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Green product innovation is a global industrial concern. This research examines the possible impact of green product innovation on firms' competitive advantage in industrial enterprises operating in qualified industrial zones (QIZs).

This research follows a descriptive analytical methodology, testing two hypotheses formulated based on the reviewed literature among chemical industrial plants of the three Jordanian QIZs (Amman, Zarqa and Irbid) in Jordan. Following a preliminary scoping study of all 219 Jordanian chemical manufacturers, a quantitative five-point Likert scale questionnaire was administered to firms applying green product activities.

In total, 20 firms were found to be utilizing green product innovation, representing only 9.13% of the overall population. The hypothesis testing results indicated that green product innovation has a statistically significant positive impact on competitive advantage. The results also showed that the factor “firm resources” has a statistically significant positive moderation effect on the relationship between green product innovation and competitive advantage.

The vast majority of Jordanian chemical manufacturers were not implementing green innovation or practices; further study is needed to identify barriers. Findings are limited to managers of chemical industrial plants in Jordan, excluding the demand side (e.g. plant customers who purchase final products), which leaves a different research angle to be explored.

This is a pioneering study of green product innovation implications for firm competitive advantage in manufacturing enterprises, especially in QIZs of Jordan (which offer tax exemptions to foreign and local investors and sell products to regional and international markets).

Eco-innovation is any form of product, process or organisational innovation that contributes towards sustainable development. Firms can eco-innovate in a variety of ways. The purpose of this paper is to identify nine different eco-innovation activities – including such items as reducing material use per unit of output, reducing energy use per unit of output, reducing carbon dioxide (CO₂) “footprint” – and the authors ask whether these act as substitutes or complements to one another.

Eco-innovation is any form of product, process or organisational innovation that contributes towards sustainable development. Firms can eco-innovate in a variety of ways. In this paper the authors identify nine different eco-innovation activities – including such items as reducing material use per unit of output, reducing energy use per unit of output, reducing CO₂ “footprint” – and the authors ask whether these act as substitutes or complements to one another.

Introducing only one eco-innovation activity has little payoff (in terms of turnover per worker) with only those firms who reduce their CO₂ “footprint” having higher levels of turnover per worker. When introducing more than one eco-innovation activity the authors find that certain eco-innovation activities complement one another (e.g. reducing material use within the firm at the same time as improving the ability to recycle the product after use) others act as substitutes (e.g. reducing material use within the firm at the same time as recycling waste, water or materials within the firm).

The results suggest that firms can maximise their productive capacity by considering specific combinations of eco-innovation. This suggests that firms should plan to introduce eco-innovation which act as complements, thereby, boosting productivity. It also suggests that eco-innovation stimuli, introduced by policy makers, should be targeted at complementary eco-innovations.

The paper analyses whether eco-innovations act as complements or substitutes. While a number of studies have analysed the importance of eco-innovation for firm performance, few have assessed the extent to which diverse types of eco-innovation interact with each other to complement or substitute for one another.

The purpose of this paper is to study the usefulness of neural network to explain the gap between behavior intention and actual behavior in the consumption of green products. The paper draws the base from theory of planned behavior (TPB) and social dilemma theory.

Artificial neural networks were used to analyze the data. A survey instrument was developed to understand the behavior pattern of customers while purchasing energy-efficient products. The outputs and input variables were identified and the input variables were divided into binary and discreet inputs.

The research attempts to identify the factors that drive as well as avoid green consumerism. It also details the measures that can be adapted to address the social dilemma of green consumerism. In general the paper identifies with the literature in eliciting that environmental consciousness does not drive green consumerism.

The results of the study have important implications for practitioners as well as researchers. It is observed that neural network also provides inconclusive evidence for the intention behavior gap. This can be further explored by identifying different elements of environment consciousness and further testing.

Marketers need to have strategies interwoven with traditional influencers to promote their green offerings. The consumers expect a clear and measurable benefit to the green offerings that the marketers are marketing.

The research has its conceptual base in the TPB and social dilemma theory to understand the drivers of purchase behavior while evaluating an electronic product available in both energy efficient non-energy efficient rating scenario.

The thermoplastic polymers do not decompose easily due to the presence of long-chain stable polymeric structure, and thus, causes serious effects on the environment. Recycling of these polymer wastes becomes the only solution to minimize their adverse effects on the environment. The purpose of this study was to explore the feasibility of using recycled thermoplastic material as filament for fused deposition modeling technique.

