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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]

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]

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]

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]

Accurately estimating consumers' willingness-to-pay (WTP) is crucial to product design, pricing decisions, and the design of competitive marketing strategies. However, traditional self-report measures of WTP are susceptible to many reporting biases, including tactical responding or an inability to make accurate estimates. Importantly, appraisals also occur automatically (i.e., in the absence of substantial time, intention, awareness, and/or substantial cognitive resources) and implicit measures used to capture automatic appraisals are less susceptible to the sort of reporting biases that self-report measures can be affected by. However, the only existing implicit measure for assessing automatic price appraisals (the Task Rule Congruency paradigm, 'TRC') is impractical because of the large number of trials and time it requires. Accordingly, here we introduce the Implicit Attribute Classification Task (IMPACT), test its effectiveness for the measurement of automatic price appraisals (Study 1), and directly compare its effectiveness and utility with that of the TRC (Study 2). We find that the IMPACT is an efficient measure of automatic price appraisals, that it produces considerably larger effects compared to the TRC, and that it does so while substantially shortening the procedure. We also discuss how the IMPACT scores can be used to derive an implicit measure of willingness to pay. Our findings make a substantial contribution to both research and practice by providing an effective tool that facilitates, for the first time, an efficient exploration of implicit WTP. [ABSTRACT FROM AUTHOR]

This paper studies the impact of international business coaching via virtual collaboration technology on the strategies and sales of emerging market entrepreneurs. This paper studies the impact of international business coaching via virtual collaboration technology on the strategies and sales of emerging market entrepreneurs. It sheds light on three novel research questions. (1) What is the effect of virtual business coaching on firm sales? (2) What is the mechanism through which this effect occurs? Specifically, does virtual coaching stimulate shifts in marketing strategy? (3) Do entrepreneurs benefit more from virtual coaching when they are less strategic in their decision making? We conducted a randomized controlled field experiment with 930 entrepreneurs in Uganda to examine the impact of a virtual coaching intervention that connects management professionals in primarily advanced markets and entrepreneurs in emerging markets with the aim of improving business performance. The analysis finds a positive and significant main effect on firm sales; treatment entrepreneurs increase monthly sales by 27.6% on average. In addition, entrepreneurs who receive virtual coaching are 52.8% more likely to have shifted their marketing strategy in a new direction. Moreover, consistent with this mechanism of inducing strategic business changes, the results show that entrepreneurs who receive virtual coaching tend to do better when they (ex ante) lack strategic focus. These results have important implications for the development of marketing strategies by entrepreneurs and multinational managers, as well as for policy makers interested in improving the performance of small firms in emerging markets and beyond. History: Avi Goldfarb served as the senior editor. Funding: This research was supported by grants from: Private Enterprise Development in Low-Income Countries (PEDL); the London School of Economics Marshall Institute; the Deloitte Institute for Innovation and Entrepreneurship (DIIE); London Business School (LBS) and the LBS Leadership Institute (LI); the UK Department for International Development (DFID) and Economic and Social Research Council's (ESRC) Joint Growth Research Program; Chicago Booth School of Business: Social Enterprise Initiative (SEI), Initiative on Global Markets (IGM), and Kilts Center for Marketing; and Stanford University: the Graduate School of Business (GSB), the Stanford Institute for Innovation in Developing Economies (SEED), the Stanford Center on Global Poverty and Development (SCGPD), and the John A. and Cynthia Fry Gunn Faculty Scholar award. Supplemental Material: The data files and online appendix are available at https://doi.org/10.1287/mksc.2019.0121. [ABSTRACT FROM AUTHOR]

As a motivational factor, uniqueness drives individuals to seek and choose unique goods or experiences. The act of wearing masks obscures individuals' facial features and influences their desire for uniqueness. This study aims to explore how wearing masks promotes individual uniqueness-seeking behavior. Three experiments were performed using various product categories (Starbucks coffee cups, sweatshirts, suitcases, and baseball caps) and sample types (college student and adult samples). Experiment results show that wearing masks obscures individuals' facial features and weakens their self-perceived uniqueness, thereby increasing their willingness to actively purchase unique products. This study is the first to examine the effect of wearing masks on individuals' choice of unique products. Practically, the results suggest that customized products can compensate for the lack of self-perceived uniqueness brought about by facial occlusion, thus providing valuable guidance for companies and retailers that offer customized services in formulating and designing marketing strategies. [ABSTRACT FROM AUTHOR]

