Refine
Document Type
- Article (15)
Language
- English (15)
Keywords
- Business model innovation (3)
- Analytics (2)
- Business model (2)
- Decision-making (2)
- Digital transformation (2)
- Management research (2)
- Top management (2)
- AI-Aided research (1)
- AI-aided structured literature review (1)
- Activities (1)
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.
Digital Transformation (DT) has become a challenge and opportunity for firms competing in dynamic and volatile markets. Especially small and medium sized enterprises (SMEs) face difficulties within the digitalization process based on their limited resources and capabilities. It is essential to understand which factors influence this process to enable the success of DT in SMEs. However, there is fragmented research on DT in SMEs. To close this gap this paper aims to identify and categorize the influencing factors of DT in SMEs by building on the Attention Based View (ABV). Therefore, a systematic literature review was conducted with a total of 75 papers published from January 2012 to January 2022. 354 factors were identified. With the help of Gioia-Method a taxonomy was created. The main finding of the research is a taxonomy, which consist of three main categories and 17 sub-categories, which organize the factors identified from the sample. The taxonomy answers the calls in research for a comprehensive and tangible picture on the influencing factors of DT in SME independent from disciplines or industries. For practitioners the taxonomy allows to understand and approach what specific factors influence their digital transformation journey and where to put attention.
This study explores the concept of massive and rapid business scaling (MRBS) in the context of digital start-ups by identifying 20 factors clustered into seven core drivers. Through inductive qualitative research, the study builds on 53 semi-structured interviews with founders, executives, and advisors, leading to the development of a framework that uncovers seven core drivers of MRBS contributing to the scaling process. These core drivers are as follows: 1) scanning the environment and recognizing opportunities, 2) iteratively adjusting the business model with an asset-light structure, 3) achieving operational excellence through digitization, 4) building an efficient and entrepreneurial workforce combined with leadership and vision, 5) leveraging internal resources to strengthen positioning and expand the market, 6) attracting capital to facilitate growth realization, and 7) cultivating organizational agility and a transformation culture. While core drivers one to five imply a processual nature, the sixth and seventh core drivers serve as a foundation for MRBS. Moreover, this study outlines several areas of tension within the process of MRBS. Therefore, the study provides valuable insights for scholars and practitioners.
Characteristics of platform providers in collaborative consumption: a derivation of archetypes
(2023)
This study aims to investigate different types of platform providers (PPs) to gain a deeper understanding of the characteristics and underlying logic of this group within collaborative consumption (CC). As CC occurs with three groups of actors (PP, peer service provider and customer) and is predominantly viewed from the customer perspective, this study offers insights from the under-researched PP perspective.
Transform me if you can
(2023)
This study sheds light on the relationships between digital transformation, business model, and process efficiency capabilities, and new product development (NPD) performance by employing a sequential explanatory approach, combining quantitative and qualitative research methodologies, utilizing structural equation modeling based on 430 questionnaire respondents, and a multiple case study design using four cases. The derived framework highlights that digital transformation does not directly lead to NPD performance but that organizations use idiosyncratic higher order (e.g., business model and process efficiency) capabilities that mediate this relationship to strategically cope with change. When assessing, reconfiguring, and integrating, organizations tap into internal and external value, individual, technological, and organizational (VITO) dimensions to transform operational capabilities and resources. Thus, higher order capabilities enable organizations to leverage firm-external opportunities to adjust intrafirm operational capabilities, resources, and competencies, emphasizing a complex hierarchical and contextual interplay. The contributions of the study are twofold: 1) we provide statistical evidence that the business model and process efficiency capabilities are coping mechanisms to master digital transformation and 2) the successful orchestration of VITO dimensions is essential for assessing, reconfiguring, and integrating resources, competencies, and operational capabilities to derive NPD performance.