In this study, the researchers fabricated fused filaments (in-house) for fused deposition modeling (FDM) technique of additive manufacturing from secondary recycled acrylonitrile butadiene styrene (ABS) by using a twin-screw extruder. After measuring the melt flow index of the secondary recycled ABS, the twin-screw extrusion parameters (rpm/speed of the screw, extrusion temperature and load) were varied to predict their influence on the various properties (rheological/mechanical/thermal) of the fabricated filaments. Experimental work was executed as per Taguchi’s L9 orthogonal array.

Thermal analysis performed to estimate the heat carrying capacity of recycled ABS highlighted that the heat capacity of ABS increases significantly from 0.28 J/g to 3.94 J/g during the heating cycle. The maximum value of peak strength and percentage break elongation for the fused filaments was investigated at 12.5 kg load, 2,250 C extrusion temperature and 70 rpm speed.

The filaments fabricated by recycling the polymeric waste has been successfully used in the FDM machine for the preparation of the three-dimensional printed tensile specimen.

This study aims to demonstrate for the first time that the cheap, commodity polymer, poly(propylene), can be successfully processed using high speed sintering, and that it can be recycled several times through the process, with little to no detriment to either the polymer itself or the parts obtained. This is significant as a step towards the realisation of high speed sintering as a technology for high-volume manufacturing.

A poly(propylene) powder designed for laser sintering was used to build parts on a high speed sintering machine. The unsintered powder was then collected and reused. Repeating this process allowed creation of seven generations of aged powder. A variety of characterisation techniques were then used to measure polymer, powder and part properties for each generation to discern any effects arising from ageing in the machine.

It was found that poly(propylene) could be used successfully in high speed sintering, albeit with a low build success rate. Increased powder age was found to correlate to an increase in the build success rate, changes in microscopic and bulk powder properties and improvement to the dimensional accuracy of the parts obtained. By contrast, no discernible correlations were seen between powder age and polymer molecular weight, or between powder age and the tensile properties of parts.

This is the first report of the use of poly(propylene) in high speed sintering. It is also first study regarding powder recyclability in high speed sintering, both in general and using poly(propylene) specifically.

The purpose of this paper is to determine which criteria should be taken into account while choosing face masks for pandemic times and to what extent their effects are.

Nine face mask alternatives were evaluated based on the assessments of their performance with respect to twelve attributes. Seven experts were asked to evaluate the mask alternatives and the influences among attributes. In gathering expert judgments, spherical fuzzy number-based linguistic terms were utilized in the study to provide a more comprehensive representation domain to them.

According to the results, the most important attributes are found as material type, cost and bacteria–virus protection level. The best face mask is N95, which is followed by respirators and surgical masks.

The implication of the research is to evaluate face masks in terms of criteria such as physical, performance, protection and cost to decide on what basis they were selected as a personal protective equipment (PPE) based on expert assessments. This is useful in selection of the right face mask with optimum performance and provides guidance to the general public and profession specific groups for this purpose. The face mask companies might be also benefitted from the implications of the present study in their design and research and development (R&D) operations.

The preference ranking of the face mask alternatives has not been studied in detail yet in the literature. Focusing on this issue, the present study provides a comprehensive assessment of the selection criteria of face masks in the pandemic era.

The essential investments in new product development (NPD) made by industrial companies entail effective management of NPD activities. In this context, performance measurement is one of the means that can be employed in the pursuit of effectiveness.

This paper aims to highlight the importance of the design for disassembly (DFD) concept and to consider the key DFD principles.

This paper first considers the motivations for applying DFD. It then identifies and discusses the key DFD principles.

This paper shows that legislation and consumer pressure are driving product recycling and that DFD is a critical enabling technology. It shows that a series of simple design rules concerning product architecture, materials and fasteners can be used to implement DFD. It highlights the benefits arising from this strategy which include compliance with legislation and reduced component counts and material inventories.

This paper provides an insight into the motivations behind the use of DFD and describes the techniques used in its implementation.

This paper discusses some exploratory evidence from operations management literature and several analytic models currently evaluated in environmentally conscious business practices. We propose that the process of environmentally conscious business practice should be studied as a multi‐dimensional issue, recognizing an analytical dimension of strategy and decision procedure, but also a behavioral dimension addressing corporate culture, perceptions and motivation, and an organizational dimension concerned with regulatory environment and supply chain management. The focus of attention in dynamic view of assessment of environmentally conscious business practices moves from structures to processes. These exploratory discussions suggested a number of areas for further investigation, linked by a focus on the process of environmentally conscious business practices and its use of management, rather than on purely technical issues of management and data analysis.