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The Silver Generation, the population made up of older adults, in countries like Spain and those in its immediate surroundings, represents a demographic segment in constant growth, as a consequence of the increase in life expectancy, and with an increasingly greater percentage weight on the total population, due to the decrease in the birth rate. The main objective of this work is to know and analyze the characteristics and behaviors of this diverse and heterogeneous demographic profile, which is gradually adapting to the use of new technologies, including their preferences regarding the different channels or media they use, the way they relate to the offering companies and their products and services, as well as their assessment of the effectiveness of current marketing strategies aimed at older people. A quantitative methodology has been used, based on a primary source, a survey carried out on people over 55 years of age residing in Spain. The results reflect the existence of significant discontent regarding advertising campaigns directed towards that generation, since they estimate that they do not use the most appropriate channels and coherent strategies, and they are not developed with respect to their way of being and thinking. It is concluded that personalization in treatment, the generation of trust and improving accessibility to new purchasing systems should allow for solid and lasting commercial relationships between companies and this generation. [ABSTRACT FROM AUTHOR]

Customer numbers and comments have been extensively studied to increase hotel arrivals and loyalty, whereas the specific distribution and sentiment variations have received less attention. This study constructed a data set of hotel customers and the deep learning model was applied to quantify unstructured text, which can mine the distribution and sentiment variation patterns of different star hotel customers. The findings show that customers of different star-rated hotels have different variation patterns of sentiment and distribution. There is a negative correlation between the visit heat and sentiment of some high-star hotels in various administrative regions: regions with lower visit heat have higher sentiment scores. In addition, season and location are important factors that affect customers' sentiments. This study is the first to use a quantitative approach to examine the distribution and sentiment variation patterns of hotel customers. It provides insights into appropriate marketing strategies for the hotel industry and offers practical suggestions to hotel customers. [ABSTRACT FROM AUTHOR]

Social media has entrenched itself as an indispensable marketing tool. We introduce a quantitative approach to predicting the popularity of social media posts within the café and bakery sector. Employing Multi‐Pop, a multimodal popularity prediction model that harnesses both images and text from post content, it utilizes the features of posts that significantly influence their popularity on one of the most widely used platforms, Instagram. By focusing solely on post‐content features and excluding user information, we analysed 8765 Instagram posts from the cafe and bakery domain, revealing that our model attains a superior accuracy rate of 82.0% compared with existing popularity prediction methods. Furthermore, the study identifies hashtags and post captions as exerting a greater impact on post popularity than images. This research furnishes valuable insights, particularly for small business owners and individual entrepreneurs, by introducing novel computational and empirical methodologies for Instagram marketing strategy and post popularity prediction, thereby enhancing the comprehension of social media marketing dynamics. [ABSTRACT FROM AUTHOR]

Integrated Marketing Communication (IMC) represents a pivotal approach in contemporary business, emphasising the coordination and integration of various communication tools to achieve a coherent and consistent message. This research investigates how Croatian companies have integrated IMC into their marketing strategies within the Croatian business environment. The findings indicate a growing trend of adopting this integrated approach, with a primary focus on consistency, personalisation and effectiveness of IMC activities. A synergy between marketing communication channels and an emphasis on adaptable, innovative IMC strategies has been recognised. However, challenges such as inter-departmental coordination within companies and optimisation of IMC strategies are pointed out as areas that require further attention. Despite these challenges, Croatian companies recognise the importance and potential of IMC as a strategic tool to enhance their market visibility and competitive advantage. Considering the dynamism of the market environment, continuous innovation, education, and adaptation are crucial for achieving the long-term success of IMC strategies. [ABSTRACT FROM AUTHOR]

This study aims to determine whether news consumption, media trust, interest in news, and political affinity are correlated with the generational segment of the market, measured by the age of the digital audience. Furthermore, this study seeks to verify whether age is associated with digital audiences’ paying attention to journalists or news brands. This research is based on a survey of 2,005 people in Mexico by YouGov in 2022, commissioned by the Reuters Institute for the Study of Journalism at the University of Oxford as part of its annual Digital News Report. The statistical method used was the chi-square test of independence between qualitative variables. The results showed that age correlates with consumption habits, media trust, interest in news, and citizens’ political affinity for digital audiences in Mexico. Moreover, age relates to whether digital audiences focus on journalists or news brands in Latin America. This study delves into the characteristics of digital audiences in Mexico and contributes from a media economics, media management, and media marketing perspective. It also helps media organizations assess their market strategy, market segmentation, and target markets based on the characteristics of digital news audiences in Mexico. [ABSTRACT FROM AUTHOR]

The observed money demand in the U.S. had a stable negative relation with the interest rate up until the 1990s. After this period, this relation fell apart and has never been restored. We show that the central bank's ability to gather information, referred to as market intelligence (MI), matters to generate an upward‐sloping money demand curve. We calibrate the model to the U.S. data for the period from 1990 to 2019 and show that MI helps to match the money demand. We also show that it is beneficial for the society, since it mitigates the inefficiency associated with asymmetric information. [ABSTRACT FROM AUTHOR]

For several stakeholders, including market players, customers, grid operators, policy-makers, investors, and energy efficiency initiatives, having a precise estimate of power pricing is crucial. It is easier for traders to plan, purchase, and sell power transactions with access to accurate electricity price forecasting (EPF). Although energy production and consumption topics are widely discussed in the literature, EPF and renewable energy trading studies receive less attention, especially for intraday market modeling and forecasting. Considering the rapid development of renewable energy sources, the article highlights the significance of integrating the deep learning model, long short-term memory (LSTM), with the proper trading strategy for short-term hourly renewable energy trading by utilizing two different spot markets. Day-ahead and intraday markets are taken into account for the West Denmark grid region (DK1). The time series analysis indicates that LSTM yields superior results compared to other benchmark machine learning algorithms. Using the predictions obtained by LSTM and the recommended trading strategy, promising profit values are achieved for the DK1 wind and solar energy use case, which ensures future motivation to develop a general and flexible model for global data. [ABSTRACT FROM AUTHOR]

The study aimed to assess the digital leadership strategies, methods, and technological emphasis that contribute to IKEA's successes in its digital leadership journey. The study utilized a qualitative case study methodology, drawing upon published sources such as recorded interviews, documentaries, retail and consumer industry observations, and relevant literature on IKEA and the retail and consumer business. Findings demonstrate several strategic orientations, philosophies, and tactics employed by IKEA to achieve digital leadership excellence. A comparative analysis of digital leadership between IKEA and some global R&C businesses reveals IKEA's strategic uniqueness in digitalization. The research concludes by proposing a process model that identifies several factors, including networking, customer understanding, marketing strategies, talented HR specialists, and smart technologies for operations. By applying change management theories, manufacturing theories, and innovation theories, these factors can potentially contribute to achieving success in digital leadership. The study tries to triangulate digital leadership strategies, management thoughts, and R&C business operations. [ABSTRACT FROM AUTHOR]