Artificial intelligence-enabled business model innovation: competencies and roles of top management
(2023)
Research in artificial intelligence and business model
innovation is flourishing. Nevertheless, the current discussion lacks
an overarching understanding of, and thus has not sufficiently addressed,
the interface between artificial intelligence-enabled business
model innovation and the critical role of top management. Although
a paradigm shift affecting top management is already occurring,
extant management literature is limited, especially in terms of
primary research. Accordingly, this study explores how top management
can encourage and facilitate artificial intelligence-enabled
business model innovation. We utilized an inductive approach and
conducted semistructured interviews with 47 practitioners to develop
a grounded theory. The developed framework consists of five
top management competencies and eight top management roles.
Overall, our study contributes to research in business model innovation
theory, revealing that top management requires a specific
skill set to carry out their roles and fulfill expectations.
Purpose
The article discusses the current relevance of artificial intelligence (AI) in research and how AI improves various research methods. This article focuses on the practical case study of systematic literature reviews (SLRs) to provide a guideline for employing AI in the process.
Design/methodology/approach
Researchers no longer require technical skills to use AI in their research. The recent discussion about using Chat Generative Pre-trained Transformer (GPT), a chatbot by OpenAI, has reached the academic world and fueled heated debates about the future of academic research. Nevertheless, as the saying goes, AI will not replace our job; a human being using AI will. This editorial aims to provide an overview of the current state of using AI in research, highlighting recent trends and developments in the field.
Findings
The main result is guidelines for the use of AI in the scientific research process. The guidelines were developed for the literature review case but the authors believe the instructions provided can be adjusted to many fields of research, including but not limited to quantitative research, data qualification, research on unstructured data, qualitative data and even on many support functions and repetitive tasks.
Originality/value
AI already has the potential to make researchers’ work faster, more reliable and more convenient. The authors highlight the advantages and limitations of AI in the current time, which should be present in any research utilizing AI. Advantages include objectivity and repeatability in research processes that currently are subject to human error. The most substantial disadvantages lie in the architecture of current general-purpose models, which understanding is essential for using them in research. The authors will describe the most critical shortcomings without going into technical detail and suggest how to work with the shortcomings daily.
Purpose
Recent years have seen a meteoric rise in the study of narcissism in entrepreneurship, although little consolidation has occurred in this area. The purpose of this paper is the development of an integrative framework to harmonise the academic discussion and serve as a structured foundation for future research.
Design/methodology/approach
The authors conducted an artificial intelligence-aided, structured literature review focused on content analysis of concepts and contexts to map out current findings and research gaps in startup narcissism research.
Findings
According to the findings of this study, narcissistic tendencies have the potential to positively influence startup success early on in an entrepreneur's journey, but after a certain point in the process, the influence of narcissism on success becomes predominantly negative.
Research limitations/implications
The research field is currently not very harmonised regarding research measures, research subjects and key research terms. Further research must use a standardised approach to add value to the research body.
Practical implications
Narcissism is a two-sided sword for founders. In the early stages of a company, many of the founder’s tasks can benefit from narcissistic tendencies. In the later stages of a company, that might shift to overwhelmingly negative effects of narcissism.
Originality/value
Methodically, this study is the first one to establish an artificial intelligence component to add value to the results of a review paper to the best of the authors’ knowledge. The results of this study provide a clear framework of entrepreneurial intention, entrepreneurial activity and entrepreneurial performance to give researchers the opportunity of a more differentiated way of organising work.
