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This case applies a stakeholder analysis to examine the trade-offs between the firm’s strategy and the interests of different stakeholder groups. A PESTEL analysis supports an evaluation of the firm’s situation. Consumer behavior theories on psychological ownership and territoriality offer a framework for analyzing the conflicts that arise from the inhabitants’ protests.

This case relies on secondary sources, including news reports, social media sites and company websites. This case has been classroom tested with undergraduate students in a strategic management course in January 2019 at the University of Cologne, Germany.

In November 2016, Google announced its intentions to rent a building in the Kreuzberg district of Berlin to open a Google Campus, a business incubator for tech start-ups that would offer entrepreneurs support, workshops and access to networks. Following the announcement, dissatisfied local communities organized protests, in which leaders complained that “It is extremely violent and arrogant of this mega-corporation, whose business model is based on mass surveillance and which speculates like crazy, to set up shop here” (Business Times, 2018). Berlin’s Government supported the Google Campus plan; inhabitants rejected it with fierce and persistent protests. In face of this challenge, was it still possible for Google to continue its plans in Berlin?

This case qualifies for use in strategic management classes at undergraduate and MBA levels. Its focus aligns well with stakeholder analyses, PESTEL analyses and business strategy. In addition, for courses on organizational communications or public relations, this case provides a way to explore the relationship between Google and its stakeholders, especially protesters, in detail. Moreover, this case is well suited for consumer research and public policy courses (e.g., transformative consumer research) centered on discussions of territoriality.

This study aims to explore the extent to which customer orientation and creative benefits offered by a firm may weaken rather than strengthen customer engagement. In doing so, it sheds new light on how customer orientation and creative benefits may facilitate rather than hinder engagement by customers.

A field study provides a test of the proposed effects in a hedonic consumption setting with 1,703 customers of an online dating service. Furthermore, an experimental study with 277 executives in a functional consumption setting (new mobile app) helps affirm the robustness of the field study findings.

This research theorizes and examines how communal relationship norms between customers and a firm, along with customers’ psychological empowerment, mediate the effect of customer orientation and creative benefits on customer engagement. A provocative finding of the study is that communal relationship norms help boost, whereas psychological empowerment reduces, the effects of both customer orientation and creative benefits on customer engagement.

The research examines different relationship norms and how they can become integral to customer–company relationships; this perspective helps reveal the underlying dynamics. It contributes to the literature on customer engagement by theorizing and demonstrating the link between customer orientation and customer engagement, two central constructs in the marketing literature. It theorizes and demonstrates that providing creative benefits brings about a direct competitive advantage for the product itself, and acts as a significant variable that explains the company−customer relationship.

The findings highlight the advantages and challenges associated with encouraging customer engagement. First, they suggest that companies emphasize their customer orientation and creative benefits. Second, managers should try to minimize the possible process of raising customers’ psychological empowerment while maximizing the impact of communal relationship norms.

This study identifies psychological empowerment as a key reason customer-oriented companies that provide creative benefits still struggle to engage their customers. It also suggests viable tactics to overcome barriers to enhanced customer engagement, such as by minimizing the effects of customers’ psychological empowerment while maximizing the impact of their perceived communal relationship norms.

This study aims to analyse the trend of publication in the field of psychological ownership (PO) in marketing by looking at the previous research papers. The research pinpoints the key concepts, methodology, analytical approach and the structure of PO that could open up future research path in this area of research.

This paper provides a bibliometric analysis of PO in marketing by using performance analysis and science mapping with data extracted from Scopus database using VOSviewer software.

Results show the trend of publications in the field of PO and found out the main themes related to the PO and also provide future research avenues for further exploration by scholars.

The study could help researchers, firms and marketers to predict functioning of customer’s mind and their decision-making, thus enabling organizations to create a strong targeted marketing strategy to attract and engage customers.

