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The firms’ adoption and improvement of big data analytics capabilities to improve economic and environmental performance have recently increased. This makes it important to discover the underlying mechanism influencing the association between big data analytics (BDA) and economic and environmental performance, which is missing in the existing literature. The present study discovers the indirect effect of green innovation (GI) and the moderating role of corporate green image (CgI) on the impact of BDA capabilities, including big data management capability (MC) and big data talent capability (TC), on economic and environmental performance.

A time-lagged design was employed to collect data from 417 manufacturing firms, and study hypotheses were evaluated using Mplus.

The empirical outcomes indicate that both BDA capabilities of firms significantly influence green innovation (GI), which significantly mediates the relationship between BDA and economic and environmental performance. Our findings also revealed that CgI strengthened the effect of GI on economic and environmental performance. The empirical evidence provides important theoretical and practical repercussions for manufacturing SMEs and policymakers.

This study contributes to the literature on BDA by empirically exploring the effects of MC and TC on improving the EcP and EnP of manufacturing firms. It does so through the indirect impact of GIs and the moderating effect of CgI, thereby extending the Dynamic capabilities view (DCV) paradigm.

The purpose of this paper is to assess the relationship between five green practices and firm performance. In addition, this paper investigates the influence of each green practice on environmental performance, economic benefits, and economic costs.

Data were collected based on a cross-sectional survey of owner/managers of 200 manufacturing SME firms in Uganda, Africa. SPSS was used to find descriptive means and test relationships between green practices and performance outcomes. Structural equation modelling was used to test for the influence of each practice on performance outcomes. The structural equation modelling results were obtained using the Covariance-Based Structural Equation Modelling software. Results were compared with similar studies conducted in developing countries.

Different green practices affect different performance dimensions in different ways across different industries. For example, eco-design and internal environmental management practices significantly influence environmental performance; green purchasing and internal environmental management practices significantly influence economic benefits; and internal environmental management practices affect economic costs. Overall internal environmental management is the key to positive outcomes across the three performance criteria. The authors show how the results obtained vary from similar studies conducted in developing countries and explain possible reasons for the difference.

Africa is a rapidly industrialising nation faced with difficult choices between economic growth and increased pollution. Because SMEs represent the majority of manufacturing firms, they are the main polluters. Hence, better understanding of the costs and benefits, both environmental and economic, is important to encourage green practice adoption for the betterment of community health and prosperity.

Despite numerous studies on the relationships between green practice adoption and performance outcomes, only a few studies include both economic costs and benefits in addition to environmental performance. The study covers five green supply chain practices, whereas most similar studies are limited in the number of practices examined. The African context is unique and important because industrial development and environmental protection goals are in conflict. Similar studies are predominant in an Asian context which is more developed than Africa. The findings and comparisons raise important questions for further research in relation to the roles of national regulations, geographical markets and industry types in furthering green practices in manufacturing.

Corporate environmental expenditure has been a growing concern in recent years, yet mixed findings exist regarding its economic impact. The purpose of this paper is to explain the mixed relationship between environmental expenditure and economic performance from the natural-resource-based view.

Using Global Reporting Initiative survey data from 120 firms in 30 countries, this study uses PROCESS, a path-based analysis software, to test the moderation and mediation hypotheses in an integrated analytical model.

The findings show that environmental expenditure has a negative impact on economic performance through pollution prevention capability. In contrast, environmental expenditure has a positive impact on economic performance through product stewardship capability. Both effects are significantly strengthened when the firm is located in an environmentally munificent country.

This study intends to inform firm managers, especially those in environmentally munificent countries, to relocate their environmental expenditure to enhance firms’ economic performance. In particular, firms should focus more on the reduction of input, such as raw materials, energy, and water, instead of output, including emissions, effluents, and wastes.

The contrasting indirect effects of pollution prevention and product stewardship offer a viable explanation for the mixed findings in the existent literature on environmental expenditure from a new perspective.

The purpose of this paper is to evaluate the research conducted among the interim, dyadic interactions that bridge the stand-alone measures of economic, environmental and social performance and the level of sustainability, as suggested in the Carter and Rogers (2008) framework.

This paper conducts a systematic literature review based on the Tranfield et al. (2003) method of the articles published in 13 major journals in the area of supply chain management between the years 2010 and 2016. Results were analyzed using an expert panel.

The area of research between environmental and social performance is sparse and relegated to empirical investigation. As an important area of interaction, this area needs more research to answer the how and why questions. The economic activity seems to be the persistent theme among the interactions.

