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This study examines the relationship between advertising and financing decisions in an online supply chain consisting of an e-platform and a capital-constrained retailer. The e-platform is the leader in a Stackelberg game, and the interaction is modelled in two advertising scenarios. The results indicate that advertising can reduce risk and is always beneficial, with an e-platform willing to support the retailer only when the former decides on the advertising level. When providing both advertising and financing services, the e-platform gains the ability to directly regulate the retailer's ordering decisions, thereby increasing its strategic flexibility. [ABSTRACT FROM AUTHOR]

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.)

In this present study, a single-manufacturer and single-retailer supply chain management model are formulated for a single product. This study specifically looks at a supply chain with variable production rate, stochastic lead time demand, and price- and advertisement-dependent demand. By incorporating these complex aspects into a model, which enables to examine their combined effects on supply chain performance, this study adds to the body of knowledge. The study reveals unique insights into the complex interplay between pricing tactics, advertising efforts, production dynamics, and the variability brought on by stochastic lead times through meticulous study and modelling. Finally, the total system profit is calculated and optimized with all the decision variables. A classical approach is performed to obtain the optimized solution of the joint profit function along with the decision variables. Two models are discussed in the study: (1) the model with normally distributed lead time demand and (2) the model with distribution-free lead time demand. The joint profit of the supply chain is found to be lesser by 1% for the normally distributed lead time demand than the distribution free pattern. The comparison of the shipment policies and the safety factors for the different distribution patterns of the lead time demand are shown. Though the huge increment in the safety factor for unknown leadtime demand distribution may help in reducing the uncertainity factor and disruptions in the supply chain, but also it may unnecessarily tie up more capital which can be invested in other sectors of the supply chain. [ABSTRACT FROM AUTHOR]

"Lookalike" products, including counterfeits and copycats, are increasingly common in today's global marketplace. Four lab experiments were conducted involving 653 participants, and data were analyzed through SPSS 26. Based on social representation (SR) theory and self‐construal theory, this research examines how advertising for original brands impacts purchase intent for counterfeits and copycats differently. The results suggest that ads for the original product using value‐expressive (vs. utilitarian) appeals result in lower intent to purchase copycat versions. However, ads for the original product using utilitarian (vs. value‐expressive) appeals lead to lower purchase intent for counterfeit versions. The results also show that consumer need fulfillment mediates the interactive effect between ad appeal type and product type. The current research provides useful insights for marketers or retailers grappling with ongoing competitive threats posed by lookalike products and underscores the strategic utilization of various advertising tactics to reduce the demand for copycats and counterfeits. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Application Business & Management / Jurnal Aplikasi Bisnis dan Manajemen is the property of IPB University 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.)

Objective: The purpose of the present study was to identify and classify the factors affecting the financial distress of Iranian professional football clubs based on interpretive structural modeling (ISM). Methodology: This research is qualitative research with descriptive-analytical nature and it is applied research which was done through interpretive structural method. Data collection tools were library studies, interviews and questionnaires. The statistical population of the study consisted of all sport managers, professors and academic experts familiar with soccer, football players and pioneers of the country, 65 of whom were selected by purposeful and snowball method in each section of the study. Interpretive structural method (ISM) was also used for data analysis. Results: 69 factors affecting the outflow of financial distress from Iranian football clubs were identified. They were classified into 7 dimensions: management, infrastructure, human capital, marketing and advertising, technology and technology, legal and communication factors and 4 levels. Management was identified as the fourth level of the model, the most basic and underlying model. Conclusion: Finally, according to the results of the research, stabilizing club management, outsourcing the club to the private sector, employing managers and marketing experts, organized communication with internal and external scientific and research centers, interaction with managers and specialists in successful European clubs and getting to know the legal issues of the club is recommended to get rid of financial distress. [ABSTRACT FROM AUTHOR]

