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This study aims to use big data analysis and sheds light on key hotel features that play a role in the revisit intention of customers. In addition, this study endeavors to highlight hotel features for different customer segments.

This study uses a machine learning method and analyzes around 100,000 reviews of customers of 100 selected hotels around the world where they had indicated on Trip Advisor their intention to return to a particular hotel. The important features of the hotels are then extracted in terms of the 7Ps of the marketing mix. This study has then segmented customers intending to revisit hotels, based on the similarities in their reviews.

In total, 71 important hotel features are extracted using text analysis of comments. The most important features are the room, staff, food and accessibility. Also, customers are segmented into 15 groups, and key hotel features important for each segment are highlighted.

In this research, the number of repetitions of words was used to identify key hotel features, whereas sentence-based analysis or group analysis of adjacent words can be used.

This study highlights key hotel features that are crucial for customers’ revisit intention and identifies related market segments that can support managers in better designing their strategies and allocating their resources.

By using text mining analysis, this study identifies and classifies important hotel features that are crucial for the revisit intention of customers based on the 7Ps. Methodologically, the authors suggest a comprehensive method to describe the revisit intention of hotel customers based on customer reviews.

The purpose of this study is to propose a new consumer value segmentation method for low-dimensional dense market datasets to quickly detect and cluster the most profitable customers for the enterprises.

In this study, the comprehensive segmentation bases (CSB) with richer meanings were obtained by introducing the weighted recency-frequency-monetary (RFM) model into the common segmentation bases (SB). Further, a new market segmentation method, the CSB-MBK algorithm was proposed by integrating the CSB model and the mini-batch k-means (MBK) clustering algorithm.

The results show that our proposed CSB model can reflect consumers' contributions to a market, as well as improve the clustering performance. Moreover, the proposed CSB-MBK algorithm is demonstrably superior to the SB-MBK, CSB-KMA and CSB-Chameleon algorithms with respect to the Silhouette Coefficient (SC), the Calinski-Harabasz (CH) Index , the average running time and superior to the SB-MBK, RFM-MBK and WRFM-MBK algorithms in terms of the inter-market value and characteristic differentiation.

This paper provides a tool for decision-makers and marketers to segment a market quickly, which can help them grasp consumers' activity, loyalty, purchasing power and other characteristics in a target market timely and achieve the precision marketing.

This study is the first to introduce the CSB-MBK algorithm for identifying valuable customers through the comprehensive consideration of the clustering quality, consumer value and segmentation speed. Moreover, the CSB-MBK algorithm can be considered for applications in other markets.

The purpose of this study is to identify and understand distinct tourist segments in Phuket, focusing on their characteristics, attitudes and perceptions as visitors to a creative gastronomic destination.

In this study, cluster analysis is used to identify tourist segments in Phuket, a well-known United Nations Educational, Scientific and Cultural Organization (UNESCO) gastronomic city. The analysis is based on data collected from 525 domestic Thai tourists.

Cluster analysis revealed three distinct tourist segments: gastronomy enthusiasts, taste discoverers and gourmet wanderers. These segments exhibit significant differences in their characteristics and perceptions of Phuket’s gastronomic offerings.

This study is limited to domestic Thai tourists in Phuket and does not include international visitors. In addition, the findings are specific to the context of Phuket and may not be entirely generalizable to other gastronomic destinations.

The identified tourist segments provide valuable guidance for tourism professionals to tailor their marketing efforts, develop targeted products and meet the preferences of different gastronomically oriented tourists, contributing to the successful management of a gastronomic city.

This study contributes to the fields of destination management and gastronomy tourism by providing valuable insights for practitioners seeking to enhance their offerings and consider the preferences of different gastronomically oriented tourist segments. Identifying these segments enriches the understanding of visitor behavior in creative gastronomy cities.

Research for the case study was conducted using a combination of semi-structured interviews and secondary data sources.

