Introduction This research will investigate the advancement of cognitive computing and how it can be applied through „Dynamic Marketing Capabilities‟ (Bruni and Verona, 2009) to raise the bar of personalizing services and amenities provided to the luxury watch market loyal customer. Through intuitive digital applications, new levels of interactive systems can focus on explicitly the next generation of hyper-connected luxury customers. Theoretical Development The purpose of this research is to investigate how to personalize the communication process in the luxury market segment through cognitive computing and address the high expectation of the new affluent consumer of the digital age. The next generation of affluent luxury consumers is accustomed to interactive systems and personalized interfaces that enable computers to get more intuitive of the customer(s) to enable them to personal the individual‟s needs. This level of personalization undoubtedly raises the bar on the luxury customer‟s journey from the tactile in-person luxury shopping experience currently found in brick-and-mortar locations, to a decidedly more interactive and increasingly immersive online customer experience. Abbott (1955) and Alderson (1957) focused on the notion that “what people desire are not products but satisfying experiences” (Abbot 1955, p. 40). The fundamentals of cognitive computing are to recognizing trends and behaviors that enable companies to utilize Artificial Intelligence to make proper predictions and give insight to intuitively give consumers what they need before they have to request it. The idea behind this research is to take the traditional luxury market sector of Swiss watches and combine it with the intuitive software provided by cognitive computing. Research Design According to the Federation of the Swiss Watch Industry (FHS) in 2017, Switzerland occupies only 3% of the global market regarding the quantity of watches. As for value, Switzerland represents 54% of global sales that is 21 billion USD. Thus, about 95% of luxury watches with price starting from 1,000 USD are stamped "Swiss Made.” Thus, the Swiss watch industry has become an integral part of the luxury universe. However, it‟s not an easy task to get a place in this luxury market of reference. According to the estimation made by the Institute of Watch Marketing, there are approximately 200 active Swiss independent watch brands on the market today. Under conditions of the highly competitive market, the challenge concerns not only market share, but also competitive advantage as well as customer relationships or brand equity. We situate this research within the context of the Swiss luxury watchmaking industry and focus on the power of the website to increase customer loyalty. We suggest ways to utilize a brand‟s electronic (desk, mobile, tablet) touch points to aggregate data to gain a deeper understanding of their loyalist. Armed with knowledge, luxury watch brands can connect to their customers through the power of artificial intelligence. Affluent “digital native” consumers have “hyper-connected” instincts, and increasingly expect more from their chosen brands through next-level personalization. The continued evolution of consumers‟ online behavior, attitude, and expectations from brands currently exceeds what is possible for a single human to process. It is, therefore, becoming increasingly necessary to incorporate both the power of cognitive computing and the information gleaned from large data sets (big data) to produce more intuitive and personalized experiences. This information enhances the brand‟s ability to uncover behavioral patterns and begin to incorporate “machine learning,” (a subset of AI) a calculated algorithm that can facilitate the process of personalization. The speed at which data can now be processed, analyzed, clustered and contextualized has increased the value of machine learning in the world of the consumer experience. Personalization of luxury branded communication that utilize artificial intelligence (AI) to help them connect intuitively with their audience are more apt to meet the needs of the next generation of affluent consumers on a more personalized level. By focusing on the shift in adaptive interactive systems, we highlight the power of cognitive computing to help offer more intuitive luxury personalization for their loyal customers (owners of the brand‟s watches). Achieving this stage of customization requires computers to mimic human intelligence using logic and insight. This research will explore new opportunities to help identify the independent luxury watch industry to capture the attention of the next generation of customers in cyber-space. The customer‟s journey no longer ends at the front door of the traditional brick-andmortar location – it continues into the digital space and even starts from it. Offline Swiss luxury watch brands have mastered the role of personalization through “white glove” in-person customer service and installations exhibiting their expert craftsmanship. This level of customer service is still best accomplished through cultivating and curating the boutique shopping experience, although AI is rapidly changing this dynamic. Currently, the online experiences of luxury watch brands have proven to be less than satisfying for their discriminating clientele because most still shy away from creating a fully-realized digital landscape including an e-commerce presence. Independent watch brands need to push beyond the generic expectations and curate rich aesthetic experiences that set a crucial dimension of the luxury sector (Berthon et al. 2009). This research begins to address how Swiss luxury watch brands can fully embrace the digital evolution and strategically utilize the valued subset of AI including cognitive computing, machine learning, and adaptive interactive systems. AI machine learning will ensure the level of personalization to which the discerning luxury customer has grown accustomed. The next section details how watchmakers can accomplish this integration. Conceptual Framework Over the past years, researchers have increased conceptual understanding of the role of marketing in enabling firms to create and sustain competitive advantage and superior value (Ramaswami et al., 2009). By potential to improve business performance, some studies (Bruni and Verona, 2009), have introduced the term „Dynamic Marketing Capabilities‟ (DMCs hereafter). In fact, DMCs are focused explicitly on releasing and integrating the market knowledge that helps firms evolve. The strategic position of marketing to absorb market knowledge allows Swiss luxury watch brands to provide accurate insight into brand equity and distinctive experience. DMCs are capabilities that use market knowledge to adapt firms‟ resources and capabilities (Day, 1994; Slater and Naver, 1998). In this research will explore the characteristics and uses of market-based resources, such as building brands, relationships, and knowledge and apply to digital solutions through interactive systems and personalized interfaces. This market-based perspective suggests that marketing research increasingly focuses on intangible, complementary resources, whose effects on the firm‟s sustained competitive advantage (SCA) and performance may be greater than the impact of tangible resources (Srivastava et al.1998). As much as 70% of a firm‟s market value may come from its intangible resources (Capraro and Srivastava 1997), and organizational performance increasingly seems tied to intangible resources, such as customer relationships or brand equity (Lusch and Harvey 1994). The abundance of active users globally on the internet, smartphones, laptops, tablets, and desktops creates a wealth of data, up to 80 percent of which is untapped and unstructured and not contextualized for use (Alexander, 2016). This unused data often referred to as “dark data,” includes web images, social media networks, emails, blogs, and videos (Alexander, 2016). An analysis of the online behavior of a brand‟s current customers contributes to the formation of stronger, more meaningful clusters based on current customer personas to reveal patterns of similar interests between groups of customers. This majority of available data can be analyzed by machine learning, and “the more data an algorithm can train on, the more accurate it will be” (Deep Learning, n/a). The sub-domain of machine learning, deep learning, which is itself a sub-domain of AI, breaks down tasks to make machine assistance possible (Copeland, 2016). Thus, deep learning provides insights, which can then be used to help curate a personalized experience through predictive analytics. Gathering customer attributes through insight for this research requires that we take a closer look at similar customer gathering registering their watches online (serial number required) making sure to capture necessary demographic and psychographic information, and through using clientele retail locations, which would then was mined for insights and more branded content. The reactive software would utilize deep learning algorithms to recognize moments, behavior and geo-location to offer realtime personalized mobile engagement. The increasingly common practice of merging of marketing teams enhances marketing deliverables through the User Interface (UI) and User Experience (UX). The interface, coupled with the experience, need to work synergistically to drive curiosity and encourage the user to explore and discover what will eventually become more personally-targeted curated content on the website. To further explain how these technologies can be employed for the luxury watchmaking companies, we examine several Swiss luxury watch brands. Describing how actionable data derived from cognitive computing can create a more intuitive customer experience, Vishal Katelia, Senior Manager, Global CRM at the luxury ecommerce website Mr. Porter provides an analogy from the luxury hotel world. He says that luxury hotels excel in many ways, “especially around the „surprise and delight‟ aspect of keeping track of small but important details that personalize their clientele‟s experience from the type of pillow they prefer to sleep on. Paying attention to these details can ensure future expertise, are as perfect as the hotel can offer (Miller, 2016). While machine learning focuses on building machines that replicate the human brain‟s cognitive capabilities to apply this knowledge from cognitive science to react in a intuitive way (Jones, 2017). Artificial intelligence refers to "a broad set of methods, algorithms and technologies that make software 'smart' in a way that may seem human-like to an outside observer," according to Lynne Parker, director of the division of Information and Intelligent Systems for the National Science Foundation (Noyes, K., 2016). Cognitive technologies are themselves products of artificial intelligence that perform human-like tasks such as speech recognition, natural language process, machine learning, computer vision (Schatsky D., Muraskin, Ragu Gurumurthy, R. 2015). Furthermore, it is important to look beyond AI to the most efficient way to personalize the customer‟s experience. By using cognitive technologies marketers can create intuitive experiences for customers offering services and experiences based on behavioral profiling through data clusters and affinity analysis. Result The actionable insight that can be gained through this research was presented in a two-pronged process. First, connecting data that would typically be collected from a brand‟ e-commerce customers‟ journey now would be used to produce more curated content. The ability to apply cognitive computing through tools such as Qubit (data science company) that was used for this study that offers gives us the opportunity to apply an affinity analysis to form insights, patterns, behaviors that previously were undiscovered. Insights gathered would help to identify and reward loyal customers beyond the standard loyalty programs with notifications, private activations on geolocation services. Second, understanding the UX and UI on the websites of the three pre-selected independent luxury watch brands enabled us to follow and eventually understand the user‟s journey both on mobile and desktop. The personalization of the interface allows for in-depth learning to better understand an individual‟s needs and create an intuitive experience for the user. This research is limited to the personalization of loyal users, not to the interested parties of the independent luxury watch brands. While for marketing purposes, most insight collected from a brand‟s website typically is obtained from e-commerce, the independent luxury watch brands are currently limited to UX to measure the movement and interests of the users. The practical application of utilizing untapped „dark data‟ through the process of deep learning personalizes the interface and further utilizing AI technology to offer unique immersive experiences raises the innovation of personalization. The behavioral insights provided by deep learning can contextualize actionable information, which can then be applied by the brand‟s marketing management, retail managers, digital marketing, and public relations (PR) teams. Collection Process & Insight 1. Discovery of Audience Clusters based on Interests 2. Selection Process of Interest-Sets 3. Profiling / Persona of Audience 4. Discovery patterns from AI‟s Subset of Deep Learning 5. Select Deliverables That Align with Brand Through Mobile Applications Further investigation and re-evaluation of changing audience should be measured through the new applied data collected from discovering of new AI subset of deep learning from the luxury consumer. The AI movement will continue to change the next generation of affluent consumer‟s expectations, and with a continued reliance on smartphone technology it is inevitable that the future of personalization will require further investigation. While we have specifically focused on these three independent luxury watchmakers and the four clusters of interests currently available on their websites, future research will need to more deeply examine how the continued evolution of deep learning measurements can be best utilized to match the organic interests of the next generation of loyal customers. The behavioral insights provided by deep learning can contextualize actionable information, which can then be applied throughout the luxury brand communication; marketing management, retail managers, digital marketing, and public relations (PR) teams. Conclusion In this paper, we aimed to revisit luxury customer‟s expectation in the digital age and discuss how the industry is in the midst of a revolution that is changing the level of expectations of personalization. There is no doubt that the new technology is shifting the levels of customization through interactive systems and personalized interface will continue to advance. The next generation of affluent consumers have a high demand for interactive visual content, and dynamic marketing capabilities concept helps to integrate data for creating the new value and competitive advantage for the company. Cognitive computing insight will continue to enable luxury Swiss watches makers to understand how to personalize for the next generation of affluent consumers; more research is required to continue to explore more actionable insight.