Simple Summary: In addition to veterinary advice, pet owners rely on the internet for information on their pet's health. Effectively managing a pet's weight is often an underestimated component of wellness for pets, and there is an opportunity for veterinary practices to utilize an online platform to educate pet owners on the importance of weight management. The primary objective of this study was to describe the type of canine and feline weight management services, products, and information advertised or displayed on the websites of 50 veterinary practices in Ontario. An additional objective was to explore whether the size, company status, and location of the practice influences what is advertised or displayed. The preliminary results suggested that veterinary practices do not prioritize advertising weight management services, products, or educational material online for the public, and this was especially true for smaller practices with fewer veterinarians and veterinary technicians employed. Independently owned veterinary practices also seemed to advertise weight management products less than corporate practices. The exploratory findings of this study highlight the need for veterinary teams to provide educational and up-to-date online resources on weight management for pet owners. This, in turn, can provide trusted educational and accessible information for pet owners and contribute to client loyalty. Pet owners rely on information and advice from their veterinary practice to effectively manage their pet's weight. This study investigated weight management information and services displayed on practice websites in Ontario, Canada. Information collected from the websites of 50 randomly selected small and mixed-animal practices included practice and staff demographics and the type of weight management services, products, and information advertised or displayed. The most frequently advertised weight management service and product were nutritional counselling (34%) and therapeutic diets (25%), respectively. Current bodyweight measurement was advertised on just over half of the websites (54%), while physical therapy counselling was the least-advertised service (16%). Further statistical analyses were performed in an exploratory fashion to determine areas for future research. Binary logistic regression analyses were used to investigate the association between practice demographics and the type of weight management information advertised online. A maximum of two predictor variables were included in each regression model. Exploratory analyses indicated that when controlling for the number of veterinarians in each practice, having a higher number of veterinary technicians was associated with increased odds of a practice website advertising current bodyweight measurement by 80.1% (odds ratio (OR) = 1.80, p = 0.05). Additionally, when controlling the number of veterinary technicians, having a higher number of veterinarians was associated with increased odds of a practice website advertising sales of therapeutic diets by 119.0% (OR = 2.19, p = 0.04). When using corporate practices as reference, independently owned practices had decreased odds of advertising sales of treats and weight management accessories on their practice websites by 78.7% (OR = 0.21, p = 0.03). These preliminary results suggest that advertising weight management information is not prioritized on veterinary practice websites in Ontario, especially those with lower staff numbers. The findings of this study raise awareness on the current state of weight management promotion for pets on veterinary practice websites and highlight ways to improve upon a practice's online presence. [ABSTRACT FROM AUTHOR]

This article explores the role of human resource management (HRM) policies within marketing organizations and their impact on business and marketing strategy implementation. It emphasizes the importance of effective HRM in enhancing overall performance, communication, development, collaboration, and training within an organization. The article suggests that incorporating technology, encouraging employee participation, improving communication, and developing infrastructure can further enhance the effectiveness of HRM in marketing organizations. However, the study acknowledges limitations in the research method and suggests future research should consider quantitative methods and address customer satisfaction. Overall, the article provides insights into the role of HRM in marketing organizations and offers potential strategies for improvement. [Extracted from the article]

Many sequential decision problems have a weakly coupled structure in that a set of linking constraints couples an otherwise independent collection of subproblems. This structure arises in a wide variety of applications, such as network revenue management, online advertising, assortment planning, interactive marketing, optimization of power systems, and multilocation inventory management to name only a few. Such problems can be modeled as dynamic programs but are quite difficult to solve. Two widely studied approximation methods are approximate linear programs, which involve finding a best approximation of total value that is additive across the subsystems, and Lagrangian relaxations, which involve relaxing the linking constraints. It is well known that both of these approaches provide upper bounds to the optimal value, and the approximate linear programming approach is a better bound but also, more difficult to compute. In this paper, we provide a detailed theoretical analysis of these two approximations and show that, under fairly broad conditions, these two approximations lead to upper bounds that are very close and often identical. Our theory suggests that, between these two approximations, Lagrangian relaxations should usually be the preferred choice for researchers studying applications involving weakly coupled dynamic programs. Many stochastic dynamic programs (DPs) have a weakly coupled structure in that a set of linking constraints in each period couples an otherwise independent collection of subproblems. Two widely studied approximations of such problems are approximate linear programs (ALPs), which involve optimizing value function approximations that additively separate across subproblems, and Lagrangian relaxations, which involve relaxing the linking constraints. It is well known that both of these approximations provide upper bounds on the optimal value function in all states and that the ALP provides a tighter upper bound in the initial state. The purpose of this short paper is to provide theoretical justification for the fact that these upper bounds are often close if not identical. We show that (i) for any weakly coupled DP, the difference between these two upper bounds—the relaxation gap—is bounded from above in terms of the integrality gap of the separation problems associated with the ALP. (ii) If subproblem rewards are uniformly bounded and some broadly applicable conditions on the linking constraints hold, the relaxation gap is bounded from above by a constant that is independent of the number of subproblems. (iii) When the linking constraints are independent of subproblem states and have a unimodular structure, the relaxation gap equals zero. The conditions for (iii) hold in several widely studied problems: generalizations of restless bandit problems, online stochastic matching problems, network revenue management problems, and price-directed control of relocating resources. These findings generalize and unify existing results. Supplemental Material: The online appendix is available at https://doi.org/10.1287/opre.2022.2287. [ABSTRACT FROM AUTHOR]

Copyright of FinanzRundschau is the property of De Gruyter 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.)

