Management & Marketing Feed

Investigating critical success factors in driving artificial intelligence-based accounting system acceptance and firm performance among SME users in Ghana: Employing a modified information system success model

Wed, 31 Dec 2025 00:00:00 GMT

With the increasing dependence on artificial intelligence (AI) and the speed at which innovative technology is being integrated into the business environment, finding the drivers that can influence AI-based accounting system (AS) acceptance among small and medium enterprises (SMEs) in developing countries continue to be of a significant concern. Thus, this study investigates the critical success factors that can influence SME users’ acceptance of AI-based accounting system and their effects on firm performance in Ghana. The study employed modified DeLone and McLean information system success model by integrating internal control quality (ICQ). The study employed a quantitative research approach. Using a purposive sampling technique, the study selected 249 users from SMEs operating in Ghana. Structural equation model was the data analysis tool utilized to analyse the data. The study found that service quality (ServQ) and system quality are key determinants that can affect SME users’ usage toward AI-based accounting system. The study found that information quality and ICQ can significantly affect usage and user satisfaction (SAT) toward AI-based accounting system. The study found that ServQ can insignificantly affect user satisfaction toward AI-based accounting systems. The study found that AI-based accounting system usage and user SAT can strongly and significantly affect firm performance. The study provided practical insights to managers and service providers to develop a well-functioning and user-friendly AI-based accounting system that can promote user experience and enhance firm performance.

The role of competitiveness in increasing Romanian agri-food exports

Wed, 31 Dec 2025 00:00:00 GMT

The competitiveness of agri-food products is one of the most important factors in promoting exports and economic development, especially in developing countries such as Romania. Competitiveness can be enhanced through increasing productivity, applying modern systems in the production process, innovation, and the realization of a quality final product with high added value. Initially, to contextualize the topic and assess its scientific relevance, a bibliometric analysis using VOSviewer was conducted on 441 Web of Science-indexed publications related to agri-food competitiveness. This paper investigates the impact of competitiveness, measured by labor productivity and revealed comparative advantage (RCA), on Romanian agri-food exports. RCA indices were used to assess trade performance, while multiple regression with panel data was applied to quantify their influence over the 2000–2023 period. Some of the results show that, although some agri-food products gain significant comparative advantages, their decreasing competitiveness has a negative impact on exports. The structure of exports of agricultural products is also unsatisfactory, as they are poorly processed and low-value-added products. As the regression results show, given the strong influence of labor productivity on exports, targeted investments in modern equipment, green production, and quality-enhancing innovations are recommended. Product differentiation and the creation of a final product with high added value are important factors for improving competitiveness and promoting exports in the agri-food sector.

AI challenges for environmental economics: A bibliometric analysis

Wed, 31 Dec 2025 00:00:00 GMT

Our study aims to map the interdisciplinary research landscape encompassing artificial intelligence, environmental science, and economics through bibliometric analysis. By using the Web of Science academic database to retrieve publications based on the most representative words from the taxonomy of each concept, we applied citation analysis, co-authorship network mapping, and keyword co-occurrence analysis using the R package bibliometrix and VOS Viewer software to assess the growth, key contributors, collaboration patterns, and thematic focuses within this multidisciplinary field. Topics including “artificial intelligence,” “machine learning,” and “deep learning” for artificial intelligence (AI), “environmental footprint,” “sustainability,” and “climate change” for life sciences, and “economic impact,” “resource allocation,” and “business impact” for economics have been used as part of PRISMA methodology to narrow down the most relevant studies for the analysis. Additionally, database coverage comparison and word mining over definitions and taxonomy have been performed as a prerequisite for a robust dataset. The results revealed a significant increase in publications over the past decade, highlighting the expanding role of AI in tackling environmental and economic challenges. Keyword analysis exposed dominant themes such as sustainability, resource management, and economic impact assessment, alongside emerging trends in AI applications for environmental conservation. Moreover, the network mapping revealed the AI techniques most applied in environmental economics research, such as predictive modeling, optimization algorithms, and data analytics. Therefore, our findings underscore the critical integration of AI with environmental science and economics, revealing a dynamic and rapidly evolving research landscape. The study highlights the necessity of interdisciplinary collaboration in leveraging AI technologies for sustainable development and economic optimization. It offers a roadmap for future research, suggesting areas where AI can significantly contribute to addressing complex global challenges, with topic partitioning and evolution over time. This bibliometric study serves as an important resource for researchers and policymakers, guiding the development of integrated strategies that involve AI’s potential in the presented domains.

