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Although firms rely on employees’ innovative work behaviour and effective leadership to achieve service innovation performance, these relations remain underexplored, especially regarding digital leadership. We conceptualise a digital leader’s capabilities and explore influences on innovative work behaviour and service innovation performance, using the dynamic capabilities view as a theoretical lens. Applying a multi-method exploratory research design, our qualitative results, based on 34 expert interviews, deliver a taxonomy of digital leadership capabilities along three dimensions. With 249 survey participants, we quantitatively tested dimensional influences individually (multidimensional view) and collectively (unidimensional view) using structural equation modelling. In line with our mediation results, both views are significantly positively related to innovative work behaviour; still, only the unidimensional view significantly influences service innovation performance. Our results underpin the comprehensive character of digital leadership capabilities contributing to innovation research with a new “antecedal” perspective. We also provide practical relevance by revealing innovation-effective leadership capabilities.
The introduction of ChatGPT in November 2022 by OpenAI has stimulated substantial discourse on the implementation of artificial intelligence (AI) in various domains such as academia, business, and society at large. Although AI has been utilized in numerous areas for several years, the emergence of generative AI (GAI) applications such as ChatGPT, Jasper, or DALL-E are considered a breakthrough for the acceleration of AI technology due to their ease of use, intuitive interface, and performance. With GAI, it is possible to create a variety of content such as texts, images, audio, code, and even videos. This creates a variety of implications for businesses requiring a deeper examination, including an influence on business model innovation (BMI). Therefore, this study provides a BMI perspective on GAI with two primary contributions: (1) The development of six comprehensive propositions outlining the impact of GAI on businesses, and (2) the discussion of three industry examples, specifically software engineering, healthcare, and financial services. This study employs a qualitative content analysis using a scoping review methodology, drawing from a wide-ranging sample of 513 data points. These include academic publications, company reports, and public information such as press releases, news articles, interviews, and podcasts. The study thus contributes to the growing academic discourse in management research concerning AI’s potential impact and offers practical insights into how to utilize this technology to develop new or improve existing business models.
While corporate venture capital funds (CVCs) are commonly analyzed as homogenous units, they display significant heterogeneity across various organizational aspects, which affect them and subsequently their portfolio firms. Using a sample of 383 European portfolio firms from the longitudinal VICO dataset, we first investigate the impact of investor type (independent vs corporate) on firm operating efficiency. We show that firms backed by CVCs suffer reductions in productivity. We then account for CVC heterogeneity and find that these significant reductions in operating efficiency only occur for ventures backed by endoisomorphistic CVCs, which resemble more corporate structures. By contrast, firms backed by exoisomorphistic CVCs, which resemble more independent venture capital structures, do not show significant differences in productivity compared to ventures that receive independent venture capital backing.
To adapt their competitive advantages for successful strategic renewal, established companies must apply suitable innovation activities. One way to achieve this is the establishment of corporate venturing units that create organizationally consequential new business innovation for their parent company. However, the understanding of the distinctive organizational characteristics for such strategic corporate venturing is limited. To address this gap, our abductive study develops a conceptual organizational framework by linking key concepts of strategic renewal with corporate venturing. This framework is subsequently compared with insights emerging from the qualitative data of 29 corporate venturing units. This comparison allows us to define six types of units with different possible roles for the strategic renewal of the parent company, and a final exploratory organizational framework with distinctive organizational characteristics for strategic corporate venturing. These include a set of dynamic capabilities with corresponding resources as possible enablers for a planned innovation logic that requires interlinked-ambidextrous structures. These findings provide a foundation for an empirical model of strategic corporate venturing, as well as novel insights for establishing dynamic capabilities and ambidexterity within interlinked organizational entities. Practitioners can build on these findings to leverage corporate venturing units as a systematic and organized innovation activity for strategic renewal.
