Falling behind : business use of social media

Australians are turning onto social media in their droves - nearly 90 per cent of our citizenry are online and more than 50 per cent of the population has a Facebook account.

Faking it : how to kill a business through astroturfing on social media

There is no doubt about it the practice of astroturfing is lazy, misleading and potentially illegal public relations (PR). But on social media, astroturfing is not just lazy and misleading, it can be irresponsible and damaging.

IT-enabled sustainability transformation—the case of SAP

This teaching case describes how SAP, a leading global information technology (IT) solutions provider, embarked on a large-scale transformation program to implement a dual sustainability strategy of: (a) internally transforming the organization, and (b) addressing a business opportunity by developing IT solutions that enable their customers to become more sustainable. This case provides students with significant information about the development of SAP towards sustainability, including the company's underlying motivation, their approach to change and related challenges, and their use of IT to enable the transformation. The teaching case provides an opportunity to critically examine the benefits and risks of using IT in an effort to improve the sustainability of an organization, and to develop appropriate models for sustainable strategies and IT implementation efforts.

Ethics in project management : some Aristotelian insights

Purpose My aim is to introduce, in the project management field, an Aristotelian ethics lens moving beyond the classical deontological and consequentialism approaches underlying the current ethical practices and codes of ethics and professional conducts. In doing so, I wish to pose the premises of a debate on the implications of a conscious ethical perspective for the structure and agency relationship within the project management field Design/methodology/approach Project management is a knowledge field on its own right. However the current perspectives applied to make sense and develop the field (modernism vs. postmodernism) leads to dichotomous thinking rather than recognizing the merits and contextual validity of both sides. I call for Aristotelian Ethics as a way of moving beyond this dichotomous thinking. I introduce briefly Aristotelian Ethics and its consequences in term of relation theory – practice, means and ends, facts and values, and finally politics (i.e. being part of a community of practitioners). Then I illustrate some consequences for the field taking PMI Code of Ethics and Professional Conduct and APM Code of Professional Conduct as supports for discussion Findings I suggest a need for revisiting and/or redesigning the codes of ethics and professional conducts for project management according to an Aristotelian perspective, in order to move beyond the normative limitations of classical deontological (conflict between competing duties, exemplified by PMI Code) or consequentialism (focusing on the "right" outcome to the detriment of duties, exemplified by APM Code) approaches (both, in fact, leading to a disconnection means and ends, and facts and values). This implicates shifting our view from the question "what is my duty?" to the questions "why should I undertake my duty?" and "how ought I act in this situation?" Practical implications Raising Professional Bodies, Industry and Education institutions awareness and consciousness and leading them to rethink about codes of ethics and the implications for the way they conceive practice and research, bodies of knowledge, credentialing, education... Originality/value To the best of my knowledge, this kind of discussion has not yet been conducted within the project management field, and considering the implication of project management in our life and for the well being of the society, an ethical debate may present some value(s)

A recommendation system for predicting risks across multiple business process instances

This paper proposes a recommendation system that supports process participants in taking risk-informed decisions, with the goal of reducing risks that may arise during process execution. Risk reduction involves decreasing the likelihood and severity of a process fault from occurring. Given a business process exposed to risks, e.g. a financial process exposed to a risk of reputation loss, we enact this process and whenever a process participant needs to provide input to the process, e.g. by selecting the next task to execute or by filling out a form, we suggest to the participant the action to perform which minimizes the predicted process risk. Risks are predicted by traversing decision trees generated from the logs of past process executions, which consider process data, involved resources, task durations and other information elements like task frequencies. When applied in the context of multiple process instances running concurrently, a second technique is employed that uses integer linear programming to compute the optimal assignment of resources to tasks to be performed, in order to deal with the interplay between risks relative to different instances. The recommendation system has been implemented as a set of components on top of the YAWL BPM system and its effectiveness has been evaluated using a real-life scenario, in collaboration with risk analysts of a large insurance company. The results, based on a simulation of the real-life scenario and its comparison with the event data provided by the company, show that the process instances executed concurrently complete with significantly fewer faults and with lower fault severities, when the recommendations provided by our recommendation system are taken into account.

Virtual business role-play : leveraging familiar environments to prime stakeholder memory during process elicitation

Business process models have traditionally been an effective way of examining business practices to identify areas for improvement. While common information gathering approaches are generally efficacious, they can be quite time consuming and have the risk of developing inaccuracies when information is forgotten or incorrectly interpreted by analysts. In this study, the potential of a role-playing approach for process elicitation and specification has been examined. This method allows stakeholders to enter a virtual world and role-play actions as they would in reality. As actions are completed, a model is automatically developed, removing the need for stakeholders to learn and understand a modelling grammar. Empirical data obtained in this study suggests that this approach may not only improve both the number of individual process task steps remembered and the correctness of task ordering, but also provide a reduction in the time required for stakeholders to model a process view.

