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The authors meta-analyze research on the diversification–performance relationship to empirically establish the impact of home-country formal institutional quality on this relationship. Prior research assumes that a country’s formal institutional quality negatively affects the diversification–performance relationship, especially when it involves unrelated diversification. However, empirical evidence for these propositions is inconclusive because existing studies consider blocks of countries with limited institutional heterogeneity. To provide more clarity, this study aims to consider the diversification–performance relationship across developed, emerging and developing countries.

The meta-analysis relies on a sample of 293 effect sizes of the diversification–performance relationship from 76 primary studies across 15 countries between 1988 and 2019. The sample excludes effects sizes from papers that consider both product and international diversification to control for complex interactions between the strategies, as well as papers that did not consider both related and unrelated diversification.

The results confirm that stronger home-country formal institutions weaken the diversification–performance relationship by decreasing the relative efficiency of internal markets versus external ones. Further, the effect is less negative for related diversification because this strategy can better exploit market frictions in countries with stronger formal institutions and more efficient external markets than its unrelated counterpart.

The study contributes to the literatures on the diversification–performance relationship and home-country governance by providing robust evidence for how formal institutional quality impacts the efficacy of related and unrelated diversification.

Powder bed-based additive manufacturing (AM) is a promising family of technologies for industrial applications. The purpose of this study is to provide a new metrics based on the analysis of the compaction behavior for the evaluation of flowability of AM powders.

In this work, a novel qualification methodology based on a camera mounted onto a commercially available tap density meter allowed to assess the compaction behavior of a selection of AM materials, both polymers and metals. This methodology automatizes the reading of the powder height and obtains more information compared to ASTM B527. A novel property is introduced, the “tapping modulus,” which describes the packing speed of a powdered material and is related to a compression/vibration powder flow.

The compaction behavior was successfully correlated with the dynamic angle of repose for polymers, but interestingly not for metals, shedding more light to the different flow behavior of these materials.

Because of the chosen materials, the results may lack generalizability. For example, the application of this methodology outside of AM would be interesting.

This paper suggests a new methodology for assessing the flowing behavior of AM materials when subjected to compression. The device is inexpensive and easy to implement in a quality assurance environment, being thus interesting for industrial applications.

The purpose of this article is to develop an integrative framework of accelerator design to answer the question of what activities accelerators perform and how they function within a structured framework. Research on the functioning of accelerators as a mechanism for startup engagement produced multiple empirical results. However, the comparability of relevant research is strongly limited, currently hindering theoretical developments. Existing accelerator design models often differ and only partially overlap, which leaves extant literature with a fragmented and discordant conceptual understanding.

Based on a meta-synthesis method using qualitative analysis of 36 accelerator design articles, an integrative framework is developed. After identification of relevant literature, a renowned method for extracting, coding and synthesizing data on individual and cross-study level is applied to identify accelerator design constructs. Eventually, identified accelerator design constructs are integrated into a framework resting on the activity system lens of business model design.

The article reconciles fragmented knowledge on accelerator design and shows how accelerator design can be holistically conceptualized by 32 key activities clustered in eight design dimensions. The framework is complemented by an initial guideline for measurement. The findings further highlight formerly disregarded aspects of governance and community formation from a processual and structural perspective.

This article is the first to present a comprehensive picture of accelerator design integrating multiple empirical findings of prior research into a single coherent framework. This framework offers a shared foundation for future research exploring the delineations, functioning and impact of accelerators. From a practical perspective, the article provides managers of accelerators a guide to design, review and improve programs according to their value creation goals.

The purpose of this paper is to systematise the research field of sustainability reporting. The authors contribute to closing this research gap and, on the basis of this systematisation, address the research question of what are the drivers of sustainability reporting.

The paper systematically reviews existing studies and analyses drivers of sustainability reporting using a qualitative approach. The authors intend to demonstrate and discuss the wide range of approaches used in literature.

The review suggests that firm size, media visibility and ownership structure are the most important drivers of the disclosure of sustainability reports, while corporate governance only seems to have an influence on the existence of audit or sustainability committees. In contrast, other determinants such as profitability, capital structure, firm age or board composition as an indicator of corporate governance do not show a clear tendency.