With scarce research on the intersection of corporate venturing and firm strategy, few companies succeed in using their dedicated corporate venturing units (CVUs) for strategic renewal. This study examines this intersection in so-called interlinked-ambidextrous CVUs. Through relational interlinks with internal and external stakeholders, these organizational entities combine the exploration of new market opportunities with the exploitation of existing core competencies to develop new competitive advantages for their parent companies. That way, they aim to create organizationally consequential new business that can change the competitive positioning of a company. To investigate such strategic corporate venturing, the study collects and analyses qualitative data from interlinked-ambidextrous units in 16 European companies. The resulting key themes and their relationships are mapped onto an exploratory model of strategic corporate venturing that includes organizational context factors as antecedents; process activities, relational mechanisms and dynamic capabilities as enablers; and an ambidextrous orientation as a mediator for the intended strategic renewal task. Embedding these key findings within existing theory provides valuable contributions to the development of the strategic corporate venturing concept and the understanding of interlinked-ambidextrous CVUs. This can help practitioners tackle the strategic renewal challenge through corporate venturing.
We study the asymptotic stability in replicator dynamics derived from TU games using the dual Lovász-Shapley value and the Shapley2 value for non-negatively weighted games. In particular, we provide a complete description of asymptotically stable population profiles in both dynamics. In the dual Lovász-Shapley replicator dynamic, for example, asymptotically stable populations for simple monotonic games correspond to their minimal blocking coalitions.
Despite service productivity’s scholarly prominence and practical relevance, past research in marketing has primarily adopted isolated perspectives from which disjointed empirical findings reign supreme. As the acquisition of knowledge about service productivity accelerates, the collective evidence becomes more interdisciplinary but also more fragmented. This study uses a meta-analysis to integrate the substantial empirical record on service productivity. We formulate hypotheses on the moderators of service productivity-determinant relationships and meta-analyze 77 articles, relying on 81 independent samples with a cumulative sample size of 30,238 participants to test our predictions. Our meta-analysis provides empirical evidence that service quality and internal efficiency must be considered jointly, not in isolation, to maximize profitability. Thus, relying on one aspect in isolation is less appropriate for measurement purposes and might not lead to positive outcomes. This important finding should concern service scholars and managers because falling profit margins require service firms to move beyond the traditional manufacturing productivity that separates service quality from internal efficiency and consider service productivity as a profitability concept. In sum, our findings provide a viable model to explain the main service productivity determinants and moderating variables, offering valuable insights for practitioners that aim to deliver cost-efficient service quality and promising future research directions.
Beyond the first offer
(2023)
First offers play a significant role in negotiations as they anchor negotiators’ perceptions and influence negotiation outcomes in favor of the first-offer proposer. However, negotiation is a joint decision-making process in which a first offer is typically succeeded by a counteroffer. The impact of a counteroffer has not yet been systematically researched. We propose that a counteroffer influences negotiation outcomes like a first offer. In addition, we conceptualize the “anchor zone” as the distance between the first offer and the counteroffer. We theorize that the anchor zone influences negotiation outcomes because it captures additional information compared to a single offer. To test our hypotheses, we conducted two studies: Study 1 was a vignette study (n = 190) in which participants reacted to a counteroffer that they received based on their first offer as part of a simulated negotiation. Study 2 was an online experiment (n = 212) in which participants negotiated by exchanging offers with no further communication. Our analysis suggests that the counteroffer is a significant predictor of economic outcomes. Thus, it works like a first offer, but with a lower impact. In addition, the anchor zone predicted how far the final agreement was from the first offer. Furthermore, we found that the third offer, the average concessions, and the number of offers mediated the effects of the counteroffer and anchor zone on economic outcomes. Finally, we discovered that a more aggressive counteroffer reduced the subjective value of both negotiators.
Corporate venture capitalists (CVCs) have shorter lifespans than independent venture capitalists (IVCs), but the reasons for this are not well understood. This paper identifies influencing factors affecting lifespans of CVCs and IVCs. Based on a sample of 190 articles, this systematic review identifies 41 factors that influence VC performance across four dimensions: decisions about strategies, the exploitation of venture capital resources and characteristics, active involvement in the venture capital environment, and limited underlying room for maneuvering. These dimensions show differences in the decision-making of IVCs and CVCs and impact lifespan. CVCs yield greater financial performance than IVCs. However, our results suggest that five CVC-specific factors are significant influencing factors which can explain lifespan differences: investment objectives, organizational autonomy and structure, interorganizational relationships, commitment of corporate parent, and parent company size. Overall, the longevity of CVCs is largely determined by a number of internal decisions made between the CVC and its parent company. Limiting the influence of corporate parents is suggested to enhance the success and lifespan of CVCs.
