Information Flow and Network of Interpersonal Ties in the Fixed-Income Market

The $45 trillion fixed-income market still makes little use of the electronic marketplace. Our research findings show this to be mainly due to the market structure of embedded interpersonal ties, which allow participants to take advantage of information asymmetry for profit taking. This research-in-progress, based on ethnographic data and face-to-face interviews with 72 fixed- income senior managers and traders from 20 financial institutions, provides a unique insight into the information flow and networks of interpersonal ties in a fixed income market for market makers

State of Information Technology Support for Traders in Fixed Income Markets

A fixed-income security is defined as one whose income stream is fixed for the duration of the loan and where the maturity and face value are known. It is estimated that the global fixed-income market is about $40 trillion with the US having the lion’s share of$19 trillion. There were at least 74 trading platforms in North America and Europe in 2004. However, it is estimated that only about five percent of fixed-income trade is performed through electronic transaction systems. This is very low when compared with use of information systems in support of equity trade. Our research is guided by the following central question: What are the implications of using IT to mediate electronic brokerage relationships that are enacted through the work practices and interactions of actors representing buyers and sellers in financial institutions within the context of fixed income market. This paper, based on interviews with the senior managements and traders of 10 major financial institutions, provides an overview of information system support for traders in fixed-income trade markets

Know-how to lead digital transformation: The case of local governments

Local governments are in an ideal position to integrate government, private, and citizen data to deliver beneficial new digitally enabled public services. However, progress toward achieving the benefits has stagnated in many cases. This is because managers lack the requisite know-how to lead the implementation and enactment of integrated enterprise systems to improve the processes of public service delivery, part of a journey called ‘digital transformation’. If digital transformations are to progress, we need more nuanced empirical elaboration of the know-how managers require. To that end, this study reports evidence from case studies in 11 local governments in Canada. The findings provide the empirical basis for a theory of the know-how managers require to lead the implementation and enactment of integrated enterprise systems in support of digital transformation. We then propose a new theoretical model of how to transfer that requisite know-how to managers through public-private partnerships, and thereby mitigate barriers to that transfer

On the Effectiveness of eWOM Communications: the Moderating Effect of Consumers\u27 Prior Experience

Electronic word of mouth (eWOM) are online consumer-generated communications that are expected to affect consumers’ perceptions of adopting online services. While adoption of an online service consists of pre and post-usage stages, much of literature implicitly assumes that the effectiveness of positive/negative eWOM is the same across the two stages. In this paper, we draw on the accessibility-diagnosticity model and elaboration likelihood model to show that the effectiveness of eWOM on consumers’ perceptions of adopting experience services is contingent on: (1) the stage of the service adoption, (2) consumers’ prior experience with the context of the eWOM communications, and (3) the eWOM communications framing (i.e., positive and negative). Our findings explain that the confluence of aforementioned factors determines the effectiveness of eWOM communications

Assessment of Ubiquitous Healthcare Information Systems Benefits

Health is a fully individualized concern, and is therefore inherently mobile. Thus, Ubiquitous Healthcare Information Systems can enable a much-needed patient-centered care environment. This paper presents a decision support system that makes use of system dynamics methodologies in order to assess the improved health benefits that may be realized within the context of ubiquitous healthcare information systems in support of managing diabetes

Motivating CIO Advice Networking to Improve Firm Performance

Prior research has examined factors that motivate executives in general to seek advice from external peers. The literature is silent however regarding what IT governance mechanisms motivate CIOs to mindfully seek advice in their external advice networks. Our research shows that simply applying the advice of the prior literature in the CIO and IT governance context can be counterproductive. We analyze data from a survey of 99 municipal corporations to show that an effective configuration of IT governance mechanisms fits and changes over time with the firm’s financial performance and state of IT enactment. The lessons learned are instructive for practitioners, while also highlighting the importance of attending to context in IT governance research

Antecedents and effects of trust in forecasting advice

Forecasting support systems (FSSs) have little value if users distrust the information and advice that they offer. Two experiments were used to investigate: (i) factors that influence the levels of users' stated trust in advice provided by an FSS, when this advice is provided in the form of interval forecasts, (ii) the extent to which stated trust is associated with users' modifications of the provided forecasts, and (iii) the consequences of these modifications for the calibration of the interval forecasts. Stated trust was influenced by the levels of noise in time series and whether a trend was present but was unaffected by the presence or absence of point forecasts. It was also higher when the intervals were framed as 'best-case/worst-case' forecasts and when the FSS provided explanations. Absence of trust was associated with a tendency to narrow the provided prediction intervals, which reduced their calibration. (C) 2012 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved

Factors influencing AIS effectiveness among manufacturing SMEs: Evidence from Malaysia

This study examines accounting information systems (AIS) effectiveness and its influence factors in the specific context of small and medium manufacturing enterprises (SMEs) in Malaysia. The proposed model examines the impact of AIS sophistication, manager participation in AIS implementation, manager AIS knowledge, manager accounting knowledge, and effectiveness of external experts such as vendors, consultants, government agencies, and accounting firms on AIS effectiveness. We included 232 SMEs registered with the Federation of Malaysian Manufacturers (FMM) in testing the model. The results show that manager accounting knowledge, and the effectiveness of vendors and accounting firms significantly contributed to AIS effectiveness. Overall, this study suggests that managers of SMEs need to acquire sufficient accounting knowledge to better understand business information requirements. Second, SMEs should engage qualified vendors who have experience and understand unique characteristics of SME to overcome their lack of AIS knowledge. SMEs should also exploit their good relationship with accounting firms to help them implement effective AIS. Finally, it is important for SMEs to learn from AIS implementation so that opportunities can be recognized and priority can be given to those initiatives that support their information needs

Exploratory information searching in the enterprise: A study of user satisfaction and task performance

No prior research has been identified which investigates the causal factors for workplace exploratory search task performance. The impact of user, task and environmental factors on user satisfaction and task performance was investigated through a mixed methods study with 26 experienced information professionals using enterprise search in an oil and gas enterprise. Some participants found 75% of high value items, others found none with an average of 27%. No association was found between self-reported search expertise and task performance, with a tendency for many participants to overestimate their search expertise. Successful searchers may have more accurate mental models of both search systems and the information space. Organizations may not have effective exploratory search task performance feedback loops, a lack of learning. This may be caused by management bias towards technology not capability, a lack of systems thinking. Furthermore, organizations may not ‘know’ they ‘don’t know’ their true level of search expertise, a lack of knowing. A metamodel is presented identifying the causal factors for workplace exploratory search task performance. Semi-structured qualitative interviews with search staff from the Defence, Pharmaceutical and Aerospace sectors indicates the potential transferability of the finding that organizations may not know their search expertise levels