A methodology to measure coordination of business processes

Coordination of business processes is the management of dependencies where dependencies constrain how the tasks are performed. It has been traditionally done in an intuitive fashion, without paying much attention to the coordination load. Coordination load is being defined as the ratio between the time spent on coordination activities and the total task time. Previous efforts to understand and analyze coordination have resulted in mostly qualitative approaches to categorize and recommend coordination strategies. This research seeks to answer two questions: (1) How can we analyze process coordination problems to improve overall performance? (2) What guidance can we provide to reduce the coordination load of the process and consequently improve the organization's performance? Thus, this effort developed a quantitative measure for coordination load of business processes and a methodology to apply such measure. ^ This effort used a management simulation game to have a controlled laboratory environment enabling the manipulation of the task factors variability, analyzability, and interdependence to measure their impact on coordination load. The hypothesis was that the more variable, non-analyzable, and interdependent a process, the higher the coordination load, and that a higher coordination load would have a negative impact on performance. Coordination load was measured via the surrogate coordination time, and performance via profit. ^ A 22 x 31 full factorial design, with two replicates, was run to observe the impact on the variables coordination time and profit. Properly validated spreadsheets and questionnaires were used as data collection instruments for each scenario. The experimental results indicate that lower task analyzability (ρ=0.036) and higher task interdependence (ρ=0.000) lead to higher coordination load, and higher levels of task variability (ρ=0.049) lead to lower performance. However, contrary to the hypotheses postulated by this work, coordination load did not prove to be strong predictor of performance (correlation of -0.086). ^ These findings from the laboratory experiment and other lessons learned were incorporated to develop a quantitative measure, a tool (survey) to use to gather data for the variables in the measures, and a methodology to quantify coordination load of production business processes. The practicality of the methodology is demonstrated with an example.^

Recreational Food Service is Big Business

In the analysis - Recreational Food Service Is Big Business - by Gary Horvath, President, Recreational Foodservice Division, Service America Corporation and Mickey Warner, Associate Professor School of Hospitality Management at Florida International University, Horvath and Warner initially state: “Recreational food service is very different from routine food service management. The authors review the market and the management planning and challenges that create that difference.” Recreational food is loosely defined by the authors as food for special events. These can be one-time events, repeated events that are not on a fixed schedule [i.e. concerts], weekly events such as football-baseball-or basketball games, or other similar venues. Concessions are a large part of these fan based settings. “An anticipated 101,000 fans at a per capita spending of $5-6 [were expected]. A typical concessions menu of hot dogs, popcorn, soda, beer, snacks, novelty foods, candy, and tobacco products comprises this market segment,” say Horvath and Warner in reference to the Super-Bowl XXI football championship game, held in Rose Bowl stadium in Pasadena, California, on January 25, 1987. Some of the article is based upon that event. These food service efforts focus on the individual fan, but do extend to the corporate-organizational level as well. Your authors will have you know that catering is definitely a part of this equation. The monies spent and earned are phenomenal. “Special events of this type attract numerous corporate catering opportunities for companies entertaining VIP guest lists,” the authors inform. “Hospitality tents usually consist of a pregame cocktail party and buffet and a post-game celebration with musical entertainment held in lavishly decorated tents erected at the site. In this case a total of 5,000 covers, at a price of $200 each, for 12-15 separate parties were anticipated.” Horvath and Warner also want you to know that novelties and souvenirs make up an essential part of this, the recreational food service market. “Novelties and souvenirs are a primary market and source of revenue for every stadium food service operator,” say Horvath and Warner. The term, “per capita spending is the measurement used by the industry to evaluate sales potential per attendee at an event,” say the authors. Of course, with the solid revenue figures involved as well as the number of people anticipated for such events, planning is crucial, say Horvath and Warner. Training of staff, purchasing and supply, money and banking, facility access, and equipment, are a few of the elements to be negotiated. Through both graphs and text, Horvath and Warner do provide a fairly detailed outline of what a six-step event plan consists of.

