Russell L. Purvis

Controlling Information Systems Development Projects: The View from the Client

Increasingly, business clients are actively leading information systems (IS) projects, often in collaboration with IS professionals, and they are exercising a greater degree of project control. Control is defined as all attempts to motivate individuals to achieve desired objectives, and it can be exercised via formal and informal modes. Much of the previous research investigating the choice of control mode has focused on direct reporting relationships between IS project leaders and their superiors in a hierarchical setting. However, the client-IS relationships may take on a variety of forms, including both hierarchical and lateral settings. Moreover, prior research has found that the knowledge of the systems development process is a key antecedent of control, yet clients are unlikely to be as knowledgeable as IS professionals about this process. It is therefore unclear whether prior findings will generalize to the client-IS pair, and the goal of this research is to examine the exercise of control across this relationship. Data were gathered from a questionnaire survey of 69 pairs of clients and IS project leaders. The results are largely consistent with prior research on the antecedents offormal control modes, but they shed new insight on the choice ofinformal control modes.

Technostress: technological antecedents and implications

With the proliferation and ubiquity of information and communication technologies (ICTs), it is becoming imperative for individuals to constantly engage with these technologies in order to get work accomplished. Academic literature, popular press, and anecdotal evidence suggest that ICTs are responsible for increased stress levels in individuals (known as technostress). However, despite the influence of stress on health costs and productivity, it is not very clear which characteristics of ICTs create stress. We draw from IS and stress research to build and test a model of technostress. The person-environment fit model is used as a theoretical lens. The research model proposes that certain technology characteristics--like usability (usefulness, complexity, and reliability), intrusiveness (presenteeism, anonymity), and dynamism (pace of change)--are related to stressors (work overload, role ambiguity, invasion of privacy, work-home conflict, and job insecurity). Field data from 661 working professionals was obtained and analyzed. The results clearly suggest the prevalence of technostress and the hypotheses from the model are generally supported. Work overload and role ambiguity are found to be the two most dominant stressors, whereas intrusive technology characteristics are found to be the dominant predictors of stressors. The results open up new avenues for research by highlighting the incidence of technostress in organizations and possible interventions to alleviate it.

Stock market trading rule discovery using technical charting heuristics

Abstract In this case study in knowledge engineering and data mining, we implement a recognizer for two variations of the ‘bull flag’ technical charting heuristic and use this recognizer to discover trading rules on the NYSE Composite Index. Out-of-sample results indicate that these rules are effective.

An analysis of a hybrid neural network and pattern recognition technique for predicting short-term increases in the NYSE composite index

We introduce a method for combining template matching, from pattern recognition, and the feed-forward neural network, from artificial intelligence, to forecast stock market activity. We evaluate the effectiveness of the method for forecasting increases in the New York Stock Exchange Composite Index at a 5 trading day horizon. Results indicate that the technique is capable of returning results that are superior to those attained by random choice.

Market timing: a test of a charting heuristic

Abstract We implement a graphical (or ‘charting’) heuristic, the ‘bull flag’, which accepts a particular pattern of historical prices as a signal for a future market price increase, test it with several years of New York Stock Exchange Composite Index history, and find positive results. The results support the validity of technical analysis for stock market price prediction and fail to confirm the efficient markets hypothesis.

Exploring Ambidextrous Innovation Tendencies in the Adoption of Telecommunications Technologies

As the importance of information technology has increased within the business domain, so too has the significance of innovating within those information technologies. The recent proliferation of telecommunications technologies, coupled with conventional information technology, has resulted in a new class of applications with important competitive implications. An important issue for organizations, then, is the causal sequence that leads to more innovative telecommunications adoption. Previous innovation research has shown radical and incremental innovation employing vastly different strategy-structure sequence configurations. Two proposals have been offered on how an organization can effectively innovate incrementally and radically: first, through the use of semi-structures, and second, by utilizing both configurations simultaneously, termed ambidextrous. This paper seeks 1) to determine whether organizations are balancing innovation efforts, and 2) if so, are organizations managing the effort using semi-structures or an ambidextrous approach. The research is conducted within the telecommunications industry by employing theoretical typologies of radical and incremental innovation developed in the literature. Based on a sample of 154 organizations the findings suggest that organizations are indeed using a balanced approach to overall innovativeness by using paradoxical, dual models of innovation simultaneously. Implications for researchers and practitioners are discussed

