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Distributed data streams are an important topic of current research. In such a setting, data values will be missed, e.g. due to network errors. This paper aims to allow this incompleteness to be detected and overcome with either the user not being affected or the effects of the incompleteness being reported to the user.

A model for representing the incomplete information has been developed that captures the information that is known about the missing data. Techniques for query answering involving certain and possible answer sets have been extended so that queries over incomplete data stream histories can be answered.

It is possible to detect when a distributed data stream is missing one or more values. When such data values are missing there will be some information that is known about the data and this is stored in an appropriate format. Even when the available data are incomplete, it is possible in some circumstances to answer a query completely. When this is not possible, additional meta‐data can be returned to inform the user of the effects of the incompleteness.

The techniques and models proposed in this paper have only been partially implemented.

The proposed system is general and can be applied wherever there is a need to query the history of distributed data streams. The work in this paper enables the system to answer queries when there are missing values in the data.

This paper presents a general model of how to detect, represent, and answer historical queries over incomplete distributed data streams.

Perceived environmental uncertainty (PEU) is a foundational concept in organization studies. The PEU typologies used in organizational research were developed using private sector managers. But, do public sector managers perceive the same uncertainty sources? We asked public sector managers in Hong Kong to identify and group uncertainty sources facing their organizations. Multidimensional scaling and cluster analysis yielded classes of uncertainty sources that differ from those developed using private sector managers.

Despite increasing interest in business model innovation (BMI), there is only limited scholarship that examines how business model (BM) innovators present and explain their innovations to various stakeholders. As BMI often involves the creation of a new ecosystem, understanding how innovators can gain support of future ecosystem members is important. Based on a longitudinal case study of Salesforce, a pioneer in cloud computing, the authors show how the innovator’s skillful framing to different audiences fosters the emergence of an ecosystem around the new BM. The authors suggest that effective framing constitutes an important strategic process that enables BM innovators to shape new ecosystems due to the performative power of words.

The purpose of this paper is to apply the concept of framing in the field of risk governance and risk management research.

A five-constituent approach to framing – cognitive, strategic, action, emotional and institutional framing – is applied to contrastively analyze the multifaceted character of the two concepts of risk governance and risk management.

This paper analyzes the multifaceted utilization of risk governance framing and the conscious demarcation between risk governance and risk management. Risk governance framing strengthens the proactive control of strategic risks with regard to business model adaptation to changing risk landscapes. The verbal imagery of risk governance already sets the agenda for the sustainability-oriented as well as value-oriented steering of the risks of a business model. Following the analysis of the different framing areas, propositions are presented.

Although framing is applied in various academic disciplines, there is limited research relating to corporate risks. While risk governance provides companies with a concept to ensure the sustainability of their business models in the complex risk landscape, the related framing brings the appropriate interpretation and the deliberate tone into focus.

SO much controversy has raged around the subject of newsrooms in the past two years, that librarians are, as a rule, utterly tired of it, and the appearance of still another article upon the subject is not calculated to tone down the general spirit of vexation. It requires no little courage to appear in the arena in this year of Grace, openly championing those departments of our institutions which were originally intended to convey the news of the day in the broadest manner.

This study aims to examine Erving Goffman’s contributions to management, arguing that he is an unrecognized management guru despite being widely regarded as a sociological theorist.

Using citation context analysis, this research analyzes 806 articles citing Goffman’s works across eight major management journals. This method involves coding articles from various perspectives, including the content itself, its temporal dynamics, depth and criticalness.

All 11 of Goffman’s books have been cited in management studies with increasing frequency and depth, supporting theories such as impression management and stigma management. Yet, only 10.8% of these articles provide empirical support, and 1.6% challenge his ideas, indicating a ritualistic reverence rather than rigorous scrutiny of his theories in management scholarship.

This study excludes other high-quality journals and involves subjective judgment in coding. In addition, this study’s insights into Goffman’s selective attention and growing prominence remain speculative. Future research could broaden journal coverage, survey scholars’ citation motivations, and apply a difference-in-differences approach to identify causal factors.

Goffman’s concepts of stigma, impression management and framing are frequently cited by management scholars, reflecting societal concerns for marginalized groups and a quest for authenticity, thus prompting deeper exploration of Goffman’s seminal works.

To the best of the authors’ knowledge, this is the first study to empirically analyze his impact on management, offering new insights into his influence in the field.

Despite the growing numbers of internationally active nonprofit organizations (NPOs), research on various facets of NPOs’ internationalization has been limited. The purpose of this paper is to investigate the impact of target-country related factors on international market selection of NPOs.

Analysis is based on a logistic regression procedure using a self-compiled data set of 2,440 observations of de-facto entry or non-entry occurrences made by 19 large development-focused NPOs.

The study reveals that NPOs select target markets that are less developed, characterized by greater risk profiles, where other NPOs tend to cluster, and those that are preferred by their home-country governments. Moreover, findings suggest that with respect to institutional strength, NPOs balance mission to help strengthen institutions where needed, and avoidance of environments with extremely dysfunctional institutions, hence opting to operate in environments with medium levels of institutional strength.

The study only looked at external environmental factors, it must be acknowledged that a more complete understanding of NPO market selection decisions must also include variables internal to the organization. Further the study is based on a sample of NPOs dealing with poverty alleviation, which limits the generalization. Finally, the use of data from secondary sources creates its own limitations.

This study represents one of the few cross country studies done on the area, thus contributing for the development of the field.

The purpose of this study is to examine the association of managerial incentives and political costs with hospital financial distress, recovery or closure. The Medicare Payment Advisory Commission has stated that hospital closures are important for evaluating the distribution of cost, quality and access to healthcare throughout the US. Using Logistic regression, we demonstrate that hospital closure is associated with low occupancy, return on investment, asset turnover, and lack of affiliation with a multihospital system. It is also significantly associated with urban location, teaching programs, high Medicare and Medicaid patient populations, and high debt. Essential access nonprofit hospitals are less likely to close, while this does not affect governmental and for-profit hospitals. Our research hypotheses are supported by these results.