This paper explores how luxury brands can utilize Weibo in order to create an effective marketing strategy that appeals to millenials. China accounts for 47% of global online retail sales (eMarketer, 2016) and it is predicted that millenials (born 1980-1995) and Generation Z will make up two-fifths of luxury spending by 2025 (eMarketer, 2017). However, due to political constraints, popular western social media sites cannot be used to target this vast market of online Chinese consumers. Weibo is one of the most popular social media sites in China, with 97.2% using the site (Yu et al., 2017). In order to target them effectively brands need to gain an indepth understanding of Chinese consumers and what would appeal to them on Weibo. The majority of social media research uses quantitative methodologies on popular social media, such as Facebook and Twitter. There are limited qualitative studies exploring consumers’ feelings and attitudes towards brands’ social media activities on Weibo. Due to different cultural backgrounds Chinese consumer behavior is likely to show a different trend to Western countries. Semi-structured interviews with a purposive sample of 12 participants were conducted. Findings showed that convenience, immediacy, social standing/status and entertainment were key drivers for using Weibo. Fashion information, latest product releases and videos were the most popular type of posts. Consumers read comments and tagged their friends, emphasising the importance of e-word-of-mouth (e-wom) and the influence that it can have on purchasing behaviour. This also facilitated the creation and feeling of a brand community. Consumers were very receptive to celebrity collaborations which influenced purchasing behavior. The main criticism of luxury brand’s Weibo was that it was not updated enough and Weibo did not have an influence on trust. This study provides a clear insight into what Chinese millenials want from luxury brands’ Weibo and how it can influence their purchasing behaviors and e-wom. The findings are novel, contributing to the academic literature through the conduction of a qualitative study exploring an under-researched area. This research has practical implications for luxury brands, as they should provide regular, up-to-date content consisting of videos and celebrity collaborations. A limitation could be the limited number of participants, yet, findings provide an interesting insight into consumers’ perceptions of Weibo and how it influences their attitudes and behaviors towards luxury brands.

