Search results

One of the most important challenges confronting enterprise managers is that of controlling employees' social cyberloafing. The use of enterprise social media entails opportunities for cyberloafing. However, previous research on how enterprise social media use affects cyberloafing is rather limited. Using the job demands-resources (JD-R) model, this paper proposes a research model to investigate the relationship between enterprise social media usage and employees' social cyberloafing behavior.

Structural equation modeling was performed to test the research model and hypotheses. Surveys were conducted in an online platform in China, generating 510 employees' data for analysis.

First, both public social media and private social media used for work-related and social-related purposes have a positive effect on employees' job engagement. Further, job engagement has a negative effect on employees' social cyberloafing. Second, the use of public social media for work-related and social-related purposes has no effect on employees' emotional exhaustion. However, work-related private social media usage has a negative effect on employees' emotional exhaustion, and social-related private social media usage has a positive effect on employees' emotional exhaustion. Further, employees' emotional exhaustion has a positive effect on employees' social cyberloafing. Third, there are significant differences in the effects of enterprise social media on employees' social cyberloafing between male and female employees.

First, this paper contributes to the social cyberloafing literature by establishing a relationship between enterprise social media usage and social cyberloafing in relation to the dual influence mechanism. Second, it contributes to the JD-R model by clarifying how the use of enterprise social media with different motivations affects social cyberloafing through a mediation mechanism, namely, an enabling mechanism and a burden mechanism. Third, this paper also contributes to the social cyberloafing literature by revealing the boundary condition, namely gender, between enterprise social media use and employees' social cyberloafing.

By exploring the microimplementation mechanism of common prosperity, this paper aims to offer a strategic direction for Chinese enterprises to achieve sustainable development. It also provides theoretical support and practical guidance for the Chinese Government in exploring feasible paths to common prosperity, starting from the enterprises.

This paper takes the digital business model innovation of Rainbow Planet as a case study, systematically explicating the mechanism through which digital business model innovation fosters common prosperity by constructing a research framework of “digital business model innovation-resource orchestration-common prosperity.”

First, from a microperspective, the role of enterprises in promoting common prosperity in China is confirmed. Second, based on the theory of resource orchestration, it is concluded that digital resources can generate three types of digital effects, such as association, interaction and feedback, through effective resource orchestration under the support of the value elements of the business model. Finally, this paper emphasizes that enterprises should take actions such as demand aggregation, trust building and relationship reshaping to connect with relevant stakeholders, so as to achieve the win-win purpose of improving enterprise competitiveness and deepening common prosperity.

For Chinese enterprises, linking their development with the overall welfare of society is an essential path to sustainable development. Enterprises can promote the integration of their development with social welfare in three aspects: enhancing the efficiency and innovation capability of digital operations, strengthening cooperation with stakeholders and advancing sustainable business models. For the Chinese Government, it is important to encourage enterprises to play a positive role in the fields of economy, environment and society. The government can promote excellent practices in digital innovation, social responsibility and environmental protection among enterprises by publicizing successful cases, inspiring more enterprises to follow suit.

By focussing on the anticipated emotional reactions of volunteers and drawing on theories of motivation and identity, this study investigates how volunteers react to different options of the entrepreneurial model of Amigos for Children Foundation (ACF). The paper proposes a hypothetical model for volunteer’s emotional reactions to potential business model changes. We suggest the relative importance of intrinsic motivational factors, professional identity and attitudes towards business organisations as mediating variables. ACF works exclusively with university students as volunteers, so their specific characteristics may limit some of the conclusions and propositions of this qualitative research, but public policy consequences of supporting similar entrepreneurial transitions can be generally relevant.

Based on the qualitative analysis of semi-structured interviews with volunteers of ACF, a Hungarian non-profit organisation, we explore the challenges of transitioning into a social enterprise.

