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Topic Review Peer Reviewed
Why Method Matters: A Systematic Review and Meta-Analysis of the Marketing Capability–Performance Relationship
This systematic review and meta-analysis synthesises 88 effect sizes from 88 peer-reviewed journal articles to evaluate the association between marketing capability and firm performance. Studies were identified in Scopus and Dimensions for the period 2000–2025 and were eligible if they reported a construct identifiable as marketing capability, at least one firm performance outcome, and sufficient statistics to compute a correlation. Random-effects pooling indicates a positive and practically meaningful correlation between marketing capability and performance (r = 0.44, 95% CI [0.40, 0.48]), with a 95% prediction interval from 0.06 to 0.71, indicating that marketing capability is an important correlate of performance outcomes. Subgroup analyses show stronger correlations for reflective first-order models, weaker estimates for higher-order and formative specifications, and wider prediction intervals when confirmatory factor analysis (CFA) is reported. Contextual differences are also evident: business-to-consumer samples exhibit the largest effects, business-to-business samples moderate effects, and mixed samples smaller effects. Small-study patterns were examined with funnel plots, Egger’s test and trim-and-fill, and sensitivity analyses using Restricted Maximum Likelihood (REML), Hartung–Knapp, and multilevel models produced similar pooled estimates. Most included studies were cross-sectional, which limits causal interpretation, so the findings should be read as consistent associations rather than proven effects. Taken together, the review shows that construct design, validation practice, and market setting systematically shape both the size and spread of the marketing capability–performance association and provides benchmarks and prediction intervals that future studies can use for theory development and research design.
  • 36
  • 23 Dec 2025
Topic Review Peer Reviewed
Data Cooperatives and Their Impact on GovTech as a Regional Development Approach for Digital Transformation at a Local Level
A data cooperative is a legally organized cooperative whose purpose is the collective collection, management, and use of data collected by its members. In contrast to other data pools, it can act as a democratic self-governing organization in which each member has a say in how data is collected, shared, and analyzed. The members retain control over the data they contribute. They collectively benefit from the resulting data services, for example, through new insights, innovative services, or economic advantages. As a forward-looking model, the data cooperative enables smaller players to access reliable data infrastructure and data resources that would otherwise remain inaccessible. It promotes data sovereignty and strengthens trust in data-driven cooperation. Here, the definition of data derives from the field of business informatics, which gives a scientifically sound typology of data, systematized on several levels. The following elaboration offers conceptual clarification and presentation of central data types. Depending on the context and processing purpose, their classification is essential for business informatics, as they form the raw material for information systems and business processes. Data cooperatives are gaining in importance as a cooperative form of organization enabling democratic co-determination, community benefit, and equal access to data for regional actors.
  • 34
  • 30 Dec 2025
Topic Review Peer Reviewed
Individual Ambidexterity as a Driver of Career Sustainability in Late Careers
Individual ambidexterity is the capacity of an individual to engage in both exploration of new knowledge, roles, and opportunities and exploitation of existing skills, experience, and routines in ways that support adaptation and sustained work contribution over time. Amidst the challenges of ageing demographics, digital transformation, and longer working lives, maintaining careers over the long term is becoming increasingly important to people and businesses alike. Individual ambidexterity, as the capacity to combine exploration of new knowledge and opportunities and the use of existing skills and experiences, provides a meaningful framework for thinking about adaptive behavior across career stages. In this article, we integrate insights from the literature on individual ambidexterity with career sustainability, particularly for senior professionals and late-career trajectories. Drawing on research from organizational behavior, leadership, career development, and sustainable careers, the article synthesizes key theoretical foundations, identifies relevant contextual enablers, and highlights emerging research trends. It further examines how leadership, job design, and knowledge management practices shape ambidextrous behavior across extended careers. The framework advanced here is integrative and heuristic rather than predictive. This contribution clarifies how individual ambidexterity may provide the micro-level capability for sustainable careers in ageing and dynamic labor markets by synthesizing fragmented literatures.
  • 16
  • 15 Jun 2026
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