This article examines the relationship between e-marketing mix strategy (EMMS) and organizational performance (OP) in Jordanian small and medium-sized enterprises (SMEs). The study finds that all e-marketing techniques have a positive impact on OP metrics, including product development, pricing strategies, promotional activities, and online distribution channels. The findings emphasize the importance of implementing e-marketing strategies for SMEs in Jordan to enhance their performance and competitiveness in the digital era. The article suggests further research on the moderating impacts of contextual variables, long-term impacts on competitive advantage and sustainability, and new trends in e-marketing. Overall, efficient e-marketing techniques can improve various organizational performance parameters in Jordanian SMEs. [Extracted from the article]

Advertising or promotion management analyses, plans, and monitors programs to create target market exchanges and achieve institutional goals. Early childhood education (ECE) is an educational institution needing advertising management. This study examines the implementation of ECE advertising management in terms of challenges, opportunities, and developments. This study showed two major areas: 1) practitioners were more innovative and creative in using technology to develop advertising management, and 2) the educational institution got better recognition from society, especially parents. This study uses the literature study method, assisted by the publish perish application, to find reference sources related to educational advertising management for ECE. The study showed that the ability of schools and teachers to provide services based on consumers' demands influenced the implementation of organisational advertising management challenges. Meanwhile, advertising management developments were sometimes affected by the actions of the advertising media. Social media informed consumers about the institution without spending more money and effort. [ABSTRACT FROM AUTHOR]

The article focuses on digital platforms, particularly the tech companies (Alphabet, Amazon, Apple, Meta, and Microsoft), and discusses the common success factors and antitrust issues related to these major players. It highlights the dominance of a small number of global platforms, most of which are headquartered in the U.S., and suggests that the insights from this analysis can be beneficial for policymakers and business decision-makers to enhance the European technology ecosystem.

This pedagogic commentary introduces the concept of "brand blunders" to the macromarketing literature and considers the interaction between advertising, race, and society from a macromarketing perspective. We first analyze relevant literature on cultural stereotyping in advertising for both gender and race, and evaluate consumer responses to ideologies in advertisements. Three prominent recent racial controversies are selected to examine the nature of the advertising imagery, consumer interpretations of the advertisements in question, and the company responses to the public furor created by these campaigns. We then consider the issues, implications, and potential actions for macromarketing raised by these examples, and some key research questions that arise for future macromarketing scholarship. The commentary is intended to provide macromarketing educators with a summary of the key knowledge base on the relationship between advertising, race, and society, for use in courses in advertising, brand management, consumer research, innovation management, marketing communications, and marketing strategy. [ABSTRACT FROM AUTHOR]

This paper examines the effect of product substitutability on the equilibrium profits in a distribution channel of two symmetric manufacturers selling substitutable products to consumers through a nonexclusive retailer. Conventional wisdom suggests that when the products are more substitutable, the retailer will be better off while the manufacturers will be worse off, owing to the dominance of the competition effect of substitutability. In this work, we identify the hitherto neglected demand effect of substitutability and show that the relative strength between the competition and demand effects is the key to this result. As the products become more substitutable, the upstream competition does intensify, but vitally, the demand may expand. We show that the interests of the retailer and manufacturers can be aligned in terms of product substitutability, depending on both the demand and supply factors. Surprisingly, the conventional result can even be completely reversed such that the manufacturers benefit from a certain level of substitutability for some demand patterns. Assuming linear demand, we further isolate the important role of the bargaining power balance and the alternative of agency selling format in moderating the competition effect. For example, as the retailer gains more bargaining power, the (negative) demand effect can overshadow the (positive) competition effect such that a higher degree of substitutability can actually hurt the retailer. Our findings provide valuable implications for persuasive advertising and category management. [ABSTRACT FROM AUTHOR]

