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Previous research demonstrated the effectiveness of referral programs in boosting firm performance. However, referrers' evaluations of such programs are under-examined. This study fills this gap by conducting two studies. Study 1 finds that psychological closeness between a referrer and a referee enhance the referrer's evaluation of the program. Study 2 reveals that the relationship between such psychological closeness and the referrer's evaluation is contingent on referral reward type (material vs. experiential). This study advances previous research in referral marketing by drawing on the experience recommendation theory and construal level theory. Referral marketing managers shall note that encouraging existing customers to refer their close others is particularly effective when referral messages highlight material rewards, instead of experiential rewards. [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]

In the dynamic pharmaceutical industry, companies are undergoing significant transformations in their interactions with consumers. The health industry involves various stakeholders, and pharmaceutical products, such as medications, are predicted to continually increase in demand with the growth of the middle class in Indonesia. Pharmaceutical manufacturers compete through distribution channels such as pharmacies and large pharmaceutical retailers to meet the demands of the government, patients, and entrepreneurs. With the rising number of patients, PT. Satoria Aneka Industri needs to develop a marketing strategy to remain competitive by enhancing the quality of products, services, and quality assurance. Positioned as the second-largest market share holder, PT. Satoria Aneka Industri aims to become the leader in the Indonesian market with a marketing strategy focused on the Unique Selling Point (USP), improving service quality, and ensuring product quality. Product awareness, service quality, and product quality assurance are considered determining factors in consumer purchasing decisions, with marketing strategy analysis focused on the company's infusion products. [ABSTRACT FROM AUTHOR]

The Atlanta University Center Robert W. Woodruff Library used both digital and traditional marketing to promote the Joseph Echols and Evelyn Gibson Lowery Collection, an invaluable civil rights history archive. Leveraging social media, particularly Instagram Reels, resulted in a 334% increase in engagement, demonstrating the effectiveness of meeting diverse audiences online. Additionally, traditional methods, including presentations, radio interviews, and community events, complemented the digital strategy to reinforce the importance of having an integrated approach to promoting archival collections. [ABSTRACT FROM AUTHOR]

This study aims to prove that the new concept of reciprocal pricing can affect the improvement of MSME performance. This study uses a quantitative approach with the sample technique used is Cluster Random Sampling This technique is taken with the argument that this research was conducted in several areas, namely, the tourism area of MSMEs street food vendors, then the building owner sells drinks or other products that are not similar. There were 175 MSMEs that became the object of research using the SEM AMOS analysis tool. Empirical evidence proves that Reciprocal pricing is able to encourage the improvement of MSME performance. Implement a marketing strategy strategy that focuses on building and maintaining marketing relationships between one business unit and another for the long term with the aim of providing different value to customers from competitors. The novelty of this research is Reciprocal Pricing, which is the concept of reciprocal pricing by two or more business units that provide mutual benefits to the agreed price, this variable is thought to improve performance. The implication is that efforts to improve the performance of MSMEs need to use the concept of Reciprocal Pricing in this research which is proven to encourage the improvement of MSME performance. The implementation of reciprocal pricing in improving the performance of MSMEs in tourism areas is proven to increase the number of consumers. [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]

There exists fierce competition in both low-end and high-end markets between open source and proprietary vendors. This paper constructs a game-theoretic model based on Hotelling competition to examine such two types of vendors' market strategies with security threats. Each vendor can choose to enter high-end market by making the quality effort meet the quality requirement. Security threats are caused by software vulnerability and characterised by negative externalities. Technology similarity is an important element that improves the efficiency of quality effort by facilitating technology spillover but worsens security threats by sharing more vulnerability. Through solving equilibrium solutions by backward induction, I find that under different market strategies: (i) user innovation that contributes to the quality of software product and service of the open source vendor does not always increase its profit because price competition that is intensified by such innovation may offset the contribution; (ii) the risk of security threats benefits both vendors at the cost of user interest since it can soften price competition, while technology similarity that acts as another source of security threats decreases both vendors' profits. I finally indicate that thanks to user innovation, the open source vendor is relatively more likely to enter the high-end market. [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]

