50 research outputs found

    Getting in with the “In” crowd: how to put marketing back on the CEO’s agenda

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    Purpose – Despite efforts by researchers and managers to better link marketing activities with business financial outcomes, there is general agreement that by and large chief marketing officers (CMOs) (and marketing in general) have lost strategic decision-making influence within organizations. The purpose of this paper is to understand the causes of this decline and offer recommended solutions to counteract this trend. Design/methodology/approach – In-depth interviews lasting between 40 and 55 minutes were conducted with 25 chief executive officers (CEOs) of service companies located in Western Europe, North America, and Australia. In total, 13 difference countries were represented. Using Emerging Consensus Technique, we identified four main themes, which cause the goals of CEOs and those of CMOs/marketing to diverge. Findings – The primary cause of the decline of strategic influence of CMOs and marketing overall with CEOs is a function of four key issues: first, the role of the CMO (e.g. task overload, focus on tactical issues, “outdated” skill set); second, lack of financial accountability (e.g. the inability to connect marketing efforts to financial returns); third, digital and social media (e.g. a perceived obsession with new technology); and forth, lack of strategic vision and impact (e.g. lost sight of “core” job, use of irrelevant metrics). Practical implications – The findings indicate that CMOs must address the four key issues uncovered for marketing to attain/regain a role in strategic decision making. A proposed roadmap for putting marketing back on the CEOs agenda is presented to guide CMOs. Originality/value – This research provides marketers with a CEO eye view of their role within organizations

    Customer Experience Driven Business Model Innovation

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    Business model innovation (BMI) is critical to a firm's ability to achieve growth and long-term viability. It helps improve the value of products or services and/or delivery of these offerings to customers. Much of the academic literature to date however lacks customer-driven business model innovation frameworks. As such, the aim of this investigation is to propose a customer experience driven (CX) business model innovation framework that aligns customer values and the firm's strategic needs. This paper contributes to the literature by (a) conceptualizing the way in which business model innovation and customer experience are related (b) providing managers with a concrete framework to guide business model innovation that supports customer experience-driven new services and (c) highlighting opportunities for future research to advance business model innovation research and practice

    Linking Brand Equity to Customer Equity

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    equity and brand equity are two of the most important topics to academic researchers and practition-ers. As part of the 2005 Thought Leaders Conference held at the University of Connecticut, the authors were asked to review what was known and not known about the relationship between brand equity and customer equity. During their discussions, it became clear that whereas two distinct research streams have emerged and there are distinct differences, the concepts are also highly related. It also became clear that whereas the focus of both brand equity and customer equity research has been on the end consumer, there is a need for research to understand the intermediary’s perspective (e.g., the value of the brand to the retailer and the value of a customer to a retailer) and the consumer’s perspective (e.g., the value of the brand versus the value of the retailer). This article represents general conclusions from the authors ’ discussion and suggests a modeling approach that could be used to investigate linkages between brand equity and customer equity as well as a modeling approach to determine the value of the manufacturer to a retailer

    Service marketing

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    Does satisfaction matter more if a multichannel customer is also a multicompany customer?

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    Purpose - This research aims to investigate the moderating influence of both multichannel and multicompany usage on the impact that customer satisfaction has on share of wallet (SOW). Design/methodology/approach - The data used in the analyses were collected as part of both survey and transactional data of 802 households of a large financial services provider. Within class regression models were employed to test the moderating effects of different segments that were identified based on multichannel-multicompany customer differences. Findings - The findings confirm that using multiple channels has an overall positive moderating impact on the satisfaction-SOW link and that customer satisfaction matters more when the customer adopts multiple channels; online channel usage in addition to offline usage. Furthermore, this effect is even more pronounced for customers that transact with multiple providers. That is, the group of customers that use both the company's and competitors' offline and online channels reveal a higher satisfaction-SOW association than the group of customers that only adopted the offline channel with the company and competitor. Originality/value - This study broadens the understanding of multichannel behavior by comparing single (offline) and multiple channels (offline and online) for customers of multiple companies (two competitors)

    —Net Promoter, Recommendations, and Business Performance: A Clarification on Morgan and Rego

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    One of the most controversial findings in Morgan and Rego (2006) was that two widely advocated loyalty metrics, “Net Promoter” and “Number of Recommendations,” have little or no value in predicting the financial outcomes of firms. We argue that neither measure was actually examined and that conclusions about the predictive value of these measures cannot be drawn from their analysis. A primary problem is that the measures used in Morgan and Rego (2006) do not adequately adjust for the presence of neutral word-of-mouth activity. Nevertheless, Morgan and Rego (2006) provide important information regarding other common customer metrics and firm financial outcomes. We are unaware of another longitudinal study that examines the predictive value of satisfaction and loyalty metrics in such a comprehensive way.Net Promoter, word-of-mouth, recommendations, financial performance, intentions, customer satisfaction, customer loyalty

    Bridging the Data-Divide Between Practitioners and Academics: Approaches to Collaborating Better to Leverage Each Other's Resources

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    Purpose:Organizations (data gatherers in our context) drown in data while at the same time seeking managerially relevant insights. Academics (data hunters) have to deal with decreasing respondent participation and escalating costs of data collection while at the same time seeking to increase the managerial relevance of their research. We provide a framework on which managers and academics can collaborate better to leverage each other’s resources. Design/methodology/approachThis research synthesizes the academic and managerial literature on the realities and priorities of practitioners and academics with regard to data. Based on the literature, reflections from the world’s leading service research centers, and the authors’ own experiences, we develop recommendations on how to collaborate in research. FindingsFour dimensions of different data realities and priorities were identified: research problem, research resources, research process, and research outcome. In total, 26 recommendations are presented that aim to equip academics to leverage the potential of corporate data for research purposes and to help managers to leverage research results for their business. Research limitations/implications:This article argues that both practitioners and academics have a lot to gain from collaborating by exchanging corporate data for scientific approaches and insights. However, the gap between different realities and priorities needs to be bridged when doing so. The article first identifies data realities and priorities and then develops recommendations on how to best collaborate given these differences. Practical implicationsThis research has the potential to contribute to managerial practice by informing academics on how to better collaborate with the managerial world and thereby facilitate collaboration and the dissemination of academic research for the benefit of both parties. Originality/value:Whereas previous literature has primarily examined practitioner–academic collaboration in general, this study is the first to focus specifically on the aspects related to sharing corporate data and to elaborate on academic and corporate objectives with regard to data and insights.</p
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