This article investigates theoretical and methodological approaches to developing a marketing strategy for public procurement management in the context of European integration processes and reform of the public procurement system in Ukraine. The necessity of implementing a marketing strategy as an effective tool to increase the efficiency and transparency of public procurement activities is substantiated under modern economic conditions. The conceptual foundations for the formation of a marketing strategy for public procurement management are defined. Its main goal is to build successful and long-term partnerships between public customers and supplier companies based on the rational use of budget funds and the development of effective competition. Priority functions of the marketing strategy are outlined: comprehensive marketing analysis of public customers' needs; market research to find the most competitive suppliers; ensuring effective communication between all participants; and the implementation of effective marketing measures to increase transparency and the openness of procurement procedures. A universal step-by-step algorithm for the formation of a public procurement marketing strategy is developed, including the following: analysis of the current state and identification of deficiencies in the existing system; clear definition of targets, objectives and priority areas for reform; selection of optimal marketing tools; directly implement the strategy and continuously monitor the results. A comprehensive classification of the types of marketing strategies in public procurement by their target orientation is presented. To increase the validity and minimize risks in decision-making regarding supplier selection, an original mathematical model for the formation of competitive prices based on nonlinear programming methods is proposed. This model allows considering the interests of all participants in the procurement process: determining the optimal vector of prices for goods/services based on the utility functions and preferences of customers, their budget constraints, and the technological capabilities of potential suppliers. The versatility of the model lies in the possibility of its application for any number of participants and product groups. The implementation of an effective marketing strategy for public procurement management will contribute to the formation of a highly efficient, transparent and competitive public procurement system focused on the rational use of budget funds, the development of fair competition among suppliers, and the minimization of corruption risks in this area. [ABSTRACT FROM AUTHOR]

The current article reviews the opinions and counterarguments within the scientific argument on the causal linkage between the components of marketing strategy and client loyalty. The systematization of the literary sources demonstrated that the causal connections from the components of marketing strategy to client loyalty are different. However, nearly none of the research projects have rated and compared the differences among the components of marketing strategies in improving client loyalty. Therefore, the key purpose of this article is to weigh the relative importance of the components of marketing strategy to client loyalty. The current research developed research hypotheses based on experiential learning theory, resource dependency theory, and social exchange theory. Vietnam was chosen as a case study because it is one of the fastest emerging economies. The research data were gathered by employing a structured questionnaire. For this research, responses from 210 enterprises were collected using the simple random sampling method from 1128 firms publicly listed on the main stock exchanges in Vietnam. Finally, this research yielded 222 suitable replies with satisfactory compulsory information. Then, this project employed the procedures of the analytic hierarchy to assess the comparative importance of the components of Product, Price, Place and Promotion of marketing strategy to client loyalty. The results show that Price strategy is first, Pricing is second, Sales promotion is third, Advertising is fourth, Allowances is fifth, Discounts is sixth, Public relations is seventh, Channels is eighth, Direct marketing is ninth, Payment terms are tenth, Features are eleventh, Quality is twelfth, Market coverage is thirteenth, Assortment is fourteenth, Branding is fifteenth, Packaging is sixteenth, Location is seventeenth, Inventory is eighteenth, Sercies is nineteenth, Warranties is twentieth, and Transport is the last in improving client loyalty. This research is expected to provide researchers with a better understanding of the comparative significance among the components of marketing strategy for client loyalty. The results of the current research can also support business executives by helping them make better decisions on suitably planning the components of Product, Price, Place and Promotion of marketing strategy in business so that they can gain the best possible efficiency. [ABSTRACT FROM AUTHOR]

This paper argues that the different symbolic meanings of goods give rise to three institutionally different market types. We start from the realization that consumption has symbolic meaning, which individuals use to communicate and construct their identity to their social networks. We argue that firm behavior (including size, pricing and marketing strategies) must be congruent with the symbolic meaning of goods. We distinguish between two stylized meanings of goods, status and taste, which we derive from the socio-anthropological literature on consumption. We argue that these different meanings, articulated by consumers to communicate their identity, give rise to three ideal-typical market types. We present the institutional differences between these market types as well as the implications for firm behavior and demonstrate how firm behavior and marketing strategies differs significantly from markets in which the symbolic meaning of goods is relatively unimportant. We use the recent transformation of the beer market by the craft-beer producers, to illustrate our theory. [ABSTRACT FROM AUTHOR]

Produce such as fruits and vegetables have the production potential on an industrial scale with a low price. Most residents in Sukawarna work as farmers of fruits, horticultural crops and vegetables. Farmers sell raw fruit and vegetable products without diversification. To compete with other economic actors, the government, community, and universities must support the development of high-quality commodity products. However, the community still faces some challenges, particularly their skills or expertise, but in this era, the main issues are knowledge when facing change (transformation) and a lack of creativity in managing superior product commodities to increase sales. The aim of this study is to help economic business actors in Sukawarna develop competitive knowledge and skills by referring to the partners' situation and issues. Community empowerment program facilitators were involved to conduct a participatory action research. It was found that there were several partner problem solutions. The first is the training of the economic actors in Sukawarna on how to manage raw commodity products into processed products with added value. Next is marketing assistance to help partners process vegetables from Sukawarna’s main commodity through accurate marketing strategy in communicating the processed product. The last solution is the use of attractive packaging designs and product labels for processed main commodities in Sukawarna to attract potential consumers. The study results recommend the following: an educational program for the transformation of superior commodities into ready-to-use processed products, assistance with marketing strategies, and designing packaging and product labels to market the processed commodities. [ABSTRACT FROM AUTHOR]

