Copenhagen Business School
UniversityCopenhagen, Denmark
Research output, citation impact, and the most-cited recent papers from Copenhagen Business School (Denmark). Aggregated across the NobleBlocks index of 300M+ scholarly works.
Top-cited papers from Copenhagen Business School
Abstract A central part of the innovation process concerns the way firms go about organizing search for new ideas that have commercial potential. New models of innovation have suggested that many innovative firms have changed the way they search for new ideas, adopting open search strategies that involve the use of a wide range of external actors and sources to help them achieve and sustain innovation. Using a large‐scale sample of industrial firms, this paper links search strategy to innovative performance, finding that searching widely and deeply is curvilinearly (taking an inverted U‐shape) related to performance. Copyright © 2005 John Wiley & Sons, Ltd.
I offer an institutional theory of corporate social responsibility consisting of a series of propositions specifying the conditions under which corporations are likely to behave in socially responsible ways. I argue that the relationship between basic economic conditions and corporate behavior is mediated by several institutional conditions: public and private regulation, the presence of nongovernmental and other independent organizations that monitor corporate behavior, institutionalized norms regarding appropriate corporate behavior, associative behavior among corporations themselves, and organized dialogues among corporations and their stakeholders.
The paper is concerned with spatial clustering of economic activity and its relation to the spatiality of knowledge creation in interactive learning processes. It questions the view that tacit knowledge transfer is confined to local milieus whereas codified knowledge may roam the globe almost frictionlessly. The paper highlights the conditions under which both tacit and codified knowledge can be exchanged locally and globally. A distinction is made between, on the one hand, the learning processes taking place among actors embedded in a community by just being there dubbed buzz and, on the other, the knowledge attained by investing in building channels of communication called pipelines to selected providers located outside the local milieu. It is argued that the co-existence of high levels of buzz and many pipelines may provide firms located in outward-looking and lively clusters with a string of particular advantages not available to outsiders. Finally, some policy implications, stemming from this argument, are identified.
As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportunities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.
Information and communications technologies (ICTs) have enabled the rise of so‐called “Collaborative Consumption” (CC): the peer‐to‐peer‐based activity of obtaining, giving, or sharing the access to goods and services, coordinated through community‐based online services . CC has been expected to alleviate societal problems such as hyper‐consumption, pollution, and poverty by lowering the cost of economic coordination within communities. However, beyond anecdotal evidence, there is a dearth of understanding why people participate in CC . Therefore, in this article we investigate people's motivations to participate in CC . The study employs survey data ( N = 168) gathered from people registered onto a CC site. The results show that participation in CC is motivated by many factors such as its sustainability, enjoyment of the activity as well as economic gains. An interesting detail in the result is that sustainability is not directly associated with participation unless it is at the same time also associated with positive attitudes towards CC . This suggests that sustainability might only be an important factor for those people for whom ecological consumption is important. Furthermore, the results suggest that in CC an attitude‐behavior gap might exist; people perceive the activity positively and say good things about it, but this good attitude does not necessary translate into action.
BACKGROUND: Recent evidence suggests that there is a link between metabolic diseases and bacterial populations in the gut. The aim of this study was to assess the differences between the composition of the intestinal microbiota in humans with type 2 diabetes and non-diabetic persons as control. METHODS AND FINDINGS: The study included 36 male adults with a broad range of age and body-mass indices (BMIs), among which 18 subjects were diagnosed with diabetes type 2. The fecal bacterial composition was investigated by real-time quantitative PCR (qPCR) and in a subgroup of subjects (N = 20) by tag-encoded amplicon pyrosequencing of the V4 region of the 16S rRNA gene. The proportions of phylum Firmicutes and class Clostridia were significantly reduced in the diabetic group compared to the control group (P = 0.03). Furthermore, the ratios of Bacteroidetes to Firmicutes as well as the ratios of Bacteroides-Prevotella group to C. coccoides-E. rectale group correlated positively and significantly with plasma glucose concentration (P = 0.04) but not with BMIs. Similarly, class Betaproteobacteria was highly enriched in diabetic compared to non-diabetic persons (P = 0.02) and positively correlated with plasma glucose (P = 0.04). CONCLUSIONS: The results of this study indicate that type 2 diabetes in humans is associated with compositional changes in intestinal microbiota. The level of glucose tolerance should be considered when linking microbiota with metabolic diseases such as obesity and developing strategies to control metabolic diseases by modifying the gut microbiota.
