Open Information Enterprise Transactions: Business Intelligence and Wash and Spoof Transactions in Blockchain and Social Commerce

This paper investigates what are referred to as ‘open information transactions’. Such transactions are in contrast to traditional transactions, where typically two parties to a transaction are the only ones with information about the transaction. For example, in a sale, the seller and the purchaser typically are the only ones with information about the transaction. However, some emerging technologies, such as blockchain accounting, supply chain social media, and hashtag commerce are making information about the transactions potentially openly available to others. This paper investigates some of the implications and strategies that include the use of that open information. For example, open information in accounting and supply chain transactions provides the potential for both business intelligence analysis of the information and possibly misleading and illusory transactions, analogous to those that have garnered the recent attention of the Justice Department in cryptocurrencies. Finally, this paper suggests that blockchain transaction processing will provide reliable information in those settings where there is a “single truth” feed of information flow for the phenomena of interest, no ability to do off‐blockchain transactions (or a large penalty cost) and limitation to a single identity for each enterprise on the blockchain.  

Configuring blockchain architectures for transaction information in blockchain consortiums: The case of accounting and supply chain systems

This paper investigates alternative configurations of different blockchain architectures that can be used for gathering and processing transactions in a range of different settings, including accounting, auditing, supply chain and other types of transaction information. Although there has been substantial focus on the peer‐to‐peer and public versions of blockchain, this paper focuses primarily on cloud‐based and private configuration versions of blockchains and investigates use configurations, advantages and limitations as firms bring blockchain‐based market mechanisms into their organizations. In addition, this paper investigates some emerging issues associated with blockchain use in consortium settings. Finally, this paper relates some proposed uses of blockchain for transaction processing to other technologies, such as data warehouses and databases.  

‘BIG DATA’, THE ‘INTERNET OF THINGS’ AND THE ‘INTERNET OF SIGNS’

This paper examines the relationship between so‐called ‘Big Data’, the ‘Internet of Things’ (the ‘Internet of People and Things,’ and the ‘Internet of Everything’), and the ‘Internet of Signs.’ In particular, we investigate how the ‘things’ in the ‘Internet of Things’ generate ‘Big Data’, and how both are used to generate semiotic ‘signs’. In addition, we analyse the importance of context in and the relationships between ‘Big Data’, the ‘Internet of Things’, and the ‘Internet of Signs’. Copyright © 2013 John Wiley & Sons, Ltd.  

THE USE OF SOCIAL MEDIA IN THE SUPPLY CHAIN: SURVEY AND EXTENSIONS

This paper investigates the capabilities of social media, such as Facebook, Twitter, Delicious, Digg and others, for their current and potential impact on the supply chain. In particular, this paper examines the use of social media to capture the impact on supply‐chain events and develop a context for those events. This paper also analyses the use of social media in the supply chain to build relationships among supply‐chain participants. Further, this paper investigates the of use of user‐supplied tags as a basis of evaluating and extending an ontology for supply chains. In addition, using knowledge discovery from social media, a number of concepts related to the supply chain are examined, including supply‐chain reputation and influence within the supply chain. Prediction markets are analysed for their potential use in supply chains. Finally, this paper investigates the integration of traditional knowledge management along with knowledge generated from social media. Copyright © 2011 John Wiley & Sons, Ltd.  

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.  

Intelligent Systems in Accounting,Finance and Management: ISI journal and proceeding citations,and research issues from most‐cited papers

This paper analyses the citations from Intelligent Systems in Accounting, Finance and Management that have occurred in ISI's Web of Knowledge in February 2010. I found roughly 1000 citations to the journal under 10 different journal name abbreviations, with roughly 25% of the citations occurring during 2008–2009, associated with 27 of the more frequently cited papers. Using that citation data, the H‐index and the 40 (42 with ties) most‐cited papers are presented. I found that ISI's new proceedings data appear to have a different citation pattern than ISI's journal citation data, resulting in citations to more sources, but fewer citations per source. I also examine the research methodologies and applications of the most‐cited papers in an attempt to determine what areas have been cited most and where there are potential gaps in the research. Copyright © 2010 John Wiley & Sons, Ltd.  

The impact of manager philosophy on knowledge management systems

This paper analyses how information about managers and technology can be used to provide those managers with a system that is congruent with their needs. In particular, using McGregor's Theories X and Y philosophies, managerial needs are elicited and then contemporary knowledge management technologies, including intelligent agents, and the way they are implemented, are analysed to determine how they meet those manager needs. Different knowledge management technologies are found to be important to manifesting the requirements of particular management philosophies. For example, ‘Theory X’ appears consistent with use of intelligent agents to ‘monitor’ behaviour. This leads to the concept of ‘technology congruence’, where the choice of the technology ultimately is tied to which view of the world the manager employs. Copyright © 2010 John Wiley & Sons, Ltd.  

A comparative analysis of the evolution of a taxonomy for best practices: a case for ‘knowledge efficiency’

Taxonomies play an increasingly important role in knowledge management of business best practices, providing a basis by which to index, find and communicate knowledge. However, knowledge continues to evolve over time. As a result, taxonomies must also continue to evolve as organizations innovate and change. Reportedly, firms customize best‐practice taxonomies to meet their unique organization needs. Accordingly, we might expect organizations to generate dissimilar best‐practice taxonomies. However, taxonomies must also reflect the state of knowledge in the area being categorized, and thus are likely to be similar in many ways in different organizations. The purpose of this paper is to study how taxonomies change in different organizations and how they stay the same. In order to explain the parallels in organizational taxonomies, the notion of ‘knowledge artefact efficiency’ (or knowledge efficiency) is suggested to capture the concept that new knowledge is rapidly adopted by many organizations in their knowledge management systems. Copyright © 2009 John Wiley & Sons, Ltd.