In the dynamic world of finance, the application of Artificial Intelligence (AI) in pair trading strategies is gaining significant interest among scholars. Current AI research largely concentrates on regression analyses of prices or spreads between paired assets for formulating trading strategies. However, AI models typically exhibit less precision in regression tasks compared to classification tasks, presenting a challenge in refining the accuracy of pair trading strategies. In pursuit of high-performance labels to elevate the precision of classification models, this study advanced the Triple Barrier Labeling Method for enhanced compatibility with pair trading strategies. This refinement enables the creation of diverse label sets, each tailored to distinct barrier configurations. Focusing on achieving maximal profit or minimizing the Maximum Drawdown (MDD), Genetic Algorithms (GAs) were employed for the optimization of these labels. After optimization, the labels were classified into two distinct types: High Risk and High Profit (HRHP) and Low Risk and Low Profit (LRLP). These labels then serve as the foundation for training machine learning models, which are designed to predict future trading activities in the cryptocurrency market. Our approach, employing cryptocurrency price data from 9 November 2017 to 31 August 2022 for training and 1 September 2022 to 1 December 2023 for testing, demonstrates a substantial improvement over traditional pair trading strategies. In particular, models trained with HRHP signals realized a 51.42% surge in profitability, while those trained with LRLP signals significantly mitigated risk, marked by a 73.24% reduction in the MDD. This innovative method marks a significant advancement in cryptocurrency pair trading strategies, offering traders a powerful and refined tool for optimizing their trading decisions. [ABSTRACT FROM AUTHOR]

The way firms and marketers promote their products is being shaped by consumer needs and trends alongside the evolution of the marketplace. As web technologies and consumers’ online behavior improve, influencers are becoming increasingly significant in social media marketing strategies. This research intends to investigate a particular digital phenomenon observed in the field of books, namely, marketing books on Instagram. Therefore, the study aims to highlight the key aspects of book influencers' Instagram activity, namely by examining the literature, but also the evolution of the bookstagram phenomenon in a dual perspective in both Romania and the United States. Furthermore, the purpose of this research is to draw attention to the similarities and differences among the existing communities in the two countries pointed out by a quantitative research. On that account, the data analyzed was collected in two different ways, first we retrieved information from Statista online database about the phenomenon in the United States of America and then, we conducted a questionnaire to bookstagram community members in Romania. Accordingly, the paper will contribute to the expansion of the literature on #bookstagram communities in various cultures around the world by providing useful information and a more diverse view of this market. [ABSTRACT FROM AUTHOR]

Investment decision-makers increasingly rely on modern digital technologies to enhance their strategies in today's rapidly changing and complex market environment. This paper examines the impact of incorporating Long Short-term Memory (LSTM) models into traditional trading strategies. The core investigation revolves around whether strategies enhanced with LSTM technology perform better than traditional methods alone. Traditional trading strategies typically depend on analyzing current closing prices and various technical indicators to take trading action. However, by applying LSTM models, this study aims to forecast closing prices with greater accuracy, thereby improving trading performance. Our findings indicate that trading strategies that utilize LSTM models outperform traditional strategies. This improvement suggests a significant advantage in using LSTM models for market prediction and trading decision making. Acknowledging that no one-size-fits-all strategy works for every market condition or stock is crucial. As such, traders are encouraged to select and tailor their strategies based on thorough testing and analysis to best suit their needs and market conditions. This study contributes to a better understanding of how integrating LSTM models can enhance traditional trading strategies, offering a path toward more effective decision making in the unpredictable stock market. [ABSTRACT FROM AUTHOR]

This article introduces NTT research and development (R&D) efforts from two perspectives: the "product-out" approach and the "market-in" approach. It is based on the keynote speech given by Sachiko Oonishi, executive vice president, head of Research and Development Market Strategy of NTT Corporation, at the "NTT R&D FORUM 2023? IOWN ACCELERATION" held from November 14th to 17th, 2023. [ABSTRACT FROM AUTHOR]

In order to enhance market share and competitiveness, large banks are increasingly focusing on promoting marketing strategies. However, the traditional bank marketing strategy often leads to the homogenization of customer demand, making it challenging to distinguish among various products. To address this issue, this paper presents a customer demand learning model based on financial datasets and optimizes the distribution model of bank big data channels through induction to rectify the imbalance in bank customer transaction data. By comparing the prediction models of random forest model and support vector machine (SVM), this paper analyzes the ability of the prediction model based on ensemble learning to significantly enhance the market segmentation of e-commerce banks. The empirical results reveal that the accuracy of random forest model reaches 92%, while the accuracy of SVM model reaches 87%. This indicates that the ensemble learning model has higher accuracy and forecasting ability than the single model. It enables the bank marketing system to implement targeted marketing, effectively maintain the relationship between customers and banks, and significantly improve the success probability of product marketing. Meanwhile, the marketing model based on ensemble learning has achieved a sales growth rate of 20% and improved customer satisfaction by 30%. This demonstrates that the implementation of the ensemble learning model has also significantly elevated the overall marketing level of bank e-commerce services. Therefore, this paper offers valuable academic guidance for bank marketing decision-making and holds important academic and practical significance in predicting bank customer demand and optimizing product marketing strategy. [ABSTRACT FROM AUTHOR]

The research was conducted to analyze the influence of digital marketing strategies, brand image, and influencers on purchasing decisions for Netflix products. The study was analyzed using the questionnaire spread method to find out the significant outcomes of Netflix usage decisions as well as the impact of brand image and digital marketing on the social community. The results of this study showed that each variable has a strong influence on Netflix usage decisions. This can be seen from the results of acquisition and data processes that show significant value, starting with digital marketing that is well branded by the influencer so that Netflix users get information digitally easily. [ABSTRACT FROM AUTHOR]

This review article examines artificial intelligence (AI)’s role in strategic marketing decision-making. The researchers interviewed experts with experience in decision-making and used Carrefour Iraq as a case study to identify themes on how humans use AI for better strategic marketing decision-making. The key themes in this review were factors such as big data, efficiency, quality, trust, and limitations for prediction. The study has also looked into the marketing aspect of these themes within the scope of this research. The findings indicate that AI is recognized as a tool that may support humans in making strategic decisions in marketing. However, AI can technically make such decisions without human intervention; people do not want to give AI-complete autonomy in decision-making. Furthermore, the result implies that rather than making decisions independently, AI is more frequently applied to enhance strategic decision-making. It suggests that Al aims to improve decision-making rather than supplant people in daily life. In addition, the study makes the case that Al can assist humans in making better decisions by forecasting future scenarios that consider a particular action consequence. [ABSTRACT FROM AUTHOR]

The crisis caused by COVID-19 has forced many vendors to consider alternative marketing strategies, such as live streaming on social commerce platforms. Social commerce live streaming involves using live streamers to endorse and sell products on their own social media accounts. Statistics show that this format can serve as a survival tool for vendors in exceptional circumstances. However, it is also a valuable opportunity to bring innovation and engagement to traditional e-commerce vendors. Based on a sample of 621 Chinese consumers, this empirical research proposes that features of live streamers (expertise, attractiveness, and humor) play an essential role in social commerce intention. At the same time, virtual friendship, emotional engagement, and platform attachment are antecedents of online purchasing intentions. It also contends that social presence interaction has a moderating effect on live s-commerce and that these elements together constitute a comprehensive model of live s-commerce. Our findings reveal that virtual friendship, platform attachment, and emotional engagement with live streamers are crucial for increasing buying intentions, and they confirm the mediation effect of social commerce intention and the moderating effect of social presence interaction. The practical and theoretical implications are pointed out to assist brands, managers, retailers, and e-marketplaces in developing effective marketing plans. [ABSTRACT FROM AUTHOR]

