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The ownership structure of a corporation can alleviate the agency problem that arises between shareholders and managers of a corporation, which implies that the ownership composition of a firm may infl uence the level of voluntary disclosure. This study investigates whether the ownership structure of U. S. based multinational corporations affects the managerial decision to voluntarily disclose quarterly foreign segment data. The empirical results show that the three ownership variables of interest, institutional stock ownership, managerial stock ownership and outside blockholder stock ownership are inversely related to the level of voluntary disclosure of quarterly foreign segment data. Therefore, it is inferred that an increase in the proportion of outstanding common stock held by these ownership groups is accompanied by a decrease in the probability that a U.S. multinational firm voluntarily discloses quarterly foreign segment data.

The question over who “owns” and controls consumer data on the internet is emerging as an important issue as individuals increasingly share more of their personal information with marketers in return for services and benefits. This paper aims to examine how compensating consumers for their personal information affects their expectations for data ownership and privacy control.

The authors conduct two online scenario-based experiments with a sample of adult consumers. The results were analyzed using multivariate and univariate analysis of variance.

The findings show that receiving compensation, especially when it is a monetary reward, reduces consumer expectations for privacy protection. These effects depend on whether the information provided to marketers is perceived to be sensitive in nature.

While a number of privacy studies have investigated the effects of compensation on encouraging self-disclosure on the internet, there is a lack of research that examines the effect of compensation on privacy expectations. To the authors' knowledge, this is the first paper to test empirically the construct of information ownership in the context of privacy exchanges.

Smart city projects typically operate in consortia of actors that lead to the co-creation of jointly owned intellectual property (IP) and data. While IP and data are significant for economic development, there are very limited studies on their co-ownership regimes especially on co-ownership of open data and open intellectual property. This study address this gap.

This study is qualitative. In total, 62 in-depth semi-structured interviews were carried out, with predominantly senior members of organisations actively involved in smart city projects. Thematic analysis was used to analyse the data.

There are three models of co-ownership of IP and data: contractual joint ownership, undetermined or not-yet-determined ownership and open ownership. Each ownership model impacts differently the value-in-use. The relationships between actors in the consortia affect the way in which they co-create IP and data.

This study demonstrates how projects that operate in new models of innovation-led consortia produce new types of resources that are not simply co-created but co-owned. Co-owned resources have different value-in-use for each one of the different actors, independently of the fact that they jointly own them. This is influenced by the type of ownership model and predisposition of the actors to initially share resources and be flexible. Co-owned resources may generate future value propositions, act as interconnected operant resources and lead to the creation of new business models.

Distributed trust technologies, such as blockchain, propose to permit peer-to-peer transactions without trusted third parties. Yet not all implementations of such technologies fully decentralize. Information professionals make strategic choices about the level of decentralization when implementing such solutions, and many organizations are taking a hybrid (i.e. partially decentralized) approach to the implementation of distributed trust technologies. This paper conjectures that while hybrid approaches may resolve some challenges of decentralizing information governance, they also introduce others. To better understand these challenges, this paper aims first to elaborate a framework that conceptualizes a centralized–decentralized information governance continuum along three distinct dimensions: custody, ownership and right to access data. This paper then applies this framework to two illustrative blockchain case studies – a pilot Brazilian land transfer recording solution and a Canadian health data consent sharing project – to exemplify how the current transition state of blockchain pilots straddles both the old (centralized) and new (decentralized) worlds. Finally, this paper outlines the novel challenges that hybrid approaches introduce for information governance and what information professionals should do to navigate this thorny transition period. Counterintuitively, it may be much better for information professionals to embrace decentralization when implementing distributed trust technologies, as hybrid models could offer the worst of both the centralized and future decentralized worlds when consideration is given to the balance between information governance risks and new strategic business opportunities.

This paper illustrates how blockchain is transforming organizations and societies by highlighting new strategic information governance challenges using our original analytic framework in two detailed blockchain case studies – a pilot solution in Brazil to record land transfers (Flores et al., 2018) and another in Canada to handle health data sharing consent (Hofman et al., 2018). The two case studies represent research output of the first phase of an ongoing multidisciplinary research project focused on gaining an understanding of how blockchain technology generates organizational, societal and data transformations and challenges. The analytic framework was developed inductively from a thematic synthesis of the findings of the case studies conducted under the auspices of this research project. Each case discussed in detail in this paper was chosen from among the project's case studies, as it represents a desire to move away from the old centralized world of information governance to a new decentralized one. However, each case study also represents and embodies a transition state between the old and new worlds and highlights many of the associated strategic information governance challenges.

