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The flammability of poly-acrylate (PA) resin is a major disadvantage in applications that require flame resistance. Many studies, including the authors’ previous study, have proved that covalent-incorporated phosphorous-containing (P-containing) monomer onto the PA resin can exhibit better flame resistance than that by an additive approach. However, other properties such as thermal stability, coating properties are still deteriorated. To further improve the flame-retardancy and other comprehensive properties of the P-containing PA resin, in this study, melamine formaldehyde(MF) resin was used not only as a curing agent to enhance the coating properties of the PA resin, but also as a nitrogen-containing (N-containing) resin to form a P-N synergistic effect and therefore further improve its flame retardancy.

Epoxy resin phosphorous acid-modified (EPPA-modified) PA (EPPA-PA) resin was first prepared and then using MF resin as curing agent. The flame retardancy of the cured resin was tested by the limiting oxygen index (LOI) and UL 94 methods. The thermal stability of the cured resin was studied by TGA. The coating technology such as adhesion property, pencil hardness and anti-solvent properties were characterized according to methods of International Standards ISO2409-1992, ISO 15184-1998 and ISO-15184-2012, respectively. The micro-char morphology of the char residue was observed by SEM.

The results showed that by using MF resin as curing agent has provided the PA resin with excellent coating properties and thermal stability, but also gave a P-N synergistic effect which has greatly enhanced the flame retardancy of the cured resin. The cured resin system containing only 1.7 Wt.% P content and 5.3 Wt.% N content can reach a LOI of 26.9 per cent and pass the V-0 rating in the UL-94 test.

This resin system releases formaldehyde due to the MF resin.

It is expected that the large-scale production of this EPPA-PA resin cured by MF resin system will enable practical industrial applications.

This method for the synthesis of a P- and N-containing PA resin system is newfangled.

In the data-driven era, the quality of the data exchanged between suppliers and buyer can enhance the buyer’s ability to appropriately cope with the risks and uncertainties associated with raw material purchasing. This paper aims to address the issue of supplier selection and purchasing planning considering the quality of data by benefiting from suppliers’ synergistic effects.

An approach is proposed to measure data visibility’s total value using a multi-stage algorithm. A multi-objective mathematical optimization model is then developed to determine the optimal integrated purchasing plan in a multi-product setting under risk. The model contemplates three essential objective functions, i.e. maximizing total data quality and quantity level, minimizing purchasing risks and minimizing total costs.

With emerging competitive areas, in the presence of industry 4.0, internet of things and big data, high data quality can improve the process of supply chain decision-making. This paper supports the managers for the procurement planning of modern organizations under risk and thus provides an in-depth understanding for the enterprises having the readiness for industry 4.0 transformation.

Various data quality attributes are comprehensively subjected to deeper analysis. An applicable procedure is proposed to determine the total value of data quality and quantity required for supplier selection. Besides, a novel multi-objective optimization model is developed to determine the purchasing plan under risk.

The cotton and its blends is the most commonly used textile material in the design and production of protective clothing. However, as the cellulose textiles are the most flammable materials it is necessary to improve its flame retardancy. The government regulations have been the driving force for developing durable flame retardants finishes for textile, to improve its performance and to reduce the negative impact on the environment. The paper aims to discuss these issues.

This paper investigates the effect of silica precursor (tetraethoxysilane – TEOS) added in bath with conventional flame retardant urea/ammonium polyphosphate in full and half concentration for achieving environmental-friendly cotton flame retardancy. Silica precursors have excellent thermal stability and high heat resistance with very limited release of toxic gases during the thermal decomposition. Synergistic effect between urea/ammonium polyphosphate and TEOS has been calculated. Thermal properties of treated cotton fabrics were determined by limiting oxygen index (LOI), thermogravimetric analysis (TGA) and microscale combustion calorimeter (MCC).

TEOS, significantly improves the flame retardancy of cotton when added in the bath with conventional flame retardants urea/ammonium polyphosphate by increasing the LOI values and other thermal properties as increasing char residue measured by TGA and higher heat release rate measured by MCC.

This paper represent a good synergistic effect between urea/ammonium polyphosphate and TEOS. This phenomena is evident in better thermal properties when TEOS was added in the bath with conventional flame retardant especially for half concentration of urea/ammonium polyphosphate.

The purpose of this study is to develop a theoretical model that posits locomotion-assessment ambidextrous orientation as predictor of salesperson acquisition–retention ambidexterity, which as a consequence increases sales. The authors drawing on regulatory focus theory and self-regulatory for this propose.

Salespeople involved in the study represent different firms selling a wide variety of food and household products to a wholesaler, which resells them to supermarket chains. The authors collected data from 231 industrial salespeople.