Using a sample of 18,225 global buyouts, we find that management buyouts (MBOs) are significantly more likely to occur if economic policy uncertainty (EPU) increases. This finding is consistent with the idea that EPU provides an opportunity for insiders to capitalize on private information and time the market. Further results suggest that market timing pays off on average. We find that MBOs achieve more favorable buyout prices and greater post-buyout operating improvements than institutional buyouts during times of high EPU. Our results hold when exploiting close national election races as a quasi-natural experiment for EPU.
In 2003, the German Stock Exchange instituted the Prime Standard as the highest regulated stock market segment in Germany. We analyze the firms’ delisting decisions from this market segment between 2003 and 2015, with a focus on different delisting reasons and firm characteristics. We identify 518 firms that listed on the Prime Standard at least once during the sample period of which 243 firms left this market segment. Of these firms, 107 down-listed and transferred to lower market segments and 136 firms exited the public equity market for the following reasons: 61 firms merged, 53 were insolvent, and 22 firms went private. Using cross-sectional and firm-fixed effects logit regressions, we provide new evidence for firms’ market segment and delisting decisions. Consistent with a cost–benefit analysis, we observe that inferior growth opportunities, low stock liquidity, smaller firm size, poor operating performance, higher audit fees, and more agency conflicts increase the probability that firms opt for a less regulated stock market segment or voluntarily go private. This raises the important issue of securities market reforms that best meet firms and investors preferences.
Review articles or literature reviews are a critical part of scientific research. While numerous guides on literature reviews exist, these are often limited to the philosophy of review procedures, protocols, and nomenclatures, triggering non-parsimonious reporting and confusion due to overlapping similarities. To address the aforementioned limitations, we adopt a pragmatic approach to demystify and shape the academic practice of conducting literature reviews. We concentrate on the types, focuses, considerations, methods, and contributions of literature reviews as independent, standalone studies. As such, our article serves as an overview that scholars can rely upon to navigate the fundamental elements of literature reviews as standalone and independent studies, without getting entangled in the complexities of review procedures, protocols, and nomenclatures.
Ensuring that innovations are implemented organisation-wide remains a critical business challenge for organisations. This study identifies how organisations can improve the effectiveness of innovations and specifies the effects of innovation implementation antecedents and capabilities. By applying a mixed method approach, using data from 42 semi-structured interviews and 125 questionnaire participants, we develop a new framework for understanding the mechanisms that underlie and enhance effective innovation implementation. The results emphasise that achieving high and consistent use of innovations requires organisations to focus on organisational members and their individual characteristics, rather than on organisational design. Additionally, implementation leadership serves as a central mediator to explain the framework’s relationships. Furthermore, a middle management-driven approach that combines implementation leadership and dialogue facilitates the effective implementation of innovation. In conclusion, our study contributes to innovation implementation research by presenting a framework to guide future research, whilst helping practitioners to implement innovations more effectively.
These are constantly changing times for the tourism industry. The COVID-19 pandemic and accompanying negative economic effects significantly impacted customer behavior and accelerated the need for companies to innovate. Business model innovation (BMI) is ideal for overcome these challenges by innovating the very core of the firm. However, siloed BMI thinking is insufficient: firms need a more holistic approach. We expand the current understanding of business model innovation by proposing a framework that integrates relevant dimensions (change impulses and business model configurations), context factors (service newness and degree of change or destination characteristics), and the outcomes of BMI initiatives into a comprehensive model for the tourism industry context. With our work, we want to guide future research and expand the currently unbalanced, heterogeneous picture of BMI in service industries.
We measure the tax advantage of public firms over private firms, which operate at municipality level in the German household solid waste disposal industry. Public firms with sovereign duties pay no taxes, but equivalent private firms have to. In a simple risk-free setting, we develop a measure of the percentage difference of the charges of both types of firms demanded under their respective tax treatments. We model a cost-covering public firm and a net present value maximizing private firm. For sensible model parameters from the German waste disposal industry the private firm has to demand an about 16% to 18% higher charge. The by far biggest impact on the measure has the value added tax, with revenues as a much larger tax base than profits. Tax savings, which directly affect pre-tax profits, only alleviate the disadvantage bit. There is some evidence that at least one type of private firms—that is, private law firms that are also majority privately owned, are productive enough to overcome the tax advantage of public firms and be able to charge a lower price than public firms.
