Hasil untuk "Social responsibility of business"

Sania Sabaa, Saptaningsih Sumarmi, Basma Al-Hariry et al.

This study examines the impact of gamification in marketing and artificial intelligence (AI) stimuli on customer engagement, with customer ability readiness as a moderating factor in the Saudi telecommunications sector. Using the Stimulus-Organism-Response (SOR) model, this research investigates how AI-driven personalization and gamification strategies influence customer interactions, motivation, and loyalty. A quantitative research approach was employed, utilizing Structural Equation Modeling (SEM) to analyze survey responses from 400 Saudi telecom users. The results confirm that gamification and AI stimuli positively influence customer engagement, with customer ability readiness significantly moderating these relationships. Consumers with higher technological proficiency are more likely to benefit from AI-driven and gamified experiences, while those with lower readiness may struggle to engage effectively. These findings highlight the importance of designing adaptive and inclusive marketing strategies tailored to different levels of digital proficiency. This study contributes to the theoretical literature by expanding the SOR model to include customer ability readiness as a moderating factor. It also provides practical insights for marketers in the Saudi telecom industry, emphasizing the need for personalized, user-friendly AI and gamification strategies. The findings align with Saudi Vision 2030’s goals of digital transformation and customer-centric innovation, offering valuable implications for businesses seeking to enhance customer engagement.

Putri Elvina Clarissa Dewi, Nur Isna Inayati, Ani Kusbandiyah et al.

This study aims to analyze the contribution of Green Accounting and Material Flow Cost Accounting (MFCA) to the achievement of sustainable development in consumer non-cyclical sector companies listed on the Indonesia Stock Exchange (IDX) during the 2021–2023 period. The background of this study stems from the increasing pressure to integrate environmental aspects into business strategies, both as a form of social responsibility and as an effort to maintain the company's legitimacy in the eyes of the public. This research employs a quantitative approach with a sample of 61 companies and a total of 183 observational data points. The testing was conducted using panel data regression analysis with the Random Effect Model (REM). The classical assumption test results indicated no multicollinearity, but heteroscedasticity was found; therefore, Robust Standard Errors were applied in the data processing. The findings reveal that Green Accounting does not have a significant effect on sustainable development, whereas MFCA has a positive and significant influence. These results suggest that cost efficiency through the management of material flows can drive a company’s sustainability achievements. On the other hand, the suboptimal implementation of Green Accounting in strategic decision-making processes hinders its contribution to sustainability. This study provides important implications for companies and policymakers to strengthen the implementation of integrated, measurable, and goal-aligned environmental accounting practices in support of sustainable development.

Ali Alhijris, Asem Alnasser

This study investigates the relationships between strategic green marketing orientation (SGMO), green innovation, and marketing performance within the manufacturing sector in Saudi Arabia. Employing a cross-sectional research design, data was collected from mid-level employees in the marketing departments of manufacturing firms. A total of 357 responses were gathered using a structured questionnaire, which measured the three key constructs using validated scales adapted from prior studies. Structural equation modeling (SEM) was utilized to analyze the data, enabling the examination of both direct and indirect relationships among the variables. Results revealed that SGMO has a strong positive effect on green innovation, which in turn significantly enhances marketing performance. Additionally, green innovation was found to mediate the relationship between SGMO and marketing performance, highlighting its pivotal role in translating green marketing strategies into improved market outcomes. The study underscores the importance of integrating environmental concerns into marketing strategies and fostering green innovation to achieve sustainable business success. These findings offer valuable insights for managers and policymakers in the manufacturing sector, emphasizing the need to align green marketing practices with innovation to drive both environmental and economic benefits.

Zexu Li, M. Amin Rahimian, Lei Fang

Collective foragers, from animals to robotic swarms, must balance exploration and exploitation to locate sparse resources efficiently. While social learning is known to facilitate this balance, how the range of information sharing shapes group-level outcomes remains unclear. Here, we develop a minimal collective foraging model in which individuals combine independent exploration, local exploitation, and socially guided movement. We show that foraging efficiency is maximized at an intermediate social learning range, where groups exploit discovered resources without suppressing independent discovery. This optimal regime also minimizes temporal burstiness in resource intake, reducing starvation risk. Increasing social learning range further improves equity among individuals but degrades efficiency through redundant exploitation. Introducing risky (negative) targets shifts the optimal range upward; in contrast, when penalties are ignored, randomly distributed negative cues can further enhance efficiency by constraining unproductive exploration. Together, these results reveal how local information rules regulate a fundamental trade-off between efficiency, stability, and equity, providing design principles for biological foraging systems and engineered collectives.