Purpose: The study of the background to programmatic advertising is of great interest in the context of digital marketing. Therefore, the main aim of this research is to define a structural equation modelling (SEM) model, which allows studying the relationship between the usefulness and privacy of online ads to increase the effectiveness and efficiency of campaigns through the use of computation and big data. Design/methodology/approach: A cross-sectional descriptive study based on the Web Browsers Survey was carried out on a sample of 24,062 Internet users by the Association for Media Research. The partial least squares structural equation modelling method (PLS-SEM) was applied to evaluate the model with the study constructs and test the hypotheses. Findings: The result of this research allows us to know how perceived usefulness (U) and perceived annoyance (A) affect users' privacy concerns (P) and concerns about the storage and use of their data through cookies (C). The authors also seek if there is any relationship between privacy concerns (P) and cookies (C) on users' level of Internet usage (IU). Originality/value: One of the novelties of this study is the consideration not only of Internet user perceptions but also their concerns about privacy and the use of cookies, as key variables in the strategic management of the use of programmatic advertising in digital marketing. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this paper is to study the challenges of digital advertising from the characterization of the influencer phenomenon based on the perceptions of two different and non-consecutive generations, explored from the perspective of parasocial relationships Design/methodology/approach: Using a quantitative methodology design and a descriptive approach, a study is presented on a sample of 449 individuals belonging to two generational niches, generation Z (N = 227) and generation X (N = 222). For the study, characterization parameters have been defined based on existing literature, defining five-dimension conceptualization: strength, fairness, engagement, trustworthiness and social role. Findings: The results point to a different perception of the phenomenon in some aspects that allow an intergenerational portrait of the figure of the influencer to be made. The findings of the study are innovative because they were not previously available and transcend academia to serve the companies that proliferate in the representation and management of influencers, as the characterization of this figure is important for the identification of key aspects in the adjustment of products and messages offered to a certain public of a specific population niche, both for advertising companies and for media and institutions. Originality/value: The study reveals interesting challenges for digital advertising from the audience's perceptions about influencers, highlighting the relevance of influencers which clearly contributes to a better understanding of more efficient strategies on digital advertising. [ABSTRACT FROM AUTHOR]

Copyright of Organizational Culture Management is the property of University of Tehran 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.)

Purpose: This study aims to determine the influence of candidate employees' social media accounts (SMAs) on human resource (HR) professionals' hiring decisions as a job application reference in the tourism industry. Design/methodology/approach: Using a qualitative approach, semi-structured interviews were conducted in tourism businesses, such as hotels, travel agencies, restaurants, bars, and ground-handling service companies. In-depth, open-ended interviews with 16 questions were conducted to gather data face to face between October 15 and December 20, 2021, with 38 HR professionals. The research questions were analyzed using thematic analysis and discussed under three main themes. Findings: The findings of this study showed that HR managers in the tourism industry generally prefer to examine candidates' SMAs rather than traditional references because they can quickly and cheaply screen many applicants. Originality/value: Social media (SM) is increasingly used as a crucial channel in recruitment within organizations. This paper contributes by filling a gap in HR management, which empirical studies on the influence of job applicant's SMAs on recruiters' hiring decisions have been limited so far. [ABSTRACT FROM AUTHOR]

Purpose: This paper examines the relationship between "chronological age" and the individual difference variables: "Need for cognition" (NFC) and "Need for emotion" (NFE). More specifically, this study investigates the influence of these individual difference variables on elderly responses towards advertising. Design/methodology/approach: This study is based on a sample of 600 individuals. 300 elderly aged between 60 and 75 years old (average age: 67.67 years old), recruited from institutions and third age universities in Paris and 300 young adults, aged between 20 and 35 years old (average age: 25.14 years old) from academic institutions in Paris. Findings: The findings show that NFC and NFE have different levels depending on age. Indeed, NFC is lower among older than younger individuals, and NFE is higher among older than younger individuals. Moreover, different levels in NFC and NFE may affect responses to ads. Thus, a high NFC can elicit more favorable cognitive responses to ads and a high NFE triggers more favorable affective responses. Research limitations/implications: The study investigates specifically the effects of chronological age on the individual difference variables NFC and NFE; however, the influence of chronological age on these individual variables may be affected by other variables such as subjective age, level of education and physical condition. Practical implications: Given that NFC and NFE are dynamic variables that change with age and that they influence responses to advertising, it would be necessary to take them into account and to integrate them when building management persuasion models specifically targeting the elderly. Originality/value: This study focuses on the influence of individual variables (NFE and NFC) on responses to advertising, of an underexplored population: the elderly. This could help to better understand the persuasion mechanisms when it comes to targeting the elderly both outside and inside organizations, with deriving implications for change in management. [ABSTRACT FROM AUTHOR]

