Customer‐Value Based Marketing Activities in Fast‐Growth Firms

2007 ◽  
Vol 9 (1) ◽  
pp. 67-88 ◽  
Author(s):  
Caroline Tan Swee Lin ◽  
Kosmas X. Smyrnios
2022 ◽  
pp. 137-165
Author(s):  
Umit Basaran

Advances in digital marketing technologies and the experience and value they provide to consumers have become important factors in market success. Therefore, businesses are focusing much more on the use of innovative technologies such as gamification. Gamification is the use of game design elements and mechanisms in non-game environments to increase the motivation of users to guide their behavior. Gamification elements used in marketing activities have an impact on the attitudes and behaviors of consumers towards brands, products, and services by increasing experience and value for them. Accordingly, this chapter is aimed at evaluating the gamified marketing activities from the perspective of customer value. In this context, the concepts of customer value and gamification are examined, and gamification techniques used in marketing and their effects on consumer value are evaluated. Also, the case study of Starbucks' gamified mobile application is presented from the perspective of customer value.


2016 ◽  
pp. 1362-1401
Author(s):  
Niccolò Gordini ◽  
Valerio Veglio

In the global market of today, Customer Relationship Management (CRM) plays a fundamental role in market-oriented companies to understand customer behaviors, achieve and maintain a long-term relationship with them, and maximize the customer value. Moreover, the digital revolution has made information easy and fairly inexpensive to capture. Thus, companies have stored a large amount of data about their current and potential customers. However, this data is often raw and meaningless. Within the CRM framework, Data Mining (DM) is a very popular tool for extracting useful information from this data and for predicting customer behaviors in order to make profitable marketing decisions. This research aims to demonstrate the classification decision tree as one of the main computational data mining models able to forecast accurate marketing performance within global organizations. Particular attention is paid to the identification of the best marketing activities to which firms should concentrate their future marketing investments. The criteria is based on the loss functions that confirm the accuracy of this model.


2019 ◽  
Vol 22 (2) ◽  
pp. 114-132 ◽  
Author(s):  
Sarah Diffley ◽  
Patrick McCole

Purpose Despite the rapid growth of social networking sites (SNSs), research demonstrating the marketing application of these technologies is lacking. Consequently, this paper aims to explore the impact of SNSs on hotel marketing activities. Design/methodology/approach An exploratory study was used. Adopting a key informant approach, in-depth interviews were conducted with 14 respondents in the hotel industry, who use SNSs as part of their hotel marketing efforts. Findings Networked interactions facilitated by SNSs can influence the marketing activities of hotels in many ways. This extends to deeper connections and co-creating value with customers to enhance the market offerings and promotional activities of the firm. Not all interviewees capitalised upon the capabilities offered by SNSs. Practical implications SNSs act as a key knowledge resource that can be used by practitioners to create and deliver superior customer value. However, the extent to which this is achieved depends on who is responsible for implementing it. Specifically, those with a more proactive attitude and approach towards marketing on SNSs tend to reap greater benefits. Originality/value Using the service-dominant logic as a guide, this paper offers greater insight into the theory and practice of social media marketing in the hotel industry, an under-studied and fragmented research area.


Author(s):  
Francis J Greene ◽  
Alessandro Rosiello

This commentary argues that scaling fast growth firms drive economic development, even in recessionary periods. While the coronavirus induced the ‘Great Lockdown’ and its aftermath poses particular challenges, we argue that the crisis presents the entrepreneurial scholarly community with an opportunity to re-orientate our research. Rather than more narratives of business success in the face of adversity, the Great Lockdown presents us with a fresh opportunity to examine how scaling is affected by context, by luck and by the porous nature of business growth. In so doing, our hope is that it will encourage our community to adopt a more proactive agenda to support policy makers and entrepreneurs.


2014 ◽  
Vol 52 (1) ◽  
pp. 2-17 ◽  
Author(s):  
Antonella La Rocca ◽  
Ivan Snehota

Purpose – Growing awareness that value for the customer is created in relationship between the supplier and the customer has consequences for sales and marketing functions, and businesses are increasingly experimenting with new organisational approaches and solutions. The purpose of this paper is to investigate organisational issues involved in implementing value programs in B2B firms and examine implications for managerial action. Design/methodology/approach – After a literature review on value creation in business relationships, the authors illustrate the case of a large industrial business experimenting with organisational solutions to support value-creation processes in customer relationships. Findings – The authors identify three issues management has to address in organising the customer interface: involvement of a variety of actors to access elements of effective customer-value solutions; supporting and orchestrating the interaction processes among those involved; and differentiation of the customer interface and sales approach to match the substantial differences in customer relationships. Research limitations/implications – There is a need for further, more systematic empirical studies of value-creation practices and solutions in how businesses organise the customer interface for value creation. Practical implications – Coping effectively with creating value in customer relationships implies experimenting with novel approaches and solutions in organising the sales and marketing activities as open networked sales organization and requires specific managerial capabilities. Originality/value – While creating customer value is generally believed to be positively related to the firm's performance and development, the organisational implications of focusing on creating value have been less explored. The original contribution of this work lies in zooming in on the organisational solutions to support the customer value-creation processes.


Author(s):  
Niccolò Gordini ◽  
Valerio Veglio

In the global market of today, Customer Relationship Management (CRM) plays a fundamental role in market-oriented companies to understand customer behaviors, achieve and maintain a long-term relationship with them, and maximize the customer value. Moreover, the digital revolution has made information easy and fairly inexpensive to capture. Thus, companies have stored a large amount of data about their current and potential customers. However, this data is often raw and meaningless. Within the CRM framework, Data Mining (DM) is a very popular tool for extracting useful information from this data and for predicting customer behaviors in order to make profitable marketing decisions. This research aims to demonstrate the classification decision tree as one of the main computational data mining models able to forecast accurate marketing performance within global organizations. Particular attention is paid to the identification of the best marketing activities to which firms should concentrate their future marketing investments. The criteria is based on the loss functions that confirm the accuracy of this model.


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