This case traces the international expansion of Sadowsky Guitars’ bass guitar product line. Roger Sadowsky is one of the most respected instrument makers in the world and gained early acclaim for his outstanding repair and restoration work on guitars and basses. Some of his early clients included Prince, Will Lee (The Tonight Show), Tom Hamilton of Aerosmith, Jason Newsted of Metallica, Eddie Van Halen and Marcus Miller. Roger’s reputation and the demand for his instruments led to some customers having to wait for more than a year to obtain the chance to purchase a Sadowsky instrument, while others were unable to do so due to financial constraints. In 2003, Roger made the decision to form Sadowsky Japan to begin the contract manufacturing of more affordable Sadowsky instruments in Tokyo, Japan. As the company grew in size, Roger realized he was becoming more focused on running a business than building instruments. Furthermore, his Japanese partners were only interested in serving the Japanese market. This required him to handle the sales and distribution in the remaining parts of the world. In December of 2019, he announced a new, exclusive licensing agreement and distribution partnership between Sadowsky Guitars and Warwick GmbH & Co Music Equipment KG. The new agreement allowed Roger to continue running the Sadowsky NYC Custom Shop while Warwick would take over building and distributing the Metro instruments and a less-expensive, Chinese-built version of the MetroExpress instruments.

This case is appropriate for undergraduate and graduate-level courses related to marketing and consumer behavior. The case walks students through a real-life scenario when the founder of a well-known musical brand sought to expand internationally as a way to meet growing market demand. Students are asked to consider the advantages and disadvantages of the five key international market entry strategies: exporting, licensing, contract manufacturing, joint ventures and investment (equity/acquisition).

The case works well in the classroom, even if people are unfamiliar with the musical instrument retail industry. Participants are most likely aware of some of the artists and musicians mentioned in the case. Some may also be or know musicians. The instructor should be able to quickly engage participants in a lively discussion about Roger Sadowsky’s vision for his instruments and the opportunities and challenges of expanding product offerings and increasing market share.

Teaching notes are available for educators only.

This study aims to investigate the key roles of human and relational capital in the export orientation and competitiveness of knowledge-intensive cooperative companies. It is also aimed to examine the moderating role of marketing knowledge capabilities.

Data from 552 managers at 86 companies, selected from knowledge-intensive export cooperatives, were analyzed with structural equation modeling with the partial least squares approach.

Results indicate that both human and relational capital exert considerable effects on competitiveness. Export orientation was a driving factor for cooperatives’ competitiveness. Human and relational capital fostered the effects of export orientation on competitiveness. Moreover, marketing knowledge capabilities were found to moderate the relationships between human and relational capital and export orientation, as well as between export orientation and competitiveness.

By highlighting the role of human capital and relational capital in export orientation and competitiveness, this study offers an analysis of important managerial processes within cooperative companies, which have not been sufficiently addressed in previous research. This research also demonstrated the moderating role of marketing knowledge capabilities in strengthening relationships between human and relational capital and export orientation, as well as between export orientation and competitiveness, which has been neglected in previous studies. These findings provide academics and practitioners with a new framework for examining the relationships between these constructs, which will enable them to establish strategies for achieving a competitive advantage.

This study proposes marketing strategies for global fast-moving consumer good (FMCG) brands to survive and thrive in the turbulent economic environment created by COVID-19. The authors investigate the indirect effects of consumer ethnocentrism (CET) and consumer confidence (CC) on customer equity drivers (CEDs)’ effectiveness in influencing repurchase intention (RI) for global FMCG brands.

This study uses the mall-intercept technique. Respondents were randomly approached at popular retail and shopping destinations in Athens, Greece, and 228 customer participants completed the survey.

CET and CC weaken the positive relationship between certain CEDs and RI of FMCG brands. Particularly, the effects of relationship equity (RE) and value equity (VE) on strengthening repeated purchases are higher for low-confidence or low-ethnocentric consumers. Thus, marketing strategies for enhancing value and creating stronger consumer–brand relationships are more effective in boosting repeated purchases during economic turbulence.

Practitioners and academicians can use the insights obtained from this study to determine how to allocate resources and adopt the most effective marketing strategies in local environments based on consumer preference for domestic or global products and consumer morale and expectations for future financial status.

This research unveils the mechanism behind the moderating effects of CET and CC on the effectiveness of CEDs in global FMCG settings using social identity and system justification theory. Turbulence in international and local markets due to the pandemic has revealed that marketing function needs to redesign strategies and coordinate practices to boost repeat purchases.

The purpose of this study is to, first, analyze the past years of research on international branding and, second, building on an early literature review, to analyze patterns in the field and suggest future research.

The analyzed papers were compiled using the Web of Science and Scopus databases. The author searched papers published between 2007 and 2023 that used terms related to international branding in their title, abstract and keywords.

This paper structures and identifies key institutions, papers, regions and authors in the field. It provides an overview of the past years of research in the area. The study identifies important gaps in the literature and suggests further research dealing with, for example, the B2B sector and emerging markets.

