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Management and Innovation for Environmental Sustainability

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 39991

Special Issue Editors


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Guest Editor
Department of Law, University of Naples Parthenope, Napoli, Italy
Interests: sustainability accounting; supply chain digitalization; sustainable business models; blockchain and digital platforms; carbon accounting; sustainability reporting; integrated reporting; GHG protocol
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Guest Editor
Shipping, Trade & Transport Dpt., School of Business Studies, University of the Aegean, 2A Korai street, Chios 82100, Greece
Interests: advanced corporate financial management; banking and finance; international financial markets; portfolio management mergers & acquisition; corporate governance; social responsibility; shipping management; tourism economic development; sustainable development goals (SDGs).

Special Issue Information

Dear Colleagues,

In recent decades, scholars, practitioners, and institutions have been paying increasing attention to the environmental, sustainability, and social issues that represent the three dimensions of the “triple bottom line” (TBL) approach (Elkington, 1998). In other words, companies deliver their business into strict regulation frameworks and, at the same time, welcome social values, especially to achieve a sustainable performance and to promote a solid reputation (Scheyvens et al., 2016; Tavanti and Stachowicz-Stanusch, 2013; Adams and Larrinaga-González, 2007).

In the realm of normative requirements, the adoption of rules does not only refer to controlling and reporting activities (such as certifications and permissions), but also requires careful business behavior and treatment of the environment. Hence, companies attempting to comply to typical regulations do not always achieve efficient and improved corporate performance. Indeed, a revised mindset towards redefining the core business model to include sustainability and environmental dimensions as well as social perspectives and implications can support the promotion of efficient operational processes and, eventually, profitability and value creation. 

Effective and innovative managerial processes and instruments must be proposed that aim toward the promotion of environmentally responsible and sustainable behaviors. Thus, control and metric systems need to be implemented to allow all stakeholders to make choices regarding the effective management of economic but also environmental and social impacts derived from business operations and activities, putting management innovations into practice.

The United Nations introduced the UN 2030 agenda and its 17 Sustainable Development Goals (SDGs) in 2015 to promote operational actions for human wellness worldwide. Meeting these goals also entails realization of the TBL approach. Nevertheless, in 2020, the achievement of these goals is discussed in the context of uncertainties that have arisen as a result of the COVID-19 pandemic. The entrepreneurial business models must be revised and reorganized in terms of organizational, accounting, and strategic systems and, above all, to account for the “social distancing” necessary to limit the contagion. Sustainable, environmental, and social disclosure need to be revised. This is necessary to rebuild the trust of stakeholders regarding business continuity. Indeed, the timely assessment of ongoing concerns is required with respect to when financial statements are issued. 

To achieve the SDGs, academics and practitioners seek technical tools and accounting and reporting approaches and practices (Bebbington and Unerman, 2018; Schaltegger, 2018). This process is vital for conducting business-as-usual, especially in integrating social distancing measures. Enterprises must ensure sustainable and social organizations founded upon architectures of environmental and sustainable accounting, accounting for “social distancing” and its impact on processes, workers, partnerships, and financial measures. A broad reading of the proposed managerial instruments can fill the ever-existing gap in the regulatory and research frameworks. SDG methodologies and practices in the context of social distancing still appear to be underdeveloped.  

The Special Issue invites scholars to detail the current methodologies and practices for the SDGs initiatives adopted by firms operating in sectors, particularly outlining the involved complexities. The aim of this Special Issue is to promote innovative and original research on the accounting and reporting methodology and practices for the achievement of SDGs. Relevant papers of theoretical and empirical research on these topics are welcomed.

Prof. Dr. Assunta Di Vaio
Prof. Dr. Theodore Syriopoulos
Guest Editors

Manuscript Submission Information

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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

  • Business models and social issues
  • COVID-19 pandemic, environmental and social accounting
  • Management innovation for environmental sustainability
  • Resilience theory, SDGs, and reporting
  • SDGs and management innovation systems
  • Social distancing
  • SDGs initiatives and business continuity

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Published Papers (7 papers)