Previous research showed controversial results about the impact of pay on the motivations of volunteers. For a non-profit organisation that would like to utilise the competencies of its volunteers, introducing a market-based service may mean additional financial resources and the potential loss of human resources. Understanding the moderating factors of volunteers' reactions might help build better theories for managing the non-profit-social enterprise transition and designing public policies to support scaling up the impact of successful social purpose organisations.

For practitioners, the research underlines the importance of participatory mechanisms in volunteer management. By managing transitions better, non-profit organisations can expand their social impact by acquiring more financial resources through market-based activities closely related to their original activities and keeping their volunteers. The study elucidates the relevance of the crowding-out effect and indicates some hypothetical moderating variables influencing its potential degree.

This study aims to solve the realistic dilemma between the importance of entrepreneurship and the high rate of entrepreneurial failure, and to point out the direction of subsequent research.

The paper takes the form of a literature review.

Entrepreneurial activities involve multiple dimensions. Entrepreneurs or entrepreneurial teams will be affected by multiple factors when starting a business, and sufficient attention should be paid to both the factors within the group and the factors outside the group such as institutional quality and market competition. High entrepreneurial failure rate is an essential characteristic of entrepreneurial activities, while solving this problem requires entrepreneurs to maintain passion, clarify their own motivation, improve their learning abilities and adopt appropriate entrepreneurial strategies to improve entrepreneurial performance. Meanwhile, it also urgent to build entrepreneurial teams with common goals, heterogeneous knowledge structure, outstanding learning ability, solid mutual trust, strong social influence and social capital. Successful entrepreneurship should adhere to the perspective of openness and cooperation. It should not only actively strengthen international cooperation but also fully adapt to the country’s system and culture. Sustainable growth of entrepreneurial enterprises requires not only stable commercial revenue but also responsibility to society, which in turn leads to a good reputation and high social recognition.

The authors hope this review can provide some insightful viewpoints for deepening the theoretical system of entrepreneurship, improving the success rate of entrepreneurship and promoting the sustainable growth of enterprises.

Further research can be carried out on the promotion of business growth by entrepreneurship at the micro level in the following aspects: analyze functional mechanism between innovation and entrepreneurship; entrepreneurship research by integrating multiple institutional contexts and cultural traditions; consider the changes in emerging technologies on entrepreneurial activities; diversified mechanism between entrepreneurship education and business growth.

The purpose of this study is to identify the key factors that drive social entrepreneurship (SE) among Ecuadorian social entrepreneurs.

The study was developed following a qualitative and exploratory research design based on the identification of social entrepreneurs through the nonprobabilistic sequential sampling technique, giving a total of fifteen social entrepreneurs who were given a structured interview that was later analyzed in the ATLAS.TI software for the identification, analysis and categorization of drivers.

The results will identify eight drivers for SE, including social exclusion, public support, sources of employment, economic income, family support, environmental awareness and fair trade, as standards and values. Overall, the findings help to improve the understanding of the factors that determine the creation and development of social enterprises in the country.

Deepen and increase the literature on SE in Latin America. Contribute to reducing the knowledge gap on the topic.

Taken together, the results provide empirical evidence and help to better understand the factors that determine the creation and development of social enterprises in the country.

Identificar los factores clave que impulsan el emprendimiento social en emprendedores sociales ecuatorianos.

El estudio se desarrolló siguiendo un diseño de investigación cualitativo y exploratorio basado en la identificación de emprendedores sociales a través de la técnica de muestreo secuencial no probabilístico, obteniendo un total de quince emprendedores sociales a quienes se les realizó una entrevista estructurada que posteriormente fue analizada en el software ATLAS.TI para la identificación, análisis y categorización de impulsores.

Los resultados identificarán ocho impulsores del empresariado social, entre los que se encuentran la exclusión social, el apoyo público, las fuentes de empleo, los ingresos económicos, el apoyo familiar, la conciencia medioambiental y el comercio justo, como normas y valores. En general, los resultados ayudan a mejorar la comprensión de los factores que determinan la creación y el desarrollo de empresas sociales en el país.

