Prediction of IS Project Escalation Based on Software Development Risk Management

The management of teams in a distributed IS development project is challenging. It has even been suggested that a new breed of managers for the management of dispersed teams is needed, especially when relationships cross national boundaries. Challenges in distributed, global IS development are understood as related to three dimensions of distance: geographic, temporal, and cultural distance, which affect the manager's ability to control and coordinate distributed IS development projects. This chapter argues that combining a relationship perspective with a success perspective is fruitful for understanding distributed IS development projects. In this context there are several significant conditions that draw the attention to the challenges in the practice of distributed IS development projects. The chapter ends with the provision of a conceptual framework addressing relational-oriented conditions for the management of distributed IS development projects. Using the framework, managers can identify the relational-oriented conditions for realizing the benefits of distributed IS development projects.

Stochastic simulation of risk factor potential effects for software development risk management

Despite the increasing attention to global IS work, there is limited understanding of why and how global IS development projects succeed or fail. Based on the literature on IS success and global teams, we develop a conceptual framework for global IS development project success. We also conducted interviews with nine global IS project managers to validate this framework through a qualitative attribution analysis to identify common themes and patterns of the interview results. Global project managers identified time separation, cultural differences and geographic distance as the most significant barriers to project success. Organizations implemented various communication mechanisms, task programming, and project control methods to mitigate global risks, leading to project success.

While the number of substantive investments in IS projects continues to grow, the number of failing projects also continues to increase at an alarming rate. Both the academic and industry literature suggests that inadequate attention to risk and its management continues to be a key factor in project failure. The typical approach taken is to identify and map potential risks, to act as a planning and diagnostic tool, and to prepare a contingency plan has been a factor-based approach. While it remains a valuable tool for mapping anticipated risks the factor-based approach is less effective when viewing project risks as emergent phenomena that un-fold during the course of the project, and require ongoing attention and risk management. In-formed by a case study of a failing university IS development project, this paper focuses on the phenomenon of risk escalation. The case findings suggest that rather than being defined ahead of the project, some project risks may emerge during the project as a consequence of escalation factors that were both antecedent to and a consequence of actual risk management decisions. The article concludes with suggestions as to how project managers can better man-age the emergent rather than static nature of risk phenomena.

The effects of project uncertainty and risk management on IS development project performance: A vendor perspective

Would the outcome of a Global multinational organization's decision be the same if the same decision were to be made in different countries throughout the world? Within the same organization, we propose that national cultural differences can influence decision making in different countries and cultural clusters. While much work has been done on organizational cultural influences, this study examines the influence that national culture has on organizational decision making in respect to the evolution/redevelopment decision that organizations may face at a point in time. Building on findings from the GLOBE research program, we show by empirical testing of a theoretical model that national cultural dimensions are significantly associated with a) the outcome of the decision to enhance or re-develop a system, and b) the organizational level at which such decisions are made. This research is significant as a means to improve management decision making, particularly with regard to the enhancement versus redevelopment decision. The research suggests that a relatively uniform sub-culture exists across the global IS project level but that national cultural dimensions play a more important role in determining the organizational management level at which decisions are made. Our analysis also suggests that technical factors (Upper case tools and platform) carry more influence in the outcome of the decision at the project level (i.e., development or enhancement). However, human factors (national cultural dimensions) were seen to be more important at the management level (i.e., where the decision was made).

Given the continuing prevalence of IS failure, this paper contends that a fresh theoretical perspective and new methodological principles are required. It is argued that learning is crucial to the success of ISD, and that many IS projects miscarry due to the inherently high levels of stress and anxiety that imbue ISD and that elicit defense-avoidance behavior patterns in project teams. Such social defenses reflect modes of group behavior that operate primarily to reduce anxiety, rather than reflecting genuine engagement with the task at hand. It is argued that the operation of these defenses can come to paralyze the learning processes that are critical to effective IS development Following a clinical research strategy, case studies are presented illustrating the working of defensive processes which undermined three IS projects. Three social defenses are illustrated: the organizational ritual, the sibling horde, and paranoid isolationism. Drawing on psychodynamic theory, the concept of transitional space is introduced. Such spaces have two important aspects: a supportive psychological climate and a supply of appropriate transitional objects (i.e., entities that provide temporary emotional support). It is argued that IS development should be reframed as a transitional space, with particular attention given to the selection of appropriate transitional objects to assist in breaking down defensive processes. The cases are revisited to illustrate this approach in action; useful insights and positive practical outcomes are shown. It is concluded that the present psychodynamic perspective has considerable value in relation to the IS discipline: theoretically, in terms of our understanding of the social dynamics of ISD and at a practical level too, through the provision of diagnostic concepts and remedial measures that have significant potential to enhance IS praxis and to redress the high rate of IS failure.