Digital marketing uses digital technologies and media to achieve marketing goals. With the advent of digital media, digital marketing strategies have gained a lot of importance among marketers to reach their target markets and improve their performance. This study aims to examine the effect of various digital marketing tools that can significantly impact the competitiveness of the restaurant industry. Restaurants have used various facets of digital marketing to attract and influence customer decisions. The study attempts to identify the digital marketing tools based on the asset-process-performance (APP) framework. The study utilises the structural equation modelling technique to determine the structural relationship among various digital marketing variables. The result indicates that social media, online branding, online advertisements, and post-service quality have a significant impact on the competitiveness of the restaurant industry. Further, the research provides implications for practitioners and policymakers. [ABSTRACT FROM AUTHOR]

The article focuses on intervention research as a design science that devises action to change existing situations. Topics include market penetration strategies using intervention research, dysfunctions in the import and distribution of agricultural nutrients, and recommendations for developing effective market strategies based on lived market realities.

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]

This research aims to investigate the relationship between prior spending and unplanned purchases based on an understanding of decision framing effects and compensatory psychology. We argue that the impact of prior buying on unplanned purchases is moderated by the decision frame (separate vs. integrated). We conducted a series of four sequential scenario-based experimental studies to support our theoretical predictions. Consequently, our study revealed that travelers within a separate decision frame exhibited a stronger compensatory motive, leading to a higher unplanned purchase when prior spending was low. In practice, this research has managerial implications using compensatory consumption marketing strategies. [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 study aimed to identify the dimensions can help develop a brand's visual identity to address digital customers' pain points. An online survey was distributed to 600 digital customers in the Kingdom of Saudi Arabia. Structural equation modeling by the partial least squares method was used for the data analysis. The current study contributed to reaching the most important dimensions of creating a distinctive and unique visual identity, which was represented in the Emotional connection, Mental positioning, Professionalism, Brand eloquence. Marketers can benefit from these results in creating a distinctive and unique visual identity that contributes to overcoming the customer's pain points, and then reaching the target customers and attracting them to the brand and linking with it, and increasing the sales and profits of the digital organization. also, can benefit from these findings when preparing the marketing strategy to match the components of the organization's unique and distinctive visual identity. [ABSTRACT FROM AUTHOR]

Referral reward programs (RRPs), considered as a form of stimulated word-of-mouth (WOM), provide incentives to existing customers to bring in new customers. The research here adds to previous knowledge by exploring the usage of referral codes for high and low-involvement products in three stages of the consumer decision journey, on a sample of 218 consumers analyzed by regression analysis. Results show that components of the Theory of Planned Behavior influence the behavioral intention toward participating in an RRP, with perceived behavioral control having the strongest effect, followed by subjective norm and Attitude. Referral codes have a significant effect on respondents' behavior; high conformity of high-involvement products and low conformity of low-involvement products was found, with referral programs having a weaker effect on high-involvement products. Customers tend to follow all steps of the traditional consumer journey when buying a high-involvement product; in the case of low involvement products, low conformity was even lower when using a referral code. Low-involvement products at the need recognition stage, and high-involvement products at the active research stage, are the least affected by the RRP. Results provide insights for companies to optimize their marketing strategy through stimulated WOM, and with the usage of RRPs. [ABSTRACT FROM AUTHOR]

