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Extant methods of product weakness detection usually depend on time-consuming questionnaire with high artificial involvement, so the efficiency and accuracy are not satisfied. The purpose of this paper is to propose an opinion-aware analytical framework – PRODWeakFinder – to expect to detect product weaknesses through sentiment analysis in an effective way.

PRODWeakFinder detects product weakness by considering both comparative and non-comparative evaluations in online reviews. For comparative evaluation, an aspect-oriented comparison network is built, and the authority is assessed for each node by network analysis. For non-comparative evaluation, sentiment score is calculated through sentiment analysis. The composite score of aspects is calculated by combing the two types of evaluations.

The experiments show that the comparative authority score and the non-comparative sentiment score are not highly correlated. It also shows that PRODWeakFinder outperforms the baseline methods in terms of accuracy.

Semantic-based method such as ontology are expected to be applied to identify the implicit features. Furthermore, besides PageRank, other sophisticated network algorithms such as HITS will be further employed to improve the framework.

The link-based network is more suitable for weakness detection than the weight-based network. PRODWeakFinder shows the potential on reducing overall costs of detecting product weaknesses for companies.

A quicker and more effective way would be possible for weakness detection, enabling to reduce product defects and improve product quality, and thus raising the overall social welfare.

An opinion-aware analytical framework is proposed to sentiment mining of online product reviews, which offer important implications regarding how to detect product weaknesses.

Comparative opinions widely exist in online reviews as a common way of expressing consumers’ ideas or preferences toward certain products. Such opinion-rich texts are key proxies for detecting product competitiveness. The purpose of this paper is to set up a model for competitiveness analysis by identifying comparative relations from online reviews for restaurants based on both pattern matching and machine learning.

The authors define the sub-category of comparative sentences according to Chinese linguistics. Classification rules are set up for each type of comparative relations through class sequence rule. To improve the accuracy of classification, a comparative entity dictionary is then introduced for further identifying comparative sentences. Finally, the authors collect reviews for restaurants from Dianping.com to conduct experiments for testing the proposed model.

The experiments show that the proposed method outperforms the baseline methods in terms of precision in identifying comparative sentences. On the basis of such comparison-rich sentences, product features and comparative relations are extracted for sentiment analysis, and sentimental score is assigned to each comparative relation to facilitate competitiveness analysis.

Only the explicit comparative relations are discussed, neglecting the implicit ones. Besides that, the study is grounded in the assumption that all features are homogeneous. In some cases, however, the weights to different aspects are not of the same importance to market.

On the basis of comparative relation mining, product features and comparative opinions are extracted for competitiveness analysis, which is of interest to businesses for finding weakness or strength of products, as well as to consumers for making better purchase decisions.

Comparative relation mining could be possibly applied in social media for identifying relations among users or products, and ranking users or products, as well as helping companies target and track competitors to enhance competitiveness.

The authors propose a research framework for restaurant competitiveness analysis by mining comparative relations from online consumer reviews. The results would be able to differentiate one restaurant from another in some aspects of interest to consumers, and reveal the changes in these differences over time.

To give objective guidance the market researcher needs a clear and valid conceptual model of consumer choice, a compatible quantifiable model, accurate meaningful measures and relevance to the real world.

The purpose of this paper is to propose a paradigmatic model for shared value innovation management in the supply chain. This research seeks to identify the causal conditions, strategies, contextual factors, intervening factors and the consequences of shared value innovation in the supply chain.

The approach of this research is qualitative and has been carried out in the framework of the grounded theory. Required data for the research was collected through semi-structured interviews. Coding was done in two steps and the reliability of the results of the research was confirmed by calculating the similarity index of codes by two methods.

The proposed framework is presented in the form of a paradigmatic model and demonstrates how to achieve shared value innovation through increasing adoption with customer considerations, improving communication between supply chain members, improving collaboration among supply chain members, enhancing trust among supply chain members, enhancing the commitment of the supply chain members, enhancing supply chain members’ interdependence while maintaining their independence and simultaneously reducing costs. The results of the analysis showed that the shared value innovation leads to positive consequences such as increasing competitive abilities, human development, synergy, inclusive growth and development and also the sustainability of the business situation.

Although some studies have shown the importance of value innovation in different parts of the organization and to some extent the introduction of shared value innovation, no research has been done to provide a framework or model for managing shared value innovation.

Product verification and validation are integral to quality management. Product verification means verifying the conformity between a product’s actual and planned characteristics whereas validation means determining whether and to what extent it satisfies customers’ requirements. One of the key forms of product validation is testing with a group of customers. The purpose of this paper is to introduce a graphical method of product validation based on the Kano model.

The approach is based on a proposed method for categorising requirements based on a Kano questionnaire and then applies this method for the validation of a product – a website. The proposed method is based on three steps: graphical determination of requirements in a Kano model; determination of requirement fulfilment degree and prioritisation of corrective measures and improvements.

The study opens space for discussion of the potential for improving a product and methods for identifying critical faults in products. The proposed method also permits an assessment of the potential effectiveness of an improvement because it is able to quantify the effect of the product on the consumer resulting from a given quantity of effort. A case study demonstrated that the resulting priority of corrective measures and improvements was affected not only by the level of fulfilment of the requirements but also by the type, the most critical being non-fulfilment of must-be requirements.

The requirement curves are based on a verbal assessment of satisfaction in two states – if the requirement were fulfilled and if it were not fulfilled. The values of the start and end points may not be precise and could be affected by the natural character of subjective variables.