Pumping station (PS) designs in water networks basically contemplate technical and economic aspects. Technical aspects could be related to the number of pumps in PS and the operational modes of PS. Meanwhile, economic aspects could be related to all the costs that intervene in a PS design, such as investment, operational and maintenance costs. In general, water network designs are usually focused on optimizing operational costs or investment costs, However, some subjective technical aspects have not been approached, such as determining the most suitable pump model, the most suitable number of pumps and the complexity of control system operation in a PS design. Therefore, the present work aims to select the most suitable pump model and determine the priorities that technical and economic factors could have in a PS design by a multi-criteria analysis, such as an analytic hierarchy process (AHP). The proposed work will contemplate two main criteria, and every criterion will be integrated by sub-criteria to design a PS. In this way, technical factors (number of pumps and complexity of the operating system) and economic factors (investment, operational and maintenance costs) will be considered for a PS design. The proposed methodology consists of realizing surveys to a different group of experts that determines the importance of one criterion over each other criterion in a PS design through pairwise comparisons. Finally, this methodology will provide importance weight for the criteria and sub-criteria on the PS. Besides, this work will perform a rating of the considered alternatives of pump models in every case study, evaluating quantitatively every alternative with every criterion in the PS design. The main objective of this work will select the most adequate pump model according to the obtained rating, considering technical and economic aspects in every case study.

The push and pull provided by information technology and rapidly changing business demands have led to virtual work becoming increasingly important in organizations. Virtual work can take various forms, from telecommuting to global project development teams. In virtual organizations and communities, individuals can be part of groups that have no physical co-location, and often do not meet, except virtually. Increased globalization, tightened traveling budgets, and heightened security awareness foster the growth of virtual environments. This mini-track focuses on issues related to challenges presented by and effectiveness of virtual work, teams, organizations, and communities. We sought papers addressing these issues from an organizational, managerial, team, community, or individual perspective, as well as papers on enabling technologies and their use in this environment. The resulting twelve papers published in the HICSS-38 proceedings investigate a variety of important topics of interest to researchers and practitioners. Walther, Bunz, and Bazarova address the development of trust in virtual groups. They propose communication rules based on social information processing theory, and empirically test them. Keim and Weitzel also explore trust development in establishing successful virtual partnerships. Factors influencing performance of virtual teams are of critical interest to researchers and practitioners. Staples and Cameron report results from a field study examining relationships between team performance and interpersonal skills, team size, and turnover. DeLone, Espinosa, Lee, and Carmel present a conceptual framework for global IS development project success. They conduct interviews with global project managers to validate the framework. Role coordination -preventing the emergence of individual roles and building shared team interaction mental models -is an important aspect of task performance in teams. Sutanto, Phang, Kuan, Kankanhalli, and Tan investigate this phenomenon in two global virtual teams and offer suggestions on how effective role coordination can be achieved. Galvin, McKinney, and Chudoba also investigate individuals’ integration with the team in pursuit of common objectives, proposing a model to help better understand the process of transformation from being individually centric to being team centric. Zhang, Fjermestad, and Tremain analyze and identify drawbacks and inconsistencies in previous empirical literature on leadership style in the virtual team context. They develop propositions for future research. Misiolek and Heckman examine leadership behavior in virtual teams by observing a virtual collaboration exercise and developing insights into how leadership behaviors emerge and are distributed. Addressing an increasingly important virtual team structure, Mark and Abrams investigate largescale group-to-group collaboration. They examine how interactions differ between collocated and distributed settings in a design team. Results indicate that subgroup interactions occurred differently within sites compared to across sites. DeLuca and Valacich examine communication media choice in virtual groups in two organizations. Results support Media Synchronicity Theory. Bhappu and Crews explore effects of communication media and conflict on team identification in diverse teams and suggest ways diverse teams can manage intra-group conflict. Chidambaram and Carte also examine virtual teams with diverse membership. They propose a model that describes how collaborative technologies can help leverage positive aspects of diversity and limit negative aspects; they then test the model in a longitudinal field study.