Institutional leadership and regional contagion: Causal drivers of European research performance in the education sector

Wed, 31 Dec 2025 00:00:00 GMT

Participation in the European Union’s Framework Programs such as Horizon Europe has become a strategic priority for higher and secondary education (HES) institutions, yet the underlying determinants of funding success remain difficult to disentangle due to persistent endogeneity. It is often unclear whether successful outcomes arise from institutional strategy, regional context, cumulative advantage, or a broader set of structural factors. This study addresses this challenge by applying a structural causal model framework to analyze the performance of HES institutions. Using the DoWhy library to identify causal pathways within observational data, the study investigates three core dimensions: the potential strategic influence of holding the project coordinator role, the presence and nature of regional peer effects across NUTS 3 ecosystems, and the possible function of HES institutions as “anchor institutions” capable of generating wider national-level project spillovers. The analysis includes extensive robustness and refutation testing to ensure causal validity. Overall, the study provides a conceptual and methodological foundation for policymakers and institutional leaders seeking to strengthen administrative capacity, enhance regional clustering, and better understand the causal structures shaping research funding performance.

Social media influencers and green buying behavior in emerging market FMCG sectors: Mediating role of brand equity and moderating effects of age and culture among university students

Wed, 31 Dec 2025 00:00:00 GMT

Social media influencers (SMIs) have become significant drivers of sustainable consumption, particularly among university students in emerging markets. This research explores university students’ SMIs and green buying behavior (GBB) in purchasing decisions. Additionally, we examined the moderate effect of age and culture (CU) in this study. Using a quantitative approach, we sampled 576 university students in Ghana using a purposive approach. The questionnaire was analyzed using SmartPLS-4 software. The study found that exposure to SMIs significantly increased students’ GBB and positively predicted purchase decisions (PDs). However, brand equity (BE) did not mediate the relationship between SMI and GBB. Furthermore, age had a moderate, yet insignificant, association with the relationship between SMIs and GBB. Finally, CU negatively moderates the link between GBB and PD. The study suggests that SMIs can promote sustainable consumption most effectively by building trust and aligning with consumers’ values, rather than relying solely on traditional BE. Marketers should engage credible, value-driven influencers and tailor messages to the cultural background of the target audience to translate eco-friendly attitudes into green purchases.

Integrating ESG in business: Opportunities and risks through a systematic and bibliometric analysis

Wed, 31 Dec 2025 00:00:00 GMT

The integration of environmental, social and governance (ESG) aspects in organizational activities has become a priority; more and more companies are taking ESG criteria into account in order to successfully manage global challenges and remain competitive. In this context, this article combines a systematic literature review and a bibliometric review in order to provide an overview of the opportunities and risks associated with ESG features, based on relevant articles in the Scopus database. The distribution of articles by year, country, author, journal, and the links that exist between the keywords in the analyzed articles are described in detail in the article. The results indicate a significant increase in interest in ESG research during the period 2021–2024. Moreover, the analyses revealed that the inclusion of ESG aspects at the organizational level can contribute to reducing the risks faced by companies as well as to increasing opportunities. Also, the analysis of the most significant articles in the literature revealed the interdisciplinary nature of ESG criteria; their approach within organizations is not optional, but a necessity for companies to become resilient. Thus, this article represents an important resource for researchers who want to analyze the ESG – risks – opportunities relationship at the organizational level because this study provides an overview of the current situation, highlighting the main gaps as well as future research directions.

Digital divides in online job search: Insights from Europe

Wed, 31 Dec 2025 00:00:00 GMT

In a world where everything is increasingly digitalized, and many services are accessed online, including employment opportunities, digital skills have become increasingly important. However, recent technological developments and the uneven distribution of access and skills have deepened existing social inequalities and made the existence of digital divides across age, education, income, and other socio-demographic lines blatant. In this context, this article has analyzed the digital divide in online job searching behavior, focusing on factors that can influence internet job searching in Europe. For this endeavor, we used data from the last wave of the European Quality of Life Survey (2016) and employed binary logistic regression models. We have used both country-level indicators and individual socio-demographic factors. The findings indicate that country-level technological development positively impacts the subjective probability of finding a job using the Internet, while Internet use at the individual level also positively influences this probability. Furthermore, the analysis of socio-demographic characteristics reveals the presence of a digital divide.

