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Based on social capital theory and the institutional theory, this paper aims to explain how a firm’s business ties and political ties affect contractual governance in an interfirm cooperation, and under which institutional conditions they can play a better role.

This study tests conceptual model using questionnaire survey data collected from 227 firms in China. Hierarchical regression analysis is used to test the hypotheses.

This study finds that business ties have significant effect on contract completeness, while political ties have significant effect on contract enforcement. Moreover, these effects are contingent on some institutional factors. Market information transparency strengthens the effect of business ties on contract completeness and weakens the effect of political ties on contract completeness. Legal system completeness weakens the effect of political ties on contract enforcement.

This study suggests that managers could actively and selectively use their managerial ties to enhance contractual governance in an interfirm cooperation.

This study adds to the current understanding of how an interfirm cooperation is shaped by the firm’s social capital derived from external network relationships and extends the research on what social antecedents affect contractual governance. Moreover, this study sheds new light on when managerial ties can play a more beneficial role in emerging economies.

Purchase conversion prediction aims to improve user experience and convert visitors into real buyers to drive sales of firms; however, the total conversion rate is low, especially for e-retailers. To date, little is known about how e-retailers can scientifically detect users' intents within a purchase conversion funnel during their ongoing sessions and strategically optimize real-time marketing tactics corresponding to dynamic intent states. This study mainly aims to detect a real-time state of the conversion funnel based on graph theory, which refers to a five-class classification problem in the overt real-time choice decisions (RTCDs)—click, tag-to-wishlist, add-to-cart, remove-from-cart and purchase—during an ongoing session.

The authors propose a novel graph-theoretic framework to detect different states of the conversion funnel by identifying a user's unobserved mindset revealed from their navigation process graph, namely clickstream graph. First, the raw clickstream data are identified into individual sessions based on a 30-min time-out heuristic approach. Then, the authors convert each session into a sequence of temporal item-level clickstream graphs and conduct a temporal graph feature engineering according to the basic, single-, dyadic- and triadic-node and global characteristics. Furthermore, the synthetic minority oversampling technique is adopted to address with the problem of classifying imbalanced data. Finally, the authors train and test the proposed approach with several popular artificial intelligence algorithms.

The graph-theoretic approach validates that users' latent intent states within the conversion funnel can be interpreted as time-varying natures of their online graph footprints. In particular, the experimental results indicate that the graph-theoretic feature-oriented models achieve a substantial improvement of over 27% in line with the macro-average and micro-average area under the precision-recall curve, as compared to the conventional ones. In addition, the top five informative graph features for RTCDs are found to be Transitivity, Edge, Node, Degree and Reciprocity. In view of interpretability, the basic, single-, dyadic- and triadic-node and global characteristics of clickstream graphs have their specific advantages.

The findings suggest that the temporal graph-theoretic approach can form an efficient and powerful AI-based real-time intent detecting decision-support system. Different levels of graph features have their specific interpretability on RTCDs from the perspectives of consumer behavior and psychology, which provides a theoretical basis for the design of computer information systems and the optimization of the ongoing session intervention or recommendation in e-commerce.

To the best of the authors' knowledge, this is the first study to apply clickstream graphs and real-time decision choices in conversion prediction and detection. Most studies have only meditated on a binary classification problem, while this study applies a graph-theoretic approach in a five-class classification problem. In addition, this study constructs temporal item-level graphs to represent the original structure of clickstream session data based on graph theory. The time-varying characteristics of the proposed approach enhance the performance of purchase conversion detection during an ongoing session.

This special issue explores how marketing thought and practice have contributed to systemic racism but could alleviate racially insensitive and biased practices. An introductory historical overview briefly discusses coloniality, capitalism, eugenics, modernism, transhumanism, neo-liberalism, and liquid racism. Then, the special issue articles on colonial-based commodity racism, racial beauty imagery, implicit racial bias, linguistic racism and racial imagery in ads are introduced.

The historical introduction is grounded in a review of relevant literature.

Anti-racism efforts must tackle the intersection between neo-liberalism and racial injustice, the “raceless state” myth should be re-addressed, and cultural pedagogy’s role in normalizing racism should be investigated.

To stop perpetuating raced markets, educators should mainstream anti-racism and marketing. Commodity racism provides a historical and contemporary window into university-taught marketing skills.

Anti-racism efforts must recognize neo-liberalism’s pervasive role in normalizing raced markets and reject conventional wisdom about a raceless cultural pedagogy, especially with the emergence of platform economies.

Little previous research has tackled the history of commodity racism, white privilege, white ideology, and instituting teaching practices sensitive to minority group experiences.

