Search Results (228)

The effective design of logistics platform business models is an important means for platform-type logistics enterprises to gain a competitive advantage. This study employs RRS Logistics as a case study to clarify the dynamic environmental mechanisms of logistics platform business models from the perspective of value co-creation and build a novel structural framework for logistics platform business models with community at their core. The research findings are as follows: First, guided by the idea of “value positioning–value co–creation–value support–value maintenance–value capture”, the conceptual framework of business models is redefined. The key steps in designing logistics platform business models, which can provide guidance and assistance for different logistics platforms, are proposed. Second, the design process for logistics platform business models should be dynamically adjusted in real time according to changes and environmental uncertainty. Third, in the process of transitioning to an ecological platform, logistics platforms’ ecosystem service clusters and ecosystem envelope are key factors in achieving a win–win scenario for all the stakeholders in the community. The case studies show that in logistics platform business model design, methods and key steps based on value co-creation could enhance the core competitiveness of logistics platforms. Full article

In order to cope with the multimodal changes led by the digital era, enterprises urgently need to promote the construction of new-quality productive forces (NQPFs) through digital transformation. NQPFs take digital technology empowerment as the core driving force and emphasize the dynamic matching and synergy between the new-quality elements (digital infrastructure, digital talents, data resources, and diversified ecology) and the new-quality capabilities (digital dynamic capabilities) so as to unleash the innovation potentials of different production modes. Based on resource orchestration theory, this study constructs a “resource-capability-value creation” framework for digital empowerment (D-RCV) and employs fuzzy set qualitative comparative analysis (fsQCA) to examine 205 enterprise samples. Results reveal that enhanced innovation performance stems from digital empowerment at both resource and capability levels, generating three configurational paths: collaborative symbiosis, resource optimization, and data-driven approaches. These paths emerge through the interaction of resources and capabilities under different conditions. This study contributes by proposing a digital empowerment framework and exploring multiple pathway choices for new-quality productivity development. The findings provide theoretical insights for enterprise innovation research and practical guidance for innovation management strategies. Full article

In the context of accelerating digital transformation and growing sustainability imperatives, entrepreneurial ecosystems increasingly rely on open innovation and strategic collaboration to foster resilient, knowledge-driven growth. This study aims to examine how leadership behaviors and strategic alliances interact as enablers of sustainable innovation across macro (systemic), meso (organizational), and micro (individual) levels. To achieve this, this study employs a literature review, supported by bibliometric analysis, as its core methodological approach. Drawing on 86 influential publications from 1992 to 2024, two major thematic streams emerge: leadership dynamics in entrepreneurial settings and the formation and governance of strategic alliances as vehicles for innovation. The findings underscore the pivotal role of transformational and ethical leadership in cultivating trust-based inter-organizational relationships, facilitating digital knowledge sharing, and catalyzing sustainable value creation. Simultaneously, strategic alliances enhance organizational agility and innovation capacity through co-creation mechanisms, digital platforms, and crowdsourcing, especially in small and medium-sized enterprises (SMEs). This paper highlights a mutually reinforcing relationship: effective leadership strategies empower alliances, while alliance participation enhances leadership capabilities through experiential learning in diverse, digitalized environments. By bridging leadership theory, open innovation practices, and digital transformation, this study offers critical insights for entrepreneurs, managers, and policymakers seeking to drive inclusive and sustainable innovation within interconnected global markets. Therefore, this study provides practical guidance for business leaders aiming to strengthen alliance performance through adaptive leadership and for policymakers seeking to foster innovation ecosystems through supportive regulatory and institutional frameworks. Full article

Enhancing the efficiency of value co-creation among multiple stakeholders in manufacturing quality chains under digital transformation is an urgent management issue that needs to be addressed. Grounded in the resource-based view and dynamic capability perspective, this study employs a dynamic QCA method, using 81 manufacturing enterprises in Beijing from 2020 to 2023 as the research sample, to explore the configurational effects of resource–capability influencing factors on the overall efficiency of quality chain value co-creation, multi-value creation efficiency, and value conversion efficiency over time. The findings reveal that no single factor is necessary for achieving high overall efficiency or two-stage efficiency levels. However, the necessity of digital infrastructure development increases annually, demonstrating a temporal effect. Four distinct pathways drive high-quality chain value co-creation efficiency, which can be categorized as follows: (1) the resource utilization multi-capability driven model; (2) the multi-capability driven model; (3) the government support multi-capability driven model; and (4) the resource utilization capability driven model. The driving effect of multi-factor resource–capability combinations on enhancing value co-creation efficiency in certain medical manufacturing, chemical raw materials, and chemical product manufacturing sectors is limited. Full article

