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Discusses a conceptual framework of perceived risk consolidating and interrelating the numerous theories and research results. Adumbrates the measurement of perceived risk, consumer risk handling, risk reduction methods and consumer preference for risk reduction methods. Posits that although the area of consumer behaviour as a risk‐taking function has been extensively researched since 1960, there are many aspects needing further investigations. States that research into levels of risk between different product classes is necessary. Sums up that the concept of perceived risk may have been extensively investigated, considerable opportunity exists for further refinement and meaningful study.

This paper aims to develop a parsimonious and innovative model that captures the dynamics of new product diffusion in the recent high-technology markets and thus assist both academicians and practitioners who are eager to understand the diffusion phenomena. Accordingly, this study develops a novel diffusion model to forecast the demand by centering on the dynamic state of the product’s adoption rate. The proposed study also integrates the consumer’s psychological point of view on price change and goodwill of the innovation in the diffusion process.

In this study, a two-dimensional distribution function has been derived using Cobb–Douglas’s production function to combine the effect of price change and continuation time (goodwill) of the technology in the market. Focused on the realistic scenario of sales growth, the model also assimilates the time-to-time variation in the adoption rate (hazard rate) of the innovation owing to companies changing marketing and pricing strategies. The time-instance upon which the adoption rate alters is termed as change-point.

For validation purpose, the developed model is fitted on the actual sales and price data set of dynamic random access memory (DRAM) semiconductors, liquid crystal display (LCD) monitors and room air-conditioners using non-linear least squares estimation procedure. The results indicate that the proposed model has better forecasting efficiency than the conventional diffusion models.

The developed model is intrinsically restricted to a single generation diffusion process. However, technological innovations appear in generations. Therefore, this study also yields additional plausible directions for future analysis by extending the diffusion process in a multi-generational environment.

This study aims to assist marketing managers in determining the long-term performance of the technology innovation and examine the influence of fluctuating price on product demand. Besides, it also incorporates the dynamic tendency of adoption rate in modeling the diffusion process of technological innovations. This will support the managers in understanding the practical implications of different marketing and promotional strategies on the adoption rate.

This is the first attempt to study the value-based diffusion model that includes key interactions between goodwill of the innovation, price dynamics and change-point for anticipating the sales behavior of technological products.

It is important to remain creative when conducting segmentation research, as many different ways to segment a market can exist. Five main bases are discussed: geographic, demographic, psychographic, behaviouristic and image. This is followed by an overview of the main techniques used to establish and verify segments, including automatic interaction detector, conjoint analysis, multidimensional scaling and canonical analysis.

The purpose of this research is to review empirical research on customer involvement in innovation and identify future research directions that can better connect this research with marketing strategy literatures and offer opportunities for further theoretical development.

We conduct a review of empirical articles published in eight leading marketing and innovation journals between 2001 and 2017.

The review shows that the literature on customer involvement in innovation is highly diverse and fragmented, lacking a common understanding of what constitutes customer involvement in innovation and its theoretical underpinnings. There exists a multitude of conceptualizations of customer involvement in innovation, which limits effective accumulation of domain knowledge. A large number of studies have taken the customer’s perspective to examine their motivation to participate and ability to contribute, whereas less research has been done from the firm’s perspective to understand how firms may effectively manage the well-recognized challenges of customer involvement as well as the implications of customer involvement for long-term innovation strategy and overall performance. Based on the review, we offer recommendations for future research.

We identify important questions for future research that are highly relevant for the practice of customer involvement in innovation.

We provide a systematic review of the rapidly growing empirical research on customer involvement in innovation. We evaluate key points of differences in the literature and offer a synthesis that helps identify opportunities for future research.

The aim of this study is to examine how knowledge-intensive born global firms operating in international markets develop and maintain long-term relationships with their customers that insure their continued growth beyond the initial stage of internationalization. The study adopts a case study approach, focusing on two Indian born global firms operating with the knowledge-based services sector. The study shows that getting to know the customer intimately helps firms to retain customers over long periods of time. Customer-relationship management strategy is in line with the entrepreneurial orientation of the firms under consideration.

Firms with market foresight – knowledge of market changes ahead of competitors – can convert that knowledge into creative and timely new product offerings. Based on a discovery-oriented process, working closely with managers throughout the research process, we develop and test a framework delineating market information determinants and new product outcomes of market foresight.

