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Tests new proposed tools for measuring media exposure in a crisis management situation. A theoretical formulae based on a literature review is applied to two crises: the TWA 800 crash and the ValuJet 592 crash. The application of the proposed formulae was generally successful. The outcomes showed that diverse comparisons of media exposure are possible through the new methods.

The purpose of this paper is to examine the differential effects of location‐based mobile advertisements on men and women in work leisure situations.

The study conducted was in a scenario based experimental design in the 2×2×2 ANOVA format. Independent variables included: Type of locations (private/public); Situations (work/leisure); and Gender (male/female). Dependent variables included Perceptions and Behavioural intentions.

Recent findings often indicate that men are more receptive to location‐based ads (LBA) than women. However, in this paper the authors show that in some circumstances women are more favourable to the same mobile LBAs than men because both women's and men's reactions depend on specific location and task situations.

Based on these findings, managers will be able to better target ads to specific genders in different locations and situations, thus maximizing the relevance of the ads, click through rates and affect cost per thousand impressions.

There has been little research on how men versus women react to LBAs based on their orientation towards different situations at hand. This research illustrates what differences exist in their perceptions of LBA and why.

Online social media has become an important marketing communication tool for entrepreneurs and their customers because of its ability to simplify various constraints in the communication process. Online social media allows entrepreneurs to access customers, suppliers, partners and other necessary resources that were not easily reachable before at significantly lower costs. Therefore, the current study aims to examine entrepreneurs’ motivations, expected benefits and intentions to use online social media in an emerging market.

This study used a quantitative approach to investigate the entrepreneurs’ online social media use behaviors. Data are collected from n = 368 entrepreneurial organizations using structured questionnaires and personal interviews. Confirmatory factor analysis (CFA) along with structural equation modeling (SEM) was used to test the hypothesized relationships in the conceptual model.

Results from the data analyses show that entrepreneurs’ perceptions about efforts needed, performance expectations and various social influences helped explain a significant proportion of the variation in entrepreneurs’ intentions to use online social media. All hypotheses tested in the study were confirmed.

Efforts need to be spent on developing positive entrepreneurial attitudes toward online social media usage. As social media becomes more integrated with personal and business life, entrepreneurs need to use social networking sites to build relationships with existing customers or to reach new customers. A larger and more representative sample would have improved generalizability of the findings about entrepreneurial use of online social media. Future research studies should consider using additional independent measures to validate the study results.

This study contributes to the entrepreneurial literature by providing empirical evidence for the link between entrepreneurs’ perceptions and attitudes about social media and their intentions to use it in an emerging market. Additionally, entrepreneurs need to expend more effort in understanding and effectively using social media and should develop positive attitudes toward online social media. Entrepreneurs’ feelings, perceptions and efforts need to be nurtured through support from online social media providers, educational institutions and local chapters of business organizations (i.e. SBA, Chamber of Commerce) alike.

This research is one of the few studies that has attempted to examine the effects of various antecedent factors in the context of entrepreneurs’ intentions to use online social media for business purposes in an emerging market. This study contributes to the entrepreneurial literature by providing empirical evidence for the link between entrepreneurs’ perceptions and attitudes about social media and their intentions to use it in an emerging market. Additionally, this study contributes to our understanding about the role of social influences, effort and performance expectancies on the formation of entrepreneurial intentions to use social media.

Ericsson Information Systems. L. M. Ericsson, the Swedish telecommunications giant, has just formed a new company — Ericsson Information Systems (EIS) — which will compete in the information technology market. The new company has been created out of two Ericsson divisions and Datasaab, a Swedish computer firm, which Ericsson bought a year ago. EIS is expected to continue marketing Datasaab's successful terminal and minicomputer, but in addition will develop and sell products for the private and business markets, particularly integrated information systems, office automation systems and PABXs.

This paper aims to investigate advertising effectiveness in Instagram and Facebook, the two most important social media platforms. It helps to understand which should be chosen depending on the target audience of the campaign.

The study examines advertising effectiveness in these social media in terms of ad attitude, ad intrusiveness and loyalty intentions. An online survey was conducted with 303 social media users. Age and gender are proposed as moderators.

The results indicate that Instagram Stories not only enhances consumer attitude toward ads but also increases perceived intrusiveness, compared to Facebook Wall. Millennials are more disturbed by Facebook Wall ads than non-millennial users. A triple interaction effect reveals that non-millennial men are more loyal toward Facebook Wall ads, whereas millennials of both genders and non-millennial women are more loyal to ads on Instagram Stories.