The role of collaborative consumption in the servitization of digital service platforms

Wed, 31 Dec 2025 00:00:00 GMT

This research aims to understand the digital service platform usage intention and behavior from the perspectives of technology adoption and collaborative consumption. Driven by the recent changes in consumer preferences toward non-ownership of digital products and convenience of accessing digital services, it argues that in addition to service and individual-related factors, collaboration indicating social factors (sense of belonging, sharing behavior, sense of sociability) will have a role in the adoption of servitization of the digital service platforms. It further claims that they will contribute to utilitarian, hedonic, and social value perceptions of digital service platforms so that positive value evaluations will lead to behavioral intention and actual usage behavior. It develops a model that incorporates service, individual, and collaboration-related factors and tests their relationships with value perception and hence digital service platform usage intention and behavior by structural equation modelling using a convenience sample data of 519 respondents. The results indicate that service-related factors affect utilitarian value, while collaboration indicating factors affect hedonic and social value. Overall model demonstrates that the intention to use collaborative consumption services is influenced by utilitarian, hedonic, and social value as well as individual-related factors. Furthermore, the intention to use these services leads to actual usage behavior. By linking value perception with service, consumer, and collaboration characteristics, this study draws attention toward a more comprehensive understanding of digital service adoption.

Management and local capacity for Just Transition

Wed, 31 Dec 2025 00:00:00 GMT

This article examines the knowledge and abilities required by local leaders and professionals to effectively handle the Just Energy Transition (JT) in a disadvantaged European region. The research is based on qualitative analysis performed in the Hunedoara region, Romania, one of the regions anticipated to be most impacted by this change. Although the analysis focuses on Hunedoara, the challenges observed reflect patterns in coal-dependent regions in Europe. The focus is directed towards the important skills and knowledge required for change management, with approaches to communication critical for engaging diverse social stakeholders. Based on insights from three focus groups with 20 local participants (September 2023), the article underlines the importance of collaborative decision-making and the adjustment of communication methods to align with local contexts. The findings indicate a need to enhance leadership and administrative competencies, as well as ongoing deficiencies in comprehending the practical implications of the JT at the community level. The research illustrates the essential importance of public support and good communication in promoting knowledge, understanding, and acceptance of the Just Energy Transition, while providing insights into how local stakeholders might more effectively convey and execute the idea.

What drives the willingness to travel? behavioral and psychological predictors among Generation Z

Wed, 31 Dec 2025 00:00:00 GMT

The aim of the presented research was to quantitatively assess the extent to which behavioral factors (travel experience and autonomy in travel) and psychological factors (perceived travel stress and social discomfort) influence the desire to travel and explore new places among students belonging to Generation Z (Gen Z). The research was conducted in October 2024 on a sample of 404 respondents from the Alexander Dubček University of Trenčín, with the target group being students at the bachelor’s and master’s levels of study. Data collection was carried out through an online questionnaire, the content of which focused on four key areas: travel experience, autonomy in travel, perception of travel-related stress, and social discomfort during interaction in a foreign environment. The data analysis was conducted using correlation and multiple linear regression analysis. The results showed that the most significant positive predictor of the desire to travel was the number of countries visited (B = 0.1927; p < 0.01), while the perception of travel as a stressful factor had a statistically significant negative impact (B = –0.1563; p < 0.001). Other variables – willingness to travel alone and discomfort when ordering food – did not show statistical significance. Nonetheless, the model as a whole was statistically significant (F = 8.58; p < 0.001). These findings confirm the importance of behavioral and psychological factors in shaping travel motivation among young people. The research provides practical recommendations – such as strengthening students’ travel competencies through international mobility and simultaneously reducing psychological barriers through the development of adaptation strategies. The results also provide a foundation for further research that could analyze a broader range of personality, value-based, and socio-environmental determinants of Gen Z’s travel behavior.