The authors systemise the research field related to sustainability reporting to give an overview of the current research landscape that is not influenced by environmental or social reporting and discuss the identified determinants and the related variables. This results in a comprehensive report of what is known and unknown about the questions addressed in the systematic review.

To explain the process of how star architecture projects generate impact, one must first describe the outputs of such projects and then unpack the wide array of potential effects, which are generated by these outputs. This requires the application of multi-disciplinary research perspectives. Only then can one begin to systematically analyse the long-term impacts. The purpose of this paper is to illustrate how the complexity of such multi-disciplinary research exercise can be managed through the application of a methodological strategy aided by a conceptual impact model.

A conceptual impact model is presented, which describes the process of the development of star architecture projects, the various outputs of these projects and the possible effects generated by these outputs. The effects of three case study star architecture projects are discussed.

Empirical research findings indicate that while the isolation of effects serves the operationalisation of research, the investigation of the impact of star architecture projects on their respective cities must draw on the intertwinement of the fields of urban economy, society and morphology. The paper concludes by arguing for the application of the described methodological strategy as the basis for understanding in which dimensions a star architecture project generates impacts.

The potential of the proposed impact model for urban analysis when considered as a field of intertwined relations is demonstrated in this article. It helps to reveal how particular local developments change the city significantly in socio-cultural and spatial terms.

The transformative impact of star architecture projects and the role of economic and other effects in this process has hardly been studied, particularly in small and medium-sized cities. This article presents a unique multi-disciplinary research project approached consecutively in the aforementioned fields.

The purpose of this paper is to estimate the effect of policy and exchange rate uncertainty shocks on EU countries’ exports to the world economy. The authors examine the performance of the four biggest economies, namely Germany, France, Italy and the UK, under policy and exchange rate uncertainty in exports to some of the most important global export destinations (the USA, Japan, Brazil, Russia and China).

For this purpose, the authors apply a non-linear model, where suddenly strong spurts of exports occur when changes of the exchange rate go beyond a zone of inaction, which the authors call “play” area – analogous to mechanical play. The authors implement an algorithm describing path-dependent play hysteresis into a regression framework. The hysteretic impact of real exchange rates on exports is estimated based on the period from 1995M1 to 2015M12.

Looking at some of the main export destinations of the selected EU member countries, the USA, Japan and some of the members of BRICS (Brazil, Russia and China), the authors identify significant hysteretic effects for a large part of the EU member countries’ exports. The authors find that their export activity is characterized by “bands of inaction” with respect to changes in the real exchange. To check for robustness, the authors estimate export equations for limited samples: excluding the recent financial crisis and excluding the period up to the burst of the dotcom bubble and September 11. In addition, the authors employ an economic policy uncertainty variable and an exchange rate uncertainty variable as determinants of the width of the area of weak reaction of exports.

Overall, the authors find that those specifications which take uncertainty into account display the highest goodness of fit, with economic policy uncertainty dominating exchange rate uncertainty. In other words, the option value of waiting dominates the real exchange rate effect on the EU member countries’ exports.

The existence of “bands of inaction” (called “play”) in EU member countries’ exports should lead to a more objective discussion of peaks and troughs in those countries’ real exchange rates and, more specifically, of the relevance of internal and external devaluation and other indicators to gain international competitiveness on exports in political debates. If policy and/or exchange rate uncertainty are diminished, one may expect an earlier boost in exports, if the home currency is devaluing in real terms.

The results are useful as arguments in the debate about exchange rate pain threshold vs export triggers.

The authors focus on the export performance of the four biggest economies in the European Union, namely Germany, France, Italy and the UK. The authors examine their respective export performance, as an innovation, under policy and exchange rate uncertainty and, for this purpose, look at some of the most important global export destinations (the USA, Japan and the BRICS (Brazil, Russia and China)). The authors do so, also as an innovation, by differentiating between intervals of weak and strong reaction of their exports to real exchange rate changes.

The purpose of this paper is to achieve a collective understanding of the capabilities required for digital procurement transformation (DPT).