Information Systems Development outsourcing (ISD-outsourcing) projects are notorious for not providing agreed deliverables within the stipulated time and budget.More alarmingly, it is estimated that 19% of ISD-outsourcing projects fail outright (Hastie and Wojewod 2015).This study investigates an ISD-outsourcing failure case which was attributed to issues in the requirements engineering process.Adopting a 'control theory' perspective and leveraging case study approach, we examine how the weaknesses in control portfolio contributed to project failure.We attribute the failure not to the absence of control portfolios, rather (i) employing particular control mechanisms incorrectly depending on the phase of requirements engineering process, (ii) dominance of a particular control mechanism, and (iii) insufficiency of particular control mechanisms.

The organizational citizenship behavior of IS personnel: Does organizational justice matter?

Software risk management is a critical component of software development management. Due to the magnitude of potential losses, risk identification and mitigation early on become paramount. Lists containing hundreds of possible risk prompts are available both in academic literature as well as in practice. Given the large number of risks documented, scanning the lists for risks and pinning down relevant risks, though comprehensive, becomes impractical. In this work, a machine learning algorithm is developed to generate risk prompts, based on software project characteristics and other factors. The work also explores the utility of post-classification tagging of risks.

This research intends to evaluate a variable scheme based on the condition of a simple waterworks system in the Brantas river area to obtain the variables that influence each other. This research was conducted in 30 water sources that are distributed in the Brantas river area such as Batu, Malang Regency, Blitar Regency, Jombang Regency, Kediri Regency, Nganjuk Regency, and Tulungagung Regency. The methodology consists of identifying the affected variables to the bron-capturing and to evaluate the indicators that are influenced the variables, then to conduct the statistic test of the indicators to the variables. The research indicators about the performance index model of simple waterworks are obtained through the partial least square (PLS) method. The PLS method is used for evaluating the influenced relationship among the variables that are used in this research, such as the variables of technical, social, and management aspects. The technical aspect consists of physical infrastructure, service, operation, environment damage, and maintenance; the social aspect consists of economy and socio-culture conditions; the management aspect consists of water management institutions, human resources, and monetary aspect. Based on the t calculated analysis of the inner model, where t variable statistic of the technical aspect is 11.632, the social aspect is 3.017, and management aspect is 4.665, each variable has the t calculated higher than t critic (1.682) due to the level of significance (α) = 0.05 or the p value of 0.000, and it is less than the critic value (0.05). Based on the regression analysis, it can be concluded that the technical aspect has the most effect (72.1%) on the performance index model of simple waterworks in the Brantas river area. The second biggest effect is the management aspect (26.7%) in influencing the performance index model of simple waterworks in the Brantas river area. Then, the lowest effect is the social aspect (15.1%) in affecting the performance index model of simple waterworks in the Brantas river area. This result is necessary for supporting the performance index modeling of simple waterworks. Keywords : indicator, variable, bron-capturing, waterworks. https://doi.org/10.55463/issn.1674-2974.50.2.9

Although investment in information technology and information systems continues to increase, projects continue to fail. As a result, IS projects, particularly software projects, are perceived as high risk. By categorizing types of risk, this article helps IS professionals and all project sponsors to identify classes of risk and choose the appropriate managerial behavior to mitigate each of them.

Cardiovascular disease (CVD) is considered to be one of the most epidemic diseases in the world today. Predicting CVDs, such as cardiac arrest, is a difficult task in the area of healthcare. The healthcare industry has a vast collection of datasets for analysis and prediction purposes. Somehow, the predictions made on these publicly available datasets may be erroneous. To make the prediction accurate, real-time data need to be collected. This study collected real-time data using sensors and stored it on a cloud computing platform, such as Google Firebase. The acquired data is then classified using six machine-learning algorithms: Artificial Neural Network (ANN), Random Forest Classifier (RFC), Gradient Boost Extreme Gradient Boosting (XGBoost) classifier, Support Vector Machine (SVM), Naïve Bayes (NB), and Decision Tree (DT). Furthermore, we have presented two novel gender-based risk classification and age-wise risk classification approach in the undertaken study. The presented approaches have used Kaplan-Meier and Cox regression survival analysis methodologies for risk detection and classification. The presented approaches also assist health experts in identifying the risk probability risk and the 10-year risk score prediction. The proposed system is an economical alternative to the existing system due to its low cost. The outcome obtained shows an enhanced level of performance with an overall accuracy of 98% using DT on our collected dataset for cardiac risk prediction. We also introduced two risk classification models for gender- and age-wise people to detect their survival probability. The outcome of the proposed model shows accurate probability in both classes.