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Research

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16 pages, 518 KiB  
Article
Artificial Intelligence in the Water–Energy–Food Model: A Holistic Approach towards Sustainable Development Goals
by Gabriella D’Amore, Assunta Di Vaio, Daniel Balsalobre-Lorente and Flavio Boccia
Sustainability 2022, 14(2), 867; https://doi.org/10.3390/su14020867 - 13 Jan 2022
Cited by 52 | Viewed by 7613
Abstract
This study aims to analyze the role of artificial intelligence (AI) in the Water–Energy–Food (WEF) nexus under the lens of institutional, stakeholder, and innovation theories. Specifically, this study focuses on AI as the technology adopted by companies to promote Sustainable Development Goals (SDGs). [...] Read more.
This study aims to analyze the role of artificial intelligence (AI) in the Water–Energy–Food (WEF) nexus under the lens of institutional, stakeholder, and innovation theories. Specifically, this study focuses on AI as the technology adopted by companies to promote Sustainable Development Goals (SDGs). A structured literature review has been conducted on 94 articles published from 1990 to 2021 in ISI Web of Science, Scopus, and Google Scholar. This study develops an in-depth review of the literature on the main articles arguing about these issues. The findings highlight the increasing relevance of AI in the water, energy, and food industries individually considered, but the study of AI as a connector between water, energy, and food to achieve SDGs is still under investigation. Research on AI for WEF nexus management has adopted mostly a technical perspective, neglecting the relevance of management tools and the business model concept. Most of the articles did not adopt a specific theoretical lens, but scholars recognize the need to adopt a multi-stakeholder approach and the important role played by AI and other digital technologies to address the WEF nexus challenge. This study proposes an integrated approach for managing the nexus through AI technologies to meet sustainable and responsible business models. The gap between research and policy making could be filled by combining scientific data and policy needs with inclusive tools that are technically viable for sustainable resource utilization. Full article
(This article belongs to the Special Issue Management and Innovation for Environmental Sustainability)
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15 pages, 518 KiB  
Article
The Mediating Role of HRM in the Relationship between CSR and Performance in the Hospitality Industry
by Simona Franzoni, Huma Sarwar and Muhammad Ishtiaq Ishaq
Sustainability 2021, 13(24), 13699; https://doi.org/10.3390/su132413699 - 11 Dec 2021
Cited by 15 | Viewed by 5210
Abstract
In recent years, the concepts of human resource management (HRM) and corporate social responsibility (CSR) have gained significant focus across industries. The role and implications of CSR are vital for organizational success; similarly, HRM plays a vital role in understanding, developing, and implementing [...] Read more.
In recent years, the concepts of human resource management (HRM) and corporate social responsibility (CSR) have gained significant focus across industries. The role and implications of CSR are vital for organizational success; similarly, HRM plays a vital role in understanding, developing, and implementing CSR strategies. Therefore, we claimed that the nexus of HRM and CSR is worthwhile to study and relevant in the current pandemic situation. Despite recent calls about the role of human resource management (HRM) and corporate social responsibility (CSR) in achieving sustainable performance, a few studies have investigated their role combinedly in the hospitality industry, especially in a cross-cultural context. Therefore, the present study addresses the current lack of comparative research about the impact of HRM and CSR on sustainable performance in the hospitality industry of Pakistan, the UK, and Italy and shows the mediating role of HRM in such a relationship. A quantitative methodology is applied to the survey of the employees from 354 Pakistani, 438 British, and 520 Italian hotels working in three-, four-, and five-star hotels. The results showed a positive correlation between CSR, HRM, and sustainable performance. Moreover, the results also indicated significant differences among the three countries analyzed concerning the mediating role of HRM in this relationship. Full article
(This article belongs to the Special Issue Management and Innovation for Environmental Sustainability)
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16 pages, 870 KiB  
Article
A Multidimensional Model of Sustainable Renewable Energy Linking Purchase Intentions, Attitude and User Behavior in Nigeria
by Paul Chibuogwu Ashinze, Jian Tian, Peter Chiedu Ashinze, Mehrab Nazir and Imrab Shaheen
Sustainability 2021, 13(19), 10576; https://doi.org/10.3390/su131910576 - 24 Sep 2021
Cited by 16 | Viewed by 4247
Abstract
This study investigates the challenges to Nigeria’s renewable energy growth; specifically, it analyzes the factors that influence the intention to use renewable energy in Nigeria. This paper was based on the theory of planned behavior, the technology acceptance model, the unified theory of [...] Read more.