Despite the increase in international branding studies, few literature reviews have been published since 2007. This review fills this research gap. It identifies future research areas dealing with branding in the B2B sector, branding in emerging markets, branding process and implementation studies using longitudinal methods and more practical research.

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.

The current study builds on social identity theory and realistic conflict theory aims to identify the relationships amongst consumers' ethnocentrism, animosity, discomfort with differences – a factor of universal-diverse orientation (UDO) – and reluctance to purchase German (RELG) and French automobiles (RELF) in the Turkish automobile market which is dominated by foreign brands.

Empirical data were collected via face-to-face surveys from 400 respondents in the emerging market Turkey. Structural equation modelling was employed to examine the direct and indirect effects between the variables.

The main predictors of the RELG are consumer ethnocentrism, discomfort with differences and economic animosity towards Germany, respectively. Furthermore, RELF in the Turkish market is positively affected by consumer ethnocentrism, war animosity towards France and discomfort with differences, respectively. Discomfort with differences mediates the relationship between consumer ethnocentrism and RELG and RELF.

International collaborations with local manufacturers have huge strategic impacts when establishing reliable relationships with Turkish consumers. Foreign companies can initiate socially responsible projects that will relay the message of similarities between cultures to decrease perceived cultural differences. Highlighting the similarities of Turkish consumers with a foreign company in promotional campaigns will be much beneficial.

Despite there are many studies regarding antecedents and consequences of consumer ethnocentrism, extant research overlooks the effect of animosity on this concept. Additionally, studies examining UDO in the marketing literature are scarce. This paper integrates UDO, consumer ethnocentrism, animosity and reluctance to purchase foreign products in one study.

This study proposes a hierarchic segmentation that develops a tree-based classification model and classifies the cases into groups. This allows for the definition of e-commerce user profiles for each of the groups. Additionally, it facilitates the development of actions to improve the adoption of the online channel that is in such high demand in the current pandemic COVID-19 context.

Regarding the created segments, two extreme segments stand out due to their marked differences and high volume. Segment 3 with 23% of the sample is the group with the most predisposition to use the online channel and is characterised by a high level of trust, more habitual use in comparison with other groups and the belief that its use implies high performance, which indicates they believe it to be useful, quick and helpful for more an effective shopping experience. The other extreme is found in segment 7. This group makes up 17.7% of the total and is the most reluctant to use the online channel. These users are characterised by the complete opposite: they have a low level of trust in this channel. However, the effort expectancy is low, i.e. they consider that the adoption of the online channel does not involve many difficulties in its learning and use. Nevertheless, they use it less regularly than the others.

Based on the conclusions reached in this study, in the current pandemic context in which consumer demand for online shopping channels for all types of products is on the rise, it is recommended that companies focus on the following aspects. It is essential to build trust with the user and show them the real benefits of e-commerce, how it would improve their life and why they should use it. Additionally, it is vital that the user perceives it as an easy procedure that does not require a significant learning curve. Other fundamental aspects would be to reduce any uncertainty the user might have about the online shopping process, to make it as easy as possible, and to design a simple, intuitive and user-friendly interface. It is also recommendable to manage data usage efficiently. To do so, the authors recommend asking the user for the least amount of information possible, offering a data protection policy and assuring them that their information will not be misused nor shared with third parties. All of this provides a series of facilities to modify the online shopping habits of users.

As in most of the research, this study presents a series of limitations that should be debated and that could open future lines of investigation. Firstly, regarding the sample used that was limited to two neighbouring countries with similar profiles a priori; it would be necessary to compare their possible cultural differences according to Hofstede's dimensions as well as increase the number of European countries being analysed to reach a more generalised conclusions. Secondly, the variables used are a combination of those derived from the UTAUT2 model and others suggested in the literature as decisive in technology adoption by users, in this sense other theories and variables could be incorporated to complete a more holistic model.

This work contributes in a general way to (1) analysing the intention to use e-commerce platforms from a set of antecedents previously defined by their importance, after a period of economic and social restrictions derived from the pandemic; (2) determination of customer segments from the classification made by the CHAID analysis; (3) characterisation of the previously defined segments through the successive divisions that were proposed in the analysis carried out.

Other fundamental aspects would be to reduce any uncertainty the user might have about the online shopping process to make it as easy as possible, and to design a simple, intuitive, and user-friendly interface. It is also recommended to manage data usage efficiently. To do so, the authors recommend asking the user for the least amount of information possible, offering a data protection policy, and assuring them that their information will not be misused or shared with third parties.