Zheng Wei, Yunqi Li, Yucheng He et al.

Social media use has been shown to be associated with low fertility desires. However, we know little about the discourses surrounding childbirth and parenthood that people consume online. We analyze 219,127 comments on 668 short videos related to reproduction and parenthood from Douyin and Tiktok in China, South Korea, and Japan, a region famous for its extremely low fertility level, to examine the topics and sentiment expressed online. BERTopic model is used to assist thematic analysis, and a large language model QWen is applied to label sentiment. We find that comments focus on childrearing costs in all countries, utility of children, particularly in Japan and South Korea, and individualism, primarily in China. Comments from Douyin exhibit the strongest anti-natalist sentiments, while the Japanese and Korean comments are more neutral. Short video characteristics, such as their stances or account type, significantly influence the responses, alongside regional socioeconomic indicators, including GDP, urbanization, and population sex ratio. This work provides one of the first comprehensive analyses of online discourses on family formation via popular algorithm-fed video sharing platforms in regions experiencing low fertility rates, making a valuable contribution to our understanding of the spread of family values online.

Maxence Morin, Baptiste Hemery, Fabrice Jeanne et al.

Social network analysis is pivotal for organizations aiming to leverage the vast amounts of data generated from user interactions on social media and other digital platforms. These interactions often reveal complex social structures, such as tightly-knit groups based on common interests, which are crucial for enhancing service personalization or fraud detection. Traditional methods like community detection and graph matching, while useful, often fall short of accurately identifying specific groups of users. This paper introduces a novel framework specifically designed to identify groups of users within transactional graphs by focusing on the contextual and structural nuances that define these groups.

Deepa Sharma, Suman Chakraborty

This study aims to analyse the relationship between Corporate Social Responsibility (CSR) and Corporate Financial Performance (CFP) of Indian firms with the moderating role of CSR strategic integration on the relationship. This study examined a sample of 134 manufacturing firms listed on the National Stock Exchange of India from 2011 to 2021. The authors used a random effects panel regression model to study how CSR strategic integration affects the CSR-CFP relationship. The findings of this study show a significantly negative impact of CSR on CFP. Regarding the moderating effect, a positive interaction of CSR strategic integration is found, which means that the relationship between CSR and CFP is strengthened when CSR is undertaken by businesses that consider the goals of a firm. The study suggests that different measures of CSR strategic integration can be used in future studies, and market-based financial performance measures can be additionally used to test these relationships. The study contributes to the literature concerning CSR-CFP relationship by taking CSR strategic integration as the moderating variable, which is a novel idea. This study also provides suggestions to companies and policymakers who can incorporate strategic considerations in the business case of CSR, which will create positive outcomes for both companies and society.

Karen L. Pellegrin, Sarah Hales, Patrick O'Neil et al.