City marketing strives to promote a specific city and its parts and emphasises its different characteristics, attractiveness, and competitive advantages. This concept is based on the idea of a high quality of life for its residents and attractive conditions for external target groups. The paper deals with city marketing in Brno, the second-largest city in the Czech Republic. The aim of this paper is to analyse the marketing activities of the city of Brno and to evaluate what image the city has in the eyes of its residents. We conducted a questionnaire survey among 552 residents. In addition to this quantitative approach, we also used qualitative methods, which consisted of interviews with experts from practice. Research has proved that the city is aware of the importance of marketing, but marketing activities have not yet been sufficiently developed. Brno is a city that is considered a good place to live, and the majority of respondents are actively interested in what is happening there. On the other hand, the city's marketing efforts are not visible enough to residents. The research confirms that cities in Central Europe should pay more attention to their marketing. The paper provides policy implications for the implementation of city marketing oriented to residents. [ABSTRACT FROM AUTHOR]

This paper analyses the recent evolution of the electricity price of one of the East-European countries' Balancing Markets (BM) - Romania, aiming to understand the prices trend and predict them in the current economic and geopolitical context. This is especially important as the electricity producers have to allocate their output between wholesale electricity market, ancillary services markets and BM targeting to maximize value and achieve a sustainable economic development. Therefore, in this paper, we propose an AI-powered electricity price forecast using several types of standout Machine Learning (ML) algorithms such as classifiers and regressors to predict the electricity price on BM. This approach, consisting of two steps, identifies the imbalance sign and significantly enhances the performance of the price forecast. The proposed method offers valuable insights into the market participants' trading opportunities using two prediction solutions. The first prediction solution consists of averaging the results of five ensemble ML algorithms. The second one consists in weighting the results of the five forecasting ML algorithms using either a linear regression or a decision tree algorithm. Thus, we propose to combine supervised and unsupervised ML algorithms and find the fundamentals for creating optimal bidding strategies for electricity market players. [ABSTRACT FROM AUTHOR]

Selecting an appropriate marketing strategy based on consumer behavior is a complex decision that involves multicriteria analysis and the incorporation of inherent uncertainties in such behavior. While numerous multi-criteria decision-making methods exist, few effectively address indeterminacy. In this study, the main objective is to select a suitable marketing strategy within a neutrosophic framework, accommodating the complex ambiguities of consumer behavior. Although the CRITIC method is widely used for multi-criteria decision-making, its traditional version struggles to adequately model the uncertainties inherent in consumer behavior. Neutrosophy, as a philosophical approach dealing with uncertainties, presents an opportunity to enhance the CRITIC method. This enhancement results in a more precise model of the phenomenon, facilitating the selection of the best among a set of marketing strategies. According to the outcomes, the most suitable marketing strategies based on consumer behavior and expert criteria, as processed through the CRITIC neutrosophic method, are Augmented Reality Marketing for the Food Industry, Digital Marketing for Fashion Retail, and Experiential Marketing for Real Estate. [ABSTRACT FROM AUTHOR]

The focus of this paper is the revitalization of a heritage city center and the significance of retail trade and cruise ship tourism within this context. Fundamental concepts are presented in the literature review and the factors contributing to the decline of old city centers explored. The empirical section of the paper comprises a case study that highlights a specific municipality's efforts to revive its heritage city center. The main attraction in Koper is its well-preserved medieval city center with five-centuries-old Venetian architecture. An analysis of the municipality's initiatives is performed and a qualitative study that investigates the perceptions and experiences of stakeholders regarding the situation and the municipality's actions to preserve commercial activity in the city center. The results of the semi-structured interviews conducted with three distinct stakeholder groups are analyzed using the qualitative content analysis method. The findings reveal that the chosen municipality has achieved relative success in revitalizing its heritage city center. Concurrently, stakeholders' perspectives are utilized to identify potential drawbacks and explore opportunities for mitigating them. This paper concludes by presenting its theoretical and methodological contributions to the field of heritage city center revitalization, not only in the selected municipality but also beyond. These insights can inform the appropriate sustainable policy development and marketing strategy. [ABSTRACT FROM AUTHOR]

Kosovo's private sector business is led by small and medium enterprises and shows a crucial role in the economic development and promoting the growth of this sector. Due to the lack of studies in Kosova, related to marketing strategy and export performance, the research aims to explore growth determinants of SMEs in Kosovo by emphasizing exports, revealing the importance of marketing strategy related to the performance of SMEs. Since exporting is becoming more important, it is necessary to understand all the factors that are involved in this booming trade. This research analyses explore the literature dealing with small and medium enterprises' performance to inspect the traditional and modern academic standpoints on estimating the impact of export performance, based on secondary data of five hundred small and medium enterprises, as trade, manufacturing, and services sectors in Kosovo. The data were analysed using both descriptive statistics and inferential techniques, such as logistic regression analysis, and probit model using the SPSS software. Results show a significant linkage of marketing strategy and export performance; managers and policymakers can take some action to improve export performance. On the other hand, the results measure the impact of price, production, promotion and place in export performance incorporate expected future performance. It is argued that enterprises in Kosovo must pay more attention to strategies, and attempt to design and implement better strategies that will be beneficial for developing international trade, especially exports, as one way of trading by SMEs. [ABSTRACT FROM AUTHOR]