Game Learning Analytics: Learning Analytics for Serious Games

Video games have become one of the largest entertainment industries, and their power to capture the attention of players worldwide soon prompted the idea of using games to improve education. However, these educational games, commonly referred to as serious games, face different challenges when brought into the classroom, ranging from pragmatic issues (e.g. a high development cost) to deeper educational issues, including a lack of understanding of how the students interact with the games and how the learning process actually occurs. This chapter explores the potential of data-driven approaches to improve the practical applicability of serious games. Existing work done by the entertainment and learning industries helps to build a conceptual model of the tasks required to analyze player interactions in serious games (gaming learning analytics or GLA). The chapter also describes the main ongoing initiatives to create reference GLA infrastructures and their connection to new emerging specifications from the educational technology field. Finally, it explores how this data-driven GLA will help in the development of a new generation of more effective educational games and new business models that will support their expansion. This results in additional ethical implications, which are discussed at the end of the chapter.

Reprint: Learning With a Strategic Management Simulation Q2 Game: A Case Study

The use of simulation games as a pedagogic method is well established though its effective use is context-driven. This study adds to the increasing growing body of empirical evidence of the effectiveness of simulation games but more importantly emphasises why by explaining the instructional design implemented reflecting best practices. This multimethod study finds evidence that student learning was enhanced through the use of simulation games, reflected in the two key themes; simulation games as a catalyst for learning and simulation games as a vehicle for learning. In so doing the research provides one of the few empirically based studies that support simulation games in enhancing learning and, more importantly, contextualizes the enhancement in terms of the instructional design of the curriculum. This research should prove valuable for those with an academic interest in the use of simulation games and management educators who use, or are considering its use. Further, the findings contribute to the academic debate concerning the effective implementation of simulation game-based training in business and management education.

Puzzle game online running on a bidirectional communication framework based on Node.js and Socket.io

Máster Universitario en Ingeniería Informática (Escuela Universitaria de Informática)

How game changers catalyzed, disrupted, and incentivized social innovation: three historical cases of nature conservation, assimilation, and women’s rights

We explore the impact of “game changers” on the dynamics of innovation over time in three problem domains, that of wilderness protection, women’s rights, and assimilation of indigenous children in Canada. Taking a specifically historical and cross-scale approach, we look at one social innovation in each problem domain. We explore the origins and history of the development of the National Parks in the USA, the legalization of contraception in the USA and Canada, and the residential school system in Canada. Based on a comparison of these cases, we identify three kinds of game changers, those that catalyze social innovation, which we define as “seminal,” those that disrupt the continuity of social innovation, which we label exogenous shocks, and those that provide opportunities for novel combinations and recombinations, which we label as endogamous game changers.

Health information management : What business are we in?

Developments in information technology will drive the change in records management; however, it should be the health information managers who drive the information management change. The role of health information management will be challenged to use information technology to broker a range of requests for information from a variety of users, including he alth consumers. The purposes of this paper are to conceptualise the role of health information management in the context of a technologically driven and managed health care environment, and to demonstrat e how this framework has been used to review and develop the undergraduate program in health information management at the Queensland University of Technology.

Pattern-based analysis of EAI languages : the case of the business modelling language

Enterprise Application Integration (EAI) is a challenging area that is attracting growing attention from the software industry and the research community. A landscape of languages and techniques for EAI has emerged and is continuously being enriched with new proposals from different software vendors and coalitions. However, little or no effort has been dedicated to systematically evaluate and compare these languages and techniques. The work reported in this paper is a first step in this direction. It presents an in-depth analysis of a language, namely the Business Modeling Language, specifically developed for EAI. The framework used for this analysis is based on a number of workflow and communication patterns. This framework provides a basis for evaluating the advantages and drawbacks of EAI languages with respect to recurrent problems and situations.