In recent years, e-commerce live streaming and short video marketing supported by big data and artificial intelligence technology have flourished, adding new sales models for e-commerce products to mass consumption, promoting the multimodal development of the e-commerce industry, giving new impetus and connotation to economic and social development, and being an effective means to achieve high-quality development in the new era. The effectiveness evaluation of short video marketing strategies is a multiple-attribute group decision-making (MAGDM) problem. Recently, the Exponential TODIM technique and Combined Compromise Solution (CoCoSo) technique has been employed to cope with MAGDM issues. The interval-valued Pythagorean fuzzy sets (IVPFSs) are employed as a tool for characterizing uncertain information during the effectiveness evaluation of short video marketing strategies. In this paper, the interval-valued Pythagorean fuzzy Exponential TODIM (ExpTODIM) (IVPF-ExpTODIM-CoCoSo) technique is constructed to solve the MAGDM under IVPFSs. In the end, a numerical case study for effectiveness evaluation of short video marketing strategies is given to validate the proposed technique. The main contributions of this paper are outlined: (1) the Exp-TODIM and CoCoSo technique has been extended to IVPFSs; (2) Information Entropy is employed to manage the weight values under IVPFSs. (3) the IVPF-ExpTODIM-CoCoSo technique is founded to implement the MAGDM under IVPFSs; (4) a numerical case study for effectiveness evaluation of short video marketing strategies and some comparative analysis is supplied to verify the IVPF-ExpTODIM-CoCoSo technique. [ABSTRACT FROM AUTHOR]

When externalities are present, is the inclusion of the affected stakeholders in the firm's decision process a better solution than the shareholder governance? This paper argues that the internalization of the externality hinges on the available information and the market strategy used by the firm rather than its governance structure. In the absence of income effects (i.e., if preferences are quasi-linear), a market for "customer rights" reveals all the necessary information about the surplus of a homogeneous consumer population. In that case, a Coase-type equivalence obtains: whether the firm uses the information in the interest of its shareholders or all its stakeholders, the outcome in each case is an efficient allocation. With income effects, the market for customer rights may fail. Still, if appropriate information can be obtained, efficiency can be achieved under both governance structures (or neither). [ABSTRACT FROM AUTHOR]

The present study focuses on improving recycling behavior in Turkey with a social marketing program. It is centered on behavior change and social marketing strategies that can address recycling behavior. The social marketing program developed herein outlines segmentation, targeting, product, price, place, and promotional strategies recommended based on theoretical elements across disciplines. This research is the first to develop a social marketing program for recycling behavior in a developing country at the household level. Furthermore, it is the first study in which behavioral change was ensured through marketing strategies. This article provides a framework that can be employed in developing social marketing programs. In this study, qualitative data collection tools and quantitative measurement data were used based on the action research design. Although there are studies in the literature that argue that women and those with undergraduate/graduate education show more recycling behavior than others, the results of the participant‐level research in Turkey showed that there was no significant difference in recycling behavior based on the demographic characteristics of the participants. On the other hand, it has been found that the awareness levels of the people have changed in correspondence with the implementation‐oriented efforts of the municipalities on recycling. However, there is a lack of recycling behavior due to the lack of necessary infrastructure and information in all regions in Turkey. One of the most important results obtained in this social marketing program study was that regional and cultural differences had a role in shaping the recycling behavior. This requires different strategies in implementing the program in different provinces, based on the culture and availability of recycling infrastructure. This article provides an example of a social marketing program to improve recycling behavior. It hopes to inspire significantly more work in this area to make behavior change for the better. [ABSTRACT FROM AUTHOR]

Goods in a market are typically presented in discrete categories so that consumers can easily find their way among the myriad of products available. However, sub‐categorical distinctions are often less clear. This study aimed to explore how consumer perceptions of products within a category relate to their sensory properties. By analyzing how consumers sorted energy bars and the vocabulary used to describe the resulting clusters, we found that consumers generally agree on how they perceive bars high in protein. However, energy bar consumers with high familiarity demonstrated greater levels of differentiation between clusters compared to energy bar consumers with low familiarity. They were also more consensual in their sorting. Furthermore, sensory properties were found to play a larger role in determining product clusters for consumers with high familiarity than with low familiarity. These findings shed light on the factors influencing consumer perception of energy bars. Additionally, this approach offers a simple way to investigate consumer perception of a product category and could be useful to marketers and product developers who wish to refine their offerings to better meet consumer expectations. Practical Applications: The method for category appraisal described in this paper emphasizes consumer perception of products and factors, such as sensory properties and nutrition facts, that influence these perceptions. It departs from traditional approaches that focus on individual product descriptions and instead focuses on product groupings perceived by consumers. This approach allows for deeper insights to be obtained about product categories as a whole, which can inform effective marketing strategies and efficient product development. [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]

