Enterprise Model Research Articles

Engaging with Second Chances: How Familiarity, Stigma, and Media Exposure Shape Public Attitudes towards Ex-Prisoner-Focused Social Enterprises

Social enterprises provide an effective method for tackling various social problems, including ex-prisoners in the domains of rehabilitation, reintegration, and the reduction of repeat offenses. While this business model is prevalent in other countries, it remains uncommon in Malaysia. This study aims to uncover the issue from the public perspective. Specifically, the objective of this study is to investigate the effects of familiarity with social enterprise models, stigmatization, and incidental news exposure on public attitudes towards ex-prisoner-focused social enterprise. Underpinned by Mere Exposure Effect Theory, Social Identity Theory, and Media Framing Theory, five hypotheses were developed and tested using partial least squares structural equation modelling on 139 cases. Results showed that familiarity with social enterprise models, stigmatization, and incidental news exposure significantly predict attitudes towards ex-prisoner-focused social enterprise. However, the moderation role of familiarity with social enterprise models was not supported for the relationship between incidental news exposure and attitudes towards ex-prisoner-focused social enterprise, and when it interacts with stigmatization. These findings contribute to the understanding of how media exposure, social stigmatization, and personal familiarity shape public perceptions of social enterprises that focus on ex-prisoner rehabilitation. The study highlights the need for targeted strategies to reduce stigmatization and leverage incidental media exposure to foster more supportive attitudes towards social enterprises that assist ex-prisoners.

Digital Analysis Methods in Business-Processes and Projects in Digital Twins at Investment-Construction Companies

The article analyzes modeling of investment-construction company work from graph models to digital analogues. Such analysis is necessary in order to build economically grounded twin of the investment-construction company. The need to use advanced digital methods of business-analysis in conditions of real time was substantiated. It was demonstrated that elaboration of digital methods of business-analysis in projects and business-processes in investment-construction work is acute and leans against numerous factors. They are as follows: positive overseas experience in projecting and controlling processes; adjustment of this experience to specific features of project and business-process organization in Russia; use of digital imitation models of investment-construction enterprise in conditions of real time; introduction of digital methods of strategic and operative business-analysis of projects and business-processes into imitation model and digital twins at investment-construction enterprises; use of promising digital technologies in digital methods of business-analysis in projects and business-processes, for instance, analysis of big data, artificial neuron nets, cloud technologies, internet of things, virtual reality, augmented reality, technologies of register distribution, automation and robotics of business-processes, etc. Typical features of digital analysis built in digital twin for effective decision-making in management were identified. The article provided results of modeling visualization and digital analysis of business-processes.

Selenium Disulfide from Sustainable Resources: An Example of “Redneck” Chemistry with a Pinch of Salt

Selenium disulfide (often referred to as SeS2) encompasses a family of mixed selenium-sulfide eight-membered rings, traditionally used as an anti-dandruff agent in shampoos. SeS2 can be produced by reacting hydrogen sulfide (H2S) with selenite (SeO32−) under acidic conditions. This chemistry is also possible with natural spring waters that are rich in H2S, thus providing an avenue for the more sustainable, green production of high-quality SeS2 particles from an abundant natural source. The orange material obtained this way consists of small globules with a diameter in the range of 1.1 to 1.2 µm composed of various SexS8−x chalcogen rings. It shows the usual composition and characteristics of a Se-S interchalcogen compound in EDX and Raman spectroscopy. Since the mineral water from Bad Nenndorf is also rich in salts, the leftover brine has been evaporated to yield a selenium-enriched salt mixture similar to table salt. As the water from Bad Nenndorf—in comparison to other bodies of water around the world—is still rather modest in terms of its H2S content, especially when compared with volcanic waters, this approach may be refined further to become economically and ecologically viable, especially as a regional business model for small and medium-sized enterprises.

Paraphrase the Obstacles to the Recycling of Construction and Demolition Waste: A Perspective of the Evolutionary Game of Three Stakeholders

With China’s urbanization, the construction industry has generated massive construction and demolition waste (C&DW), leading to severe environmental pollution and social problems. However, the currently proposed policies have not promoted the sustainable development of the C&DW recycling market. This paper constructs a tripartite evolutionary game model of construction production enterprises, construction enterprises, and the government. The decision-making evolution laws of relevant stakeholders at different stages of the development of the C&DW recycling market are identified through equilibrium stability analysis. The results show that in the initial stage, the government can help encourage enterprises to participate in C&DW recycling through appropriate subsidy and penalty measures. As the recycling market matures, enterprises achieve profits through market mechanisms and the proportion of enterprises participating in recycling increases. At this time, the government no longer plays a leading role, and the strategy evolves into non-supervision. In addition, the government should design carbon emission reduction policies for carbon quota and trading according to the market status to exert positive effects. Hence, this study provides a theoretical basis for the governments of developing countries to effectively manage C&DW market development.