The present study provides a bird’s view of psychological ownership in marketing context by applying bibliometric analysis tool. Also, the rigorous literature investigation links and integrates isolated diverse knowledge of PO that aids in developing meaningful new insights for firms and marketers.

This paper aims to determine the impact of perceived virtuality on team dynamics and outcomes by adopting the Input-Mediators-Outcome (IMO) framework. Further, it also investigates the mediating role of team processes and emergent states.

The authors collected survey data from 315 individuals working in virtual teams (VTs) in the information technology sector in India using both offline and online questionnaires. They performed the analysis using Partial Least Squares Structural Equation Modelling (PLS-SEM).

The authors investigated two sets of hypotheses – both direct and indirect (or mediation interactions). Results show that psychological empowerment and conflict management are significant in managing VTs. Also, perceived virtuality impacts team outcomes, i.e. perceived team performance, team satisfaction and subjective well-being.

The interplay between the behavioural team process (conflict management) and the emergent state (psychological empowerment) was examined. The study also helps broaden our understanding of the various psychological variables associated with teamwork in the context of VTs.

Findings from this study will aid in assessing the consequences of virtual teamwork at both individual and organisational levels, such as guiding the design and sustainability of VT arrangements, achieving higher productivity in VTs, and designing effective and interactive solutions in the virtual space.

The study examined the interplay between behavioural team processes (such as conflict management) and emergent states (such as psychological empowerment). The study also theorises and empirically tests the relationships between perceived virtuality and team outcomes (i.e. both affective and effectiveness). It may serve as a guide to understanding team dynamics in VTs better.

This exploratory study attempts to enhance the current understanding of the research and practice of VTs within a developing economy.

Service robots are now an integral part of people's living and working environment, making service robots one of the hot topics for service researchers today. Against that background, the paper reviews the recent service robot literature following a Theory-Context-Characteristics-Methodology (TCCM) approach to capture the state of art of the field. In addition, building on qualitative input from researchers who are active in this field, the authors highlight where opportunities for further development and growth lie.

The paper identifies and analyzes 88 manuscripts (featuring 173 individual studies) published in academic journals featured on the SERVSIG literature alert. In addition, qualitative input gathered from 79 researchers who are active in the service field and doing research on service robots is infused throughout the manuscript.

The key research foci of the service robot literature to date include comparing service robots with humans, the role of service robots' look and feel, consumer attitudes toward service robots and the role of service robot conversational skills and behaviors. From a TCCM view, the authors discern dominant theories (anthropomorphism theory), contexts (retail/healthcare, USA samples, Business-to-Consumer (B2C) settings and customer focused), study characteristics (robot types: chatbots, not embodied and text/voice-based; outcome focus: customer intentions) and methodologies (experimental, picture-based scenarios).

The current paper is the first to analyze the service robot literature from a TCCM perspective. Doing so, the study gives (1) a comprehensive picture of the field to date and (2) highlights key pathways to inspire future work.

The objective of this study is to provide a systematic review of the literature on artificial intelligence (AI) in customer-facing financial services, providing an overview of explored contexts and research foci, identifying gaps in the literature and setting a comprehensive agenda for future research.

Combining database (i.e. Scopus, Web of Science, EBSCO, ScienceDirect) and manual journal search, the authors identify 90 articles published in Australian Business Deans Council (ABDC) journals for investigation, using the TCCM (Theory, Context, Characteristics and Methodology) framework.

The results indicate a split between data-driven and theory-driven research, with most studies either adopting an experimental research design focused on testing the accuracy and performance of AI algorithms to assist with credit scoring or investigating AI consumer adoption behaviors in a banking context. The authors call for more research building overarching theories or extending existing theoretical perspectives, such as actor networks. More empirical research is required, especially focusing on consumers' financial behaviors as well as the role of regulation, ethics and policy concerned with AI in financial service contexts, such as insurance or pensions.

The review focuses on AI in customer-facing financial services. Future work may want to investigate back-office and operations contexts.