This study investigates the challenges to Nigeria’s renewable energy growth; specifically, it analyzes the factors that influence the intention to use renewable energy in Nigeria. This paper was based on the theory of planned behavior, the technology acceptance model, the unified theory of acceptance and use of technology, the diffusion of innovation theory, and previous studies on acceptance. The proposed hypotheses have been tested using structured questionnaires based on a sample of 500 Nigerian family heads. A structural equation modeling technique was used to analyze the relationships of the studied variables—relative advantage, ease of use, perceived behavioral control, subjective norm, awareness, cost, attitude, income, gender, age, and education—with purchase intention. The study findings show that attitude has a significant mediating effect on the relationship between intention to use and determinants (relative advantage, subjective norm, perceived behavioral control, ease of use, cost and awareness) and no significant impact on the purchase intention of the control variables (income, education, age, and gender) in the structural model. The study’s results support business decisions in the renewable energy sub-sector in Nigeria and other developing nations. Furthermore, the results of this study could serve as a reference for the government to make decisions concerning the implementation of renewable energy. Full article
(This article belongs to the Special Issue Management and Innovation for Environmental Sustainability)
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13 pages, 1111 KiB  
Article
Green and Sustainable Entrepreneurial Intentions: A Mediation-Moderation Perspective
by Iftikhar Hussain, Mehrab Nazir, Saadia Bano Hashmi, Assunta Di Vaio, Imrab Shaheen, Muhammad Arfaq Waseem and Adeel Arshad
Sustainability 2021, 13(15), 8627; https://doi.org/10.3390/su13158627 - 2 Aug 2021
Cited by 33 | Viewed by 5052
Abstract
This research was aimed to investigate the connection between the social networking sites and green entrepreneurship intentions through a mediated-moderated model. The study was based on the Shepero’s model of entrepreneurship intentions and Ajzen’s theory of planned behavior. The study design reflects that [...] Read more.
This research was aimed to investigate the connection between the social networking sites and green entrepreneurship intentions through a mediated-moderated model. The study was based on the Shepero’s model of entrepreneurship intentions and Ajzen’s theory of planned behavior. The study design reflects that social networking sites and green entrepreneurship intentions are mediated by risk propensity and self-efficacy, while self-efficacy and green entrepreneurship intentions’ relationship is further moderated by subjective norms. A well-structured and self-administered questionnaire was used to collect data from 500 respondents. The data were analyzed, and hypotheses were tested using PLS-SEM. The study findings confirmed that there exists a positive and significant link between social networking sites and green entrepreneurship intentions through the indirect effect of risk propensity and self-efficacy. However, the findings regarding moderating effect indicated that subjective norms have no significant impact between the self-efficacy and green entrepreneurship intentions. The study findings have significant academic and practical implications for government representatives, policymakers, and entrepreneurial educational institutes that can use these findings. Full article
(This article belongs to the Special Issue Management and Innovation for Environmental Sustainability)
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21 pages, 2054 KiB  
Article
Framing Twitter Public Sentiment on Nigerian Government COVID-19 Palliatives Distribution Using Machine Learning
by Hassan Adamu, Syaheerah Lebai Lutfi, Nurul Hashimah Ahamed Hassain Malim, Rohail Hassan, Assunta Di Vaio and Ahmad Sufril Azlan Mohamed
Sustainability 2021, 13(6), 3497; https://doi.org/10.3390/su13063497 - 22 Mar 2021
Cited by 29 | Viewed by 5013
Abstract
Sustainable development plays a vital role in information and communication technology. In times of pandemics such as COVID-19, vulnerable people need help to survive. This help includes the distribution of relief packages and materials by the government with the primary objective of lessening [...] Read more.
Sustainable development plays a vital role in information and communication technology. In times of pandemics such as COVID-19, vulnerable people need help to survive. This help includes the distribution of relief packages and materials by the government with the primary objective of lessening the economic and psychological effects on the citizens affected by disasters such as the COVID-19 pandemic. However, there has not been an efficient way to monitor public funds’ accountability and transparency, especially in developing countries such as Nigeria. The understanding of public emotions by the government on distributed palliatives is important as it would indicate the reach and impact of the distribution exercise. Although several studies on English emotion classification have been conducted, these studies are not portable to a wider inclusive Nigerian case. This is because Informal Nigerian English (Pidgin), which Nigerians widely speak, has quite a different vocabulary from Standard English, thus limiting the applicability of the emotion classification of Standard English machine learning models. An Informal Nigerian English (Pidgin English) emotions dataset is constructed, pre-processed, and annotated. The dataset is then used to classify five emotion classes (anger, sadness, joy, fear, and disgust) on the COVID-19 palliatives and relief aid distribution in Nigeria using standard machine learning (ML) algorithms. Six ML algorithms are used in this study, and a comparative analysis of their performance is conducted. The algorithms are Multinomial Naïve Bayes (MNB), Support Vector Machine (SVM), Random Forest (RF), Logistics Regression (LR), K-Nearest Neighbor (KNN), and Decision Tree (DT). The conducted experiments reveal that Support Vector Machine outperforms the remaining classifiers with the highest accuracy of 88%. The “disgust” emotion class surpassed other emotion classes, i.e., sadness, joy, fear, and anger, with the highest number of counts from the classification conducted on the constructed dataset. Additionally, the conducted correlation analysis shows a significant relationship between the emotion classes of “Joy” and “Fear”, which implies that the public is excited about the palliatives’ distribution but afraid of inequality and transparency in the distribution process due to reasons such as corruption. Conclusively, the results from this experiment clearly show that the public emotions on COVID-19 support and relief aid packages’ distribution in Nigeria were not satisfactory, considering that the negative emotions from the public outnumbered the public happiness. Full article
