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Sport events’ contribution to the destinations’ local economy implies in-depth knowledge of the economic benefits generated by non-resident spectators (NRS). Thus, this study aims to answer: What is the profile and shaping factors of the consumption patterns of the several types of NRS in international surf tourism events?

A total of 263 questionnaires applied to the NRS of an international surf event were collected and analysed. The identification of the NRS profile and the predictive factors of their total expenditure were performed through the correlation of factors and multiple linear regression, respectively.

Mostly, the event attracted generation Y NRS, with a high level of education and regular sport practice. The results showed differences among the NRS: the “casuals” included more women than men; the “extensioners” integrated the NRS whose surfing practice is higher; the “event visitors”/”time switchers” mostly integrated the domestic tourism flows; the “casuals” and “extensioners” spent the most at the destination, and those whose intention to recommend/revisit the destination, respectively, was higher; and the shaping factor that most influenced the increase in NRS expenditure was the overnight stay, added by older age, higher education level and foreign origin.

Regardless of the initial motivation that led to the trip to the destination, the results verified that the event’s attributes are capable of contributing to the recommendation/visitation of the destination. Consequently, the study of economic benefits (tangible and intangible) provided by sport events in destinations should be guided by an integrative analysis of NRS.

Social enterprises are becoming more and more important for social inclusion and reduction of poverty. Many countries world-wide have accumulated valuable experience in organization of social entrepreneurship and finding innovative approaches which are also analyzed by academic researchers and discussed on international level. Aim: To identify the specific value segments among consumers of Latvian social enterprise products and services in order to provide practical recommendations for implementation of consumer-focused marketing strategies and more effective communication patterns based on an in-depth understanding of the values within the target audience. Methods: The analysis of previous conducted research and scientific publications, analysis of social enterprise consumer survey results, for survey data analysis are applied analysis of descriptive statistics indicators of central tendency or location – arithmetic mean, mode, median, indicators of variability or dispersion – range, standard deviation, standard error of mean and cluster analysis. Results – The results of this study provided detailed descriptions of the respective segments from the demographic point of view, outlined their shopping behavior, preferences for information channels, which altogether form a comprehensive set of practical recommendations for Latvian social enterprises for more effective communication with consumers as well as for public authorities looking to increase the awareness about social entrepreneurship within Latvian society. Implications: The possible applications of research results for organization of work of social enterprises including application of digital marketing. Originality of This Chapter: Since the academic research has only relatively recently started paying attention to the specific marketing aspects of social entrepreneurship, this innovative study contributes to a persistently growing and valuable body of literature which will serve as a guideline for both social enterprises as well as public authorities seeking to find more effective communication strategies.

The rapid digital transformation (DX) that airlines experienced during the past decade has been proven to be the driving force of significant benefits for the airlines when it comes to cost reduction, branding and revenue opportunities when passengers purchase tickets and ancillaries directly from their websites. This paper aims to contribute empirically to the theoretical approaches of DX and revenue management (RM) with the investigation of the Aegean airlines DX progress, focusing on emerging RM practices and digital distribution channels.

A content analysis of the airlines’ website and social media performance is used to note the current situation combined with previous and upcoming developments. Evaluation of the company’s digitalization progress is approached by using a combination of two selected DX models, the digital transformation maturity (DTM) concept and the technology acceptance model (TAM).

The analysis of qualitative and quantitative secondary data provided by the Aegean airlines indicates that the adoption of a digital evolution marketing plan, enriched with emerging RM practices, is leading to the increase of the bookings coming from the airline’s direct distribution channels (Web & Apps) over those from intermediaries (GDSs). Consequently, Aegean airlines’ DX progress favors cost reduction and revenue increase at the same time.

DX model-based airline steps combined with direct versus indirect ticket purchase pattern compose a tool to evaluate the airline digitalization progress toward revenue integrity and product customization, as the latest trend in customer-centric strategy of businesses and customer relationship management (eCRM).

