Introduction to Intelligent Decision Support and Big Data for Logistics and Supply Chain Management Minitrack

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25+ Years of Business Intelligence and Analytics Minitrack at HICSS: A Text Mining Analysis

This research project is inspired by the occasion of the 50th anniversary of the Hawaii International Conferences on Systems Sciences (HICSS). As the current co-chairs of the longest-running minitrack on Business Intelligence (BI), Business Analytics (BA) and Big Data (as it is currently known) at HICSS, we report on its 27-year history of relevant and interesting research. Our insights into the key research themes and their progress over time were obtained through a semantic text mining of all research publications included in this minitrack since 1990. We also illustrate a practical method of using a sophisticated text-mining tool (Leximancer) so that it could be replicated by other researchers interested in content analysis methods in other research fields

AGILE SOLUTIONS & DATA ANALITICS FOR LOGISTICS PROVIDERS BASED ON SIMULATION

The current advances are enabling the development of new solutions in data analytics and decision making in many fields; it is quite interesting to analyze the impact of this approach on logistics providers; this paper proposes examples of these challenges in this context as well as an example of a simulation based solution able to interconnect the different information sources and to fuse the data in order to analyze the logistics processes and support decisions. The proposed solution is based on web services and web application that are adopting the MSaaS concept (Modeling & Simulation as a Service) by using stochastic models

Business Analytics Capabilities for Organisational Resilience

Nowadays, organizations are facing unique challenges created by different disruptions, including natural disasters, new technologies, regulatory changes, and more recently, a global pandemic. Consequently, the need to build, sustain, and continuously enhance Organizational Resilience (OR) is greater than ever. An ongoing process of building OR requires high-quality data and business analytics (BA) capabilities. In this paper we aim to investigate the yet-to-be explored link between BA and OR. We achieve this aim by conducting a multidisciplinary literature review on OR and BA, focusing on BA capabilities for OR. Based on our findings, we then propose a conceptual framework of BA capabilities for OR. In doing so, we also bring a well-established area of OR to the attention of BA researchers, as a critically important area for further BA research and practice

Determinants of using telematics systems in road transport companies

Purpose: The aim of this study is to evaluate the scope of using telematics systems based on GPS/GPRS in the road transport as well as to identify determinants of applying telematics tools to increase the quality in the supply chain. Design/Methodology/Approach: The contribution is based on a review of literature, preparing of a questionnaire-based survey directed to road transport companies and estimating logit models. Findings: It is submitted that there is an observable trend of extending telematics in the road transport. The following variables increase the probability of using telematics systems for punctuality checking in supply chains such as the number of employed persons, importance of telematics for getting new orders, managers’ viewpoints that telematics increases the quality of order processing and forecasting punctuality of loadings as well as speeds up decision-making processes. Practical Implications: Application of IT solutions including telematics in road transport is growing continuously. However, the awareness of managers about possible areas of applying them is still unsatisfactory. The paper reveals the determinants of application telematics in supply chain, which can be used to motivate and train managers to extend its scope in practice. Originality/Value: The study is based on primary data from road transport companies and related to the scope of application of telematics systems in operational management. A logit model is applied to evaluate the determinants of using IT systems in the road transport industry. It may be useful for practitioners and analytics of transport industry to broaden applications of IT solutions.peer-reviewe

Business intelligence as the support of decision-making processes in e-commerce systems environment

The present state of world economy urges managers to look for new methods, which can help to start the economic growth. To achieve this goal, managers use standard as well as new procedures. The fundamental prerequisite of the efficient decision-making processes are actual and right information. Managers need to monitor past information and current actual information to generate trends of future development based on it. Managers always should define strictly what do they want to know, how do they want to see it and for what purpose do they want to use it. Only in this case they can get right information applicable to efficient decision-making. Generally, managers´ decisions should lead to make the customers´ decision-making process easier. More frequently than ever, companies use e-commerce systems for the support of their business activities. In connection with the present state and future development, cross-border online shopping growth can be expected. To support this, companies will need much better systems providing the managers adequate and sufficient information. This type of information, which is usually multidimensional, can be provided by the Business Intelligence (BI) technologies. Besides special BI systems, some of BI technologies are obtained in quite a few of ERP (Enterprise Resource Planning) systems. One of the crucial questions is whether should companies and firms buy or develop special BI software, or whether they can use BI tools contained in some ERP systems. In respect of this, there is a question if the modern ERP systems can provide the managers sufficient possibilities relating to ad-hoc reporting, static and dynamic reports and OLAP analyses. A one of the main goals of this article is to show and verify Business Intelligence tools of Microsoft Dynamics NAV for the support of decision-making in terms of the cross-border online purchasing. Pursuant to above-mentioned, in this article authors deal with problems relating to managers´ decision-making, customers´ decision-making and a support of its using the BI tools contained in ERP system Microsoft Dynamics NAV. A great deal of this article is aimed at area of multidimensional data which are the source data of e-commerce systems.Business Intelligence, decision-making, e-commerce system, cross-border online purchasing, multi-dimensional data, reporting, data visualization