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The purpose of this study/paper is conducting a Systematic mapping review, as a systematic literature review method for reviewing the literature of new product development by textmining and mapping the results of this review.

This research has been conducted with the aim of systematically reviewing the literature on the field of design and development of products based on textual data. This research wants to know, how text data and text mining methods, can use for the design and development of new products.

This review finds out what are the most popular algorithms in this field? What are the most popular areas in using these approaches? What types of data are used in this area? What software is used in this regard? And what are the research gaps in this area?

The contribution of this review is creating a macro and comprehensive map for research in this field of study from various aspects and identifying the pros and cons of this field of study by systematic mapping review.

The growing volume of consumer transactions in used products markets has given rise to strategic decisions made by sellers in the amount of information disclosed on usage‐based attributes – product attributes that quantify the degree by which a product has been used. This paper seeks to address this issue. Based on the phenomenon referred to as the dilution effect, it is proposed that sellers would have less desire to disclose usage‐based attribute information in product advertisements for older products. The effects of usage‐based attributes on asking prices of used products are also examined and profiled across time and contrasted across three countries: Britain, Canada, and the USA.

Used product advertisements were obtained for 1995 (USA) and 2010 (USA, Canada, and Britain). The ratio of ad content dedicated to usage‐based attributes was then computed and profiled across various conditions, and variations were tested using statistical methods.

The results indicate that a dilution‐based strategy, whereby usage‐based product information is less likely to be disclosed for older products, was evident in 1995 as it was in 2010. Furthermore, cross‐country variations were observed in the use of this strategy.

The research presented can be expanded to cover other product categories where used products are exchanged and usage‐based attributes constitute a fundamental consumer consideration in such exchanges. The research can also be extended to cover a wider range of countries for analysis.

This paper extends traditional pricing theory to consider the effects of usage‐based attributes on used product prices and associated consumer communications. Given the growth in the volume of consumer transactions in used product markets, this line of inquiry is relevant not only from an academic perspective but can also inform public policy and potential regulatory measures.

In this paper, the authors aim to investigate the relationship between buyback policy and the potential number of used products that could be collected by developing a robust fuzzy reverse logistics network.

In this approach, the authors seek to determine the amount of buyback based on the condition of used products at the time of return. In this process, the authors also take into account that apart from the condition of used products, other factors exist that the actual return rate could be dependent on them. This matter propelled us to make a novel distinction between the probability of return estimated from appropriate buybacks offered to consumers, and the actual return rate of used products using fuzzy mathematical methods. Besides that, a compatible robust fuzzy optimization method has been implemented on the model to deal with uncertain properties of it and simultaneously fortifying its responses against any possible effect of return rate fluctuation.

To analyze and evaluate the model performance, the authors decided to apply a series of exhaustive randomly generated experiments onto it. Also, the authors introduced a Lagrangian relaxation solution methodology to facilitate and improve the solving process of the model. Then, the evaluation of the results enabled us to demonstrate the model validity, and underscore its utility to deal with problems with more sophisticated used product collection process that practitioners tend to encounter in the real-world circumstances.

This study suggests a novel way to design the return rate of used products in a reverse logistics network with buyback offers through a complete set of factors affecting it. Furthermore, the procedure of developing the model encompasses several important aspects that significantly decrease its complexity and improve its applicability.

This research aims to represent an initial exploration of how partitioned pricing influences consumers’ purchase decisions of new versus used products from the theoretical perspectives of prospect theory and gain/loss decision frames.

Four experiments to test the hypotheses with multiple product categories have been conducted.

Results from a series of experimental studies find that consumers prefer partitioned pricing over all-inclusive pricing for new products, whereas all-inclusive pricing is more preferred for used products. In addition, the authors demonstrate that a high-quality brand can reverse this effect for used products; specifically, consumers prefer partitioned pricing over all-inclusive pricing for a used product with a high-quality brand.

This research contributes to the literature on second-hand consumption by examining the impact of pricing strategies on consumer purchase decisions of new versus used products. This study deepens our understanding of consumer decision-making for new versus used products and it provides implications for bolstering sustainable consumption.

The purpose of this paper is to investigate and comment on the factors used by Australian students to select their bank and the products and services they utilise, based on responses to an online questionnaire.

A mixed-methods approach, incorporating both qualitative and quantitative methods, was used to investigate this research issue. Convenience sampling resulted in 276 completed online responses. Mean ranking and factor analysis methods were employed to identify the key factors used in selecting a bank and frequency analysis used to examine the products and services utilised by students.

The key factors used by students to select a bank in Australia were bank competence, recommendations and outside influences, bank costs, returns and services, and finally location. The main bank products and services used by students were automated teller machines (ATMs), savings accounts, internet and telephone banking, and debit cards.

The use of an online survey which limits the pool of respondents to internet users and, the sample size limits generalisability of the findings.