The literature on the “environmental performance and social performance (ES)” interactions is lacking in both theoretical and analytical content. Studies explaining the motivations, optimal levels and context that drive these interactions are needed. The extant research portrays economic performance as if it cannot be sacrificed for social welfare. This approach is not in line with the progressive view of sustainable supply chain management (SSCM) but instead the binary view with an economic emphasis.

To improve sustainability, organizations need the triple bottom line (TBL) framework that defines sustainability in isolation. However, they also need to understand how and why these interactions take place that drive sustainability in organizations.

By examining the literature specifically dedicated to the essential, interim, dyadic interactions, this study contributes to bridging the gap between stand-alone performance and the TBL that creates true sustainability. It also shows how the literature views the existence of sustainability is progressive, but many describe sustainability as binary. It is possible that economic sustainability is binary, and progressive characterizations of SSCM could be the reason behind the results favoring economic performance over environmental and social.

The purpose of this study is to draw on several perspectives rarely used in reverse logistics (RL) research – such as sustainable development, the natural resource-based view and green innovation – to examine the relationship between RL innovation and environmental and economic performance while incorporating institutional theory to verify how institutional pressures moderate these relationships.

A questionnaire survey is used to investigate Taiwan's electrical, electronic and information industries, as well as maintenance and retail stores selling computers, communications and consumer electronics. First, a hierarchical regression analysis is used. Next, moderating relationships are examined along with the related regulatory, competitor and customer pressures.

The results indicate that RL innovation is positively associated with environmental and economic performance. Moreover, three institutional pressures positively moderated the relationships between RL innovation and environmental performance. However, investment in greater RL innovation under higher-level institutional pressures did not always enhance economic performance.

Reverse logistics innovation comprises five components, one of which is cross-functional integration, the process of obtaining information from marketing, production and logistics managers about how their firms created the marketing-operations interface to better handle RL. However, we obtained RL innovation information only from individual respondents. In addition, this study focuses on the economic and environmental aspects of RL activities. Future studies should apply the RL perspective on social sustainability to probe RL issues from sustainability's environmental, social and economic points of views.

Contrary to the conventional wisdom that RL imposes costs, reduces productivity and curbs competitiveness, this study finds that RL innovation can enrich environmental and economic performances, indicating that firms with more innovative RL capabilities yield more sustainable outcomes for environmental protection, social responsibility and economic performance.

This study contributes to the RL literature by applying multiple perspectives – including sustainable development, the natural resource-based view and green innovation – to explore the relationship between RL innovation and performance while using institutional theory to probe the moderating effects of institutional pressures on RL innovation and performance.

To overcome the various pressures related to the environmental damage raised by production processes, enhancing sustainable reverse logistics (SRL) capability is a new road for manufacturing companies, as it facilitates them to have more sustainable operations by increasing different performance outputs. This study aims to investigate the relationship between the SRL capability and the triple bottom line (TBL) i.e. economic, social and environmental performance in the context of Turkey's manufacturing industry. The mediating role of sustainability culture has also been examined.

Using survey data obtained from the Turkish manufacturing industry, the partial least square path modeling technique of structural equation modeling has been applied to test the research hypothesis.

The results of the study indicate that the SRL capability generates not only outstanding environmental and economic gains but also social benefits. The authors also find that sustainability culture is positively associated with environmental and social performance, yet not economic performance. In addition, the findings indicate sustainability culture mediates the relationship between SRL capability and social performance.

This study expands the frontier of managerial knowledge by highlighting the importance of SRL capability for sustainability and exhibiting evidence of the business value of enhancing SRL capability and sustainability culture.

This study aims to develop a comprehensive green supplier governance (GSG) concept and explore whether specific GSG approaches (green supplier assessment, green supplier assistance and green strategic partnership with suppliers (GSPS)) bring environmental and economic performance. Moreover, this study aims to reveal a synergistic effect of three GSG approaches on performance improvement.

Using data collected from 200 Chinese manufacturing firms, regression analysis was employed to reveal the relationship between specific GSG approaches and firm performance. Further, cluster analysis was used to identify groupings of firms regarding implementation levels of three GSG approaches and compare the performance of the firm groups.

Green supplier assessment (GSA) can bring environmental performance, but GSA is not associated with economic performance. Green supplier assistance is positively associated with economic performance, while green supplier assistance cannot improve environmental performance. Only GSPS leads to improvement for both environmental and economic performance. Furthermore, firms with high implementation levels of GSA and GSPS (whether with high or low implementation levels of GSAS) can achieve the best environmental and financial performance.