Objectives: Research on links between social, geographic, and cultural determinants of health has been thwarted by inadequate measures of culture. The purpose of this study was to improve the measurement of community culture, defined as shared patterns of attitudes and behaviors among people within a neighborhood that distinguish it from others, and to examine dimensions of culture, independent of socioeconomic and demographic factors, and their relationships with health. Study design: A survey research design with correlational analyses was used. Methods: A survey packet including the Community Culture Survey – Revised (CCS-R), demographic, health, and other individual-level measures was administered through convenience sampling across the United States (US) and to a sample in Thailand from 2016 to 2018. US county-level variables were obtained from zip codes. Results: 1930 participants from 49 US states (n = 1592) and Thailand (n = 338) completed all CCS-R items, from which 12 subscales were derived: Social Support & Connectedness, Responsibility for Self & Others, Family Ties & Duties, Social Distress, Urban Diversity, Discontinuity, Church-Engaged, External Resource-Seeking, Locally Owned Business-Active, Power Deference, Next Generation Focus, and Self-Reliance. Neighborhood culture subscale scores varied more by geography than by participant's demographics. All subscales predicted one or more health indicator, and some of these relationships were significant after adjusting for participant age and county-level socioeconomic variables. Most of the significant differences on subscales by race/ethnicity were no longer significant after adjusting for participant's age and county-level socioeconomic variables. Most rural/urban and regional differences in culture within the US persisted after these adjustments. Based on correlational analyses, Social Support & Connectedness and Responsibility for Self & Others were the best predictors of participants' overall health and quality of life, and Responsibility for Self & Others was the best predictor (inversely) of the CDC's measures of social vulnerability. Conclusions: Neighborhood culture is measurable, multi-dimensional, distinct from race/ethnicity, and related to health even after controlling for age and socioeconomic factors. The CCS-R is useful for advancing research and practice addressing the complex interactions between individuals, their neighborhood communities, and health outcomes.

Марина Дєліні, Мар’яна Аксентюк

The article examines the social responsibility of business under the conditions of a full-scale war in Ukraine, its main trends and new directions that arise depending on the needs of society. 2 stages of the development of social responsibility of business during the war time were defined, where the first stage was more aimed at evacuating personnel or residents of the area where hostilities were taking place, providing shelter to the population, helping with food or basic necessities, and the second stage already has more areas of application. It was determined that social responsibility becomes the key to the development of a socio-economically inclusive environment through the implementation of hiring practices for veterans, people with disabilities, IDPs and other groups, financing grants for starting a business or providing other forms of assistance. The role of agricultural enterprises in ensuring food security of the state, including through socially responsible practices, is indicated.

Luca Luceri, Jinyi Ye, Julie Jiang et al.

Understanding susceptibility to online influence is crucial for mitigating the spread of misinformation and protecting vulnerable audiences. This paper investigates susceptibility to influence within social networks, focusing on the differential effects of influence-driven versus spontaneous behaviors on user content adoption. Our analysis reveals that influence-driven adoption exhibits high homophily, indicating that individuals prone to influence often connect with similarly susceptible peers, thereby reinforcing peer influence dynamics, whereas spontaneous adoption shows significant but lower homophily. Additionally, we extend the Generalized Friendship Paradox to influence-driven behaviors, demonstrating that users' friends are generally more susceptible to influence than the users themselves, de facto establishing the notion of Susceptibility Paradox in online social influence. This pattern does not hold for spontaneous behaviors, where friends exhibit fewer spontaneous adoptions. We find that susceptibility to influence can be predicted using friends' susceptibility alone, while predicting spontaneous adoption requires additional features, such as user metadata. These findings highlight the complex interplay between user engagement and characteristics in spontaneous content adoption. Our results provide new insights into social influence mechanisms and offer implications for designing more effective moderation strategies to protect vulnerable audiences.

Simindokht Jahangard, Zhixi Cai, Shiki Wen et al.

Understanding human social behaviour is crucial in computer vision and robotics. Micro-level observations like individual actions fall short, necessitating a comprehensive approach that considers individual behaviour, intra-group dynamics, and social group levels for a thorough understanding. To address dataset limitations, this paper introduces JRDB-Social, an extension of JRDB. Designed to fill gaps in human understanding across diverse indoor and outdoor social contexts, JRDB-Social provides annotations at three levels: individual attributes, intra-group interactions, and social group context. This dataset aims to enhance our grasp of human social dynamics for robotic applications. Utilizing the recent cutting-edge multi-modal large language models, we evaluated our benchmark to explore their capacity to decipher social human behaviour.

Yanbing Wang, Michael S. Delgado, Jin Xu

Abstract We investigate the circumstances under which socially responsible investing (SRI) enhances firm long-term financial performance, and therefore provides incentives for firms to self-regulate their environmental performance. Aggregating portfolios across SRI mutual funds, we estimate the effect of SRI investment with environmental screening criteria on firm cost of equity capital. We find that accounting for interactions between firm and non-shareholder stakeholders, and potential agency costs associated with certain environmental activities of the firm, SRI can facilitate the alignment of firms’ environmental and financial goals. We also find that an industry group’s environmental performance and diversity influence the extent to which a firm in that group can benefit from SRI investment.