The authors contextualize theory about dynamic capabilities (DCs) to integrate the fragmented body of literature on procurement digitalization by means of a systematic literature review (SLR). By extracting and clustering capabilities, as well as proven performance outcomes from existing literature in the field, the authors develop a conceptual model of the DCs required for DPT.

The authors first introduce and define DPT and the corresponding motivations that trigger firms to invest in advanced digital technologies. Second, by adopting the DC lens, the authors provide an overview of nine microfoundations required for DPT and highlight the strategic options procurement leaders can use when strategizing about adopting combinations of digital technologies. Third, the authors present a future research agenda on DCs for DPT.

The developed conceptual model must be verified and enhanced through further empirical research.

The conceptual model can be used by procurement leaders as a starting point and framework when strategizing about digitally transforming the procurement organization.

The study is the first to synthesize previous research findings on procurement digitalization through an SLR in order to develop a fine-grained conceptual model that supports practitioners and researchers alike in better understanding the capabilities required for and potential performance outcomes of DPT.

The purpose of this paper is to develop a theoretical model that explains the impact of big data analytics capabilities (BDAC) on company's supply chain innovation capabilities and sustainable supply chain performance. BDAC is represented through two dimensions of big data technological capabilities (BDTC) and big data personal capabilities (BDPC). Moreover, the relationships between BDTC and BDPC with sustainable supply chain performance through the mediation effect of supply chain innovation capabilities are examined.

The study used a quantitative research approach. A survey of 400 Jordanian manufacturing companies was carried out to conduct this research. However, the responses of 207 managers were valid to be used in the analysis. In this study, the SmartPLS software was used to perform structural equation modeling using a partial least squares approach (PLS-SEM) and to examine the measurement and structural model's validity and reliability.

According to the results of this study, BDPC has a significant positive impact on supply chain innovation capabilities. Furthermore, the findings indicate that supply chain innovation capabilities are the most influential predictor of sustainable supply chain performance and act as a positive significant mediator in the relationship between BDPC and firm sustainable performance. Surprisingly, the study found that BDTC had no significant effect on supply chain innovation capabilities. Besides that, no significant relationship exists between BDTC and firm sustainable performance via the mediation effect of supply chain innovation capabilities.

This study provides an integrated research model that incorporates BDAC, supply chain innovation capabilities, and sustainable supply chain performance in order to analyze supply chain innovation and sustainable supply chain performance. This suggests that the scope of the study is broader in terms of predicting sustainable supply chain performance. As a result, the study intends to fill a gap in the literature by explaining how BDAC affects supply chain innovation capabilities and firms sustainable performance. In addition, the role of supply chain innovation capabilities as a mediator between BDAC and sustainable supply chain performance is investigated.

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.

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.

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.

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.

Inaccurate capturing and processing of customer requirements result in negative economic and ecological effects. Digital twins of customer demands promise to remedy these issues. However, successful implementation necessitates users' technology acceptance. This study contrasts three hierarchical digital twin levels with different degrees of user integration and examines determinants for their respective acceptance.

A structural equation model is applied in a comparative manner, considering different levels of digital twin radicalness. A multidimensional approach is used to measure attitudes towards usage. Data are collected in the context of organisational supply management.

Results show harmonious effects across digital twin levels. This indicates that technological radicality plays only a subordinate role when assessing acceptance determinants such as user perception on ease of use, usefulness, trust and risk.

Rather than focussing solely on technological factors, findings suggest that users prioritise the actual outcome and efficiency of the system. This perspective offers practical implications for organisations seeking to implement advanced systems and emphasises the significance of user perceptions beyond technological features.

The societal impact of this research are an appreciation of customer roles in the supply chain where an enhanced detection of customer needs and preferences aligns businesses with the dynamic and evolving demands of a diverse and a continuously environmentally-conscious consumer base.

This study applies a measurement model for technology acceptance in a unique and multidimensional manner. Thereby, a comparative analysis of user perceptions across different digital twin levels sheds more light on a nascent, promising and underexplored technological method. This interdisciplinary research combined knowledge from the supply chain management and management information systems fields by highlighting key factors for the adoption of complex technological methods.