Using data collected primarily from senior executives of industrial manufacturers, the hypotheses were tested using partial least squares.

The results indicate that external (active scanning, lead user collaboration, and market experiments) and internal sources (boundary spanner input and interdepartmental connectedness) of market information positively affect market foresight. Further, the effects of active scanning, market experiments, and interdepartmental connectedness on market foresight are positively moderated by the organization’s open-mindedness. These findings also provide evidence that firms with superior market foresight develop more creative products, introduce them to the market faster, and introduce them at a more opportune time.

Our findings demonstrate that managers’ knowledge of market changes ahead of competitors is enhanced through acquiring both external and internal sources of market information. Furthermore, market foresight is significantly enhanced by managers being open-minded to the information gained from these sources as it may challenge long-held assumptions.

This chapter introduces a new construct, market foresight capability, to the literature that will aid managers in developing greater insight into emerging shifts in the market. For researchers, this new line of inquiry expands our understanding as to the critical sources and new product outcomes of obtaining future-focused market information.

Regardless of its relevance for economic development, the influence of strategic orientation by innovation orientation, and strategic marketing by marketing capability on firm performance, this interesting study focused on firms with strategic industries (defense and security) in Indonesia. It approached the gap in three ways. Initially, the examination was conducted on the role of innovation orientation, marketing capability, the interaction of innovation orientation and marketing capability on firm performance. The next step was considering the contribution of state-owned enterprise (SOE) and non-SOE. Finally, this relationship was studied in strategic industries of firms in Indonesia. The firm performance in this study, which we chose, was operational performance. The proposed conceptual model would be tested by distributing questionnaires to 41 firms in Indonesia. This study gave insight into the matters, which should be the companies’ focus, to improve their operations’ performance. By using PLS-based structural equation modeling (SEM) analysis, the results of the relationship between innovation orientation, marketing capability, and the interaction between innovation orientation and marketing capability on operational performance were identified. The findings could be clarified via the variations in the characteristics of enterprises (SOE and non-SOE). Moreover, there were clear variations in the findings, which were recognized among the firms’ relatively different characteristics. The main finding was a challenge to generalize the relationship from strategic orientation and strategic marketing to performance. The results of firm characteristics also had considerable managerial relevance. The authors recommend strategic industries (defense and security) in Indonesia in achieving operational performance excellence. Management’s importance is paying attention to the relationship between innovation orientation, marketing capability, and dynamic capability in running a company organization.

The proliferation of various interpretations of the marketing concept suggests a lack of unanimity as to its meaning. This article outlines five definitional “schools” of the marketing concept.

The effect of customers’ forward-looking behavior on firms’ profit has been highlighted by many researchers and practitioners. This study aims to develop a mathematical model for new generation products to analyze the optimal pricing and advertising policies in the presence of homogeneous forward-looking customers. A firm that produces and sells a new generation product was considered. This firm aimed to determine the optimal pricing and advertising expenditure by maximizing the total profit.

The demand was presented as a diffusion model inspired by the Bass diffusion model. This paper used Pontryagin’s maximum principle to analyze the proposed model. The presented model was implemented in some numerical examples by proposing a heuristic solution method. Numerical examples confirmed the theoretical results.

This paper found a threshold on the optimal advertising policy depends on customers’ forward-looking behavior, advertising coefficient (both direct and word-of-mouth advertising) and discount rate. The funding showed that the optimal pricing path of the first generation was monotonically decreasing or increasing and, then, decreasing. Results revealed that, by increasing the customers’ forward-looking behavior, the firm should reduce the price and advertising expenditure. Also, the price was shown to be negatively affected by the discount rate and word-of-mouth advertising. The profitability will improve if the firm spends more budget on advertising by increasing the discount rate and advertising effectiveness. Further, when the word-of-mouth advertising effect is high, the firm should increase the advertising expenditure first and, then, decrease it.

Nowadays, forward-looking customers’ anticipation for releasing a new generation can harm the firms’ profit. In this regard, this research analyzed optimal pricing and advertising policies for a new generation product in a market populated by homogeneous forward-looking customers. To the best of the knowledge, this is the first study that investigated these two marketing policies jointly in the presence of forward-looking customers.