Some issues in blockchain for accounting and the supply chain,with an application of distributed databases to virtual organizations

This paper reviews some recent blockchain‐based applications for information capture, distribution and preservation. As part of that review, this paper examines two key concerns with current blockchain designs for accounting and supply chain transactions: data independence and multiple semantic models for the same information distribution problem. Blockchain applications typically integrate database, application and presentation tiers all in the same ledger. This results in a general inability to query information in the ledger and other concerns. Further, since most applications appear to be private blockchain applications, there is a concern of agents needing to accommodate multiple blockchains depending on who their trading partners are and what they request. Finally, this paper uses a distributed database to design a ‘blockchain‐like’ system for virtual organizations.     

BUILDING AND EVOLVING DATA WAREHOUSING AND BUSINESS INTELLIGENCE ARTEFACTS: THE CASE OF SYSCO

This paper investigates use of data warehouse and business intelligence capabilities to integrate with customers in the supply chain and improve insights into customer sales. By making internal data warehouse sales information available to customers, additional value to those customers is created, eliminating asymmetries of information in the supply chain. In addition, the evolution of data warehousing into business intelligence is investigated, expanding sales information to include marketing associate performance analysis generated for internal use. Further, a methodology that was used for building a business intelligence system is also examined. Finally, what appears to be a business‐intelligence‐driven focus on enterprise resource planning systems is analyzed. These issues are illustrated using real‐world data warehousing and business intelligence artefacts developed at SYSCO. Copyright © 2012 John Wiley & Sons, Ltd.     

HOUSEHOLD INCOME PLUS HOUSEHOLD PRODUCTION: THE DISTRIBUTION OF EXTENDED INCOME IN THE U.K.

This paper provides new estimates of the distribution of extended income amongst non-elderly, one-family households in the U.K. by combining household money income data and valuations of household production time. Extended income is substantially more equal than money income and extending the income definition changes income relativities significantly between families with and without earners and between married couple families and singles.     

Work identification and responsibility in moral breakdown

This paper provides a detailed study of fraud in practice through an empirical investigation of B.P.Sayers, a family‐owned stockbroking firm that had been in existence for over 100 years and that collapsed due to the fraudulent activities of the firm's junior partner. An interpretive narrative methodology has been employed which has resulted in the development of a detailed understanding of fraud and moral breakdown in organizations, resulting from a failure of responsibility that arises from a dysfunctional work identification and its moral implications. In developing this account of fraud, the conceptual framework utilized is drawn from the moral philosophical work of Emmanuel Levinas who explicated how the breakdown of social relations of responsibility results, in turn, in moral breakdown.     

A net impact analysis of active labour programmes in Hungary

This paper presents estimates of the impact on re-employment and earnings of the two most popular active labour programmes used during the economic transition in Hungary: retraining and public service employment (PSE). To adjust for non-random assignment of programme participants, net impacts were computed using matched pair samples and regression models. The evidence suggests retraining may improve the chance for reemployment, is unlikely to improve re-employment earnings, but may improve job durability. Net societal benefits could be improved by retraining relatively more males, older persons, and those with less education. PSE does not appear to provide a reliable path to a regular non-subsidized job, and may even lower re-employment earnings. PSE might best be viewed as an income transfer programme having the collateral benefit of maintaining basic work habits. The net societal impact of PSE could increase if it involved relatively more females and older persons.     

Managing Operational Flexibility in Investment Decisions: The Case of Intel

Significant attention has been paid to how real options analysis can help in valuing operating flexibility when making major capital investment decisions. But there has been far less study of how to manage such flexibility, particularly in cases where a decision to defer, contract, or expand any one investment program affects a range of other programs, including those outside the firm. Such interrelated investments are increasingly common in a "connected" economy where products and technologies are designed across firms and industries.
Based on a field study at Intel, this paper describes and analyzes one set of practices for coordinating such diverse systems of investments. It shows how information about interrelated investments is communicated within and between companies so that coherent changes can be made at the level of an overall system. The authors argue that studies of investment appraisal need to move beyond the predominant focus on valuation to encompass the wider organizational processes by which operational flexibility is exercised in the modern economy.     

A Google–Wikipedia–Twitter Model as a Leading Indicator of the Numbers of Coronavirus Deaths

Forecasting the number of cases and the number of deaths in a pandemic provides critical information to governments and health officials, as seen in the management of the coronavirus outbreak. But things change. Thus, there is a constant search for real‐time and leading indicator variables that can provide insights into disease propagation models. Researchers have found that information about social media and search engine use can provide insights into the diffusion of flu and other diseases. Consistent with this finding, we found that a model with the number of Google searches, Twitter tweets, and Wikipedia page views provides a leading indicator model of the number of people in the USA who will become infected and die from the coronavirus. Although we focus on the current coronavirus pandemic, other recent viruses have threatened pandemics (e.g. severe acute respiratory syndrome). Since future and existing diseases are likely to follow a similar search for information, our insights may prove fruitful in dealing with the coronavirus and other such diseases, particularly in the early phases of the disease. Subject terms : coronavirus, COVID‐19, unintentional crowd, Google searches, Wikipedia page views, Twitter tweets, models of disease diffusion.     

Road bowling in Ireland: social space and the context of context

ABSTRACT

Consumer research has offered a multitude of understandings of space. While these insights have contributed both to absolute and relativistic appreciations, the discourse has tended more often towards absolute representations. Through an examination of Irish road bowling, built from a four-year ethnography, we position Henri Lefebvre’s triadic model of social space as a heuristic device that may be used to further relativistic representations of space. In doing so we expose how Irish road bowlers produce space on public roads. We find that such space and the actions of road bowlers within it are deeply influenced by both historic and contemporary socio-cultural discourses. In this way, we highlight how Lefebvre can be used to get at the context of context and offer an alternative understanding of normative and existential communitas.     

Enterprise knowledge graphs with applications to continuous monitoring systems

Continuous monitoring systems generate continuous business intelligence by gathering text from a range of sources and typically storing that text information using snippets of text. Further, continuous monitoring systems derive information from those snippets, such as sentiment and new concepts emerging in the text, beyond the existing ontology and dictionaries. However, it is difficult for users to gather much additional information from large quantities of text snippets. As a result, this paper investigates introducing the notion of “knowledge graphs” into such systems and analyzes some of the potential applications and capabilities in business intelligence settings. As part of that analysis, this paper extends current-generation continuous monitoring systems to include knowledge graphs.