Liam Hebert, Gaurav Sahu, Yuxuan Guo et al.

We present the Multi-Modal Discussion Transformer (mDT), a novel methodfor detecting hate speech in online social networks such as Reddit discussions. In contrast to traditional comment-only methods, our approach to labelling a comment as hate speech involves a holistic analysis of text and images grounded in the discussion context. This is done by leveraging graph transformers to capture the contextual relationships in the discussion surrounding a comment and grounding the interwoven fusion layers that combine text and image embeddings instead of processing modalities separately. To evaluate our work, we present a new dataset, HatefulDiscussions, comprising complete multi-modal discussions from multiple online communities on Reddit. We compare the performance of our model to baselines that only process individual comments and conduct extensive ablation studies.

Muhammad Jahanzaib, Ghulam Fatima, Dur e Nayab

Purpose: This study is an effort to depict the level of satisfaction in children with vision impairment and their parents about instructional practices and educational provisions available at primary level in Government Special Education Institutions of Punjab, Pakistan. Design/Methodology/Approach: It was a descriptive mixed method research. Multistage sampling technique was applied to collect the data from randomly selected 31 parents and 53 students with vision impairment studying in fifth grade. Three institutions were randomly selected from each zone to conduct the structured interviews from parents while four special education institutions were chosen randomly from each zone to fill the questionnaires by all available CWVI studying at primary level. Findings: The study reported that the majority of parents are belonging to low socio economic status and they have minimum level of education and awareness and as do CWVI. Teachers usually have good attitude with parents. School management gave stipend, uniform and shoes in time. In addition CWVI praised the instructional practices of their teachers in reading, writing, mathematics, assigning & checking homework, regular class tests and provision of result cards to their parents. But they had reservations due to lack of training in orientation and mobility, absence of training in vocational skills and lack of in time availability of Braille books Implications/Originality/Value: Study recommended that various programs and seminars should be arranged for parents to get better understanding of the standards of instructional practices and educational provisions.  Braille books and Braille equipments should be provided to CWVI. Sufficient training about orientation and mobility, vocational subjects and use of assistive devices/IT should be provided to students in all special education institutions.

Felicitas Pietrulla, Karolin Frankenberger

The concept of circular business models, defined as firm activities to create and capture value in a circular manner by, for example, extending or continuously reusing product materials, has received increasing attention in management research. The emerging literature, however, lacks theoretical underpinning and empirical findings are not cumulative. Therefore, this article analyzes existing and related research in much detail and presents a comprehensive research model on antecedents, moderators, and outcomes of circular business models. The theories and related research streams considered for the research framework include Institutional Theory, Managerial Cognition, Dynamic Capabilities, Corporate Social Responsibility, Business Model Innovation, and Ecosystems. Gaps within and across the respective research streams concerning circular business models are revealed, and relevant avenues for future research are suggested.

Preslav Nakov, Firoj Alam, Yifan Zhang et al.

Fighting the ongoing COVID-19 infodemic has been declared as one of the most important focus areas by the World Health Organization since the onset of the COVID-19 pandemic. While the information that is consumed and disseminated consists of promoting fake cures, rumors, and conspiracy theories to spreading xenophobia and panic, at the same time there is information (e.g., containing advice, promoting cure) that can help different stakeholders such as policy-makers. Social media platforms enable the infodemic and there has been an effort to curate the content on such platforms, analyze and debunk them. While a majority of the research efforts consider one or two aspects (e.g., detecting factuality) of such information, in this study we focus on a multifaceted approach, including an API,\url{https://app.swaggerhub.com/apis/yifan2019/Tanbih/0.8.0/} and a demo system,\url{https://covid19.tanbih.org}, which we made freely and publicly available. We believe that this will facilitate researchers and different stakeholders. A screencast of the API services and demo is available.\url{https://youtu.be/zhbcSvxEKMk}

