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1 – 10 of over 1000Junyun Liao, Wei Wang, Peng Du and Raffaele Filieri
This paper aims to explore whether or not and how brand community supportive climates (information- versus emotion-supportive climates) have an impact on consumer-to-consumer…
Abstract
Purpose
This paper aims to explore whether or not and how brand community supportive climates (information- versus emotion-supportive climates) have an impact on consumer-to-consumer helping behavior.
Design/methodology/approach
A survey of users of cell phone brand communities was conducted, and data from 413 participants were used to validate the hypotheses of this study.
Findings
Results indicated that emotion- and information-supportive climates enhance consumer-to-consumer helping behavior through consumer–community relationships (i.e. brand community identification and brand community commitment).
Research limitations/implications
To enhance the external validity of this research, future studies could investigate other settings (e.g. social media-based brand communities and brands of other product types) in countries with different religious beliefs.
Practical implications
Marketers should create an environment where consumers feel informationally and emotionally supported within the brand community, thereby enabling the former to enhance their relationships with their brand communities and ultimately increase consumers' helping behavior.
Originality/value
By dividing the supportive climate into two parts, the current study enriched the literature on community climate. Moreover, the authors complemented and expanded the literature on consumer helping behavior.
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Dung Le, Tuyet-Mai Nguyen, Sara Quach, Park Thaichon and Vanessa Ratten
New information and communication technologies have transformed the ways businesses communicate and maintain relationships with their customers. In this chapter, we review the…
Abstract
New information and communication technologies have transformed the ways businesses communicate and maintain relationships with their customers. In this chapter, we review the main topics in academic research pertaining to digital marketing and relationship perspectives. The discussion involves email and website marketing, search engine marketing, user-generated content, co-creation marketing, social media marketing, prosumption marketing in the sharing economy, immersive marketing and AI-based marketing. On this basis, the chapter proposes some future research directions including influencer marketing, live streaming, social service enhancement and the dark side of social media marketing, consumer-to-consumer interactions on two-sided platforms, psychological mechanisms related to the use of mixed realities, and the experience of AI-enabled service automation and relevant ethical issues. Furthermore, emerging technologies such as the Internet of things (IoT) and blockchain are expected to be the next breakthrough in marketing, which warrant further research to examine their impact on the customer-firm relationship. It is suggested the researchers could focus on the adoption and application of blockchain technology, participative marketing via IoT, as well as the privacy and data protection issues related to these technologies. This chapter provides a comprehensive picture of the connection between digital marketing and relationship marketing in academic research.
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Manfred Bruhn, Verena Schoenmueller and Daniela B. Schäfer
The purpose of this paper is to investigate the relative impact of brand communication on brand equity through social media as compared to traditional media. In a juxtaposition of…
Abstract
Purpose
The purpose of this paper is to investigate the relative impact of brand communication on brand equity through social media as compared to traditional media. In a juxtaposition of different industries it aims at: investigating whether both communication instruments have an impact on consumer‐based brand equity; comparing the effect sizes of these two communication instruments; and separating the effects of firm‐created and user‐generated social media communication.
Design/methodology/approach
A total of 393 data sets from three different industries, namely tourism, telecommunications, and pharmaceuticals, were generated using a standardized online‐survey. Structural equation modeling was used in the analysis of the data obtained to investigate the interplay of social media and traditional media in general, as well as in an examination of industry‐specific differences.
Findings
The results of the empirical study show that both traditional communications and social media communications have a significant impact on brand equity. While traditional media has a stronger impact on brand awareness, social media communications strongly influence brand image. Firm‐created social media communication is shown to have an important impact on functional brand image, while user‐generated social media communication exerts a major influence on hedonic brand image. Furthermore, the present study highlights significant differences between the industries under investigation.
Originality/value
The research described in this paper is pioneering in that it juxtaposes the impacts of social media and traditional media on brand equity – a topic of increasing interest to firms in the era of Facebook and Twitter but so far largely uninvestigated. Moreover, the differentiation between firm‐created and user‐generated social media communication, which is gaining increasingly in importance, as companies see their brand marketing power devolve to the consumer through social media platforms, offers valuable insights to marketing practitioners and academics.
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Eman Abo ElHamd, Hamed Shamma, Mohamed Saleh and Ehab Elkhodary
The purpose of this paper is to close the gap between the theoretical nature of existing contributions in customer engagement value (CEV) and its need to practically empower…
Abstract
Purpose
The purpose of this paper is to close the gap between the theoretical nature of existing contributions in customer engagement value (CEV) and its need to practically empower business decisions. This is done by proposing a framework that consists of three techniques, each of which combines the components of CEV to make it more comprehensive and applicable. The paper also reviews and analyzes the work that has been done so far in the area of CEV whether in business to business (B2B), business to consumer (B2C) or consumer to consumer (C2C) markets.