In the context of energy transformation and power market system reform, it is crucial to address the network risks associated with enhancing the integration of the "Energy–Information–Market" paradigm. This necessitates research on multi-energy market trading modes and the corresponding offensive and defensive technologies. This paper proposes a novel approach centered around a node-local Energy Hub (EH) that represents large industrial users with diverse energy demands. To facilitate multi-energy two-way trading, a price-oriented Transactive Energy (TE) market clearing strategy is developed. Building upon this transaction network framework, a data-driven attack strategy targeting the state estimator of the Transmission System Operator (TSO) is introduced and implemented in two stages, encompassing real-time topology estimation and False Data Injection attacks. By leveraging Matrix Transfer Entropy (MTE), the optimal attack target is identified to disrupt the economic stability of the system and the profit of the attacker increases significantly. The proposed attack strategy is validated through simulations conducted on a 30-node system, yielding conclusive evidence of its effectiveness while offering vital insights for system defense. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has rapidly emerged as a transformative force in multiple sectors, with digital marketing being a prominent beneficiary. As AI technologies continue to advance, their potential to reshape the digital marketing landscape becomes ever more apparent, leading to profound implications for businesses and their digital outreach strategies. This research seeks to answer the pivotal question: "How could AI applications be leveraged to optimize digital marketing strategies"? Drawing from a systematic literature review guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework, this study has identified 211 pertinent articles. Through a comprehensive bibliometric analysis, the findings were categorized into distinct clusters, namely: AI/ML (Machine Learning) Algorithms, Social Media, Consumer Behavior, E-Commerce, Digital Advertising, Budget Optimization, and Competitive Strategies. Each cluster offers insights into how AI applications can be harnessed to augment digital marketing efforts. The conclusion synthesizes key findings and suggests avenues for future exploration in this dynamic intersection of AI and digital marketing. This research contributes to the field by providing a comprehensive bibliometric analysis of AI in digital marketing, identifying key trends, challenges, and future directions. Our systematic approach offers valuable insights for businesses and researchers alike, enhancing the understanding of AI's evolving role in digital marketing strategies. [ABSTRACT FROM AUTHOR]

Preventing energy waste in residential and office buildings has emerged as a critical issue in both developed and developing countries over recent decades. The growing demand for oil and energy reserves has amplified the urgency of this concern. The deployment of building energy management systems (BEMSs) can lead to timely responses to changes in environmental conditions, the prevention of energy wastage, a reduction in CO2 emissions, and an increase in the longevity of building equipment. Despite the undeniable benefits of BEMSs, their market size remains small, creating challenges for providers in reaching potential customers. This research seeks to identify and prioritize the marketing strategies for BEMSs. A case study was conducted, employing the "Strengths, Weaknesses, Opportunities, and Threats" analysis as a tool for identifying marketing strategies related to BEMSs. This method resulted in the identification of 18 distinct marketing strategies. These strategies were subsequently prioritized using a novel fuzzy multicriteria decision‐making technique, VIkor‐topSIS, considering six specific criteria. The findings of the study suggested a hierarchical influence of six criteria on the BEMS market, arranged in the following order of significance: effectiveness, cost, attainability, complexity, timing, and popularity. Furthermore, the top three marketing strategies for BEMSs were found to be internet advertising strategies, discounts to consumers, and online sales. The analysis of the results has also offered valuable insights into the strengths and weaknesses of the studied BEMS provider, as well as the opportunities and threats present within the BEMS market. [ABSTRACT FROM AUTHOR]

The article titled "Letter to the readers" discusses the relevance of guest editors in academic journals. It is mentioned that many prestigious journals choose to have themed issues coordinated by guest editors, who must have experience in the thematic areas of the journal. However, it is warned that the presence of guest editors should not be a marketing strategy or a way to unload responsibilities on the editorial process. Additionally, the importance of selecting guest editors from different genders, geographical locations, and institutions is highlighted to avoid endogamous dynamics and promote the circulation of knowledge. The author thanks the guest editors for their work and highlights the collaboration of photographer and anthropologist Susan González Castelblanco in creating the cover photographs for the issue. [Extracted from the article]

This article aims to address the critical topic of developing an international marketing strategy for domestic enterprises during a state of war. The study examines the implications of such conditions for marketing activities and offers insights into how domestic firms can navigate international markets amidst challenges arising from war and geopolitical tensions. This research combines an extensive review of the literature with a systematic methodology for developing international marketing strategies. The methodology involves identifying key factors influencing financial risk, assigning appropriate weighting coefficients, evaluating individual indicators, and calculating a comprehensive indicator. This comprehensive approach enables enterprises to understand their financial standing and make informed decisions to navigate challenges during times of war. The study highlights the significant challenges that domestic enterprises face during a state of war, disrupting economic stability, altering market dynamics, and introducing unprecedented financial risks. Comprehensive calculations of the indicators reveal the different effects of financial risk on international marketing activities, which vary across indicator categories and years. The methodology provides valuable insights into developing optimal international marketing strategies based on the changing dynamics of financial risk. This research fills a gap in the literature by focusing on developing international marketing strategies specifically tailored to the unique circumstances of domestic enterprises during times of conflict. The systematic methodology for calculating comprehensive indicators and deriving strategies adds a novel dimension to the existing research on international marketing strategies. This study offers practical recommendations for domestic enterprises operating in regions affected by a state of war. The identified strategies, such as price leadership, market diversification, collaboration with local partners, retaining customer bases, and enhancing online sales, provide actionable insights for businesses seeking to maintain competitiveness and thrive in international markets. [ABSTRACT FROM AUTHOR]

A marketing strategy has been used by enterprises to achieve the best possible organizational efficacy. In the current research, contingency theory, the theory of resource dependency and experiential learning theory are applied to establish the research model. Marketing strategy has been regarded as one of the determinants of managerial accounting; whereas the adopting of managerial accounting in business can lead to improved organizational efficacy. Therefore, the linkage between marketing strategy and organizational efficacy can be mediated by managerial accounting. The objective of the present research article is to explore the influence of marketing strategy on organizational efficacy, considering the mediating effect of managerial accounting in the research model, which has been previously ignored. The research data were collected from 352 publicly listed enterprises on the main Vietnamese Stock Exchanges, represented by executives involved in marketing and managerial accounting. Vietnam was selected as a study case for research, because it is one of the most rapidly developing countries in Southeast Asia; accordingly, enterprises operating there as a developing economy are supposed to exploy as many sound managerial practices as possible to be able to struggle squarely with the competitors in developed nations. The AMOS analytical technique was applied to test the causal linkages, whereas the mediating procedures were employed to investigate the mediation of managerial accounting in the casual relation from marketing strategy to organizational efficacy. The empirical findings indicate that the elements of product, price, promotion and place of marketing strategy impose statistical influences on organizational efficacy and also on the adoption of managerial accounting in business. Importantly, managerial accounting is found to be a mediator in the relationship between marketing strategy and organizational efficacy. This work has implications for how executives make better decisions about planning marketing strategies in business, which should match the managerial accounting applied in business. Consequently, they could achieve the best possible organizational efficacy. The current research contributes to the existing study of marketing and managerial accounting by supporting a link between marketing strategy and organizational efficacy, which is mediated by managerial accounting in Vietnam. [ABSTRACT FROM AUTHOR]