The National Curriculum and history school textbooks in Australia and the Russian Federation

This chapter analyses recent policy reforms in the national history curriculum in both Australia and the Russian Federation. It analyses those emphases in the national curriculum in history that depict new representations and historiography and the ways in which this is foregrounded in History school textbooks. In doing so, it considers the debates about what version of the nation’s past are deemed significant, and what should be transmitted to future generations of citizens. In this discussion of national history curricula, consideration is made of the curriculum’s officially defined status as an instrument in the process of ideological transformation, and nation-building. The chapter also examines how history textbooks are implicit in this process, in terms of reproducing and representing what content is selected and emphasised in a national history curriculum.

Fast and accurate business process drift detection

Business processes are prone to continuous and unexpected changes. Process workers may start executing a process differently in order to adjust to changes in workload, season, guidelines or regulations for example. Early detection of business process changes based on their event logs – also known as business process drift detection – enables analysts to identify and act upon changes that may otherwise affect process performance. Previous methods for business process drift detection are based on an exploration of a potentially large feature space and in some cases they require users to manually identify the specific features that characterize the drift. Depending on the explored feature set, these methods may miss certain types of changes. This paper proposes a fully automated and statistically grounded method for detecting process drift. The core idea is to perform statistical tests over the distributions of runs observed in two consecutive time windows. By adaptively sizing the window, the method strikes a trade-off between classification accuracy and drift detection delay. A validation on synthetic and real-life logs shows that the method accurately detects typical change patterns and scales up to the extent it is applicable for online drift detection.

Log delta analysis: Interpretable differencing of Business process event logs

This paper addresses the problem of identifying and explaining behavioral differences between two business process event logs. The paper presents a method that, given two event logs, returns a set of statements in natural language capturing behavior that is present or frequent in one log, while absent or infrequent in the other. This log delta analysis method allows users to diagnose differences between normal and deviant executions of a process or between two versions or variants of a process. The method relies on a novel approach to losslessly encode an event log as an event structure, combined with a frequency-enhanced technique for differencing pairs of event structures. A validation of the proposed method shows that it accurately diagnoses typical change patterns and can explain differences between normal and deviant cases in a real-life log, more compactly and precisely than previously proposed methods.

Liquid Business Process Model Collections

Many organizations realize that increasing amounts of data (“Big Data”) need to be dealt with intelligently in order to compete with other organizations in terms of efficiency, speed and services. The goal is not to collect as much data as possible, but to turn event data into valuable insights that can be used to improve business processes. However, data-oriented analysis approaches fail to relate event data to process models. At the same time, large organizations are generating piles of process models that are disconnected from the real processes and information systems. In this chapter we propose to manage large collections of process models and event data in an integrated manner. Observed and modeled behavior need to be continuously compared and aligned. This results in a “liquid” business process model collection, i.e. a collection of process models that is in sync with the actual organizational behavior. The collection should self-adapt to evolving organizational behavior and incorporate relevant execution data (e.g. process performance and resource utilization) extracted from the logs, thereby allowing insightful reports to be produced from factual organizational data.

Analysis and improvement of a construction permit approval process: A teaching case for developing business process development capabilities, targeting developing nations

With the increasing competitiveness in global markets, many developing nations are striving to constantly improve their services in search for the next competitive edge. As a result, the demand and need for Business Process Management (BPM) in these regions is seeing a rapid rise. Yet there exists a lack of professional expertise and knowledge to cater to that need. Therefore, the development of well-structured BPM training/ education programs has become an urgent requirement for these industries. Furthermore, the lack of textbooks or other self-educating material, that go beyond the basics of BPM, further ratifies the need for case based teaching and related cases that enable the next generation of professionals in these countries. Teaching cases create an authentic learning environment where complexities and challenges of the ‘real world’ can be presented in a narrative, enabling students to evolve crucial skills such as problem analysis, problem solving, creativity within constraints as well as the application of appropriate tools (BPMN) and techniques (including best practices and benchmarking) within richer and real scenarios. The aim of this paper is to provide a comprehensive teaching case demonstrating the means to tackle any developing nation’s legacy government process undermined by inefficiency and ineffectiveness. The paper also includes thorough teaching notes The article is presented in three main parts: (i) Introduction - that provides a brief background setting the context of this paper, (ii) The Teaching Case, and (iii) Teaching notes.