Navigating AI sustainability: A life cycle assessment approach toward viable future solutions

Wed, 31 Dec 2025 00:00:00 GMT

Besides ethical and privacy issues, Artificial intelligence (AI) also raises concerns from an environmental perspective. Training AI models requires very large datasets and entails substantial energy and water consumption (WC). Some projections suggest that, by 2027, the annual global energy demand attributable to AI could reach 85–134 TWh, while WC may amount to 4.2–6.6 billion cubic meters, equivalent to four to six times Denmark’s annual consumption and nearly half of the United Kingdom’s. These figures underscore the importance of assessing the sustainability of AI by considering its impacts across the entire life cycle. In this study, the environmental impacts of Generative AI (GenAI) were quantitatively assessed using the Life cycle assessment methodology, across 18 impact categories, based on secondary data. The results indicate that training a single GenAI model over q year could generate 767,814 kg CO₂ eq (comparable to the annual emissions of 167 cars), 190,145 kBq Co-60 eq, 13.283 kg 1.4-DCB eq (equivalent to the pesticide treatment of approximately 102 ha of agricultural land), 28,485 m2a crop eq (about 4 football fields), and 184,690 kg oil eq (equivalent to burning roughly 615 barrels of oil). Overall, the findings highlight the considerable environmental burden of AI, with potential negative consequences comparable to those of entire polluting industrial sectors. It should be noted, however, that these estimates are conservative and intended for illustrative purposes. Actual resource consumption may be higher, depending on factors such as data center efficiency, the energy mix employed, and specific operating conditions.

The influence of dynamic capabilities on firm performance: Examining the moderating role of government support in Ghanaian SMEs

Wed, 31 Dec 2025 00:00:00 GMT

This study advances understanding of how Dynamic Capabilities (DC) influence Firm Performance (FP) among Small and Medium-Sized Enterprises (SMEs) in emerging economies, focusing on Ghana as a developing market context. While prior research has examined DC–FP relationships in advanced economies, this study uniquely explores the moderating role of government support in shaping this linkage within a resource-constrained environment. Using purposive sampling, data were collected through a three-phase approach involving online surveys, field interviews, and follow-up assessments, generating 298 valid responses from SME owners and managers. Structural Equation Modeling results reveal that sensing capabilities significantly enhance firm performance, while government support strengthens the positive relationship between integrating capabilities and firm performance. These findings underscore the critical role of government interventions in amplifying firms’ capacity to integrate knowledge and resources for improved outcomes. The study contributes to the dynamic capabilities literature by contextualizing the DC–FP nexus in an African SME setting and offers managerial insights into leveraging and integrating capabilities by sharing unique ideas across business units to enhance firm performance in turbulent environments.

Building brand emotional connections with eco-efficient packaging: Exploring the role of utilitarian, symbolic, and hedonic benefits

Tue, 30 Sep 2025 00:00:00 GMT

Growing environmental concerns have triggered the appearance of a growing number of eco-efficient goods. However, although there are several studies on consumer attitudes towards packaging design elements, research evaluating the effect of sustainable packaging on consumer decisions is relatively scarce. Therefore, the purpose of this research is to investigate how a brand’s implementation of eco-efficient packaging influences consumer behaviour. We examine how a brand’s strategic implementation of an eco-efficient packaging influences brand emotional attachment through consumer’s perceptions of utilitarian, symbolic, and hedonic benefits, and its ultimate effect on purchase intention. Partial least squares structural equation modelling was used to test the hypotheses. Based on a sample of 305 respondents, it was found that the utilitarian benefits perceived by consumers do not positively influence brand emotional attachment. On the contrary, results show the existence of a positive influence between the symbolic and hedonic benefits perceived by consumers and brand emotional attachment, as well as between brand emotional attachment and consumer purchase intention of products with eco-efficient packaging.

Privacy and security in mobile technology: A bibliometric analysis for marketing strategies

Tue, 30 Sep 2025 00:00:00 GMT

Privacy and security have become critical issues within the realm of mobile technology (MT), drawing increasing attention from both academics and business community. In response, scholars across computer science, engineering, management, and marketing have increasingly addressed these concerns, recognizing their significance in theory and practice. However, the broad spectrum and the multidisciplinary nature of publications within this topic have led to a fragmented body of literature that needs a cohesive structure. This study aims to unify the existing knowledge by offering a comprehensive overview of academic contributions at the intersection of MT, privacy, and security. Specifically, it examines how privacy and security considerations influence segmentation, targeting, and positioning strategies. A bibliometric analysis was performed using Bibliometrix software along with Biblioshiny and PlantUML tools, applying both performance analysis and science mapping techniques. One thousand fifty-seven documents were sourced and analyzed from the Web of Science database, covering the years 1996–2023. Key findings include the identification of an emerging cluster on “machine learning” and a niche cluster labeled “sensors.” The results underscore significant gaps in the existing literature, paving the way for future research to address ongoing challenges and explore new opportunities in MT and marketing strategies related to privacy and security.