Commenting on our study of a German university under the Nazi regime, Fülbier (2021) outlines a research agenda on the manifold ways in which the Nazi doctrine affected institutions of higher education, going beyond the scope of our original article (Detzen and Hoffmann 2020). With this reply, we seek to complement his commentary, by reflecting on methodological considerations emanating from such an agenda. We discuss (i) historical case-based research, (ii) questions of ontology and epistemology in interpretive accounting research, and (iii) the notion of what constitutes accounting in a specific research context. We hope that our reply, along with Fülbier’s (2021) commentary, inspires further research on accounting’s role in totalitarian regimes.
Value creation of private equity (PE) firms in portfolio companies has received much attention in research. This systematic literature study aims to review, evaluate, and organize the empirical studies conducted in this field during the last four decades. Our findings from an in-depth analysis of 110 empirical papers reveal that the current understanding is incomplete, inconsistent, and unbalanced. Currently no consensus exists regarding a taxonomy or framework that encompasses all relevant dimensions and structures in the field. To guide future research, the study proposes a framework for value creation inputs, outcomes, and context factors. Constructed on a theoretical basis of agency and resource-based theory, we define distinct roles PE firms take in portfolio companies and specify an underlying typology of value creation levers that are applied. Additionally, we discuss the current research on outcomes of PE value creation efforts, and we identify and structure currently underrepresented context factors that influence value creation. Finally, we highlight potential avenues for future research, focusing on influential context factors and levers that catalyze growth in portfolio companies.
Service innovation and service productivity are key elements of a firm’s ability to gain competitive advantages. Although previous studies have advanced the understanding of each topic individually, few attempts have been made to bridge the gap between the two research streams. Endeavoring to explain how firms combine strategies for high service productivity with successful service innovation, we adopt a multiple-case research design. Results of a one-year field study in the financial services market show that firms are more likely to gain competitive advantages if they link multiple innovation configurations that fit with their productivity strategy. We identified 27 cases that facilitated productivity through cost emphasis, revenue emphasis, or a dual emphasis on both cost and revenue. Our data, which include 42 in-depth interviews as well as public documents, also suggest that two sets of service innovation configurations—new service development and service design—are linked together in relationships with service productivity.
Greenhouse gas emission (GHGE) taxes on food products have recently been proposed as means to help reduce agricultural emissions. Numerous authors have calculated potential GHGE reductions in case such a tax was implemented in certain countries or regions. They did however assume a reduced production of GHGE-intense foods equal to the decline in demand induced by the tax. This omits, however, possible increases of net-exports that might offset such a demand reduction. Herein, the market dynamic behind this so-called “emission leakage” is explained and its effect quantified for a greenhouse gas tax in the European Union. We use the European Forest and Agricultural Sector Optimization Model for the quantitative analysis and simulate a greenhouse gas tax on all food products, based on their individual emission levels. The partial equilibrium model covers all world regions and hence the tax's effects on international trade of agricultural commodities can be examined. It was found that 43% of the greenhouse gas reduction indicted by a domestic consumption reduction is lost through emission leakage. This already includes the mitigating effects of a production shift from inefficient to efficient producers that is another consequence of increased exports from the European Union. A greenhouse gas emission tax on food products is hence much less efficient than previously proposed, if it is not introduced globally or trade is not restricted.
This paper focuses on challenges regarding managerial behaviour and productivity in the context of digitalisation. It is neither understood precisely how managerial behaviours transcribe digital strategy into economic success nor how opportunities from digital innovations are transferred into productivity. A systematic literature review (SLR) is applied to acquire an organised overview of the research question “How does managerial behaviour concerning digital innovations change productivity?” The outcomes of this paper are threefold: (1) The research question will be answered by showing several aspects managers can make use of to influence productivity. In this regard knowledge, change management and data-driven behaviours, the creation of collaborative settings, and (customer) co-creative aspects are of particular importance. (2) Executives will be motivated to reflect and calibrate their own practices. (3) The Gutenberg rooted framework of production factors is used to discuss the results and six suggestions are made to transform the model to digital readiness.