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Data-driven marketing is replacing conventional marketing strategies. The modern marketing strategy is based on insights derived from customer behavior information gathered from their facial expressions and neuro-signals. This study explores the potential for face recognition and neuro-marketing in modern-day marketing.

The study conducts an in-depth examination of the extant literature on neuro-marketing and facial recognition marketing. The articles for review are downloaded from the Scopus database, and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) is then used to screen and choose the relevant papers. The systematic literature review method is applied to conduct the study.

An extensive review of the literature reveals that the domains of neuro-marketing and face recognition marketing remain understudied. The authors’ review of selected papers delivers five neuro-marketing and facial recognition marketing themes that are essential to modern marketing concepts.

Neuro-marketing and facial recognition marketing are artificial intelligence (AI)-enabled marketing techniques that assist in gaining cognitive insights into human behavior. The findings would be of use to managers in designing marketing strategies to enhance their marketing approach and boost conversion rates.

The uniqueness of this study lies in that it provides an updated review on neuro-marketing and face recognition marketing.

While strategic alliances is a concept increasingly discussed in the field of sustainable supply chain management (SSCM), an emerging and more crucial concept regarding alliances—namely, the alliance portfolio—is mostly ignored in the SSCM context. Mainly drawing on the categorisation–elaboration model (CEM), this research develops a three-layer model to explore the effects of three alliance portfolio diversity facets on the three triple-bottom-line SSCM performances through the mediation of sustainability collaboration.

The field data are collected from 321 Vietnamese manufacturers. Scale accuracy is assessed through the confirmatory factor analysis method. Hierarchical linear regressions are applied to test the proposed model and hypotheses.

Partner, governance, and functional alliance portfolio diversities have a U-shaped, inverted U-shaped, and positive linear effect, respectively, on sustainability collaboration. Sustainability collaboration is in turn found to enhance the SSCM performances in terms of economic, environmental, and social.

This research introduced a new theoretical lens, CEM, to the SSCM field. It also provided findings that can help firms to manage their alliance portfolios more dynamically in terms of the nature and diversity level of the portfolio and in a way that adds to the triple bottom line through the mediating effect of sustainability collaboration.

Recent research on the energy system highlights the need for understanding the bandwidth of drivers and inhibitors of household investor's behaviour in rooftop PV (or photovoltaic power system) and to fit the broader socio-economic context in which they are deployed. However, apart from few exceptions, these newer perspectives have not been duly applied in the research on rooftop PV. This paper aims to fill this gap and to shed new light on rooftop PV investment decisions.

This study has been conducted with the primary data collected using two data sets of 237 households and 387 households of Indian southern state Kerala using survey-based questionnaire. The findings from first data set revealed that households considering the adoption of PV were likely influenced by six distinct factors, three motivators and three inhibitors. Second data set for multi-state analytic approach was proposed whereby the research model was tested using structural equation modelling (SEM). The outcomes of SEM were used as inputs for an artificial neural network (ANN) model for forecasting investor investment decision in in renewables. The ANN model was also used to rank the relative influence of significant predictors obtained from SEM.

In line with the risk–return framework, government subsidies act as primary motivator which helps in overcoming the initial risk of investment in the new technology. Further, low prices and low cost of maintenance are some of the financial motivators which may likely mitigate the long-term apprehension of returns and maintenance cost. Lastly, the strongest motivators of PV investment come from the environmental and financial motivator in the form of PV subsidies, which further solidifies the role of policy interventions in investment decision. The ANN model identified the technical barrier and knowledge and awareness factors play a significant role in forcasting the investor investing decision.

The study results will be useful for policymakers for framing strategies to attract and influence their investment in renewable energy.

Building upon behavioural finance and institutional theory, this paper posits that, in addition to a rational evaluation of the economics of the investment opportunities, various non-financial factors affect the household's decision to invest in renewables.

This chapter explains the role and potential of colour and lighting as two important elements of the service atmosphere in tourism and hospitality service encounters. The chapter first explains the importance of colour and lighting in services from the perspective of customers’ sensory perceptions. Then, the chapter provides examples to demonstrate how psychological/neuro-marketing tools of Eye Tracker and Facial Recognition, Galvanic Skin Response (GSR) and Heart Rate (HR) can be used to understand the role of colour and lighting in customer satisfaction in tourism and hospitality service encounters. Based on this perspective, the study offers recommendations to design service environments in terms of colour and lighting.

This study aims to explore the use of evolutionary and institutionalization models to understand the technical progression of sustainability in political organizations and their contribution to sustainable effectiveness. It describes the evolution of mass media, political marketing, in the organization’s strategy and design and the methods it is using to institutionalize this political and transition change.

The study describes models of sustainability evolution and political and technical change, in political and social life in transition state Montenegro.

Online and internet presentations of political programs, political blogs, sites that promote the national history and culture of the desired perception – the achievements have already risen in Montenegro in the first decade of the new millennium and beyond. Internet presentation of political subjects are reduced mainly to a brief presentation of history and of political parties, and mostly during the current election campaign, serving to inform the public about the program and promotion announcements.

The findings of this study will help senior executives with responsibility for transition states. The aim of this paper is to show the transformation of the media during the transition period from one political system to another. With the use of descriptive methodological postulates and numerous case studies. With a wealth of facts and examples, which contributes to the originality and value of the article. The significance and originality of this research and article is reflected in a comprehensive and multidisciplinary approach to the transition process and quantitative and qualitative development of the media.

Industrial markets are generally associated with objective decision-making in which rational and functional product benefits are central. Recently, however, subjective aspects of decision-making, such as visual appeal, are attracting research attention. The purpose of this paper is to examine, first, the effect of product color as a non-functional design element on attitude toward the product and, second, the underlying causal relationships of this effect in the context of industrial products.

The authors conducted an online quasi-experiment in the dental market with a sample of 300 dentists. The product stimulus was a picture of a treatment chair that varied in color. An analysis of variance tested the effect of product color on attitude. Structural equation modeling investigated the underlying effects of product evaluation.

The results indicate that product color affects attitude toward the product. Further, the authors find an insightful causal chain of direct and indirect effects on attitude. The most effective path runs via visual appeal and aesthetics, while haptics and functionality are of minor importance.

This paper is one of the first to provide empirical evidence for the effect of non-functional design elements such as product color on the evaluation of an industrial product. The results provide valuable insights into the effects on attitude in this context and stress the great importance of visual appeal and aesthetics in the product evaluation process.