The Impact of Business Model Sustainability on the Financial Performance of Ukraine’s Leading Companies Before the Military Conflict

With today’s global challenges such as geopolitical instability, environmental threats and social crises, corporate sustainability and transparency are becoming key elements of efficient governance. This study aims to examine the impact of the sustainability of business models of the largest Ukrainian enterprises on their financial results in the period before the military conflict started. This study tested the hypothesis that in the Ukrainian context, corporate sustainability and transparency have an insignificant positive impact on the efficiency of the implementation of business models of enterprises. The author’s methodology made it possible to assess the sustainability of the business models of 40 enterprises by calculating an integral indicator for 21 areas with significant ESG issues and classify enterprises according to the levels of sustainability and efficiency of their business models using a specially developed scale. Correlation and regression analyses were used to quantify the degree of influence of corporate sustainability and transparency. The results of the analyses demonstrated a weak positive correlation between financial results and sustainability and transparency indicators, which emphasizes the need to develop a unified methodology to assess corporate sustainability for Ukrainian enterprises that can be adapted for countries with transition economies and similar political landscapes. This study makes a theoretical contribution by proposing an approach to assessing corporate sustainability based on integral indicators. This article is of interest to stakeholders involved in sustainable development, outlines directions for further research to support socially responsible business practices of enterprises, and emphasizes the need for further empirical research on factors affecting corporate sustainability and transparency.

Dual effects of automation on economy and environment: Evidence from A-share listed enterprises in China

The “technology dividend” brought by the development of artificial intelligence (AI) can optimize the allocation of resource within enterprises, provide a new model for enterprises to achieve sustainable development, and create a new power source for enterprise economic development and pollution reduction. Although the advantages and disadvantages of AI have been widely discussed, few studies have explored whether it can play the dual effects on economy and environment from the perspective of enterprises. Considering the difficulty of measuring AI indicators, this paper attempts to explore the impact of automation, as a key underlying technology of AI, on enterprise economic performance and environmental performance, and rationally infer the dual impact of AI. We use panel data from China's Shanghai and Shenzhen A-share listed companies from 2009 to 2021 to reveal the dual effects of automation. The benchmark regression results show that automation can boost both enterprise economic and environmental performance. The result is still credible after a series of robustness tests and causal identification. Moreover, we find that the economic performance is stronger in non-heavily polluted enterprises. The dual effects of automation are more significant in areas with low environmental regulations and areas with high levels of industrial digitalization and digital industrialization. The mechanism analysis results show that automation can play the dual effects through the cost-effectiveness channel, the capital-labor substitution channel, and the energy-saving and emission reduction channel.

Harnessing AI & SaaS-Based Enterprise App Development for Business Growth

Purpose: This paper aims to explore the transformative impact of artificial intelligence (AI) on enterprise models within the context of Software as a Service (SaaS), highlighting the necessity for organisations to adopt AI-driven strategies to sustain their competitive edge. Methodology: The study utilises a comprehensive framework that outlines five critical steps for implementing AI in business settings, including executing pilot projects, assembling in-house AI teams, providing extensive training, developing holistic AI strategies, and ensuring effective communication. Findings: The integration of AI within SaaS not only enhances operational efficiency and process optimisation but also allows for real-time customisation and improved user engagement, thus fostering customer loyalty and driving sustainable growth. Unique contribution to theory, practice and policy: The paper contributes to the understanding of AI and SaaS as essential components in the evolution of enterprise applications, proposing that organisations adopt a collaborative approach to harness their combined potential, ultimately informing policymakers about the strategic importance of AI in shaping future business landscapes.

Research on the Impact Mechanism of Knowledge Spillover on the Growth of Small and Medium-sized Sports Enterprises

