The adoption of green practices by Chinese firms

Source prevention or end-of-pipe treatment? Green public procurement and corporate environmental investment strategies

As a market-based environmental policy instrument, Green Public Procurement (GPP) increases environmental legitimacy pressures on companies. However, it is unclear whether and how this change in pressure is reflected in corporate environmental investment strategies. Using manually collected data on corporate environmental investment and green public procurement data obtained through textual analysis techniques, this study observes that GPP significantly promotes corporate environmental investment in source prevention, but has no obvious effect on environmental investment in end-of-pipe treatment, suggesting that enterprises obtaining green procurement orders are more inclined to adopt a preventive environmental investment strategy in response to increasing environmental pressures. The above effects are more pronounced in enterprises where the interests of shareholders and managers are aligned and in highly competitive industries. Mechanism analysis reveals that the government's threat of termination of procurement, increased attention from green investors, and improved access to environmental subsidies are potential mechanisms by which GPP influences corporate environmental investment strategies. Finally, we investigate the supply chain spillovers of GPP using a unique three-level supply chain dataset. This study provides valuable insights into how developing countries can use market-based policy instruments to induce and incentivize enterprises to adopt proactive environmental strategies.

Identification and ranking of enablers to green technology adoption for manufacturing firms using an ISM-MICMAC approach

The debate about the adoption of green technologies (GTs) is trending due to increasing environmental concerns across the globe. In the context of the manufacturing industry, the research about enablers to GT adoption while using the ISM-MICMAC approach is scarce. Hence, the empirical analysis of GT enablers is being done in this study using a novel ISM-MICMAC method. Firstly, the research framework is developed by using the ISM-MICMAC methodology. Then, enablers to GTs were extracted from existing studies and validated by experts. Results showed that the most significant enabler to GT adoption is providing incentives for green manufacturers (1) in the ISM model. So, manufacturing firms must take initiatives for GTs to mitigate the negative environmental impact of industrialization without losing their earnings. This research brings substantial empirical scholarship to understand GT enablers and their contribution in GT enabler incorporation in the manufacturing industry of developing economies.

Explicating the microfoundation of SME pro-environmental operations: the role of top managers

Purpose

By recognizing the decisive role of top managers (TMs) of small- and medium-sized enterprises (SMEs), this study attempts to explicate the microfoundation of pro-environmental operations of SMEs by examining the influence of institutional pressure on managerial cognition and subsequent SME pro-environmental operations. This study highlights the personal ethics of TMs, so as to examine the moderating effect of TMs' place attachment on SMEs' pro-environmental operations.

Design/methodology/approach

Empirical data are collected from a questionnaire survey of 509 SMEs in China. Hierarchical regression results are subject to cross-validation using secondary public data.

Findings

This study demonstrates that coercive and mimetic pressures have inverted U-shaped effects, whilst normative pressure has a U-shaped effect on the threat cognition of TMs. The results also show that TMs' threat cognition (as opposed to opportunity cognition) positively influences SMEs' pro-environmental operations. Moreover, both the emotional (place identity) and functional (place dependence) dimensions of place attachment have positive moderating effects on the relationship between threat cognition and SMEs' pro-environmental operations.

Practical implications

Findings of this study lead to important implications for practitioners such as regulators, policy makers and trade associations. Enabling better understanding of the nature of SMEs' pro-environmental operations, they allow for more targeted development and the provision of optimal institutional tools to promote such operations.

Originality/value

This study allows some important factors that differentiate SMEs from large firms to surface. These factors (i.e. institutional pressures, managerial cognition and place attachment) and the interactions between them form important constituents of the microfoundations of SMEs' pro-environmental operations.

