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Sustainability
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Advances in Business Model Innovation and Corporate Sustainability
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Advances in Business Model Innovation and Corporate Sustainability

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 5375

Special Issue Editors

Prof. Dr. Cheng-Wen Lee

E-Mail Website
Guest Editor
Department of International Business, Chung Yuan Christian University, Taoyuan 320314, Taiwan
Interests: environmental management; global logistics; international marketing; organizational strategy
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jonqlan Lin

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Chien Hsin of Science and Technology, Taoyuan 320, Taiwan
Interests: intelligent control; smart machinery; mechatronics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Business model innovation has seen a recent surge in academic research and business practice. Innovation of business models is recognized as a fundamental approach to realize continuous challenges for corporate sustainability. Most of studies examine bodies of literature on business model innovation, sustainability innovation, network theory, stakeholder theory, and product–service systems. Therefore, we hereby expect to explore the development of a unified theoretical perspective for understanding business model innovation that leads to better organizational, economic, environmental, and social performance, and furthermore, to reveal what, who, where, when, and how the advance in business model innovation can improve the vitality and creativity of enterprises. 

The way business is often conducted within industrial value chains is being revolutionized through the use of Internet of Things (IoT) technologies, intensive data exchange, predictive analytics, and so on. However, the advance in business model innovation is not just limited to technological application (e.g., digitalization), but also needs to recognize the importance of making the transition to advanced business service. Integrating innovative business models into organizational strategy system can help enterprises to produce a competitive advantage. Regarding corporate sustainability and long-term prosperity, the author(s) can provide a broad, dynamic approach to business models that are compatible with strategic management involved in analyzing, formulating, and implementing advanced innovations with economic competitiveness, social responsibility, and that are in balance with the changing nature of business.

Therefore, the main purpose of this Special Issue is to highlight the mutual effect of business model innovation and corporate sustainability from various perspectives. This Special Issue seeks a wide range of contributions that assess how current business circumstances influence and shape the sustainability of organizations. The objective of this Special Issue is to publish high-quality papers that contribute to promoting our understanding of the diversity of changes and advances in business model , and it will innovate management and environmental practices. The Special Issue is open to both conceptual studies and empirical analyses based on qualitative and quantitative methodological approaches.

Prof. Dr. Cheng-Wen Lee
Prof. Dr. Jonqlan Lin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainability
  • business model innovation
  • sustainable strategic management
  • technological application
  • new pattern of business model
  • consumers and suppliers
  • efficiency and effectiveness
  • environmental practice
  • social impact
  • innovative supply chain

Published Papers (4 papers)