South Africa is increasingly becoming an attractive market for luxury fashion brands due to the growing middle-income consumer segment, which is perceived to be upwardly mobile. Despite evidence of black South African's exhibition of heightened interest in conspicuous consumption (CC), there seems to be limited research addressing the drivers and implications of such behaviour. This study aims to investigate the antecedents of CC by middle-income black South Africans and the marketing implications thereof.

This study employed a survey questionnaire approach and a quantitative methodology for primary data collection. Data were gathered from a sample of 170 respondents across South Africa and analysed using structural equation modelling (SEM) through SPSS and Mplus software. Confirmatory factor analysis was used to test model fit, reliability and validity of measurement instruments, while path modelling was used to test hypotheses adopted by this report.

Among the major findings made by this report was that social class signalling positively influenced CC. In contrast, CC was not predicted by status consumption (SC). This study concluded that social factors motivated the CC of luxury fashion brands by middle-income black South Africans.

This study's key recommendations were for marketing professionals to imbue overt status cues in their brand campaigns to drive the consumption of luxury fashion brands. Future studies could investigate whether or not the findings of this study are applicable across ethnic demographics in South Africa.

The study extends the discourse of the antecedents of ethnic consumer behavioural patterns in a historically segregated market. It weighs in on the growing research addressing factors driving the middle-income population from emerging economies to consume luxury fashion brands conspicuously.

This paper illuminates the mechanisms through which marketing practice and institutions produced, normalized and institutionalized systemic racism in support of imperialism, colonization and slavery to provide impetus for transformational change. Critical race research is drawn on to propose paths toward decolonial and anti-racist research agenda and practice.

The paper integrates multidisciplinary literature on race, racism, imperialism, colonialism and slavery, connecting these broad themes to the roles marketing practices and institutions played in creating and sustaining racism. Critical race theory, afro pessimism, postcolonial theories, anti-racism and decoloniality provide conceptual foundations for a proposed transformative research agenda.

Marketing practices and institutions played active and leading roles in producing, mass mobilizing and honing racist ideology and the imagery to support imperialism, colonial expansion and slavery. Racist inequalities in market systems were produced globally through active collusion by marketing actors and institutions in these historical forces creating White advantage and Black dispossession that persist; indicating an urgent need for transformative anti-racists and decolonial research agendas.

Covering these significant historical forces inevitably leaves much room for further inquiry. The paper by necessity “Mango picked” the most relevant research, but a full coverage of these topics was beyond the scope of this paper.

Marketing practitioners found themselves at the epicenter of a crisis during the Black Lives Matter protests. This paper aims to foster anti-racist ad decolonial research to guide practice.

This paper addresses systemic and institutional racism, and marketplace inequalities – urgent societal challenges.

To the best of the authors’ knowledge, the paper is the first in marketing to integrate multidisciplinary literature on historical forces of imperialism, colonization and slavery to illuminate marketing’s influential role in producing marketplace racism while advancing an anti-racist and de-colonial research agenda.

Over the last 50 years, increased attention for personalization paved the way for one-to-one marketing efforts, but firms struggle to deliver on this promise. The purpose of this manuscript is to provide a complete picture on personalization, develop a future research agenda and put forth concrete advice on how to move the field forward from a theoretical, methodological, contextual, and practical viewpoint.

This research follows a systematic literature review process, providing an in-depth analysis of 135 articles (covering 184 studies) to distill the (1) key building blocks and components of personalization and (2) theoretical, contextual, and methodological aspects of the studies.

This manuscript uncovers six personalization components that can be linked to two personalization building blocks: (1) learning: manner, transparency, and timing and (2) tailoring: touchpoints, level, and dynamics. For each of these components, the authors propose future research avenues to stimulate personalization research that accounts for challenges in today's data-rich environments (e.g. data privacy, dealing with new data types). A theoretical, contextual, and methodological (i.e. industry, country and personalization object) review of the selected studies leads to a set of concrete recommendations for future work: account for heterogeneity, embed theoretical perspectives, infuse methodological innovation, adopt appropriate evaluation metrics, and deal with legal/ethical challenges in data-rich environments. Finally, several managerial implications are put forth to support practitioners in their personalization efforts.

This research provides an integration of personalization research beyond existing and outdated review papers. Doing so, it accounts for the impact of new technologies and Artificial Intelligence and aims to advance the next generation of knowledge development on personalization.

Background: This work is a situation analysis of reported human rights abuses that have characterized the COVID-19 controls and lockdown in some countries of the world. This is as documented by reliable mass media sources, relevant international organizations and human rights non-governmental organizations between January 2020 to April 2020.

