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Case research has typically been criticized as lacking objectivity and methodological rigor. It has, therefore, taken a back seat to more quantitative methods like survey and experimental methods when conducting business-to-business research. However, many of the issues of importance to business-to-business research take place in a rich and theoretically important context. When a phenomenon of interest takes place within a complex context, case research is often the most appropriate means to pursue investigation. Thus, in order to enhance the legitimacy of case research, a systematic case methodology is developed that addresses the traditional criticisms. Central to this method are three critical aspects. First, all research must begin with theory development. Second, the research design must be logical and systematic. Third, findings must be independently evaluated. By designing research projects around these aspects, case studies can provide marketers with one more tool to investigate business-to-business marketing, its processes, and the complex environment in which it operates. Specifically, case research is thought to be beneficial is studying network systems, international business-to-business marketing, and the industrial new product development processes.

This article reviews the quantitative marketing literature on artificial intelligence (AI) through an economics lens. We apply the framework in Prediction Machines: The Simple Economics of Artificial Intelligence to systematically categorize 96 research papers on AI in marketing academia into five levels of impact, which are prediction, decision, tool, strategy, and society. For each paper, we further identify each individual component of a task, the research question, the AI model used, and the broad decision type. Overall, we find there are fewer marketing papers focusing on strategy and society, and accordingly, we discuss future research opportunities in those areas.

Geotechnologies have a long tradition in several areas of society and research. The recent development of the ‘Internet of Everything’ (IoE) and Geographic Information Systems (GIS) technologies opened several doors to the contribution of tourism. Emergent technologies contributions to tourism and planning such as web mapping, augmented reality (AR), crowdsourcing and crowdsensing are relatively recent, and there is a lack of research around their potential for Creative Tourism enhancement. For example, combining web mapping with AR or storytelling can be an excellent contribution to operators, planners and tourists. For research purposes, new opportunities are open, particularly by integrating community-shared data. It is well known for the popularity of social networks, the exponential growth of photo sharing, but few studies have been implemented to understand their contribution to research. This chapter focuses on emerging geotechnologies concerning cultural mapping, Creative Tourism and sustainability. Since it is a new growing niche, more research is needed to develop and understand the potential of new approaches. Besides traditional techniques such as quantitative (e.g. surveys) and qualitative ones (e.g. interviews, focus groups and world café), it revises the role of geotechnologies on Creative Tourism development and growing activities. Results from case studies from Europe are analysed.

The utilization of mobile fitness applications (apps) is on the rise, making user retention and engagement critical factors in the commercial success of these apps. However, research in this area is limited and fragmented. The objective of this study is to conduct a thorough review of the available literature on the effects of digital innovations, gamification, artificial intelligence (AI) and machine learning (ML) on user engagement with fitness mobile apps. The findings reveal the relationships between gamification, the use of AI/ML and technology adoption on user engagement, interaction and intent to use. Additionally, the study highlights the importance of understanding how user experience, customer experience and brand experience impact customer retention and contribute to the overall success of mobile fitness apps. Furthermore, the study also identifies the gaps in the current research and recommends further studies to be conducted in these areas. Future research is encouraged to incorporate elements from the experience domains to provide consumers with engaging interactions and improve retention and commercial success for mobile fitness apps.

The objective is to extend the concept of purse parties introduced by Gosline (2009) and to explore the phenomenon of counterfeit consumption through the in-home “purse parties” channel. The authors seek to reveal themes from the depth interviews and build a consumer typology reflecting attitudes toward purse parties and counterfeit luxury products.

The method is a qualitative phenomenological approach. Authors assessed attitudes toward purse party attendance and counterfeit goods – along with any subsequent behavioral intentions or behaviors. Authors addressed the objective using depth interviews among 28 women.

Findings included five emerging themes: distinctness of in-home consumption settings, obligatory attendance, social engagement, curiosity, and disregard for legalities of counterfeit consumption/disdain for purse parties.

The sample primarily consists of female colleges students and is not representative of all consumers. Due to social desirability bias and the controversial nature of counterfeit consumption, informants may have struggled to provide honest responses.

Research implications suggest potential increases in purse party events and consumption due to informant’s blatant disregard for the legalities of the practice, and interests in social engagement, intimacy (exclusivity), and curiosity.

The main contribution is a typology representing four types of purse party consumers: loyal, curious/social, skeptic, and disengaged. This proposed typology stems from the aforementioned themes uncovered. Further, authors identify the social implications of in-home purse parties and underscore the significance of an under-investigated purchase channel.

Mobile marketing, the two- or multi-way communication and promotion of an offer between a firm and its customers using a mobile medium, device, platform, or technology, has made rapid strides in the past several years. Mobile marketing has entered its second phase or Mobile Marketing 2.0. The surpassing of desktop by mobile devices in digital media consumption, diffusion of wearable devices among customers, and an overall integration and interconnectedness of devices characterize this phase. Against this backdrop, we present a synthesis of the most recent literature in mobile marketing. We discuss three key advances in mobile marketing research relating to mobile targeting, personalization, and mobile-led cross-channel effects. We outline emerging industry trends in mobile marketing, including mobile app monetization, augmented reality, data and privacy, wearable devices, driverless vehicles, the Internet of Things, and artificial intelligence. Within each extant and emerging area, we delineate the future research opportunities in mobile marketing. Finally, we discuss the impact of mobile marketing on customer, firm, and societal outcomes.

It is seen that emotional intelligence, which is the subject of research in many disciplines, especially psychology and social sciences, is one of the prominent concepts. Emotional intelligence has become a sought-after feature especially for today's leaders. It is possible to say that emotional intelligence is an important feature for leaders in the energy sector as well as for leaders in other fields. This study aims to determine how and to what extent emotional intelligence has an effect on leadership characteristics in today's conditions where the need for leadership is increasing. In this study, it is aimed to reveal the effects of emotional intelligence levels of managers in the energy sector on leadership. For this purpose, hypotheses have been developed, and a research has been conducted on managerial employees in an enterprise operating in the energy sector in order to test the hypotheses. In the study, the effects of emotional intelligence dimensions such as optimism, use of emotions, and evaluation of emotions on leadership were measured by analyzing the data obtained as a result of the questionnaire application. SPSS package program was used for statistical analysis of the data. According to the results of the research, it was determined that effective leadership increased as optimism/mood regulation increased. Similarly, as the evaluation of emotions increased, effective leadership increased.

Annotation is a practice that is familiar to many of us, and yet it is a practice so natural that it is hard to pin down its characteristics, to find where its edges are, and identify what it does for us. In this piece, we use reflections on the practices of annotation in four fields of work: academia, software engineering, medical sonography and visual art as a point of departure to theorise annotation as a set of practices that bridge reading, writing and thinking. We think about annotation being performative and consider what and how it brings into being. Revealing hidden practices in our working lives, such as annotation, helps us to understand how knowledge comes to be created, disseminated, legitimated and popularised. To this end, we make the practices of annotation involved in writing the present piece visible in an effort to write differently in management and organisation studies, unpicking and exposing it as ever dialogical and unfinished.