This study examines how research on ESG data quality, greenwashing and capital-market efficiency has evolved, with particular attention to the development of theory, geographic and contextual coverage, methodological choices and the integration of capital-market frictions. It asks: (i) how has the literature developed over time; (ii) to what extent are theoretical, contextual and methodological perspectives integrated; and (iii) which intersections remain underexplored for understanding ESG information and capital-market outcomes? To address these questions, the study synthesises 1472 Scopus-indexed journal articles published between 2015 and 2026 using bibliometric mapping and a Theory–Context–Characteristics–Methodology (TCCM) review. Titles and abstracts were coded using transparent, rule-based procedures supported by documented keyword dictionaries, cleaning rules and R code, with independent blind validation to assess coding reliability across theory, context and methodology categories. Five findings emerge. First, the field has expanded rapidly, progressing from a foundational phase (2015–2017) through a period of ESG rating divergence (2018–2021) to an ISSB/AI acceleration phase (2022–2026). Second, theoretical engagement remains limited; only 14.1
Tourism’s structural exposure to disruption has shifted business continuity from an operational concern to a strategic one. Yet, scholarship on the subject remains dispersed across resilience, crisis management, and dynamic capability discourses. This review asks how business continuity management (BCM) has been conceptualised and practised in tourism, which theoretical perspectives underpin that work, and which questions remain unresolved. Using the SPAR-4-SLR protocol, with PRISMA-guided screening, performance analysis, and NVivo-assisted thematic content analysis, the review examines 32 peer-reviewed articles published between 2010 and 2025. It identifies five thematic streams: strategic reconfiguration, human capital, digital substitution, informal survival logics, and sustainability-linked resource efficiency. Two arguments follow. First, BCM, resilience, and dynamic capabilities occupy distinct theoretical positions rather than interchangeable ones. Notably, BCM is better understood as continuity infrastructure, comprising formal systems, informal practices, human capital, and digital mechanisms, and as an antecedent to resilience rather than a synonym for it. Second, continuity is achieved through two different logics: (i) formal infrastructure in resource-rich organisations and social capital and (ii) psychological resilience in resource-constrained ones. As such, frameworks derived from large-firm settings cannot be generalised to the micro-enterprise and informal operators that constitute the majority of the sector. These arguments imply a two-tier approach to practice and policy, pairing formal continuity standards for larger enterprises with minimum viable resilience protocols for micro- and informal operators, and a research agenda centred on agility, longitudinal survival assessment, informal sector standardisation, techno-human balance, and sustainability as a financial buffer.
In large and diverse demographic settings of the Global South such as India, several nations in Africa, and in Latin America, with the rapid advancement of artificial intelligence (AI), multiple and unique opportunities are arising for applied social science researchers to create knowledge—opportunities that are difficult to access for researchers from the Global North. This perspective essay lays out the rationale for, examples of, and strategies for such indigenously innovative knowledge creation for early-stage applied social science researchers.
Customer showrooming behaviour generally negatively affects the sales and profitability of a brick-and-mortar (B M) store. To counter this, the B M store implements different strategies such as the introduction of private-label store brands (SB), among others. In this paper, we consider dual-channel retailing by a B M store and an online store selling a national brand (NB) in the presence of showrooming. To negate the adverse effects of showrooming, the B M store introduces an exclusive store brand (SB). In particular, we generalize the models developed by Chai et al. (2021) by including customers, who may buy either from the B M store or from the online store without showrooming, besides customers, who engage in showrooming. We validate the findings of Chai et al. (2021) for the generalized models that the B M store’s demand and profit increase under a premium-price SB strategy, and that the benefits accrued to the B M store increase with both the breadth and the depth of NB product mismatch. In addition, we develop new propositions, and compare the results of the generalized models with those of Chai et al. (2021) that provide valuable insights. In the concluding remarks, we summarize the findings of this paper, draw managerial implications and suggest directions for future research.
Decision-making styles are typically measured using self-reported methods, which vary in terms of the number, names, and descriptions of styles. This variation can complicate the inference of results across studies that use different instruments. The current study aims to examine the similarities and differences between three of the most commonly used instruments—the General Decision-Making Styles, Melbourne Decision-Making Inventory and Rational-Experiential Inventory—on a sample of 466 Slovak adults. Three groups of styles (rational, intuitive and maladaptive) were hypothesized and confirmed by the correlation analysis, with moderate associations found between similarly described styles. However, the factor analysis at both the style and item level suggests that in some cases, very similar names and descriptions are used for slightly different constructs and that particular items in certain styles can be explained by different factors. The results highlight the importance of not only examining the style description but more specific characteristics should also be considered in the process of generalizing findings of past studies and generating hypotheses to future research.
