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Defining and validating a map of related technologies is critical for managers, investors and inventors. Because of the increase in the applications of and demand for semiconductor lasers, analyzing the technological position of developers has become increasingly critical. Therefore, the purpose of this study is to adopt the technological position analysis to identify mainstream technologies and developments relevant to semiconductor lasers.

Correspondence analysis and k-means cluster analysis, which are data mining techniques, are used to reveal strategic groups of major competitors in the semiconductor laser market according to their Patent Cooperation Treaty (PCT) patent applications.

The results of this study reveal that PCT patent applications are generally obtained for masers, optical elements, semiconductor devices and methods for measuring and that technology developers have varying technological positions.

Through position analysis, this study identifies the technological focuses of different manufacturers to obtain information that can guide the allocation of research and development resources.

In the context of integrated promotion, it is essential to promote destination images consistently across multiple digital channels. This study aims to examine the consistency of online destination images projected through the official tourism websites and the Instagram accounts of five main destinations in Southeast Asia.

Previous studies have used correspondence analyses to measure the relationship between categorical variables. In the present study, a Spearman’s rank-order correlation was performed after the correspondence analyses to cross-check the results.

Destinations in Southeast Asia tend to project images that are similar to each other. The correspondence analyses and Spearman’s correlation found that only one country in the area projected relatively consistent destination images. By contrast, the other destinations tend to promote inconsistent images through their official websites and Instagram accounts.

Previous studies have assessed the consistency of projected destination image by comparing communication channels managed by government/public organisations with channels of private sector organisations. This was achieved by comparing printed materials with digital channels. By contrast, this study highlights the importance of assessing a destination’s online projected image consistency across different digital platforms (official tourism websites and official Instagram accounts) within the perspective of integrated promotion.

There are many studies explaining the innovation activity determinants. Nowadays, the digitalization of sales, the influence of social media, user-driven innovation (UDI) activity might be considered as one of the crucial sources for the development of new products within the research and development activity. Undertaken research is therefore aimed at determining whether the marketing orientation, i.e. the purchasing behavior of customers, affects the innovation activity of R&D departments that work under the usage of UDI concept.

57 R&D departments operating in Poland participated in the study. Correspondence analysis based on the Burt matrix and Cramer's V correlation coefficients was used for the analysis.

The analysis shows that R&D departments in Poland using marketing research and examining consumer purchasing behavior, positively assess the effects of using the UDI concept in R&D departments. They implement it to create or improve products or services offered on the market, especially in the field of customization, while using information from national research and development units in Poland. The motivation for these activities is mainly to increase the assortment level.

The conducted study covers only R&D departments in Poland, thus it is worth extending the generalization of the results. In terms of future research directions, it's worth to analyze the data from R&D departments in other countries. The results of such studies could be used for comparative analyses. The main limitation of the research is that the research sample was 57 R&D departments of enterprises operating in Poland. Therefore, the research results can't be generalized to all the R&D departments in Poland.

The findings could help researchers and practitioners improve their understanding of the determinants of innovation activity, especially its relationship to marketing orientation and UDI practices.

The research regarding marketing orientation of enterprises and its influence on innovation activity is extremely important due to the general change of the conditions for the functioning of enterprises and building their competitive advantage. Knowledge in this area is still insufficient and research gaps are still being exposed. The article presents the correlation between the marketing orientation and customer behavior within the UDI activity and effects of innovation activity of R&D departments being under investigation.

This study aims to explore the use of consumer-generated online product reviews as a source of brand associations in a sport setting.

A total of 800 reviews were collected and categorized into 13 brand association dimensions derived from previous literature. Reviews were further categorized into three valence types (i.e. positive, negative and neutral) via a correspondence analysis.

A correspondence analysis revealed that positive product reviews were highly linked to performance and product-related attributes, while negative reviews were related to conformance associations. Additionally, the results showed that product-related (90.8%) attributes, experiential benefits (89.1%) and functional benefits (86.6%) were the most frequently communicated brand associations. The findings of this study underline the credibility of assessing brand associations from the consumers’ experience, through online consumer reviews.

