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Social causes increasingly rely on omni-channel touchpoints involving personal discussions and grassroots digital marketing efforts to engage individuals via social referrals. This paper aims to examine digital natives’ perceived effectiveness of omni-channel touchpoints for increasing social cause engagement including social media, digital media, traditional and interpersonal communications, along with an individual’s social/digital media behaviors.

The paper reports empirical results from an online survey of 924 digital natives. The paper uses multivariate and multiple regression analyses to examine the differential effects of a diverse range of media influencing the perceived effectiveness of social cause referrals from a family member versus a close friend.

The results identify the combination of omni-channel touchpoints most likely to be effective for enhancing organ donation support and registration efforts as part of social referral campaigns. The findings suggest differences exist based on whether the campaign targets family members or friends.

The research focuses on digital natives and does not address differences that may vary by specific messages shared across generational groups or ethnicities. More research is also necessary, which examines the effects of digital consumption versus content creation behaviors.

The paper includes implications for social marketers looking at increasing viral reach and engagement via social referral campaigns. Marketers should integrate the omni-channel touchpoints deemed to be most effective for each target based on specific campaign goals.

This paper addresses a gap in marketers’ understanding of how digital natives perceive social referral campaigns targeting their social circle via various omni-channel touchpoints.

The role of customers has moved from reactive to proactive, and they require more control over digital touchpoints. The quest for authenticity is their response to the dark side of interactive marketing – forms of faking, manipulation and exploitation. Authenticity becomes a key topic in interactive marketing as it reflects how customers assess digital touchpoints. However, there is a lack of comprehensive knowledge of authenticity in the interactive environment.

This article consolidates the authenticity studies in various digital touchpoints using the entity-referent correspondence framework. This research employs bibliometric analysis and thematic analysis of 103 articles in the last 15 years.

Five research clusters are identified: (1) human, (2) brand-generated content, (3) user-generated content, (4) branded platforms and (5) new technologies-based touchpoints (artificial intelligence, augmented reality and virtual reality). Most interactive marketing studies focus on human and content authenticity, and new technologies-based touchpoints lack comprehensive conceptualization. The review synthesizes the types of authenticity used in each touchpoint and highlights the importance of true-to-creator-self and true-to-customer-self in customer evaluation. We further propose a research framework with four antecedent groups and outcomes.

Our research supports managers by highlighting the type of authenticity prioritized in each touchpoint's development.

To answer the call from interactive marketing researchers, this research highlights the distinct definitions of authenticity at various digital touchpoints rather than looking at the overall brand. Trends, gaps and future research agenda of the authenticity concept in technology adoption and customer behavior are discussed.

Prior research highlights the extent to which consumers largely appreciate the possibility to choose among different digital touchpoints during the in-store experience, which results in a pervasive introduction of digital touchpoints as the first point of contact between retailers and consumers. However, consumers also give value to the human interactions in the service channels. The previous studies do not conclusively indicate the best balance of digital and human services. The purpose of this paper is to understand consumer-facing in-store services in new technology-enriched retail settings.

A qualitative approach involving face-to-face semi structured interviews was applied. To this end, the authors recruited 26 participants in Northern Italy between October and November 2017.

Results reveal motivations, preferences and discouraging factors leading consumers’ interactions with digital or human touchpoints. Findings ultimately provide useful guidelines to managers on understanding consumers’ attitudes toward digital vs human touchpoints phenomenon.

By identifying the key drivers of either digital and human touchpoints selection in offline retail settings, the present study figured out the attributes playing the crucial role in determining consumers’ preference regarding the in-store alternatives. Findings allow a further greater clarification of the practical issues, with emphasis on the new of human–machine integration.

This study aims to gain a clearer understanding of digital channel design. The emergence of new technologies has revolutionised the way companies interact and engage with customers. The driver for this research was the suggestion that practitioners feel they do not possess the skills to understand and exploit new digital channel opportunities. To gain a clearer understanding of digital channel design, this paper addresses the research question: What digital channels do companies from a wide range of industries and sectors use?