Ginger (Zingiber officinale L.) is one of the priority vegetables and most processed functional food in many parts of the the Philippines. This study assessed the production practices and marketing strategies of ginger in Northern Mindanao from October 2022 to October 2023. It utilized a validated survey questionnaire administered to 160 registered farmers in the provinces of Bukidnon, Camiguin, Lanao del Norte, Misamis Occidental and Misamis Occidental supplemented with key informant interviews, focus group discussion and secondary data. Findings showed that majority of the respondents belong to age bracket 50-59 years old, earn a monthly family income range of PhP 9,520.00 to PhP 19,040.00 and obtain basic education diploma. The respondents "Always Practiced" the recommended production practices and "Moderately Practiced" the suggested marketing strategies for the commodity by the Department of Agriculture. There is a significant relationship between production practices and marketing strategies. There is a significant differnce on the extent of marketing strategies when grouped according to age and monthly and highest educational attainment. Challenges include low market price and high cost of farm inputs which are threats productivity and profitability of the ginger industry. [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]

The growth of cafes in Surabaya is very rapid, reaching an average per year of 20%, even the growth after Covid 19 has increased sharper. The increase in cafes in Surabaya is driven by the increasing need for public spaces to share flavors. But on the other hand, café business competition is getting tighter, it demands creativity in implementing strategies. By asking questions about Cafe positioning and the use of Integrated Marketing Communication, this study uses a qualitative method approach to purposive samples of De Mandailing Cafe and PT Jokopi Cafe. The results obtained the use of digital marketing in an integrated manner with the concept of line and emphasis on building humanist public spaces as an answer to the communal consumer culture and lifestyle café Surabaya survived and developed as a promising Cafe Business. [ABSTRACT FROM AUTHOR]

This study aims to evaluate the marketing strategy of financing products implemented by Baitul Mal Wat Tamwil (BMT) Rizwa Manbaul Ulum Rejotangan Tulungagung and identify inhibiting and supporting factors in the implementation of financing product marketing strategies in BMT. This study used qualitative research methods, which include observation and interviews. The results showed that BMT Rizwa Manbaul Ulum Rejotangan Tulungagung used a marketing strategy through distributing brochures to the public. Thus, this strategy has not attracted significant customer interest. In addition, there are still certain areas in the red zone criteria, in the sense that the red zone criteria here are the existence of certain community areas that are included in the community area that have negative characters or thoughts about financing products at BMT Rizwa Manba'ul 'Ulum, for example, there are some people who think that financing products at BMT Rizwa Manba'ul 'Ulum have very difficult and burdensome requirements. Therefore, this study suggests improving marketing strategies implemented by BMT Rizwa Manbaul Ulum Rejotangan Tulungagung, such as taking a family approach, promoting through social media, distributing brochures to a wider area, conducting socialization to the surrounding community, and installing banners in front of the BMT office. In addition, this study also confirms the importance of collaboration and cooperation between Islamic financial institutions and other parties in increasing the number of customers and the development of BMT. [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]

The article examines the media practices of a German Salafi missionary through the perspective of theories on Islamic authority and digital online marketing. Following an understanding of online Salafism as a cross-platform phenomenon, the paper draws on an ethnographic case study of Salafi Influencer Abdurrashid, examining the specific strategies he develops for his channels on YouTube and TikTok, the synergies he generates between them, and the active outreach measures through which he creates a gateway for his YouTube profile via TikTok in order to gain authority. [ABSTRACT FROM AUTHOR]