This study introduces a structured approach for assessing value creation in supplier–buyer relationships by evaluating key value-creation indicators. Recognising strategic collaboration in B2B, the research focuses on identifying key indicators and determining their relevance based on Slovak manufacturing enterprises. Empirical data were collected via questionnaires distributed to manufacturing firms across Slovakia. Based on these data, a decision matrix was developed to quantify the value provided to suppliers and buyers. Results reveal that suppliers prioritise financial reliability and adherence to business terms, while buyers place higher value on service-related attributes such as maintenance and product quality updates. The proposed matrix serves as a practical tool for enterprises seeking to evaluate and enhance their stakeholder relationships. By offering quantifiable insights, the study supports more effective decision-making in supply chain and relationship management. Full article

This study presents a process narrative of how cooperatives emerge during periods of economic disruption. Cooperative organizations are pluralistic and embedded in existing local economic contexts. Yet, the role that such organizations play can be pronounced when economic disruption occurs in the absence of well-established institutions to support cooperative ideology. This study uses the Structuration and Panarchy frameworks to examine the dynamics of Amul’s emergence, where individual producers organized against the existing structure of production in a period characterized by reorganization at the broader macro level. The study complements insights from economic and social perspectives while presenting a view of how individuals organize economically in the context of disruption. The narrative broadens the view of when collective action becomes possible and what explains sustained socio-economic value creation from such enterprises. Full article

The advancement of sustainable economic development has become a strategic imperative for enterprises aiming to combine financial development with environmental and social responsibility. In this regard, strategic enterprise management (SEM) has a critical role in incorporating the aspects of sustainability into decision making. The present paper suggests a multicriteria decision-making framework that utilizes fuzzy TOPSIS in assessing and ranking sustainability integration aspects in organizations. By considering the intrinsic vagueness of sustainability analysis, the fuzzy TOPSIS model enables the systematic analysis of environmental, social, and governance (ESG) factors by companies for ensuring their alignment to corporate strategic goals. A case study of a major international airport in Greece demonstrates how the proposed methodology assists strategic choice making, balancing economic viability and sustainable value creation. The results show primary trade-offs among human capital investment, environmental footprint reduction, and stakeholder communication, demonstrating how companies can enhance long-term resilience and competitiveness. This research adds to the existing literature by giving an integrated strategic enterprise management framework with the use of decision support instruments to foster sustainability-oriented corporate governance and strategic efficacy. The suggested model is flexible and can be applied in any industry, hence being a benchmark for sustainable business practice. This paper contributes to the literature by integrating fuzzy TOPSIS with balanced scorecard in the context of airport strategic sustainability management, offering both methodological advancement and empirical insights for transport and supply chain enterprises. Full article

The United Kingdom has enacted rules to support green investment, enhancing the financial sustainability of enterprises adopting sustainable practices. These enactments offer financial incentives to enterprises that invest in sustainable initiatives. Companies that do not adopt sustainable practices face increasing operating expenses, a declining market share, and diminished investor trust. This study leveraged the stakeholder theory to examine the impact of sustainable finance on business financial performance. The study focused on 143 non-financial companies listed on the London Stock Exchange, using 17 years of data between 2008 and 2024 obtained from Thomson Reuters Eikon DataStream. The data were analyzed using the two-step Generalized Method of Estimation (GMM) due to endogeneity identified in the data. The study discovered that green financing initiatives, policies for emission reduction, and sustainable product initiatives had a positive and significant impact on business financial performance. The study also revealed that environmental investment initiatives negatively and significantly impacted business financial performance. Investing in green finance and sustainable products enhances financial performance by fostering investor trust and bolstering corporate reputation, fortifying firms. Adhering to international sustainability standards promotes long-term value creation and market alignment. To mitigate financial strain, environmental investments necessitate stringent cost management. An equitable strategy ensures that, by mitigating risks, sustainability measures enhance profitability. By meticulously integrating these projects, companies can achieve environmental and financial benefits while sustaining a competitive advantage in a rapidly evolving corporate landscape. Full article

