks exist, there is limited understanding of operationalizing responsible artificial intelligence (RAI). The literature remains fragmented, lacking cohesion and clarity. This bibliometric analysis quantitatively evaluates RAI literature’s research trends, key authors, collaborations, and thematic evolution in the business and management domain. A carefully designed search protocol based on an extensive literature review was used to retrieve 1942 research papers from the Scopus database (1981–2025), reflecting a 13.12 % annual growth rate and an average of 25.79 citations per paper. The study applied bibliographic coupling, keyword co-occurrence, and thematic mapping techniques using VOSviewer and Biblioshiny to identify intellectual structures and conceptual linkages. The results reveal four key clusters: ''Ethics and Social Impacts of AI'', ''AI Adoption and Human-AI Interaction'', ''Auditing, Explainability, and Accountability in AI'', and ''Corporate Governance and Data Responsibility in AI''. Future research directions for each cluster are proposed, providing valuable insights for practitioners and academicians. The paper highlights critical implications for developing responsible AI strategies in business and offers guidance for advancing scholarly work in this growing field.
Vidya Venkatesan, Aomawa L. Shields, Russell Deitrick
et al.
Eccentric planets may spend a significant portion of their orbits at large distances from their host stars, where low temperatures can cause atmospheric CO2 to condense out onto the surface, similar to the polar ice caps on Mars. The radiative effects on the climates of these planets throughout their orbits would depend on the wavelength-dependent albedo of surface CO2 ice that may accumulate at or near apoastron and vary according to the spectral energy distribution of the host star. To explore these possible effects, we incorporated a CO2 ice-albedo parameterization into a one-dimensional energy balance climate model. With the inclusion of this parameterization, our simulations demonstrated that F-dwarf planets require 29% more orbit-averaged flux to thaw out of global water ice cover compared with simulations that solely use a traditional pure water ice-albedo parameterization. When no eccentricity is assumed, and host stars are varied, F-dwarf planets with higher bond albedos relative to their M-dwarf planet counterparts require 30% more orbit-averaged flux to exit a water snowball state. Additionally, the intense heat experienced at periastron aids eccentric planets in exiting a snowball state with a smaller increase in instellation compared with planets on circular orbits; this enables eccentric planets to exhibit warmer conditions along a broad range of instellation. This study emphasizes the significance of incorporating an albedo parameterization for the formation of CO2 ice into climate models to accurately assess the habitability of eccentric planets, as we show that, even at moderate eccentricities, planets with Earth-like atmospheres can reach surface temperatures cold enough for the condensation of CO2 onto their surfaces, as can planets receiving low amounts of instellation on circular orbits.
Omar Chabán, Alfredo Flores-Hernández, María Eugenia López-Pérez
et al.
Society in general, and markets in particular, are increasingly sensitive to principles linked to corporate social responsibility (CSR) and sustainability. The literature is prolific in this vein—providing a broad range of research covering the terms’ meaning, implementation processes, drivers and brakes and the impact on variables of interest for business management. Far fewer studies, however, address these phenomena in the context of emerging economies. In response to the growing interest in developing countries in terms of the population and market, this study aims to deepen the vision of large-firm managers in an emerging LATAM economy—namely, Peru—while providing insights into the potential impact of a number of different cross-cultural traits. To this end, we opted for a grounded theory-based approach. Data were collected by way of nine semi-structured interviews with managers at the same number of Peruvian firms. Our findings both coincide with and differ from the extant CSR literature in terms of signification, implementation and intensity, perceived benefits and consumer behavior. Key theoretical and practical implications of our research are discussed in the final section.
Political institutions and public administration (General)
Purpose: This research aims to ascertain the link between green supply chain management practices (GSCMP) and green brand association (GBA), as well as the role that GBA plays as a mediator between GSCMP and GBS, among Pakistani apparel brands. Consumers in Pakistan who have purchased green apparel brands are the subject of the study.