Signaling shaped by the context: Early-stage funding in the Turkish startup ecosystem

Tue, 30 Sep 2025 00:00:00 GMT

Providers of early-stage financing tend to be highly selective due to significant uncertainty surrounding the future potential of new businesses. Since these ventures typically lack established performance records, potential investors focus on observable qualities of the founder as signals of the venture’s viability and chances for success in the market. Despite extensive research on new venture signaling and financing, the impact of context on investors’ decision-making has not been thoroughly explored. This oversight is significant because both firm performance and investor decision-making are influenced by economic, social, and institutional contexts. This study aims to address this gap in the literature by identifying sector-level, entrepreneurial ecosystem-level, and economy-level factors that serve as contextual influences on new venture signaling. We examine early-stage angel and venture capital investments in Turkey, which is an emerging economy with a thriving entrepreneurial ecosystem. Our results on the sample of 2,231 startups show that returnee founders are more likely to obtain early-stage financing than local entrepreneurs, and investors tend to hold particularly favorable views of returnee entrepreneurs in high-tech industries. Moreover, the likelihood of securing investment increases with the diversity of the founder’s prior work experience, a trend that has been amplified during the heightened turbulence caused by the COVID-19 pandemic. Finally, investors’ evaluations of female entrepreneurs slightly improve as women-led startups become more prevalent in the ecosystem and gain legitimacy. These findings indicate that finance providers have a significantly broad attention span for context-specific influences, and their decisions are shaped by both rational and socio-cognitive processes.

Financial controlling in the energy sector in the Republic of Serbia

Tue, 30 Sep 2025 00:00:00 GMT

One of the biggest problems faced by the world business is the constant struggle to stay competitive in the market. The acquired knowledge and satisfied numerous technical and organizational conditions have resulted in the development of a whole range of modern management techniques whose meaningful application should enable the acquisition and presentation of relevant management models. Namely, in the light of these new circumstances, in addition to strategic and operational management, companies introduce controlling into the basic activities of corporate management. The aim of this article is to understand the importance of the controlling introduction, its role in the business process, its place in the organizational structure of the company, and the potential benefits that controlling brings. This study addresses a research gap in the literature by examining the implementation of financial controlling practices in the energy sector of a non-EU transition economy. While extensive research has been conducted in the Western European contexts, empirical studies focusing on Southeast European countries, particularly Serbia, remain limited. The article contributes to filling this gap by providing survey-based insights into managerial perceptions, controlling functions, and risk management tools in a transitional regulatory and institutional environment. The added value of this study lies in its empirical examination of financial controlling within a transition economy context, offering sector-specific insights from Serbia’s energy industry. Unlike existing studies focusing on developed markets, this article highlights managerial attitudes, applied tools, and risk-related practices in an underexplored regulatory environment. The aim of this work is to determine the influence of controlling in Serbia based on the results of practical research. Testing of statistical hypotheses proved the importance of controlling in the company. The value of this work is that it was observed that traditional management approaches, based on information obtained from conventional systems, are not sufficient and that they need to be upgraded with modern controlling techniques.

Navigating the digital transformation path: The role of digital leadership and technological capability through the dynamic capability model

Tue, 30 Sep 2025 00:00:00 GMT

This article explored the impact of digital transformation on enterprise performance and considered how digital leadership can employ an enterprise’s technological capabilities to improve efficiency. Also, digital culture was moderate in unveiling technological changes. The dynamic capability theory was employed to develop the theoretical model. The study employed a quantitative approach to the investigation. In total, 459 questionnaires spanning the different manufacturing enterprises in Ghana were collected from managers. These questionnaires were validated and analyzed using the structural equation model of SmartPLS4. The findings indicate that digital leadership and technological capability had a favorable relationship with digital transformation. Similarly, digital transformation had a significant nexus with enterprise performance. Additionally, digital transformation established a partial mediating effect on enterprise performance. The study’s findings demonstrated that digital culture directly moderates the relationship between digital leadership and digital transformation. Accordingly, the theoretical implication of the research affirms the dynamic capability model and literature gaps on digital transformation, digital leadership, digital culture, and technological capabilities. With the ever-increasing speed of technologies and changing consumer dynamics, the outcome of the investigation serves as a policy assistant to governments, policy makers, and managers in their strategic decision-making processes (R2-Q4).