Wine is a fundamental cultural and economic asset for Spain and other European's countries. Understanding the consumer behavior is of great importance in designing marketing strategies to promote and encourage a product purchase. This research proposes developing and validating an attitudinal scale of the consumer outlook toward wine consumption. A total of 2,189 participants from the Sherry wine region (Andalusia, Spain) participated in the study. A resulting 16-item scale was estimated to meet the reliability criteria and the Principal Component Analysis after exploring the results. Three dimensions were found: one that integrate consumer experiences (Wine Experience), the elements related to the healthy perception of wine consumption (Health Consumption) and those related to factors linked to the social nature of wine consumption (Social Consumption). The Wine Attitude Scale for Consumer Research (WASCR) it has potential use for segmenting different consumer profiles and to be useful tool for wine producers. Therefore, the scale is proposed for use in different research contexts and other populations of interest in future studies. Plain Language Summary: Wine is a fundamental cultural and economic asset for Spain and other European's countries. Understanding the consumer behavior is of great importance in designing marketing strategies to promote and encourage a product purchase. Previous research has focused on attitudes toward specific aspects of wine, but not on wine consumption. This research proposes developing and validating an attitudinal scale of the consumer outlook toward wine. A total of 2,189 participants from the Sherry wine region (Andalusia, Spain) participated in the study. A resulting 16-item scale was drafted with three dimensions: one that integrate consumer experiences (Wine Experience), the elements related to the healthy perception of wine consumption (Health Consumption) and those related to factors linked to the social nature of wine consumption (Social Consumption). The Wine Attitude Scale for Consumer Research (WASCR) it has potential use for segmenting different consumer profiles and to be useful tool for wine producers. Therefore, the scale is proposed for use in different research contexts and other populations of interest in future studies. [ABSTRACT FROM AUTHOR]

A logotype can have a considerable impact on the customers' perception of a given business, generate experiences and become a basis for assigning specific associations to the brand (positive, negative, promotional). The aim of the present study is to verify the function of logotypes of selected agritourism establishments, especially in view of the rationale for placing them on home pages of websites, and the marketing function they fulfill. Homepages (the main web pages) of websites of 10 agritourism farms with the dimensions of 1,245 × 570 pixels (and 24 -bit color depth) were analyzed. The study involved 170 respondents (n = 170), whose task was to indicate a single element they perceive as positive, negative, and one that in their opinion best serves the promotional goal in each of the 10 homepages. Statistical analyses were performed using the R-CRAN software version 4.0.2. The study confirmed that there are both differences and similarities in the responses regarding logotypes of the agritourism farms studied. The perception of the logotype depends strongly on the education level and age of respondents. The analyses also confirmed that there is no linear relationship between the size of the logo and the frequency at which it is indicated as a promotional element. The use of a detailed factor analysis of logotypes (with the use of the click-tracking technique) on the websites of agritourism farms is an innovative approach and allows for a relatively comprehensive assessment of the perception of logotypes by potential consumers of offers available on the market. Plain Language Summary: An Analysis of Logotypes of Agritourism Farms on Websites The aim of the present study is to verify the function of logotypes of selected agritourism establishments, especially in view of the rationale for placing them on home pages of websites, and the marketing function they fulfill. Homepages (the main web pages) of websites of 10 agritourism farms with the dimensions of 1,245 × 570 pixels (and 24 -bit color depth) were analyzed. The study involved 170 respondents (n = 170). The study confirmed that there are both differences and similarities in the responses regarding logotypes of the agritourism farms studied. The perception of the logotype depends strongly on the education level and age of respondents. The analyses also confirmed that there is no linear relationship between the size of the logo and the frequency at which it is indicated as a promotional element. Analyses presented in this article focused on the way consumers perceive logotypes of agritourism farms online. However, they pertained solely to Polish farms and Polish respondents. Limitation of this study is the fact that potential customers may react differently to logotypes that incorporate abstract word and/or graphic constructions. This is a rare practice in the case of agritourism farms operating in the Polish market, yet it cannot be excluded. Our study is limited to 10 agritourism farms. Future studies should include a larger sample, which would allow for drawing more precise conclusions. These, in turn, could provide a solid foundation for the practical use of the results by farmers who run agritourism businesses. [ABSTRACT FROM AUTHOR]

Concerns about income inequality and environmental pollution have been important aspects of achieving sustainable development goals. Promotion and use of organic food is one important way to reduce resource consumption and waste. In this study, the structural equation model (SEM) was used to analyze 450 questionnaire data, and the environmental values and perceived consumer effectiveness were used as mediating variables to explore the influence mechanism of income quality on the organic food purchase intention. An extended Value—Attitude—Behavior (VAB) theory was used as the research framework, and the results showed that: (1) income quality had a significant positive effect on environmental values, perceived consumer effectiveness, and organic food purchase intention; (2) perceived consumer effectiveness had a significant positive effect on organic food purchase intention and played a partial mediating role; and (3) environmental values and perceived consumer effectiveness played a chain mediating role between income quality and organic food purchase intention. Plain Language Summary: Organic food pays attention to the coordinated development with the natural environment, which has the characteristics of high quality, pure green and pollution-free. Compared with other foods (such as green foods, conventioanl foods), organic food have the highest sustainable attributes. This study aims to promote organic food consumption in China. Previous scholars have focused on the quantitative aspect of income, but this study introduces income quality into the study of organic food consumption and proves that income quality has good applicability in the study of organic food consumption. This study theoretically improves the explanation and prediction of organic food consumption, and in practice helps governments, certification agencies, agricultural enterprises and other entities to formulate reasonable and effective organic food management and strategic marketing from the perspective of consumers. [ABSTRACT FROM AUTHOR]

This paper aimed to explore customer value-driven factors and evaluated competitive positioning to formulate the sustainable business strategy for theme parks in Taiwan. We employed Borda count to obtained the customer value-driven factors. This paper further developed a hybrid quantified SWOT analysis to identify the competitive positioning for the four major theme parks in Taiwan, The findings in this paper were: (1) There are nine customer value-driven factors attributed into the three dimensions of park characteristics, service characteristics, and exogenous characteristics, which are significant important for theme park sustainable survive; (2) Lihpao Resort is located in the first (SO) quadrant with its internal strengths and external opportunities simultaneously but it has less external opportunities; (3) Formosan Aboriginal Culture Village is located in the third (WT) quadrant with its internal weakness and external threats, which has the worst performance compared with other theme parks in this paper; (4) Leafoo Village Theme Park is located in the first (SO) quadrant with its internal strengths and external opportunities, which has less internal strengths compared with Lihpao Resort; and (5) Janfusun Fancy World is located in the fourth (TS) quadrant with its the external threats and internal strengths. Conclusions and suggestions are also discussed. Plain Language Summary: Label the Competitive positioning for Theme Parks In a time where consumers are increasingly informed, adopting a customer-focused marketing approach is crucial for long-term business success. This means that effective marketing strategies can not only benefit customers but also enhance the competitiveness of the theme park industry. This paper presents a methodology to discover customer value-driven factors and assess the competitive position of theme parks. It highlights areas for improvement in each park, serving as a valuable guide for operators aiming to strengthen their competitive edge. However, it's important to note a limitation of this study, which arises from collecting data during a specific period in Taiwan, namely, the summer vacation. This restricts the generalizability of the findings. To enhance external validity, future studies should consider gathering a more diverse sample from various time periods. Additionally, exploring whether there are cultural differences in customer value-driven factors and competitive positioning through replication of this study presents an intriguing avenue for further research. [ABSTRACT FROM AUTHOR]

