Market Applications Research Articles

15 Years of application of digital marketing and other technologies in tourism: A bibliometric analysis and systematic literature review

The objective of this bibliometric analysis is to examine the gradual evolution of research on digital marketing and other relevant technologies in the tourism sector from 2009 to 2023. A total of 102 papers were selected from the Scopus database, and the analysis was conducted using programs such as R Studio. The bibliometric and systematic literature review research dimensions, such as the overall number of citations, the articles with the highest citation counts, the authors with the most citations, the journals with the highest citation rates, and the networks of nations involved in research activities, were investigated. The study’ reveal the patterns of year-on-year expansion in publications and the incorporation of new keywords within the field of tourism research. It provides details on esteemed academic publications, influential authors, collaborative efforts, and nations involved in the field of tourism research, thereby providing insights into the current developments taking place in the area of various scholarly works. This study provides valuable insights for future researchers since it effectively reviews and analyses the current body of literature, identifies areas where information is lacking, and proposes novel approaches for further research. Nevertheless, the scope of this study is limited to data extraction exclusively from a specific database, impeding its applicability to a broader context.

Impact of source credibility on behavioural responses to a mental health promotion social marketing campaign

PurposeSource credibility is a key influencing factor across both commercial and social marketing. It is perhaps even more important for the latter given that the issues under consideration generally have substantial implications for both individual and societal health and well-being. The Act-Belong-Commit campaign is a world-first population-wide application of social marketing in the area of positive mental health promotion. This study aims to focus on the perceived credibility of the Act-Belong-Commit campaign as a source of information about mental health as a predictor of three types of behavioural responses to the campaign: adopting mental health enhancing behaviours; seeking information about mental health and mental health problems; and seeking help for a mental health problem.Design/methodology/approachA state-wide survey was undertaken of the adult population in an Australian state where the Act-Belong-Commit campaign originated. The survey included measures of the above three behavioural responses to the campaign and measures of respondents’ perceptions of Act-Belong-Commit’s source credibility. Logistic regression analyses were performed to determine whether the three behavioural responses can be predicted based on perceived source credibility. The predictive performance of the model was examined by receiver operating characteristic curve analysis.FindingsGreater perceived source credibility was significantly associated with having done something for their mental health and for having sought information, and an increased likelihood, but not significantly so, of having sought help for a mental health problem.Originality/valueDespite the acknowledged importance of source credibility, there has been little published research that the authors are aware of that has looked at the impact of such on the effectiveness of social marketing campaigns. To the best of the authors’ knowledge, this is the first published study of the association between source credibility and behavioural response to a social marketing campaign.

Intelligent risk management system for enhancing performance of stock market applications

This paper proposes an intelligent risk management system in stock markets based on indications of social media platforms. Based on a brief survey, we found that the literature focuses on identifying, assessing and optimizing risks in stock markets using classical data sources as well as utilizing mathematical, statistical and machine learning techniques. So, we suggest a trendy data source that is social media and employing natural language processing as an advanced technique to identify and estimate risks in stock markets. This NLP model can help the investors of stock markets to be aware of the potential risks, its types and magnitudes which can help them to take the best decisions. In addition, we describe this model and some important expressions for risk analysis, risk recognition and risk estimation are driven. Besides, a practical experiment is provided to identify and evaluate the potential risks in NASDAQ stock market. Moreover, several performance measures are used to validate the efficiency of the proposed model such as the mean accuracy for the processes of risk analysis, risk identification and risk assessment is 73.33 %.

Federated learning method for dynamic weight adjustment: An in-depth analysis of FedDyn algorithm

With the gradual enrichment of the application of deep learning in daily life, distributed machine learning has played a greater role in daily life, among which federated learning and its optimization algorithm FedDyn algorithm have begun to receive widespread attention. After introducing federated learning and traditional algorithms, this paper starts with the operation mode and framework of the FedDyn algorithm, takes the combination method of port selection strategy and global distribution as an example, analyzes the characteristics of some links in the operation process and uses the innovation points of the FedDyn algorithm : Dynamic weight adjustment is the entry point, which illustrates the advantages of the FedDyn algorithm in current use, and also points out some of the current problems. Finally, from the aspect of market application, the current application status of the algorithm is introduced from the aspects of personalized recommendation, medical treatment and finance, and the future development of the algorithm is prospected.