Ad spending in the Asia-Pacific region is estimated to have reached $210.43 billion in 2018, or 33.5% of worldwide ad spending (McNair [74]). From these two approaches, research studies consider a general set of topics, including ad practices, consumers' perceptions and beliefs, ad content, ad effects, and ad education. Building on prior reviews of advertising research in general (e.g., Yale and Gilly [114]; West [113]), we explore the topics covered in Asian advertising studies with a seven-topic typology, comprising advertising practice, advertising content, advertising effects, consumers' perceptions and beliefs about advertising, topics tangential to advertising (e.g., media uses and consumer behaviors), advertising education, and other. Single-country studies have examined advertising practitioners' perceptions of advertising in general and the perceived benefits of different media, marketing communication activities, or advertising appeals. When ads use foreign models, Chang ([14]) finds that even though Taiwanese consumers perceive ads with Caucasian models as more global and representative of developed countries, they do not like them more than ads featuring Asian models. [Extracted from the article]

Firms frequently advertise products and services before they are launched. Yet how to best design such advertisements is not well understood. The current article investigates how consumers respond to uncertainty in prerelease advertisements. Across five studies, including both field and lab studies, we first provide evidence for the positive effect of uncertain prerelease advertisements using real consumer behavior on Facebook and YouTube and at the box office. Next, we uncover the mechanism underlying this effect (i.e., inflated outcome expectancies), outline a managerially relevant boundary condition (i.e., the positive effect reverses when a preorder opportunity is offered), and demonstrate that the effect of uncertainty on consumer response differs in prerelease versus postrelease advertisements depending on consumers' perceived risk. Finally, we discuss implications for marketing research as well as for the design of prerelease advertisements for stimulating prerelease buzz and word of mouth. [ABSTRACT FROM AUTHOR]

Our research question is motivated by a real problem faced by an existing demand aggregator. The aggregator represents multiple advertisers, each of whom signs one of two types of contracts with the aggregator for bidding on an RTB (real‐time bidding) platform. A quality contract occurs on a cost‐per‐impression (CPM, i.e., cost per thousand impressions) basis. The advertiser is promised a minimum number of impressions and pays a CPM that is a function of the targeting quality as measured by the realized click‐through rate (CTR). In a performance contract the advertiser pays on a CPC (cost‐per‐click) basis constrained by a budget. We develop and solve a generalized profit maximization problem that jointly optimizes the aggregator's bidding and allocation decisions. The allocation policy optimally assigns each arriving bidding opportunity to a specific advertiser. The bidding policy then computes a bid amount for that allocation based on the estimated click probability of the opportunity. Our solution has nice theoretical properties. First, neither policy depends on the memory carried in the system, that is, the sequence of previous states and decisions, making the solution easy to implement. Second, the allocation policy is shown to have a threshold structure. This enables the assignment of arriving opportunities into one of two distinct sets, each corresponding to a specific advertising contract type. The assessment of the impact of the change in various parameters on the solution is used to derive several interesting and important implications for the management of advertising contracts. [ABSTRACT FROM AUTHOR]

