Опубликована: Июль 26, 2024
Язык: Английский
Опубликована: Июль 26, 2024
Язык: Английский
Information, Год журнала: 2024, Номер 15(2), С. 67 - 67
Опубликована: Янв. 23, 2024
Agriculture firms face an array of struggles, most which are financial; thus, the role decision making is discerned as highly important. The agroeconomic indexes (AEIs) Employment Rate (AER), Chemical Product Price Index (CPPI), Farm (FPPI), and Machinery Equipment (MEPI) were selected basis this study. This research aims to examine connection between digital marketing analytics while providing valuable insights into their decision-making process, with utilization AI (artificial intelligence) models. Thus, a dataset website was collected from five well-established agriculture firms, apart values referred indexes. By performing regression correlation analyses, index relationships firms’ extracted used for deployment fuzzy cognitive mapping (FCM) hybrid modeling (HM) processes, assisted by using artificial neural network (ANN) Through above there strong AER, CPPI, FPPR, MEPI metrics branded traffic, social search traffic sources, paid organic costs firms. It highlighted that better understand sector’s employment rate volatility farming, chemicals, machine equipment prices future investment strategies should try increase in preferred applications.
Язык: Английский
Процитировано
7Sustainability, Год журнала: 2024, Номер 16(10), С. 4310 - 4310
Опубликована: Май 20, 2024
Over the past two decades, environmental sustainability has become a key corporate and organisational issue. Today, firms are increasingly turning to existing emerging digital technologies help ensure that they meet medium long-term needs expectations of customers other stakeholders with respect performance. This raises important question which digitisation factors most significantly impact performance, as well mediating factor innovation balance (the ability firm exploration new innovations exploitation innovations). A comprehensive survey instrument was developed refined through expert feedback pilot study, leading data collection from 374 professionals in Freight Logistics industry Saudi Arabia, all whom held senior positions areas such business development, IT, Environmental, Social, Governance (ESG) departments. then analysed using structural equation modelling (SEM). The results this analysis showed impacting performance were competence, strategy alignment, adaptability, exploration. These findings contribute current literature by expanding our understanding real-world drivers In practical terms, study will managers improve enhancing resource efficiency, streamlining, supply chain management, improving employee engagement training, fostering culture within organisation.
Язык: Английский
Процитировано
7Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)
Опубликована: Март 6, 2025
Abstract Firms are increasingly shifting towards digital channels, yet the implications of this shift remain underexplored. Using a unique database customer behaviors extracted from top 2000 mobile apps developed by companies in China, study investigates impact on inefficient corporate investments. The results indicate that metrics such as active user count, usage duration, and app launch frequency can mitigate investments, notably curtailing overinvestment. These findings survive series robustness checks altering measures investment, extending analysis to include five apps, incorporating H-share listed firms, employing instrumental variables regression. Moreover, mechanism indicates help reduce investments lowering agency costs relaxing financial constraints. Further examines business models these (paid vs. free) well their reputation mechanisms, revealing pricing strategies brands also play role how adoption affects investment.
Язык: Английский
Процитировано
0Enterprise Information Systems, Год журнала: 2024, Номер 18(9)
Опубликована: Сен. 1, 2024
The financial landscape is undergoing a revolution with the Decentralized Finance (DeFi), poised to reshape business value creation. This study provides an overview of research progress in DeFi from both and information systems perspectives. Employing hybrid bibliographic approach TCM framework, we aim uncover collaboration trends, developmental characteristics, knowledge structures. Through various network analyses, including co-occurrence networks keyword networks, as multidisciplinary field focus on leveraging emerging, can construct decentralised ecosystems for finance. Looking ahead, there potential further explore advantages maximising
Язык: Английский
Процитировано
4Buildings, Год журнала: 2024, Номер 14(11), С. 3480 - 3480
Опубликована: Окт. 31, 2024
This paper explores the transformative impact of agent-based modeling (ABM) on architecture, engineering, and construction (AEC) industry, highlighting its indispensable role in revolutionizing project management, processes, safety protocols, sustainability initiatives including energy optimization occupants’ comfort. Through an in-depth review 178 documents published between 1970 2024 current practices integration ABM with emerging digital technologies, this study underscores critical importance facilitating enhanced decision-making, resource optimization, complex system simulations. For instance, is shown to reduce delays by up 15% through allocation improve outcomes simulating worker behavior identifying potential hazards dynamic environments. The results reveal ABM’s significantly methodologies, integrate technological advancements seamlessly, contribute development sustainable resilient building practices. Furthermore, identifies key areas for future research, exploration capabilities conjunction other innovations unlock new avenues efficiency construction. sets out a forward-looking agenda providing approach address contemporary challenges harness opportunities innovation growth AEC sector.