PENERAPAN DIGITAL MARKETING SEBAGAI INFORMASI BARANG DAGANGAN DI PASAR NUSUKAN SOLO

ABSTRACT One form of application that can be used as a digital marketing medium is imooji. The imooji digital application was not yet known to market traders and was only discovered when the PKM team arrived. This community service activity aimed to increase participants' knowledge in understanding the concept of digital marketing using the imooji application, namely contents containing photos of merchandise found at market stalls. The participants in the activity were 8 traders and shop owners. The method of implementing activities was through the application of digital marketing, creating content for the imooji application. This is done because kiosk traders do not understand digital technology. Next, the team provided a brief explanation regarding the use of imooji which can be shared via social media such as WA, FB, and IG. The results of the implementation of the community service activities showed that not all participants are technologically literate and understand how to use imooji via cellphone because half of the participants are elderly, namely over 55 years, thus made it difficult to understand the imooji digital work process. Creating imooji content by providing a link containing a catalog of goods sold at market stalls can be easily shared with various participant social networks. This activity is expected to foster an entrepreneurial spirit in the digital era.

Historical development, significance and application of marketing in agribusiness

Market conditions in which the agricultural sector does business are continuously changing and developing. The agricultural sector competes with the competition when the only constants in agricultural production are great turbulences of agroclimatic conditions, and permanent changes in the market. Those changes are happening rapidly, which causes oscillations in business results, and it often leads to disappointment and desertion of the agricultural sector, especially by young, mobile, and working people. This chapter aims to offer a concept of modern marketing, so its implementation into the agricultural sector would contribute to more efficient and effective work. Also, it would lead to better results for all partakers of agricultural sectors, especially agricultural producers. Today, the battle for a better and more profitable position of agricultural producers in domestic and foreign markets is unimaginable without applying strategies and tools of modern marketing. To master the competitive advantage and maintain it on the market for a long time is a complicated process for the biggest and richest companies of today. It is especially hard and complex for participants from the agricultural sector because of the countless specificities of agricultural producers, and agricultural production itself. The finding of the review and research is that domestic agricultural producers are the main, but the weakest link in the chain of the agricultural sector. They are faintly, or not at all prone to using marketing management, strategies, and tools of marketing, like market segmentation, targeting, product differentiation, as well as combining elements of the marketing mix in their business activities and their value offer to customers. By doing this, they significantly make their market position more difficult, and they reduce competitiveness on both domestic and foreign markets of agricultural products, or in a broader sense, the whole agricultural sector. The most current trends of modern marketing practice are represented in this review, together with solutions for their implementation into the agricultural sector.

Target-Responsive DNA Nanoclaw for the On-Site Identification of Chinese Medicines with Naked Eye.

The identification of Chinese medicinal herbs occupies a crucial part in the development of the food and drug market. Although molecular identification based on real-time PCR offers good versatility and uniform digital standards compared with traditional methods, such as morphology, the dependence on large-scale equipment hinders spot detection and marketable applications. In this study, we developed a DNA nanoclaw for colorimetric detection and visible on-site identification of Chinese medicines. When specific miRNA is present, the DNAzyme is activated and cleaves the substrate strand, triggering the catalytic hairpin assembly (CHA) reaction and forming branched DNA junctions on AuNP-I. This can then capture AuNP-II through hybridization and facilitate their aggregation, resulting in a noticeable color change that is observable to the naked eye. By harnessing the dual amplification of DNAzyme and CHA, this highly sensitive nanoprobe successfully achieved specific identification of Chinese medicines. This offers a new perspective for on-site testing in the herbal market.