Design/Methodology/Approach: With the use of purposive sampling, 446 valid replies in total were obtained. In order to validate the research framework employing SMART-PLS, this study also carried out an empirical investigation using a questionnaire survey and a structural equation model (SEM).
Findings: The findings indicate a direct relationship between GSCMP (green information systems and reverse logistics) and GBA. Furthermore, the connection between GSCMP and GBS is mediated, according to this research, by green brand associations. While businesses often boost the GBS of their customer, they also need to raise the GSCMP, or green brand associations.
Implications/Originality/Value:
This study closes the research gap by demonstrating how GSCMP may favorably improve GBS via associations with green brands using the SOR model. The results of this study may assist managers of apparel brands in creating a stronger green branding strategies that encourage sustainable consumption.
Purpose – The purpose of the paper is to investigate the association between corporate social responsibility (CSR) and investment efficiency (INE) in Bangladeshi pharmaceutical companies and to explore the moderating role of corporate reputation in this relationship. Design/methodology/approach – The paper employs a two-step method, with stage 1 involving the development of a theoretical model using the literature's strategic framework and stage 2 using structural equation modelling (SEM) to investigate the relationships between variables. The data set used in the analysis includes 296 responses from senior executives/managers and subordinates at Bangladeshi pharmaceutical firms. Findings – The study finds that CSR activities that focus on customers, employees and the community significantly affect INE, as well as the extended stakeholders, and that company reputation moderates this relationship. The effect of CSR on INE differs between well-established companies and business firms with favourable reputations. Practical implications – The paper contributes to understanding the relationship between CSR and INE in a developing country context and highlights the importance of corporate reputation in this relationship. The findings suggest that companies can enhance their INE through CSR initiatives and that a positive reputation can strengthen this relationship further. Originality/value – The study adds to the limited literature on CSR and INE in developing countries and provides new insights into the moderating role of corporate reputation in this relationship.
The growth of social networks makes toxic content spread rapidly. Hate speech detection is a task to help decrease the number of harmful comments. With the diversity in the hate speech created by users, it is necessary to interpret the hate speech besides detecting it. Hence, we propose a methodology to construct a system for targeted hate speech detection from online streaming texts from social media. We first introduce the ViTHSD - a targeted hate speech detection dataset for Vietnamese Social Media Texts. The dataset contains 10K comments, each comment is labeled to specific targets with three levels: clean, offensive, and hate. There are 5 targets in the dataset, and each target is labeled with the corresponding level manually by humans with strict annotation guidelines. The inter-annotator agreement obtained from the dataset is 0.45 by Cohen's Kappa index, which is indicated as a moderate level. Then, we construct a baseline for this task by combining the Bi-GRU-LSTM-CNN with the pre-trained language model to leverage the power of text representation of BERTology. Finally, we suggest a methodology to integrate the baseline model for targeted hate speech detection into the online streaming system for practical application in preventing hateful and offensive content on social media.
This systematic literature review explored the application of Ubuntu, an African philosophy, in business contexts. Ubuntu has been increasingly recognized for its potential to advance positive outcomes in various settings. However, despite its growing prominence, a comprehensive understanding of Ubuntu's antecedents, descriptors and consequences is still required. This paper analyzed existing articles, using a thorough search strategy to identify relevant literature. The findings of this paper reveal that the most ubiquitous precursors of Ubuntu in businesses are a mandate for corporate social responsibility and cultural diversity. A business culture of fairness was found to be the most prevalent driver of implementing this philosophy. Conversely, individualism was determined to be the prevailing inhibitor of Ubuntu. Humanness and interdependence were found to be the most frequently used descriptions of Ubuntu in the included articles. Increased collaborative decision-making and better stakeholder relations are the most common outcomes found. This study concludes with managerial implications and recommendations for future research.
Brigitte Medally ASPARRENT REVOLLAR, Raquel Elizabeth LEÓN TORRES, Camilo Mauricio GRILLO TORRES
et al.