The proposed method is particularly suited to the initial testing of a product that is intended to lead to measures to eliminate customer dissatisfaction or increase their satisfaction – that is, to improve the product. The method also permits an assessment of the extent to which customers feel that their expectations have been satisfied and the effect that will be felt if the organisation decides to increase fulfilment.

The Kano model has not yet been applied to product validation, although it contains all the information necessary for this task. Knowing how satisfied customers are is an important part of product validation. At the same time, knowing a mechanism for “creating” this satisfaction is also very valuable information.

Customer education is considered as an appropriate communication strategy for promoting green products. This paper aims to elaborate on the characteristics of customer education that are suitable for green products by identifying what messages must be delivered, sources and channels that must be used to achieve the greatest effect. Moreover, this study uses a repeated cross-sectional approach by using the same research model in 2008 and 2019.

A questionnaire was arranged based on the research model. In 2008, the data were collected at 12 shopping malls in Jakarta. The 2019 data were collected online, using Google forms, from citizens of Jakarta and five nearby cities. Then, the data were processed using structural equation modeling.

Data analysis of both years shows that education containing messages that are both informational and transformational can increase customers’ perceptions of the benefits and economic accessibility of green products, as well as environmental concerns. This study’s results also indicate that customers’ intentions to buy green products are influenced by their attitudes toward buying. However, the impact of customers’ perceptions of benefit and economic accessibility on their attitudes toward green purchasing varied between 2008 and 2019.

Sustainable consumption can be pursued through customer education once a community’s economic conditions have reached a certain level. This study shows how changes have unfolded in Indonesia in several areas, therefore it should also be necessary to pursue green behavior via policies that are tailored to changes in the community.

This study shows how changes have unfolded in Indonesia in several areas, therefore it should also be necessary to pursue green behavior via policies that are tailored to changes in the community.

Investigation of the role of customer education in green products using a repeated cross-sectional study.

States that the emergence of a formalised new product development can be attributed to the needs of companies in the capitalist system for maintaining a competitive advantage in their operating markets. Describes the process as one of innovation defined as:‘the technical, industrial and commercial steps that lead to the marketing of new manufactured products'. Belies the complexity of the function:’to describe new product development as difficult is probably a mammoth understatement'. Intends to illuminate the theory and practice of this process. Concludes that a flexible approach and an open mind are the most important requirements for successful application.

The contemporary organizations invest a lot of funds to gain a better understanding of the emerging needs of customers in near future. However, customers sometimes do not appreciate these hard efforts which lead to some unanticipated results for the firm. The purpose of this paper is to identify the customers’ perceptions about the future anticipatory measures done by a company.

The authors employed triangulation of methods to develop credibility of techniques and the findings of this qualitative research study. A semi-structured interview with six participants is used to explore the phenomena. After the authors gained a better understanding about the phenomena, a focus group discussion with eight participants was held to gain a better understanding of perceptions of future. Finally, the digital ethnography was employed to better explore customer behavior.

The results show that future anticipatory efforts conducted by a company are highly appreciated by the customers. This, in turn, builds a positive autobiographical memory for customers that lead to the development of a brand relationship.

The application of futurology to study within a marketing context and the employment of autobiographical memory are unique products of this study.

The purpose of this paper is to propose a methodology to use complaints, claims and company innovation as an internal data source of customer needs for product development using the quality function deployment (QFD)-Kano approach instead of an ordinary customer survey.

This paper confirms that the customer complaints and claims and company innovations from the internal data source are equivalent to the Kano model’s product attributes. Data were selected from the company’s documents. To investigate the data category, a Kano questionnaire was designed and tested with 100 random respondents. Based on their answers, categories for the quality characteristics were determined and compared with the initial data categories. A second survey using professional customer respondents was conducted to increase the results’ reliability.

The approach was shown to be effective in employing complaints, claims and innovations as an alternative source of customer needs in the QFD-Kano approach.

It is assumed that companies document their customer complaints and claims, as well as their strategic innovation plans. The complaint and claim data need to be extracted to reveal their quality characteristics. For future research, data extraction using text or data mining may be useful to bridge this gap.

The product development team may ascertain customer needs as duly classified. This voice of the customer is more accurate and requires less time.

The paper may be of value to researchers and practitioners involved in product design and development, since it offers a new source of customer need data obtained internally as an alternative to customer surveys.

This paper aims to analyze high-quality papers on the research of electronic word-of-mouth (eWOM) for product and service quality improvement from 2009 to 2022, in order to fully understand their historical progress, current situation and future development trend.

This paper adopts the bibliometrics method to analyze the relevant literature, including publishing trend and citation status, regional and discipline area distribution, and influential publications. Secondly, the VOSviewer is used for literature co-citation analysis and keyword co-occurrence analysis to obtain the basic literature and research hotspots in this research field.

Firstly, the study finds that the number of publications basically shows an increasing trend, and those publications are mainly published in tourism journals. In addition, among these papers, China has the largest number of publications, followed by the USA and South Korea. Through co-citation analysis of literature and keyword co-occurrence analysis, 22 foundational papers and six main research topics are obtained in this paper. Finally, this paper elaborates on the development trend of the research topic and future research directions in detail.

This is the first paper that uses bibliometrics to analyze and review relevant researches on eWOM for product and service quality improvement, which is helpful for researchers to quickly understand its development status and trend. This review also provides some future research directions and provides a reference for further research.