Diffusion Path Identification of Public Opinion Involving Enterprise Green Technology Adoption: An Interpretive-Structural-Modeling-Based Approach

With the increasing information transparency of business operations' environmental influences, public opinion plays an important role in the green technology adoption of enterprises. Identifying the diffusion path of public opinion involving the process of enterprise green technology adoption is a significant task to verify the triggering mechanisms among the external factors and internal ones. An appropriate framework may help to clarify how the sustainability elements of public opinion are introduced to green technology adoption. Therefore, an interpretive structural-modeling (ISM)-based approach was applied to explore the basic transmission process and path of public opinion involving green technology adoption in enterprise practices. From the pressure of public opinion to the stakeholders involved, as well as the corresponding operational environmental activities, this study explored the psychological behavior of internal and external stakeholders and tried to clarify what the driving elements of green technology adoption are and how they relate to each other. Based on the field data collected from practitioners with Chinese contextual experience, the driving elements of the enablers of green technology adoption by enterprises were identified, and the fundamental triggering mechanisms of the public opinion pressure among them were analyzed. Thereafter, the influence of internal and external stakeholders involving green technology adoption and their corresponding behaviors under the pressure of public opinion were determined and expounded comprehensively, which illustrates the diffusion path of how public opinion influences the operational green technology adoption. This may narrow the gap between public environmental expectation and business operations. Finally, the managerial implications and the limitations of this study were concluded. The explanatory corresponding ISM model established in this study enriches the literature on the theoretical research of the mechanisms of green technology adoption.

Critical Obstacles Affecting Adoption of Industrial Big Data Solutions in Smart Factories

Industrial big data is the key to realize the vision of smart factories. This research aims to identify and explore potential barriers that prevent organizations from deploying industrial big data solutions in the development of smart factories through a socio-technical perspective. The research follows an inductive qualitative approach. Twenty-seven semi-structured interviews were conducted with the CEO, smart factory manager, IT managers, departmental heads, and IS consultants in the selected case company. The interview data were analyzed using a thematic analysis method. Derived from a thematic analysis, six sets of barriers including technical, data, technical support, organization, individual, and social issues were identified, as well as the relationships between them. An empirical framework was developed to highlight the relationship between these barriers. This study contributes to the knowledge of industrial big data in general and provides constructive insight into industrial big data implementation in smart factory development particularly.

Antecedents for blockchain technology-enabled sustainable agriculture supply chain

Blockchain can solve the problems that the agriculture supply chain (ASC) is facing to achieve sustainable growth. In a nation like India, blockchain application in the supply chain is still new; therefore, supply chain players need a better understanding and awareness of blockchain through valuable insights. This article aims to study the mediating role of blockchain technology adoption (BLCT) for sustainable supply chain performance (SSCP). This study investigates the influence of numerous factors such as green and lean practices, supply chain integration, supply chain risk, performance expectancy, top management support, cost, internal and external environmental conditions, regulatory support, and innovation capability on BLCT adoption. A sample of 316 respondents from Indian ASC industries was collected, and structural equation modeling (SEM) was used. This study's outcomes show that green and lean practices, supply chain integration, supply chain risks, internal and external conditions, regulatory support, innovation capability, and cost positively influence BLCT adoption. Moreover, BLCT positively influences sustainable agriculture supply chain performance. This article is valuable for policymakers, managers, service providers, researchers, and academicians to understand the role of factors in influencing BLCT and BLCT's role in improving sustainable supply chain performance (SSCP).

Institutional Pressures, Sustainable Development Goals and COVID-19: How Are Organisations Engaging?

This article aimed at answering the following research question: How do institutional pressures influence the engagement of organisations with the Sustainable Development Goals (SDGs) in the context of the COVID-19 pandemic? To address it, we applied a survey with Brazilian organisations in late 2020. From group analysis and the comparison of means (test-t), we conclude that, in the pandemic scenario, organisations from various sectors and industries are affected mainly by coercive pressures but also by normative and, to a lesser extent, mimetic pressures. Furthermore, this study has shown that while opportunities are arising from normative and mimetic institutional pressures, it is in the coercive pressures that the guidance lies for the re-establishment of economic, social, and environmental development and prosperity in a post-pandemic scenario. Thus, despite some optimistic results, achieving the purpose outlined by the 2030 Agenda seems to be distant or at least needs an even more substantial effort if its responsibility rests solely with legislative and governmental forces.