Examining the change in brands’ marketing communication during COVID-19 from crisis communication perspective

Thu, 26 Jun 2025 00:00:00 GMT

This research investigates how companies modified their communication strategies in response to the COVID-19 pandemic, viewed as an exogenously driven crisis from a marketing perspective. Although the literature on crisis communication in marketing predominantly focuses on internally driven crisis, exogenously driven crises are yet to be investigated further. Based on situational crisis communication theory (SCCT), we first examine how marketing professionals constructed suitable marketing communication strategies during the pandemic by conducting interviews and employing thematic analysis on the collected data. Then, we analyze social media messages of certain brands to compare the discourse and emotional variation over three periods: before, during, and after the pandemic. The interviews reveal seven key topics: the benefits of the COVID-19 pandemic, the societal benefits, the importance of circumspect and peaceful communication, the precautions related to COVID-19, consumer orientation, the suspension of marketing campaigns, and the need to diversify communication channels. Social media analysis shows that while online transactions are featured, marketing-related campaigns lost their relative importance during the pandemic. Furthermore, discrepancies exist between the desired strategies identified in interviews and the implementations reflected in the social media posts. Moreover, we discuss that the construction of crisis communication cannot exclusively rely on organizational reputation and crisis responsibility, as posited by the SCCT. In addition to those, the temporal dimension, contextual changes, and emotional variation should be considered, especially in the context of a prolonged external crisis impacting multiple societal actors.

Decoding hotel reviewers: Insights from a decision tree analysis

Thu, 26 Jun 2025 00:00:00 GMT

With the rise of user-generated content, understanding travelers’ propensity to share hotel experiences online has become a critical research area in tourism and hospitality management. This study examines factors influencing travelers’ likelihood of writing hotel reviews, with a particular focus on the role of different online platforms and sociodemographic characteristics. While previous research has explored general motivations for online review writing, little is known about how specific platforms influence review contributions. To address this gap, we conducted an online survey with 739 travelers and applied a machine learning (ML) technique – decision trees (DTs) – to classify customers based on their likelihood to write reviews. This approach allowed us to model non-linear relationships while ensuring interpretability for marketing practitioners. Our findings reveal that frequent use of Facebook for hotel searches, combined with being employed, is the strongest predictor of review-writing behavior, highlighting the role of social media engagement. However, limitations such as non-probability sampling and the omission of certain variables may impact generalizability. This study contributes to the literature by examining the link between platform usage and review-writing behavior, an area that has received limited attention. By employing DTs, a transparent ML approach, our findings offer actionable insights for hotel managers, helping them identify and engage potential reviewers more effectively. Understanding how platform engagement influences review behavior can enhance marketing strategies, encourage review generation, and ultimately shape consumer decision-making in the hospitality industry.

Evolution of public broadcasting: TeleJurnal’s viewership trends and strategic implications for business sustainability

Thu, 26 Jun 2025 00:00:00 GMT

As traditional public broadcasting contends with a more competitive digital environment, Romania’s national broadcaster, Televiziunea Română, confronts crucial questions regarding audience engagement from a business standpoint. This research examines the viewership trends of TeleJurnal, the network’s main flagship news program, utilizing data from 2018 to 2022, and projects forecasts for 2023–2025. By employing a time-series autoregressive moving-average model, this article assesses the stationarity and autocorrelation of audience data to evaluate the consistency of ratings amidst external factors such as changes in programming strategy, political events, and market competition. The results show notable steadiness in TeleJurnal’s viewership, offering considerable strategic benefits and allowing for more assured long-term planning for programming and revenue generation. The consistent audience patterns we identified enhanced the broadcaster’s position in advertising discussions and supported more precise budget forecasts while revealing opportunities to capitalize on seasonal viewing trends for optimized advertising revenue. Nonetheless, financial limitations and digital disruption may alter audience tastes and diminish the effectiveness of conventional television formats. By implementing data-centric content creation and business planning strategies, TeleJurnal can sustain its competitiveness and fulfill its duty as a public service entity in a changing media environment. The insights derived from this study provide actionable advice to maintain audience fidelity, enhance financial outcomes, and adjust to evolving market dynamics.