The aim of the current research is to explain and investigate the pattern of using experiential marketing in building tourism dreams. In terms of purpose, this research is applied, in terms of data collection, it is descriptive-survey and quantitative research. The research community was formed by tourists visiting Khuzestan province during the years 2020-2021 (the last 10 years), whose number is unlimited and uncertain. The sample size based on Cochran’s formula was 384 people who were selected by simple random method. Data collection was done through a closed questionnaire, and its reliability and validity were confirmed through the conducted tests. The mentioned questionnaire was prepared based on the results of data analysis related to the data obtained from interviews with experts in the design stage of the model. To test the model of using experiential marketing in the construction of tourism dreams, the structural equation model test was used, which was done through PLS software. The results showed that there is a significant relationship between the model variables. In such a way that the causal conditions have a positive effect on the central phenomenon; The central phenomenon, background conditions, and intervention conditions have a positive, positive, and negative effect on strategies, respectively; And finally, the strategies had a positive and significant effect on the results. [ABSTRACT FROM AUTHOR]

The aim of the current research is to design a model to develop the market share based on the strategies for entering the international market of the National Iranian Drilling Company. A quantitative and qualitative mixed method was used to achieve this goal. In the qualitative phase, the data were collected through interviews with 12 experts using the snowball sampling method and analyzed with the help of the Foundation’s data theory in three stages of open, central and selective coding. The findings of this phase showed that 39 concepts can be identified, which can be classified into 17 categories by examining the conceptual similarity, which can be classified as components of the paradigm model, which can be based on the main criterion of causal conditions (government support, factors related to the country of origin and factors related to the target market), the central phenomenon (maintaining the market share and increasing the market size), the dominant base (communication and functional infrastructures, specialized infrastructures, appropriate policymaking and planning), intervening conditions (political and economic factors, cultural factors and social), strategies (customer orientation, empowerment and promotion of international capabilities, participation in investment and nonparticipation in investment) and consequences (improvement of technology, growth and survival, and credibility and reputation of the company). In the second phase, using the opinion of experts and using the AHP hierarchical analysis method, the determined criteria were identified and prioritized. The results of this stage showed that the criterion of the leaders with the highest weight of 0.278 and the criterion of the ruling platforms with the lowest weight of 0.081 can play a role in the development of the market share of this company. [ABSTRACT FROM AUTHOR]

We propose a general approximation method for the determination of optimal trading strategies in markets with proportional transaction costs, with a polynomial approximation of the residual value function. The method is exemplified by several problems, from optimally tracking benchmarks and hedging the log contract to maximizing utility from terminal wealth. Strategies are also approximated by practically executable, discrete trades. We identify the necessary trade-off between the trading frequency and trade size to ensure satisfactory agreement with the theoretically optimal, continuous strategies of infinite activity. [ABSTRACT FROM AUTHOR]

This paper delves into the concept of socially responsible marketing and its significance in fostering diversity, equity, and inclusion within organizational environments. It elucidates the connection between marketing and corporate social responsibility (CSR), showcasing methods of integrating social responsibility into marketing activities. Ethical principles inherent in socially responsible marketing are delineated, along with examples of CSR programs and projects within marketing initiatives. Furthermore, the paper explores the context and nature of diversity management policies and practices in organizations, highlighting the need for aligning marketing efforts with inclusive practices. It delves into the perception of various antecedents and consequences of diversity, equity, and inclusion at individual, group, and organizational levels, emphasizing the role of marketing in shaping perceptions and fostering inclusivity. Additionally, the paper addresses systemic, structural, organizational, institutional, cultural, and societal obstacles related to diversity, equity, and inclusion, underscoring the importance of socially responsible marketing in overcoming these challenges. It provides insights into how marketing initiatives can contribute to dismantling barriers and promoting diversity and inclusion within diverse organizational settings and workplaces. In conclusion, the paper underscores the pivotal role of socially responsible marketing in advancing diversity, equity, and inclusion agendas within organizational settings. It emphasizes the need for ethical and inclusive marketing practices and offers recommendations for incorporating social responsibility into marketing strategies to foster a more inclusive and equitable business environment. [ABSTRACT FROM AUTHOR]