In recent years, investing in cryptocurrencies has become a fad worldwide. However, fewer studies have explored the intention of using cryptocurrencies. Different from traditional financial commodities, cryptocurrencies have a unique appeal. Therefore, this study uses technology mindfulness, technology readiness, and financial literacy, and through perceived trust and perceived risk, to understand users' intentions to use cryptocurrencies. The respondents to this study were cryptocurrency owners or those having financial investment experience. A total of 337 valid samples were obtained and analyzed by the partial least square-structural equation model (PLS-SEM) method. The results showed that technology mindfulness and negative technology readiness significantly impacted perceived trust and perceived risk. On the other hand, perceived trust and perceived risk significantly impacted the intention to use. Finally, this study proposes theoretical and practical implications which can help cryptocurrency trading platforms understand the motivations of potential and existing users. Finally, this study can also serve as a reference for cryptocurrency trading service providers to develop marketing strategies. Plain Language Summary: In recent years, investing in cryptocurrencies has become a fad worldwide. However, fewer studies have explored the intention of using cryptocurrencies. Different from traditional financial commodities, cryptocurrencies have a unique appeal. Therefore, this study uses technology mindfulness, technology readiness, and financial literacy, and through perceived trust and perceived risk, to understand users' intentions to use cryptocurrencies. The respondents to this study were cryptocurrency owners or those having financial investment experience. A total of 337 valid samples were obtained and analyzed by the partial least square-structural equation model (PLS-SEM) method. The results showed that technology mindfulness and negative technology readiness significantly impacted perceived trust and perceived risk. On the other hand, perceived trust and perceived risk significantly impacted the intention to use. Finally, this study proposes theoretical and practical implications which can help cryptocurrency trading platforms understand the motivations of potential and existing users. Finally, this study can also serve as a reference for cryptocurrency trading service providers to develop marketing strategies. [ABSTRACT FROM AUTHOR]

Objective: The article explores the marketing strategies adopted by companies of different nationalities in their business processes, using the innovations established by the Oslo Manual (4th edition). These strategies are analyzed through a bibliographical review of the scientific literature, with the objective of understanding how they are used as a strategic approach to act in the market. Methodology: An integrative systematic review was carried out in the scientific literature on the subject to raise the state of the art that is found. The descriptors were defined and with them, initially, 432 articles were identified in the SciELO and Google Scholar databases that were evaluated and selected for discussions and reflections on what is happening in 15 countries around the world. Relevance and originality: The article explores innovations in marketing from the global context and discusses strategic business approaches, presenting the existing gaps, when it is intended to apply innovation methodologies aimed at the market. Main results: The results allowed us to identify that the innovations in marketing used by companies and institutions, mainly comprise improving characteristics of the four marketing pillars (product, price, place and promotion) and improving organizational performance through investigations the experiences of internal and external customers, aiming at the diversification of services and products in the market as a way of attracting the target audience and guaranteeing a competitive advantage. Management contributions: The article shows how marketing strategies are being incorporated into companies, when the objective is to innovate in different markets. Since innovation is the essential factor for organizations to stand out and find a competitive differential from the marketing area, it contributes to the presentation of the different approaches used within different scenarios. [ABSTRACT FROM AUTHOR]

Exports is crucial in driving economic growth and development for all countries worldwide. The export sector is critical for Turkey's economic growth and for boosting the country's standing in international trade. Exports is an essential source of Turkey's national income. It increases employment and contributes to economic growth. Exports is utilized as a strategic instrument to attain foreign trade balance, encourage knowledge transfer, gain access to new markets, and boost competitiveness. In recent years, Turkey, as an essential player in global commerce, has used various tactics to enhance its export activity. Turkey's export marketing strategy focuses on expanding export volume, diversifying exports, and maintaining competitiveness in foreign markets. The effectiveness of export marketing directly affects export performance. Turkey's export performance has shown a significant improvement. 2023 is essential as the 100th anniversary of the Republic of Turkey and the beginning of the second century. The study would outline Turkey's export history, underline the importance of export marketing, and examine how Turkey's export marketing techniques have evolved. It would also investigate Turkey's role in global commerce. [ABSTRACT FROM AUTHOR]

This research investigated the singular and combined effects of firm-level business strategy (BS) and industry-level market competition (MC) on real activities-based earnings management (REM). A composite strategy score based on Miles and Snow's framework was used to empirically assess BS, while MC was measured through three distinct metrics, and REM was calculated based on Roychowdhury's (2006) models of abnormal level of production, sales, and discretionary expenditures. Archival data from United Stated (U.S.) non-financial public listed firms in the period 1987-2020 was analyzed using Ordinary Least Squares (OLS) regressions, controlled for industry and year fixed effects. Findings suggested that firms following an innovation-oriented prospector strategy are associated with lower levels of REM than firms following an efficiency-oriented defender strategy. While MC alone did not have a significant effect on REM, the combined effect of BS and MC reveals that prospectors in more competitive markets engage less in REM activities, which confirms the relevance of competition in the relationship between BS and REM. This research contributes to earnings management literature by documenting that REM practices are affected not only by internal choices of resource allocation in accordance with a business strategy, but also by exogenous determinants of market competition. [ABSTRACT FROM AUTHOR]

