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This paper aims to establish how strategic target-market selection decisions are shaped, challenged and driven in response to the rapidly evolving technological landscape. The authors critically evaluate the implications of these changes for the role of marketers and the organizational function of marketing.

The research uses qualitative methods. Key-informant interviews are conducted among senior organizational practitioners within client-side organizations, digital agencies and strategic marketing consultancies, seeking to contrast their views.

The findings reveal an erosion of responsibility for the integrated strategic role of marketing decision-making. In particular, the authors reveal that the evolving digital landscape has precipitated a sense of crisis for marketers and the role of marketing within the firm. This extends beyond simply remedying a skills-gap and is triggering a transformation that has repercussions for the future of marketing and its practice, thus diminishing functional accountability.

The findings have long-term implications for marketing as a strategic organizational function of the firm and for marketing as a practice.

The study considers an increasingly digitalized marketplace and the associated impact of big data for the function of marketing. It reveals the changing scope of strategic marketing practice and functional accountability.

Privacy is a topic of major interest to the marketing community that has fuelled the development of legal and technical mechanisms to protect customers' anonymity and to prevent the misuse of customer data. Nevertheless, data breaches continue to occur. The purpose of this paper is to offer new insight into the causes of such breaches, thus paving the way for novel approaches to privacy protection.

The paper presents a semiotic framework identifying the data, task related and normative factors that influence behaviour. A qualitative study with branch and back office employees in a British financial institution illustrates the explanatory value of the framework.

The results show that the legal tools provide guidance only when they are clear, relevant and enforceable, that technology reduces idiosyncrasy but has limited application and, crucially, that employees' attitudes, group norms, preconceptions and mental processes dramatically condition behaviour.

The study integrates the limited marketing literature available on the reasons for privacy breaches, and advances the understanding of the role of employees in safeguarding customer data. It is an exploratory, small‐scale study that simultaneously offers new insight and identifies areas where further research is needed.

The paper presents practical contributions to marketing managers concerning policy wording, job design and reward schemes.

The study delivers a holistic framework to assess how the various privacy related initiatives may interact with each other, and specifically focusing the researcher's attention on what is often the weakest link in privacy protection: staff.

The paper aims to study the outreach and performance of business correspondent (BC) models, which are implemented as a subsidiary agent of banks to accelerate the financial inclusion (FI) mission in India. In this regard, the study illustrates BC's products and services rendered to customers, forms of delivery channels and BC's view on banking services and Kiosk-based BC programs.

The current paper is an empirical study based on surveying 200 Kiosk-based BCs working in the state of Kerala. After the preliminary screening analysis of the data with outlier deletion, removal of missing values and normality test, both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were executed followed by reliability test, convergent and discriminant validity tests. Covariance-based structural equation modeling (CBSEM) was performed for CFA and inferential tests were carried out by using statistical package for the social sciences (SPSS) and analysis of a moment structures (AMOS) and Eviews.

Chiefly, eight operational forms of BCs were found from the field survey. Hypothetical tests show the significant impact of the serviceability of banks on BC's profitability. Validity tests such as average variance extracted (AVE), composite reliability (CR), maximum shared variance (MSV) and average shared variance (ASV) were established after the removal of the cross-loaded items of the questionnaire from the rotated component matrix. BCs perform main banking services especially bank account opening facility and Akshaya E-Centers are widely used for this model as Kiosk banking in the surveyed state.

So far, no study has encompassed empirical research on performance analysis and outreach of the BC model in the state of Kerala where this BC model well functions. Since the study is a novel form of banking channelization for FI, the study can contribute to understanding the further feasibility and future dimension of the model based on experimental views of BCs.

The article aims to concern identification and development of pathways for a green recovery process post pandemic taking into account the role of digital technologies for unleashing the policies planned within the European Green Deal (EGD).

The study is based on a systematic literature review (SLR). The electronic databases Scopus and Web of Science (WoS) were surveyed. The authors followed the SLR guidelines laid down by Tranfield et al. (2003) and the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) framework and 65 articles were found eligible after thorough reading and inclusion in the analysis.

The article presents an innovative framework containing the digital technologies and their roles in enabling the achievement of the EGD policies and the barriers to their adoption.

The proposed framework would guide organizations and policymakers' decisions to pursue a pathway in which a green recovery is possible, mainly after the consequences of the current pandemic, considering the pitfalls of the journey. The article is original as it provides an up-to-date guidance toward an emerging theme, which is a green recovery economy including a net-zero carbon worldwide target.

This study aims to investigate organizational learning, represented by the absorptive capacity, as a condition for the firm to learn about marketing data and make more informed decisions. The authors also aimed to understand how the behavior of micro, small and medium enterprises (MSME) businesses differ in this scenario through a multilevel perspective.

Placing absorptive capacity as a mediator of the relationship between business analytics and rational marketing decisions, the authors analyzed data from 224 Brazilian retail companies using structural equation modeling estimated with partial least squares. To test the cross-level moderation effect, the authors also performed a multilevel analysis in RStudio.

The authors found a partial mediation of the absorptive capacity in the relation between business analytics and rational marketing decisions. The authors also discovered that, in the MSMEs firms’ group, even if smaller companies find it more difficult to use data, those that do may reap more benefits than larger ones. This is due to the influence of size in how firms handle information.

The sample size, despite having shown to be consistent and valid, is considered small for a multilevel study. This suggests that our multilevel results should be viewed as suggestive, rather than conclusive, and subjected to further validation.

Rather than solely positioning business analytics as a tool for decision support, the authors’ analysis highlights the importance for firms to develop the absorptive capacity to enable ongoing acquisition, exploration and management of knowledge.

MSMEs are of economic and social importance to most countries, especially developing ones. This research aimed to improve understanding of how this group of firms could transform knowledge into better decisions. The authors also highlight micro and small firms’ difficulties with the use of marketing data so that they can have more effective practices.

The research contributes to the understanding of organizational mechanisms to absorb and learn from the vast amount of current marketing information. Recognizing the relevance of MSMEs, a preliminary multilevel analysis was also conducted to comprehend differences within this group.

Regulatory initiatives and related technological shifts have been imposing restrictions on data-driven marketing (DDM) practices. This paper aims to find the main restrictions for DDM and the key management theories applied to investigate the consequences of these restrictions.

The authors conducted a unified bibliometric analysis with 104 publications retrieved from both Scopus and Web of Science, followed by a qualitative, in-depth systematic literature review to identify the management theories in literature and inform a research agenda.

The fragmentation of the research outcomes was overcome by the identification of 3 main clusters and 11 management theories that structured 18 questions for future research.

To the best of the authors’ knowledge, this paper sets for the first time a frontier between almost three decades where DDM evolved with no significative restrictions, grounded on innovations and market autoregulation, and an era where data privacy, anti-trust and competition and data sovereignty regulations converge to impose structural changes, requiring scholars and practitioners to rethink the roles of data at the strategic level of the firm.