Strategic Change

Publisher:: Wiley
Publication date:: 2021-02-01

ISBN:: 1086-1718

Issue Number

No. 33-1, January 2024

Latest documents

Entrepreneurial responses to Covid‐19: The use of digital brand marketing events in the craft alcohol sector
The wide‐ranging implications following the Covid‐19 pandemic have necessitated research into innovative entrepreneurial responses. The research study incorporates the concept of branded marketing events (BMEs) and considers their effectiveness in craft alcohol digital marketing. An exploratory qualitative study was conducted in Charlotte, North Carolina, and focused on the entrepreneurial responses of craft alcohol producers. Findings indicate that the inter‐relationships between the experiential components adapted to a digital environment enhance the engagement consumers experience with craft alcohol producers. The responses of craft alcohol producers to the impact of the Covid‐19 pandemic provide valuable insights into strategies employed during times when traditional sales and marketing activities face exceptional challenges.
Issue Information ‐ TOC
Turning 30 and myopic? Temporal orientation and the firm lifecycle
A vast body of literature shows that large, publicly listed firms suffer from managerial short‐termism and inadequate temporal orientation. We study the temporal orientations, measured as the investment horizons, of firms throughout their lifecycles. We build on theoretical arguments from organizational learning theory and agency theory to argue that the relationship between firm age and the investment horizon is quadratic, with an inverted U shape. Using a large sample of publicly listed and privately held European firms, we obtain results consistent with this prediction. Our results support the idea that younger firms gradually learn to use more sophisticated investment decision criteria, thus resulting in longer investment horizons. However, this effect is bounded by changes in governance structure, such as the separation of ownership from control that results from the transition from an owner‐managed status to a professionally managed status. Implications for future research and practice are discussed.
Advancing scientific inquiry through data reuse: Necessary condition analysis with archival data
This article discusses the importance of reusing existing data in research. In addition to reuse data for replication of earlier findings and for answering extended or new research questions, we propose a third application of data reuse: studying the phenomenon from an alternative causal perspective. We focus on the reuse of data with a necessity causal perspective (“if not X, then not Y”) as employed in necessary condition analysis (NCA). Such reuse of data offers additional insights compared with those obtained from the conventional probabilistic causal perspective (“if X, then probably Y”) as employed in regression analysis. NCA is gaining recognition in various fields, including strategic management. Reusing data for conducting NCA is an efficient way to get new causal insights. We provide recommendations on how to use NCA with existing data and emphasize the importance of transparency when reusing data.
Wine prices in economics: A bibliometric analysis
This article presents a literature review and a bibliometric analysis of academic research on wine prices in economics. The study comprises a review of 180 articles published in journals between 1992 and 2022. Bibliometric and science mapping methods apply indicators identifying the most prominent journals, authors, countries, institutions, topics, most published and cited articles, co‐authorship, bibliographic coupling, cited references, and keywords. This approach highlights the importance of four clusters in the literature: determinants of the wine prices, demand and consumption of wine, fine wine as an alternative investment, and quality and brand reputation of Bordeaux wines. This study shows many areas for further research within and outside these clusters.
Data sharing decisions: Perceptions and intentions in healthcare
This article aimed to capture and understand individual's intentions to share data, focusing on data individuals perceive as most sensitive: healthcare data. The study reviews literature related to the decision‐making process with regard to sharing personal data. The context is the UK National Health Service, and measures from literature are used to analyze individual's intention to share healthcare data. A scale is developed and applied to evaluate the decision to share healthcare data. Measurement constructs include intention to disclose, perceived protection, benefits, risk, subjective norms, and perception of use. Analysis draws on data from 129 survey respondents. Though numerous measurements are reported in literature and used in this study, two predictors dominate intention to disclose healthcare data: perceived information risk (PIR) and perceived societal benefit (PSB), and both are significant. PIR contributes negatively, whereas PSB contributes positively to predict intention. For personal healthcare, the privacy paradox applies as though risk may outweigh benefit people rarely opt out of data sharing. Individuals consciously or unconsciously consider their perception of the risk and broader benefits of data sharing. Both risk and benefit are both significant and important; perceived risk carries more weight than perceived benefits. Organizations need to develop campaigns to very clearly explain risks and benefits of personal data sharing to ensure that individuals can make truly informed decisions.
Data are in the eye of the beholder: Co‐creation for sustainable personal data value
Recent scholarship re‐casts the value of data from financial to value in use, where value is a multi‐faceted, dynamic, emergent construct, co‐created by stakeholders. To date, the dynamics of the co‐creation of value from the use of personal data have been investigated from the starting point of use. However, personal data do not have inherent value, rather their value emerges during design against projected future use. We conducted a case study of the development of a personalized e‐book and captured the different perceptions of the value of personal data from firm, intermediary, and customer perspectives, namely means to an end, medium of exchange, and net benefit, respectively. The diversity of perspectives highlights ontological differences in the perception of what data are, which in turn creates epistemological tensions and different expectations of the characteristics of data embedded in value co‐creation. By detailing how the value of personal data is co‐created in practice, we argue that co‐creation during design creates conditions for sustainable data value necessary for the continuing operation of products and services based on personalization.
Layered structures of robustness and resilience: Evidence from cybersecurity projects for critical infrastructures in Central Europe
The article studies cybersecurity projects from the perspective of social systems theory. Measures taken to increase cybersecurity are aimed at the robustness and resilience of specific systemic entities in society. We argue that this does not necessarily mean that systems in which these entities are embedded become more robust or resilient. The article investigates the objectives of 20 projects funded by different public organizations to increase cybersecurity of critical infrastructures. The findings show that robustness and resilience are addressed by these projects on different layers of systems in society, without a clear picture of how they are supposed to fit together in a wider effort to protect society against disruption. The detailed analysis of the different facets of robustness and resilience addressed in cybersecurity projects paves the way for a better understanding of this problem. The research shows how organizations may avoid the negative consequences of measures to secure specific systemic entities in society in the case of critical infrastructures, other application scenarios, and digital innovation in general.
Data, resilience, and identity in the digital age
Aspects of resilience for smart manufacturing systems
An external disruptor to a manufacturing process (e.g., a supply chain failure, or a cyber‐attack) can affect more than a factory's output; it can have wider societal concerns, raising the issue of industrial resilience at different levels. In this work, manufacturing resilience is revisited, reviewing the applicability of the resilience concept to the industrial domain, particularly the smart factories enabled by newer digital technologies. The meaning of resilience within manufacturing is shown to be composed of several factors that operate at three levels (macro, meso, and micro). The factors have been united from a variety of sources to unify the traits within manufacturing resilience. Furthermore, a summary of the advanced digital technologies that can aid (or detract) from resilience is discussed, along with some of their challenges around digital complexity, legacy equipment support, high‐performance wireless communications, and cybersecurity. Although it is seen that digital manufacturing systems can aid resilience within the industrial sector and contribute to wider societal goals, the biggest impact is likely to be at the lowest (micro) level. Opportunities exist to quantify resilience factors and their use within manufacturing systems support software, and how to influence the resilience requirements of the wider stakeholders.