Background and Aim: In recent years, knowledge spillovers and enterprise innovation have become key drivers of the rapid development of small and medium-sized sports enterprises (SMEs) in China. This study conducted a questionnaire survey of 405 employees from SMEs using the snowball sampling method. The study focuses on how knowledge spillovers affect the development of SMEs in the sports industry and verifies the intrinsic links between knowledge spillovers, product innovation, model innovation, learning organizations, and firm growth variables. Materials and Methods: The study utilized SPSS 26.0 and AMOS 26.0 software for EFA and CFA. Additionally, the research hypotheses were tested using structural equation modeling with AMOS 26.0 software. Results: 1) Knowledge spillover, product innovation, model innovation, and learning organization all significantly enhance firm growth. 2)Learning organization, product innovation, and model innovation in SME sports enterprises mediate the effect of knowledge spillover on firm growth. 3)Learning organizations and product innovation, learning organizations, and model innovation in SMEs' sports enterprises jointly mediate the impact of knowledge spillovers on firm growth. 4)The study's results provide an in-depth analysis of how knowledge spillovers affect the development of SMEs through direct and indirect paths. This enriches the theory of sports enterprise development and helps promote enterprise growth. Conclusion: 1) Knowledge spillovers from SMEs directly boost enterprise growth. 2)Knowledge spillovers from SMEs can also indirectly enhance enterprise growth through factors like product innovation, model innovation, and learning organization. 3)Knowledge spillovers can further indirectly facilitate enterprise growth by influencing factors like enterprise learning organization, product innovation, and model innovation.

The Organisational Characteristics That Enable Successful Employment Transition for People With Intellectual Disabilities.

Social enterprises have the potential to address some of the current barriers that people with an intellectual disability experience in transitioning to open employment opportunities. However, it is unknown in detail how social enterprises are able to facilitate this transition, which limits ability to scale-up these organisational characteristics and strategies. Twenty-seven in-depth interviews were conducted with staff, supported employees and partner organisations of a social enterprise to understand the organisational characteristics that enables successful transitions. The organisational characteristics of the social enterprise that enabled transitions included offering a variety of roles and workplace environments for people with intellectual disabilities. Organisational characteristics also included having dedicated staff roles to support people with intellectual disabilities to develop skills to transition and for these support staff to network with open employers to facilitate the transition. The results provide an adaptable model for other social enterprises in how to structure their organisation to facilitate transition to open employment opportunities.

A STUDY OF JAMBI BATIK ARTISANS IN INNOVATION AND STRATEGIC DECISION-MAKING TO INFLUENCE THE DEVELOPMENT AND RESILIENCE OF THE JAMBI BATIK INDUSTRY

This study investigates Jambi batik artisans' resilience and innovative strategies in overcoming economic challenges and disruption in the textile industry. Using a qualitative approach with data analysis based on Miles and Huberman’s interactive model, the research delves into how these artisans creatively adapt to changing market demands by incorporating alternative materials, eco-friendly dyes, and distinctive local designs to enhance product appeal. The study also explores their marketing strategies, which leverage digital platforms and direct sales at exhibitions, significantly expanding their consumer reach and maintaining competitiveness. This combination of traditional artistry and modern tactics supports the preservation of Jambi's cultural heritage. It aligns with Sustainable Development Goals (SDGs) related to responsible production, decent work, and gender equality. The findings reveal that Jambi batik artisans successfully merge traditional motifs with contemporary styles, allowing them to preserve local identity while meeting evolving consumer preferences. Notably, this research highlights how artisans overcome resource limitations and market fluctuations by engaging in strategic collaborations, fostering community support, and adopting digital innovations to broaden their reach. This study's novelty lies in its focus on the dual role of cultural preservation and sustainable economic practices, offering insights into how traditional industries can thrive in modern contexts. The outcomes emphasize that with strategic innovation, the Jambi batik industry has substantial potential for sustainable growth, presenting a model for other cultural enterprises seeking resilience in the face of globalization and economic challenges.

Lessons from a participatory community cricket breeding project in Vientiane Province, Lao PDR

Abstract Edible insect production is a key tool for sustainable development and global food security, but its social dimensions and the organisation of farming operations remain understudied. Crickets are among the most recognised edible insects for farming and offer appealing development opportunities for Lao PDR – a Southeast Asian country whose cricket farming sector has lagged behind neighbouring Thailand and which continues to experience challenging economic and food security conditions. Concerning these sustainable development and research priorities, this paper presents the case study analysis of a service evaluation of Cricket Lao Farm, which implemented a project on the distributed (off-site) production of crickets among local community members. Data collection took place from September to November 2023 and included a survey with 30 participants complemented by qualitative information from discussion groups, home visits, informal conversations, and project documentation. While small-scale farming operations ended within a year due to widespread cricket mortality of unknown cause, community-based cricket farming was in principle profitable and demonstrated strong development potential and local relevance. Furthermore, most of the community-based farmers were motivated and interested in resuming operations in the future. The analysis of this case offers important lessons for further development of the cricket farming sector in Lao PDR, highlighting the challenges of the Western social enterprise model in a development setting, the need to actively manage participation, and to develop an understanding of local community structures before commencing operations. To ensure future success, projects should include robust monitoring and evaluation plans; regular and bidirectional communication between community members and the central farm; co-development of breeding strategies, response plans, and good animal husbandry practices; and community engagement activities involving local schools.