In recent years, subcutaneous administration of biotherapeutics has made significant progress. The self-administration market for rheumatoid arthritis has witnessed the introduction of additional follow-on biologics, while the first subcutaneous dosing options for monoclonal antibodies have become available for multiple sclerosis. Oncology has also seen advancements with the authorization of high-volume subcutaneous formulations, facilitated by the development of high-concentration formulations and innovative delivery systems. Regulatory and Health Technology Assessment bodies increasingly consider preference data in filing dossiers, particularly in evaluating novel drug delivery methods. The adoption of a pharmacokinetic-based clinical bridging approach has become standard for transitioning from intravenous to subcutaneous administration. Non-inferiority studies with pharmacokinetics as the only primary endpoint have started deviating from traditional randomization schemes, favoring the subcutaneous route and comparing with historical intravenous data. While nonclinical and computational models made progress in predicting safety and immunogenicity for subcutaneously dosed antibodies, clinical trial evidence remains essential due to inter-individual variations and the impact of formulation parameters on anti-drug antibody formation. Ongoing technological advancements and the expanding knowledge base on pharmacokinetic–pharmacodynamic correlation across specialty areas are expected to further accelerate clinical development of subcutaneous biologics. [ABSTRACT FROM AUTHOR]

Retained ownership is a marketing strategy that involves maintaining ownership of cattle through the feedyard stage. This strategy deviates from the traditional marketing time for many Southeast U.S. cow-calf producers, which is usually centered around weaning. Selected benefits of retained ownership for the producer includes capturing information on improved genetics and being able to take full advantage of health and management programs. Producers are often unaware of how calves perform further down the production line, leaving valuable information on the table as far as management styles and genetic selection goes. Extension programs such as Alabama's Pasture to Rail and Arkansas' Grass to Grid were developed to help producers retain ownership on beef calves and learn how their cattle perform in the feedyard phase. These programs provide opportunities for producers to receive feedback about the profitability of the cattle they are producing, learn more about the cattle industry beyond their sector, and investigate the use of other marketing strategies. Once cattle are marketed, producers receive data on their cattle such as average daily gain, estimated feed conversion, detailed carcass data, and health performance metrics. Extension educators can help producers analyze and understand how management and genetic selection affected these outcomes and changes that could be made to their operation. These programs have also been utilized in integrated Extension research. Between the years 2018 and 2023, the Alabama Pasture to Rail Program supported data collection on 667 calves through two different studies. Data collected in these studies are currently being used to update Extension recommendations on management strategies and potential of Alabama feeder calves. Feedback from facilitators and participants in these programs is often favorable for producer implementation but limitations are still faced by Extension personnel. A survey of county agents in Arkansas was recently conducted on programs such as Grass to Grid. Of the 45 agents that responded with active beef cattle programming in their county only 8% indicated that they had active participation in the Grass to Grid Program. An additional 13% of agents did indicate that they thought their county programming and producers would benefit from programming such as Grass to Grid. Limitations to the program were listed as market viability, producer buy in and turn-around results from the feedyard currently being used. Extension programming such as retained ownership programs have a place in helping producers build more sustainable programs. However, it is important to acknowledge the strengths, weaknesses and opportunities that must be addressed for producers and Extension personnel if they are to remain a function and useful tool. [ABSTRACT FROM AUTHOR]

The article reminisces about the marketing strategy of offering "bonus prizes" such as genuine American Indian artifacts, particularly ancient flaked stone arrowheads or katsina-like dolls, in promotions like the Doubleday Publishing Company's "Living History Program" in the 1960s. The author, reflecting on his childhood experience, recalls choosing an arrowhead as his "bonus prize," highlighting the era's unique sales incentives and the lasting impact on personal collections.