Recently, as the development of media contents accelerated, auditory-based contents, especially ASMR, has been taking center stage in its field than visual-based contents. They are meaningful in a way that they are alternative contents that suggest a new space and possibility through aural stimulation, getting out from the boundary of excessive visual stimulation of existing media. According to Jang, Park, & Lyou (2016), ASMR is originally the abbreviation of a medical term, ‘Autonomous Sensory Meridian Response’. However in 2010, Jennifer Allen for the first time presented the definition that ‘ASMR is a specific sound that gives pleasure', and recently it is used as a coined word among young people rather than medical terminology (Jang, Park,& Lyou, 2016). Consumers listen to ASMR for stress relief, psychological stabilization, and relaxation through repeated, constant sound triggers (Zhang, 2015). The triggers used in ASMR marketing draw a stronger commitment within the consumers, by accompanying visual stimuli consistent with auditory stimuli (Sim, 2014). As reported by Hong (2017), commitment is a state of sensorial arousal when a person is totally lost in something and among all affective commitment relieves stress and enhances enjoyment; therefore raises quality of life and helps to live a rich life (Hong, 2017). This shows that there is a close relationship between satisfaction and enjoyment about experiences of ASMR content that leads to commitment, and such phenomenon creates a state of immersion that collapses the distinction between consumers’ past, present and future. Throughout the process, consumers meet the chance to recall the familiar sound that they have experienced in the past, and therefore remind of nostalgia on it (Zhang, 2015). Belk (1990), within the view of marketing, referred to the conceptual definition of nostalgia as a kind of longing atmosphere promoted by sensory stimuli such as scene, smell, and music. Zhang (2015) says that one of the important factors that cause nostalgia is sound, and one calls of the past through a specific sound which is an external stimulus – ASMR is included in it. Consumers can acquire prior knowledge of the brand while enjoying ASMR contents, and they can even have indirect experiences without having direct experiences of actually purchasing or wearing products. This helps to inspire the expertise of the product, and also plays a role in shaping positive consumption emotion such as pleasure and sensibility (Yang, 2016). Fashion products, especially, are more sensible than general consumer goods and due to excessive diversity of products, rational and deliberate purchasing rarely happen. Thus, consumers can build positive brand equity through ASMR marketing by learning specialized knowledge about products that could not be obtained from other marketing. In this study, we propose the new compound word ‘ASMR marketing,’ which combines marketing with the definition of ASMR of the coined term. Electronic word of mouth(EWOM) by ASMR marketing is a process in which the consumers communicate about product information and usage in the online community without the intervention of the seller. Through the characteristics of electronic word of mouth and ASMR, it is easy to infiltrate into daily life of the consumers and easily imprint the individuality of the brand to them (Wang, 2015). Although ASMR appears in ads of HeatTech and AIRism of UNIQLO, a fashion brand, ASMR triggers are not used as a background music and narration. In fashion industry, the use of sounds from the production process of fashion products, or the sounds that occur when wearing them, highlights professionalism and stimulates nostalgia by attracting consumers' emotional commitment. In addition, when ASMR marketing is applied to a luxury brand rather than SPA brand, expertise can be emphasized more effectively. ASMR has been spreading like a fashion in recent years, and marketing of ASMR in fashion brands has not yet been researched actively. The purposes of this study are: first, to analyze significant meaning and value of ASMR in auditory sense field in modern days; second, to identify the characteristics of ASMR marketing through emotional commitment and nostalgia; third, to investigate the effect of ASMR marketing on consumers. Although ASMR, therefore, is used only as a mitigation tool in medical field, this study combines media and marketing with ASMR, suggests it as a tool to enhance the profitability and brand equity of fashion brand. This study would help shape the trend of new culture by collaborating ASMR marketing with fashion brand. Furthermore, a cornerstone of related research can be established by presenting a causal relationship that emotional commitment affects nostalgia and brand equity. This study will be able to offer fashion companies diverse ways to establish ASMR marketing strategy.

The practice of relationship marketing strategies is the core of the success of marketing for any kind of organizations. The study develops relevant research issues and propositions for empirical investigation based on the strategies of relationship marketing offered by Berry (1983) such as core service strategy, customization strategy, augmentation strategy, relationship pricing strategy, and internal marketing strategy. Relating to relationship marketing theory, agencies and clients are aware of in providing and taking core services, Agencies customize the relationship and augment the services to satisfy and retain their clients. Considering the account size and length of relationship agencies offer relationship pricing. All agencies maintain strong interaction among the employees and different departments as a part of their internal marketing practice.

