Vivek Shah

Workforce, information technology and global unemployment

This paper explores the ramifications of information technology on the global workforce and impact of technology on the world economy. The paper discusses complex issues facing the governments, societies, and business corporations such as changing job contents, global unemployment, and transition from human workers to machines. In conclusion, the replacement of workers by machines is going to force every nation to rethink the role of technology in everyday life in the twenty‐first century.

Examining the sensitivity of the standardized cumulative prediction error as an event study test statistic

Abstract This study examines the sensitivity of the mean cumulative prediction error (CPE) and the Z value for the CPE , two relatively recently developed event study statistics, in a simulation context. It finds the new statistics to be very sensitive to any detectable extra return in the sample securities. The article provides prospective users of these statistics a calibration of the measures.

The era of digital activism

Since the advent of the internet, the world has undergone a digital revolution. The new tools of social media have reinvented social activism, heralding the era of digital activism. This paper provides a framework and terminology for understanding digital activism. It describes the fundamental differences between traditional activism, as it existed before internet-driven social media, and as it manifests itself now using the tools of digital technology. The paper analyses the potential risks and benefits of digital activism, both of which are amplified with the use of internet-based social media. The paper sets a framework that explains how the use of activism can have a positive impact and bring about the activists’ desired effect. On the other hand, activism can have a negative result in terms of friction in the public domain. The digital aspect of activism amplifies the entire process. Activism has become a higher risk/higher benefit activity.

Information system programmes: academic myopia?

Information Systems (IS) academic programmes must respond to continuous changes in Information Technology (IT), outsourcing of IT jobs and declining enrolment. This paper examines the future role of IS academic programmes and the consequences if these programmes fail to meet the needs of a dynamic environment.

Teaching multiple regression in elementary statistics

This is a starting point for those instructors who desire to enhance their teaching of elementary business statistics. The course must cover the fundamentals and there is not always time to discuss applications effectively. The discussion of applications is essential for the business student to be able to realise the relevance of statistical methods in decision-making. Therefore, the course is reorganised in order to exploit the dependence among topics. A modified outline for the business statistics course and a rationale are presented. Some of the benefits derived from the modified outline and feedback obtained from students and faculty are discussed.

Cycle regression analysis: simultaneous estimation of trigonometric components of a time series

Abstract Cycle regression analysis is a continuously evolving family of algorithms that provides the simultaneous estimation of all parameters of a sinusoidal model. The newest members of the family, which add spectral analysis to the nonlinear regression methodology, are introduced in this paper. The new algorithms have been applied to some of the most classic time-series data sets in the literature. A comparison, of the results of the analysis are made to the results of applying two other forecasting techniques: stepwise estimation procedure and asymptotic maximum likelihood approach. The ability of the cycle regression analysis method to simultaneously estimate parameters is shown to provide an inherent advantage over these other two techniques. A set of contemporary business data from the M-2 competition is also analyzed using cycle regression analysis and the results presented. One of these new cycle regression analysis algorithms was selected to be included among the forecasting techniques used in the international M-2 competition.

Designing Models for Software as a Service in Cloud Computing

This paper details the case study of the model development at a company that offers software as a service (SaaS) to clients in the services industry. The growing market for SaaS provides the company tremendous opportunities to succeed as a startup. A new cloud-based system is aimed at facilitating the automation of cross-department collaboration by integrating companys Web applications to other service providers and Enterprise Resource Planning systems. However, as it is challenging to dynamically integrate multiple autonomous software systems, the company has identified Web services technologies as the foundation of the next generation software solutions. To create an extensible solution, Event-Driven Process Chain and Unified Modeling Language models are developed to model enterprise business processes and their departmental functions. The models are abstract views of complex enterprise systems. After the implementation of such models, the management team can further address issues related to the cost effectiveness, reliability and data security of software-supported business processes.