With the rise of the energy Internet and the reform of the power market, the multi-energy collaborative trading mode plays a fundamental role and acts as the framework in the construction of the integrated energy market. An integrated energy system model and its trading market mechanism are built in this paper. A new transaction strategy in the system is proposed to solve the problem of cascade utilization of thermal energy and flexibility of future market relationships. To facilitate the role transformation of stakeholders, the multiple agents system is used to decouple the complex relationship of the market transaction into two Stackelberg games of "two leaders and one follower". In addition, The Lagrange multiplier method is used to optimize the objective function and the optimal result is obtained by continuous iteration, and the existence and uniqueness of Nash equilibrium are verified. Eventually, The simulation results validate that the model has greater benefits for all stakeholders, new energy consumption and environmental protection. • The trading strategy proposed solves the flexible trading of multiple energies. • Decoupling the multi-energy market transaction into two Stackelberg games models. • The existence and uniqueness of Nash equilibrium in transaction model are verified. [ABSTRACT FROM AUTHOR]

In the contemporary landscape, as environmental concerns take center stage, consumers are increasingly urged to make ecologically friendly choices, facilitated by the prevalence of environmental labeling. This study undertakes a comprehensive investigation into the influence of environmental labeling on customer purchasing behavior, with a specific emphasis on evaluating the effectiveness of green marketing and innovation initiatives. Using the Fuzzy Analytical Hierarchy Process (AHP) and Fuzzy Weighted Aggregated Sum Product Assessment (WASPAS) methodologies, the research pinpoints the elements and tactics able to influence consumer behavior in connection to environmental labeling. Therefore, seven factors, twenty-one sub-factors, and six strategies are identified. The results of Fuzzy AHP show the prominent role of product attributes, marketing and promotion strategies, and sustainability practices while seeking to change consumer behavior with regard to environmental labeling. In addition, the findings from the Fuzzy WASPAS approach suggest that environmentally friendly packaging, product labeling, and partnerships and collaboration are the most successful green innovation and marketing strategies. The findings of this study can help shape the design of more effective environmental labeling programs and marketing plans for encouraging sustainable purchases. • The environmental labeling affects consumer purchase behavior and emphasize green marketing. • Fuzzy AHP and fuzzy WASPAS techniques were used to determine factors, sub-factors, and strategies. • The study identified seven factors, twenty-one sub-factors, and six strategies. • Fuzzy AHP recognized product attributes and marketing and promotion, as key factors. • Fuzzy WASPAS indicated eco-friendly packaging and product labeling as key strategies. [ABSTRACT FROM AUTHOR]

This study analysed the key determinants driving Vietnam's electric two-wheeler (E2W) market and proposes strategies to foster its growth. Using a multifaceted research approach, combining expert interviews and comprehensive consumer surveys involving 385 respondents. The study adopts the relative importance index for data analysis, highlighting the paramount significance of reliable charging infrastructure, upfront purchase costs, and reduced emissions. Additionally, E2Ws are favoured by sustainable design, modern aesthetics, simplified licensing, and purchase incentives that facilitate its adoption. Other primary considerations include technological aspects, such as safety, range, battery lifespan, and charging duration. Analysis of 15 expert interviews using NVivo software reveals the suitability of E2Ws for Vietnam's dense urban roads, economic advantages, and environmental priorities. While there's excitement about E2Ws, obstacles like climate impact, financial barriers, and infrastructure gaps remain. The research concludes with recommendations for promoting E2W adoption, emphasizing awareness drives, policy clarity, safety protocols, and technological advancements. [ABSTRACT FROM AUTHOR]

The study provides a comprehensive innovation analysis of the e-commerce strategies implemented by leading online retailers, focusing specifically on the Turkish market. The main goal of this research is to explore the effectiveness of various types of innovation adopted by major e-commerce platforms in Turkey, with particular emphasis on well-established brand names such as Amazon (Nasdaq: AMZN), Trendyol (Alibaba), and Hepsiburada (Nasdaq: Heps). To achieve this, the study uses the "ten types of innovation" framework to dissect the different facets of innovation in the e-commerce domain. Based on the research, we show the reasons behind Amazon's failure to establish a strong foothold in the Turkish market upon its entrance. The research seeks to identify potential innovative opportunities that can aid in the adoption of blue ocean strategies. [ABSTRACT FROM AUTHOR]