(This article belongs to the Special Issue Management and Innovation for Environmental Sustainability)
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27 pages, 921 KiB  
Article
The Long-Run Impact of Information Security Breach Announcements on Investors’ Confidence: The Context of Efficient Market Hypothesis
by Syed Emad Azhar Ali, Fong-Woon Lai, Rohail Hassan and Muhammad Kashif Shad
Sustainability 2021, 13(3), 1066; https://doi.org/10.3390/su13031066 - 21 Jan 2021
Cited by 18 | Viewed by 6093
Abstract
Information and communication technologies (ICTs) are the cornerstone for sustainable development, but if they are not appropriately managed, they will impede progress towards the United Nations Global Sustainable Development Goals. Among undesirable impacts, emphasis must be put on the risk of information security [...] Read more.
Information and communication technologies (ICTs) are the cornerstone for sustainable development, but if they are not appropriately managed, they will impede progress towards the United Nations Global Sustainable Development Goals. Among undesirable impacts, emphasis must be put on the risk of information security (ISec) breaches, as they pose a potential threat to businesses there. Especially for publicly traded firms, they could create a long-lasting influence on their financial performance and, thus, stock investors’ confidence. Following the efficient market hypothesis’s footsteps, previous studies have examined only the short-run impact on investors’ confidence ensuing to ISec breach announcements. Therefore, this study investigates the long-run impact of ISec breach announcements on investors’ confidence. Based on a sample of 73 ISec breach announcements during 2011–2019, this paper examines the impact on investors’ confidence, as demonstrated by long-run abnormal returns and equity risk of those firms. Using a one-to-one matched sampling approach, each firm’s performance is analyzed with its control firm over eighteen months, starting six months before the announcement, through twelve months after the announcement. Firms experienced a significant negative abnormal return of 15% to 18% during the twelve months following the breach announcement. In comparison, equity risk increased by 11% within six months before and after an announcement. This study can help investors, managers, and researchers better understand a long-term relationship between ISec breaches and investor confidence in the context of efficient market hypothesis. Full article
(This article belongs to the Special Issue Management and Innovation for Environmental Sustainability)
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14 pages, 975 KiB  
Hypothesis
Integrating Data-Based Strategies and Advanced Technologies with Efficient Air Pollution Management in Smart Cities
by Seunghwan Myeong and Khurram Shahzad
Sustainability 2021, 13(13), 7168; https://doi.org/10.3390/su13137168 - 25 Jun 2021
Cited by 12 | Viewed by 4348
Abstract
The COVID-19 pandemic has demonstrated that creative leadership based on data and citizen volunteers is more significant than vaccines themselves, so this study focuses on the collaboration of sophisticated technologies and human potential to monitor air pollution. Air pollution contributes to critical environmental [...] Read more.
The COVID-19 pandemic has demonstrated that creative leadership based on data and citizen volunteers is more significant than vaccines themselves, so this study focuses on the collaboration of sophisticated technologies and human potential to monitor air pollution. Air pollution contributes to critical environmental problems in various towns and cities. With the emergence of the smart city concept, appropriate methods to curb exposure to pollutants must be part of an appropriate urban development policy. This study presents a technologically driven air quality solution for smart cities that advertises energy-efficient and cleaner sequestration in these areas. It attempts to explore how to incorporate data-driven approaches and citizen participation into effective public sector pollution management in smart cities as a major component of the smart city definition. The smart city idea was developed as cities became more widespread through communication devices. This study addresses the technical criteria for implementing a framework that public administration can use to prepare for renovation of public buildings, minimizing energy use and costs and linking smart police stations to monitor air pollution as a part of an integrated city. Such a digital transition in resource management will increase public governance energy performance and provide a higher standard for operations and a healthier environment. The study results indicate that complex processes lead to efficient and sustainable smart cities. This research discovered an interpretive pattern in how public agencies, private enterprises, and community members think and what they do in these regional contexts. It concludes that economic and social benefits could be realized by exploiting data-driven smart city development for its social and spatial complexities. Full article
(This article belongs to the Special Issue Management and Innovation for Environmental Sustainability)
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