Design/methodology/approach
CEV is a comprehensive term that measures the total value of the customer through capturing his transactional and non-transactional behaviors. Hence, it is an essential term for measuring the value of the customer in direct marketing. This motivates researchers to compete in developing models to maximize CEV. Meanwhile, most of the existing models are conceptual and the majority of them lack applicability due to many reasons. First, these models relied on a linear version of the CEV model, hence double-counting the value of the customer; also they weighted the components of CEV equally, which is unrealistic. Finally, the effect of the environmental components in determining the engagement level of each customer was almost ignored. In this paper, two main contributions are presented. First, a summary and analysis of the contributions of the literature in the CEV field for different market types whether in B2C, B2B or C2C. Furthermore, three modifications are added to the existing models. The first model introduces a non-linear relationship of the components of CEV. The second model is a weighted linear model of these components. Finally, the third model adds the environmental factors to the CEV components. All the proposed models are theoretical in nature, however, these models are expected to show superiority when being applied to real data sets due to their ability to capture the complexity in the relationship between the firm and its customers in real-life situations. The proposed models are expected to attract the practitioners and other researchers and they both are encouraged to apply the proposed models on real-life data sets, test their performance, compare them against each other, to be able to apply each of them on the best suitable data set and business scenario.
Findings
Based on the review and analysis that has been done on about 87 papers, it is found that the majority of the contributions that have been done in the area of CEV are theoretical in nature, in spite of the effectiveness of CEV in empowering business decision. It is also found that few researchers proposed a set of theoretical comprehensive frameworks that combined CEV’s components together. Meanwhile, those frameworks are not practically applicable.
Research limitations/implications
Although the contribution of the proposed models expected to attract both researchers and practitioners, these are not applied to real-life case studies to prove their effectiveness.
Practical implications
The research in this paper has many industrial and managerial implications. First, it helps managers and decision takers to treat the customers as assets and cost-free resources who can work with the firm to achieve what’s both aims to (i.e. increase customer satisfaction and firm’s profitability). Second, it helps the firm to determine the total value of each customer and treat its customers accordingly. Third, it empowers the managers to do target marketing, based on grouping the customers upon their total engagement. This would save time and cost and for sure increase the profitability and customer satisfaction. Forth, the proposed models take into consideration not only the transactional behavior of the customers but also the non-transactional factors that play a significant role in formulating the relationship between the firm and its customers.
Originality/value
This is hereby to certify that the paper is original, neither the paper nor a part of it is under consideration for publication anywhere else. Also, this study has no conflicts of interest to disclose.
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Keywords
- Marketing
- Data analysis
- Decision-making
- Modeling
- Decision analysis
- Mathematical programming
- Customer relationship management (CRM)
- Customer engagement value (CEV)
- Customer lifetime value (CLV)
- Customer referral value (CRV)
- Customer influencer value (CIV)
- Customer knowledge value (CKV)
- Business to consumer (B2C)
- Business to business (B2B)
- Consumer to consumer (C2C)
This chapter presents a summary of the literature on the influence of the Internet and other digital innovations on markets, consumers, and firms. The review leads to a list of…
Abstract
This chapter presents a summary of the literature on the influence of the Internet and other digital innovations on markets, consumers, and firms. The review leads to a list of topics in need of research in the general areas of big data, online and mobile advertising, consumer search, online privacy, online reviews, social networks, platforms for online transactions, and the impact of the Internet on retail markets, including multi-channel and omni-channel retailing. We discuss the big data approaches that have been applied to problems of targeting and positioning and suggest areas for further development of these approaches. We also discuss the emerging area of mobile advertising, which can further enhance targeting. On the consumer side, the evidence indicates that the Internet has greatly lowered the costs of search and access to retailers. Much of the consumer data are transmitted to sellers, and much of the online advertising is transmitted to consumers, through platforms, such as Google. We conclude that better models of competition among these platform firms are needed and that they need to be examined for anti-trust violations. While online retailing has grown rapidly, it still has a relatively small share of retail sales. Since sellers can combine the advantages of online and offline channels, it has been common for sellers to branch into multi-channel retailing. Given the increased availability of detailed consumer data, omni-channel selling, which emphasizes strategies for the various touchpoints that lead to a transaction, is an area for further development.