Advertisers should be aware of the differential features and segmentation possibilities in social media to better address their target audiences. More precisely, the research findings suggest that professionals should focus on Instagram Stories when targeting millennials and non-millennial women, and on Facebook Wall when targeting non-millennial men.

This study is one of the first to contribute to the literature on Instagram Stories as an advertising platform and compare its differential features with those of more established social media, such as Facebook Wall.

Esta investigación compara la efectividad publicitaria en Instagram y Facebook en función del público objetivo.

La investigación analiza las diferencias entre cada formato de red social en términos de actitud hacia el anuncio, intrusividad percibida y lealtad hacia el producto o marca anunciado. Mediante una encuesta online a 303 consumidores, se proponen efectos directos y efectos moderación de la edad y el género.

Los resultados indican que Instagram Stories mejora la actitud hacía el anuncio, pero aumenta también la intrusividad en comparación con Facebook Wall. La publicidad en Facebook Wall es más intrusiva para los millennials que para los no-millennials. Instagram Stories incrementa la lealtad entre los usuarios millennial de ambos sexos y las mujeres no-millennial; en cambio, los hombres no-millennial son más leales a la publicidad en Facebook Wall.

Los anunciantes deben aprovechar los nuevos formatos y las posibilidades de segmentación que les brindan las redes sociales para llegar a su público objetivo de manera más efectiva. Concretamente, los hallazgos de la investigación sugieren que deberían centrarse en Instagram Stories para dirigirse a un público millennial y a mujeres no-millennial; y en Facebook Wall, cuando su público objetivo sean los hombres no-millennial.

Este estudio es uno de los primeros que aborda el uso de Instagram Stories como soporte publicitario y lo compara con formatos publicitarios consolidados como Facebook Wall.

Community‐based business models attempt to profit from the value created by individuals interacting in virtual communities. An interesting variant of this model is the programmable autonomous business. A programmable autonomous business is an automated business built entirely in software, that once developed can profitably operate without any human involvement. We know little about how to systematically design such businesses. Existing research on designing virtual communities does not address how to transform them into autonomous businesses, nor is it clear whether all the design principles for virtual communities are relevant to an autonomous business. The research reported in this paper takes an inductive, business‐centered approach to understanding how to design autonomous businesses. The information activity in a successful, yet basic autonomous business is analyzed and its functions compared with those in a conventional business. From this analysis a set of design guidelines for a prototypical autonomous business are inferred. The paper ends with a discussion of various ways researchers can use a programmable autonomous business as a test bed for consumer‐related e‐business systems.

This study develops a model for selecting Internet advertising networks. The proposed model adopts the “analytic hierarchy process” (AHP) to determine the relative weights of evaluative criteria, then ranks the alternatives and selects the optimum Internet advertising network for advertisers. Additionally, a famous Taiwanese food company is used herein as an example of how an Internet advertising network can be selected using this model. The proposed model helps advertisers to effectively select Internet advertising networks, making it highly applicable for academia and commerce.

The purpose of this paper is to explore the various application of artificial intelligence (AI) to social media and digital advertising professionals and agencies to specialize to an advanced degree and maintain collaboration and creativity to bring a better return on investment.

Digital marketers are still oblivious to the importance of AI application, while some others simply do not know how to implement it. AI is currently acting as a significant disruption in digital and social media marketing worldwide.

Based on the literature review, the paper identifies the various AI applications in the field of digital media marketing.

This paper can serve as a useful guide for social media marketers to implement AI applications to impact digital marketing strategies better.

The purpose of this paper is to conduct a structured literature review using advanced bibliometric tools to understand the existing knowledge base, understand the trends in omni-channel (OC) research and identify emerging research topics.

More than 500 articles selected through a keyword combination search from reputed databases of peer-reviewed academic sources from period 2009–19 are analyzed for the purposes of this study. The study first presents an exploratory analysis to determine influential authors, sources and regions, among other key aspects. Second, several network analyses including co-citation and dynamic co-citation network analyses are conducted to identify themes. These allow identifying research clusters and emerging research topics algorithmically. Both centrality and modularity-based clustering are employed. A content analysis of the most influential groups within OC literature for each cluster is included.

The findings of this paper make unique contributions by using advanced tools from network analysis along with the standard bibliometric analysis tools to explore the current status of OC research, identify existing themes and the guidance for potential areas of future research interest in OC.

This research provides a comprehensive view of the range of topics of importance that have been discussed in the literature of OC management. These research trends can serve as a quick guide to researchers and practitioners to improve decision making and also develop strategies.

The paper employs advanced tools for the first time to review the literature of OC retailing. The sophisticated tools include co-citation and dynamic co-citation network analysis.