Mateusz Kurowski, Katarzyna Huk

The development of the economy is related not only to its benefits, but also its negative aspects. One of the negative impacts is the impact on the environment and society. Many types of industry and, in a narrower sense, of enterprises, adversely affect their surroundings. It is one of the many factors that has contributed to the growing popularity of the concept of corporate social responsibility (CSR). It is important to balance business and industry with the environment and community impacts. This study presents selected aspects of corporate social responsibility, such as society, the environment, and corporate governance in relation to the industry responsible for energy production and distribution. This group includes the energy sector (mining oil, gas, consumer fuels, and energy equipment and services), the materials sector (metallurgy and mining), as well as distribution (gas, electricity supply, independent energy producers, and renewable energy). The aim of the article was to present the level of implementation of the concept of corporate social responsibility in enterprises responsible for the production and supply of energy. The article uses the analysis of the literature and the statistical analysis showing the level of use of the described concept in the analysed entities. It was based on an analysis of 1904 companies from 41 countries around the world. The article presents the level of implementation of the concept of corporate social responsibility in selected sectors, divided into three areas: social, environmental, and corporate governance. In each of them, the analysis was performed with regard to the selected, most important factors. In addition, an analysis of the described industry, in relation to the others, is presented, which shows the level of use of individual CSR aspects. Thus, it shows which criteria are followed by enterprises in their activities and indicates the real areas of CSR impact on companies.

Ewa Jastrzębska

Theoretical background: In 2015, the UN announced 17 Sustainable Development Goals (SDGs), which set global lines for action by 2030. It is quite common to believe that the COVID-19 pandemic will negatively affect the implementation of SDGs. Business is both a partner and a recipient of SDGs and without its involvement achievement of sustainable development is not possible. In addition to the studies on business activity in the pandemic era, initiatives collecting good business practices have begun to emerge. One of them is the action called #BiznesReagujeOdpowiedzialnie of Responsible Business Forum. Purpose of the article: An attempt to assess Corporate Social Responsibility (CSR) business leaders’ actions in Poland undertaken in response to socio-economic consequences of COVID-19 pandemic, made from the point of view of the concept of corporate social responsibility and the UN SDGs. Research methods: A critical analysis of literature on this subject and web research. Main findings: Actions of Responsible Business Forum’s strategic business partners are primarily an ad-hoc and direct response to the pandemic, focused on the groups most affected. While some actions will certainly have positive long-term effects, it is currently difficult to assess their long-term netto effect on sustainable development.

Panţa Nancy Diana

The intensive use of resources and the environmental impacts associated with the growth of the world's population have made it clear that the traditional twentieth-century way of doing business is not enough for a sustainable future. Thus, businesses are forced to make a transition towards new forms of management, adapted to the reality of the global - social, political, economic, ecological and technological - context, which is becoming more and more unpredictable and raises more challenges than it did a decade ago. Thus, stakeholders expect and demand improved products and services, made with a low negative impact on the environment and society. The requirements end up being applied not only to every facet of the business, but also to its partners. Overall, changing the way we do business today is undoubtedly not only complex, but also exciting for many managers who need to integrate sustainable development and sustainability into their strategic approach. In addition, a new sense of responsibility is developing for future generations as the effects of resource overexploitation and pollution increase. The sense of responsibility also evolves in the relationship between stakeholders and companies, which is why the latter are moving towards adapting their own strategic orientation. me one of the starting points for sustainable development. Under these circumstances, the question arises on how managers are supposed to integrate sustainability into their strategies. Consequently, this paper aims to explore the understanding of managing sustainability and provide a generic clarification for it.

Yiding Cao, Yingjun Dong, Minjun Kim et al.

Collective idea generation and innovation processes are complex and dynamic, involving a large amount of qualitative narrative information that is difficult to monitor, analyze, and visualize using traditional methods. In this study, we developed three new visualization methods for collective idea generation and innovation processes and applied them to data from online social network experiments. The first visualization is the Idea Cloud, which helps monitor collective idea posting activity and intuitively tracks idea clustering and transition. The second visualization is the Idea Geography, which helps understand how the idea space and its utility landscape are structured and how collaboration was performed in that space. The third visualization is the Idea Network, which connects idea dynamics with the social structure of the people who generated them, displaying how social influence among neighbors may have affected collaborative activities and where innovative ideas arose and spread in the social network.