The existing market of public charging pile services for electric vehicle (EV) users has occupied a particular market share. However, instead of solely focusing on pre-planning the construction of charging piles, it is crucial to address the shortcomings of the existing charging pile service and develop effective marketing strategies. This approach can help optimize the utilization of charging pile resources and minimize wastage. In this study, we explore EV users' comments on the public charging pile service and adopt a natural language pre-training model to classify comments for extracting positive and negative comments. For these two types of comments respectively, we construct the text-to-knowledge to mine the keywords from multiple dimensions. We further excavate the words correlated with the keywords by utilizing dependency parsing to create relational dependency graphs. Taken together, we identify key factors influencing EV user satisfaction or dissatisfaction and uncover the relationships among these factors. These insights provide valuable information for charging pile operators to develop targeted marketing strategies and improvement plans for the existing public charging pile resources, ultimately enhancing the overall user experience. [ABSTRACT FROM AUTHOR]

Copyright of Retos, Revista de Ciencias Administrativas y Económicas is the property of Universidad Politecnica Salesiana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the modern conditions of globalization and the development of Internet marketing, the task of ensuring competitiveness is complicated, which requires the development of new innovative methodological approaches to the analysis and justification of the applied principles of strategizing the policy of expansion into industry markets, considering the specifics of competition in them and the financial and resource capabilities of enterprises. Problem Statement. Nowadays, there is a high level of need for the application of innovative approaches to the formation of methodological and applied support for the strategic management of the expansion of enterprises into new and existing markets by means of strengthening business competitiveness in conditions of high-intensity competition on the internal and foreign markets of goods and services. The purpose of the paper is the development of a system of innovative strategic management of the policy of expansion of enterprises into new markets, considering the state of competition, financial resource capabilities and potential of enterprises. The research used the following methods: analysis and synthesis to determine the features of managing competitive positions, system-structural, indicative-temporal analysis for the creation of a methodology for the analysis of competitiveness in industry markets, Principal components to determine the weight significance of indicators and components of competitiveness, integral analysis for construction of dynamic series of competitiveness by types of economic activity. Enterprises with different capabilities can adopt any option of competition and achieve success in the market, but only based on innovation and with careful planning and effective implementation of the provisions and tasks of the corresponding strategy. It is definite in the context of weakening of financial capacity, economic entities have the opportunity for innovative development, provided that they function in the market, possessing competitive advantages, accumulating intellectual capital and financial self-sufficiency. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has caused unexpected shocks to several sectors of the economy, including the insurance industry. The devastating effects of the pandemic have also affected the marketing model and the strategies' effectiveness. Therefore, this study sought to demystify the potency of marketing strategies as a tool for achieving competitive advantage in challenging times. An exploratory and qualitative research design was used to gain in-depth insight into the motivations and perceptions of a purposive sample of 15 insurance customers. Thus, interviews were conducted to gather data to determine the potency of the marketing strategies. The research findings showed that different companies used various marketing strategies, resulting in varying customer satisfaction. Some companies used low-cost strategies, while others focused on product differentiation strategies. It was further found that most customers prefer a lower price and reliable service from trustworthy insurers. In addition, it was noted that companies with high customer satisfaction levels outperformed their competitors and achieved a competitive advantage in the short-term insurance sector. This sector is customer-centric, so a higher emphasis must be placed on delivering quality service and customer satisfaction. Consequently, companies in the insurance sector will be able to keep customers satisfied over long periods and ultimately achieve customer loyalty. The study elucidates the pathway for insurance companies to navigate challenging times successfully by focusing on delivering quality service and nurturing customer satisfaction for long-term loyalty. [ABSTRACT FROM AUTHOR]