The purpose of this study is to assess the role of marketing to the area of strategic alliances. We suggest that marketing capability – the ability to deploy resources to serve customers better- is a key determinant that facilitates value creation in strategic alliances. Specifically, we investigate the interaction effects of marketing capability on performance of strategic alliance experience and types of strategic alliances (introducing three types: SI-SF alliance, AI-SF alliance and AI-DF alliance), and whether these interaction effects are moderated by high vs. low technological industry. This study analyzed the panel data from 39 international firms and their 2,158 alliances during the period 1994 - 2014, 21 firms from computer industry (high-tech industry) and 18 firms from food industry (low-tech industry), respectively. The results indicate that the contribution of marketing capability on the relationships between alliance experience, types of strategic alliances and firm value varies with environmental contexts. First, when a firm has strong marketing capability, the effect of strategic alliance experience on firm value is greater than those of firms with low marketing capability. Also, the strength of its interaction effect is lower in high-tech industry than low-tech industry. Second, when a firm has strong marketing capability, the effects of three different types of strategic alliances on firm value are greater than those of firms with low marketing capability. However, their interaction effects to firm value were significant only in high-tech industry. Specifically, when a firm has strong marketing capability, the stock market reacts most favorably to the AI-DF alliance than those of SI-SF alliance and AI-SF alliance in high-tech industry. In contrast, even a firm has strong marketing capability, the stock market reacts favorably only to AI-SF alliance in low-tech industry. In sum, our research suggests that the interactive performance impact of marketing capability to the strategic alliance experience and the types of strategic alliances can be obtained in particular environmental contexts.

Introduction Kotler (2015) warned that, if we only pursue economic growth and revenue/profit expansion, we will end up with overconsumption and wastes, bringing serious damage to our planet. He advocated the transition from the growth-oriented economy to the steady-state economy. Steady state economy is defined as an economy that maintains desired sufficient level of throughput with the lowest feasible flows of matter and energy from production to consumption (Kotler, 2015). As Kotler mentioned, this idea is somewhat utopian as most companies are still living in the growth-oriented economy. The purpose of this research is to extend Kotler’s idea by conceptualizing a more concrete model to visualize the marketing in the steady state economy. The model consists of five major elements; customers, stakeholders, employees, suppliers and community. The authors also present twelve propositions that explain promoting factors for the marketing in the steady state economy based on the multiple case studies conducted in Japan. Literature review The steady-state economy itself is actually not a new idea in economics. For example, typical classical economists (e.g., Adam Smith and John Stewart Mill) advocated the transition to the steady-state economy after saturation of economic growth. Neo-classical economists have also postulated the concept of steady state economy with regard to the law of diminishing returns (Tellis, 2008). Many previous studies have continuously put efforts on developing theories and practices to meet with economic, social and environmental needs simultaneously, since Kotler and Zaltman (1971) proposed the concept of social marketing. Although social marketing is closely related to marketing in the steady-state economy, its ethical egotism remains a problem (Crane and Desmond, 2002). Lerman and Shfrin (2015) and Gopaldas (2015) claim positive marketing which creates value for the firm, its customers, and society at large. In short, these concepts suggest the possibility that individual, self-seeking, and short-run behaviors can be consistent with aggregate, altruistic, and long-run behaviors. Besides above exceptions, however, most marketing researchers have evaded the question: What is marketing in the steady-state economy? The purpose of our study is to develop a conceptual framework to analyze “steady-oriented” companies and their marketing strategies based on the case studies in Japan. Research methodology In order to answer the above question, we adopt qualitative heuristic approaches (Kleining, 1994), because our question has not been addressed enough in previous studies mentioned above. First, we collected primary and secondary data from various information sources including company websites, press releases, online business journals, academic case studies, public seminars, presentations at academic meetings and so on (Yin, 2014). As stated by Eisenhardt (1989), we used a theoretical sampling to identify the informants for our multiple case studies. We intentionally chose companies from different industries, locations, length of history, manufacturing technology, etc. Based on the review and data collection, we developed a basic framework and series of theoretical propositions (Yin, 2014). For our study, we selected Japanese companies respecting “sanpo-yoshi” [good for three parties] philosophy. It is a belief that business should be good for sellers, buyers, and society. In fact, positive marketing is similar to this concept of “sanpo-yoshi” which is based on the family precepts of “Ohmi region merchants” in the Edo period (1600-1857) (Ogura, 1991; Usami 2015). Our selected “sanpo-yoshi” oriented companies aim for a harmonious relationship with all the concerning stakeholders and community (see Appendix for the list of selected companies). Figure 1 identifies five key parties covered in the “sanpo-yoshi” management and shows bilateral relations between the company and the five parties. First, “sanpo-yoshi” oriented companies try to build good long-term relationships not only with their customers by selling high-quality products at fair prices, but also with suppliers by buying a stable volume of products at fair prices. In addition, some companies provide their loyal customers with special experience concerning their own brands and their suppliers with technical assistant. In return, customers feel strong loyalty to the brand and suppliers offer a stable supply of high- quality raw materials at fair prices. Moreover, “sanpo-yoshi” companies take an active interest in their employees and the community where they operate because their confidence contributes to sustainable development of the companies. Shareholders for short-term returns, however, are unlikely to give heavy weight to social activities by their investee companies. Therefore, companies whose stocks are unlisted or occupied by long-term shareholders are more favorably inclined toward “sanpo-yoshi” management. Research propositions Based on the case studies of “sanpo-yoshi” companies in Japan, we argue that the enforcement of marketing in the steady-state economy can be tied to three factors: (1) management factors, (2) competitive factors, and (3) financial factors. Within these factors, twelve research propositions are developed for testing in the future research (Eisenhardt and Gaebner, 2007). These factors and propositions are summarized in Figure 2. Management factors are divided into two subcomponents: decision-making and employment factors. First, decision-making factors basically mean that the independence of management from the investors seeking short-term profits enables the management to enforce steady-oriented marketing. The most feasible method is corporate governance by founders or his/her family, although it is not a requirement. For instance, Kagome Co., Ltd. ended the family business operation in 1996, and around 180,000 individual “fan shareholders” accounting for 55.4% (Nikkei, 2017) are supporting the management with a long-term perspective. Second, employment factors indicate that the companies are likely to enforce steady-oriented marketing when they maintain high labor productivity and excellent human resources. In particular, it is more important for companies having many female employees with accumulated experience and know-hows to prevent those employees from quitting the job because of pregnancy or child rearing. Competitive factors are associated with the conditions of the steady state economy surrounding the companies. If the companies have maintained high market share in a mature market for many years, they can afford to enforce “sanpo-yoshi” oriented marketing for sustainability. In terms of financial factors, equity ratio shows the soundness of management, which has positive effects on the enforcement of marketing in the steady state economy. Moreover, ROE measures a company’s profitability by revealing how much profit a company generates with the money which its shareholders have invested. Finally, payout ratio provides valuable insight into a company’s dividend policy. Higher payout ratio indicates that the company is sharing more of its earnings with the shareholders. Implications The findings of this research contribute to the academics by providing a new framework for the marketing in the steady state economy. Further research can empirically test the proposed model in various countries to investigate if this framework is culturally specific to Japan or not. This research also provides practical implications for managers. For sustainable business and better society, companies should keep their eyes on the five elements presented in our research. Thus we can take the very first step for the marketing in the steady state economy.