Many social science studies are based on coded in-depth semistructured interview transcripts. But researchers rarely report or discuss coding reliability in this work. Nor is there much literature on the subject for this type of data. This article presents a procedure for developing coding schemes for such data. It involves standardizing the units of text on which coders work and then improving the coding scheme’s discriminant capability (i.e., reducing coding errors) to an acceptable point as indicated by measures of either intercoder reliability or intercoder agreement. This approach is especially useful for situations where a single knowledgeable coder will code all the transcripts once the coding scheme has been established. This approach can also be used with other types of qualitative data and in other circumstances.
A considerable body of work highlights the relevance of collaborative research, contract research, consulting and informal relationships for university–industry knowledge transfer. We present a systematic review of research on academic scientists’ involvement in these activities to which we refer as ‘academic engagement’. Apart from extracting findings that are generalisable across studies, we ask how academic engagement differs from commercialisation, defined as intellectual property creation and academic entrepreneurship. We identify the individual, organisational and institutional antecedents and consequences of academic engagement, and then compare these findings with the antecedents and consequences of commercialisation. Apart from being more widely practiced, academic engagement is distinct from commercialisation in that it is closely aligned with traditional academic research activities, and pursued by academics to access resources supporting their research agendas. We conclude by identifying future research needs, opportunities for methodological improvement and policy interventions.
ABSTRACT We find consistent value and momentum return premia across eight diverse markets and asset classes, and a strong common factor structure among their returns. Value and momentum returns correlate more strongly across asset classes than passive exposures to the asset classes, but value and momentum are negatively correlated with each other, both within and across asset classes. Our results indicate the presence of common global risks that we characterize with a three‐factor model. Global funding liquidity risk is a partial source of these patterns, which are identifiable only when examining value and momentum jointly across markets. Our findings present a challenge to existing behavioral, institutional, and rational asset pricing theories that largely focus on U.S. equities.
Accumulating evidence implicates metabolites produced by gut microbes as crucial mediators of diet-induced host-microbial cross-talk. Here, we review emerging data suggesting that microbial tryptophan catabolites resulting from proteolysis are influencing host health. These metabolites are suggested to activate the immune system through binding to the aryl hydrocarbon receptor (AHR), enhance the intestinal epithelial barrier, stimulate gastrointestinal motility, as well as secretion of gut hormones, exert anti-inflammatory, anti-oxidative or toxic effects in systemic circulation, and putatively modulate gut microbial composition. Tryptophan catabolites thus affect various physiological processes and may contribute to intestinal and systemic homeostasis in health and disease.
We present a model with leverage and margin constraints that vary across investors and time. We find evidence consistent with each of the model's five central predictions: (1) Because constrained investors bid up high-beta assets, high beta is associated with low alpha, as we find empirically for US equities, 20 international equity markets, Treasury bonds, corporate bonds, and futures. (2) A betting against beta (BAB) factor, which is long leveraged low-beta assets and short high-beta assets, produces significant positive risk-adjusted returns. (3) When funding constraints tighten, the return of the BAB factor is low. (4) Increased funding liquidity risk compresses betas toward one. (5) More constrained investors hold riskier assets.
ABSTRACT This is the first study that uses Merton's (1974) option pricing model to compute default measures for individual firms and assess the effect of default risk on equity returns. The size effect is a default effect, and this is also largely true for the book‐to‐market (BM) effect. Both exist only in segments of the market with high default risk. Default risk is systematic risk. The Fama–French (FF) factors SMB and HML contain some default‐related information, but this is not the main reason that the FF model can explain the cross section of equity returns.
We propose a theory in which each stock's environmental, social, and governance (ESG) score plays two roles: (1) providing information about firm fundamentals and (2) affecting investor preferences. The solution to the investor's portfolio problem is characterized by an ESG-efficient frontier, showing the highest attainable Sharpe ratio for each ESG level. The corresponding portfolios satisfy four-fund separation. Equilibrium asset prices are determined by an ESG-adjusted capital asset pricing model, showing when ESG raises or lowers the required return. Combining several large data sets, we compute the empirical ESG-efficient frontier and show the costs and benefits of responsible investing. Finally, we test our theory's predictions using proxies for E (carbon emissions), S, G, and overall ESG.