During geopolitical crises, the price stability of agricultural commodities is critical for national security. Understanding the dynamics of pricing power between the U.S. and China and how it varies over time can help smaller nations navigate unpredictable moments. This study uses a unified framework and wavelet approach to examine soybean price discovery in the U.S. and China from the standpoints of price interdependence and information flows. We begin by illustrating the integrated link between the soybean futures markets in the U.S. and China, which includes multiple structural breaks. The pricing difference between the two nations acts as the primary information spillover route for their integrated relationship. Furthermore, we show that the direction and degree of information spillover change dramatically in proportion to the strength of the U.S.-Chinese soybean interaction. Finally, we find that China's recent retaliatory tax on the U.S. soybeans gave the Chinese market a more powerful position in soybean futures price discovery. After the first-stage trade deal was reached, and during the epidemic phase of the coronavirus pandemic, the pricing power of the U.S. soybean market showed no signs of full recovery. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Business Administration & Social Studies is the property of Aves Yayincilik Ltd. STI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Using stochastics in stock market analysis is widely accepted for index estimation and ultra-high-frequency trading. However, previous studies linking index estimation to actual trading without applying low-frequency trading are limited. This study applied William%R to the existing research and used fixed parameters to remove noise from stochastics. We propose contributing to stock market stakeholders by finding an easy-to-apply algorithmic trading methodology for individual and pension fund investors. The algorithm constructed two oscillators with fixed parameters to identify when to enter and exit the index and achieved good results against the benchmark. We tested two ETFs, SPY (S&P 500) and EWY (MSCI Korea), from 2010 to 2022. Over the 12-year study period, our model showed it can outperform the benchmark index, having a high hit ratio of over 80%, a maximum drawdown in the low single digits, and a trading frequency of 1.5 trades per year. The results of our empirical research show that this methodology simplifies the process for investors to effectively implement market timing strategies in their investment decisions. [ABSTRACT FROM AUTHOR]

The practice of offering refurbished products has become increasingly prevalent, yet limited research has studied the potential consequences of this emerging product strategy on the market performance of the corresponding brand‐new products. This study addresses this gap by examining the impact of refurbished products in markets characterized by network effects and standards competition, while considering the developmental stage of the technology standard employed by the products. Introducing refurbished products, primarily remanufactured from returned items, can pose challenges such as sales cannibalization and negative perceptions of product quality. We propose that introducing refurbished products can also generate positive effects, because the availability of refurbished products can be perceived as an indication of sizable prior sales of the brand‐new counterparts, alleviating consumers' concerns regarding an insufficient user base and limited availability of complementary products. Our empirical and experimental studies consistently demonstrate that the availability of refurbished products adversely affects the market value and purchase intention of the corresponding brand‐new products employing established technology standards. In contrast, the introduction of refurbished products does not have such a detrimental effect on products utilizing unestablished standards. Moreover, for a specific group of consumers, this green product strategy increases their purchase intention of brand‐new products. The managerial implications of the findings are discussed. [ABSTRACT FROM AUTHOR]

The ultimate goal of innovation is to improve performance. But if people's needs and uses are ignored, innovation will only be a formality. In the past, research on innovation mostly focused on technology, processes, business models, services, and organizations. The measurement of innovation focuses on capabilities, processes, results, and methods, but there has always been a lack of pre-innovation measurements and tools. This study is the first to use the innovation use theory proposed by Christensen et al. combined with innovation types, and it uses the measurement focus on the early stage of innovation as a post-innovation performance prediction. This study collected 590 valid samples and used SPSS and the four-step BK method to conduct regression analysis and mediation tests. The empirical results obtained the following: (1) a confirmed model and scale of the innovation use theory; (2) that three constructs of innovation use theory have an impact on market performance; and (3) that innovation types acting as mediators will improve market performance. This study establishes an academic model of the innovation use theory to provide a clear scale tool for subsequent research. In practice, it can first measure the direction of innovation and performance prediction, providing managers with a reference when developing new products and applying market strategies. [ABSTRACT FROM AUTHOR]