While market orientation is long evident to be a key contributor to firm performance (Narver & Slater, 1990; Jaworski & Kohli, 1993), firms now increasingly find that proactive market orientation (Narver, Slater & Maclachlan, 2004) may be more appropriate for the rapidly changing market. Not only can it contribute to new product development success, it is proposed that it can enhance the ability to market which is labeled marketing exploration (Kyriakopoulos & Moorman, 2004). In this study, we posited proactive market orientation together with the original market orientation named here responsive market orientation as essential to developing a firm’s marketing exploration capability. As marketing competences reside in the everyday routines and practice related to the marketing function, marketing exploration enables one to update the ability to perform various marketing tasks which is essential capability of the firm to get ahead of the competition. Entrepreneurial orientation is also introduced as a mediating factor between the above relationships with the argument that such posture is related to a firm’s propensity to innovate, take risk and be proactive (Lumpkin & Dess, 1996) which is related to a proactive market orientation. A survey was carried out in China and results show that proactive market orientation is positively related to marketing exploration while responsive market orientation has positive impact on marketing exploration only through entrepreneurial orientation. Marketing exploration in turn positively impact firm performance. Results of this study contribute theoretically in revitalizing the market orientation literature which has been research for almost three decades. While leading customers with a proactive market orientation is getting more salient in this rapidly changing market environment, the original market orientation cannot be ignored. Both orientations are essential to enhance firms’ ability to renew their marketing skills and routines. This is definitely more important than just coming up with new products/services as it enables firms to update its marketing knowledge and skills so is crucial to long term performance.

Technology has turned the consumer into a non-stop generator of traditional, structured, transactional data as well as more contemporary, unstructured, behavioural data. The study of consumer analytics turns on the junction of Big Data and consumer behaviour. This paper intends to test empirically the conceptual model proposed by Erevelles, Fukawa and Swayne (2016) for FB, in Portugal. A qualitative methodology is being performed, namely conducting twenty-five in-deep interviews with the current managers of FB, with the average duration of one hour. Once the 25 interviews are all carried out, they will be subsequently transcribed in full. Then, a content analysis will be held by two researchers and resorted to software NVivo, which is considered a good tool to help in theory building (Azevedo, 1998). Since the study is still at the moment of data collection through in-deep interviews, it is not yet possible to present consistent results. However, the first interviews leads to the idea that FB in Portugal do not have a structure particularly dedicated to identifying business opportunities that favor the implementation of an organized Big Data management system. It was also recognize the option of a more centralized management strategy, in anticipation the changes in the environment that can predict trends in the consumer market. Finally, it was verify that the definition of a particular profile of skills and knowledge associated with the agents involved in the collection and treatment of the inputs given by the consumers through the analysis of the Big Data, is not yet defined.

The major paradox in research in marketing: Can the researcher construct models that capture firm heterogeneities and achieve accurate prediction of outcomes for individual cases that also are generalizable across all the cases in the sample? This study presents a way forward for solving the major paradox. The study identifies research advances in theory and analytics that contribute successfully to the primary need to fill to achieve scientific legitimacy: Configurations that include accurate description, explanation, and prediction (i.e., predicting outcomes accurately of cases in samples separate from the samples of cases used to construct models having high fit validity.) The solution here includes philosophical, theoretical, and operational shifts away from variable-based modeling and null hypothesis statistical testing (NHST) to case-based modeling and somewhat precise outcome testing (SPOT). The study here provides examples of research contributing to knowledge and theory that advance prediction and control in business-to-business contexts. Shifting beyond linear model construction and symmetric tests (i.e., multiple regression analysis (MRA) and structural equation modeling (SEM)) and embracing complexity theory and asymmetric tests (i.e., constructing and testing algorithms by “computing with words,” Zadeh, (1996, 2010)) includes taking necessary steps away from examining “net effects” of variables to useful screening modeling of case configurations. Researchers embracing this shift in marketing benefit from recognizing that the current dominant logic of performing null hypothesis testing (NHST via MRA and SEM) is “corrupt research” (Hubbard, 2015) and from recognizing that predicting by algorithms via somewhat precise outcome testing (SPOT) advances business-to-business research toward achieving scientific legitimacy.

The present research is seeking to enhance their customers’ brand attitudes, especially in terms of which type of products should be their focus for customers with varying storytelling elements. Storytelling in marketing is critical for business, because it is a cornerstone for building strong relationship in the modern world. Storytelling elements also influence consumers’ emotional responses to brand. Besides, organization of information in an advertising narrative might influence the consumer's choice of an appropriate information-processing strategy (Mattila 2000), the narrative message of a story will affect consumer’s preference for a brand, thereby affects consumer’s purchase intention. However, despite some elements have been discussed in previous studies related to narratives (Chatman 1978; Papadatos 2006), we do not understand exactly why or when customers respond to stories. Therefore, to examine the storytelling effectives of different types of reversal factors, this research investigates the influence of different types of stories on brand attitudes in marketing. In sum, by studying the elements of reversal stories, this expected outcomes of this research intends to provide researchers and practitioners implications: 1. design a successful brand story can enhance corporate image and attract more consumers. 2. In practice, marketers need to combine storytelling factors with different products, and manipulate them with different weights to design the optimal advertisements or marketing campaign. 3. This study would be aroused the interesting to investigate other story elements and how these elements to affect brand attitudes.