Decentralization continues to disrupt organizations and societies. New emerging distributed trust technologies such as blockchain break the old rules with respect to the trust and authority structures of organizations and how records and data are created, managed and used. While governments and businesses around the world clearly see value in this technology to drive business efficiency, open up new market opportunities and create new forms of value, these advantages will not come without challenges. For information executives then, the question is not if they will be disrupted, but how. Understanding the how as will be discussed in this paper provides the business know how to leverage the incredible innovation and transformation that decentralized trust technology enables before being leapfrogged by another organization. It requires a change of mindset to consider an organization as one part of a broader ecosystem, and for those who successfully do so, this paper views this as a strategic opportunity for those responsible for strategic information governance to design the future instead of being disrupted by it.

This paper presents a novel analytic framework for strategic information governance challenges as we transition from a traditional world of centralized records and information management to a new decentralized world. This paper analyzes these transitions and their implications for strategic information governance along three trajectories: custody, ownership and right to access records and data, illustrating with reference to our case studies.

This paper predicts a large number of organizations will miss the opportunities of the new decentralized trust world, resulting in a rather major churning of organizations, as those who successfully participate in building the new model will outcompete those stuck in the old world or the extremely problematic hybrid transition state. Counterintuitively, this paper argues that it may be much less complex for information executives to embrace decentralization as fast as they can, as in some ways the hybrid model seems to offer the worst of both the centralized and future decentralized worlds with respect to information governance risks.

This paper anticipates broader societal consequences of the predicted organization churn, in particular with respect to uncertainty about the evidence that records provide for public accountability and contractual rights and entitlements.

Decentralized trust technologies, such as blockchain, permit peer-to-peer transactions without trusted third parties. Of course, such radical shifts do not happen overnight. The current transition state of blockchain pilots straddles both the old and new worlds. This paper presents a theoretical framework categorizing strategic information governance challenges on a spectrum of centralized to decentralized in three primary areas: custody, ownership and right to access records and data. To illustrate how decentralized trust is transforming organizations and societies, this paper presents these strategic information governance challenges in two blockchain case studies – a pilot Brazilian land transfer recording solution and a Canadian health data consent sharing project. Drawing on the theoretical framework and case studies, this paper outlines what information executives should do to navigate this thorny transition period.

In this paper, we explore an extensive panel data set covering more than 4,000 listed firms in 16 European countries to study the effects of shareholder protection on ownership structure and firm performance. We document a negative firm-level correlation between shareholder protection and ownership concentration. Differentiating between shareholder types, we find that this pattern is mainly driven by strategic investors. In contrast, we find a positive correlation between shareholder protection and block ownership of institutional investors, in particular when we restrict the analysis to independent institutional investors. Finally, we find that independent institutional investors are positively associated with firm valuation as measured by Tobin’s Q. The opposite applies for strategic investors. Overall, our results are consistent with the view that (i) high shareholder protection and (ii) limited ownership by strategic investors make small investors and investors interested in security returns more confident in their investments.

This paper examines the relationship between television station ownership characteristics and local news and public affairs programming through an expanded analysis of data from the Federal Communication's Commission (FCC's) recent study of Big Four broadcast network affiliates. The results indicate that the FCC's conclusion that network‐owned and operated stations provide more local news and public affairs programming than other affiliates, and that stations with newspaper holdings provide more local news and public affairs programming than stations without newspaper holdings holds up only when these two program types are analyzed in combination. When these two program types are analyzed independently, and when additional explanatory factors are taken into consideration, these ownership characteristics are positively related to news programming, but not to public affairs programming.

This paper aims to provide a framework of the multidimensional concept of one master data. Preconditions required for successful one master data implementation and usage in large high‐tech companies are presented and related current challenges companies have today are identified.

This paper is qualitative in nature. First, literature was studied to find out the elements of one master data. Second, an interview study was carried out in eight high‐tech companies and in three expert companies.

One master data management framework is the composition of data, processes and information systems. Accordingly, the key challenges related to the data are that the definitions of master data are unclear and overall data quality is poor. Challenges on processes related to managing master data are inadequately defined data ownership, incoherent data management practices and lack of continuous data quality practices. Integrations between applications are fundamental challenge to tackle when constructing an holistic one master data.

