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Brand effect is an important source of innovation performance, but rarely any study in the past has paid attention to explore the way firm innovation activities transform into brand effect. The purpose of this paper is to investigate how firm innovation activities transform into brand effect.

A set of hypothesis has been developed to show the relationships among firm innovation activities, brand prototype, brand preference and brand recommendation. The online survey method was used for data collection. In total, 546 valid questionnaires were retrieved. The study used confirmatory factor analysis and structural equation modeling technique to test the hypothesis.

Results indicate that brand prototype leads the process of cognitive processing from innovation activities’ perception to brand preference and recommendation. The consumer perception of process innovation, marketing innovation, product innovation and the store environment have direct impact on brand prototype that further influences product sophistication, brand preference and brand recommendation. But, the most powerful influence is on brand preference. Moreover, product sophistication–attribute-specific brand knowledge has direct impact on brand preference and indirect impact on the brand recommendation. The whole process from brand prototype to brand preference and brand recommendation mainly reflects the strength of the brand effect formation.

This study provides useful managerial insights so that firms can learn the way to maximize brand effect through the management of innovation perception and cultivation of innovation soft capability to enhance innovation performance.

This study unfolds the transformation of firm innovation activities into brand effect that provides a new theoretical explanation and a holistic framework for the source of innovation performance.

The purpose of this paper is to design a game theory based model that not only provide theoretical basis to control brand counterfeiting, but it also provide a mechanism to enhance brand revenue.

This study used the dynamic game theory of incomplete information to understand and encounter the brand counterfeiting issues. The study analyzed the economic relationship of legitimate brand, counterfeiter and consumers using mixed strategy of the dynamic game theory of incomplete information.

The results have indicated that brands those take countermeasures to reduce counterfeiting earn maximum revenue, even when the legitimate brands and consumers are unaware from the actions of counterfeiting firms, the legitimate brands should take countermeasures to reduce counterfeiting to earn maximum revenue, and there exists optimal anti-counterfeiting cost for the legitimate brand. Further, this study provides theoretical basis where brand managers can decide to adopt or not to adopt anti-counterfeiting strategy, and also indicate the consequences of each decision.

Based upon the findings, the study put forward valuable managerial implications. The study revealed that the legitimate brand must emphasize on the significance of taking countermeasures against counterfeiter and also, brand managers should focus on making product traceable, empowering the consumer and ensuring coordination with government officials to control the counterfeiting issues.

This paper incorporates the role of legitimate brand, counterfeiter and a consumer to establish the dynamic game theory model using mixed strategy to understand and address the counterfeiting issues in the global market.

The sustainable development of the energy–economy–environment (3E) needs to ensure the balanced interplay between the energy–economy and the environment. Likewise, creating such balance has become a critical policy issue among countries worldwide. However, in the past, studies have ignored to create a balanced interplay of the energy–economy and environment. Therefore, to address said research gap, this paper aims to develop a graph model for conflict resolution (GMCR)-based strategy for the sustainable development of the 3E to ensure better environmental quality.

To develop a strategic framework for the balanced interplay between the energy–economy and the environment, the study used the GMCR approach and designed a mechanism for the sustainable development of the 3E to ensure better environmental quality in the context of Pakistan.

The results from the GMCR indicate that sustainable development of the 3E to ensure better environmental quality is possible when government focuses on the sustainable growth of the economy through environmental policies and the use of renewable energy.

By solving the 3E conflict, this study provides policy insights for the government of Pakistan for the sustainable development of the energy economy and the environment to ensure better environmental quality in the country.

For the first time, this paper tried to put forward a way through which conflicting objectives can be achieved together for the sustainable development of the 3E to ensure better environmental quality.

The purpose of this study is to explore the role of environmental awareness, environmental concerns, and green innovation toward green purchase intentions. This paper theoretically extends the existing knowledge on the subject matter and adds value to the existing knowledge.

Based upon the existing literature and relevant theories the study developed several assumptions/hypotheses. To test the hypothesis, a comprehensive data set that was collected through online survey method was utilized. For the empirical analysis the study employed structural equation modeling technique.

The results from the study indicated that environmental awareness significantly reinforce green purchase intentions. Whereas, the authors could not find evidence for the direct influence of green innovation on green purchase intentions. The analysis show, green product knowledge and environmental concerns partially mediate the relationship among environmental awareness and green purchase intentions. However, green product knowledge and environmental concerns fully mediate the relationship among green innovation and green purchase intentions.

The study measures the role of green innovation, environmental awareness, environmental concerns, and green product knowledge toward green purchase intentions which is pivotal for sustainable consumption. Similarly, the study adds value to the existing research on the management of environmental awareness and protection through reinforcing green purchases.

The purpose of this paper is to investigate the role of business analytics and environmental orientation toward green innovation and green competitive advantage. In addition, the study aims to explore the mediating role of green innovation in the impact of business analytics and environmental orientation on green competitive advantage.

Based upon the theoretical analysis of existing literature, several hypotheses have been developed. Data was gathered using a survey method. The survey was conducted using online portal, 388 valid responses have been processed using SPSS 23.0 and AMOS 23.0 for empirical analysis. Two steps were used, first reliability and validity have been measured. Following this, the authors employed structural equation modeling technique to test hypothetical relationships.