Digital technological development has created different new possibilities. New products and services are developed to cater the needs and wants of these digital consumers (or digital natives). It has also changed the means of marketing communications. Social media has become an integral part of many people’s lives, thus social media marketing is found in the marketing strategy of every brand. Western social media platforms like Facebook, YouTube, Twitter and so on are banned in China. In their places, Weibo, WeChat, Youku and more are the main social media channels in China and thus the main battlefields of social marketing for brands entering China Market. WeChat is the largest social network in China, with over 900 million users daily. Chinese users spend an average of over 70 minutes a day using WeChat, for nearly all types of services, including booking flights, restaurant table reservation, shopping, paying bills, hailing taxi, transferring money, and posting Moments on their walls, etc. Not only that, WeChat allows companies and celebrities to create official accounts to generate content for promotional purposes. Moreover, WeChat allows one-to-one personalized interaction between brands and the users. To cater the needs of the new generation of Chinese digital natives, a mobile app eM++ was developed that creates new customer services and enables tailored fashion marketing. The eM++ app has three components. The first core component is 1Measure, which users can obtain their body measurements by skimpily taking two photographs of themselves in normal clothing anywhere and anytime. Without the involvement of expensive equipment, users can enjoy similar benefit of body scanning but more flexibility and convenience, they not only instantly receive their measurements but also have their digital body model and a shape analysis report. Based on this information, the second component of the app eShop allow users to shop fashion items currently available in different online fashion stores like ASOS, Zara, and H & M, etc. In eShop, users are suggested the right sizes to order for different fashion items, based on their measurements and shape information, and also mix-and-match recommendations. The last component is eTailor, where users can order clothing like suit jackets, pants and shirts that tailored made for them, but save the need to take body measurements in a physical store. This new digital service will first be launched in China as there is high demand on Made-to-Measure fashion and marketing through WeChat social media platform. This paper will discuss how to market this new digital service using social media like WeChat in China and consumers’ reactions to this new business model in this digital world.

This work aims to deepen how to cope with marketing challenges of XXI century, characterized by turbulent and dynamic environments. Specifically, it explores the theoretical underpinnings to develop an Agile Marketing Capability’s framework and propositions. This study performs an in-depth literature review on IT and Dynamic Marketing Capabilities to provide the features, components, functions and types of an Agile Marketing Capability. Given the extreme innovativeness of this topic in marketing realm, it represents a first attempt to understanding the Agile Marketing Capability, which requires further theoretical and empirical contributions and refinements. The framework and propositions of this research may be useful for managers and decision makers to figure out the advantages of the Agile Marketing Capabilities’ employment in current marketplaces.

Recently, flipped learning has become prevalent as a new education model in higher education. Flipped learning (FL) refers to switching and restructuring classwork and homework content, i.e., instructional multimedia concepts at home and enrichment and reinforcement in class. Flipped or inverted classes focus on activities and participation during the class time of students, who should previously watch the video materials. However, FL is different from just watching videos before classes. Video clips are not supplementary class material or even all the lectures. FL is an innovative way to change passive learners to active learners as they lead the classes and utilize teachers for guidance. The purpose of the study is to investigate how technology-driven FL works for marketing courses at the college level. In class, students are supposed to do projects as a member of a group and they also lead the class with what they have learned from video clips they watched before coming to class. FL offers student centered learning, where students can control the learning pace and can get benefits from peer learning in marketing courses.

This paper presents the findings of a survey of Turkish marketing academics undertaken between 2007 and 2016. As a follow up, replicating Erdoğan and Uzkurt’s study (2007), this study aims to accommodate the existing studies approaching the status and problems of marketing academics and add a longitudinal dimension in 2016.

Companies frequently request their customers to donate to a charitable organization at some point during the purchasing process. Especially in an online environment, companies can easily control at which stage in the customer journey consumers are asked to give to charity. The aim of this paper is to investigate how the sequence of purchase and donation requests in the customer journey influences the willingness to donate to an NGO and the willingness to pay for the company’s product. As theoretical frame, we use two related concepts of moral self-regulation stemming from behavioral economics, namely moral licensing and moral cleansing. Based on these two cognitive biases, we assume that the sequence of donation and purchase options has an influence on the money individuals are willing to spend on the product and are willing to donate to charity. Prior research on moral licensing and moral cleansing often relies on outcomes from rather artificial study designs. Studies often utilize moral/immoral decision tasks, which consumers barely ever encounter in real life settings. In line with recent calls for replicating or validating established cognitive biases in settings that are more realistic, we apply both moral licensing and moral cleansing in a setting, which closely resembles real-life situations. Hence, our study contributes to the advancement of behavioral economics by offering outcomes with a higher degree of ecological validity. Participants (N=121) were asked to indicate the maximum amount of money they were willing to donate (WTD) for an environmental organization and the maximum amount of money they were willing to pay (WTP) for a newly launched smartphone. In condition A, participants were first presented with the donation task (moral licensing); in condition B, participants were first presented with the purchase task (moral cleansing). Our results indicate that the moral cleansing effect is present. On average, participants who first indicate their WTP are subsequently more prone to donating money to an NGO. We could not observe a moral licensing effect at large.

By increasing awareness of product offers and availability in the consumer’s proximity, Location Based Marketing (LBM) increases relevance of placed advertisements. However, depending on how it is executed, such advertising can also be perceived as intrusive, irritating, or even violating consumer’s privacy. Existing knowledge does not offer clear directions for retailers, who are keen to know of LBM’s effectiveness on sales. In this paper, authors investigate the effects of LBM on application (app) driven revenues of 116 major mobile retailers from around the globe. In particular, we examine the contingency effects of the roles of device as well as privacy needs of the brand audience. Findings reveal that effects of LBM on app-based revenues vary by tactic (inbound vs. outbound), type of device (Tablet vs. Phone), and user type based on brand of app (Android vs. Apple). Overall, this research identifies critical factors for retailers to consider, in order to best monetize their location based efforts. Contributions of the analysis and managerial implications are discussed.