A content analysis of 100 international companies was conducted with multiple data sources to form a typology of digital “touchpoints”. The appropriateness of a digital channel typology for this study was for developing rigorous and useful concepts for clarifying and refining the meaning of digital channels.

This study identifies what digital channels companies globally currently employ and explores the related needs across industries. A total of 34 digital touchpoints and 4 typologies of digital channels were identified across 16 industries. This research helps to identify the relationship between digital channels and enabling the connections with industry.

The findings contribute to the growing research area of digital channels. The typology of digital channels is a useful starting point for developing a systematic, theory-based study for enabling the development of broader, comprehensive theories of digital channels.

Typologies and touchpoints are outlined in relation to industry, company objectives and customer needs to allow businesses to seize opportunities and optimise performance through individual touchpoints. A digital channel model as a key outcome of this research guides practitioners on what touchpoint to implement through an interrelated understanding of industry, company and customer needs.

This is the first paper to explore a range of industries in relation to their use of digital channels using a unique content analysis. Contributions include clarifying and refining digital channel meaning; identifying and refining the hierarchical relations among digital channels (typologies); and establishing typology and industry relationship model.

Consumers have increased access to digital health tools such as social media, websites and marketer-controlled platforms for information sharing. Telemedicine (TM) represents an emerging omni-channel touchpoint for consumers to exchange information and inform health decision-making at a time and place of their choosing. While TM offers great potential, consumer adoption has been slower than expected. This paper aims to investigate attitudinal factors that influence adoption and usage of TM within consumers’ omni-channel decision-making environment.

Surveys from 869 patients were analyzed using multiple linear regression to examine the relationships between health decision-making, TM access benefits and omni-channel touchpoints (social media, website and internal health digital channels usage) on TM usage likelihood.

Attitudinal constructs related to TM’s benefits including access and health decision-making have the strongest impact on future TM usage. The study also empirically demonstrates a link between consumers’ omni-channel information seeking and TM usage.

Increasing consumers’ involvement across omni-channel touchpoints has an additive effect on perceived benefits for engaging consumers in using digital offerings like TM. Future research is needed that examines the interrelationships on consumers’ health decision-making across generational cohorts and the post-adoption effects of digital service offerings.

Omni-channel touchpoints such as TM provide new opportunities to enhance shared decision-making. However, marketers need to adopt strategies that accommodate consumers’ evolving omni-channel preferences for access and information exchange to synergize digital service offerings with interpersonal touchpoints.

This study integrates shared decision-making, technology acceptance and omni-channel marketing literature to explore TM acceptance and usage within the context of consumers’ omni-channel decision process.

In recent decades, customer experiences (CXs) have gained considerable attention from both academics and service industries. However, the role of digital technologies in CXs is largely ignored. This study aims to explore the manners of digital experience (DX) and to leverage these manners for service design.

A total of 2,178 journal articles published as of January 2022 were collected from nine high-impact service journals. Social network analysis and cluster analysis were used to analyze 5,289 keywords and 22,645 edges.

Four DX manners (utility, sociability, informativeness and arousal) are identified from the keywords of the qualifying articles.

A digital experience service model is developed based on the concept of CX and DX manners. Academic and managerial contributions are discussed.

This paper aims to provide a systematic review of omni-channel marketing (OCM) literature and explore how it relates to business-to-business (B2B) marketing campaign development in the digital era. OCM’s evolution is tracked, exposing the areas in which research is most prevalent while also recognising knowledge gaps. Informed by these literature insights, the changing B2B channel dynamics that present within a digital era customer journey are appraised. An OCM model for B2B marketing campaign development is produced and avenues to further research are presented.

This paper uses a systematic approach to explore OCM literature. This review informs an OCM model for B2B marketing campaign development to help advance conceptualisation of OCM B2B customer engagement as an emerging phenomena in the digital era.

With just 21 papers identified, OCM is assumed to fit the criteria of an emerging concept as proposed in previous research studies. The proposed model presents the changing B2B omni-channel dynamics that can be used to create B2B OCM strategies, incorporating the myriad of B2B customer channels and touchpoints currently fabricating the modern B2B marketing terrain.

Conceptual in nature, there is a need for more empirical research to fully comprehend the emerging OCM landscape and how it relates to B2B customer dynamics.