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Research

31 pages, 682 KiB  
Article
Best Business Models for the Fast-Moving Consumer Goods Sector: Patterns for Innovation
by Sebastian Schroedel
Sustainability 2024, 16(9), 3787; https://doi.org/10.3390/su16093787 - 30 Apr 2024
Viewed by 279
Abstract
Mankind’s consumption exceeds our natural resources, so among other things, the development of new business models at the company level is needed. This paper aims to generate systematic business model innovations in the field of fast-moving consumer goods using business model patterns to [...] Read more.
Mankind’s consumption exceeds our natural resources, so among other things, the development of new business models at the company level is needed. This paper aims to generate systematic business model innovations in the field of fast-moving consumer goods using business model patterns to foster sustainability. Based on a literature search, the most relevant patterns for the industry are identified as part of a multi-stage selection process that is based on the value generated by the patterns. Expert surveys are the central instrument for data collection. Here, the connection of the patterns to the strategy is central. The result is a list of relevant patterns, which includes patterns from completely external industries. This is the first evaluation of its kind, which shows that patterns focusing only on the circular economy are not enough to succeed and, therefore, break the scientific paradigm. Full article
(This article belongs to the Special Issue Advances in Business Model Innovation and Corporate Sustainability)
21 pages, 623 KiB  
Article
How Does Digital Transformation Improve Corporate Carbon Emission Reduction Performance? An Empirical Study on Data from Listed Companies in China
by Li Guo and Min Tang
Sustainability 2024, 16(8), 3499; https://doi.org/10.3390/su16083499 - 22 Apr 2024
Viewed by 490
Abstract
Against the backdrop of global carbon reduction, China, as the country with the highest carbon emissions, must implement carbon reduction actions more efficiently to promote the sustainable development of the global environment. Balancing their economic and environmental benefits has become an important issue [...] Read more.
Against the backdrop of global carbon reduction, China, as the country with the highest carbon emissions, must implement carbon reduction actions more efficiently to promote the sustainable development of the global environment. Balancing their economic and environmental benefits has become an important issue for corporations, as they are crucial entities in the final implementation of carbon reduction efforts. This study selects the data of listed companies in China from 2012 to 2022 and develops a two-way fixed-effects model to verify the effect of digital transformation on corporate carbon reduction performance. The study found that digital transformation can positively promote corporate carbon reduction performance and shows heterogeneity under different conditions. Green technology innovation plays a mediating role in the relationship between digital transformation and corporate carbon reduction performance. Furthermore, environmental subsidies play a positive moderating role in the relationship between digital transformation and green technology innovation, constituting a moderated mediation model. Meanwhile, tax reduction incentives play a positive moderating role in the relationship between digital transformation and promoting corporate carbon reduction performance. This study provides empirical suggestions for balancing economic and environmental benefits for 5323 Chinese listed companies and global corporations from both internal and external perspectives, emphasizing the potential for digital transformation to drive both commercial success and environmental stewardship in the pursuit of sustainable development goals. Full article
(This article belongs to the Special Issue Advances in Business Model Innovation and Corporate Sustainability)
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18 pages, 2002 KiB  
Article
Sustaining Organizational Outcomes in Manufacturing Firms: The Role of HRM and Occupational Health and Safety
by Ali Ateeq, Abd Al-Aziz Al-refaei, Mohammed Alzoraiki, Marwan Milhem, Ali Nasser Al-Tahitah and Abdulhadi Ibrahim
Sustainability 2024, 16(3), 1035; https://doi.org/10.3390/su16031035 - 25 Jan 2024
Cited by 1 | Viewed by 1214
Abstract
While there is burgeoning interest in the influence of human resource management (HRM) on sustainability organizational outcomes (SOO), the intricate interplay with Occupational Health and Safety (OHS) has not yet been explored, particularly in manufacturing firms’ contexts. Therefore, this study aims to probe [...] Read more.
While there is burgeoning interest in the influence of human resource management (HRM) on sustainability organizational outcomes (SOO), the intricate interplay with Occupational Health and Safety (OHS) has not yet been explored, particularly in manufacturing firms’ contexts. Therefore, this study aims to probe the symbiotic relationship between HRM practices, OHS, and SOO, spotlighting manufacturing firms. Data collection was conducted by utilizing a cross-sectional survey, convenience sampling technique, and a web-based form among the 256 respondents from an industrial company (Balexco) in Bahrain. Structural Equation Modeling (SEM) by Smart-PLS was used to analyze the collected data. Our analysis highlighted a significant positive relationship between HRM, SOO, and OHS. Moreover, this study highlighted the dual impact of direct and indirect HRM on SOO, mediated by OHS. These multi-layered insights reinforce the assumption that a comprehensive approach to HRM, aligning performance aspirations with employee well-being, is instrumental in improving SOO. This study is a novel contribution to the literature because, by uncovering the intricate interplay of HRM, OHS, and SOO, practical implications and limitations were provided. Full article
(This article belongs to the Special Issue Advances in Business Model Innovation and Corporate Sustainability)
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19 pages, 2106 KiB  
Article
Empirical Study of ESG Score Prediction through Machine Learning—A Case of Non-Financial Companies in Taiwan
by Hsio-Yi Lin and Bin-Wei Hsu
Sustainability 2023, 15(19), 14106; https://doi.org/10.3390/su151914106 - 23 Sep 2023
Viewed by 2891
Abstract
In recent years, ESG (Environmental, Social, and Governance) has become a critical indicator for evaluating sustainable companies. However, the actual logic used for ESG score calculation remains exclusive to rating agencies. Therefore, with the advancement of AI, using machine learning to establish a [...] Read more.
In recent years, ESG (Environmental, Social, and Governance) has become a critical indicator for evaluating sustainable companies. However, the actual logic used for ESG score calculation remains exclusive to rating agencies. Therefore, with the advancement of AI, using machine learning to establish a reliable ESG score prediction model is a topic worth exploring. This study aims to build ESG score prediction models for the non-financial industry in Taiwan using random forest (RF), Extreme Learning Machines (ELM), support vector machine (SVM), and eXtreme Gradient Boosting (XGBoost) and investigates whether the COVID-19 pandemic has affected the accuracy of these models. The dependent variable is the Taiwan ESG Sustainable Development Index, while the independent variables are 27 financial metrics and corporate governance indicators with three parts: pre-pandemic, pandemic, and the entire period (2018–2021). RMSE, MAE, MAPE, and r2 are conducted to evaluate these models. The results demonstrate the four supervised models perform well during all three periods. ELM, XGBoost, and SVM exhibit excellent performance, while RF demonstrates good accuracy but relatively lower than the others. XGBoost’s r2 shows inconsistency with RMSE, MAPE, and MAE. This study concludes the predictive performance of RF and XGBoost is inferior to that of other models. Full article
(This article belongs to the Special Issue Advances in Business Model Innovation and Corporate Sustainability)
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