The home meal replacement (HMR) food industry began in 1980, and it has grown rapidly as a major food business for both consumers and the food industry since the development of industrialization and societal changes. Many researchers investigated a variety of HMR food product characteristics. On the other hand, previous studies have focused only on topics in limited study areas. Therefore, this study examined the effect of color marketing and the value of experience on the consumer behaviors. This study used a survey to collect the respondents' opinions about HMR food products. The study results showed that the characteristics of color marketing and the experience value of the HMR products influenced the consumers' attitudes. Moreover, consumers' attitudes affected their repurchase behavior. The results suggest that marketers of HMR food products should use colors that show the characteristics of products to appeal to consumers. In addition, HMR products should be developed in line with what consumers value the most; for example, consumers value their previous experience with the products and the characteristics of the products.

Introduction: To analyze the impact of marketing losses on efficiency in transacting banana in Kurnool district of SRZ in Andhra Pradesh and to assess the opinions of the farmers on the constraints in transacting banana. Research back ground, Materials and Methods: The study relies exclusively on primary information obtained from the banana farmers of Kurnool District. Purposive sampling procedure was followed for the selection of the study area. Top two mandals in the district and top two villages in each mandal are selected in accordance with the area under cultivation of banana. Probability proportion to size was followed regarding the selection of sample farmers and accordingly 60 marginal, 37 small and 23 other farmers were selected and thereby, the total sample size was 120. Result and Discussion: Three marketing channels were identified in the marketing of banana in Kurnool district viz., Producer → Local-exporter → Wholesaler → Retailer → Consumer (Channel-I), Producer → Wholesaler → Cart-vendor → Consumer (Channel-II) and Producer → Juice-holder → Consumer (Channel-III). With the inclusion of marketing losses in the price spread analysis of banana in all the three channels, the marketing costs of all the intermediaries were increased and thereby, the farmer’s share in consumer’s rupee and Net Marketing Margins of the agencies are on the decline. So, without inclusion of marketing losses, the farmer’s share in consumer’s rupee and Net Marketing Margins of all the agencies are overvalued. The higher the marketing losses, the more is the negative impact on farmer’s net selling price, net marketing margins of the intermediaries and marketing efficiency. The sample farmers are facing major problems in marketing of banana like frequent price fluctuations, unorganized marketing and lack of transportation facilities on priority basis. Suggestions: It is suggested to educate the farmers regarding the optimum maturity index for harvest, use of mechanical harvesters, proper placement of fruits during storage and ripening, better packaging and cushioning technologies to absorb shocks during transportation, strengthening of storage facilities and transport facilities, encourage co-operative marketing etc., to promote marketing efficiency of banana in the study area.

이 연구는 농구 경기장내 마케팅의 효용성을 확인하기 위해서 마케팅의 여러 연구 기법들 중 시선추적 기술을 이용하여 동공이 확장 되었을 때의 시선 관찰 및 관심도를 측정하고 비교 분석하였다. 특히 동공이 확장된 구간을 산출하기 위해 유효테이터를 중심으로 동공의 크기가 2시그마 범위 상위 2.275%일 때의 구간별 데이터를 정리하고 이전 연구에서 산출된 3시그마의 상위 0.135%일 때의 구간별 데이터와 전체 유효 데이터를 주시 빈도에 따른 변곡점으로 구분하여 분석하였다. 또한 전체 유효 데이터와 동공의 크기가 유의미하게 커졌다고 판단되는 범위들 간의 상관도를 분석하였다. 그 결과 가장 시선이 많이 머무른 구간과 동공이 크기가 유의미하게 커진 부분은 완전히 일치하지는 않았으나, 전체 유효 데이터와 동공크기 2시그마 상위 데이터의 상관분석은 .805로 가장 높은 상관관계를 나타내었으며, 동공크기 2시그마 상위 데이터와 동공크기 3시그마 상위 데이터의 상관분석은 .781의 상관관계를 보였고 전체 유효데이터와 동공크기 3시그마 상위 데이터 상관분석은 .683의 상관관계를 보였다. 따라서 동공의 크기가 확장 되어진 구간과 시선추적 데이터에서 시선이 많이 머무른 구간이 유사함을 알 수 있었으나, 동공의 크기가 유의미하게 확장되었다고 판단되어지는 구간의 데이터 일수록 전체 데이터와의 상관도가 떨어지는 것을 알 수 있었다.

