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Drawing on the ability–motivation–opportunity theory applied to the greening of service industries, this paper aims to analyze the extent to which green human resource management plays a role in the adoption of eco-efficiency principles in the financial sector. Environmental knowledge management represents one of the key green human resource management components.

This study conducted a survey with 178 employees working within one of the largest financial banks in Brazil, which has been investing in eco-efficiency for more than ten years.

On the basis of structural equation modelling, this study has provided the following findings: Among all factors taken into consideration in this study, only environmental training positively influences eco-efficiency; training may be suffering owing to barriers associated with empowerment and teamwork; the eco-efficiency program of the studied company would get benefits if it provided more autonomy to employees; and finally, the eco-efficiency program of the studied bank could be more effective if connected with green teams.

To date, this is the first work that relates – with empirical evidence from Brazil – GHRM and eco-efficiency in the financial service industry.

Nowadays, understanding green consumers has become very critical given its implications for marketers to understand and communicate green purchase patterns on the one hand, and to design and strategize both product offerings and customer services on the other hand. The purpose of this paper is to examine the interaction effect of product attributes on the degree of environment concern, the intention of green purchase and a series of green purchase proposed patterns. This paper is built on the theory of planned behavior, and expands it by replacing subjective norms and perceived behavioral control with respectively environmental knowledge and perceived consumer effectiveness, and also by extending purchase behavior to three types of purchase patterns, namely, unconditional purchase, conditional purchase and accidental purchase.

The interaction effect is analyzed through ANOVA, whereas path analysis is used to understand path strengths of proposed model, which is assessed through standardized regression weights and significance through p-value.

Overall, this study reveals the importance of product attributes in the decision-making process of green purchasers.

This study deals with environmental behavior in general, and further research with a focus on specific behaviors is needed in this field investigating the rise of green consumption.

Product attributes play a role in the decision making of consumers willing to buy green products, and both communication and promotion of green products should integrate product attributes accordingly.

Worldwide, consumers are buying more and more green products, and this study leads to a better understanding of the decision-making process of consumers’ green products.

Cloud-based enterprise resource planning (ERP) enables an organization to pay for the services they need and removes the need to maintain information technology infrastructure. The purpose of this paper is to empirically test the role of cloud-based ERP services on the performance of an organization. Here, the performance is categorized as supply chain performance and organizational performance that comprises of financial performance and marketing performance. Contingent resource-based view (RBV) theory was used to develop a theoretical framework in which supply base complexity (SBC) acts as a moderating variable on the relationship between cloud ERP and the performance.

Contingent RBV theory is used to explain the relationship between all identified variables in this paper. Partial least squares (PLS) based on structural equation modeling (SEM) is used to empirically test our theoretical framework.

The PLS-SEM analysis of 154 respondents supports the contingent RBV theory. Six hypotheses – out of the eight hypotheses formulated in this paper – are supported by data.

Given this study was conducted in India where the potential of cloud ERP has not been fully implemented yet, the results may reflect more of perceived usefulness of this technology. The authors have attempted to understand the effect of SBC as a moderator in the relationship between cloud ERP and organizational performance which may not be the only moderator affecting this relationship among other potential moderators.

This paper empirically validates the theoretical framework based on the contingent RBV theory as it mitigates the static nature of the resource-based view approach suggested in the seminal article of Barney (1991).

The purpose of this paper is to examine the influence of mindfulness on organizational role stress (ORS) based on the Monitor Acceptance Theory (MAT) perspective.

This study is based on a cross-sectional data analysis collected from 137 employees working at an Indian IT organization located in Bangalore (India). ORS and MAAS scales have been used for measuring ORS and mindfulness, respectively.

Overall, the study findings have indicated a negative relationship (r = −0.588) between mindfulness (M) and ORS. First, both personal inadequacy (PI) and self-role distance (SRD) are found to be predominantly impacted by M, whereas both role erosion (RE) and role overload (RO) appear to be less affected by mindfulness. Second, SRD appears to be the highest ORS sub-dimension among IT employees. Third, building on the extant literature, it can be inferred that “no one size fits all”, ORS is both organization and context specific.

This study pioneers to establish empirical evidence between M and ORS. Training employees on M can help in effectively handling ORS.

The purpose of this paper is to investigate the impacts of different gray markets’ structures on both supply chain decisions and associated profits.

Within the context of gray markets, using game theory approach in this paper, supply chains have been considered as assets of manufacturers, distributors and speculators, within which manufacturers sell products to distinctive markets either directly or through authorized distributors, while speculators buy products from a lower price market and then sell them in a higher price market. Our study has examined different decision variables within such a framework.

Considering a situation where one manufacturer sells its products either directly in one market (Market 1) or through its authorized distributor (Market 2), due to different products prices in both markets, results have shown that, when market elasticity is less than its critical value, a speculator can sell a gray market product arbitrage in market 2, whereas when the market elasticity is greater than its critical value, a speculator can sell a gray market product arbitrage in market 1. In addition, manufacturers—as leaders of Stackelberg game—are always the most profitable stakeholders within a gray market supply chain.