The wide-scale integration of electric vehicles (EVs) in developed countries represents a significant technological innovation and a step toward reducing carbon emissions from transportation. Conversely, in developing nations like the Philippines, the adoption and availability of EVs have not been as rapid or widespread compared to other countries. In identifying this gap, this study delved into the preferences and factors influencing Filipino consumers' willingness to purchase EVs. The study gathered 311 valid responses utilizing conjoint analysis with an orthogonal approach to assess the attributes influencing customers' purchase decisions. Conjoint analysis tools such as IBM SPSS v25 statistics were utilized to infer consumer preference. The results determined that cost is the primary concern for consumers by a considerable margin; followed by battery type and charging method; along with the type of EV, driving range, and charging speed; and most minor concern is regenerative brakes. Therefore, there is an apparent sensitivity to price and technology. This study is the first to apply conjoint analysis to the Philippine market, delivering in-depth consumer preference insights that can help manufacturers and policymakers customize their approach to making EVs more attractive and more viable in less developed markets. The results suggest that a targeted effort to overcome cost barriers and improve technological literacy among prospective buyers should be productive for speeding up EV adoption in the Philippines. The results could be extended in future research to a broader assessment of socioeconomic and environmental benefits, laying out a broader plan for promoting sustainable solutions in transportation. [ABSTRACT FROM AUTHOR]

Online reviews are an important part of product information and have important effects on consumers' purchasing decisions. Some sellers try to manipulate the market by inducing online reviews. In this study, a signal game model based on Bayesian conditional probability is constructed to analyze the preconditions, decision-making process, and effect on market demand and profit of this behavior. The results show that first, when consumer sensitivity to rebates reaches a certain threshold, low-quality sellers will adopt a conditional rebate strategy to induce consumers to give positive reviews. Second, the optimal rebate cost ( β * ) is obtained, where β * increases with the product price (p), but it is not necessarily monotonic in consumers' sensitivity to rebates (ρ) or the proportion of high-quality products (α). Third, the conditional rebate strategy can only work in a market dominated by low-quality goods. Using the conditional rebate strategy in a market dominated by high-quality goods will not bring benefits to low-quality sellers but will harm their profits. This study proposes that some developing online markets have collusive behaviors owing to a lack of regulations and laws, as well as consumers' concern for small interests. Ensuring the orderly development of online markets will require joint efforts by platform enterprises, government agencies, and consumers. [ABSTRACT FROM AUTHOR]

This study aims to describe how SWOT analysis based on the marketing mix is used in Qur'anic instruction at MI Islamiyah Jombang. This research answers: 1) How does SWOT analysis based on marketing mix place the quadrant of Al-Qur'an learning? 2) How can the SWOT analysis results based on the marketing mix optimize the marketing strategy of Al-Qur'an Learning? The results showed that TPQ Al-Ichsany became part of the business unit strategy managed by MI Islamiyah Jombang to serve Qur'anic learning. The analysis of the total IFAS score for strengths is 3.025, and for weaknesses is 1.122. The EFAS score for opportunities is 2,392; for threats, it is 1,012. The position of Al-Qur'an learning at MI Islamiyah Jombang is in Quadrant I (+,+). Al-Qur'an learning is in excellent and steady condition. A marketing services strategy was used to support the aggressive growth policy. Intensive strategies through market penetration and market development are strategies to expand, enlarge growth, and seize maximum opportunities for the continuous progress of Qur'anic education.