En conjunto, los resultados aportan evidencia empírica y ayudan a comprender mejor los factores que determinan la creación y desarrollo de empresas sociales en el país.

Profundizar e incrementar la literatura sobre Emprendimiento Social en América Latina. Contribuir a reducir la brecha de conocimiento sobre el tema.

Identificar os principais fatores que impulsionam o empreendedorismo social nos empreendedores sociais equatorianos.

O estudo foi desenvolvido de acordo com um projeto de pesquisa qualitativo e exploratório baseado na identificação de empreendedores sociais por meio da técnica de amostragem sequencial não probabilística, totalizando quinze empreendedores sociais que foram submetidos a uma entrevista estruturada, posteriormente analisada no software ATLAS.TI para identificação, análise e categorização dos fatores determinantes.

Os resultados identificarão oito motivadores do empreendedorismo social, incluindo exclusão social, apoio público, fontes de emprego, renda econômica, apoio familiar, consciência ambiental e comércio justo, como padrões e valores. Em geral, os resultados ajudam a melhorar a compreensão dos fatores que determinam a criação e o desenvolvimento de empresas sociais no país.

Em conjunto, os resultados fornecem evidências empíricas e ajudam a entender melhor os fatores que determinam a criação e o desenvolvimento de empresas sociais no país.

Aprofundar e aumentar a literatura sobre empreendedorismo social na América Latina. Contribuir para reduzir a lacuna de conhecimento sobre o tema.

This study aimed to (1) elucidate the results of a social outcomes assessment and socio-spatial return analysis of a social innovation village (SIV) program in Thailand, (2) develop a social return on investment (SROI) tool for a digital learning platform of cultural heritage and (3) propose the application of an SROI calculator for policy decision-making.

SROI methodology was applied to analyze data from a sample of 110 individuals from the SIV in the Tha Ruea community, Nakhon Phanom province, Thailand, which is renowned for musical instrument making, to assess the social innovation objectives.

Improvement in the grassroots economy led to increased income, translating to assessment outcomes and social values within the tourism community. Social and digital media platforms link physical and digital spaces to facilitate interactive learning and online tourism in the community.

Since the COVID-19 pandemic led to a pronounced economic decline, especially in the tourism sector, the results only partially capture the actual benefits of SROI. To address the challenge of adapting the ecosystem of local tourism into the alternative market, training programs are recommended, including upskilling and new-skilling courses offered by state agencies, to support this technological trend.

This research illustrates how an integrative platform between digital technology and cultural heritage can address the significant shift in tourism behavior and promote a new era of cultural heritage tourism in virtual and physical spaces.

The purpose of the study is to investigate and analyze the dynamics of the government-enterprise grain joint storage mechanism, particularly, focusing on profit-driven speculative behaviors exhibited by enterprises within this context. The study aims to understand the various factors influencing the behavior of stakeholders involved in grain storage, including government storage departments, agent storage enterprises and quality inspection agencies.

The study employs a tripartite evolutionary game model to investigate profit-driven behaviors in government-enterprise grain joint storage. It analyzes strategies of government departments, storage enterprises and quality inspection agencies, considering factors like supervision costs and speculative risks. Simulation analysis examines tripartite payoffs, initial probabilities and the impact of digital governance levels to enhance emergency grain storage effectiveness.

The study finds that leveraging digital governance tools in government-enterprise grain joint storage mechanisms can mitigate risks, enhance efficiency and ensure the security of grain storage. It highlights the significant impact of supervision costs, speculative risks and digital supervision levels on stakeholder strategies, offering guidance to improve the effectiveness of emergency grain storage systems.

The originality of this study lies in its integration of digital governance tools into the analysis of the government-enterprise grain joint storage mechanism, addressing profit-driven speculative behaviors. Through a tripartite evolutionary game model, it explores stakeholder strategies, emphasizing the impact of digital supervision levels on outcomes and offering insights crucial for enhancing emergency grain storage effectiveness.

