Maturity Assessment Framework for Business Dimension of Software Product Family

The software product family approach aims at curtailing the concept of “reinventing the wheel” in the software development process. The business has been highlighted as one of the critical dimensions in the process of software product family. This work presents an assessment framework for evaluating the business dimension of software product family process. Additionally, a software product family business evaluation tool has been designed and implemented on the basis of the presented framework. The tool preprocesses the data of key business factors, and it evaluates the overall business maturity of an organization. To demonstrate the application of the framework, and to determine the current software product family business performance, we conducted a case study of an organization actively involved in the business of software product family. The framework and the tool provide direct mechanisms to evaluate the current maturity level of software product family business of an organization. This research is a contribution towards establishing a comprehensive and unified strategy for a process evaluation of the software product family

Measuring the Stability of Process Outcome Predictions in Online Settings

Predictive Process Monitoring aims to forecast the future progress of process instances using historical event data. As predictive process monitoring is increasingly applied in online settings to enable timely interventions, evaluating the performance of the underlying models becomes crucial for ensuring their consistency and reliability over time. This is especially important in high risk business scenarios where incorrect predictions may have severe consequences. However, predictive models are currently usually evaluated using a single, aggregated value or a time-series visualization, which makes it challenging to assess their performance and, specifically, their stability over time. This paper proposes an evaluation framework for assessing the stability of models for online predictive process monitoring. The framework introduces four performance meta-measures: the frequency of significant performance drops, the magnitude of such drops, the recovery rate, and the volatility of performance. To validate this framework, we applied it to two artificial and two real-world event logs. The results demonstrate that these meta-measures facilitate the comparison and selection of predictive models for different risk-taking scenarios. Such insights are of particular value to enhance decision-making in dynamic business environments.Comment: 8 pages, 3 figures, Proceedings of the 5th International Conference on Process Mining (ICPM 2023

A Survey on Economic-driven Evaluations of Information Technology

The economic-driven evaluation of information technology (IT) has become an important instrument in the management of IT projects. Numerous approaches have been developed to quantify the costs of an IT investment and its assumed profit, to evaluate its impact on business process performance, and to analyze the role of IT regarding the achievement of enterprise objectives. This paper discusses approaches for evaluating IT from an economic-driven perspective. Our comparison is based on a framework distinguishing between classification criteria and evaluation criteria. The former allow for the categorization of evaluation approaches based on their similarities and differences. The latter, by contrast, represent attributes that allow to evaluate the discussed approaches. Finally, we give an example of a typical economic-driven IT evaluation

Towards a Framework for Realizing Healthcare Management Benefits Through the Integration of Patient\u27s Information

Business Intelligence (BI) applications, including customer relationship management systems, decision support systems, analytical processing systems, and data mining systems, have captured the attention of practitioners and researchers for the last few years. Health care organizations, which are data driven and in which quality and integration of data is of paramount importance, have adopted BI applications to help and assist healthcare managers in improving the quality of the information input to the decision process. Based on preliminary data collection results, it is found that high quality data is essential to successful BI performance and that technological support for data acquisition, analysis and deployment are not widespread. Yet, business organizations are not investing in improving data quality and data integration. In this paper the authors propose a framework for evaluating the quality and integration of patient’s data for BI applications in healthcare organizations. In doing so, a range of potential benefits is highlighted. Even though this framework is in an early stage of development, it intends to present existing solutions for evaluating the above issues. The authors conclude that further research needs to be carried out to refine this framework, through model testing and case studies evaluation

The Complexity of the Application of Balanced Scorecard Method in Performance Evaluation: Case of Cote D’Ivoire Commercial Banks

In the recent past, business relies only on financial indicators as the measures for evaluating performance. There is the requirement to include non-financial and financial measures of performance and determine key performance indicators that connect measurements to strategy and Balanced Scorecard is one of such instrument because it assesses the performance of an organization from various stages, namely financial, customer, internal process and learning and growth. However, it appears that this powerful tool is not implemented yet by plenty of industries in Cote d’Ivoire including commercial banks. This study therefore aimed at evaluating performance of banks in Cote d’Ivoire using balanced scorecard framework. A sample size of three (3) banks was employed out of the population of eighteen (18) commercial banks for the completion of this research. A total of one hundred fifty (150) copies of questionnaire were distributed to the executive staff and customer of the three (3) selected banks out of which one hundred forty four (144) copies were properly filled and given back. A computation of several metrics/measures and the Spearman’s Rank Correlation Coefficient were used as the techniques for data analysis. The survey concluded that BSC framework can be implemented to assess performance of banks in Ivory Coast and also argued that is a relevant measurement tool which can provide additional information on customer satisfaction, internal business processes and learning & growth perspective. Therefore the survey advised companies to carry out the BSC in order to fully take advantages from their investment. Keywords: Balanced Scorecard, Performance evaluation, Commercial bank, Cote d’Ivoir

Can fuzzy Multi-Criteria Decision Making improve Strategic planning by balanced scorecard?

