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The purpose of this paper is to explore the effects of online recommender systems (RS) on three types of diversity: algorithmic recommendation diversity, perceived recommendation diversity and sales diversity. The analysis distinguishes different recommendation algorithms and shows whether user perceptions match the actual effects of RS on sales.

An online experiment was conducted using a realistic shop design, various recommendation algorithms and a representative consumer sample to ensure the generalizability of the findings.

Recommendation algorithms show a differential impact on sales diversity, but only collaborative filtering can lead to higher sales diversity. However, some of these effects are subject to how much information firms have about users’ preferences. The level of recommendation diversity perceived by users does not always reflect the factual diversity effects.

Recommendation and consumption patterns might differ for other types of products; future studies should replicate the study with search or credence goods. The authors also recommend that future research should move from taking a unidimensional measure for the assessment of diversity and employ multidimensional measures instead.

Online shops need to conduct a more comprehensive assessment of their RS’ effect on diversity, taking into account not only the effects on their sales distribution, but also on users’ perceptions and faith in the recommendation algorithm.

This study offers a framework for assessing different forms of diversity in online RS. It employs various recommendation algorithms and compares their impact using not just one but three different types of diversity measures. This helps explaining some of the contradictious findings from the previous literature.

Ubiquitous digital technologies are driving organisations to embrace non-traditional digitally transformed business models incessantly. Heterogeneous literature contributions have resulted in a spur in the research related to business transformation driven by digital technologies in recent years; consequently, the research under the digital transformation (DT), even though becoming a hotspot, remains very fragmented. The authors endeavour to holistically present the literature's intellectual structure under DT as a concept, its evolving journey and the emerging research streams in the business and management domains using the techniques of bibliometric analysis.

By performing bibliometric analysis on 234 research articles published over the last 20 years in the DT domain, retrieved from Thompson Reuters Web of Science ^TM, this study culls out thorough insights from the citation, co-citation and keyword analysis. Further emerging research streams were evaluated using VOSviewer software.

The study depicts an overall incremental trend of year-on-year publications, authors' performance, publication journals, associated institutions and research driving countries, along with key insights from co-citation network analysis. Furthermore, the study evaluates four research areas – organisational impacts, applied applications and insights, operational processes and social aspects, comprising eighteen research streams that comprehensively cover-up research under the DT domain.

The study contributes to the literature of DT by amalgamating the status of the present research, but more importantly, by deriving the research areas and research streams, which can be further expanded by researchers as future research streams.

For the practitioners, the study aims to act as a ready reckoner repository with practice-oriented literature references to facilitate them building knowledge and taking effective strategic decisions to harness the benefits of DT more proficiently.

This study illustrates the bibliometric structure of the DT literature and presents insights from the growth of the literature year-on-year.

Talking about smart cities also entails talking about new ways of mobility. Various concepts compete for reimagining future mobility, most prominently connected cars, robo taxis, and other forms of shared mobility. New digital technologies, changing customer requirements, but also new competitors are dynamically affecting previous market logics. To stay future-proof in this new world of mobility, the automotive sector, which is an important nucleus for developing such mobility solutions, is currently undergoing fundamental digital transformation processes. Established car manufacturers have to find their path to choose out of the many possibilities on the rise. Against this backdrop, they face the major challenge to find an answer to the question: Who are we and who do we want to be in the future? Therefore, we argue that organizations’ digital transformation is highly entangled with questions on organizational identity and discuss digital transformation as a potential identity threat for established organizations.

We begin this chapter by introducing the concept of organizational identity. Afterward, we will continue with applying it to the practical context of car manufacturers: After depicting the major trends of digitalization in the mobility and automotive sector, we will focus on the digital transformation processes of established automotive companies and discuss their impact on organizational identity. Empirical illustrations of the Volkswagen case depict our theoretical considerations.

We provide theoretical ideas for better understanding the impact of digital transformation on organizational identity, as well as suggestions for practitioners concerned with organizations’ digital transformation processes.

This chapter aims at providing an understanding of the research and devlopment (R&D) process in the pharmaceutical industry, by exploring the methodological challenges and approaches in the assessment of the determinants of innovation in the pharmaceutical industry. It (i) discusses possible methodological approaches to model occurrence of events; (ii) describes in detail competing risks duration models as the best methodological option in light of the nature of pharmaceutical R&D processes and data; (iii) concludes with an estimation strategy and overview of potential covariates that have been found to correlate with the likelihood of failure of R&D pharmaceutical projects.

This paper aims to highlight the importance of the study of emotions in the successful implementation of information systems projects in developing countries. This paper studies one emotion, namely, anger, and discusses its detrimental impact on information system interventions. This paper suggests that controls are necessary for the management of anger emotion.