From use cases to business cases: I-GReta use cases portfolio analysis from innovation management and digital entrepreneurship models perspectives

This study provides a detailed exploration of how innovation management and digital entrepreneurship models can help transform technical use cases in smart grid contexts into viable business cases, thereby bridging the gap between technical potential and market application in the field of energy informatics. It focuses on the I-GReta project Use Cases (UCs). The study employs methodologies like Use Case Analysis, Portfolio Mapping of Innovation Level, Innovation Readiness Level, and the Tech Solution Business Model Canvas (TSBMC) to analyse and transition from technical use cases to viable business cases. This approach aligns technological solutions with market demands and regulatory frameworks, leveraging digital entrepreneurship models to navigate market challenges and foster energy management, sustainability, and digitalization.

The Contribution of Marketing to The Distribution of Agri-Food Products in Albania and the Possibility of Import Substitution

Purpose: The aim of this study is to analysis of the existing situation in the development of the competitiveness of agricultural products and the possibility of replacing imported products. Theoretical Framework: This analysis will be studied in the framework of the impact of marketing to increase the performance of local products in the market. Method: During the work, the quantitative method of data collection was used, mainly the questionnaire was used for data collection. A combination of primary and secondary data was used. We collect 50 data from companies. But we finalized 30 data for analysis. Research methods in this study include multivariable methods along with factor analysis, regression techniques, correlation, and forecasting techniques. Results and Conclusion: The agricultural sector has a fundamental importance in the social and economic development of the country. This sector contributes about 19% to the country's GDP (INSTAT, 2023a) and covers 36.4% of total employment (INSTAT, 2023b). The companies of the agri-food sector and agricultural farms in Albania, through the application of marketing, should identify their potential and opportunities, where in addition to these opportunities, good management based on development plans is required for each product or agricultural culture Research implications: It is a fact that Albania has not moved much in the direction of increasing production capacities, not meeting the demands and needs of consumers with local production and distribution of agri-food products. Originality/value: Part of this study shows that agricultural product manufacturing companies have well-integrated marketing components, especially promotion and distribution channels.

Strategi Pengembangan UMKM Dengan Ide Kreatif Melalui Program Kuliah Kerja Nyata Di Kelurahan Kolo

The Real Work Lecture (Kuliah Kerja Nyata or KKN) at STIE Bima is a community empowerment activity carried out by students and Field Supervisors (DPL). This KKN program at STIE Bima took place from August 18 to October 18, 2023, in the Kolo Sub-District. It is undeniable that the Kolo Sub-District has natural potential that needs to be developed through tourism and marine resources by promoting Micro, Small, and Medium Enterprises (MSMEs) and creative industries to be more innovative. The method used in the implementation of the KKN at STIE Bima is through participatory approaches and community involvement in interactions and data collection with MSME actors at the Kolo Sub-District Office. The results obtained from this KKN program include the enhancement of the local community's knowledge in Kolo Sub-District in improving MSMEs and creative industries, thus creating new job opportunities for the community through the application of digital marketing and providing local tourism needs to attract both domestic and international tourists.

Preparation and research of new black zirconia ceramics

The existing black zirconia has problems such as uneven color development, poor stability, expensive raw materials, and harm to the human body and the environment. In order to solve the above problems, this paper intends to use NiAl2O4, NiTiO3, Fe2O3 as chromophore, zirconia as a matrix, and a solid-phase method is used to prepare high-performance black zirconia ceramics. The method avoids the introduction of toxic elements, and at the same time, it is more economical in the selection of color-developing pigments. The experimental results show that black zirconia ceramics with uniform color, continuous adjustment and high temperature stability can be obtained. When the sintering temperature is lower than 1450 °C and the color material mixing ratio is 10 wt.%, the mechanical properties and optical properties of the obtained samples optimum, the overall reflectance of the sample is less than 10 wt.%, which meets the conditions for market application. These black ceramics can be widely used in high-tech fields such as mobile phone backplanes, photovoltaic industry and high-end decorative materials, and have broad application prospects.