In this study, equilibrium results for each market have been obtained, optimal results have been compared, and accordingly, valuable insights have been developed. Such results would help managers to take better managerial decisions, as well as strategizing policies in gray markets.

In this paper, we have considered a gray market where both distributors and speculators exist and act as parallel channels. To the best of our knowledge, the extant literature focuses either on distributors or speculators, but never concurrently on both. In fact, the coexistence of one distributor and one speculator in a gray market will impact their own decisions, as well as both decisions and profits of other stakeholders, and hence, will exert an impact on the manufacturer side.

Firms use design capability across the globe to compete and increase sales, e.g. Apple. However, the payoff from design know-how has been overlooked thus far. Academic research lags in this space despite the intersection of sales, technology and design in practice. This paper provides researchers and managers with implications of the interplay between design capability and technological market conditions to enhance a firm's sales.

Firms' capability design, and sales impact have been studied in this paper across different technological market conditions. Primary technological conditions of the industry under which firms operate are captured, which are technological intensity (TI), technological competitive intensity (TCI) and technological maturity (TM). Their interplay has been studied using panel data analysis, examining fixed and random effects.

Design is an important, interesting and non-imitable capacity that yields positive firm execution results. It provides an urgent differentiator and improves deal development. This study found that all four hypotheses are generally supported. The main finding is that, provided underlying technology is good, design significantly improves sales, but design alone cannot substitute for poor technology.

The results of this study link the three technological environment conditions, namely, TI, TCI and TM with sales growth. The authors find that design can and does add to superior performance, provided technological excellence exists prior. But, in the absence of good technology, design alone will hinder performance.

This paper examines the effect of firm design capability on sales growth. The paper finds a positive moderating effect of TCI and TM but a negative moderating effect of TI. The researchers believe these aspects of the design have not been studied before.

Big data and predictive analytics (BDPA) has received great attention in terms of its role in making business decisions. However, current knowledge on BDPA regarding how it might link organizational capabilities and organizational performance (OP) remains unclear. Drawing from the resource-based view, the purpose of this paper is to propose a model to examine how information technology (IT) deployment (i.e. strategic IT flexibility, business–BDPA partnership and business–BDPA alignment) and HR capabilities affect OP through BDPA.

To test the proposed hypotheses, structural equation modeling is applied on survey data collected from 159 Indian firms.

The results show that BDPA diffusion mediates the influence of IT deployment and HR capabilities on OP. In addition, there is a direct effect of IT deployment and HR capabilities on BDPA diffusion, which also has a direct relationship with OP.

Through this study, authors demonstrate that IT deployment and HR capabilities have an indirect impact on OP through BDPA diffusion.

Worldwide, facing increasing resources pressure, more and more manufacturing firms aim to circular economy (CE), which is a system characterized by the application of remanufacturing principles and adoption of sustainable manufacturing practices. The purpose of this paper is to investigate the function of remanufacturing capability in influencing supply chain resilience in supply chain networks under the moderating effects of both flexible orientation and control orientation.

Data were gathered through a survey performed online in South Africa, and 150 participants completed the survey. Participants were mainly industry professionals holding senior administrative positions.

Results indicate that market factors, management factors and technical factors positively influence dynamic remanufacturing capability (DRC). More specifically, on one hand, market factors strongly influence DRC, whereas, on the other hand, both management and technical factors influence at lower level DRC. DRC has a positive influence on supply chain resilience. Flexible orientation is found to positively moderate the effect of DRC on supply chain resilience, whereas control orientation does not exert any moderating effect on DRC and supply chain resilience.

This is one of the first studies that explore research gaps between current vs desired remanufacturing capability requirements to achieve sustainability goals in CE.

The purpose of this paper is to identify potential constraints and determine the constraint structure in a steel manufacturing plant. “Potential constraint” is defined as a factor that is either a constraint at present or can become one in the future and “constraint structure” is used to denote the network of influences between the potential constraints in an organization.

A three-step methodology was followed. First, potential constraints in a steel manufacturing plant were identified with a literature review and expert inputs. Then, the fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) technique was applied to uncover the structure and finally, an ex-post validation and refinement of the results was done with help from other experts.

A total of 10 key potential constraints to steel manufacturing were identified. The two outputs of fuzzy DEMATEL – the influence scatter plot (ISP) and the influence network diagram (IND) – together reveal the constraint structure. The 10 potential constraints could be classified into three types – influencers, mediators and influenced – respectively. Of these “Top management commitment (TMC)” and “Clear vision and long-term planning (CLP)” influence other factors the most, and are themselves influenced the least; while “Customer Relationship Management (CRM)” is most influenced by other factors, while influencing other factors the least.

Potential constraints and the constraint structure can help decision makers in a steel manufacturing plant to identify which organizational factors to address and achieving the plant's goals.

This is the first study that analyzed organizational level constraints in a steel manufacturing context.