The findings of the current investigation contribute to existing knowledge by examining consumer-based brand equity (CBBE) in an online setting. Previous, CBBE literature suggests that brand associations are held in the minds of the brand's consumers. To date, however, few studies have examined brand associations generated by consumers and instead have relied upon brand association dimensions developed by the researcher as opposed to the consumer (Ross et al., 2006). This, study however, utilized online sport product reviews as a source of consumer derived brand associations, and, therefore, will further the knowledge as to how brand associations are identified and measured.

This work aims to examine the communication on Twitter of the most responsible companies in Spain to identify the topics covered on corporate social responsibility (CSR) from the perspective of happiness and social marketing. In addition, the profiles of the messages that show an association with the impact of the messages have been identified.

An empirical analysis of the Twitter posts of Spain's ten most responsible companies has been carried out. The methodology of this work combines data mining techniques, sentiment analysis and content analysis, both from a quantitative and qualitative approach.

The results show that most brand tweets do not deal with CSR-related topics. The topics they address the most are those related to sports and the weather. From the perspective of social marketing, conversational-type tweets are the most published and have achieved the most significant reaction from the public. In addition, four messages' profiles have been identified based on the company and the emotional connotation associated with the impact, giving rise to more outstanding promotion of social causes.

Our main contribution to this work has been to value positive communication and social marketing to promote better CSR on Twitter. In this sense, it has been verified that there is a relationship between the public's reaction, the affective connotation and the company that issues the messages.

The purpose of this paper is to develop a software-library in the R programming language that implements the concepts of the interpretive coordinate, interpretive axis and interpretive plane. This allows for the automatic and reliable interpretation of results from the multiple correspondence analysis (MCA) as previously proposed and published. Consequently, the users can seamlessly apply these concepts to their data, both via R commands and a corresponding graphical interface.

Within the context of this study, and through extensive literature review, the advantages of developing software using the Shiny library were examined. This library allows for the development of full-stack applications for R users without the need for knowledge of the corresponding technologies required for the development of complex applications. Additionally, the structural components of a Shiny application were presented, leading ultimately to the proposed software application.

Software utilizing the Shiny library enables nonexpert developers to rapidly develop specialized applications, either to present or to assist in the understanding of objects or concepts that are scientifically intriguing and complex. Specifically, with this proposed application, the users can promptly and effectively apply the scientific concepts addressed in this study to their data. Additionally, they can dynamically generate charts and reports that are readily available for download and sharing.

The proposed package is an implementation of the fundamental concepts of the exploratory MCA method. In the next step, discoveries from the geometric data analysis will be added as features to provide more comprehensive information to the users.

The practical implications of this work include the dissemination of the method’s use to a broader audience. Additionally, the decision to implement it with open-source code will result in the integration of the package’s functions by other third-party user packages.

The proposed software introduces the initial implementation of concepts such as interpretive coordination, the interpretive axis and the interpretive plane. This package aims to broaden and simplify the application of these concepts to benefit stakeholders in scientific research. The software can be accessed for free in a code repository, the link to which is provided in the full text of the study.

World Tourism Organization (WTO) recognizes image as the main aspect to be considered by a destination in its promotion and marketing process. Cities try to build valued and recognized images, established from an identity defined based on their own values. One of the strategies adopted for this construction is to hold events, through which it is possible to promote tourism, move the economy, improve the infrastructure, change the image and influence intentions to visit the destination. From the point of view of supply and demand, theorists have proposed two categories of destination image: the projected image and the perceived image. In this context, the objective of the research was to propose a model for measuring the Projected and Perceived Image through the Organizational Identity of the Volvo Ocean Race Brazil.

With a quali-quantitative approach, the study universe is composed of in-depth interviews with the main members of the organizing committee, documentary and netnographic analysis of the event's social networks. For the analysis and interpretation of qualitative data, the collective subject discourse was used. Documentary and netnographic analysis were by means of deductive content analysis and correspondence analysis.

The results supported the three secondary hypotheses of the research, leading to confirm the central hypothesis that the constructed organizational identity, projected by the image, is perceived by visitors to the event studied.

It is understood as fundamental the expansion of studies regarding projected and perceived image, identity and the possibility of its application in tourist events, as social representations, as support also for the definition of management and marketing strategies.