This study provides implications for firms to more strategically and comprehensively implement GSG approaches, which can be more effective in bringing environmental and economic performance.

The authors' study extends the GSG concept with two approaches by subdividing the collaborative approach into green supplier assistance and GSPS based on the collaboration levels. This study also sheds light on how to improve firm performance by different GSG approaches and reveals a synergistic effect of three GSG approaches on performance.

This study explores the relationships among sustainability implementation barriers (resource, managerial and regulatory barriers), sustainability practices (sustainable construction materials, sustainable construction design, modern construction methods and environmental provisions and reporting) and sustainability performance (environmental, economic and social) in hill road construction (HRC).

Primary data were collected from the 313 HRC practitioners with the help of a questionnaire, and research hypotheses were tested employing structural equation modeling.

The findings reveal a mixed effect of sustainability implementation barriers. Resource (managerial) barriers are negatively related to all practices except environmental provisions and reporting (sustainable construction materials), while regulatory barriers only negatively impact modern construction methods. On the other hand, all sustainability practices positively impact environmental performance, whereas economic (social) performance is positively influenced by all practices, except environmental provisions and reporting (modern construction methods), and positively affects economic performance.

In order to transform HRC toward sustainability, the barriers to sustainability implementation, sustainability practices and performance need to be understood by practitioners; however, the relationships have not previously been empirically assessed in extant literature. Besides, past research appears to be predominantly focused on the environmental aspect, thereby neglecting economic and social aspects. This study is a modest attempt to bridge these research gaps.

Research on sustainability has progressed from a singular focus on one aspect to a simultaneous focus on more than one aspect of the triple bottom line. However, there is a dearth of research that explains why sustainability-related decisions in business often do not bear the expected results. Research that provides managers with a tool to achieve environmental sustainability of logistics without compromising the economic sustainability is scarce. Hence, the purpose of this paper is to bridge the above gaps and to explore the factors that affect investment in technology to balance environmental and economic sustainability of logistics. A model based on system dynamics approach explains the simultaneous interplay of these factors. Simulating the model helps the managers of logistics function decide the size of investment in technology, to achieve environmental efficiency without negatively influencing the economic performance.

A model based on system dynamics approach explains the simultaneous interplay of these factors. Simulating the model helps the managers of logistics function decide the size of investment in technology, to achieve ecological efficiency without compromising with the economic performance.

Collaboration with regulatory authorities and with players within the same industry and across industries is a must so that eco-logistics does not become an economic burden for businesses. The decision to invest in technology for eco-logistics is further accentuated if the technology promises some added economic benefits.

From a theoretical perspective, the research has added to the less extensive literature on system dynamics modelling, which is a mixed methodology, combining both qualitative and quantitative techniques. The research is also one of the few attempts that have attempted to simultaneously study more than one aspects of sustainability in business, quantitatively through simulation. Simulation was demonstrated through a single case study, Future works can aim to apply the causal loop diagram to firms in varied sectors.

The managers can use the causal loop diagram to assess the environmental performance of logistics and decide on appropriate level of investment to balance ecological and economic performance of logistics.

The causal loop diagram has been developed through primary data collection via semi-structured interviews. The results were validated by presenting them to respondents to ensure they represent their view points. The results are, therefore, practical and original. This research does not build upon an existing data set or aims to test the applicability of any existing model. The model for this research has been developed from the grass-roots level.

Focusing on a sample of firms from environmentally sensitive industries over several years, this study aims to reexamine the association between environmental disclosure and environmental performance.

The authors use a panel data analysis to examine how the interaction between environmental performance and economic and legitimacy factors influence firms’ environmental disclosures.

Results suggest that environmental performance moderates the effect of economic and legitimacy incentives on firms’ propensity to provide proprietary environmental disclosure, with both sets of incentives being influential. More specifically, there appears to be a reporting bias based on the firm’s environmental performance whereas the high-performers disclose more environmental information in the three following vehicles: annual report, 10-K and sustainability reports combined. Results also show that economic and legitimacy factors influence the disclosure decisions of the low and high environmental performers differently.

Understanding the determinants of environmental disclosure for high and low environmental performers helps regulators to close the reporting gap between these firms.

There is little evidence to suggest that firms with low-environmental performance attempt to use their disclosures to legitimize their environmental operations.

The study examines environmental disclosures of 78 firms over a period of 14 years in annual, 10-K and sustainability reports. The panel data analysis controls for significant cross-sectional and period effects.