Banks can better target and understand the key determinants used by students in selecting a bank and the products and services this group values. This will allow Australian banks to develop programs to better attract and retain student customers.

Provides insight to and understanding of the determinants used by students to select their bank and the products and services they utilise. Furthermore, this study fills a gap in the literature by focusing on the banking behaviour of Australian students, an important segment of bank customers previously under-researched.

Preface The functions of business divide into several areas and the general focus of this book is on one of the most important although least understood of these—DISTRIBUTION. The particular focus is on reviewing current practice in distribution costing and on attempting to push the frontiers back a little by suggesting some new approaches to overcome previously defined shortcomings.

To achieve a full understanding of the role of marketing from plan to profit requires a knowledge of the basic building blocks. This textbook introduces the key concepts in the art or science of marketing to practising managers. Understanding your customers and consumers, the 4 Ps (Product, Place, Price and Promotion) provides the basic tools for effective marketing. Deploying your resources and informing your managerial decision making is dealt with in Unit VII introducing marketing intelligence, competition, budgeting and organisational issues. The logical conclusion of this effort is achieving sales and the particular techniques involved are explored in the final section.

Properly conceived, conducted and interpreted, motivation research can be an extremely powerful management tool, designed to help the manufacturer or advertiser to sell more goods. Its aim is to expose the market situation, explain it and suggest courses of action which will lead to desired changes. It is a way of looking at a problem rather than a collection of specialist techniques and is strictly practical. Hence it can be used alongside other market research tools for the solution of marketing problems and can be applied to a wide range of business activities. Much of its development has been in the advertising field but it can also help in the formulation of production policy, solving packaging problems and marketing operations. It is examined here in all these contexts. The idea of motivation research, the reasons for its use and the techniques by which to apply it are discussed, as well as the pitfalls that are likely to occur. New and imaginary case studies are used throughout to illustrate points. A review of the subject literature is included.

This paper aims to study the impact of manufacturer’s upgrading strategy of durable products on the retailer’s decision on trade-in program and her decision on the secondary market.

This paper develops a channel that consists of a manufacturer and a retailer, where the manufacturer releases an upgraded product, and the retailer introduces a trade-in program for consumers, simultaneously, decides whether to enter the secondary market. These approaches are modeled through Stackelberg game.

This paper reveals that the optimal conditions for manufacturer to release upgraded products and retailer to resell used products in the secondary market, and it reveals that under what conditions it is profitable for retailer to enter the secondary market under product upgrade levels.

If the manufacturer’s upgrade level is low, it is profitable for the retailer to enter the secondary market. However, if the manufacturer’s upgrade level is high, it is unprofitable for the retailer to enter the secondary market.

In this paper, the active secondary market, upgrading of new products, consumer market segmentation and especially, the upgrade degree of new products as a function of consumer demand are considered simultaneously.

This study aims to determine the number of segments of green consumer behavior on toiletries products, and the tendency of transition between clusters is estimated. This study also provides recommendations based on the results.

This study used primary data collected through an online and offline questionnaire. The questionnaire was intended to identify the socio-demographic characteristics, green consumer behavior state according to the environment as well as the willingness of the respondents to purchase various toiletries products (current, less green, and greener). Prior to segmenting green consumer behavior, scale purification using confirmatory factor analysis was performed to ensure the indicators used were valid. The k-means clustering algorithm was used for the segmentation, while discriminant analysis was used to validate the segmentation result. The Markov chain approach was performed to estimate the tendency of the transition between constructed segments, where the logistic regression model was applied to predict the individual transition probability.

The clustering algorithm resulted in three segments: light green, green and dark green. The light green segment has the lowest attitude toward the environmental criteria while the members of the dark green segment have the highest attitude among the other segments. The logistic regression indicated that the tendency of individuals to stay in the current segment or move to the adjacent segment was influenced by socio-demographic factors. The one-step transition probability matrix revealed that the tendency of a particular segment to move to the greener segment was greater than to stay or even move to the less green segment. The Markov chain approach then showed that the steady-state condition will emerge after 18 steps.

This study was limited geographically and by the criteria used for segmenting the green consumer behavior; therefore, it is recommended that this study be replicated on a greater scale with more criteria. A wider geographic area could be considered, including a national study, and more criteria, such as social influences, could be considered. This study does not focus on specific toiletries products. Selecting more specific toiletries products could be considered to provide a more reliable response from the respondents. Moreover, factors around the willingness to pay for green products were not investigated in greater detail although these factors might become indicators that can distinguish between two or more segments.

This study empirically supports the theory that consumer environmentally friendly behavior can be used to appropriately categorize consumers into several segments, and thereby guide the development of a more differentiated policy approach for business and government.

Green consumer behavior may help save the environment and it will be beneficial in reducing environmental damage.

The study extends the existing literature related to green consumer behavior by segmenting the green consumer behavior based on the environmental criteria and applying the Markov chain approach to estimate the tendency of transition between segments.