This research provides much-needed conceptualisation of data capture and management strategies for B2B marketing campaign development across the omni-channel in the digital era. While systematic literature reviews exist within the OCM realm, none have charted the current OCM literature.

The purpose of this study is to understand customer experience (CX) in business-to-business (B2B) markets through the perspectives of buyer–seller dyads. This study aims to evaluate how customer journey, touchpoints and digital and social media (DSM) influence CX and offer avenues for sellers to align their efforts with buyers’ requirements to create and manage CX.

Integrating insights of practicing buyers and sellers in the pharmaceutical B2B industry, this study follows the phenomenological approach to understand their experience through their perspectives on the customer journey, touchpoints and DSM.

The findings of this study include convergence in the perspectives in journey stages, journey enablers, stakeholder involvement, touchpoint preference and DSM’s use. The study findings also include divergence in perspectives in the senior management engagement, journey enablers, selling center involvement, DSM purpose and usage of DSM platforms. These offer opportunities for sellers to align with buyer journey, touchpoints and DSM to create and manage CX.

Sellers in pharmaceutical B2B markets have been dependent on traditional knowledge to influence customer journey and touchpoints and the advent of DSM has enhanced the challenge. To avoid this confusion, sellers need to have clarity of customers’ expectations on the journey, touchpoints and DSM. This enables sellers to allocate their resources better to achieve the desired outcome in CX.

This first-of-its-kind study captured the convergence and divergence perspectives of pharmaceutical B2B buyer–seller dyads from the lens of the uncertainty reduction theory and social penetration theory. The study suggests opportunities for pharmaceutical sellers to create and manage CX.

The purpose of this paper is to identify patterns of medium preference for loyalty programs (LPs) among members to support the case for segmenting customers based on their medium preference.

A survey of nearly 2,000 customers who are enrolled in at least one supermarket LP was employed. LP members are segmented based on a latent class clustering model and then profiled in terms of socio-demographic variables by means of a multinomial logit regression model.

Medium preference is heterogeneous and differs at the customer segment and at the LP touchpoint level. Five segments emerge which display different medium preference patterns. LP medium preference is associated with age, gender, affluency and number of different LPs the customer is enrolled in.

Retailers, e-tailers and brands can benefit from this customer segmentation when faced with the challenges of adding online features or migrating their LPs online. Marketers should differentiate their investment in online and offline LP touchpoints according to the medium preference for each LP touchpoint of the customer segments of interest.

Retailers, e-tailers and brands are today introducing online marketing strategies and tactics, such as LPs, that have been traditionally used offline. So far, however, they have failed to answer the question whether online and offline LPs and related touchpoints have the same preference among consumers. Literature on LPs has not explored customer preference for the LP medium or the consumer characteristics related to medium preference. This work is unique in providing an overview of medium preference for LPs and their touchpoints.

Digital technology is revolutionizing insurance distribution allowing the insurer companies to reach customers via multichannel. The aim of this study is to segment potential customers of life insurance based on their information search, purchasing channels and personal characteristics in the digital environment.

The study uses cross-sectional research survey. In total, 422 questionnaires were collected through a convenience sample of the Romanian population. The data was segmented based on consumer information touchpoints (online vs offline), purchase channel preference (offline by a professional vs online by a standardized platform) and personal characteristics (age, marital status and children).

The channel segmentation analysis revealed that information channel preferences are the most important clustering variables, followed by purchase channel preferences, marital status, having children and age. Four distinct segments were identified: young fully offliners (23.7%), mature fully offliners (31.5%), committed online searchers (23.2%) and cross-channel onliners (21.6%).

Insurance companies should adapt their communication and distribution strategy based on multichannel segmentation and should focus on digital touchpoints with costumers.

Firstly, the paper reveals multichannel and hybrid segmentation for life insurance. Secondly, it extends the already studied retail channels with search engines and companies' websites. Thirdly, it extends the behavioural variables for channel segmentation with technology acceptance behaviour, attitude towards life insurance, knowledge about life insurance, attitude towards personal selling and quality appraisal of online information sources.