Strategic management is momentous for organizational success and competitive advantage in an increasingly turbulent business environment. Balanced scorecard (BSC) is a framework for evaluating strategic management performance which translates strategy into action via various sets of performance measurement indicators. The main objective of this research is to develop a new fuzzy group Multi-Criteria Decision Making (MCDM) model for strategic plans selection process in the BSC. For this to happen, the current study has implemented linguistic extension of MCDM model for robust selection of strategic plans. The new linguistic reasoning for group decision making is able to aggregate subjective evaluation of the decision makers and hence create an opportunity to perform more robust strategic plans, despite of the vagueness and uncertainty of strategic plans selection process. A numerical example demonstrates possibilities for the improvement of BSC through applying the proposed model

Methodological Framework for implementing and evaluating Living Labs

A Living Lab constitutes a research approach for innovation that challenges the whole research and innovation process in real-life conditions by human, social, cultural, organizational and institutional aspects having an impact on sustainable service, business and technology development. In this sense, Living Labs are experimentation and validation environments characterized by the early involvement of user communities, closely working together with developers and other stakeholders, and driving rapid cycles of ICT-based innovations. There is a lack of formalized methods for implementing and evaluating Living Labs regarding how Living labs act as innovation environments and what is the impact of such Living labs in creating value for users, stakeholders in the setting where they are established. This methodological framework contributes to the determination of the following issues: • Determine and disseminate the efficient practices for creating and implementing Living Labs. • Determine and assess the relative progress and impacts of living labs and understand the determining factors and processes. • Understand how LL influence their rural and regional environments • Understand the different development patterns of Living Labs and understand the determining factors • Assess the performance of the Living labs as innovation methodolog

Understanding the Business Value Creation Process for Business Intelligence Tools in the UAE

Background: In today’s dynamically changing business environment, organizations are constantly striving to improve their organizational performance, and the use of business intelligence (BI) aids in this process. This is a key reason why BI has captured the attention of many academicians and practitioners. Most of the research on BI highlights its importance and the ways in which it facilitates decision-making; however, there is limited research on how the use of BI tools and applications benefits the organization by enabling it to convert the millions of dollars spent on BI investment into business value. This study validates the “business value of BI” framework by evaluating the business value creation process for BI tools in the UAE. Method: The data for this empirical study were collected via interviews with 15 middle managers from various industries in the UAE, with a focus on BI tools and the use of BI in their organizations. Results: The results show that a business value creation process for BI exists and that it is divided into three subprocesses: the BI conversion process, BI use process, and BI competitive process. Conclusions: The use of BI has become necessary for organizations to compete effectually. The results of this study identify the various BI tools that organizations in the UAE use. Furthermore, the results highlight the business value creation process of BI tools and how the effective use BI offers an information advantage that facilitates decision-making and eventually promotes financial and non-financial benefits for the organization. Available at: https://aisel.aisnet.org/pajais/vol11/iss3/4

Collaboration In The Supply Chain of Road Safety System Division (RSSD) at Titan Indonesia to Improve Effectiveness and Efficiency Operational Performance

The purpose of this paper is to give the root cause and several strategies as a business solution to improve RSS division performance with creating a good business model and strategy of supply chain operation in terms of effectiveness and efficiency of business process division, to improve its operational performance in order to meet its customer needs and wants.Design/methodology/approach – By using The Porter’s 5 Forces analysis to examine the fundamental characteristics and structures. Five forces model of Porter is a framework for evaluating the industrial structure (business threats and opportunities) according to: the effects of rivalry, threat of entry, supplier’s power, buyer’s power, and threat of substitutes. The business issues exploration will be carried out by reviewing inbound supply chain, outbound supply chain, and business process. The root cause analysis of this case study was carried out to illustrate the applicabalityt of the framework.Findings –The findings show that adoption of collaboration in supply chain concept facilitates the chain members to have a broader view to develop and ensure an effective collaboration.Research limitations/implications –The analysis would only cover the time period of 2010 to 2012 as the past data because of the age of the existing division; The analysis only covers in-depth operational performance optimization strategy related to business channels performance that affects the RSSD profitability. Practical implications – The concept of Supply Chain Collaboration can be used by the chain members in the discussion forum to (re)design appropriate settings of the five elements of the architecture that lead to better overall performance.Keywords: Collaborative Supply Chain System, Information Sharing, Incentive Alignment, Decision Synchronization, and Innovative Suply Chain Processes. Â