Maria Petrescu, Anjala Krishen and My Bui
The purpose of this paper is to evaluate the impact of internet of everything (IoE) on marketing analytics, the benefits and challenges it presents and the implications of its…
Abstract
Purpose
The purpose of this paper is to evaluate the impact of internet of everything (IoE) on marketing analytics, the benefits and challenges it presents and the implications of its policy and legal framework.
Design/methodology/approach
Qualitative research methods are used across privacy statements and consumer social media data to determine factors of concern for business and consumers.
Findings
The qualitative analysis of privacy statements and consumer social media data unveils factors of concern that are common for businesses and consumers, such as user consent and data security, as well as problems specific to the IoE, including the use of mobile devices and various service providers. The study also shows a differentiation in the levels of information privacy concerns for marketing practice, the use of personal information, sharing information with third parties and consumer consent and agreement to critical terms.
Practical implications
Recommendations for policymakers, practitioners and researchers, especially concerning the need for more studies related to the issues of data security, information privacy and personal information are addressed.
Originality/value
There is a need to assess the potential implications that the use of marketing analytics in the IoE can have for marketing policy, governmental regulations and industry self-regulation. The purpose of this research is to perform an exploratory evaluation of the impact of IoE on marketing analytics, the benefits and challenges it presents and the implications of its policy and legal framework.
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Mark S. Rosenbaum, Mauricio Losada-Otalora and Germán Contreras-Ramirez
The purpose of this paper is to explore black market retailing, with a focus on Colombia’s San Andresitos.
Abstract
Purpose
The purpose of this paper is to explore black market retailing, with a focus on Colombia’s San Andresitos.
Design/methodology/approach
The authors use grounded theory methodology to develop a theoretical framework that explains how consumers rationalize their acceptance, rejection, or tolerance of black market retailing. The authors obtained qualitative data based on reader responses to newspaper articles on San Andresitos and used the responses as qualitative data in comparative analysis to derive a “strategy family” theoretical framework.
Findings
The framework advances rationalization techniques that consumers employ to accept, reject, or tolerate the San Andresitos.
Research limitations/implications
Colombians are divided on the legality of the San Andresitos. Although half the informants note the wrongfulness of the San Andresitos, the other half offer reasons to accept or tolerate them.
Practical implications
Legitimate (i.e. lawful) retailers operating in Colombia, or planning to enter, need to realize that local and national government officials support the San Andresitos. Colombia’s legitimate retailers must co-exist with the black market and dissuade consumers from patronizing unauthorized vendors or purchasing illicit goods.
Social implications
Colombia’s acceptance of its black markets results in consumers inadvertently supporting crime, terrorism, and even bodily harm via the San Andresitos. However, the San Andresitos enable lower-income consumers to gain access to otherwise unattainable merchandise and provide employment through lower-skilled labor.
Originality/value
This paper is one of the first to explore black markets. From a transformative service research perspective, this research reveals how consumers, retailers, and government officials participate in Colombia’s black market, and how their activities serve to harm consumer well-being.
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Manon Arcand, Sandrine PromTep, Isabelle Brun and Lova Rajaobelina
The purpose of this paper is to investigate the multidimensional concept of mobile banking service quality (security/privacy, practicity, design/aesthetics, enjoyment and…
Abstract
Purpose
The purpose of this paper is to investigate the multidimensional concept of mobile banking service quality (security/privacy, practicity, design/aesthetics, enjoyment and sociality) and the impact of the latter on the quality of the relationship (commitment, trust and satisfaction) between consumers and their primary financial institution.
Design/methodology/approach
An online survey was conducted using a sample of 375 respondents, all owners of a mobile device and all accustomed to conducting banking activities on mobile platforms. Results were analyzed using structural modeling techniques (EQS 6.1).
Findings
Findings confirm that trust significantly and positively impacts commitment/satisfaction. Mobile banking service quality dimensions also influence trust and commitment/satisfaction. Trust is associated with security/privacy and practicity (regarded as utilitarian factors), while commitment/satisfaction is driven by enjoyment and sociality (dimensions more hedonic by nature). No link is found between interface design and either trust or commitment/satisfaction.
Originality/value
This study contributes to bank marketing theory since it is the first to demonstrate how key mobile banking service quality dimensions drive customer perceptions of relationship quality. In doing so, this research extends beyond mobile adoption (short term) by addressing customer engagement with financial institutions and issues relating to relationship quality (long term). Regarding managerial implications, findings signal to marketers in the financial services industry the importance of not underestimating the power of hedonic factors (sociality and enjoyment) when developing mobile platforms. These dimensions are often overlooked in the banking industry, a sector in which consumers are believed to be mostly driven by utilitarian motives.
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