Methods: A combined content analysis, critical analysis, and doctrinal method is applied in this study in line with the reproducible research process. It is a secondary-data-based situation analysis study, conducted through a qualitative research approach.

Findings: The findings revealed among other things that: COVID-19 lockdowns and curfews' enforcement by law enforcement officers contravened some people's fundamental human rights within the first month. Security forces employed overt and immoderate forces to implement the orders. The lockdown and curfew enforcements were not significantly respectful of human life and human dignity. The COVID-19 emergency declarations in some countries were discriminatory against minorities and vulnerable groups in some countries.

Research limitations/implications: This report is based on data from investigative journalism and opinions of the United Nations and international human rights organizations, and not on police investigations or reports. The implication of the study is that if social marketing orientations and risk communication and community engagement attitudes were given to the law enforcement officers implementing the COVID-19 lockdowns and or curfews, the human rights and humanitarian rights breaches witnessed would have been avoided or drastically minimized.

Originality: The originality of this review is that it is the first to undertake a situation analysis of the COVID-19 lockdowns and curfews human rights abuses in some countries. The study portrayed the poor level of social marketing orientations and risk communication and community engagement attitudes amongst law enforcement officers, culminating in the frosty police-public relationships.

The article tackles the under-defined notion of communication in strategic communication research and elaborates a taxonomy of semiotic processes, which distinguishes different types of communicative and signalling events. The purpose is to offer an improved analysis of the processes by which meaning emerges from strategic communication situations.

The proposed taxonomy is based on a conceptual framework combining semiotics, linguistic pragmatics and signalling theory. Several real cases of strategic communication are analysed to exemplify the taxonomy.

Different sub-types of signalling events are highlighted and explained. The communicative function of performed behaviours (i.e. when actions speak and do it louder than words) depends on how informative and communicative intentions are managed by the message source and inferentially interpreted by different receivers. It is suggested that the ways in which meaning is signalled can be best understood with an argumentative perspective that foregrounds the inferential processes of persuasion, interpretation and decision-making. The limitations of the transmission vs. ritual and the one-way vs. two-way theories of strategic communication are highlighted.

The article discusses strategic communication events with the under-considered perspective of communication theories in the fields of semiotics and pragmatics. Signalling phenomena are interpreted from a communicative viewpoint, emphasising the argumentative dynamics that constitute them.

The authors argue that privacy is integral to the well-being of consumers and an essential component in not only corporate social responsibility (CSR) but what they term uniquely as social media responsibility (SMR). A conceptual framework is proposed that delineates the privacy issues companies should pay attention to in artificial intelligence (AI)-fueled social media environments.

The authors review literature on privacy issues in social media and AI in the academic and practitioner literatures. Based on the review, arguments focus on the need for an SMR framework, proposing responsible use of consumer data that is attentive to consumers' privacy concerns.

Implications from the framework are a path forward for social media companies to treat consumer data more fairly in this new environment. The framework has implications for companies to reduce potential harms to consumers and consider addressing their power and responsibility. With social media and AI transforming consumer behavior so profoundly, there are a variety of short- and long-term social implications.

Since AI tools are becoming integral to social media company activities, this research addresses the changing responsibilities social media companies have in securing consumers' data and enabling consumers the agency to protect their privacy effectively. The authors propose an SMR framework based on CSR research and AI tools employed by social media companies.

Extant research captures the signaling and attitudinal effects of luxury brand prominence strategy; however, little is known about the underlying mechanisms that drive this effect. This study aims to uncover brand authenticity and brand coolness as parallel mediators driving the effects of brand prominence on luxury purchase intentions and explores the moderating role of consumers’ self-brand connection.

The research consisted of three experiments. Study 1 (n = 121) explored the direct effects of brand prominence among Chinese consumers. Using a sample of Turkish consumers (n = 115), Study 2, measured the mediation effects of brand authenticity and brand coolness. Study 3 (n = 211) examined how self-brand connection moderated the mediation effects among British customers.

A luxury brand prominence strategy leads to negative perceptions of coolness and authenticity and, in turn, reduces purchase intentions. The negative effect of brand prominence is even more pronounced among consumers with high self-brand connection.

The study elaborates on how brand prominence informs consumers’ perceptions of authenticity and coolness. In examining the role of self-brand connection, the study reveals a theoretically and managerially relevant boundary condition of this focal effect.

The research highlights how luxury brands can use differing brand prominence strategies. This research informs brand managers on how to enhance brand authenticity and coolness while managing self-brand connection.

The study extends the luxury branding literature by explaining the brand prominence effect through the parallel mediators of brand authenticity and brand coolness. In contrast to extant research, the findings show that the negative effect of brand prominence is particularly strong among consumers with high self-brand connection.