A Novel Class of Robust and Fast Algorithms for Online Allocation Problems A central problem in operations research is allocating limited resources sequentially to maximize cumulative rewards. Applications abound and include network revenue management and internet advertising among many others. Existing data-driven algorithms are tailored for convex settings with either adversarial or stochastic inputs. Many modern applications of online allocations problems, however, are nonconvex. Furthermore, algorithms for adversarial inputs may be too conservative in practice, whereas algorithms for stochastic inputs can perform poorly when the model is misspecified. In the paper "The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems," Balseiro, Lu, and Mirrokni present a novel class of algorithms for nonconvex online allocation problems that attain good performance simultaneously in stochastic and adversarial input models and also in various nonstationary settings. The resulting algorithms are simple, fast, and robust to noise and corruption in the observations, in contrast to existing methods from the literature. Online allocation problems with resource constraints are central problems in revenue management and online advertising. In these problems, requests arrive sequentially during a finite horizon and, for each request, a decision maker needs to choose an action that consumes a certain amount of resources and generates reward. The objective is to maximize cumulative rewards subject to a constraint on the total consumption of resources. In this paper, we consider a data-driven setting in which the reward and resource consumption of each request are generated using an input model that is unknown to the decision maker. We design a general class of algorithms that attain good performance in various input models without knowing which type of input they are facing. In particular, our algorithms are asymptotically optimal under independent and identically distributed inputs as well as various nonstationary stochastic input models, and they attain an asymptotically optimal fixed competitive ratio when the input is adversarial. Our algorithms operate in the Lagrangian dual space: they maintain a dual multiplier for each resource that is updated using online mirror descent. By choosing the reference function accordingly, we recover the dual subgradient descent and dual multiplicative weights update algorithm. The resulting algorithms are simple, fast, and do not require convexity in the revenue function, consumption function, and action space, in contrast to existing methods for online allocation problems. We discuss applications to network revenue management, online bidding in repeated auctions with budget constraints, online proportional matching with high entropy, and personalized assortment optimization with limited inventory. Supplemental Material: The online appendices are available at https://doi.org/10.1287/opre.2021.2242. [ABSTRACT FROM AUTHOR]

Copyright of Doxa Comunicación is the property of Fundacion Universitaria San Pablo - CEU 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.)

Artificial intelligence (AI) is significantly reshaping branded content delivery and consumer engagement in the advertising industry. Generative AI, exemplified by ChatGPT, is anticipated to have a substantial impact on all digital advertising domains worldwide. This special issue delves into the exploration of future trends in global digital advertising in the era of generative AI. The research articles within this special issue encompass a diverse array of topics, ranging from consumer responses to AI-generated virtual influencers in the metaverse and livestreaming e-commerce to the influence of anthropomorphic virtual agents, privacy concerns in online behavioral advertising, understanding of AI-driven ethnic affinity targeting, and the role of relational bonds within online gaming communities. [ABSTRACT FROM AUTHOR]

Tourism and food & beverage are and have always been strongly connected. Nevertheless, in recent times, the experience potential of various types of local food and beverages (f & b) have sparked significant attention in food and beverage tourism amongst the tourism industry and destination marketing organizations. Food, beverage, and tourism researches have been done from a range of disciplines viewpoints, including finance, advertising, local participation, dietary habits, entrepreneurship, hospitality, ethnography, cognitive science, and other related fields, and the available literature on F & b tourism contains "management and marketing viewpoints" as well as "sociocultural viewpoints." As a result, there has been a pressing need for new conceptual and empirical research that would add to the field of inquiry, particularly in the marketing and management aspects of f & b tourism, by recognizing important emerging developments. The selection of papers for this special issue on "Food and Beverage Tourism: Marketing and Management Perspectives" took a multidisciplinary approach. The goal was to provide a thorough overview of innovative issues while also presenting the current state of the tourism and marketing industries. Five papers were selected through a rigorous double-blind review process. These articles cover a wide range of topics in the field of food and beverage, including phenomenological examination of craft beer, mixing wine and tourism cultures, wine experienscape and visitor satisfaction, and wineries of Benedictine monasteries throughout Europe. [ABSTRACT FROM AUTHOR]

This research article was carried out to develop a strategic model based on the Kaplan and Norton methodology, the Balance Scorecard, where microentrepreneurs are facilitated to planning and managing their processes to obtain a competitive advantage that allows them to improve their situation, increase their profits, and sustain themselves in the market. The model utilizes diverse strategies that fulfill five objectives considered in a strategic map based on four perspectives. This descriptive, nonexperimental study was carried out with micro-enterprises from commune 1 of the city of Santiago de Cali, Colombia. A survey was implemented to collect the data that helped to detect the needs of these micro-enterprises and their realities. With this data, together with the auscultation of theories and methodologies of personnel management, process standardization, customer service and sales management through the Internet, it was possible to outline the model proposed here. Additionally, it was possible to verify that these micro-enterprises demonstrate weaknesses in office automation skills, forcing themselves to manually keep their scarce paper records, which prevents the proper handling of information and the control of their processes and procedures, in addition to the notable shortcomings in advertising and sales management. [ABSTRACT FROM AUTHOR]