Procurement 4.0 to the rescue: catalysing its adoption by modelling the challenges

Purpose

The pandemic crisis has resulted in global chaos that had caused massive disruption to the supply chain. The pharmaceutical industry, in particular, has been working tirelessly to ensure that they can cater to the people who need them. With restrictions being imposed to prevent the spread of the COVID-19 virus, the movement of raw materials required has been affected, thus creating the need for the procurement function to be innovative. This study proposes the application of Industry 4.0 concepts into the procurement activities of an organization to make it more resilient and efficient.

Design/methodology/approach

To study the intensity of the challenges, Total Interpretive Structural Modelling is used alongside the “Matrice des Impacts Croises Multiplication Appliquee a un Classement” (MICMAC) technique.

Findings

Resilience can be achieved through the collaboration between the organization and its network of suppliers. This is however easier said than done. High and unclear investments have been identified as the challenge that is taking a toll on all technological investments in the pandemic era. The study also shows that organizational inertia which is present in established and structured firms are a deterrent as well.

Originality/value

This study is based on the application of procurement 4.0 to ensure that pharmaceutical supply chains stay least affected since they are essentials. This study using a multi-criteria decision-making approach to prioritize the challenges. This will help practitioners make decisions faster.

Aspirations and environmental performance feedback: a behavioral perspective for green supply chain management

Purpose

This study investigates the relationships between environmental performance feedback and green supply chain management (GSCM). It explores how environmental performance above or below aspirations affects the implementation of GSCM practices (specifically sustainable production [SP] and sustainable sourcing [SS]) through the lens of the behavioral theory of the firm (BTOF), which has received scant attention in the operations management literature.

Design/methodology/approach

The study used data from the sixth round of the International Manufacturing Strategy Survey (IMSS). It employed hierarchical linear regression to test the proposed hypotheses. Moreover, the study tested an alternate model to rule out the possible role of financial performance aspirations in explaining the implementation of SP and SS.

Findings

The results indicate that organizations determine their efforts put into the two GSCM practices according to environmental performance feedback: the greater the aspiration–environmental performance discrepancy, the stronger the efforts put into implementing GSCM practices.

Originality/value

This study contributes to the GSCM literature by revealing the impact of environmental performance aspirations on the implementation of GSCM practices through the lens of the BTOF. It also extends the BTOF by applying it in the GSCM context and indicating that performance feedback is based on environmental performance instead of financial performance in this specific context.

When do 3PLs initiate low-carbon supply chain integration?

Purpose

This paper draws on the perspective of social networks to examine when 3PLs initiate low-carbon supply chain integration (LCSCI) in decarbonising supply chains.

Design/methodology/approach

A questionnaire survey was conducted on a sample of 348 Chinese 3PLs. Stepwise regression was adopted to analyse the data.

Findings

It is found that LCSCI has a positive effect on firm performance. From the social network perspective, a larger scope of outsourcing increases 3PLs' embeddedness, which increases their chance of success in initiating LCSCI, especially for 3PLs with higher decarbonisation capabilities. Interestingly, although the pressure from government regulation can also motivate LCSCI, it is less effective for 3PLs with higher decarbonisation capabilities because they can be too embedded in the network to freely adapt to regulations.

Research limitations/implications

This study has investigated 3PL-initiated LCSCI only from the view of 3PLs. A dyadic approach which includes the perception of customers would be desirable.

Practical implications

The results highlight the critical role of 3PLs as supply chain orchestrators in decarbonising supply chains, and the effectiveness of LCSCI as a competitive strategy of 3PLs. Coercive pressures from government regulations are not constraints but resources for 3PLs in initiating LCSCI, especially in markets where the 3PLs have insufficient decarbonisation capabilities.

Originality/value

This study contributes to theories on 3PLs' interorganizational low-carbon initiatives, LCSCI, and the paradox of social networks in supply chains.