The Impact of Digital Finance on the Efficiency of Urban Green Economy

Digital finance is a new financing model for small and medium-sized enterprises and individuals. In recent years, with the rapid development of big data, cloud service technology, and artificial intelligence (AI) technology, it has to some extent promoted the efficient development of urban green economy. From the perspective of applying digital finance to urban enterprises and individual consumers, this study explores the important role of digital finance in enterprise investment and financing services, industrial structure upgrading, technological innovation, and the promotion of personal credit, consumption patterns, job employment, and environmental participation activities. Based on this, the impact of digital finance on the operation and efficiency improvement of urban green economy is obtained, and the problems of inadequate digital transformation and low coordination level in different industries of the city's economy are solved.

Small and Medium-Sized Enterprises Digital Management Facing Difficulties and Solutions

The advent of the digital era has provided strong technical support for the high-quality development of the social economy. The integration of the social economy with Internet technology has given rise to new industries. However, the traditional development model of small and medium-sized enterprises (SMEs) is increasingly unable to meet the demands of economic growth, and digital management has gradually become a key approach for these enterprises to achieve their development goals. Currently, SMEs face challenges such as talent shortages, insufficient funds, and a lack of awareness regarding transformation. This paper will analyze the difficulties SMEs encounter in implementing digital management and explore potential development paths for their digital transformation.

The Problems and Solutions of Enterprise Financial Management in the Perspective of Digital Economy

From the perspective of the digital economy, enterprise financial management is facing unprecedented challenges and opportunities. Traditional financial management models are no longer suited to current development needs. Fine-tuning financial management is essential to support the modernization of enterprises, guard against operational risks, and promote coordination across the entire value chain for greater economic efficiency. With the help of digital technology, data-driven, highly interconnected, and intelligent decision-making processes are becoming more prominent, profoundly transforming the operational and financial management models of enterprises. This enables financial management to keep pace with modern developments. In light of this, the paper explores the connotations and mechanisms of the digital economy and enterprise financial management, clarifies relevant conceptual characteristics, and identifies problems in financial management under the digital economy. It also offers strategies for optimization and problem-solving, with the aim of providing valuable insights for educators and practitioners.

Capitalization and the production of value at the nexus of academia and industry: the case of a microbiome startup

This article analyses valuation practices, focusing on the way health data constitute different kinds of assets for different actors within an industry-academia partnership in the field of microbiome research. It examines emerging bioeconomic dynamics within data-driven computational biology, contributing to debates about the sociopolitical implications of multiple and synergic valuation practices in personalized medicine for future public health. Through the ethnographic exploration of a personalized nutrition startup active in Europe and the US and a metagenomics research lab based in Italy, we explore the dynamics around the intersection of knowledge production with scientific, economic, and health value. In contrast to traditional commodity and rent-based structures, we expose a hybrid model of bioeconomic enterprise that challenges rigid distinctions between commodification and asset-based rentiership, highlighting synergic business models where multiple registers of the value of worth are played out, translated, and combined. The study unveils a nuanced relationship between data, research, and economic drivers, where scientists perceive they can pursue research independently from market pressures. Beyond these perceptions and narratives, we highlight the economic dynamics that suture basic research and industry in their promotion of health governance that causes social justice concerns by restricting access to high income and hegemonic types of clients/patients. We clarify that epistemic aspects cannot be disentangled from sociopolitical aspects, especially in the digital age, and that where governments implement and enhance digital health solutions, they also need to plan for consistent social (re)adjustments.

Development and Application of an Employee Moral Quotient (MQ) Evaluation Index System for Chinese Petroleum Enterprises

Recognizing the critical role of oil and gas resources as strategic assets and acknowledging the increasing emphasis on green development and social responsibility driven by international energy agreements and the “dual carbon” strategy, this study addresses the urgent need for a robust employee evaluation framework within China’s petroleum sector. While existing systems often prioritize competence-based indicators, they frequently overlook the crucial aspect of employee Moral Quotient (MQ). This research focuses on developing and validating a holistic, scientifically grounded, multi-dimensional, and dynamic MQ evaluation index system tailored specifically for Chinese petroleum enterprises. The study employed a mixed-methods approach, integrating a comprehensive literature review, semi-structured interviews with industry experts, and robust quantitative techniques, including the Analytic Hierarchy Process (AHP) and the entropy weight method. A two-round Delphi study, involving 18 experts from six provinces across China, ensured broad representation and facilitated the construction of the evaluation index system and the determination of indicator weights. The Delphi process achieved a high degree of expert consensus, evidenced by a 100% questionnaire response rate in both rounds, expert authority coefficients of 0.851 and 0.879, respectively, and Kendall’s coefficient of concordance of 0.243 and 0.247 (p < 0.01), respectively, demonstrating strong reliability and scientific validity. The resulting MQ evaluation index system comprises eight first-level indicators and thirty-three s-level indicators, encompassing key dimensions of employee morality relevant to the petroleum industry. This comprehensive system provides a robust and objective tool for employee selection, training, performance evaluation, and career development within Chinese petroleum enterprises, supporting informed decision-making in human resource management and fostering a culture of ethical conduct and sustainable development. Furthermore, the developed framework offers valuable insights and serves as a potential model for petroleum enterprises and other resource-intensive industries globally seeking to integrate MQ assessment into their human capital management strategies.