With the rapid development of the Internet and the rapid expansion of the advertising market, display advertising has become the most popular means of publicity. Accurate advertising recommendation is the guarantee of Internet platform revenue, and accurate advertising click-through rate prediction is the premise of accurate recommendation. According to the requirements of the update rate and real-time of the advertising platform, the coupling relationship of the advertising business module can be divided into two categories: offline business module and online business module. The offline advertising management module is mainly based on the construction of the mathematical model, which is used to mine the complex relationship between users and commodity characteristics; the online advertising management module is mainly based on the real-time feedback of users and changes the recommendation strategy in real time by collecting feedback information. For the offline advertising management module, an advertising click-through rate prediction model based on attention mechanism and neural network is proposed, which is called CAN. This method provides richer feature interaction information for a neural network layer. For the online advertising management module, a real-time recommendation algorithm based on Gaussian process is proposed. This method can solve the universality of specific function assumptions in various environments. Through the coupling of the advertising click-through rate prediction model constructed by the offline advertising management module and the real-time recommendation algorithm of the online advertising management module, the accurate delivery of advertising can be realized. [ABSTRACT FROM AUTHOR]

Social ads, along with apps, display and geolocation are the most used actions in the context of mobile marketing. Adolescents are also identified as the main target audience for mobile marketing because they are very active users, they have a sound command of technology and their role as prescribers, especially in social networks. For this reason, the interaction between advertising on social networks among minors (10-14 years) was studied, differentiating between those standard format ads and those commercial content published by influencers. To this avail, more than 2,400 ads were analyzed after monitoring for a week the commonly used device of a sample of minors from the Metropolitan Area of Santiago de Chile. Standard formats, despite being the most used, they hardly generated interaction, unlike commercial content by influencers, which achieved a higher level of interaction (visual and click interaction), although they were less employed. These results open the door to question the advertising management of a digital space which was created for dialogue such as social networks, in which advertisers prioritize selling products and services. [ABSTRACT FROM AUTHOR]

Purpose: From a distinctiveness theory and elaboration likelihood model (ELM) perspective, this study aims to investigate the determinants, the direct and indirect effects of ethnic identification on brand attachment, brand love and behavioral outcomes. The authors examine two types of products (high- vs low-involvement). Design/methodology/approach: In a survey, participants were randomly assigned to four conditions consisting of two high-involvement (i.e. a smart watch and a car) and two low-involvement (i.e. a soda/soft drink and a shampoo) stimuli. A total of 192 respondents participated in this study; 39% were male, 61% were female and 90% were 18-22 years old. Findings: In line with ELM, the authors offer evidence that ethnic advertising is more effective for low-involvement products targeted at African American consumers. Results also showed that brand attachment partially mediates the effect of ethnic identification with the ad (EthIdenAD) and brand love. In summary, the structural equation modeling (SEM) results support the efficacy of ethnic-targeted ads for developing brand attachment, brand love and behavioral outcomes. Practical implications: Using ethnically targeted ads to target minority groups may not be sufficient to increase the efficacy of ads. According to distinctiveness theory, African Americans with different levels of ethnic identification will respond differently to ad attitudes, brand attachment, brand love, identification with the model in the ad and varying degrees of belief that the ad was targeted toward them. Originality/value: This study examines the effect of ethnically targeted advertising on brand love, and behavioral outcomes with the mediation effect of brand attachment and moderation effect of product involvement. The results of this study suggest several theoretical and practical implications for marketing and brand management, including directions for advertising strategy and consumer–brand relationships. [ABSTRACT FROM AUTHOR]

Facebook has repeatedly come under fire from consumers, companies and government agencies in recent years owing to the prevalence of misinformation on its platform as well as the way it handles information related to social justice and public health, among other things. Using a large data set of 604,269 social media mentions sourced from popular social platforms (eg Twitter and Reddit), this study set out to discover themes associated with misinformation and the Facebook advertising boycott that occurred in July 2020. To understand the discourse, a linguistic analysis approach called theme extraction was used. This method employs machine learning and natural language processing to reveal relationships in the data that may otherwise be buried in the mass of social media mentions. The most prominent theme identified among social media users was the desire that Facebook and other social media platforms actively stop the spread of misinformation. Other trending topics included #StopHateForProfit, lockdown protests, hate speech policy, news as spam, right-wing politics and suspended ads. Managerial implications for advertisers are discussed as they relate to social media management and how misinformation impacts brand engagement on social platforms. [ABSTRACT FROM AUTHOR]