Studied companies are vanguards in the area of master data management (MDM), providing good views on topical issues in large companies. This study offers a general view of the topic but not describes special company situations as companies need to adapt the presented concepts for their specific case. Significant implication for future research is that MDM can no more be classified and discussed as only an IT problem but it is a managerial challenge which requires structural changes on mindset how issues are handled.

This paper provides a better understanding over the issues which are impacting on the implementation of one master data. The preconditions of implementing and executing one master data are: an organization wide and defined data model; clear data ownership definitions; pro‐active data quality surveillance; data friendly company culture; the clear definitions of roles and responsibilities; organizational structure that supports data processes; clear data process definitions; support from the managerial level; and information systems that utilize the unified data model. The list of preconditions is wide and it also describes the incoherence of current understanding about MDM. This list helps business managers to understand the extent of the concept and to see that master data management is not only an IT issue.

The existing practical research on master data management is limited and, for example, the general challenges have not been reported earlier. This paper offers practical research on one master data. The obtained results illustrates the extent of the topic and the fact that business relevant data management is not only an IT (application) issue but requires understanding of the data, its utilization in organization and supporting practices such as data ownership.

Franchising has long been seen as an avenue into small business. For some, it offers opportunities to build up franchise systems, as franchisors, by cloning small business success in exchange for a royalty. For many others, as franchisees, it offers opportunities for self‐employment, combining elements of the independence normally associated with self‐employment allied with the security derived from association with a tried‐and‐tested business system. However, there is an ongoing debate, the ownership redirection thesis, which suggests that franchise systems will only characteristically seek to involve franchisees in their business growth strategies during the early phases of business development. Thereafter, when finance, human capital and local market intelligence resources are no longer at a premium, the thesis predicts, franchisors will reduce their dependence on franchising with franchisees the prime casualties. Assesses the available evidence on the ownership redirection thesis and offers some fresh data on the issue.

Prior studies identified a need for further comparison of data-sharing practices across different disciplines and communities. Toward addressing this need, the purpose of this paper is to examine the data-sharing practices of the earthquake engineering (EE) community, which could help inform data-sharing policies in EE and provide different stakeholders of the EE community with suggestions regarding data management and curation.

This study conducted qualitative semi-structured interviews with 16 EE researchers to gain an understanding of which data might be shared, with whom, under what conditions and why; and their perceptions of data ownership.

This study identified 29 data-sharing factors categorized into five groups. Requirements from funding agencies and academic genealogy were frequent impacts on EE researchers’ data-sharing practices. EE researchers were uncertain of data ownership and their perceptions varied.

Based on the findings, this study provides funding agencies, research institutions, data repositories and other stakeholders of the EE community with suggestions, such as allowing researchers to adjust the timeframe they can withhold data based on project size and the amount of experimental data generated; expanding the types and states of data required to share; defining data ownership in grant requirements; integrating data sharing and curation into curriculum; and collaborating with library and information schools for curriculum development.

This paper aims to discuss the concepts of co-creation and value-in-use with a specific focus on big data technology in agriculture. The authors provide a unique narrative of how farmers experience co-creation and value-in-use in monetary and non-monetary forms.

The qualitative study is based on semi-structured interviews with mid-Western farmers. The constant comparative method was used for coding the data. Results were analyzed through open and axial coding, and matrix queries helped establish linkages between different concepts via NVivo 12.

The paper provides rich insight into co-creation through direct and indirect interaction, autonomous co-creation and epistemic, monetary and environmental value-in-use in the digital agriculture sector. Interestingly, co-creation through indirect interaction gives rise to epistemic value-in-use. Also, value-co-destruction can undermine co-creation, while relational actors and the concept of psychological ownership are very relevant to the process of co-creation.

The authors build on the extant literature on co-creation in knowledge-intensive B2B sectors with the unique findings linking different forms of co-creation with value-in-use.

The findings on co-creation and value-in-use are beneficial to diverse agriculture stakeholders such as farmers, agriculture technology providers, extension agents and policymakers. Agricultural technology providers can determine how to make the co-creation process more meaningful for farmers and also create suitable technology tools that enrich farmers’ knowledge about crop management. Agricultural stakeholders can learn how to develop big data analytic tools and marketing narratives to maximize value-in-use and pre-empt value co-destruction.

The research can impact policy, as it addresses a very relevant issue of how farmers relate to big data technology amidst growing consolidation and privacy concerns in the digital agriculture sector.

Our work is both theoretically and contextually relevant. We incorporate elements of service-dominant and customer-dominant logic while analyzing farmers’ perspectives of co-creation and value-in-use.