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The "Innovating the Use of Labour Market Intelligence within European Universities" (LMI-EUniv) project, set within the Erasmus+ programme's Key Action 2, represents a pioneering effort to harness Labour Market Intelligence (LMI) for enhancing the alignment between higher education offerings and labour market demands across Europe. This initiative, led by a consortium including the West University of Timisoara, University of Milano-Bicocca, University of Tallinn, Prospektiker, and the Luxembourg Institute of Socio-Economic Research, aimed to explore the current utilisation of labour market information and intelligence by European universities in planning and delivering their educational provisions. With a focus on fostering the congruence of educational supply with labour market demand through innovative learning and teaching methodologies, the project sought to empower Higher Education Institutions (HEIs) with the skills and competencies necessary to meet these challenges. By mapping essential LMI sources at a national level, examining the use of LMI across European HEIs, and developing a comprehensive training course and an online Labour Market Intelligence Hub, this project aspired to create an indispensable reference for HEIs. This article synthesises the project's key findings, underscoring the critical role of labour market intelligence in adapting academic curricula to meet specific labour market needs, thereby contributing to the broader discourse on the integration of LMI in higher education and its implications for curriculum development, graduate employability, and the overarching alignment between education and labour market expectations. [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 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]

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 study aims to examine the intricate interplay between sales growth, profitability, and tax avoidance strategies adopted by firms. Through an analysis of a diverse dataset spanning multiple industries and regions, this study investigates how sales growth influences a firm’s marketing approach to tax avoidance and its subsequent impact on profitability. The sample is Jordanian industrial firms listed on the Amman Stock Exchange for the study period between 2010 and 2020. Four critical variables used in the dataset are tax avoidance, return on assets, sales, and size. It employs a mixed-methods approach, including quantitative regression analysis and qualitative assessments of corporate tax strategies. The study results reveal a strong negative relationship between ROA and tax avoidance; for every unit increase in ROA, tax avoidance decreases by 0.198 units. Sales, however, do not exhibit a statistically significant association with tax avoidance. Firm size is an additional predictor with a marginally significant direct link with tax avoidance (β = 0.042, p = 0.049). This study highlights the central role of profitability in shaping tax avoidance strategies, with larger firms marginally more inclined toward tax planning.

This study aims to analyze marketing strategies in the admission of new students at SMK Negeri 3 Palembang. The type of research used by researchers is qualitative research. This research uses data sources consisting of two types, namely primary and secondary data sources. The results of this study indicate that: First, marketing strategy planning at SMK Negeri 3 Palembang is the main thing in the New Student Admission (PPDB) activity. Planning involves the principal, the vice principal of student affairs, and the school marketing team. The planning of marketing activities in PPDB at SMK Negeri 3 Palembang includes creating a committee structure, determining work programs, implementation, and evaluation. Second, at the implementation stage of marketing strategy planning, SMK Negeri 3 Palembang conducts a school promotion strategy by applying the 5 elements of the marketing mix, collaborating, and providing the best possible service to the community. Third, the evaluation of the marketing strategy at SMK Negeri 3 Palembang is carried out at the end of the PPBD implementation period in the form of an accountability report. Fourth, the problematic marketing strategy of SMK Negeri 3 Palembang in the 2022-2023 school year runs less than optimal due to the lack of enthusiasm for work motivation and teamwork of the organizing committee for new student admission activities.

Technological progress has had an impact on various fields. The economic sector has not been spared either. With the development of technology businesses, the right strategy must be embraced. This study aims to determine the marketing strategies businesses adopt in trading imported books on the Instagram platform. A qualitative research method was using interviews and documentation data. A total of six businesses were interviewed, and the data was then presented with some analysis. The results indicate that the marketing strategies used by the traders are promotions through Instagram features, market segmentation, and consumer engagement. The paper humbly suggests that businesses may widen their market by adopting other social media and involving e-commerce. In addition, the study argues that businesses must consider several factors in their promotions, such as price, quality, and trend. The paper carries some limitations and comes with several recommendations.

This paper focuses on introducing the marketing strategies used in the agricultural industry. Marketing can be defined as a purposeful way of influencing the behavior of an organization to achieve pre-formulated goals. This influence is exercised through the management decisions taken, in the formulation of which modern agricultural organizations focus not on the internal environment but on its interactions with the external environment. In the 1950s, a significant shift in management thought and practice occurred in the management of business organizations with the emergence of the marketing concept of management.

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]

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]

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]

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]

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]

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.