The concept of sector coupling has been gaining increased momentum in political discourses during the past few years but it has only recently received the attention of international academics. The private sector is particularly relevant to foster sector coupling through entrepreneurial action – specifically, innovative business models for more sustainable technologies are needed to promote a transition towards more sustainability. So far, however, the literature on business models from a sector coupling perspective is scarce yet strongly emerging. To address the identified research gaps and enhance the current knowledge on the emerging hydrogen vehicle industry and sector coupling, this study adopts a qualitative and exploratory research approach and builds on information gained in 103 semi-structured interviews to discuss emerging business models in Germany. In particular, 33 business cases have been analyzed. Anchoring business model theory to the concept of sector coupling, this study identifies 12 business model archetypes in the emerging hydrogen vehicle industry and its value chain. It can be shown that, while the market is still emerging and the market players are not defined and are evolving, companies are currently engaged in finding their position along the value chain, fostering vertical integration, and promoting cooperation between the different sectors. While this study is relevant for both the academia and the industry, it is particularly interesting for policy makers shaping the future of sustainable development, specifically considering integrated energy systems.
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.
The use of analytics in corporate decision-making processes demands a paradigm shift within companies, and particularly among their top executives. Corporate leaders represent a major lever for this change. Therefore, a deeper understanding of their managerial capabilities, characteristics and contribution in this context is required. Aiming to provide actionable guidance on how to manage the shift to data-driven decision making, this study helps to develop a more profound understanding of this emerging managerial role by examining managerial success factors following a semi-structured interview approach. With insights from interviews with 32 top executives from Germany across different industries, this paper research proposes four managerial archetypes that are relevant to mastering the digital transformation towards analytics-based decision-making processes. Furthermore, it sheds light on the characteristics, capabilities, and contributions of the four archetypes—Analytical Thinker, Coach, Guide, and Strategist. Although the archetypes have differentiated attributes and qualities, all four seem of importance in manifesting analytics in organizations. Our findings provide guidelines to assess the top management's abilities to manage digital transformation projects. Furthermore, the results serve as basis for future empirical research on the human aspect of analytical capabilities regarding leadership.
Purpose
In a move characterized by ambiguity, Facebook changed its name to Meta in October 2021, announcing a new era of social interaction, enabled by the metaverse technology that appears poised to become the future center of gravity for online social interactions. At first glance, the communicated change signals a radically new business model (BM) based on an unprecedented configuration of the three following components: value creation, value proposition and value capture. The purpose of this paper is to analyze Facebook’s announced changes in its BM to clarify whether the change is as radical as communicated or rather represents an incremental transformation of the current BM.
Design/methodology/approach
This investigation adopted an in-depth case study research method. The process included using a structured approach to collect 153 data points, including academic studies and publicly available information, followed by qualitative content analysis.
Findings
The results of our analysis of Facebook’s entrepreneurial journey indicate that the communicated strategic refocusing does not correspond to a radical BM innovation pattern. Even though Facebook’s BM might evolve into the innovation phase, as the current changes appear very futuristic, the authors estimate that the core elements of the BM will change incrementally. The investigation indicates that the underlying logic of the straightforward communicative efforts primarily serves two purposes: to improve the external perception of the company and to disseminate an internal change signal within the organization.
Originality/value
This paper is the first study that takes an entrepreneurship and BM perspective in analyzing Facebook’s approach in rebranding to Meta and refocusing its strategy on building the metaverse. The academic and practical relevance, as well as the potential future impact on business and society, makes the investigation of this case an intriguing prospect. Additionally, the study illuminates the difference between the communicated vision and the real impact on the business, suggesting critical questions about future large-scale rebranding efforts and their effects.
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.
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.
Research shows that many firms still make business critical decisions intuitively, despite clear evidence that analytics-based decision-making is likely more effective in creating corporate and social value. With the aim of providing actionable guidance to firms on how to accomplish the shift to analytics-based decision-making, this paper sheds light on the management factors that prove critical in this context. An in-depth single-site case study was conducted with a large publicly listed German manufacturing company. Building on 22 semi-structured interviews, this empirical study identifies six factors that play a critical role in establishing analytics-based decision-making: management behaviour, top management and strategy, analytics infrastructure, organisation and governance, HR management and development, and culture. This study forms the basis for further scientific research on the role of firm management in the transitional phase. Furthermore, it provides firm leaders with a systemised and practical framework to structure firm efforts to establish data-based decision making.