The construction industry’s small and medium-sized enterprises (SMEs) face significant financial difficulties, exacerbated by disruptions such as COVID-19. Traditional supply chain finance models, relying on core enterprise credit, fail to address the dynamic nature of this sector. This study proposes a novel approach to value co-creation among stakeholders (core enterprises, suppliers, and financial institutions) through an evolutionary game theory framework. A stochastic model was developed to examine the strategic decisions of these parties, considering risk, penalty, and incentive coefficients. The results reveal that higher incentives encourage faster participation, while financial institutions are less sensitive to risk and penalty changes. This study provides new insights into promoting cooperative behavior and enhancing the sustainability of small and medium-sized enterprises (SMEs) in the construction industry through platform-based models. Full article

Industrial Internet Platforms (IIPs) provide critical value for supply chain management. The motivation for value creation and capture by supplier firms increasingly depends on acquiring and processing customer-oriented information, with geographical distance to customers being a key factor in assessing costs and benefits. This study investigates whether firms’ IIP adoption increases or decreases the geographical distance to their customers, utilizing supply chain data and digital transformation metrics from China’s A-share listed firms in the new energy vehicle industry. The study finds that an increased adoption level of IIPs by focal firms leads to a greater average geographical distance to their customers. This conclusion remains valid after addressing endogeneity concerns and performing several robustness checks. Moreover, the effect of IIP adoption on expanding the geographic scope of sales is significant when the focal firm is more specialized in the supply chain, more socially embedded, located in China’s eastern region, or acts as an upstream/downstream complement to complete vehicle manufacturers. No significant difference in the impact of IIP adoption is observed between private and state-owned enterprises. This study combines platform innovation and transaction cost theories, offering new insights and policy implications regarding the spatial impact of digital technology adoption in advanced manufacturing and related service industries. Full article

Facing growing uncertainty and rapid technological change, traditional supply chain management can no longer meet the complexity and performance needs of manufacturing firms. Consequently, supply chain quality management (SCQM) has gained increasing attention as a key approach. At the same time, supply chain quality integration (SCQI), supply chain strategy (SCS), supply chain capability (SCC), and digital intelligence (DI) are recognized for their potential to enhance coordination, adaptability, and value creation across the supply chain. In this study, we investigate the impact of SCQM on firm performance (FP), focusing on the mediating roles of SCQI, SCS, and SCC and the moderating role of DI. Based on survey data from Chinese manufacturing enterprises, structural equation modeling (SEM) is employed to analyze these relationships. The results reveal that SCQM positively affects FP and significantly enhances SCQI, SCS, and SCC. Furthermore, SCQM influences FP indirectly through SCQI and SCS, underscoring the key mediating roles of the latter. DI is also found to significantly moderate the SCQM–FP relationship, strengthening the dynamic interaction among these variables and offering practical insights for improving FP via DI in SCQM frameworks. In this research study, we build a new theoretical model grounded in the Structure–Conduct–Performance (SCP) paradigm, filling a gap in the existing literature. For the first time, we jointly explore the mediating effects of SCQI and SCS and the moderating role of DI in the SCQM–FP link, providing an innovative contribution that enriches both academic understanding and managerial practice. Full article

The study of carbon stocks in organic compounds within terrestrial ecosystems allows us to create a pool of potential carbon farming projects. At present, it is essential to assess the economic viability of natural-based solutions in order to develop strategies to encourage small and medium enterprises (SME) and governments to address climate change through specific measures. This article is devoted to the study of the economic efficiency of afforestation projects. The purpose of this study is to evaluate the economic efficiency of the project and, based on NPV sensitivity analysis, to identify the factors affecting economic efficiency. This will make it possible to formulate directions for stimulating the development of afforestation projects using tools to improve their economic efficiency. Based on data on the number of carbon credits issued, their price, and the costs and other revenue associated with the implementation of the afforestation project, a sensitivity analysis of economic efficiency was conducted, highlighting the most significant factors. Given that different tree species are characterized by variable seedling values, planting costs, and sequestration potentials, an afforestation project with the most carbon efficient tree species was selected as a pilot project. Black alder exhibits the most optimal proportion between the volume of carbon units released and the cost of planting trees. A sensitivity analysis of the project’s net present value was conducted in order to ascertain the factors that have the most significant impact on the project’s economic efficiency. These include the discount rate based on the cost of capital and the cost of tree planting. As a result, this article makes recommendations for improving the economic efficiency of afforestation projects for SME. The government’s role in enhancing the economic efficiency of such initiatives entails reducing the cost of capital through a reduction in the key rate or the provision of subsidies for the interest rate on bank credits. An alternative approach involves the granting of subsidies for the cost of tree planting, since the effects can be seen as a series of public goods, such as the creation of recreational areas and increased biodiversity of the ecosystem. Full article