Trekking Rinjani is a travel agent that has been established for a long time with a market focus on adventure tour packages via the website. In recent times, sales of adventure tour packages on this type of travel have decreased, so there is a need for appropriate strategies as reference and evaluation material in competing and increasing the number of customers, especially at low sessions. The study was conducted on the marketing strategy by reviewing strengths, weaknesses, opportunities and threats aspects of Trekking Rinjani with consideration of the 5C (Customer, Creative Content, Communication, Consistency and Control) aspects of the Online Marketing Model, where all data is collected through an interview process and secondary data analysis from Google Analyst. The data is then aggregated and classified based on internal and external factors through a SWOT analysis. Based on the SWOT analysis, it was found that Trekking Rinjani has to improve service and content quality to increase the enthusiasm of the visitors on the website in enjoying the content as well as to improve customer trust. In addition, the quality of the website display and minimizing errors in the website system should be conducted.

Abstract Preparation for the launch of a new product is a key element that will allow an organisation to maximise its chances of establishing itself in the consumer's mind. It is therefore necessary to analyse and define the needs, behaviours, purchase paths of the potential customer/consumer. This knowledge is essential for building the final product / service, but also for the product development strategy, followed by its promotion, sales and lifecycle management. In the implementation strategy process, it is necessary to establish elements (activities) such as the name, logo, packaging, market analysis, marketing strategy, and sales strategy (including distribution and sales channels). The article analyses the new product launch process from an economic, marketing, financial and organisational perspective. Streszczenie Przygotowanie do wprowadzenia nowego produktu na rynek jest kluczowym elementem, który pozwoli organizacji zmaksymalizować szanse na zaistnienie w świadomości konsumenta. Konieczne jest więc przeanalizowanie i zdefiniowanie potrzeb, zachowań, ścieżek zakupowych potencjalnego klienta / odbiorcy. Ta wiedza jest niezbędna do budowania finalnego produktu / usługi, ale także strategii rozwoju produktu, a następnie jego promocji, sprzedaży i zarządzania cyklem życia. W procesie strategii wdrażania konieczne jest ustalenie takich elementów (działań), jak: nazwa, logotyp, opakowanie, analiza rynku, strategia marketingowa, a także strategia sprzedażowa (obejmująca kanały dystrybucji i sprzedaży). Artykuł analizuje proces wprowadzania nowego produktu na rynek z perspektywy ekonomicznej, marketingowej, finansowej i organizacyjnej.

In the conditions of permanent capital outflow and business registration by residents in other jurisdictions, the issue of developing a country’s marketing strategies for doing business and identifying the most effective mechanisms for increasing international tax attractiveness is urgent. The prerequisite of these processes should be the determination of the level of international tax competitiveness followed by identifying the most significant factors of its growth. The purpose of the study is to assess the level of international tax competitiveness as an element of marketing strategies of Ukraine and some EU countries during 2011–2021. The methodological tools are correlation-regression analysis, the Fisher method, and the multiplicative convolution method. The paper assessed the level of international tax competitiveness as a comprehensive indicator that considers procedural, institutional, moral-ethical, and economic components. The calculations showed that the most competitive are the tax systems of Estonia, Latvia, Lithuania, Croatia, Finland, the Czech Republic, and Hungary. Based on hierarchical and non-hierarchical (k-means method) clustering, 3 clusters of regions were identified. For each of them, based on an analysis of the features of the tax system construction and the comparison of marginal and average values, the criteria for the identification of competing countries and those with common development trends were formed. This makes it possible to determine the most effective mechanisms for the implementation of marketing strategies reforming tax policy from the point of view of increasing its international tax attractiveness. AcknowledgmentThe study is funded by the EU NextGenerationEU through the Recovery and Resilience Plan for Slovakia under the project No. 09I03-03-V01-00042.The authors are grateful to the participants of projects “National security of Ukraine through the prevention of financial fraud and money laundering: war and post-war challenges” (2023–2025, state registration number: 0123U101945) and “De-shadowing and regulatory efficiency of environmental taxation: optimization modelling to ensure national security and rational use of nature” (2022–2024, registration number 0122U000777) for numerous discussions and comments.