This contribution focuses on fitting between heuristic rules and the task environment in business to business market. The subject is about evidence-based business decision-making process in the business actors‟ perspective. The empirical setting of fashion business to business markets is considered, focusing on adaptive behavior situated in the interaction processes in customer-supplier relationships emerging from empirical researches. The paper considers two key aspects of the process: (1) the origin and diffusion of the heuristic rules adopted by the actors (adoption) and (2) the fields in which the rules can be used (scope) are discussed. The central research questions are: How heuristics are adopted and diffused in the fashion business to business environment (adoption)? How wide is the context in which the heuristic rule is applied by the actors (scope)? Fashion business to business markets is our setting of analysis. First of all we have to define what are heuristics. Studies of decision-making processes generally divide them into two, mutually exclusive types: rational decision making versus rule-based decision making (March 1994). In the case of rational decision making the approach is to evaluate the consequences of any decision in terms of either pure (maximizing) or limited rationality (satisficing). In rational decision making, consequential choices are adopted, hence an evaluation of preferences and expectations is necessary and decisive to the final outcome. Instead, in rule-based decision making, what counts most is following the rules, the aim being to satisfy and/or define an identity. In rule-based decision making, rules deemed appropriate are adopted, and what then counts are the rules and the identity, which form the basis for taking well-thought-out actions. Rationality requires less „specific‟ knowledge, since it relies on abstract rules. In this approach, following the rules may instead involve understanding them in relation to the specific context in which they are to be applied. The relations between heuristics and interaction in business networks provide a means to study other aspects of the evolution of the relationship between enterprise and business market environment (Artinger et al. 2015; Guercini et al. 2014, 2015). In fact, the network of relationships the actors adopt images of the relationships to be cultivated with the precise aim of formulating an effective representation of the market, enable other phenomena to be examined, not so much in their qualitative aspects, but rather as regards their importance as perceived by business decision-makers. In light of these relations between heuristics and setting, the essential properties of heuristics that we propose to examine herein are: (1) specificity, intended as the field of application and setting in which any heuristic rule is generated and routinely applied; (2) convergence, which concerns how widespread, at least in appearance, any given heuristic rule is amongst actors in a given market setting (Guercini 2012). In other terms, the heuristics of entrepreneurial marketing can be considered specific to this particular setting, in that they concern the degrees to which such rules are generated, are successful, and are confined to the specific setting or context. Looking more closely at the two above-mentioned properties, specificity is high when, for instance, a heuristic refers to a specific, circumscribed matter (for example assessing the opportune moment to purchase certain semi-finished goods) and finds no application in any other setting. Conversely, a rule‟s degree of specificity is low when its field of application is broad: a rule may, since its inception, be applicable to many different fields, or it may be initially applicable only to a limited range of decisions, but subsequently find fruitful application in other, broader matters (Guercini et al. 2014). The degree of convergence instead regards the frequency with which a given heuristic rule is adopted within a population, a community or, in our case, by entrepreneurs. Such adoption may only be apparent, in the sense that what seems to be a single rule may actually represent various, subtly different rules for each individual, given the supremely personal, individual nature of fine mental processes. Evaluating the degree of convergence of a given heuristic within a population obviously involves measuring its dissemination in terms that are recognized as such by the researcher. Convergence is high for rules adopted by everyone, or at least by a large segment of the population in question. Other heuristic rules are instead developed by individuals in forming their personal judgments and seem to be unique to such individuals, in that they do not arise in others. This implies that heuristic rules may be the source of a relative advantage for the entrepreneur, in so far as the heuristic in question proves itself successful, that is, an element that determines a good choice when other methods are ineffective or may even produce negative effects. Specificity and convergence are thus general properties of the heuristics adopted by entrepreneurial marketers, and are strongly tied to the interpersonal relationships and consequent interactions within business decision-makers‟ personal contact networks (Guercini et al. 2015). Heuristic procedures are easily detectable in the descriptions of enterprise top management of the processes they utilize in assessing possibilities and forming judgments. Some of these procedures are highly abstract and applicable to various different settings, for instance, regarding problems typically facing firms as well as purchase decision-makers. In the following we shall briefly present some of the heuristics encountered in our research; a more detailed description and more rigorous modeling of their characteristics will be addressed in future work. Let us consider now a fashion business to business settings, and more precisely the situation in which the decision-maker of a fashion firm is tasked with formulating a judgment regarding the best choice of colors to keep up with the fashion trends of coming seasons. From interviews with representatives of styling divisions, what repeatedly emerged was their conviction that “strong” colors periodically and forcefully come back in fashion. Some even went so far as to specify the duration of this cycle: seven years – that is, the same as the number of strong colors –, which also turns out to be coherent with long-standing observations on the limits of human cognitive function (Miller 1956). No clearly defined explanation was offered of the reasons for, or origins of, this rule, although some hypotheses were advanced: simply that a sort of “law” was first noticed and then became consolidated as its predictions were repeatedly verified over time. A second example is that of the textile firm entrepreneurial marketer called on to provide a forecast of the fabrics that will be most widely utilized in the market over the next few seasons. From the marketer‟s perspective, the price of natural fibers is one element on which to base any judgment regarding future fabric usage trends. Clearly, there are technical time constraints on the purchasing of fibers for spinning, which must naturally precede the sale of the fabric, and may even take place already in the stage of drafting the fabric sample book. Thus, a specific assessment rule is applied: those fibers whose price increases during certain periods of the year are deemed to be those that will be in most widespread use the following season. However, for some years now this rule has begun to seem less reliable than in the past. Workers in the sector speak of greater complexity in the wool market, where supply factors, such as international manufacturers‟ policy of stepping up fiber tops production, have had the effect of upsetting traditional market dynamics. The heuristic rules in these examples can be regarded in the perspective of the attributes they present, in particular, their “specificity” (or field of application) and their “convergence” (or degree of dissemination). A rule that is highly specific to a certain application setting looses much of its value when applied to judgments other than the one for which it has been developed. On the other hand, a rule that is in widespread use in many firms can hardly become a distinctive resource for entrepreneurial marketers. The widespread dissemination of a given heuristic rule amongst the rules “in stock” or the “adaptive toolbox” of firms may influence its effectiveness. Indeed, the fact that a rule is shared by many may justify its adoption in light of the validity that the decision-makers seem to attribute it, even if it is less probable that its use impart a distinctive competitive advantage. The examples of heuristic processes presented in the foregoing seem to enjoy different degrees of specificity and convergence. The association of certain heuristics to specific settings takes on the significance attributed to them by Simon (1979), as rules bound by the task environment and not clearly referable to relatively abstract mechanisms or endowed with autonomy. Mechanisms applicable to less specific settings are instead referable to the heuristics described by Tversky and Kahneman (1974), including representativeness, availability and adjustment/anchoring, identified in relation to the possible distortions and errors associated to them. The heuristics modeled by “building blocks” by Gigerenzer et al. are seemingly cannot be captured by a few categories, given the variety of formal models identified. Briefly, these include (1) recognition heuristic; (2) fluency heuristic; (3) take-the-best; (4) tallying; (5) satisficing; (6) 1/N equality heuristic; (7) default heuristic; (8) tit-for-tat; (9) imitate the majority; (10) imitate the successful; (11) hiatus heuristic; (12) fast and frugal trees; (13) mapping models; (14) averaging the judgment; (15) social circle; (16) moral behavior (Gigerenzer and Gaissmaier 2011, Gigerenzer and Brighton 2009). In the approach proposed by Gigerenzer and his “adaptive behavior and cognition program”, formal models are necessary to evaluate the real contribution of heuristics to cognition, decision-making and behavior. For details, refer to the publications of the adaptive-behavior-and-cognition program (Gigerenzer 2007; Todd and Gigerenzer 2012). Rule-based decision making implies the availability of rules to follow and consistency with an established identity as the driving factors in the decisionmaking process. If the rules satisfy an ecological rationality approach, are such rules then the result of a process of rules selection with which the decision makers are endowed innately or they are formed through a process of learning? And, if the latter is true, what are the characteristics of the decision-making process during the stage that the rules formation schemes are more open? And lastly, when the rules have already been defined, are they necessarily stable or can they be questioned and, if so, in what terms? These research questions are part of the future research stimulated by this first exploration based on case study research.