This research study explores the case of an Indian agricultural marketing board that implemented an information systems project on the integration of agricultural markets. The data was collected through semistructured interviews from four stakeholder groups. This paper uses a qualitative approach and analyzes the data using thematic analysis. Pierre Bourdieu’s theory of practice is used to study emotions in the case.

This paper finds that anger is the prominent emotion displayed at public sector organizations in India. This paper permeates all aspects of public organizations and has a detrimental impact on successfully implementing the information systems projects. Successful implementation of the information systems (IS) projects in India will need to have a framework for managing the anger emotion.

To the best of the authors’ knowledge, this is the first paper within the information systems discipline that focuses on anger and its detrimental impact on successful IS interventions. A unique contribution of this paper is a framework for the study of emotions. This paper also introduces the idea of controls for emotional management.

This study aims to examine the current state of literature on structural equation modeling (SEM) studies in “cloud computing” domain with respect to study domains of research studies, theories and frameworks they use and SEM models they design.

Systematic literature review (SLR) protocol is followed. In total, 96 cloud computing studies from 2009 to June 2018 that used SEM obtained from four databases are selected, and relevant data are extracted to answer the research questions.

A trend of increasing SEM usage over years in cloud studies is observed, where technology adoption studies are found to be more common than the use studies. Articles appear under four main domains, namely, business, personal use, education and health care. Technology acceptance model (TAM) is found to be the most commonly used theory. Adoption, intention to use and actual usage are the most common selections for dependent variables in SEM models, whereas security and privacy concerns, costs, ease of use, risks and usefulness are the most common selections for causal factors.

Previous cloud computing SLR studies did not focus on statistical analysis method used in primary studies. This review will display the current state of SEM studies in cloud domain for all future academics and practical professionals.

This paper aims to examine the sources of consumer‐brand relationship investment, specifically isolating the sources and outcomes of communality and exchange relationship characteristics.

The paper utilizes a survey‐based empirical study and subsequent structural modeling approach to test a series of hypotheses concerning how brand performance perceptions influence the development of consumer relationship connections.

The paper finds that perceptions of product performance and service quality influence the development of brand reliability and brand fidelity respectively. Similarly, brand reliability is the primary source of an exchange orientation, while brand fidelity leads to communal brand connections and, ultimately, consumer‐brand relationship investment.

This research is limited by the scope of the sample, fast food restaurants. Future research should explore consumer relationship investment in other product and service categories in order to determine the extent to which relationship development processes vary by product category.

Brands that wish to develop enduring relationships with their customers must understand the relative impact of both personal and functional (exchange) relationship characteristics on the development of relationship investment. Each has a specific role to play and the roles of each vary at different relationship stages.

This research offers at least three significant contributions to the marketing discipline and marketing practice. First, it introduces constructs and associated scales for brand fidelity, communality, exchange and relationship investment. Second, it demonstrates how brand service and product performance differentially contribute to two dimensions of consumer‐brand relationships. Finally, it describes three discrete relationship development stages that play specific roles in the evolution of consumer‐brand relationship investment.

Given its importance in the brand management of service firms, the present research initiative primarily concerns the investigation of the formation process of consumer-brand relationships in the service industry. By considering a chain of effects’ model, this paper aims to integrate two brand commitment paradigm’s perspectives with service evaluation theory, representing the attitudinal and behavioral aspects of the relationship building process, to better explain the way consumers relate to a service brand. The proposed conceptual model is tested in the context of mobile broadband internet services.

A survey of 573 customers of mobile internet services was conducted using a structured questionnaire with established scales. Data were analyzed with partial least squares structural equation modeling.

The results indicated that brand loyalty is determined by relationship commitment, which, in turn, is influenced by the consumer-brand relationship components – trust, satisfaction, investment size and quality of alternatives – as well as by the service brand’s perceived value. Finally, the relationship quality components of the brand, trust and satisfaction to a large extent, and investment size to a lesser extent, mediate the relationships between service brand evaluation and brand commitment.

The sample is industry-specific, and this may affect generalizability of findings. Also, the cross-sectional design adopted does not reflect temporal changes.

From a practical point of view, the findings suggest that providers can improve their loyalty figures through the establishment of strong consumer-brand relationships as a result of the development and delivery of high quality, valuable services and other relationship-building tactics that support the consumer-brand binding.

Although there are previous studies that extend either the relationship investment model or the commitment-trust theory with the service evaluation theory, the proposed model is the first to combine the previous three research streams into one causal chain model, to explain the development and flow of events in the consumer-brand relationship process toward brand loyalty.