The authors are the first to systematically synthesize the literature on the use of AI in customer-facing financial services, offering a valuable agenda for future research.

Artificial intelligence (AI) has become a pivotal technology in both marketing and daily life. Despite extensive research on the benefits of AI, its adverse effects on customers have received limited attention.

We employed meta-analysis to synthesise effect sizes from 45 studies encompassing 50 independent samples (N = 19,503) to illuminate the negative facets of AI's impact on customer responses.

Adverse effects of AI, including privacy concern, perceived risks, customer alienation, and uniqueness neglect, have a negative and significant effect on customers' cognitive (perceived benefit, trust), affective (attitude and satisfaction) and behavioural responses (purchase, loyalty, well-being). Additionally, moderators in AI (online versus offline), customer (age, male vs. female), product (hedonic vs. utilitarian, high vs. low involvement), and firm level (service vs. manufacturing) and national level (individualism, power distance, masculinity, uncertainty avoidance, long-term orientation) moderate these relationships.

Our findings inform marketing managers about the drawbacks of utilising AI as part of their value proposition and provide recommendations on how to minimise these effects in different contexts. Additionally, policymakers need to consider the dark side of AI, especially among the vulnerable groups.

This paper is among the first research studies that synthesise previous research on the dark side of AI, providing a comprehensive view of its diminishing impact on customer responses.

Despite luxury's increasing globalization and broadening scope via digitalization and new markets, the intellectual structure of the overall research corpus remains tenuous. This work therefore aims to provide an overview of published work on international luxury marketing and to contribute to a better understanding of the research area.

Using a systematic approach, 1151 items (papers) were retrieved and 181 selected from the international luxury marketing field published before 2019. These items were analyzed by using various bibliometric techniques to identify the most productive countries, journals, influential authors, papers and research clusters.

Although most of the outputs originate from business, management and marketing journals, other disciplines also research this topic. The analysis reveals an emerging field, with 85% of the published papers appearing between 2010 and 2018, which are primarily the output of US- and UK-based authors and none of whom dominates the field. The three identified keyword clusters are (1) consumers and consumption (2) tools and (3) core themes.

This article contributes to our understanding of the evolution, current status and research trends of published research on international luxury marketing by presenting a mapping analysis and proposing future research directions.

This is the first bibliometric mapping analysis of research on the topic from its conception to 2019. It contributes insights from different research disciplines, adds to the categorization of the international luxury marketing literature and provides promising future research directions in terms of research areas and strategies.

The partial least squares structural equation modeling (PLS-SEM) approach for construction management (CM) scholars has become the preferred approach for its capability of assessing the complex relationship and relaxed normality and sample size assumptions. This paper systematically maps the structure of knowledge about PLS-SEM in CM using bibliometric analysis. Also, the study employs meta-analysis to explore how data and model characteristics, model evaluation and advanced modeling techniques have been utilized in the CM domain.

This study integrated two methods: bibliometric analysis on a sample of 211 articles identified using the PRISMA framework and meta-analysis on 163 articles identified based on the availability of full-length articles and relevant information.

The results revealed the leading knowledge formation entities (countries, institutions, authors, sources and documents). Also, the study employs full content analysis to identify six research themes, and meta-analysis is used to explore the use of PLS-SEM based on the following criteria: (1) reasons for using PLS-SEM in CM, (2) data characteristics, (3) model characteristics and evaluation and (4) use of advanced modeling and analysis techniques. Further, the study uses regression analysis and identifies “advanced modeling and analysis techniques” as the critical feature responsible for the publication in a journal with high scientific prestige. Finally, the study presented the comprehensive guidelines to be used by construction management scholars who wish to use PLS-SEM in their research work.

To the author’s knowledge, it is the first study of this kind to use PLS-SEM in CM research. This study provides an extensive analysis of the Scopus database and an in-depth review of the data characteristics, model characteristics and use of advanced modeling techniques in CM research.