This paper first aims to examine associations between factors involved in business-to-business complaints management and results (satisfaction and loyalty) and analyses three types of distributors based on their cultural profile (domestic, low context and high context). Second, the paper investigates whether the identified associations remain stable over time.

Data from a sample of distributors for a manufacturing company were gathered during two periods of time. A factorial analysis of correspondences and a cluster analysis were carried out to visually represent the associations among clients, complaints and results in the associations among clients, complaints and results. The stability over time of these relationships was also analysed by calculating the correlations between the Euclidean distances on the two maps (one per year) and their mobility ratio.

The authors found significant evidence that clients from different cultures are associated with varying profiles of complaint and different result types and that certain associations remain stable over time.

While many studies have analysed complaint behaviour in business-to-consumer contexts, there is a lack of research from an international business-business relations point of view, leaving questions virtually unexplored. Second, the last phases of supply chain management, specifically complaints management, have been undeveloped, limiting the cultural factor to the general scope of negotiation. In this vein, this paper compares different complaint profiles and results, comparing culturally different customers/distributors. Third, research has mostly referred to a single period, while this paper investigates two different periods of time for the same company (and their distributors) to analyse the relevance of the stability (or not) over time of the associations identified.

Today social media capabilities have enabled businesses and enterprises to more collaboration, engagement and co-creation with their customers. So the current paper expands on this notion. The aim of this study is a bibliometric analysis to examine the trends of publications in the field of co-creation based on social media.

To data collection of quantitative analysis, Scopus database was selected and the collected data were analyzed using Bibliometrix-package. The Web of Science also was selected to retrieve highly cited and hot papers for qualitative part of analysis besides top 10 Scopus highest citation per year documents on June 6, 2020.

The results indicate insights into research trends pertaining to social media-based co-creation, as follows: starting jump to the publications occurred in this researches from the year 2008 and the growth trend is progressing in recent years; the stressful points are “co-design,” “co-creation” and “value co-creation” and concepts such as “open innovation,” “co-innovation” and “co-new product design” are new topics that guide future direction; the USA and UK are leaders in number of multiple and single publications; the most active and top journals that are better suited to achieving a high citation rate per year for a related paper were introduced. In addition, the top documents and highly cited papers were qualitatively analyzed on the basis of times cited per year.

The current study is not free of limitations. The database was limited to only Scopus. So the patterns and trends generated in the study may not be generalized to all social media-based co-creation research. Of course, the authors did not intend to ignore other contributions. It is mainly because of the number of documents retrieved from Scopus database and the coverage, Scopus was selected. Moreover, other types of research techniques such as correspondence analysis can be incorporated to generate additional meaningful insight.

In this time of social media and user-generated content portals, co-creation through social media has become quite popular. So the main innovation of this study is providing a visual presentation of the trends and patterns in the evaluation of social media-based co-creation from the first document about the research area published till 2020. The results of this paper can shed light on the factors that strengthen the contribution of studies in a research area. Generally, the bibliometric items the authors analyzed essentially show the entire field picture and guide researchers toward understanding future trends to produce impactful studies.

This review aims to synthesize the brand hate literature and suggest directions for future research on brand hate.

This study adopted an integrative literature review method to synthesize and assess the brand hate literature.

The synthesis showed that social identity theory, disidentification theory and duplex theory are prominently used in brand hate studies, and a larger portion of brand hate research was conducted in Western countries. Further, brand-related, self-congruity, personal factors, information influence and brand community influence are the major types of antecedents of brand hate which can produce soft or hard consequences. Lexicometric analysis showed causes of brand hate, consumers' negative emotional and behavioral outcomes and community anti-brand behavior as key themes of brand hate research.

The synthesis has followed predefined criteria for the inclusion research papers. Thus, the review is limited to articles that fulfilled the criteria for inclusion.

The finding will help marketers, specially brand managers, craft strategies to handle brand hate.

The brand hate literature is still developing and remains incoherent, suggesting that a synthesized review is needed. This study has systematically reviewed and synthesized the brand hate literature to study its development over time and proposes a framework which provides a comprehensive understanding of brand hate.