Standardising Patient Engagement in Drug Development

Initiatives to increase patient engagement in drug development have recently been accompanied by growing calls for standardisation due to considerable uncertainties about how to best perform patient engagement and use it in drug marketing applications. We focus on materials developed by the Patient Focused Medicines Development (PFMD), a multi-stakeholder group founded in 2015, to investigate what these materials seek to standardize on patient engagement in drug development and what visions of patient engagement are being constructed by them. We take a material-semiotic approach, whereby the materials analysed are seen as influential actors, which can work upon and transform issues of concern. The findings indicate that these materials seek to standardise a new beginning for the drug development trajectory, which they (re)locate to the patients’ needs and preferences, and long-term relationships between researchers and patients developed through specific methods. A new type of patient is thus envisioned, while researchers and patient organisations are ascribed more complex roles.

Modeling the Impact of Different Policies on Electric Vehicle Adoption: An Investigative Study

Electric Vehicles (EVs) emerge as a crucial solution for alleviating the environmental footprint of the transportation sector. However, fostering their widespread adoption demands effective, targeted policies. This study introduces a versatile model, amalgamating stakeholders and policies and leveraging local data with broader market applicability. It delineates two key EV adopter groups—innovators and imitators—shedding light on their evolving impact on adoption trends. A pivotal feature of the model is the factoring of EV attractiveness, comprising Life-Cycle Cost (LCC), Driving Range, Charging Time, and infrastructure availability, all of which are expected to improve with the fast technological advancement of EVs. Financial policies, notably subsidies, prove potent in boosting EV adoption but fall short of targeted sales due to imitator lag. In response, a pragmatic solution is proposed: a government-led EV acquisition of 840 EVs, coupled with a 20% subsidy on new EV purchases and a 20% tax on new ICEV purchases, potentially realizing a 30% EV sales target by 2035. Future research avenues may delve into behavioral dynamics prompting imitators’ adoption, optimizing EV infrastructure strategies, and assessing the socio-economic impacts of EVs. Interdisciplinary approaches hold promise for enriched insights for effective EV integration policies.

Supplementary Influence Maximization Problem in Social Networks

Due to important applications in viral marketing, influence maximization (IM) has become a well-studied problem. It aims at finding a small subset of initial users so that they can deliver information to the largest amount of users through the word-of-mouth effect. The original IM only considers a singleton item. And the majority of extensions ignore the relationships among different items or only consider their competitive interactions. In reality, the diffusion probability of one item will increase when users adopted supplementary products in advance. Motivated by this scenario, we propose a supplementary independent cascade (IC) and discuss the supplementary IM problem. Our problem is NP-hard, and the computation of the objective function is #P-hard. We notice that the diffusion probability will change when considering the impact of its supplementary product. Therefore, the efficient reverse influence sampling (RIS) techniques cannot be applied to our problem directly even though the objective function is submodular. To address this issue, we utilize the sandwich approximation (SA) strategy to obtain a data-dependent approximate solution. Furthermore, we define the supplementary-based reverse reachable (SRR) sets and then propose a heuristic algorithm. Finally, the experimental results on three real datasets support the efficiency and superiority of our methods.

Identifying High-Priority Populations for Dietary Salt Reduction Using the TARPARE Model: A Cross-Sectional Study.

The application of social marketing to public health activities has recently garnered attention. This study aimed to identify high-priority segments for salt reduction interventions using the TARPARE model in a rural Japanese city. This cross-sectional study used convenient sampling. Scored indicators of the TARPARE model were used, and data was collected from 1874 adults to establish the priority order of target segments for promoting salt reduction. The model considers the total number of individuals (T), at-risk persons (AR), persuasibility (P), accessibility (A), resources required (R), and equity (E). For T, the salt content was evaluated using spot urine, and the salt check sheet was scored for each segment according to sex and age in the city's population. AR was the individuals who were overweight. P was determined by the behavior modification stage of salt reduction, unknown recommended salt reduction goals, and lack of knowledge in at least one aspect of salt reduction. A and R were characterized by communication with family or friends and family support, respectively. E was considered an education up to high school. The average aggregated score was 19.9 (standard deviation = 14.0), with higher scores in segments that consistently subjectively restrict salt intake but have a high objective salt intake. The highest priority was given to women in their 60s (49.3 points) and 70s (54.4 points). This study identified high-priority populations for salt reduction in a rural city in Japan. Our priority segments offer guidance for efficient and targeted interventions for salt reduction initiatives.