The results obtained have allowed us to establish predictive and explanatory models of the behaviour of the segments and profiles created, which will help companies to improve their relationships with online customers in the coming years.

本研究擬提出一個會發展基於樹的分類模型、以及會把案例歸入不同的類別的層次細分。這讓我們能為每個類別考慮到電子商務用戶輪廓的定義和解釋；這亦促進我們優化採用在線渠道的發展工作,而在線渠道於現時2019冠狀病毒病肆虐的情況下,實在供不應求。

就創設的細分而言,兩個極端的細分因其明顯的差別和大批量而顯得突出。佔樣本百分之二十三的細分3是擁有最大使用在線渠道傾向的細分,而細分3的特徵包括他們對在線渠道呈高信任度,比其他類別更習慣地使用,以及其相信使用在線渠道會帶來更高的績效,這表示他們相信使用在線渠道是有效的,是快捷的,是可幫助帶來成功的購物體驗的。另外的極端在細分7內發現。這類別佔整體的百分之十七點七,而他們是最不願意使用在線渠道的類別。這類別的特徵和前述的剛剛相反：他們對在線渠道的信任程度是低的,唯其努力期望是低的,也就是說,他們認為使用在線渠道是不會涉及很多在學習上或在實際應用上的困難。即使是這樣,他們較其他人卻較少使用在線渠道。

基於研究的結論,我們的建議是：於目前大流行肆虐期間,消費者對於以在線渠道網購各類商品的需求不斷增加,企業應聚焦以下的範疇：企業必須建立消費者對電子商務的信心,並為他們展示電子商務的真正好處；企業也必須使消費者明瞭電子商務如何能改善其生活,以及他們為何要使用電子商務。更重要的是使消費者覺得使用電子商務是輕而易舉的,又不涉及陡峭的學習曲線。凡此種種,就成為消費者改變其網上購物習慣的動力和誘因。至於其他基本的考慮,包括減輕消費者對使用電子商務的不確定情緒,使電子商務易於使用,以及設計一個簡易的、憑直覺能知曉的、方便使用的介面。另外,值得推薦的是、數據使用情況須有效地管理。為此,我們建議應儘量向使用者索取最低限度的資料,為他們提供資料保護政策,保證他們的資料不會被濫用或與第三者分享。

與其他大多數的研究一樣,本研究展現了一系列值得辯論的局限,而這些局限或許會開展未來研究的領域。首先,考慮到使用了一個局限於兩個以因及果演繹而成的、概況相似的相鄰國家為樣本,我們或許需要根據霍夫斯泰德文化維度理論對這兩個國家進行比較,以瞭解它們的文化差異；另外,為求能達致可普遍適用的結論,我們也需把被分析的歐洲國家的數目增加。其次,被使用的變數是兩組變數的組合,他們是從UTAUT2模型中取得的變數,以及在有關的文獻裡,就技術採用而言、使用者認為是重要的變數。就此而言,若其他的理論和變數能被包含其中,則達致的模型將會是一個更為整體的模型。

本研究就一般而言有以下的貢獻：(一) 、 在因大流行病而引起的經濟和社會限制實施時期後,研究人員分析人們如何從一套過去被認定是電子商務平台的重要前身而選擇使用電子商務平台,本研究對這方面的分析作出了貢獻；(二) 、本研究幫助確定從透過CHAID分析而來的分類中得到的顧客細分；(三) 、本研究透過進行連續分解、幫助歸納過去被認定的細分的特徵。

企業必須建立消費者對電子商務的信心,並為他們展示電子商務的真正好處；企業也必須使消費者明瞭電子商務如何能改善其生活,以及他們為何要使用電子商務。更重要的是使消費者覺得使用電子商務是輕而易舉的,又不涉及陡峭的學習曲線。凡此種種,就成為消費者改變其網上購物習慣的動力和誘因。至於其他基本的考慮,包括減輕消費者對使用電子商務的不確定情緒,使電子商務易於使用,以及設計一個簡易的、憑直覺能知曉的、方便使用的介面。另外,值得推薦的是、數據使用情況須有效地管理。為此,我們建議應儘量向使用者索取最低限度的資料,為他們提供資料保護政策,保證他們的資料不會被濫用或與第三者分享。

本研究所得的結果,讓我們可以建立多個模型、以預測並解說有關的市場部分的行為和被創建的消費者簡介,這會幫助企業改善它們今後與網上顧客的關係。