This study determined and compared the career perceptions of Tourism and Hospitality undergraduate students, before
and during the COVID-19 pandemic, in an emerging economy country, the approach is mixed methods and simple purposive
random sampling technique. Responses from 212 students enrolled in the year 2022-II were obtained for the quantitative
analysis. The Wilcoxon Mann-Whitney test showed that the null hypothesis is rejected since the overall career perception was p
= 0.000000159 and "p" is less than 0.05, so there is a significant difference in the career perception of students before and during
the pandemic. For the qualitative part, through the interview guide, the results revealed that students perceive that the situation of
the tourism industry has been severely affected; their career opportunities were entirely uncertain. Finally, it is proposed to
implement a career opportunities program that caters to the desires and needs of the students to help them adapt to current events.
Measuring patient satisfaction and trust across various dimensions poses a challenge in the economic dynamics and service business development. Therefore, this study aims to analyze determinant factors of patient satisfaction and their impact on pharmacy trust. The investigation was carried out using a cross-sectional survey method with purposive sampling, and the questionnaire was designed based on a scientific literature review. The valid data obtained from 301 respondents were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results showed that the greatest antecedent to patient satisfaction was drug efficacy, followed by drug education, personnel quality, and financial-health coverage (all significant at p &lt; 0.05). Patient satisfaction positively influenced trust in the pharmacy (p &lt; 0.05). However, the physical aspect, procedures-service promptness, medication supply, and social responsibility did not affect patient satisfaction. These results suggest that the process and outcome elements of pharmacy service are critical factors in relationships between patients and pharmacies.
Social media (i.e., Reddit) users are overloaded with people's opinions when viewing discourses about divisive topics. Traditional user interfaces in such media present those opinions in a linear structure, which can limit users in viewing diverse social opinions at scale. Prior work has recognized this limitation, that the linear structure can reinforce biases, where a certain point of view becomes widespread simply because many viewers seem to believe it. This limitation can make it difficult for users to have a truly conversational mode of mediated discussion. Thus, when designing a user interface for viewing people's opinions, we should consider ways to mitigate selective exposure to information and polarization of opinions. We conducted a needs-finding study with 11 Reddit users, who follow climate change threads and make posts and comments regularly. In the study, we aimed to understand key limitations in people viewing online controversial discourses and to extract design implications to address these problems. Our findings discuss potential future directions to address these problems.
The contribution deals with qualitative and quantitative analysis of relationship between business processes performance to be investigated (hereinafter BP) versus performance of employees who are interested in that BP functionality hereinafter known as Employees). The qualitative analysis deals with human resources performance psychological aspects, while the quantitative analysis is closely related to BP and Employee performance quantification and modelling. On one hand, the qualitative analysis describes psychological aspects concerned to human resources and the investigated BP performance. On the other hand, the contribution deals with quantifying those relationships with use of linguistic sets, which create basis of business process linguistic modelling (BPLM) approach as well. The PBPL (Principle Business Process Linguistic) Equation is applied in order to create a conceptual model of the objective oriented expert system, which operates over the knowledge base, which contains adequate semantic networks (SNWs| and reference databases (RDBs), while an appropriate inference engine is applied for user communication with that expert system too.
In the contemporary world, there is a growing need for socially responsible and ethical leadership. Therefore, training future business leaders in the field of professional ethics and social responsibility is an important task of modern university education. To solve it, the participation of scientists and university teachers in the creation and implementation of advanced methods for the development of professional ethics of students is necessary. The aim of the study was to check the effectiveness of training future business leaders in professional ethics at university level using a new methodology created by the authors. In order to verify the hypotheses, an experiment was conducted. Additionally, the questionnaires and tests completed by the participants were analysed. The results of learning according to the new methodology, which confirm the expediency of its use for the development of parameters of professional ethics in future business leaders, are presented. The methodology described in the article can be used by university teachers to train future business leaders, as well as by organizational psychologists to conduct trainings with business leaders and personnel of enterprises and institutions.