The results from the authors’ empirical analysis indicate that business analytics and environmental orientation have a pivotal role toward green innovation as well as green competitive advantage. If the results are seen comparatively, then it can be indicated that the role of business analytics is more powerful compared with the environmental orientation. Although environmental orientation is a key factor of green innovation, but its direct role toward green competitive advantage is not so strong. Similarly, to check the other mechanisms, the role of green innovation as a mediator was explored. Empirical findings have established the mediating role of green innovation in the influence of business analytics and environmental orientation on green competitive advantage. Thus, the results confirm a mechanism of green innovation in the impact of business analytics and environmental orientation on green competitive advantage.

The study captures the attention of decision-makers and highlights that business leaders need to emphasize on business analytics while making managerial decisions related to green innovation and green competitive advantage.

For the first time, this study explored the role of business analytics and environmental orientation together toward green innovation and green competitive advantage. The study adds value to the existing literature and opens new avenues for scholarly research in the area of managerial decision-making.

Big data capabilities have the potential to completely transform conventional methods of doing business. Nevertheless, the role of big data capabilities in fostering green marketing capabilities and improving green competitive advantage is still not fully understood. To add new knowledge, this paper aims to propose a moderated mediation model to strengthen green competitive advantage in a big data environment. The model introduces both the mediating role of green marketing capabilities and the moderating role of big data capabilities. We developed and empirically tested a moderated mediation model.

In this study, we have adopted a survey-based methodology. The study collected data from 337 managers and empirically analyzed it to test the theoretical model of moderated mediation. We employed structural equation modeling for empirical analysis.

The findings revealed that organizational learning improves green marketing capabilities, whereas the relationship between organizational learning and green competitive advantage is insignificant. The mediating role of green marketing capabilities in the relationship between organizational learning and green competitive advantage was statistically significant, indicating that green marketing capabilities serve as a bridge between organizational learning and green competitive advantage. Big data capabilities moderate the relationship between organizational learning and green marketing capabilities. The moderated mediation was also significant, highlighting that big data capabilities further strengthen the indirect effects of organizational learning on green competitive advantage via green marketing capabilities.

This paper delivers theoretical and practical understandings of the importance of organizational learning and big data capabilities. Similarly, it extends current knowledge and provides key insights for managerial decision-making.

Understanding the role of corporate strategies in sustainability has become a hot topic for scholarly research. Meanwhile, firms strive to innovate and shape their positive image in the contemporary business arena. Past research has ignored investigating whether and how sustainability-oriented corporate strategies could drive innovation and firm image among external stakeholders. To address the said research gap, this paper examines the path through which sustainability-oriented corporate strategy and environmental regulation improve green corporate image and green innovation capabilities (i.e. green process and product innovation).

This study adopted a quantitative survey-based method. The online survey was adopted to collect data from employees working at the managerial level in the equipment manufacturing sector. The data collected from 343 managers that was complete in all aspects was used for empirical analysis using structural equation modeling. Direct and indirect relations were evaluated.

The findings reveal that sustainability-oriented corporate strategy and environmental regulation drive green innovation and green corporate image. Findings further show that external knowledge adoption underpins these effects of sustainability-oriented corporate strategy and environmental regulation.

The study delivers theoretical and practical understandings of the importance of sustainability-oriented corporate strategies to green corporate image and green innovation capabilities.

The aim of the present paper is to investigate the homogeneous and heterogeneous reactions on Prandtl fluid flow at a stretching sheet with an induced magnetic field and slip boundary conditions.

The governing equations include the continuity, induced magnetic field, momentum, energy and homogeneous–heterogeneous equations. Initially, with suitable similarity variables, the governing partial differential equations and converted into a system of ordinary differential equations. Then, the nonlinear ordinary differential equations are solved by a shooting technique with the help of the BVC5C Matlab package.

The results of the present investigation are presented through graphs for different values of the various parameters. The authors observed that the large values of the stretching ratio and the induced magnetic parameters are moderate magnetic field, velocity and temperature primarily. Also, the authors found the more velocity and temperatures by boosting the slip parameters.

In addition, the values of the skin friction and the rate of heat transfer for various values of physical parameters are tabulated and deliberated in detail.

This work aims to concentrate on the mixed convection of the stagnation point flow of ternary hybrid nanofluids towards vertical Riga plate. Aluminum trioxide (Al₂O₃), silicon dioxide (SiO₂) and titanium dioxide (TiO₂) are regarded as nanoparticles, with water serving as the base fluid. The mathematical model incorporates momentum boundary layer and energy equations. The Grinberg term for the viscous dissipation and the wall parallel Lorentz force coming from the Riga plate are taken into consideration in the context of the energy equation.

Through the use of appropriate nonsimilar transformations, the governing system is transformed into nonlinear nondimensional partial differential equations (PDEs). The numerical method bvp4c (built-in package for MATLAB) is used in this study to simulate governing equations using the local non-similarity (LNS) approach up to the second truncation level.

Numerous graphs and numerical tables expound on the physical properties of the nanofluid temperature and velocity profiles. The local Nusselt correlations and the drag coefficient for pertinent parameters have been computed in tabular form. Additionally, the temperature profile drops while the velocity profile increases when the mixed convection parameter is included to oppose the flow.

The fundamental goal of this work is to comprehend how ternary nanofluids move towards a vertical Riga plate in a mixed convective domain with stagnation point flow.