Organizational identity usually is portrayed as that which is core, distinctive, and enduring about the character of an organization. We argue that because of the reciprocal interrelationships between identity and image, organizational identity, rather than enduring, is better viewed as a relatively fluid and unstable concept. We further argue that instead of destabilizing an organization, this instability in identity is actually adaptive in accomplishing change. The analysis leads to some provocative, but nonetheless constructive, implications for theory, research, and practice.
Clearer understanding is needed of the premises underlying SI and how it relates to food-system priorities.
As well as review the literature on the notion of institutional entrepreneurship introduced by Paul DiMaggio in 1988, we propose a model of the process of institutional entrepreneurship. We first present theoretical and definitional issues associated with the concept and propose a conceptual account of institutional entrepreneurship that helps to accommodate them. We then present the different phases of the process of institutional entrepreneurship from the emergence of institutional entrepreneurs to their implementation of change. Finally, we highlight future directions for research on institutional entrepreneurship, and conclude with a discussion of its role in strengthening institutional theory as well as, more broadly, the field of organization studies.
While it is generally agreed that companies need to manage their relationships with their stakeholders, the way in which they choose to do so varies considerably. In this paper, it is argued that when companies want to communicate with stakeholders about their CSR initiatives, they need to involve those stakeholders in a two‐way communication process, defined as an ongoing iterative sense‐giving and sense‐making process. The paper also argues that companies need to communicate through carefully crafted and increasingly sophisticated processes. Three CSR communication strategies are developed. Based on empirical illustrations and prior research, the authors argue that managers need to move from ‘informing’ and ‘responding’ to ‘involving’ stakeholders in CSR communication itself. They conclude that managers need to expand the role of stakeholders in corporate CSR communication processes if they want to improve their efforts to build legitimacy, a positive reputation and lasting stakeholder relationships.
In this paper, we present a longitudinal study of organizational responses to environmental changes that induce members to question aspects of their organization's identity. Our findings highlight the role of organizational culture as a source of cues supporting “sensemaking” action carried out by leaders as they reevaluate their conceptualization of their organization, and as a platform for “sensegiving” actions aimed at affecting internal perceptions. Building on evidence from our research, we develop a theoretical framework for understanding how the interplay of construed images and organizational culture shapes changes in institutional claims and shared understandings about the identity of an organization.
A number of possible advantages of industry agglomeration—or spatial clustering—have been identified in the research literature, notably those related to shared costs for infrastructure, the build-up of a skilled labour force, transaction efficiency, and knowledge spillovers leading to firm learning and innovation. We identify two shortcomings of existing research on the clustering phenomenon. First, the abundance of theoretical concepts and explanations stands in sharp contrast with the general lack of work aimed at validating these mechanisms empirically and the contradictory evidence found in recent empirical work in the field. Second, there is still a lack of a unified theoretical framework for analyzing spatial clustering. In an attempt to remedy the latter shortcoming, this paper investigates the nature of the cluster from a knowledge-creation or learning perspective. We argue for the need to establish a specific theory of the cluster where learning occupies centre stage. The basic requirements for such a theory of the cluster are discussed. Two main components of such a theory are identified: it must explain the existence of the cluster on the one hand and its internal organization on the other.
The paper examines the impact of ownership structure on company economic performance in 435 of the largest European companies. Controlling for industry, capital structure and nation effects we find a positive effect of ownership concentration on shareholder value (market-to-book value of equity) and profitability (asset returns), but the effect levels off for high ownership shares. Furthermore we propose and support the hypothesis that the identity of large owners—family, bank, institutional investor, government, and other companies—has important implications for corporate strategy and performance. For example, compared to other owner identities, financial investor ownership is found to be associated with higher shareholder value and profitability, but lower sales growth. The effect of ownership concentration is also found to depend on owner identity. Copyright © 2000 John Wiley & Sons, Ltd.