First, salesperson assessment focus amplified locomotion’s effect on acquisition–retention ambidexterity. Second, salespeople increased their performance by implementing an acquisition–retention ambidextrous orientation that balances prospecting for new customers and growing existing customers. Third, findings revealed a mediating effect of ambidextrous orientation on the relationship between regulatory mode and sales performance. Finally, outcomes supported the conditional moderated-mediated effect of regulatory mode in explaining performance through ambidextrous orientation.

Results suggest that salespeople need to equalize their dual orientations in a complementary way to elaborate their selling strategies according to each customer. For example, in an unbalanced orientation, putting high levels of assessment into a sales encounter can reduce the effective and efficient use of time in interacting with customers.

The authors further illustrate the importance of using both locomotion and assessment in attaining sales goals (Pierro et al. 2013). This synergistic effect is known as the complementary hypothesis (Pierro et al., 2006a, 2006b). Each dimension complements the other and has a moderated-mediated effect on performance through acquisition–retention ambidexterity.

This study explores how firms develop innovation ecosystems through forming alliances with suppliers and the effects on innovation, economics and consumer welfare.

This study develops two game theory models to compare supply chain structures with and without ecosystem alignment. (1) A single supplier provides components to two competing manufacturers (one innovative and one non-innovative). (2) An innovative manufacturer (focal firm) aligns with a supplier that also supplies components to a competing manufacturer.

An ecosystem construction strategy that alliances use to reconfigure coopetitive relationships and ecosystem alignment is identified. A manufacturer aligning with a supplier will strengthen the monopoly of the alignment, which is beneficial to both Allies but always harmful to the competitor. Interestingly, such an ecosystem construction strategy may be beneficial to future innovation, the industry and consumers.

The findings raise several topics that warrant further exploration. For example, scenarios with multiple suppliers were not considered. Furthermore, the implementation of regulatory measures to mitigate the harmful effects of alignment on innovation should be investigated.

This paper provides a guide for enterprises seeking alignment and to the corresponding measures required to stimulate innovation within ecosystems. What’s more, the aligned firm should not always attempt to win the race but should instead take measures to encourage the competitor to share demand information.

Firstly, most research on supply chain management has focused on its economic impacts. There is a lack of research on the influence of ecosystem alignment on the innovation incentives of firms. Furthermore, the literature still lacks evidence of how ecosystem construction strategies can increase consumer welfare. In the present study, the authors model a complex market structure that includes a competitor, which is becoming increasingly common in high-tech markets. Thirdly, this paper is one of the few that examines the impacts of market-structure changes on innovation incentives. Most importantly, this study extends the current literature by studying coopetition in the ecosystem context.

This study aims to explore the unique and synergistic effects of green human resource management (GHRM) and corporate environmental ethics (CEE) on the environmental performance (EP) of manufacturing small and medium-sized enterprises (SMEs) in Yemen, a less developed country (LDC).

Through a cross-sectional survey design, data were collected from 262 manufacturing SMEs in Yemen and analyzed using “hierarchical regression analysis” via PROCESS Macro.

The empirical results showed that GHRM and CEE positively affect EP and, more importantly, that CEE and GHRM have a synergistic effect on EP.

This study makes a theoretical contribution by integrating GHRM, CEE and EP into a single framework, taking into account the perspectives of the resource-based view and the ethical theory of organizing. The results corroborate the unique and synergistic effects of GHRM and CEE on EP of SMEs in the manufacturing sector.

The results of this study offer valuable insights for SME managers/decision-makers, who are anticipated to become more interested in integrating environmental ethics into their companies. This has implications that with the consideration of CEE, SMEs can benefit from GHRM practices to improve their EP.

The study highlights the positive economic and social impact of SMEs adopting eco-friendly practices like GRHM. In today’s economy, it is not sufficient to simply strive for economic growth. It is possible for SMEs to achieve well-rounded performance by implementing the recommended framework that emphasizes the importance of social and environmental well-being.

This study advances the existing work on the impact of GHRM on EP by demonstrating the crucial role of CEE in predicting EP of manufacturing SMEs in LDCs like Yemen. Previous research on GHRM has mainly been conducted on SMEs in developed nations, which may not be entirely applicable to LDCs. It is crucial to understand this aspect in the context of LDCs so that SMEs can adopt environmental practices effectively in the future: how SMEs conserve the environment through their environmental practices.

To study these issues, the authors chose a GFSC with one producer and one material supplier as research object, the supplier will offer green material to the producer and the producer will make green food using green production technology. Then, the authors proposed that consumers' perceived value was determined by the trustworthiness levels of the related green and quality-safety information provided by the supplier and the producer. Then, considering the trustworthiness levels of the green and quality information provided by the supplier and the producer, the authors improved the demand function. Afterwards, we constructed four investment models and their income models are built and then a cost-sharing and revenue-sharing contract (hereafter, CSRS) was adopted to coordinate the GFSC.