Competitive intelligence can be used as a catalyst to guide green marketing strategies as well as to create and maintain competitive advantage. The purpose of this article is to identify and rank the effective factors of competitive intelligence on green marketing and understand the effects of competitive intelligence components on green marketing components. This is a descriptive and applied research that was conducted on a case-by-case basis among the employees of 4 companies that are active in the field of energy industry in Qatar. The research tool is a questionnaire that confirmed the convergent and divergent validity of the two-stage structure. Analysis by PLS software showed that competitive intelligence has a positive effect on green marketing. Also, the ranking of the components was determined completely. The results of this research state that competitive intelligence as a strategic marketing management tool can modify their approaches to differentiate themselves from others and position themselves as industry leaders in sustainability. According to the study background, this research has an important contribution to the existing knowledge in terms of subject and geographical area and provides a suitable insight to the decision makers of this field. [ABSTRACT FROM AUTHOR]

With the biggest 5G market and largest 5G mobile network, China is leading 5G development worldwide. Chinese Mobile Network Operators (MNOs) play a significant role in China's 5G development, especially in the current stage of 5G commercialization. In addition, the Chinese government issued China Broadnet a 5G license, which may change the competitive landscape of MNOs. Based on in-depth interviews with experts and secondary data, this study first analyzes Chinese MNOs' competitiveness from three perspectives (i.e., the country-level, industry-level, and company-level). It then offers a summary of the four MNOs' strategies in developing 5G. This study could shed light on China's 5G development through the lens of MNOs and provide policy implications for developing 6G. • Faced with many challenges in the 5G era, Chinese MNOs contribute to developing 5G under the strong influence of government policies. • Competitiveness analysis can facilitate an understanding of the competitive landscape and competitive advantages of Chinese MNOs. • China Mobile takes the lead, China Telecom and China Unicom cooperate closely to challenge it, and China Broadnet, a new entrant, relies on co-sharing and co-building with China Mobile. • Chinese MNOs adopt different strategies such as a long-tail strategy, differentiation strategy and niche market strategy to occupy the 5G market. [ABSTRACT FROM AUTHOR]

• A new decision-making framework is proposed to solve the energy management problem of multiple MGs. • The proposed method formulates participation of MGs in the energy market through the intermediary entity. • Energy price forecasting is conducted using the long short-term memory (LSTM) recurrent neural networks. • Power exchange of the MGs with the main grid is optimized by solving the energy management problem. • Monte Carlo reinforcement learning technique is employed to optimize real-time pricing decisions. Participation of a large number of microgrids (MGs) in the energy markets faces several challenges. To address these challenges, MGs can be aggregated by an Intermediary entity (IE). In this paper, a new decision-making framework is proposed to solve the energy management problem of multiple MGs and their participation in the energy market through the IE. This framework has three main functions. First, energy price forecasting is conducted using the long short-term memory (LSTM) recurrent neural networks method. Then, the power exchange of the MGs with the main grid is optimized by solving their energy management problem. In this stage, the integrated power exchanges of the MGs with the grid are determined based on the predicted prices. In the final function, the Monte Carlo reinforcement learning technique is employed to optimize real-time pricing decisions and identify potential obstacles that may affect proposed bid prices. This approach addresses energy management challenges and enables profitable energy trading in multiple MGs within energy markets, with confirmation supported by simulation results. The results show a maximum increment of 4.55% in the profit of the IE when purchasing energy and a 3.79% maximum increment when selling energy in the real-time market compared to day-ahead decisions, respectively. [ABSTRACT FROM AUTHOR]