近十年来的快速数字化改革（DX）证实了航空体验成为航空公司在降低成本、品牌效应、以及收益机会的时候显著受益的驱动因素, 这体现在当乘客通过网站购买飞机票和附加服务的时候。本论文旨在以Aegean航空DX进展为实例, 以事实来验证DX和收益管理（RM）的理论论断, 尤其在新兴RM措施和数字化分销渠道方面。

本论文采用文本分析航空网站和社交媒体表现的方法, 以展示结合过去和未来发展的目前情况分析。本论文通过结合两种DX模型, 数字化改革成熟概念（DTM）以及科技接受模型（TAM）, 对该航空公司的数字化进程进行评估。

本论文对Aegean航空公司的定量和定性的分析结果表明, 数字化改革营销计划, 结合新兴RM措施, 能够增加航空公司直接分销渠道（网站&APP）的订单收益, 相较于中间分销渠道（GDS）。因此, Aegean航空公司DX进程同时也降低了成本和增加了收益。

DX模型航空业措施, 结合直接vs间接售票模式, 能够评估航空业数字化进程改进收益情况和产品定制化的有效工具, 这作为以客户为核心的商业战略和客户关系管理（eCRM）最潮流的趋势。

Spawton (1991) discusses consumer expectations and risk‐reduction strategies in the purchase of wines. Spawton (1991) refers to a four‐segment model of the market. These segments include Connoisseurs, Aspirational Drinkers, Beverage Wine Consumers and New Wine Drinkers. These segments were developed from the results of an exploratory qualitative study conducted by McKinna (1987). This study aims to empirically test and confirm the segments that the wine industry has taken for granted. There are four hypotheses relating to the confirmation of Spawton's (1991) segments.

This paper investigates the impact of individualistic (health) and collectivistic considerations (environmental) on the purchasing intention of organic foods.

The study collected 391 responses from service holders of diversified tiers from Bangladesh. It considers two-step structural equation model (SEM), as well as the Ordinal Logistic regression to analyze the fact.

SEM analysis explores that, both the individualistic and collectivistic considerations affect purchasing intention of organic foods. The regression result finds that income, the number of earning members, occupation, age and BMI are influential determinants of weekly purchasing frequency of organic foods. This research suggests, along with consumer's economic solvency an organized market with dissemination of health and environmental benefits of organic foods acts as a catalyst for purchasing intention of those products.

However, there is still scope of investigating intention-behavior gap between the actual purchasing behavior and purchasing intention, which is not addressed in this study.

To understand the perception of comparatively educated and solvent people toward purchasing intention of organic foods, this research is one of the pioneering attempts in the context of an unorganized organic food market.

The learning outcomes of the study are to analyze the launch of a new business line for Trend at the commercial and market levels; identify the potential of the green consumer in Peruvian emerging market; and apply strategic tools to analyze the viability of launching a new business line in a new market.

José Luis Galindo planned to launch a new line of toilets in the Peruvian market called EcoTrend, based on the analysis of the responsible consumption trend and the presence of a new green consumer. Therefore, he carried out a series of studies and estimates to define the feasibility of the value proposition of his ecological toilet. However, Galindo doubted if these studies and estimates were enough to carry out the launch and commercial success of the EcoTrend line. Galindo, founder and current general manager of a company called Cerámica Industrial Trend S.A.C, is broadly knowledgeable about the construction sector in Peru and has more than 30 years of work experience in the ceramic bathroom fixtures industry. Throughout his professional career, Galindo has managed three of the leading bathroom fixture companies in Peru. However, it was when he started Trend, a company focusing specifically on the manufacture of toilets, that his dream of becoming an entrepreneur came true. Trend is focused on its one-piece toilet line. These toilets are characterized by their high-quality workmanship, which is achieved through the efficient and distinctive production process of Trend’s workforce. The workforce stays on its toes due to constant, thorough training, a key to Trend’s market competitiveness. In addition, the new EcoTrend line sowed in Galindo uncertainty in the commercial viability because the product was new in the market and was going to bring a great challenge.

Depending on the scope of the course, different teaching objectives could be oriented toward entrepreneurship, management sciences, strategy and green marketing. The case can be used to teach higher level undergraduate marketing and management courses.

Teaching notes are available for educators only.

CSS 8: Marketing.

The transition from multichannel to omnichannel retailing requires a better conceptualisation, especially for customer experience in smart shopping malls. Therefore, this study aims to propose a theoretical model that captures customers’ omnichannel experiences in smart shopping malls in terms of personal interaction, physical environment and virtual environment encounters. It examines the mediating role of flow experience on the relationship between the three types of encounters and customers’ intention to revisit smart shopping malls.

The study draws on four key theories: the service encounter model, trust-commitment theory, flow theory and experiential value theory. A total of 553 completed questionnaires were collected from customers (millennials) in the United Kingdom (UK). The data was analysed using partial least squares-structural equation modelling.