Exploiting organizational knowledge in developing IS project cost and schedule estimates: An empirical study

Project management is vital to the effective application of organizational resources to competing demands within and across projects. The effective application of project management, however, is predicated upon accurate estimates of the project budget and schedule. This study assesses primary and supporting activities that exploit knowledge within an organizations memory to develop project schedule durations and budgets. The study further assesses the subsequent impact of predictability on project success. Two hundred and sixteen survey responses from IT professionals with project management responsibilities were analyzed. Results found use of the primary activities of using parametric estimating techniques (use of formal models), bottom-up estimating techniques (formulating estimates at the task level), and the support activities of team reliance, realistic targets, and professional experience all impact the predictability of estimates for project cost and duration. Predictability in turn was found to directly impact project success with regards to meeting cost and duration objectives. While use of analogous estimating techniques (using similar previous projects) was not found to be useful for project managers with more experience, it was used by project managers with less experience in determining predictability.

Trading With a Stock Chart Heuristic

The efficient market hypothesis (EMH) is a cornerstone of financial economics. The EMH asserts that security prices fully reflect all available information and that the stock market prices securities at their fair values. Therefore, investors cannot consistently ldquobeat the marketrdquo because stocks reside in perpetual equilibrium, making research efforts futile. This flies in the face of the conventional nonacademic wisdom that astute analysts can beat the market using technical or fundamental stock analysis. The purpose of this research is to partially assess whether technical analysts, who predict future stock prices by analyzing past stock prices, can consistently achieve a trading return that outperforms the stock market average return. This is tested using knowlege engineering experimentation with one price history pattern - the ldquobull flag stock chartrdquo - which signals technical analysts of a future stock market price increase. A recognizer for the stock chart pattern is built using a template-matching technique from pattern recognition. The recognizer and associated trading rules are then tested by simulating trading on over 35 years of daily closing price data for the New York stock exchange composite index. The experiment is then replicated using the horizontal rotation or mirror image pattern of the ldquobull flagrdquo (or ldquobear flagrdquo stock chart) that signals a future stock market decrease. Results are systematic, statistically significant, and fail to confirm the null hypothesis based on a corollary to the EMH: that profit realized from trading determined by this heuristic method is no better than what would be realized from trading decisions based on random choice.

Co-Worker Exclusion and Employee Outcomes: An Investigation of the Moderating Roles of Perceived Organizational and Social Support

When does social support alleviate or exacerbate the effects of being excluded by colleagues in the workplace? This study integrates belongingness and social support theories to predict and demonstrate the differential effects of work-related support (i.e., perceived organizational support; POS) and non-work-related support (i.e., family and social support; FSS) on employee reactions to co-worker exclusion. Consistent with our predictions, we found that employees reporting high levels of co-worker exclusion and high levels of perceived organizational support demonstrate higher levels of performance and increased levels of self-worth than those reporting low levels of POS. Alternatively, support from family or friends intensified the negative relationship between co-worker exclusion and self-esteem and the positive relationship between co-worker exclusion and job-induced tension. Unexpectedly, FSS did not influence the supervisor-rated task performance of excluded workers, nor did POS mitigate the relationship between co-worker exclusion and job-induced tension. Implications for theory, research, and practice are discussed.

Utilizing knowledge links in the implementation of system development methodologies

Abstract Developing technical ‘know-how’ is a slow process that can become a barrier in implementing complex administrative technologies such as a software development methodology. To overcome this barrier, organizations often seek knowledge links that can enhance learning and minimize inevitable problems that are encountered in an implementation process. This paper presents the findings of an empirical study that examines the prescribed versus actual use of external consultants, universities and vendors as knowledge links during the implementation of systems development methodologies (SDM). First, the study assesses the need and value of establishing and utilizing links to external sources of expertise for successful SDM implementation. We then identify and analyze a gap that exists between what the links to external knowledge are perceived to be capable of contributing and what the links to external knowledge are actually contributing during SDM implementation. In conclusion, possible reasons for the gap are discussed.