With the growth of consumers environmental awareness and life level, consumers' requirements for green and high quality food are growing. In recently years, to increase consumers' perceived trustworthiness on the product greenness and quality levels, stakeholders in green food supply chain (hereafter, GFSC) start to adopt the blockchain-based traceability system (hereafter, BLTS). For investors, they need to know the investment conditions and how to coordinate the GFSC.

(1) When the revenue-sharing coefficient is less than three-fourths and higher then a certain vaule, the cost-sharing and revenue-sharing contract can make the GFSC coordinate. (2) The investment cost threshold of the BLTS has a positive relationship with the trustworthiness improvement levels of the green and quality information, the green degree of food products and the quality of food products. (3) In the proposed four investment situations, as the growth of consumers perceived credibility coefficient about the greenness information and the quality information, chain members' revenues will increase. In addition, comparing with co-investing the BLTS, benefits of chain members are lower than them in the sole investment model.

(1) The demand function we proposed can help chain members forecast market demand to support production or ordering decisions. (2) The investment decision policies can offer a theoretical reference for chain members to use the BLTS. (3) The CSRS will offer the theoretical reference for coordinating the supply chain after using the BLTS. Furthermore, our study method can be referenced by other scholars. (4) The study method can offer a method reference for researchers who do a similar discussion in a manufacturing supply chain. Although, our research cannot guide the industrial practices, it can serve as a reference of the similar research in industry.

This paper aims to examine the effect of Dufour and Soret diffusions on Al₂O₃-water nanofluid flow over a moving thin needle by using the Tiwari and Das model.

The governing equations are reduced to the similarity equations using similarity transformations. The resulting equations are programmed in Matlab software through the bvp4c solver to obtain their solutions. The features of the skin friction, heat transfer and mass transfer coefficients, as well as the velocity, temperature and concentration profiles for different values of the physical parameters, are analysed and discussed.

The non-uniqueness of the solutions is observed for a certain range of the physical parameters. The authors also notice that the bifurcation of the solutions occurs in which the needle moves toward the origin (λ < 0). It is discovered that the first branch solutions of the skin friction coefficient and the heat transfer coefficients increase, but the mass transfer coefficient decreases in the presence of nanoparticle. Additionally, the simultaneous effect of Dufour and Soret diffusions tends to enhance the heat transfer coefficient; however, dual behaviours are observed for the mass transfer coefficient. Further analysis shows that between the two solutions, only one of them is stable and thus physically reliable in the long run.

The problem of Al₂O₃-water nanofluid flow over a moving thin needle with Dufour and Soret effects are the important originality of the present study. Besides, the temporal stability of the dual solutions is examined for time.

The inhibition effects of sodium silicate and polyphosphate on corrosion of carbon steel in a potable water supply have been studied using weight loss, electrochemical impedance and Tafel polarization measurements. In the water supply under test there were sufficient calcium ions, (220 ppm), to form the normal polyphosphates salts, which is a requisite for good protection. It was concluded that the inhibition efficiency of polyphosphate was higher than that of silicate. The synergistic inhibition effects of polyphosphate on the inhibition of silicate were studied. The results illustrated that silicates and polyphosphates can be useful as corrosion inhibitors for reducing the corrosion of carbon steel in potable water supply distribution systems. The optimal concentration for silicate alone was determined to be 11 ppm and for polyphosphate alone was 8 ppm. The optimum ratio of concentration for sodium silicate to sodium polyphosphate was 4 : 3.

Based on commitment system theory and commitment-trust theory, this study aims to reveal the effects of participating teams’ multiple commitments (i.e. synergistic commitments and conflicting commitments) on the performance of open innovation projects through the mediating role of trusted knowledge interaction and vigilant knowledge interaction.

Primary survey data collected from 242 respondents of 47 open innovation projects in the manufacturing industry was used to test eight hypotheses. Correlations between multiple commitments, knowledge interaction and the performance of open innovation projects were investigated.

The findings reveal that synergistic commitments improve the performance of open innovation projects through enhancing trusted knowledge interaction. Synergistic commitments reduce the level of vigilant knowledge interaction, and the performance of open innovation projects follows an inverted U-shaped relationship with vigilant knowledge interaction. Conflicting commitments negatively moderate the effect of synergistic commitments on trusted knowledge interaction and vigilant knowledge interaction.

The authors extend commitment system theory and commitment-trust theory to open innovation project field. The findings bridge the gaps in isolated and static focus in previous commitment literatures and innovation management literatures, and provide practical guidance for how to better manage the dynamic combination of multiple commitments and knowledge interaction among participating teams in open innovation projects.