In recent years, consumers are increasingly attracted to nutraceuticals, an important part of food considered propitious for human health. Therefore, consumers are willingly switching to nutraceuticals and are ready to pay the premium price. This review aims to identify various factors that govern consumer purchasing of nutraceutical products. The outcomes presented in the review provide a closer understanding of consumer attitudes toward buying behavior and their impact on the growth of the global nutraceutical market. The nutraceutical market has been identified depending on the type of nutraceuticals, forms, and regions governing the nutraceutical market. Factors such as health consciousness, knowledge about a product, product availability, price, marketing strategies, and social factors influence consumers' actual buying behavior toward nutraceutical products. A mini survey in Mumbai city of India was conducted to add practical data to the review, and factors affecting consumers' willingness to buy nutraceutical products were identified. It was observed that the decision‐making toward buying nutraceutical products was affected by gender, age, education level, and acculturation. It was also identified that the legislation governing nutraceuticals needs to be harmonized throughout many parts of the world, which restricts the growth of this sector to some extent. The findings elucidate that nutraceutical industries should overcome the regulatory barriers and focus on developing innovative products, which will keep current consumers intact and help increase the consumer base and thus expand the nutraceutical market globally. [ABSTRACT FROM AUTHOR]

Background/Aim. There is a constant increase in the need to use third-party reproductive cells among couples who are unable to conceive with their own reproductive cells or in order to prevent the passing of an existing hereditary genetic disorder to the child. The aim of the study was to present a theoretical overview and perform a practical analysis of the use of social marketing strategies using the first technique of analyzing the attitudes of potential donors of reproductive cells in the Republic of Serbia (RS) in the interest of adapting to the target group. Methods. Empirical research in this study, in which both women and men from the RS participated, was based on a questionnaire about people’s willingness to be potential reproductive cell donors and about having information on the donation of reproductive cells. The data in this paper were obtained during 2021, and the questionnaire was focused on a particular population group. The questionnaire was sent to people aged 20 to 34 years who could become potential donors of reproductive cells. In the research, 201 women and men from the RS participated. The first part of the questionnaire was tested for internal consistency, which was tested by Cronbach’s alpha coefficient calculation (α). Values of α lower than 0.5 indicate that the questionnaire possesses unacceptable consistency. Results. A total of 57% of participants were informed about reproductive cell donation through the Internet, 29% by friends and family, and 11% of them were informed by doctors. Only 32% of participants were fully informed, and 25.1% were partially informed about the donation of reproductive material in the RS. Forty-three percent of participants were not informed about the donation of reproductive material. Most of the participants (54%) said they would maybe donate their reproductive material if they had more information, 20% would donate in any case, and 26% would refuse to donate reproductive material. Conclusion. The target group of potential donors of reproductive cells is present in the RS. In addition to the analysis of attitudes, further planning and implementation measures for the promotion of donation could have an influence on raising awareness about the lack of reproductive material and increase the recruitment of gamete donors. [ABSTRACT FROM AUTHOR]

The College Textbook Publishing Industry in the U.S. 2000–2022: The Search for Competitive Marketing Strategies by Albert N. Greco provides a comprehensive history of the changes in the college textbook industry. The rise of online sellers like Amazon led to a trade in used textbooks and decreased publishers' profits. Publishers then shifted to digital textbooks, which were cheaper to produce but also easier to pirate. The book explores the strategies employed by major textbook companies and the impact on college bookstores. It also raises questions about the perspectives of teachers and students, the effects of e-books on educational quality, and the campaign for open access. The Equitable Access program at the University of California, Davis is highlighted as a promising initiative to provide textbooks at a lower cost to students. The article concludes by emphasizing the need for a system that ensures all students have access to the textbooks they need without financial burden. [Extracted from the article]

In order to explore the effects of marketing strategy of clothing brand in social e-commerce platform on consumers′ purchase intention, based on social e-commerce platform and marketing strategy of clothing brand related literature, we put forward the research hypothesis, and constructed the relationship model between the marketing strategy of clothing brand social e-commerce platform, consumers′ attitude and purchase intention. Next, a questionnaire survey was conducted with Xiaohongshu as the research carrier, and an multiple regression analysis was conducted on the data. The results show that the six dimensions including clothing display methods, clothing related knowledge, platform release effects, fan benefits, interactivity, and convenience all have a positive impact on consumer purchase intention. Perceived value plays a partial mediating role between marketing strategies and purchase intention. Identity plays a partial mediating role between clothing display methods, clothing related knowledge, platform release effects, fan benefits, and purchase intention. The research conclusion provides a reference for the marketing strategy of clothing brand on Xiaohongshu platform. [ABSTRACT FROM AUTHOR]

The social influencer integrated marketing strategy, which builds social influencers through potential users, has gained widespread attention in the industry. Traditional Scoring Link Prediction Algorithms (SLPA) mainly rely on homogeneous network indicators to predict friend relationships, which cannot provide accurate link prediction results in cold-start situations. To overcome these limitations, the Closeness Heterogeneous Link Prediction Algorithm (CHLPA) is proposed, which uses node closeness centrality to describe the social intimacy of nodes and provides a heterogeneous measure of a network based on this. Three types of heterogeneous indicators of social intimacy were proposed based on the principle of three-degree influence. Due to scarce overlapping node sample data, CHLPA uses gradient boosting trees to select the most suitable index, the second most suitable index, and the third most suitable index from Social Intimacy Heterogeneous Indexes (SIHIs) and SLPAs. Then, these indicators are weighted and combined to predict the likelihood of other node users in the two product circles in an online brand community becoming friends with overlapping node users. Finally, a hill-climbing algorithm is designed based on this to build integrated marketing social influencers, and the effectiveness and robustness of the algorithm are validated. [ABSTRACT FROM AUTHOR]

We investigate quality and pricing decisions for two competing firms in an e-marketplace with online customer reviews. Through developing two-stage game-theoretical models and comparing the equilibriums, we examine the optimal choice among different alternative product strategies: static strategy, adjusting the price, adjusting the quality level, and adjusting both the quality and price dynamically. Our results show that the existence of online customer reviews tends to encourage firms to increase quality and charge low prices in the early stage, and decrease quality and raise prices in the later stage. Moreover, firms should choose the optimal product strategies depending on the impact of customers' private assessment of product quality from the product information disclosed by firms on the overall perceived product utility and customer uncertainty about the perceived degree of product fit. After our comparisons, the dual-element dynamic strategy is more likely to outperform other strategies financially. Furthermore, we extend our models to examine how the optimal choice of quality and pricing strategies will change if the competing firms have asymmetric initial online customer reviews. From the extended analysis, a dynamic pricing strategy may generate better financial performance than the dynamic quality strategy, which is different from the finding in the basic scenario. Firms should choose the dual-element dynamic strategy, the dynamic quality strategy, the dual-element dynamic strategy coupled with dynamic pricing, and the dynamic pricing strategy in sequence as the impact of customers' private assessment of product quality on the overall perceived product utility and the weight that the second-stage customers place on their private assessment increase. [ABSTRACT FROM AUTHOR]