The purpose of this paper is twofold: first, it explores the influencing factors of the government’s trust decision-making in the private sector; second, it explores how these influencing factors affect the government’s trust decisions.

A theoretical model was established, and a questionnaire survey was conducted among 152 professionals. The collected datas were analyzed by the structural equation modeling (SEM) method.

The study identified four critical factors that influence the government’s decision to trust the private sector in public-private-partnership (PPP) projects. All the four factors have a positively correlated impact on the government’s trust decision-making. The structural equation path analysis shows that the most important factor affecting the government’s trust decision-making is the trustee’s (private sector) trustworthy characteristics, and the path coefficient is 0.92. The path coefficients of risk perception and the trustor’s trust tendency are 0.83 and 0.74, respectively. The influence of the legal system environment on government trust decision-making is moderate, with a path coefficient of 0.68.

This paper contributes to the literature in two aspects. First, the factors influencing decision-making to government trust in the private sector in PPP projects have been identified. Second, a comprehensive view of the mechanism of government trust in the private sector in PPP projects has been theorized by the SEM method.

With the increasing use of social media in operation and supply chain management (OSCM), it is of great importance for managers to consider risks in advance and take precautions against the risks that might arise from social media usage among supply chain members. The aim of this research is to identify and evaluate the risks related to the use of social media in OSCM.

An initial research of the literature revealed that there is no detailed risk categorization in this area. Current taxonomies on the business risks of social media usage were examined and integrated with classifications identified in a Delphi study. The authors empirically demonstrate how the determined risks are prioritized and how decision-makers may decide to manage risks effectively based on the analytical hierarchy process (AHP) method.

The findings of the research showed that reputation-associated risks such as criticism, language and loss of confidence should be prioritized over human, content and technical-associated risks.

To date, a comprehensive approach to determine risks arising from using social media in OSCM is missing. With the Delphi and AHP techniques, the authors provide a novel insight for managers to mitigate risks. The outcomes of this study may assist executives in achieving successful management of social media usage in OSCM. Besides, the proposed AHP model may provide guidelines and direction in this regard.

The purpose of this paper is to develop a comprehensive understanding of the public safety risks of international construction projects (ICPs) from the perspective of threat and vulnerability. A novel and comprehensive risk assessment approach is developed from a systemic perspective and applied to the Belt and Road Initiative (BRI) to improve the public safety risk management strategy for ICPs in BRI.

First, a public safety risk indicator system was constructed from the two dimensions, namely threat and vulnerability. Next, an integrated measurement model was constructed by combining the Genetic Algorithm-Backpropagation (GA-BP) neural network, fuzzy comprehensive evaluation method and matter-element extension (MME) method. Data from 49 countries involved in the BRI, as well as five typical projects, were used to validate the model. Finally, targeted risk prevention measures were identified for use at the national, enterprise and project levels.

The findings indicate that while the vulnerability risks of typical projects in each region of the BRI were generally low, threat risks were high in West Asia and North Africa, Commonwealth of Independent States (CIS) countries and South Asia.

First, the structure of the public safety risk system of ICPs was analyzed using vulnerability and system theories. The connotation of public safety risk was defined based on two dimensions, namely threat and vulnerability. The idea of measuring threat risk with public data and measuring vulnerability risk with project data was clarified, and the risk measurement was integrated into the measurement results to help researchers and managers understand and systematically consider the public safety risks of ICPs. Second, a public safety risk indicator system was constructed, including 18 threat risk indicators and 14 vulnerability risk indicators to address the gaps in the existing research. The MEE model was employed to overcome the problem of incompatible indicator systems and provide stable and credible integrated measurement results. Finally, the whole-process public safety risk management scheme designed in this study can help to both provide a reference point for the Chinese enterprises and oversea contractors in market selection as well as improve ICP public safety risk management.