This review synthesizes current knowledge on the transformative impacts of artificial intelligence (AI)—computational systems capable of performing tasks requiring human-like reasoning—on business innovation. It addresses the potential of AI to reshape strategies, operations, and value creation across various industries. Key themes include AI-driven business model innovation, human–AI collaboration, ethical governance, operational efficiency, customer experience personalization, organizational capability development, and adoption disparities. AI enables scalable product development, personalized service delivery, and data-driven strategic decisions. Successful implementations hinge on overcoming technical, cultural, and ethical barriers, with ethical AI adoption enhancing consumer trust and competitiveness, positioning responsible innovation as a strategic imperative. For practitioners, this review offers evidence-based frameworks for aligning AI with business objectives. For academics, it identifies research frontiers, including longitudinal impacts, context-specific roadmaps for small- and medium-sized enterprises, and sustainable innovation pathways. This review conceptualizes AI as a driver of systemic organizational transformation, requiring continuous learning, ethical foresight, and strategic ability for competitive advantage. Full article

Wuyi Mountain in China is listed on the World Natural and Cultural Heritage List. With the vigorous development of urban cultural tourism, the sustainable development of heritage sites has become the focus of academic and industry circles, among which the rational use and scientific planning of natural resources have become increasingly prominent. In this context, in-depth research on resource development and protection strategies in the Wuyishan area has important practical significance and theoretical value. Therefore, this paper presents a case study of the tourist tea garden landscape design practice at the Wuyistar Chinese Tea Garden, located in Wuyishan City. This paper underscores the significance of incorporating the site’s existing natural environment resources, particularly its plant resources, into the tea garden landscape design, while adhering to principles within the framework of world heritage. The research method includes extensive field surveys combined with GIS analysis and biodiversity surveys, covering the topography and slope of the tea plantation, current natural resources, statistics on the number of tourists after completion, and the related benefits of local enterprises. These planning concepts are realized through a series of infrastructure measures, which are divided into four angles: restoring mountains and rivers, rereading cultural context, sorting out style and appearance, and improving functions. The design practice is carried out in different areas. Simultaneously, the creation of a distinctive tourist destination enables tourists to fully engage with nature and tea culture, while simultaneously fostering the growth of cultural tourism in world heritage sites. This study proposes a planning practice case, which provides a framework and ideas for designing tea gardens. From the aspects of resource protection and utilization, cultural inheritance and display, and tourism service improvement, it provides a model and method that can be used as a reference for the landscape design and planning of similar tea gardens, which will help promote the healthy development of the Chinese tea culture tourism industry. It also provides useful practical experience for the protection and development of world heritage sites. Full article

The extraction of minerals continues to face rising costs, but advancements in engineering and technology help reduce these costs, making efficiency improvement a critical goal for mining enterprises. The integration of additional technologies is one approach to achieving increased efficiency, though it presents challenges in accounting for the parameters of these technologies and determining their influencing factors. This paper proposes a methodical approach to developing performance indicators for mining enterprises under such conditions. Based on previous research, the mining enterprise is divided into subsystems, allowing for detailed analysis and the creation of indicators that represent the overall operations. Scientific studies on the definition and application of indicators in production enterprises are examined and adapted to mining enterprises, where the synthesis of multiple technologies is feasible. The paper introduces a methodology for determining integral performance indicators, which is tested through a case study using the “Heroiv Kosmosu” mine, applying both traditional longwall coal mining and coal seam well gasification technologies. This selection of technologies facilitates a detailed description of the necessary equipment, extraction methods, and organizational measures for safe operations. It also offers insights into the potential for scaling the analysis of multiple technologies operating simultaneously. The integration of a consistency coefficient in the model allows for more accurate final values of the indicators, reflecting their qualitative homogeneity. Full article