Язык: Английский
Процитировано
3Applied Economics, Год журнала: 2024, Номер unknown, С. 1 - 19
Опубликована: Июль 4, 2024
Процитировано
1Electronics, Год журнала: 2024, Номер 13(16), С. 3256 - 3256
Опубликована: Авг. 16, 2024
In today’s competitive digital landscape, banking firms must leverage qualitative and quantitative analysis to enhance their website interfaces, ensuring they meet user needs expectations. By combining detailed feedback with data-driven insights, banks can create more intuitive engaging online experiences, ultimately driving customer satisfaction loyalty. Thus, the need for behavior evaluate its interface is critical. This study focused on five biggest collected big data from websites. Statistical was followed validate findings ensure reliability of results. At same time, agent-based modeling (ABM) System Dynamics (SD) were utilized simulate behavior, thereby allowing prediction responses changes optimization website, obtain a comprehensive understanding enabling user-friendly interfaces. interdisciplinary approach found that various analytical metrics, such as organic paid traffic costs, referral domains, email sources, tend impact firms’ purchase conversion, display ads, traffic, bounce rate. Moreover, these insights into visibility, combined behavioral neuromarketing study, indicate specific areas performance improvement.
Язык: Английский
Процитировано
1Journal of Computational and Cognitive Engineering, Год журнала: 2023, Номер unknown
Опубликована: Янв. 1, 2023
Throughout crises and financial prosperity, the role influence of small medium supply chain enterprises (SMEs) have been solid key factors for economic growth global markets. Hence, a great need arises digital promotion to keep up with recent technological advancements. Such an aim could be achieved by SMEs in optimizing results their websites search engines utilizing content (DC) web pages. This research is focused on optimization SMEs' engine from efficient management DC. The authors collected big data DC five performed statistical analysis (correlation linear regression analysis), followed six fuzzy cognitive mapping simulation scenarios. Supply customers enter website are found capable producing metrics, originating interaction webpage, which valuable since they impact performance results. outcomes this study indicate that specific related customers' activity, can accurately simulate predict course marketing KPIs (global rank, organic, paid traffic). It has discerned enhance results, increasing traffic social sources, organic keywords, costs required advertising campaigns. Accordingly, increased number pages opened visitors also indicates enhanced Conflicts Interest declare no conflicts interest work.
Язык: Английский
Процитировано
3Опубликована: Янв. 19, 2024
Язык: Английский
Процитировано
0Journal of Infrastructure Policy and Development, Год журнала: 2024, Номер 8(8), С. 6080 - 6080
Опубликована: Авг. 27, 2024
Nowadays, the survival and sustainability of SMEs promotion their services have become key goals for economic growth many countries. Logistics seek to improve digital marketing development, by managing re-engineering process budget. To achieve this goal, logistics should capitalize on big data from websites that are capable depicting development level. The authors selected 5 sector collected 365 days. Then, statistical analysis tools (correlation linear regression models), as well Fuzzy Cognitive Mapping (FCM) models were utilized. It is highlighted various budget levels affect differently. More specifically, a 500$ 2500$ could bring more users (new returning) SMEs’ websites, but only if investments transcend 5000$ help these firms rank higher in search engines (authority score). Thus, simulate course specific metrics setting desired
Язык: Английский
Процитировано
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