A study of electricity sales offer strategies applicable to the participation of multi-energy generators in short- and medium-term markets

Due to the increasing proportion of renewable energy, a multi-layered and multi-timescale energy market has emerged in many countries such as China. In the meanwhile, power generation companies must develop more intelligent and dynamic offer strategies to adapt to today's intricate energy trading. Because of the difficulty in describing the dynamic trading environment caused by the uncertainty of renewable energy, previous studies have not fully explored the offer strategy especially in both short-term and medium-term electricity markets. In response to this challenge, this research introduces a novel biding strategy framework leveraging a Asynchronous Advantage Actor-Critic (A3C) algorithm, which can effectively address the decision making in dynamic and uncertain energy markets. The framework focuses on intra-monthly transaction clearing mechanisms with the aim of optimally enhancing earnings. The research formulates an offer model both for thermal and renewable power generation enterprises, which is applicable to medium-term monthly and intra-monthly trading. The study then validates this framework through three distinct analyses: the returns of various bid methods under standard scenarios, the offer strategies return of power generation companies with diverse cost profiles, and the impact of varying renewable energy proportions. The multi-angle simulations confirm that the model presented in this paper offers a scientific basis for the development of offer strategies for power generation companies and enable power generating firms to effectively adopt to the current power market.

Four-party evolutionary game analysis of enterprise environmental behavior.

With the implementation of the "Rural Revitalization Strategy" in China, it is common for enterprises to go to the countryside to develop business. However, enterprises often neglect the local environmental protection in rural areas while developing the economy to pursue profits. As the end of the national administrative system and the villagers' autonomous organization, the village committee needs to participate in monitoring enterprises' environmental behavior. With this in mind, this paper builds a game model of enterprises, grass-roots governments, farmers, and village committees and analyzes the impact of village committees, grass-roots governments, and farmers on enterprise environmental behavior. The conclusions are as follows: (i) it is difficult for the village committee to promote the positive environmental behavior of enterprises, which needs the supervision of the grass-roots government; (ii) Improving the coordination ability of village committees is conducive to reducing the burden of government supervision; (iii) Farmers' awareness of environmental protection can affect the environmental behavior of enterprises through the rights protection mechanism and reputation mechanism.

Research of methods of modeling of mass service enterprise

Objective. The purpose of the study is to use artificial intelligence tools to optimize and model the automated organization of work at a mass service enterprise. Method. The research is based on the use of a Petri net as a modeling tool, as well as mathematical hardware that makes it possible to implement simulation models of subsystems and conduct additional research on GPSS artificial intelligence models. Result. To process the results of the modeling process, the Petri net modeling method was used and a network activity model graph was developed. The modeling process used with the Petri Net application allows such functions to be described more clearly. The principles of modeling systems based on the GPSS language and Petri nets are considered. Conclusion. It is advisable to use the language devices GPSS and SP, which provide information support for the activities of a mass service enterprise, modeling the structural organization and information flows.

Decision-making Optimization of Cross-border E-commerce Supply Chain based on Genetic Simulated Annealing Algorithm

This paper mainly studies the collaborative operation of a cross-border e-commerce supply chain composed of manufacturers, e-commerce platforms and foreign warehouses. Firstly, the decision models of transnational e-commerce enterprises based on decentralized, centralized, and hybrid modes are established. The sensitivity of the contract and each determining variable is analyzed using the simulation method. Through the joint contract of ”revenue sharing + volume discount,” the production efficiency of the enterprise and the logistics service of the international warehouse can be improved. The genetic algorithm combined with simulated annealing was adopted. Finally, a concrete example is given to verify the feasibility of the proposed method. The results show that the member departments can work together better under centralized decision-making compared to the decentralized management mode. Manufacturers to increase production capacity and improve the level of logistics services in overseas warehouses will help improve the profitability of cross-border e-commerce.