The findings show that physical environment encounters and personal interaction encounters play a significant role in customers’ omnichannel experiences in smart malls. Also, of significance are the following aspects of virtual environment encounters: interface design, personalisation, trust, privacy, consumer–peer interaction and relationship commitment. The findings highlight the significant mediating role of flow on the relationships between these three types of encounters and intention, and the effect of flow on omnichannel service usage in smart shopping malls.

The research contributes to the existing literature by proposing a conceptual model: the smart shopping mall omnichannel customer experience (SSMCE) model. The findings offer practical guidance to shopping malls and retailers who wish to enhance the customer omnichannel experience.

The purpose of this paper is to examine the utilisation of product choice cues in a retail environment and the impact of consumer involvement on this utilisation. It further investigates the impact of product knowledge on product choice cue utilisation and its moderating role on the impact of consumer involvement.

The case of wine as an exemplary product category is considered, given the importance and variability of choice cues that have been found to affect product choice. Analysis is conducted on survey data from a sample of wine consumers in Ontario, Canada. Product choice cues are grouped into extrinsic, intrinsic and marketing mix. The importance of how these cues are influenced from different dimensions of consumer involvement is illustrated.

The results show that product knowledge has a positive impact on intrinsic product cue utilisation and further moderates this relationship improving the predictability of the hypothesised model. Implications for theory and practice are also discussed.

From an industry viewpoint, the focus in the past has mostly been on using packaging to attract attention/create awareness, create an image of desirability, etc., but not nearly as much on the functionality aspects thereof; for example alternative smaller packaging sizes to the standard 750 ml wine bottle.

The study uses a multi-dimensional approach to measure the impact of enduring involvement on utilisation of product choice cues.

This paper aims to identify distinct consumption patterns among Asian consumers and examine how these relate to cultural antecedents and key human values.

This study uses a large, representative sample of almost 7,000 Asian consumers in 10 culturally varying markets, using latent profile analysis (LPA) to identify the consumption profiles.

The findings empirically demonstrate that the two profiles are “inner-directed nationalistic frugals” (IDNF) and “outer-directed self-eekers” (ODSS). IDNF consumers spend more time and money on education and prefer ethnocentric consumption. ODSS consumers emphasize individuality, self-expression, seeking novelty and impressing others. Consumers with more collective values in Schwartz's typology tend to demonstrate the IDNF pattern; those with more individualistic values demonstrate the ODSS pattern. The distribution of IDNF and ODSS profiles is influenced by demographics, religion and geographical region: IDNF is greater than ODSS in Southeast Asia; ODSS is greater than IDNF in East Asia; IDNF is roughly equal to ODSS in Northeast Asia. IDNF tends to be found among older and more religious consumers, while ODSS is the opposite. Importantly, in the more religious Southeast Asian countries, even younger consumers are more IDNF than ODSS.

This research uses an exploratory and discovery-oriented approach; future research can use more confirmatory approaches to systematically examine the relationship between cultural dimensions (e.g. individualism-collectivism) and consumption patterns.

For their brands to grow in Asian markets, marketing practitioners are advised to use multiple brands to segment Asian consumers based on their values, demographics, geographical location and what religious/faith traditions they follow.

This is the first paper to identify consumption profiles in Asian markets using LPA without prior conceptual biases and relate them to cultural values and demographic variables.

This paper aims to detect abnormal energy uses which relate to undetected consumption, thefts, measurement errors, etc. The detection of irregular power consumption, with variation in irregularities, helps the electric utilities in planning and making strategies to transfer reliable and efficient electricity from generators to the end-users. Abnormal peak load demand is a kind of aberration that needs to be detected.

This paper proposes a Density-Based Micro Spatial Clustering of Applications with Noise (DBMSCAN) clustering algorithm, which is implemented for identification of ranked irregular electricity consumption and occurrence of peak and valley loads. In the proposed algorithm, two parameters, a and ß, are introduced, and, on tuning of these parameters, after setting of global parameters, a varied number of micro-clusters and ranked irregular consumptions, respectively, are obtained. An approach is incorporated with the introduction of a new term Irregularity Variance in the suggested algorithm to find variation in the irregular consumptions according to anomalous behaviors.

No set of global parameters in DBSCAN is found in clustering of load pattern data of a practical system as the data. The proposed DBMSCAN approach finds clustering results and ranked irregular consumption such as different types of abnormal peak demands, sudden change in the demand, nearly zero demand, etc. with computational ease without any iterative control method.

The DBMSCAN can be applied on any data set to find ranked outliers. It is an unsupervised approach of clustering technique to find the clustering results and ranked irregular consumptions while focusing on the analysis of and variations in anomalous behaviors in electricity consumption.