Public service announcements: A literature review and way forward

Sivakumaran, Bharadhwaj; Harindranath, R M; Nandakumar, Nachiketas; Srivastava, Ekta

doi:10.1111/ijcs.12942

Cited by 3 publications

(1 citation statement)

References 174 publications

(300 reference statements)

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“…Due to the increased adoption of social messages in the commercial and non‐commercial streams along with the imbibed nature of social messages (Brochado et al, 2017; Sivakumaran et al, 2023), we have examined the factors identified in the context of social marketing communication for this study. We have also considered the increasing expenditure on socially conscious advertising, which aims to appeal to conscious consumers who look for products that reflect their sensitivities to social causes.…”

Section: Introductionmentioning

confidence: 99%

Language and thought: Linguistic relativity in social marketing communication

Goel,

Sharma,

Gupta

2024

Int J Consumer Studies

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Linguistic relativity (linguistic patterns influence perception and cognition) is crucial for marketing communication effectiveness. The argument is that linguistic relativity enablers in marketing communication may assist marketers, communicators, and creators achieve the desired “effectiveness” more successfully. Based on this premise, prior research in consumer studies has examined language's mediation role in consumer perception and cognition. However, the question of identifying these enablers and the plausible existence of any structural relationship among them persists. This article, therefore, seeks to examine the identification and interrelationship of linguistic relativity enablers in the context of social marketing communication. We examine the query through in‐depth interviews with specific respondents with a strong and influential relationship with the subject. This study presents the analysis conducted through Fuzzy‐ISM and Fuzzy‐MICMAC and presents relative findings by providing a structure with the potential to be used in longitudinal studies.

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Section: Introductionmentioning

confidence: 99%

Language and thought: Linguistic relativity in social marketing communication

Goel,

Sharma,

Gupta

2024

Int J Consumer Studies

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Explicating the mapping between big data and knowledge management: a systematic literature review and future directions

Goswami,

Sinha,

Goswami

et al. 2024

BIJ

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PurposeThis study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers and current and emerging themes and to propose areas of future research.Design/methodology/approachThe study was conducted by systematically extracting, analysing and synthesizing the literature related to linkage between big data and KM published in top-tier journals in Web of Science (WOS) and Scopus databases by exploiting bibliometric techniques along with theory, context, characteristics, methodology (TCCM) analysis.FindingsThe study unfolds four major themes of linkage between big data and KM research, namely (1) conceptual understanding of big data as an enabler for KM, (2) big data–based models and frameworks for KM, (3) big data as a predictor variable in KM context and (4) big data applications and capabilities. It also highlights TCCM of big data and KM research through which it integrates a few previously reported themes and suggests some new themes.Research limitations/implicationsThis study extends advances in the previous reviews by adding a new time line, identifying new themes and helping in the understanding of complex and emerging field of linkage between big data and KM. The study outlines a holistic view of the research area and suggests future directions for flourishing in this research area.Practical implicationsThis study highlights the role of big data in KM context resulting in enhancement of organizational performance and efficiency. A summary of existing literature and future avenues in this direction will help, guide and motivate managers to think beyond traditional data and incorporate big data into organizational knowledge infrastructure in order to get competitive advantage.Originality/valueTo the best of authors’ knowledge, the present study is the first study to go deeper into understanding of big data and KM research using bibliometric and TCCM analysis and thus adds a new theoretical perspective to existing literature.

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Open innovation and firm performance in emerging economies: a bibliometric and TCCM analysis review

Majumdarr,

Dasgupta,

Farooq

2023

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PurposeCompared to their counterparts in developed economies, businesses established in emerging economies continuously struggle due to resource and time constraints. Open innovation (OI) allows these firms to bridge the gap and advance towards technological advancements; however, the scholarly knowledge on the subject is not systematized. Thus, this study synthesizes the extant literature, proposes a framework and highlights future research avenues for domain advancements.Design/methodology/approachBased on the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) framework, the study evaluates 79 journal publications from Scopus and Web of Science (WoS). The bibliometric analysis highlights annual publication trends and research clusters, whereas TCCM analysis provides deep analysis into applied theories, context and characteristics, i.e. OI–performance linkage, barriers, mediators and moderators, followed by employed methodologies in the domain.FindingsThe bibliometric results showcase a rising publication trend, significant research clusters and trends, whereas the content analysis via TCCM framework identifies theories, contexts and methodologies employed in the domain. In terms of characteristics, the OI–performance relation and barriers at diverse levels, followed by the moderating and mediating mechanism, are further explained in detail.Originality/valueThis is the first study to examine OI and firm performance in the context of emerging economies and employ rigorous frame-based bibliometric and content analysis measures, establishing the foundations for a comprehensive understanding.

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Public service announcements: A literature review and way forward

Cited by 3 publications

References 174 publications

Language and thought: Linguistic relativity in social marketing communication

Language and thought: Linguistic relativity in social marketing communication

Explicating the mapping between big data and knowledge management: a systematic literature review and future directions

Open innovation and firm performance in emerging economies: a bibliometric and TCCM analysis review

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