Mechanical Characterizations on biobased Sheet Molding Compound (SMC) developed for battery boxes.

In this work, performed within FENICE project (www.fenice-composites.com), semifinished materials for the mass production of fire-resistant battery box in the automotive. SMC were developed using PFA (polyfurfuryl alcohol) resin as the matrix and both long and short basalt fibers as reinforcement in a SMC and impregnation pilot line. Mechanical characterization is used to compare prepreg based on fabric impregnation and SMC and measure basic data needed for modelling. Short fiber reinforced composites are cheaper and more isotropic than those reinforced with fabrics, making them more interesting for mass market application in the automotive, such as electrical cars. The semifinished material production must be optimised, and basic mechanical data must be measured, to be used as input into FEM of the components to be produced.

PERANCANGAN APLIKASI FOOD MARKET BERBASIS ANDROID PADA USAHA DIDIMSUM

The rise of the online food business is undeniably due to the increasing needs and lifestyles of the people. The existence of busy work makes people order food from outside because it is easier, more practical, and efficient, and payment transactions can be done through E-wallets or bank transfers with a payment gateway payment system. Didimsum is a home-based business engaged in frozen food. The current problem is that in ordering using WhatsApp, and payments are still in cash, customers find it difficult to get the latest menu information. This research aims is to design an Android-based food market application for Didimsum to make it easier to reach customers, improve brand image, speed up the ordering process, and update menus and prices. The research was conducted with a field research methodology to obtain information directly from the Didimsum frozen food business. The techniques in data collection are observation, interviews, and document studies. The result is an Android-based Food Market Application system that can receive orders and payments from customers so that they are well-recorded and produce order and payment reports more quickly and accurately.

Exploiting the Value of Active and Multifunctional Façade Technology through the IoT and AI

In recent years, the interest in multifunctional façade (MF) technology has increased significantly. Recent advances in the integration of active and passive technologies have led to a new concept of building skins with highly flexible and decentralized control. Such an approach is considered capable of tackling environmental challenges and enhancing indoor environmental quality (IEQ). Integrated HVAC systems, dynamic blinds, and renewable energy systems can drastically increase façade responsiveness and efficiency. Although the technical feasibility of active and MF technology has already been demonstrated, market applications are still limited. The goal of this paper is to define the state of the art of MFs and clarify how the integration of IoT technologies, supported by AI, can increase market interest by fully exploiting the value of these systems. Indeed, recent advances in the IoT and data analysis tools are opening up attractive scenarios in optimization process. Starting with an overview of the most interesting EU-funded projects, this paper presents a MF case study in which IoT infrastructures are fully integrated. The prototype, realized within the MEZeroE Horizon project, stimulates a debate on future trajectories (and gaps) for the marketability of MF.

Guest editorial: Artificial intelligence application and future research directions in interactive marketing

Guest editorial: Artificial intelligence application and future research directions in interactive marketing

Deep learning-based fruit quality classification for customer service

Consumers always select and buy good quality fruits and vegetable. Selection criteria depend upon the freshness, shape, appearance, color, aroma and sturdiness at the first go. The taste and the shelf life come after that. As fruits play main role in day to day life, the grading of fruits is necessary in evaluating agricultural produce. The present existing technology are also used for fruit quality managing purpose but they are not more effective. There are some disadvantages like less reliability, less efficiency and less accuracy. In this paper, we would like to present a design and integration fruit quality classification solution for customer service. The purpose of this integration is to develop a service to classify the quality of fruits for customer in applications in agriculture, market or logistic.